datafusion-distributed 2.0.0

#[cfg(all(feature = "integration", feature = "tpcds", test))]
mod tests {
    use datafusion::error::Result;
    use datafusion_distributed::test_utils::in_memory_channel_resolver::start_in_memory_context;
    use datafusion_distributed::{
        DefaultSessionBuilder, DistributedExec, DistributedExt, assert_snapshot, display_plan_ascii,
    };
    use datafusion_distributed_benchmarks::datasets::{register_tables, tpcds};
    use std::env;
    use std::fs;
    use std::path::Path;
    use tokio::sync::OnceCell;

    const NUM_WORKERS: usize = 4;
    const PARTITIONS: usize = 3;
    const FILE_SCAN_CONFIG_BYTES_PER_PARTITION: usize = 1;
    const CARDINALITY_TASK_COUNT_FACTOR: f64 = 2.0;
    const SF: f64 = 1.0;
    const PARQUET_PARTITIONS: usize = 4;

    #[tokio::test]
    async fn test_tpcds_1() -> Result<()> {
        let display = test_tpcds_query("q1").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [c_customer_id@0 ASC NULLS LAST], fetch=100
        │   [Stage 9] => NetworkCoalesceExec: output_partitions=12, input_tasks=4
        └──────────────────────────────────────────────────
          ┌───── Stage 9 ── Tasks: t0:[p0..p2] t1:[p0..p2] t2:[p0..p2] t3:[p0..p2]
          │ SortExec: TopK(fetch=100), expr=[c_customer_id@0 ASC NULLS LAST], preserve_partitioning=[true]
          │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(ctr_store_sk@0, ctr_store_sk@1)], filter=CAST(ctr_total_return@0 AS Decimal128(30, 15)) > avg(ctr2.ctr_total_return) * Float64(1.2)@1, projection=[c_customer_id@2]
          │     CoalescePartitionsExec
          │       [Stage 5] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
          │     ProjectionExec: expr=[CAST(CAST(avg(ctr2.ctr_total_return)@1 AS Float64) * 1.2 AS Decimal128(30, 15)) as avg(ctr2.ctr_total_return) * Float64(1.2), ctr_store_sk@0 as ctr_store_sk]
          │       AggregateExec: mode=FinalPartitioned, gby=[ctr_store_sk@0 as ctr_store_sk], aggr=[avg(ctr2.ctr_total_return)]
          │         [Stage 8] => NetworkShuffleExec: output_partitions=3, input_tasks=2
          └──────────────────────────────────────────────────
            ┌───── Stage 5 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(ctr_customer_sk@0, c_customer_sk@0)], projection=[ctr_store_sk@1, ctr_total_return@2, c_customer_id@4]
            │     CoalescePartitionsExec
            │       [Stage 4] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=2
            │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_customer_id], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_customer_id], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_customer_id], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_customer_id], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 4 ── Tasks: t0:[p0..p11] t1:[p12..p23]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(s_store_sk@0, ctr_store_sk@1)], projection=[ctr_customer_sk@1, ctr_store_sk@2, ctr_total_return@3]
              │     CoalescePartitionsExec
              │       [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=6, input_tasks=4
              │     ProjectionExec: expr=[sr_customer_sk@0 as ctr_customer_sk, sr_store_sk@1 as ctr_store_sk, sum(store_returns.sr_return_amt)@2 as ctr_total_return]
              │       AggregateExec: mode=FinalPartitioned, gby=[sr_customer_sk@0 as sr_customer_sk, sr_store_sk@1 as sr_store_sk], aggr=[sum(store_returns.sr_return_amt)]
              │         [Stage 3] => NetworkShuffleExec: output_partitions=3, input_tasks=4
              └──────────────────────────────────────────────────
                ┌───── Stage 1 ── Tasks: t0:[p0..p5] t1:[p6..p11] t2:[p12..p17] t3:[p18..p23]
                │ BroadcastExec: input_partitions=3, consumer_tasks=2, output_partitions=6
                │   FilterExec: s_state@1 = TN, projection=[s_store_sk@0]
                │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>]]}, projection=[s_store_sk, s_state], file_type=parquet, predicate=s_state@24 = TN, pruning_predicate=s_state_null_count@2 != row_count@3 AND s_state_min@0 <= TN AND TN <= s_state_max@1, required_guarantees=[s_state in (TN)]
                │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>]]}, projection=[s_store_sk, s_state], file_type=parquet, predicate=s_state@24 = TN, pruning_predicate=s_state_null_count@2 != row_count@3 AND s_state_min@0 <= TN AND TN <= s_state_max@1, required_guarantees=[s_state in (TN)]
                │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_state], file_type=parquet, predicate=s_state@24 = TN, pruning_predicate=s_state_null_count@2 != row_count@3 AND s_state_min@0 <= TN AND TN <= s_state_max@1, required_guarantees=[s_state in (TN)]
                │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_state], file_type=parquet, predicate=s_state@24 = TN, pruning_predicate=s_state_null_count@2 != row_count@3 AND s_state_min@0 <= TN AND TN <= s_state_max@1, required_guarantees=[s_state in (TN)]
                └──────────────────────────────────────────────────
                ┌───── Stage 3 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
                │ RepartitionExec: partitioning=Hash([sr_customer_sk@0, sr_store_sk@1], 6), input_partitions=3
                │   AggregateExec: mode=Partial, gby=[sr_customer_sk@0 as sr_customer_sk, sr_store_sk@1 as sr_store_sk], aggr=[sum(store_returns.sr_return_amt)]
                │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, sr_returned_date_sk@0)], projection=[sr_customer_sk@2, sr_store_sk@3, sr_return_amt@4]
                │       CoalescePartitionsExec
                │         [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>]]}, projection=[sr_returned_date_sk, sr_customer_sk, sr_store_sk, sr_return_amt], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │         t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-3.parquet:<int>..<int>]]}, projection=[sr_returned_date_sk, sr_customer_sk, sr_store_sk, sr_return_amt], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │         t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-3.parquet:<int>..<int>]]}, projection=[sr_returned_date_sk, sr_customer_sk, sr_store_sk, sr_return_amt], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │         t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-3.parquet:<int>..<int>]]}, projection=[sr_returned_date_sk, sr_customer_sk, sr_store_sk, sr_return_amt], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                └──────────────────────────────────────────────────
                  ┌───── Stage 2 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                  │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                  │   FilterExec: d_year@1 = 2000, projection=[d_date_sk@0]
                  │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                  │       DistributedLeafExec:
                  │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2000, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1, required_guarantees=[d_year in (2000)]
                  │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2000, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1, required_guarantees=[d_year in (2000)]
                  │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2000, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1, required_guarantees=[d_year in (2000)]
                  │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2000, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1, required_guarantees=[d_year in (2000)]
                  └──────────────────────────────────────────────────
            ┌───── Stage 8 ── Tasks: t0:[p0..p11] t1:[p0..p11]
            │ RepartitionExec: partitioning=Hash([ctr_store_sk@0], 12), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[ctr_store_sk@0 as ctr_store_sk], aggr=[avg(ctr2.ctr_total_return)]
            │     ProjectionExec: expr=[sr_store_sk@1 as ctr_store_sk, sum(store_returns.sr_return_amt)@2 as ctr_total_return]
            │       AggregateExec: mode=FinalPartitioned, gby=[sr_customer_sk@0 as sr_customer_sk, sr_store_sk@1 as sr_store_sk], aggr=[sum(store_returns.sr_return_amt)]
            │         [Stage 7] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            └──────────────────────────────────────────────────
              ┌───── Stage 7 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
              │ RepartitionExec: partitioning=Hash([sr_customer_sk@0, sr_store_sk@1], 6), input_partitions=3
              │   AggregateExec: mode=Partial, gby=[sr_customer_sk@0 as sr_customer_sk, sr_store_sk@1 as sr_store_sk], aggr=[sum(store_returns.sr_return_amt)]
              │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, sr_returned_date_sk@0)], projection=[sr_customer_sk@2, sr_store_sk@3, sr_return_amt@4]
              │       CoalescePartitionsExec
              │         [Stage 6] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>]]}, projection=[sr_returned_date_sk, sr_customer_sk, sr_store_sk, sr_return_amt], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │         t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-3.parquet:<int>..<int>]]}, projection=[sr_returned_date_sk, sr_customer_sk, sr_store_sk, sr_return_amt], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │         t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-3.parquet:<int>..<int>]]}, projection=[sr_returned_date_sk, sr_customer_sk, sr_store_sk, sr_return_amt], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │         t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-3.parquet:<int>..<int>]]}, projection=[sr_returned_date_sk, sr_customer_sk, sr_store_sk, sr_return_amt], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
                ┌───── Stage 6 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                │   FilterExec: d_year@1 = 2000, projection=[d_date_sk@0]
                │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2000, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1, required_guarantees=[d_year in (2000)]
                │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2000, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1, required_guarantees=[d_year in (2000)]
                │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2000, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1, required_guarantees=[d_year in (2000)]
                │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2000, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1, required_guarantees=[d_year in (2000)]
                └──────────────────────────────────────────────────
        ");
        Ok(())
    }

    #[tokio::test]
    async fn test_tpcds_2() -> Result<()> {
        let display = test_tpcds_query("q2").await?;
        assert_snapshot!(display, @r#"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [d_week_seq1@0 ASC]
        │   [Stage 9] => NetworkCoalesceExec: output_partitions=6, input_tasks=2
        └──────────────────────────────────────────────────
          ┌───── Stage 9 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ SortExec: expr=[d_week_seq1@0 ASC], preserve_partitioning=[true]
          │   ProjectionExec: expr=[d_week_seq1@0 as d_week_seq1, round(sun_sales1@1 / sun_sales2@2, 2) as r1, round(mon_sales1@3 / mon_sales2@4, 2) as r2, round(tue_sales1@5 / tue_sales2@6, 2) as r3, round(wed_sales1@7 / wed_sales2@8, 2) as r4, round(thu_sales1@9 / thu_sales2@10, 2) as r5, round(fri_sales1@11 / fri_sales2@12, 2) as r6, round(sat_sales1@13 / sat_sales2@14, 2) as round(y.sat_sales1 / z.sat_sales2,Int64(2))]
          │     HashJoinExec: mode=Partitioned, join_type=Inner, on=[(CAST(y.d_week_seq1 AS Int64)@8, z.d_week_seq2 - Int64(53)@8)], projection=[d_week_seq1@0, sun_sales1@1, sun_sales2@10, mon_sales1@2, mon_sales2@11, tue_sales1@3, tue_sales2@12, wed_sales1@4, wed_sales2@13, thu_sales1@5, thu_sales2@14, fri_sales1@6, fri_sales2@15, sat_sales1@7, sat_sales2@16]
          │       [Stage 4] => NetworkShuffleExec: output_partitions=3, input_tasks=2
          │       [Stage 8] => NetworkShuffleExec: output_partitions=3, input_tasks=2
          └──────────────────────────────────────────────────
            ┌───── Stage 4 ── Tasks: t0:[p0..p5] t1:[p0..p5]
            │ RepartitionExec: partitioning=Hash([CAST(y.d_week_seq1 AS Int64)@8], 6), input_partitions=3
            │   ProjectionExec: expr=[d_week_seq@0 as d_week_seq1, sun_sales@1 as sun_sales1, mon_sales@2 as mon_sales1, tue_sales@3 as tue_sales1, wed_sales@4 as wed_sales1, thu_sales@5 as thu_sales1, fri_sales@6 as fri_sales1, sat_sales@7 as sat_sales1, CAST(d_week_seq@0 AS Int64) as CAST(y.d_week_seq1 AS Int64)]
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_week_seq@0, d_week_seq@0)], projection=[d_week_seq@1, sun_sales@2, mon_sales@3, tue_sales@4, wed_sales@5, thu_sales@6, fri_sales@7, sat_sales@8]
            │       CoalescePartitionsExec
            │         [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=6, input_tasks=4
            │       ProjectionExec: expr=[d_week_seq@0 as d_week_seq, sum(CASE WHEN date_dim.d_day_name = Utf8("Sunday") THEN wscs.sales_price ELSE NULL END)@1 as sun_sales, sum(CASE WHEN date_dim.d_day_name = Utf8("Monday") THEN wscs.sales_price ELSE NULL END)@2 as mon_sales, sum(CASE WHEN date_dim.d_day_name = Utf8("Tuesday") THEN wscs.sales_price ELSE NULL END)@3 as tue_sales, sum(CASE WHEN date_dim.d_day_name = Utf8("Wednesday") THEN wscs.sales_price ELSE NULL END)@4 as wed_sales, sum(CASE WHEN date_dim.d_day_name = Utf8("Thursday") THEN wscs.sales_price ELSE NULL END)@5 as thu_sales, sum(CASE WHEN date_dim.d_day_name = Utf8("Friday") THEN wscs.sales_price ELSE NULL END)@6 as fri_sales, sum(CASE WHEN date_dim.d_day_name = Utf8("Saturday") THEN wscs.sales_price ELSE NULL END)@7 as sat_sales]
            │         AggregateExec: mode=FinalPartitioned, gby=[d_week_seq@0 as d_week_seq], aggr=[sum(CASE WHEN date_dim.d_day_name = Sunday THEN wscs.sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Sunday") THEN wscs.sales_price ELSE NULL END), sum(CASE WHEN date_dim.d_day_name = Monday THEN wscs.sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Monday") THEN wscs.sales_price ELSE NULL END), sum(CASE WHEN date_dim.d_day_name = Tuesday THEN wscs.sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Tuesday") THEN wscs.sales_price ELSE NULL END), sum(CASE WHEN date_dim.d_day_name = Wednesday THEN wscs.sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Wednesday") THEN wscs.sales_price ELSE NULL END), sum(CASE WHEN date_dim.d_day_name = Thursday THEN wscs.sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Thursday") THEN wscs.sales_price ELSE NULL END), sum(CASE WHEN date_dim.d_day_name = Friday THEN wscs.sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Friday") THEN wscs.sales_price ELSE NULL END), sum(CASE WHEN date_dim.d_day_name = Saturday THEN wscs.sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Saturday") THEN wscs.sales_price ELSE NULL END)]
            │           [Stage 3] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            └──────────────────────────────────────────────────
              ┌───── Stage 1 ── Tasks: t0:[p0..p5] t1:[p6..p11] t2:[p12..p17] t3:[p18..p23]
              │ BroadcastExec: input_partitions=3, consumer_tasks=2, output_partitions=6
              │   FilterExec: d_year@1 = 2001, projection=[d_week_seq@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_week_seq, d_year], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_week_seq, d_year], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_week_seq, d_year], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_week_seq, d_year], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
              └──────────────────────────────────────────────────
              ┌───── Stage 3 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
              │ RepartitionExec: partitioning=Hash([d_week_seq@0], 6), input_partitions=3
              │   AggregateExec: mode=Partial, gby=[d_week_seq@1 as d_week_seq], aggr=[sum(CASE WHEN date_dim.d_day_name = Sunday THEN wscs.sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Sunday") THEN wscs.sales_price ELSE NULL END), sum(CASE WHEN date_dim.d_day_name = Monday THEN wscs.sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Monday") THEN wscs.sales_price ELSE NULL END), sum(CASE WHEN date_dim.d_day_name = Tuesday THEN wscs.sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Tuesday") THEN wscs.sales_price ELSE NULL END), sum(CASE WHEN date_dim.d_day_name = Wednesday THEN wscs.sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Wednesday") THEN wscs.sales_price ELSE NULL END), sum(CASE WHEN date_dim.d_day_name = Thursday THEN wscs.sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Thursday") THEN wscs.sales_price ELSE NULL END), sum(CASE WHEN date_dim.d_day_name = Friday THEN wscs.sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Friday") THEN wscs.sales_price ELSE NULL END), sum(CASE WHEN date_dim.d_day_name = Saturday THEN wscs.sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Saturday") THEN wscs.sales_price ELSE NULL END)]
              │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, sold_date_sk@0)], projection=[sales_price@4, d_week_seq@1, d_day_name@2]
              │       CoalescePartitionsExec
              │         [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
              │       DistributedUnionExec: t0:[c0(0/2)] t1:[c0(1/2)] t2:[c1(0/2)] t3:[c1(1/2)]
              │         DistributedLeafExec:
              │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk@0 as sold_date_sk, ws_ext_sales_price@23 as sales_price], file_type=parquet, predicate=DynamicFilter [ empty ]
              │           t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk@0 as sold_date_sk, ws_ext_sales_price@23 as sales_price], file_type=parquet, predicate=DynamicFilter [ empty ]
              │         DistributedLeafExec:
              │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk@0 as sold_date_sk, cs_ext_sales_price@23 as sales_price], file_type=parquet, predicate=DynamicFilter [ empty ]
              │           t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk@0 as sold_date_sk, cs_ext_sales_price@23 as sales_price], file_type=parquet, predicate=DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
                ┌───── Stage 2 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                │   DistributedLeafExec:
                │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_week_seq, d_day_name], file_type=parquet, predicate=DynamicFilter [ empty ]
                │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_week_seq, d_day_name], file_type=parquet, predicate=DynamicFilter [ empty ]
                │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_week_seq, d_day_name], file_type=parquet, predicate=DynamicFilter [ empty ]
                │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_week_seq, d_day_name], file_type=parquet, predicate=DynamicFilter [ empty ]
                └──────────────────────────────────────────────────
            ┌───── Stage 8 ── Tasks: t0:[p0..p5] t1:[p0..p5]
            │ RepartitionExec: partitioning=Hash([z.d_week_seq2 - Int64(53)@8], 6), input_partitions=3
            │   ProjectionExec: expr=[d_week_seq@0 as d_week_seq2, sun_sales@1 as sun_sales2, mon_sales@2 as mon_sales2, tue_sales@3 as tue_sales2, wed_sales@4 as wed_sales2, thu_sales@5 as thu_sales2, fri_sales@6 as fri_sales2, sat_sales@7 as sat_sales2, CAST(d_week_seq@0 AS Int64) - 53 as z.d_week_seq2 - Int64(53)]
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_week_seq@0, d_week_seq@0)], projection=[d_week_seq@1, sun_sales@2, mon_sales@3, tue_sales@4, wed_sales@5, thu_sales@6, fri_sales@7, sat_sales@8]
            │       CoalescePartitionsExec
            │         [Stage 5] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=6, input_tasks=4
            │       ProjectionExec: expr=[d_week_seq@0 as d_week_seq, sum(CASE WHEN date_dim.d_day_name = Utf8("Sunday") THEN wscs.sales_price ELSE NULL END)@1 as sun_sales, sum(CASE WHEN date_dim.d_day_name = Utf8("Monday") THEN wscs.sales_price ELSE NULL END)@2 as mon_sales, sum(CASE WHEN date_dim.d_day_name = Utf8("Tuesday") THEN wscs.sales_price ELSE NULL END)@3 as tue_sales, sum(CASE WHEN date_dim.d_day_name = Utf8("Wednesday") THEN wscs.sales_price ELSE NULL END)@4 as wed_sales, sum(CASE WHEN date_dim.d_day_name = Utf8("Thursday") THEN wscs.sales_price ELSE NULL END)@5 as thu_sales, sum(CASE WHEN date_dim.d_day_name = Utf8("Friday") THEN wscs.sales_price ELSE NULL END)@6 as fri_sales, sum(CASE WHEN date_dim.d_day_name = Utf8("Saturday") THEN wscs.sales_price ELSE NULL END)@7 as sat_sales]
            │         AggregateExec: mode=FinalPartitioned, gby=[d_week_seq@0 as d_week_seq], aggr=[sum(CASE WHEN date_dim.d_day_name = Sunday THEN wscs.sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Sunday") THEN wscs.sales_price ELSE NULL END), sum(CASE WHEN date_dim.d_day_name = Monday THEN wscs.sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Monday") THEN wscs.sales_price ELSE NULL END), sum(CASE WHEN date_dim.d_day_name = Tuesday THEN wscs.sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Tuesday") THEN wscs.sales_price ELSE NULL END), sum(CASE WHEN date_dim.d_day_name = Wednesday THEN wscs.sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Wednesday") THEN wscs.sales_price ELSE NULL END), sum(CASE WHEN date_dim.d_day_name = Thursday THEN wscs.sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Thursday") THEN wscs.sales_price ELSE NULL END), sum(CASE WHEN date_dim.d_day_name = Friday THEN wscs.sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Friday") THEN wscs.sales_price ELSE NULL END), sum(CASE WHEN date_dim.d_day_name = Saturday THEN wscs.sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Saturday") THEN wscs.sales_price ELSE NULL END)]
            │           [Stage 7] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            └──────────────────────────────────────────────────
              ┌───── Stage 5 ── Tasks: t0:[p0..p5] t1:[p6..p11] t2:[p12..p17] t3:[p18..p23]
              │ BroadcastExec: input_partitions=3, consumer_tasks=2, output_partitions=6
              │   FilterExec: d_year@1 = 2002, projection=[d_week_seq@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_week_seq, d_year], file_type=parquet, predicate=d_year@6 = 2002, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1, required_guarantees=[d_year in (2002)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_week_seq, d_year], file_type=parquet, predicate=d_year@6 = 2002, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1, required_guarantees=[d_year in (2002)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_week_seq, d_year], file_type=parquet, predicate=d_year@6 = 2002, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1, required_guarantees=[d_year in (2002)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_week_seq, d_year], file_type=parquet, predicate=d_year@6 = 2002, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1, required_guarantees=[d_year in (2002)]
              └──────────────────────────────────────────────────
              ┌───── Stage 7 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
              │ RepartitionExec: partitioning=Hash([d_week_seq@0], 6), input_partitions=3
              │   AggregateExec: mode=Partial, gby=[d_week_seq@1 as d_week_seq], aggr=[sum(CASE WHEN date_dim.d_day_name = Sunday THEN wscs.sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Sunday") THEN wscs.sales_price ELSE NULL END), sum(CASE WHEN date_dim.d_day_name = Monday THEN wscs.sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Monday") THEN wscs.sales_price ELSE NULL END), sum(CASE WHEN date_dim.d_day_name = Tuesday THEN wscs.sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Tuesday") THEN wscs.sales_price ELSE NULL END), sum(CASE WHEN date_dim.d_day_name = Wednesday THEN wscs.sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Wednesday") THEN wscs.sales_price ELSE NULL END), sum(CASE WHEN date_dim.d_day_name = Thursday THEN wscs.sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Thursday") THEN wscs.sales_price ELSE NULL END), sum(CASE WHEN date_dim.d_day_name = Friday THEN wscs.sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Friday") THEN wscs.sales_price ELSE NULL END), sum(CASE WHEN date_dim.d_day_name = Saturday THEN wscs.sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Saturday") THEN wscs.sales_price ELSE NULL END)]
              │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, sold_date_sk@0)], projection=[sales_price@4, d_week_seq@1, d_day_name@2]
              │       CoalescePartitionsExec
              │         [Stage 6] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
              │       DistributedUnionExec: t0:[c0(0/2)] t1:[c0(1/2)] t2:[c1(0/2)] t3:[c1(1/2)]
              │         DistributedLeafExec:
              │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk@0 as sold_date_sk, ws_ext_sales_price@23 as sales_price], file_type=parquet, predicate=DynamicFilter [ empty ]
              │           t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk@0 as sold_date_sk, ws_ext_sales_price@23 as sales_price], file_type=parquet, predicate=DynamicFilter [ empty ]
              │         DistributedLeafExec:
              │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk@0 as sold_date_sk, cs_ext_sales_price@23 as sales_price], file_type=parquet, predicate=DynamicFilter [ empty ]
              │           t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk@0 as sold_date_sk, cs_ext_sales_price@23 as sales_price], file_type=parquet, predicate=DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
                ┌───── Stage 6 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                │   DistributedLeafExec:
                │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_week_seq, d_day_name], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_week_seq, d_day_name], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_week_seq, d_day_name], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_week_seq, d_day_name], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                └──────────────────────────────────────────────────
        "#);
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_3() -> Result<()> {
        let display = test_tpcds_query("q3").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [d_year@0 ASC NULLS LAST, sum_agg@3 DESC, brand_id@1 ASC NULLS LAST], fetch=100
        │   [Stage 4] => NetworkCoalesceExec: output_partitions=6, input_tasks=2
        └──────────────────────────────────────────────────
          ┌───── Stage 4 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ SortExec: TopK(fetch=100), expr=[d_year@0 ASC NULLS LAST, sum_agg@3 DESC, brand_id@1 ASC NULLS LAST], preserve_partitioning=[true]
          │   ProjectionExec: expr=[d_year@0 as d_year, i_brand_id@2 as brand_id, i_brand@1 as brand, sum(store_sales.ss_ext_sales_price)@3 as sum_agg]
          │     AggregateExec: mode=FinalPartitioned, gby=[d_year@0 as d_year, i_brand@1 as i_brand, i_brand_id@2 as i_brand_id], aggr=[sum(store_sales.ss_ext_sales_price)]
          │       [Stage 3] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 3 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([d_year@0, i_brand@1, i_brand_id@2], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[d_year@0 as d_year, i_brand@3 as i_brand, i_brand_id@2 as i_brand_id], aggr=[sum(store_sales.ss_ext_sales_price)]
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, ss_item_sk@1)], projection=[d_year@3, ss_ext_sales_price@5, i_brand_id@1, i_brand@2]
            │       CoalescePartitionsExec
            │         [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[d_year@1, ss_item_sk@3, ss_ext_sales_price@4]
            │         CoalescePartitionsExec
            │           [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │         DistributedLeafExec:
            │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 1 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: i_manufact_id@3 = 128, projection=[i_item_sk@0, i_brand_id@1, i_brand@2]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_brand, i_manufact_id], file_type=parquet, predicate=i_manufact_id@13 = 128, pruning_predicate=i_manufact_id_null_count@2 != row_count@3 AND i_manufact_id_min@0 <= 128 AND 128 <= i_manufact_id_max@1, required_guarantees=[i_manufact_id in (128)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_brand, i_manufact_id], file_type=parquet, predicate=i_manufact_id@13 = 128, pruning_predicate=i_manufact_id_null_count@2 != row_count@3 AND i_manufact_id_min@0 <= 128 AND 128 <= i_manufact_id_max@1, required_guarantees=[i_manufact_id in (128)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_brand, i_manufact_id], file_type=parquet, predicate=i_manufact_id@13 = 128, pruning_predicate=i_manufact_id_null_count@2 != row_count@3 AND i_manufact_id_min@0 <= 128 AND 128 <= i_manufact_id_max@1, required_guarantees=[i_manufact_id in (128)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_brand, i_manufact_id], file_type=parquet, predicate=i_manufact_id@13 = 128, pruning_predicate=i_manufact_id_null_count@2 != row_count@3 AND i_manufact_id_min@0 <= 128 AND 128 <= i_manufact_id_max@1, required_guarantees=[i_manufact_id in (128)]
              └──────────────────────────────────────────────────
              ┌───── Stage 2 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_moy@2 = 11, projection=[d_date_sk@0, d_year@1]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_moy@8 = 11, pruning_predicate=d_moy_null_count@2 != row_count@3 AND d_moy_min@0 <= 11 AND 11 <= d_moy_max@1, required_guarantees=[d_moy in (11)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_moy@8 = 11, pruning_predicate=d_moy_null_count@2 != row_count@3 AND d_moy_min@0 <= 11 AND 11 <= d_moy_max@1, required_guarantees=[d_moy in (11)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_moy@8 = 11, pruning_predicate=d_moy_null_count@2 != row_count@3 AND d_moy_min@0 <= 11 AND 11 <= d_moy_max@1, required_guarantees=[d_moy in (11)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_moy@8 = 11, pruning_predicate=d_moy_null_count@2 != row_count@3 AND d_moy_min@0 <= 11 AND 11 <= d_moy_max@1, required_guarantees=[d_moy in (11)]
              └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_4() -> Result<()> {
        let display = test_tpcds_query("q4").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [customer_id@0 ASC, customer_first_name@1 ASC, customer_last_name@2 ASC, customer_preferred_cust_flag@3 ASC], fetch=100
        │   [Stage 24] => NetworkCoalesceExec: output_partitions=6, input_tasks=2
        └──────────────────────────────────────────────────
          ┌───── Stage 24 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ SortExec: TopK(fetch=100), expr=[customer_id@0 ASC, customer_first_name@1 ASC, customer_last_name@2 ASC, customer_preferred_cust_flag@3 ASC], preserve_partitioning=[true]
          │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(customer_id@0, customer_id@0)], filter=CASE WHEN year_total@0 > Some(0),24,6 THEN year_total@1 / year_total@0 END > CASE WHEN year_total@2 > Some(0),24,6 THEN year_total@3 / year_total@2 END, projection=[customer_id@1, customer_first_name@2, customer_last_name@3, customer_preferred_cust_flag@4]
          │     CoalescePartitionsExec
          │       [Stage 20] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=6, input_tasks=2
          │     ProjectionExec: expr=[c_customer_id@0 as customer_id, sum(web_sales.ws_ext_list_price - web_sales.ws_ext_wholesale_cost - web_sales.ws_ext_discount_amt + web_sales.ws_ext_sales_price / Int64(2))@8 as year_total]
          │       AggregateExec: mode=FinalPartitioned, gby=[c_customer_id@0 as c_customer_id, c_first_name@1 as c_first_name, c_last_name@2 as c_last_name, c_preferred_cust_flag@3 as c_preferred_cust_flag, c_birth_country@4 as c_birth_country, c_login@5 as c_login, c_email_address@6 as c_email_address, d_year@7 as d_year], aggr=[sum(web_sales.ws_ext_list_price - web_sales.ws_ext_wholesale_cost - web_sales.ws_ext_discount_amt + web_sales.ws_ext_sales_price / Some(2),20,0) as sum(web_sales.ws_ext_list_price - web_sales.ws_ext_wholesale_cost - web_sales.ws_ext_discount_amt + web_sales.ws_ext_sales_price / Int64(2))], ordering_mode=PartiallySorted([7])
          │         [Stage 23] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 20 ── Tasks: t0:[p0..p5] t1:[p6..p11]
            │ BroadcastExec: input_partitions=3, consumer_tasks=2, output_partitions=6
            │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(customer_id@0, customer_id@0)], projection=[customer_id@2, customer_id@3, customer_first_name@4, customer_last_name@5, customer_preferred_cust_flag@6, year_total@7, year_total@8, year_total@1]
            │     CoalescePartitionsExec
            │       [Stage 4] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=6, input_tasks=2
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(customer_id@0, customer_id@0)], filter=CASE WHEN year_total@2 > Some(0),24,6 THEN year_total@3 / year_total@2 END > CASE WHEN year_total@0 > Some(0),24,6 THEN year_total@1 / year_total@0 END, projection=[customer_id@0, customer_id@2, customer_first_name@3, customer_last_name@4, customer_preferred_cust_flag@5, year_total@7, year_total@9]
            │       CoalescePartitionsExec
            │         [Stage 16] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=6, input_tasks=2
            │       ProjectionExec: expr=[c_customer_id@0 as customer_id, sum(catalog_sales.cs_ext_list_price - catalog_sales.cs_ext_wholesale_cost - catalog_sales.cs_ext_discount_amt + catalog_sales.cs_ext_sales_price / Int64(2))@8 as year_total]
            │         AggregateExec: mode=FinalPartitioned, gby=[c_customer_id@0 as c_customer_id, c_first_name@1 as c_first_name, c_last_name@2 as c_last_name, c_preferred_cust_flag@3 as c_preferred_cust_flag, c_birth_country@4 as c_birth_country, c_login@5 as c_login, c_email_address@6 as c_email_address, d_year@7 as d_year], aggr=[sum(catalog_sales.cs_ext_list_price - catalog_sales.cs_ext_wholesale_cost - catalog_sales.cs_ext_discount_amt + catalog_sales.cs_ext_sales_price / Some(2),20,0) as sum(catalog_sales.cs_ext_list_price - catalog_sales.cs_ext_wholesale_cost - catalog_sales.cs_ext_discount_amt + catalog_sales.cs_ext_sales_price / Int64(2))], ordering_mode=PartiallySorted([7])
            │           [Stage 19] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            └──────────────────────────────────────────────────
              ┌───── Stage 4 ── Tasks: t0:[p0..p5] t1:[p6..p11]
              │ BroadcastExec: input_partitions=3, consumer_tasks=2, output_partitions=6
              │   ProjectionExec: expr=[c_customer_id@0 as customer_id, sum(web_sales.ws_ext_list_price - web_sales.ws_ext_wholesale_cost - web_sales.ws_ext_discount_amt + web_sales.ws_ext_sales_price / Int64(2))@1 as year_total]
              │     FilterExec: sum(web_sales.ws_ext_list_price - web_sales.ws_ext_wholesale_cost - web_sales.ws_ext_discount_amt + web_sales.ws_ext_sales_price / Int64(2))@1 > Some(0),24,6
              │       ProjectionExec: expr=[c_customer_id@0 as c_customer_id, sum(web_sales.ws_ext_list_price - web_sales.ws_ext_wholesale_cost - web_sales.ws_ext_discount_amt + web_sales.ws_ext_sales_price / Int64(2))@8 as sum(web_sales.ws_ext_list_price - web_sales.ws_ext_wholesale_cost - web_sales.ws_ext_discount_amt + web_sales.ws_ext_sales_price / Int64(2))]
              │         AggregateExec: mode=FinalPartitioned, gby=[c_customer_id@0 as c_customer_id, c_first_name@1 as c_first_name, c_last_name@2 as c_last_name, c_preferred_cust_flag@3 as c_preferred_cust_flag, c_birth_country@4 as c_birth_country, c_login@5 as c_login, c_email_address@6 as c_email_address, d_year@7 as d_year], aggr=[sum(web_sales.ws_ext_list_price - web_sales.ws_ext_wholesale_cost - web_sales.ws_ext_discount_amt + web_sales.ws_ext_sales_price / Some(2),20,0) as sum(web_sales.ws_ext_list_price - web_sales.ws_ext_wholesale_cost - web_sales.ws_ext_discount_amt + web_sales.ws_ext_sales_price / Int64(2))], ordering_mode=PartiallySorted([7])
              │           [Stage 3] => NetworkShuffleExec: output_partitions=3, input_tasks=4
              └──────────────────────────────────────────────────
                ┌───── Stage 3 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
                │ RepartitionExec: partitioning=Hash([c_customer_id@0, c_first_name@1, c_last_name@2, c_preferred_cust_flag@3, c_birth_country@4, c_login@5, c_email_address@6, d_year@7], 6), input_partitions=3
                │   AggregateExec: mode=Partial, gby=[c_customer_id@0 as c_customer_id, c_first_name@1 as c_first_name, c_last_name@2 as c_last_name, c_preferred_cust_flag@3 as c_preferred_cust_flag, c_birth_country@4 as c_birth_country, c_login@5 as c_login, c_email_address@6 as c_email_address, d_year@11 as d_year], aggr=[sum(web_sales.ws_ext_list_price - web_sales.ws_ext_wholesale_cost - web_sales.ws_ext_discount_amt + web_sales.ws_ext_sales_price / Some(2),20,0) as sum(web_sales.ws_ext_list_price - web_sales.ws_ext_wholesale_cost - web_sales.ws_ext_discount_amt + web_sales.ws_ext_sales_price / Int64(2))], ordering_mode=PartiallySorted([7])
                │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ws_sold_date_sk@7)], projection=[c_customer_id@2, c_first_name@3, c_last_name@4, c_preferred_cust_flag@5, c_birth_country@6, c_login@7, c_email_address@8, ws_ext_discount_amt@10, ws_ext_sales_price@11, ws_ext_wholesale_cost@12, ws_ext_list_price@13, d_year@1]
                │       CoalescePartitionsExec
                │         [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
                │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(c_customer_sk@0, ws_bill_customer_sk@1)], projection=[c_customer_id@1, c_first_name@2, c_last_name@3, c_preferred_cust_flag@4, c_birth_country@5, c_login@6, c_email_address@7, ws_sold_date_sk@8, ws_ext_discount_amt@10, ws_ext_sales_price@11, ws_ext_wholesale_cost@12, ws_ext_list_price@13]
                │         CoalescePartitionsExec
                │           [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
                │         DistributedLeafExec:
                │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_bill_customer_sk, ws_ext_discount_amt, ws_ext_sales_price, ws_ext_wholesale_cost, ws_ext_list_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │           t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_bill_customer_sk, ws_ext_discount_amt, ws_ext_sales_price, ws_ext_wholesale_cost, ws_ext_list_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │           t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_bill_customer_sk, ws_ext_discount_amt, ws_ext_sales_price, ws_ext_wholesale_cost, ws_ext_list_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │           t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_bill_customer_sk, ws_ext_discount_amt, ws_ext_sales_price, ws_ext_wholesale_cost, ws_ext_list_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                └──────────────────────────────────────────────────
                  ┌───── Stage 1 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                  │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                  │   FilterExec: d_year@1 = 2001
                  │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                  │       DistributedLeafExec:
                  │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
                  │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
                  │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
                  │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
                  └──────────────────────────────────────────────────
                  ┌───── Stage 2 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                  │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                  │   DistributedLeafExec:
                  │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address], file_type=parquet
                  │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address], file_type=parquet
                  │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address], file_type=parquet
                  │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address], file_type=parquet
                  └──────────────────────────────────────────────────
              ┌───── Stage 16 ── Tasks: t0:[p0..p5] t1:[p6..p11]
              │ BroadcastExec: input_partitions=3, consumer_tasks=2, output_partitions=6
              │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(customer_id@0, customer_id@0)], projection=[customer_id@2, year_total@3, customer_id@4, customer_first_name@5, customer_last_name@6, customer_preferred_cust_flag@7, year_total@8, year_total@1]
              │     CoalescePartitionsExec
              │       [Stage 8] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=6, input_tasks=2
              │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(customer_id@0, customer_id@0)]
              │       CoalescePartitionsExec
              │         [Stage 12] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=6, input_tasks=2
              │       ProjectionExec: expr=[c_customer_id@0 as customer_id, c_first_name@1 as customer_first_name, c_last_name@2 as customer_last_name, c_preferred_cust_flag@3 as customer_preferred_cust_flag, sum(store_sales.ss_ext_list_price - store_sales.ss_ext_wholesale_cost - store_sales.ss_ext_discount_amt + store_sales.ss_ext_sales_price / Int64(2))@8 as year_total]
              │         AggregateExec: mode=FinalPartitioned, gby=[c_customer_id@0 as c_customer_id, c_first_name@1 as c_first_name, c_last_name@2 as c_last_name, c_preferred_cust_flag@3 as c_preferred_cust_flag, c_birth_country@4 as c_birth_country, c_login@5 as c_login, c_email_address@6 as c_email_address, d_year@7 as d_year], aggr=[sum(store_sales.ss_ext_list_price - store_sales.ss_ext_wholesale_cost - store_sales.ss_ext_discount_amt + store_sales.ss_ext_sales_price / Some(2),20,0) as sum(store_sales.ss_ext_list_price - store_sales.ss_ext_wholesale_cost - store_sales.ss_ext_discount_amt + store_sales.ss_ext_sales_price / Int64(2))], ordering_mode=PartiallySorted([7])
              │           [Stage 15] => NetworkShuffleExec: output_partitions=3, input_tasks=4
              └──────────────────────────────────────────────────
                ┌───── Stage 8 ── Tasks: t0:[p0..p5] t1:[p6..p11]
                │ BroadcastExec: input_partitions=3, consumer_tasks=2, output_partitions=6
                │   ProjectionExec: expr=[c_customer_id@0 as customer_id, sum(catalog_sales.cs_ext_list_price - catalog_sales.cs_ext_wholesale_cost - catalog_sales.cs_ext_discount_amt + catalog_sales.cs_ext_sales_price / Int64(2))@1 as year_total]
                │     FilterExec: sum(catalog_sales.cs_ext_list_price - catalog_sales.cs_ext_wholesale_cost - catalog_sales.cs_ext_discount_amt + catalog_sales.cs_ext_sales_price / Int64(2))@1 > Some(0),24,6
                │       ProjectionExec: expr=[c_customer_id@0 as c_customer_id, sum(catalog_sales.cs_ext_list_price - catalog_sales.cs_ext_wholesale_cost - catalog_sales.cs_ext_discount_amt + catalog_sales.cs_ext_sales_price / Int64(2))@8 as sum(catalog_sales.cs_ext_list_price - catalog_sales.cs_ext_wholesale_cost - catalog_sales.cs_ext_discount_amt + catalog_sales.cs_ext_sales_price / Int64(2))]
                │         AggregateExec: mode=FinalPartitioned, gby=[c_customer_id@0 as c_customer_id, c_first_name@1 as c_first_name, c_last_name@2 as c_last_name, c_preferred_cust_flag@3 as c_preferred_cust_flag, c_birth_country@4 as c_birth_country, c_login@5 as c_login, c_email_address@6 as c_email_address, d_year@7 as d_year], aggr=[sum(catalog_sales.cs_ext_list_price - catalog_sales.cs_ext_wholesale_cost - catalog_sales.cs_ext_discount_amt + catalog_sales.cs_ext_sales_price / Some(2),20,0) as sum(catalog_sales.cs_ext_list_price - catalog_sales.cs_ext_wholesale_cost - catalog_sales.cs_ext_discount_amt + catalog_sales.cs_ext_sales_price / Int64(2))], ordering_mode=PartiallySorted([7])
                │           [Stage 7] => NetworkShuffleExec: output_partitions=3, input_tasks=4
                └──────────────────────────────────────────────────
                  ┌───── Stage 7 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
                  │ RepartitionExec: partitioning=Hash([c_customer_id@0, c_first_name@1, c_last_name@2, c_preferred_cust_flag@3, c_birth_country@4, c_login@5, c_email_address@6, d_year@7], 6), input_partitions=3
                  │   AggregateExec: mode=Partial, gby=[c_customer_id@0 as c_customer_id, c_first_name@1 as c_first_name, c_last_name@2 as c_last_name, c_preferred_cust_flag@3 as c_preferred_cust_flag, c_birth_country@4 as c_birth_country, c_login@5 as c_login, c_email_address@6 as c_email_address, d_year@11 as d_year], aggr=[sum(catalog_sales.cs_ext_list_price - catalog_sales.cs_ext_wholesale_cost - catalog_sales.cs_ext_discount_amt + catalog_sales.cs_ext_sales_price / Some(2),20,0) as sum(catalog_sales.cs_ext_list_price - catalog_sales.cs_ext_wholesale_cost - catalog_sales.cs_ext_discount_amt + catalog_sales.cs_ext_sales_price / Int64(2))], ordering_mode=PartiallySorted([7])
                  │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, cs_sold_date_sk@7)], projection=[c_customer_id@2, c_first_name@3, c_last_name@4, c_preferred_cust_flag@5, c_birth_country@6, c_login@7, c_email_address@8, cs_ext_discount_amt@10, cs_ext_sales_price@11, cs_ext_wholesale_cost@12, cs_ext_list_price@13, d_year@1]
                  │       CoalescePartitionsExec
                  │         [Stage 5] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
                  │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(c_customer_sk@0, cs_bill_customer_sk@1)], projection=[c_customer_id@1, c_first_name@2, c_last_name@3, c_preferred_cust_flag@4, c_birth_country@5, c_login@6, c_email_address@7, cs_sold_date_sk@8, cs_ext_discount_amt@10, cs_ext_sales_price@11, cs_ext_wholesale_cost@12, cs_ext_list_price@13]
                  │         CoalescePartitionsExec
                  │           [Stage 6] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
                  │         DistributedLeafExec:
                  │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_bill_customer_sk, cs_ext_discount_amt, cs_ext_sales_price, cs_ext_wholesale_cost, cs_ext_list_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                  │           t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_bill_customer_sk, cs_ext_discount_amt, cs_ext_sales_price, cs_ext_wholesale_cost, cs_ext_list_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                  │           t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_bill_customer_sk, cs_ext_discount_amt, cs_ext_sales_price, cs_ext_wholesale_cost, cs_ext_list_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                  │           t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_bill_customer_sk, cs_ext_discount_amt, cs_ext_sales_price, cs_ext_wholesale_cost, cs_ext_list_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                  └──────────────────────────────────────────────────
                    ┌───── Stage 5 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                    │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                    │   FilterExec: d_year@1 = 2001
                    │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                    │       DistributedLeafExec:
                    │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
                    │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
                    │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
                    │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
                    └──────────────────────────────────────────────────
                    ┌───── Stage 6 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                    │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                    │   DistributedLeafExec:
                    │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address], file_type=parquet
                    │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address], file_type=parquet
                    │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address], file_type=parquet
                    │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address], file_type=parquet
                    └──────────────────────────────────────────────────
                ┌───── Stage 12 ── Tasks: t0:[p0..p5] t1:[p6..p11]
                │ BroadcastExec: input_partitions=3, consumer_tasks=2, output_partitions=6
                │   ProjectionExec: expr=[c_customer_id@0 as customer_id, sum(store_sales.ss_ext_list_price - store_sales.ss_ext_wholesale_cost - store_sales.ss_ext_discount_amt + store_sales.ss_ext_sales_price / Int64(2))@1 as year_total]
                │     FilterExec: sum(store_sales.ss_ext_list_price - store_sales.ss_ext_wholesale_cost - store_sales.ss_ext_discount_amt + store_sales.ss_ext_sales_price / Int64(2))@1 > Some(0),24,6
                │       ProjectionExec: expr=[c_customer_id@0 as c_customer_id, sum(store_sales.ss_ext_list_price - store_sales.ss_ext_wholesale_cost - store_sales.ss_ext_discount_amt + store_sales.ss_ext_sales_price / Int64(2))@8 as sum(store_sales.ss_ext_list_price - store_sales.ss_ext_wholesale_cost - store_sales.ss_ext_discount_amt + store_sales.ss_ext_sales_price / Int64(2))]
                │         AggregateExec: mode=FinalPartitioned, gby=[c_customer_id@0 as c_customer_id, c_first_name@1 as c_first_name, c_last_name@2 as c_last_name, c_preferred_cust_flag@3 as c_preferred_cust_flag, c_birth_country@4 as c_birth_country, c_login@5 as c_login, c_email_address@6 as c_email_address, d_year@7 as d_year], aggr=[sum(store_sales.ss_ext_list_price - store_sales.ss_ext_wholesale_cost - store_sales.ss_ext_discount_amt + store_sales.ss_ext_sales_price / Some(2),20,0) as sum(store_sales.ss_ext_list_price - store_sales.ss_ext_wholesale_cost - store_sales.ss_ext_discount_amt + store_sales.ss_ext_sales_price / Int64(2))], ordering_mode=PartiallySorted([7])
                │           [Stage 11] => NetworkShuffleExec: output_partitions=3, input_tasks=4
                └──────────────────────────────────────────────────
                  ┌───── Stage 11 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
                  │ RepartitionExec: partitioning=Hash([c_customer_id@0, c_first_name@1, c_last_name@2, c_preferred_cust_flag@3, c_birth_country@4, c_login@5, c_email_address@6, d_year@7], 6), input_partitions=3
                  │   AggregateExec: mode=Partial, gby=[c_customer_id@0 as c_customer_id, c_first_name@1 as c_first_name, c_last_name@2 as c_last_name, c_preferred_cust_flag@3 as c_preferred_cust_flag, c_birth_country@4 as c_birth_country, c_login@5 as c_login, c_email_address@6 as c_email_address, d_year@11 as d_year], aggr=[sum(store_sales.ss_ext_list_price - store_sales.ss_ext_wholesale_cost - store_sales.ss_ext_discount_amt + store_sales.ss_ext_sales_price / Some(2),20,0) as sum(store_sales.ss_ext_list_price - store_sales.ss_ext_wholesale_cost - store_sales.ss_ext_discount_amt + store_sales.ss_ext_sales_price / Int64(2))], ordering_mode=PartiallySorted([7])
                  │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@7)], projection=[c_customer_id@2, c_first_name@3, c_last_name@4, c_preferred_cust_flag@5, c_birth_country@6, c_login@7, c_email_address@8, ss_ext_discount_amt@10, ss_ext_sales_price@11, ss_ext_wholesale_cost@12, ss_ext_list_price@13, d_year@1]
                  │       CoalescePartitionsExec
                  │         [Stage 9] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
                  │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(c_customer_sk@0, ss_customer_sk@1)], projection=[c_customer_id@1, c_first_name@2, c_last_name@3, c_preferred_cust_flag@4, c_birth_country@5, c_login@6, c_email_address@7, ss_sold_date_sk@8, ss_ext_discount_amt@10, ss_ext_sales_price@11, ss_ext_wholesale_cost@12, ss_ext_list_price@13]
                  │         CoalescePartitionsExec
                  │           [Stage 10] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
                  │         DistributedLeafExec:
                  │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_customer_sk, ss_ext_discount_amt, ss_ext_sales_price, ss_ext_wholesale_cost, ss_ext_list_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                  │           t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_customer_sk, ss_ext_discount_amt, ss_ext_sales_price, ss_ext_wholesale_cost, ss_ext_list_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                  │           t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_customer_sk, ss_ext_discount_amt, ss_ext_sales_price, ss_ext_wholesale_cost, ss_ext_list_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                  │           t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_customer_sk, ss_ext_discount_amt, ss_ext_sales_price, ss_ext_wholesale_cost, ss_ext_list_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                  └──────────────────────────────────────────────────
                    ┌───── Stage 9 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                    │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                    │   FilterExec: d_year@1 = 2001
                    │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                    │       DistributedLeafExec:
                    │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
                    │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
                    │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
                    │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
                    └──────────────────────────────────────────────────
                    ┌───── Stage 10 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                    │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                    │   DistributedLeafExec:
                    │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                    │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                    │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                    │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                    └──────────────────────────────────────────────────
                ┌───── Stage 15 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
                │ RepartitionExec: partitioning=Hash([c_customer_id@0, c_first_name@1, c_last_name@2, c_preferred_cust_flag@3, c_birth_country@4, c_login@5, c_email_address@6, d_year@7], 6), input_partitions=3
                │   AggregateExec: mode=Partial, gby=[c_customer_id@0 as c_customer_id, c_first_name@1 as c_first_name, c_last_name@2 as c_last_name, c_preferred_cust_flag@3 as c_preferred_cust_flag, c_birth_country@4 as c_birth_country, c_login@5 as c_login, c_email_address@6 as c_email_address, d_year@11 as d_year], aggr=[sum(store_sales.ss_ext_list_price - store_sales.ss_ext_wholesale_cost - store_sales.ss_ext_discount_amt + store_sales.ss_ext_sales_price / Some(2),20,0) as sum(store_sales.ss_ext_list_price - store_sales.ss_ext_wholesale_cost - store_sales.ss_ext_discount_amt + store_sales.ss_ext_sales_price / Int64(2))], ordering_mode=PartiallySorted([7])
                │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@7)], projection=[c_customer_id@2, c_first_name@3, c_last_name@4, c_preferred_cust_flag@5, c_birth_country@6, c_login@7, c_email_address@8, ss_ext_discount_amt@10, ss_ext_sales_price@11, ss_ext_wholesale_cost@12, ss_ext_list_price@13, d_year@1]
                │       CoalescePartitionsExec
                │         [Stage 13] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
                │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(c_customer_sk@0, ss_customer_sk@1)], projection=[c_customer_id@1, c_first_name@2, c_last_name@3, c_preferred_cust_flag@4, c_birth_country@5, c_login@6, c_email_address@7, ss_sold_date_sk@8, ss_ext_discount_amt@10, ss_ext_sales_price@11, ss_ext_wholesale_cost@12, ss_ext_list_price@13]
                │         CoalescePartitionsExec
                │           [Stage 14] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
                │         DistributedLeafExec:
                │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_customer_sk, ss_ext_discount_amt, ss_ext_sales_price, ss_ext_wholesale_cost, ss_ext_list_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │           t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_customer_sk, ss_ext_discount_amt, ss_ext_sales_price, ss_ext_wholesale_cost, ss_ext_list_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │           t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_customer_sk, ss_ext_discount_amt, ss_ext_sales_price, ss_ext_wholesale_cost, ss_ext_list_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │           t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_customer_sk, ss_ext_discount_amt, ss_ext_sales_price, ss_ext_wholesale_cost, ss_ext_list_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                └──────────────────────────────────────────────────
                  ┌───── Stage 13 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                  │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                  │   FilterExec: d_year@1 = 2002
                  │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                  │       DistributedLeafExec:
                  │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2002, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1, required_guarantees=[d_year in (2002)]
                  │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2002, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1, required_guarantees=[d_year in (2002)]
                  │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2002, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1, required_guarantees=[d_year in (2002)]
                  │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2002, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1, required_guarantees=[d_year in (2002)]
                  └──────────────────────────────────────────────────
                  ┌───── Stage 14 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                  │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                  │   DistributedLeafExec:
                  │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address], file_type=parquet, predicate=DynamicFilter [ empty ]
                  │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address], file_type=parquet, predicate=DynamicFilter [ empty ]
                  │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address], file_type=parquet, predicate=DynamicFilter [ empty ]
                  │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address], file_type=parquet, predicate=DynamicFilter [ empty ]
                  └──────────────────────────────────────────────────
              ┌───── Stage 19 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
              │ RepartitionExec: partitioning=Hash([c_customer_id@0, c_first_name@1, c_last_name@2, c_preferred_cust_flag@3, c_birth_country@4, c_login@5, c_email_address@6, d_year@7], 6), input_partitions=3
              │   AggregateExec: mode=Partial, gby=[c_customer_id@0 as c_customer_id, c_first_name@1 as c_first_name, c_last_name@2 as c_last_name, c_preferred_cust_flag@3 as c_preferred_cust_flag, c_birth_country@4 as c_birth_country, c_login@5 as c_login, c_email_address@6 as c_email_address, d_year@11 as d_year], aggr=[sum(catalog_sales.cs_ext_list_price - catalog_sales.cs_ext_wholesale_cost - catalog_sales.cs_ext_discount_amt + catalog_sales.cs_ext_sales_price / Some(2),20,0) as sum(catalog_sales.cs_ext_list_price - catalog_sales.cs_ext_wholesale_cost - catalog_sales.cs_ext_discount_amt + catalog_sales.cs_ext_sales_price / Int64(2))], ordering_mode=PartiallySorted([7])
              │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, cs_sold_date_sk@7)], projection=[c_customer_id@2, c_first_name@3, c_last_name@4, c_preferred_cust_flag@5, c_birth_country@6, c_login@7, c_email_address@8, cs_ext_discount_amt@10, cs_ext_sales_price@11, cs_ext_wholesale_cost@12, cs_ext_list_price@13, d_year@1]
              │       CoalescePartitionsExec
              │         [Stage 17] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
              │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(c_customer_sk@0, cs_bill_customer_sk@1)], projection=[c_customer_id@1, c_first_name@2, c_last_name@3, c_preferred_cust_flag@4, c_birth_country@5, c_login@6, c_email_address@7, cs_sold_date_sk@8, cs_ext_discount_amt@10, cs_ext_sales_price@11, cs_ext_wholesale_cost@12, cs_ext_list_price@13]
              │         CoalescePartitionsExec
              │           [Stage 18] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
              │         DistributedLeafExec:
              │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_bill_customer_sk, cs_ext_discount_amt, cs_ext_sales_price, cs_ext_wholesale_cost, cs_ext_list_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │           t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_bill_customer_sk, cs_ext_discount_amt, cs_ext_sales_price, cs_ext_wholesale_cost, cs_ext_list_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │           t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_bill_customer_sk, cs_ext_discount_amt, cs_ext_sales_price, cs_ext_wholesale_cost, cs_ext_list_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │           t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_bill_customer_sk, cs_ext_discount_amt, cs_ext_sales_price, cs_ext_wholesale_cost, cs_ext_list_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
                ┌───── Stage 17 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                │   FilterExec: d_year@1 = 2002
                │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2002, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1, required_guarantees=[d_year in (2002)]
                │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2002, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1, required_guarantees=[d_year in (2002)]
                │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2002, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1, required_guarantees=[d_year in (2002)]
                │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2002, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1, required_guarantees=[d_year in (2002)]
                └──────────────────────────────────────────────────
                ┌───── Stage 18 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                │   DistributedLeafExec:
                │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address], file_type=parquet, predicate=DynamicFilter [ empty ]
                │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address], file_type=parquet, predicate=DynamicFilter [ empty ]
                │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address], file_type=parquet, predicate=DynamicFilter [ empty ]
                │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address], file_type=parquet, predicate=DynamicFilter [ empty ]
                └──────────────────────────────────────────────────
            ┌───── Stage 23 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([c_customer_id@0, c_first_name@1, c_last_name@2, c_preferred_cust_flag@3, c_birth_country@4, c_login@5, c_email_address@6, d_year@7], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[c_customer_id@0 as c_customer_id, c_first_name@1 as c_first_name, c_last_name@2 as c_last_name, c_preferred_cust_flag@3 as c_preferred_cust_flag, c_birth_country@4 as c_birth_country, c_login@5 as c_login, c_email_address@6 as c_email_address, d_year@11 as d_year], aggr=[sum(web_sales.ws_ext_list_price - web_sales.ws_ext_wholesale_cost - web_sales.ws_ext_discount_amt + web_sales.ws_ext_sales_price / Some(2),20,0) as sum(web_sales.ws_ext_list_price - web_sales.ws_ext_wholesale_cost - web_sales.ws_ext_discount_amt + web_sales.ws_ext_sales_price / Int64(2))], ordering_mode=PartiallySorted([7])
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ws_sold_date_sk@7)], projection=[c_customer_id@2, c_first_name@3, c_last_name@4, c_preferred_cust_flag@5, c_birth_country@6, c_login@7, c_email_address@8, ws_ext_discount_amt@10, ws_ext_sales_price@11, ws_ext_wholesale_cost@12, ws_ext_list_price@13, d_year@1]
            │       CoalescePartitionsExec
            │         [Stage 21] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(c_customer_sk@0, ws_bill_customer_sk@1)], projection=[c_customer_id@1, c_first_name@2, c_last_name@3, c_preferred_cust_flag@4, c_birth_country@5, c_login@6, c_email_address@7, ws_sold_date_sk@8, ws_ext_discount_amt@10, ws_ext_sales_price@11, ws_ext_wholesale_cost@12, ws_ext_list_price@13]
            │         CoalescePartitionsExec
            │           [Stage 22] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │         DistributedLeafExec:
            │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_bill_customer_sk, ws_ext_discount_amt, ws_ext_sales_price, ws_ext_wholesale_cost, ws_ext_list_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_bill_customer_sk, ws_ext_discount_amt, ws_ext_sales_price, ws_ext_wholesale_cost, ws_ext_list_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_bill_customer_sk, ws_ext_discount_amt, ws_ext_sales_price, ws_ext_wholesale_cost, ws_ext_list_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_bill_customer_sk, ws_ext_discount_amt, ws_ext_sales_price, ws_ext_wholesale_cost, ws_ext_list_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 21 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_year@1 = 2002
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2002, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1, required_guarantees=[d_year in (2002)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2002, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1, required_guarantees=[d_year in (2002)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2002, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1, required_guarantees=[d_year in (2002)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2002, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1, required_guarantees=[d_year in (2002)]
              └──────────────────────────────────────────────────
              ┌───── Stage 22 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address], file_type=parquet, predicate=DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_5() -> Result<()> {
        let display = test_tpcds_query("q5").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [channel@0 ASC, id@1 ASC], fetch=100
        │   SortExec: TopK(fetch=100), expr=[channel@0 ASC, id@1 ASC], preserve_partitioning=[true]
        │     ProjectionExec: expr=[channel@0 as channel, id@1 as id, sum(x.sales)@3 as sales, sum(x.returns_)@4 as returns_, sum(x.profit)@5 as profit]
        │       AggregateExec: mode=FinalPartitioned, gby=[channel@0 as channel, id@1 as id, __grouping_id@2 as __grouping_id], aggr=[sum(x.sales), sum(x.returns_), sum(x.profit)]
        │         [Stage 12] => NetworkShuffleExec: output_partitions=3, input_tasks=4
        └──────────────────────────────────────────────────
          ┌───── Stage 12 ── Tasks: t0:[p0..p2] t1:[p0..p2] t2:[p0..p2] t3:[p0..p2]
          │ RepartitionExec: partitioning=Hash([channel@0, id@1, __grouping_id@2], 3), input_partitions=3
          │   AggregateExec: mode=Partial, gby=[(NULL as channel, NULL as id), (channel@0 as channel, NULL as id), (channel@0 as channel, id@1 as id)], aggr=[sum(x.sales), sum(x.returns_), sum(x.profit)]
          │     DistributedUnionExec: t0:[c0(0/2)] t1:[c0(1/2)] t2:[c1] t3:[c2]
          │       ProjectionExec: expr=[store channel as channel, concat(store, s_store_id@0) as id, sum(salesreturns.sales_price)@1 as sales, sum(salesreturns.return_amt)@3 as returns_, sum(salesreturns.profit)@2 - sum(salesreturns.net_loss)@4 as profit]
          │         AggregateExec: mode=FinalPartitioned, gby=[s_store_id@0 as s_store_id], aggr=[sum(salesreturns.sales_price), sum(salesreturns.profit), sum(salesreturns.return_amt), sum(salesreturns.net_loss)]
          │           [Stage 3] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          │       ProjectionExec: expr=[catalog channel as channel, concat(catalog_page, cp_catalog_page_id@0) as id, sum(salesreturns.sales_price)@1 as sales, sum(salesreturns.return_amt)@3 as returns_, sum(salesreturns.profit)@2 - sum(salesreturns.net_loss)@4 as profit]
          │         AggregateExec: mode=FinalPartitioned, gby=[cp_catalog_page_id@0 as cp_catalog_page_id], aggr=[sum(salesreturns.sales_price), sum(salesreturns.profit), sum(salesreturns.return_amt), sum(salesreturns.net_loss)]
          │           [Stage 6] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          │       ProjectionExec: expr=[web channel as channel, concat(web_site, web_site_id@0) as id, sum(salesreturns.sales_price)@1 as sales, sum(salesreturns.return_amt)@3 as returns_, sum(salesreturns.profit)@2 - sum(salesreturns.net_loss)@4 as profit]
          │         AggregateExec: mode=FinalPartitioned, gby=[web_site_id@0 as web_site_id], aggr=[sum(salesreturns.sales_price), sum(salesreturns.profit), sum(salesreturns.return_amt), sum(salesreturns.net_loss)]
          │           [Stage 11] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 3 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([s_store_id@0], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[s_store_id@4 as s_store_id], aggr=[sum(salesreturns.sales_price), sum(salesreturns.profit), sum(salesreturns.return_amt), sum(salesreturns.net_loss)]
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(s_store_sk@0, store_sk@0)], projection=[sales_price@3, profit@4, return_amt@5, net_loss@6, s_store_id@1]
            │       CoalescePartitionsExec
            │         [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, date_sk@1)], projection=[store_sk@1, sales_price@3, profit@4, return_amt@5, net_loss@6]
            │         CoalescePartitionsExec
            │           [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │         DistributedUnionExec: t0:[c0(0/2)] t1:[c0(1/2)] t2:[c1(0/2)] t3:[c1(1/2)]
            │           DistributedLeafExec:
            │             t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_store_sk@7 as store_sk, ss_sold_date_sk@0 as date_sk, ss_ext_sales_price@15 as sales_price, ss_net_profit@22 as profit, Some(0),7,2 as return_amt, Some(0),7,2 as net_loss], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_store_sk@7 as store_sk, ss_sold_date_sk@0 as date_sk, ss_ext_sales_price@15 as sales_price, ss_net_profit@22 as profit, Some(0),7,2 as return_amt, Some(0),7,2 as net_loss], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           DistributedLeafExec:
            │             t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-3.parquet:<int>..<int>]]}, projection=[sr_store_sk@7 as store_sk, sr_returned_date_sk@0 as date_sk, Some(0),7,2 as sales_price, Some(0),7,2 as profit, sr_return_amt@11 as return_amt, sr_net_loss@19 as net_loss], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-3.parquet:<int>..<int>]]}, projection=[sr_store_sk@7 as store_sk, sr_returned_date_sk@0 as date_sk, Some(0),7,2 as sales_price, Some(0),7,2 as profit, sr_return_amt@11 as return_amt, sr_net_loss@19 as net_loss], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 1 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_id], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_id], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_id], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_id], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 2 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_date@1 >= 2000-08-23 AND d_date@1 <= 2000-09-06, projection=[d_date_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-08-23 AND d_date@2 <= 2000-09-06, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-08-23 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-09-06, required_guarantees=[]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-08-23 AND d_date@2 <= 2000-09-06, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-08-23 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-09-06, required_guarantees=[]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-08-23 AND d_date@2 <= 2000-09-06, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-08-23 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-09-06, required_guarantees=[]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-08-23 AND d_date@2 <= 2000-09-06, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-08-23 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-09-06, required_guarantees=[]
              └──────────────────────────────────────────────────
            ┌───── Stage 6 ── Tasks: t0:[p0..p2] t1:[p0..p2] t2:[p0..p2] t3:[p0..p2]
            │ RepartitionExec: partitioning=Hash([cp_catalog_page_id@0], 3), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[cp_catalog_page_id@4 as cp_catalog_page_id], aggr=[sum(salesreturns.sales_price), sum(salesreturns.profit), sum(salesreturns.return_amt), sum(salesreturns.net_loss)]
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(page_sk@0, cp_catalog_page_sk@0)], projection=[sales_price@1, profit@2, return_amt@3, net_loss@4, cp_catalog_page_id@6]
            │       CoalescePartitionsExec
            │         [Stage 5] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │       RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │         DistributedLeafExec:
            │           t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_page/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_page/part-0.parquet:<int>..<int>]]}, projection=[cp_catalog_page_sk, cp_catalog_page_id], file_type=parquet, predicate=DynamicFilter [ empty ]
            │           t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_page/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_page/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_page/part-1.parquet:<int>..<int>]]}, projection=[cp_catalog_page_sk, cp_catalog_page_id], file_type=parquet, predicate=DynamicFilter [ empty ]
            │           t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_page/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_page/part-1.parquet:<int>..<int>]]}, projection=[cp_catalog_page_sk, cp_catalog_page_id], file_type=parquet, predicate=DynamicFilter [ empty ]
            │           t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_page/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_page/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_page/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_page/part-3.parquet:<int>..<int>]]}, projection=[cp_catalog_page_sk, cp_catalog_page_id], file_type=parquet, predicate=DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 5 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, date_sk@1)], projection=[page_sk@1, sales_price@3, profit@4, return_amt@5, net_loss@6]
              │     CoalescePartitionsExec
              │       [Stage 4] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
              │     DistributedUnionExec: t0:[c0(0/2)] t1:[c0(1/2)] t2:[c1(0/2)] t3:[c1(1/2)]
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_catalog_page_sk@12 as page_sk, cs_sold_date_sk@0 as date_sk, cs_ext_sales_price@23 as sales_price, cs_net_profit@33 as profit, Some(0),7,2 as return_amt, Some(0),7,2 as net_loss], file_type=parquet, predicate=DynamicFilter [ empty ]
              │         t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_catalog_page_sk@12 as page_sk, cs_sold_date_sk@0 as date_sk, cs_ext_sales_price@23 as sales_price, cs_net_profit@33 as profit, Some(0),7,2 as return_amt, Some(0),7,2 as net_loss], file_type=parquet, predicate=DynamicFilter [ empty ]
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-3.parquet:<int>..<int>]]}, projection=[cr_catalog_page_sk@12 as page_sk, cr_returned_date_sk@0 as date_sk, Some(0),7,2 as sales_price, Some(0),7,2 as profit, cr_return_amount@18 as return_amt, cr_net_loss@26 as net_loss], file_type=parquet, predicate=DynamicFilter [ empty ]
              │         t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-3.parquet:<int>..<int>]]}, projection=[cr_catalog_page_sk@12 as page_sk, cr_returned_date_sk@0 as date_sk, Some(0),7,2 as sales_price, Some(0),7,2 as profit, cr_return_amount@18 as return_amt, cr_net_loss@26 as net_loss], file_type=parquet, predicate=DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
                ┌───── Stage 4 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                │   FilterExec: d_date@1 >= 2000-08-23 AND d_date@1 <= 2000-09-06, projection=[d_date_sk@0]
                │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-08-23 AND d_date@2 <= 2000-09-06, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-08-23 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-09-06, required_guarantees=[]
                │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-08-23 AND d_date@2 <= 2000-09-06, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-08-23 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-09-06, required_guarantees=[]
                │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-08-23 AND d_date@2 <= 2000-09-06, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-08-23 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-09-06, required_guarantees=[]
                │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-08-23 AND d_date@2 <= 2000-09-06, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-08-23 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-09-06, required_guarantees=[]
                └──────────────────────────────────────────────────
            ┌───── Stage 11 ── Tasks: t0:[p0..p2] t1:[p0..p2] t2:[p0..p2] t3:[p0..p2]
            │ RepartitionExec: partitioning=Hash([web_site_id@0], 3), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[web_site_id@4 as web_site_id], aggr=[sum(salesreturns.sales_price), sum(salesreturns.profit), sum(salesreturns.return_amt), sum(salesreturns.net_loss)]
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(web_site_sk@0, wsr_web_site_sk@0)], projection=[sales_price@3, profit@4, return_amt@5, net_loss@6, web_site_id@1]
            │       CoalescePartitionsExec
            │         [Stage 7] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, date_sk@1)], projection=[wsr_web_site_sk@1, sales_price@3, profit@4, return_amt@5, net_loss@6]
            │         CoalescePartitionsExec
            │           [Stage 8] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │         DistributedUnionExec: t0:[c0(0/2)] t1:[c0(1/2)] t2:[c1(0/2)] t3:[c1(1/2)]
            │           DistributedLeafExec:
            │             t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_web_site_sk@13 as wsr_web_site_sk, ws_sold_date_sk@0 as date_sk, ws_ext_sales_price@23 as sales_price, ws_net_profit@33 as profit, Some(0),7,2 as return_amt, Some(0),7,2 as net_loss], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_web_site_sk@13 as wsr_web_site_sk, ws_sold_date_sk@0 as date_sk, ws_ext_sales_price@23 as sales_price, ws_net_profit@33 as profit, Some(0),7,2 as return_amt, Some(0),7,2 as net_loss], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           ProjectionExec: expr=[ws_web_site_sk@0 as wsr_web_site_sk, wr_returned_date_sk@1 as date_sk, Some(0),7,2 as sales_price, Some(0),7,2 as profit, wr_return_amt@2 as return_amt, wr_net_loss@3 as net_loss]
            │             HashJoinExec: mode=Partitioned, join_type=Left, on=[(wr_item_sk@1, ws_item_sk@0), (wr_order_number@2, ws_order_number@2)], projection=[ws_web_site_sk@6, wr_returned_date_sk@0, wr_return_amt@3, wr_net_loss@4]
            │               [Stage 9] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            │               [Stage 10] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            └──────────────────────────────────────────────────
              ┌───── Stage 7 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_site/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_site/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_site/part-1.parquet:<int>..<int>]]}, projection=[web_site_sk, web_site_id], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_site/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_site/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_site/part-2.parquet:<int>..<int>]]}, projection=[web_site_sk, web_site_id], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_site/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_site/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_site/part-3.parquet:<int>..<int>]]}, projection=[web_site_sk, web_site_id], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_site/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_site/part-3.parquet:<int>..<int>]]}, projection=[web_site_sk, web_site_id], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 8 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_date@1 >= 2000-08-23 AND d_date@1 <= 2000-09-06, projection=[d_date_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-08-23 AND d_date@2 <= 2000-09-06, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-08-23 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-09-06, required_guarantees=[]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-08-23 AND d_date@2 <= 2000-09-06, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-08-23 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-09-06, required_guarantees=[]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-08-23 AND d_date@2 <= 2000-09-06, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-08-23 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-09-06, required_guarantees=[]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-08-23 AND d_date@2 <= 2000-09-06, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-08-23 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-09-06, required_guarantees=[]
              └──────────────────────────────────────────────────
              ┌───── Stage 9 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
              │ RepartitionExec: partitioning=Hash([wr_item_sk@1, wr_order_number@2], 6), input_partitions=2
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_returns/part-2.parquet:<int>..<int>]]}, projection=[wr_returned_date_sk, wr_item_sk, wr_order_number, wr_return_amt, wr_net_loss], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_returns/part-2.parquet:<int>..<int>]]}, projection=[wr_returned_date_sk, wr_item_sk, wr_order_number, wr_return_amt, wr_net_loss], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_returns/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_returns/part-3.parquet:<int>..<int>]]}, projection=[wr_returned_date_sk, wr_item_sk, wr_order_number, wr_return_amt, wr_net_loss], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_returns/part-3.parquet:<int>..<int>]]}, projection=[wr_returned_date_sk, wr_item_sk, wr_order_number, wr_return_amt, wr_net_loss], file_type=parquet, predicate=DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
              ┌───── Stage 10 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
              │ RepartitionExec: partitioning=Hash([ws_item_sk@0, ws_order_number@2], 6), input_partitions=3
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>]]}, projection=[ws_item_sk, ws_web_site_sk, ws_order_number], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_item_sk, ws_web_site_sk, ws_order_number], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_item_sk, ws_web_site_sk, ws_order_number], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_item_sk, ws_web_site_sk, ws_order_number], file_type=parquet, predicate=DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_6() -> Result<()> {
        let display = test_tpcds_query("q6").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [cnt@1 ASC, state@0 ASC], fetch=100
        │   SortExec: TopK(fetch=100), expr=[cnt@1 ASC, state@0 ASC], preserve_partitioning=[true]
        │     ProjectionExec: expr=[ca_state@0 as state, count(Int64(1))@1 as cnt]
        │       FilterExec: count(Int64(1))@1 >= 10
        │         AggregateExec: mode=FinalPartitioned, gby=[ca_state@0 as ca_state], aggr=[count(Int64(1))]
        │           [Stage 9] => NetworkShuffleExec: output_partitions=3, input_tasks=4
        └──────────────────────────────────────────────────
          ┌───── Stage 9 ── Tasks: t0:[p0..p2] t1:[p0..p2] t2:[p0..p2] t3:[p0..p2]
          │ RepartitionExec: partitioning=Hash([ca_state@0], 3), input_partitions=3
          │   AggregateExec: mode=Partial, gby=[ca_state@0 as ca_state], aggr=[count(Int64(1))]
          │     FilterExec: CAST(i_current_price@1 AS Decimal128(30, 15)) > CAST(1.2 * avg(j.i_current_price)@2 AS Decimal128(30, 15)), projection=[ca_state@0]
          │       HashJoinExec: mode=CollectLeft, join_type=Right, on=[(i_category@1, i_category@2)], projection=[ca_state@2, i_current_price@3, avg(j.i_current_price)@0]
          │         CoalescePartitionsExec
          │           [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=2
          │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_month_seq@0, d_month_seq@1)], projection=[ca_state@1, i_current_price@3, i_category@4]
          │           CoalescePartitionsExec
          │             [Stage 4] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=1
          │           HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, ss_item_sk@1)], projection=[ca_state@3, d_month_seq@5, i_current_price@1, i_category@2]
          │             CoalescePartitionsExec
          │               [Stage 5] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
          │             HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@1)], projection=[ca_state@2, ss_item_sk@4, d_month_seq@1]
          │               CoalescePartitionsExec
          │                 [Stage 6] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
          │               HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(c_customer_sk@1, ss_customer_sk@2)], projection=[ca_state@0, ss_sold_date_sk@2, ss_item_sk@3]
          │                 CoalescePartitionsExec
          │                   [Stage 8] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
          │                 DistributedLeafExec:
          │                   t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_customer_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          │                   t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_customer_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          │                   t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_customer_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          │                   t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_customer_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          └──────────────────────────────────────────────────
            ┌───── Stage 2 ── Tasks: t0:[p0..p11] t1:[p12..p23]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   ProjectionExec: expr=[CAST(avg(j.i_current_price)@1 AS Float64) as avg(j.i_current_price), i_category@0 as i_category]
            │     AggregateExec: mode=FinalPartitioned, gby=[i_category@0 as i_category], aggr=[avg(j.i_current_price)]
            │       [Stage 1] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            └──────────────────────────────────────────────────
              ┌───── Stage 1 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
              │ RepartitionExec: partitioning=Hash([i_category@0], 6), input_partitions=3
              │   AggregateExec: mode=Partial, gby=[i_category@1 as i_category], aggr=[avg(j.i_current_price)]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_current_price, i_category], file_type=parquet
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_current_price, i_category], file_type=parquet
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_current_price, i_category], file_type=parquet
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_current_price, i_category], file_type=parquet
              └──────────────────────────────────────────────────
            ┌───── Stage 4 ── Tasks: t0:[p0..p11]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   AggregateExec: mode=FinalPartitioned, gby=[d_month_seq@0 as d_month_seq], aggr=[]
            │     [Stage 3] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            └──────────────────────────────────────────────────
              ┌───── Stage 3 ── Tasks: t0:[p0..p2] t1:[p0..p2] t2:[p0..p2] t3:[p0..p2]
              │ RepartitionExec: partitioning=Hash([d_month_seq@0], 3), input_partitions=3
              │   AggregateExec: mode=Partial, gby=[d_month_seq@0 as d_month_seq], aggr=[]
              │     FilterExec: d_year@1 = 2001 AND d_moy@2 = 1, projection=[d_month_seq@0]
              │       RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │         DistributedLeafExec:
              │           t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_month_seq, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001 AND d_moy@8 = 1, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 1 AND 1 <= d_moy_max@5, required_guarantees=[d_moy in (1), d_year in (2001)]
              │           t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_month_seq, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001 AND d_moy@8 = 1, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 1 AND 1 <= d_moy_max@5, required_guarantees=[d_moy in (1), d_year in (2001)]
              │           t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_month_seq, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001 AND d_moy@8 = 1, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 1 AND 1 <= d_moy_max@5, required_guarantees=[d_moy in (1), d_year in (2001)]
              │           t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_month_seq, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001 AND d_moy@8 = 1, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 1 AND 1 <= d_moy_max@5, required_guarantees=[d_moy in (1), d_year in (2001)]
              └──────────────────────────────────────────────────
            ┌───── Stage 5 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
            │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
            │   DistributedLeafExec:
            │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_current_price, i_category], file_type=parquet
            │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_current_price, i_category], file_type=parquet
            │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_current_price, i_category], file_type=parquet
            │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_current_price, i_category], file_type=parquet
            └──────────────────────────────────────────────────
            ┌───── Stage 6 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
            │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
            │   DistributedLeafExec:
            │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_month_seq], file_type=parquet, predicate=DynamicFilter [ empty ]
            │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_month_seq], file_type=parquet, predicate=DynamicFilter [ empty ]
            │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_month_seq], file_type=parquet, predicate=DynamicFilter [ empty ]
            │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_month_seq], file_type=parquet, predicate=DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
            ┌───── Stage 8 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(ca_address_sk@0, c_current_addr_sk@1)], projection=[ca_state@1, c_customer_sk@2]
            │     CoalescePartitionsExec
            │       [Stage 7] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_addr_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
            │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_addr_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
            │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_addr_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
            │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_addr_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 7 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_state], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_state], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_state], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_state], file_type=parquet
              └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_7() -> Result<()> {
        let display = test_tpcds_query("q7").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [i_item_id@0 ASC NULLS LAST], fetch=100
        │   [Stage 7] => NetworkCoalesceExec: output_partitions=6, input_tasks=2
        └──────────────────────────────────────────────────
          ┌───── Stage 7 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ SortExec: TopK(fetch=100), expr=[i_item_id@0 ASC NULLS LAST], preserve_partitioning=[true]
          │   ProjectionExec: expr=[i_item_id@0 as i_item_id, avg(store_sales.ss_quantity)@1 as agg1, avg(store_sales.ss_list_price)@2 as agg2, avg(store_sales.ss_coupon_amt)@3 as agg3, avg(store_sales.ss_sales_price)@4 as agg4]
          │     AggregateExec: mode=FinalPartitioned, gby=[i_item_id@0 as i_item_id], aggr=[avg(store_sales.ss_quantity), avg(store_sales.ss_list_price), avg(store_sales.ss_coupon_amt), avg(store_sales.ss_sales_price)]
          │       [Stage 6] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 6 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([i_item_id@0], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[i_item_id@4 as i_item_id], aggr=[avg(store_sales.ss_quantity), avg(store_sales.ss_list_price), avg(store_sales.ss_coupon_amt), avg(store_sales.ss_sales_price)]
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(p_promo_sk@0, ss_promo_sk@0)], projection=[ss_quantity@2, ss_list_price@3, ss_sales_price@4, ss_coupon_amt@5, i_item_id@6]
            │       CoalescePartitionsExec
            │         [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, ss_item_sk@0)], projection=[ss_promo_sk@3, ss_quantity@4, ss_list_price@5, ss_sales_price@6, ss_coupon_amt@7, i_item_id@1]
            │         CoalescePartitionsExec
            │           [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[ss_item_sk@2, ss_promo_sk@3, ss_quantity@4, ss_list_price@5, ss_sales_price@6, ss_coupon_amt@7]
            │           CoalescePartitionsExec
            │             [Stage 3] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │           HashJoinExec: mode=Partitioned, join_type=Inner, on=[(cd_demo_sk@0, ss_cdemo_sk@2)], projection=[ss_sold_date_sk@1, ss_item_sk@2, ss_promo_sk@4, ss_quantity@5, ss_list_price@6, ss_sales_price@7, ss_coupon_amt@8]
            │             [Stage 4] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            │             [Stage 5] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            └──────────────────────────────────────────────────
              ┌───── Stage 1 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: p_channel_email@1 = N OR p_channel_event@2 = N, projection=[p_promo_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/promotion/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/promotion/part-0.parquet:<int>..<int>]]}, projection=[p_promo_sk, p_channel_email, p_channel_event], file_type=parquet, predicate=p_channel_email@9 = N OR p_channel_event@14 = N, pruning_predicate=p_channel_email_null_count@2 != row_count@3 AND p_channel_email_min@0 <= N AND N <= p_channel_email_max@1 OR p_channel_event_null_count@6 != row_count@3 AND p_channel_event_min@4 <= N AND N <= p_channel_event_max@5, required_guarantees=[]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/promotion/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/promotion/part-0.parquet:<int>..<int>]]}, projection=[p_promo_sk, p_channel_email, p_channel_event], file_type=parquet, predicate=p_channel_email@9 = N OR p_channel_event@14 = N, pruning_predicate=p_channel_email_null_count@2 != row_count@3 AND p_channel_email_min@0 <= N AND N <= p_channel_email_max@1 OR p_channel_event_null_count@6 != row_count@3 AND p_channel_event_min@4 <= N AND N <= p_channel_event_max@5, required_guarantees=[]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/promotion/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/promotion/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/promotion/part-1.parquet:<int>..<int>]]}, projection=[p_promo_sk, p_channel_email, p_channel_event], file_type=parquet, predicate=p_channel_email@9 = N OR p_channel_event@14 = N, pruning_predicate=p_channel_email_null_count@2 != row_count@3 AND p_channel_email_min@0 <= N AND N <= p_channel_email_max@1 OR p_channel_event_null_count@6 != row_count@3 AND p_channel_event_min@4 <= N AND N <= p_channel_event_max@5, required_guarantees=[]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/promotion/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/promotion/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/promotion/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/promotion/part-3.parquet:<int>..<int>]]}, projection=[p_promo_sk, p_channel_email, p_channel_event], file_type=parquet, predicate=p_channel_email@9 = N OR p_channel_event@14 = N, pruning_predicate=p_channel_email_null_count@2 != row_count@3 AND p_channel_email_min@0 <= N AND N <= p_channel_email_max@1 OR p_channel_event_null_count@6 != row_count@3 AND p_channel_event_min@4 <= N AND N <= p_channel_event_max@5, required_guarantees=[]
              └──────────────────────────────────────────────────
              ┌───── Stage 2 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet, predicate=DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
              ┌───── Stage 3 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_year@1 = 2000, projection=[d_date_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2000, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1, required_guarantees=[d_year in (2000)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2000, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1, required_guarantees=[d_year in (2000)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2000, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1, required_guarantees=[d_year in (2000)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2000, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1, required_guarantees=[d_year in (2000)]
              └──────────────────────────────────────────────────
              ┌───── Stage 4 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
              │ RepartitionExec: partitioning=Hash([cd_demo_sk@0], 12), input_partitions=3
              │   FilterExec: cd_gender@1 = M AND cd_marital_status@2 = S AND cd_education_status@3 = College, projection=[cd_demo_sk@0]
              │     DistributedLeafExec:
              │       t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_gender, cd_marital_status, cd_education_status], file_type=parquet, predicate=cd_gender@1 = M AND cd_marital_status@2 = S AND cd_education_status@3 = College, pruning_predicate=cd_gender_null_count@2 != row_count@3 AND cd_gender_min@0 <= M AND M <= cd_gender_max@1 AND cd_marital_status_null_count@6 != row_count@3 AND cd_marital_status_min@4 <= S AND S <= cd_marital_status_max@5 AND cd_education_status_null_count@9 != row_count@3 AND cd_education_status_min@7 <= College AND College <= cd_education_status_max@8, required_guarantees=[cd_education_status in (College), cd_gender in (M), cd_marital_status in (S)]
              │       t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-3.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_gender, cd_marital_status, cd_education_status], file_type=parquet, predicate=cd_gender@1 = M AND cd_marital_status@2 = S AND cd_education_status@3 = College, pruning_predicate=cd_gender_null_count@2 != row_count@3 AND cd_gender_min@0 <= M AND M <= cd_gender_max@1 AND cd_marital_status_null_count@6 != row_count@3 AND cd_marital_status_min@4 <= S AND S <= cd_marital_status_max@5 AND cd_education_status_null_count@9 != row_count@3 AND cd_education_status_min@7 <= College AND College <= cd_education_status_max@8, required_guarantees=[cd_education_status in (College), cd_gender in (M), cd_marital_status in (S)]
              │       t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-3.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_gender, cd_marital_status, cd_education_status], file_type=parquet, predicate=cd_gender@1 = M AND cd_marital_status@2 = S AND cd_education_status@3 = College, pruning_predicate=cd_gender_null_count@2 != row_count@3 AND cd_gender_min@0 <= M AND M <= cd_gender_max@1 AND cd_marital_status_null_count@6 != row_count@3 AND cd_marital_status_min@4 <= S AND S <= cd_marital_status_max@5 AND cd_education_status_null_count@9 != row_count@3 AND cd_education_status_min@7 <= College AND College <= cd_education_status_max@8, required_guarantees=[cd_education_status in (College), cd_gender in (M), cd_marital_status in (S)]
              │       t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-3.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_gender, cd_marital_status, cd_education_status], file_type=parquet, predicate=cd_gender@1 = M AND cd_marital_status@2 = S AND cd_education_status@3 = College, pruning_predicate=cd_gender_null_count@2 != row_count@3 AND cd_gender_min@0 <= M AND M <= cd_gender_max@1 AND cd_marital_status_null_count@6 != row_count@3 AND cd_marital_status_min@4 <= S AND S <= cd_marital_status_max@5 AND cd_education_status_null_count@9 != row_count@3 AND cd_education_status_min@7 <= College AND College <= cd_education_status_max@8, required_guarantees=[cd_education_status in (College), cd_gender in (M), cd_marital_status in (S)]
              └──────────────────────────────────────────────────
              ┌───── Stage 5 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
              │ RepartitionExec: partitioning=Hash([ss_cdemo_sk@2], 12), input_partitions=3
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_cdemo_sk, ss_promo_sk, ss_quantity, ss_list_price, ss_sales_price, ss_coupon_amt], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │     t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_cdemo_sk, ss_promo_sk, ss_quantity, ss_list_price, ss_sales_price, ss_coupon_amt], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │     t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_cdemo_sk, ss_promo_sk, ss_quantity, ss_list_price, ss_sales_price, ss_coupon_amt], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │     t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_cdemo_sk, ss_promo_sk, ss_quantity, ss_list_price, ss_sales_price, ss_coupon_amt], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_8() -> Result<()> {
        let display = test_tpcds_query("q8").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [s_store_name@0 ASC NULLS LAST], fetch=100
        │   [Stage 8] => NetworkCoalesceExec: output_partitions=6, input_tasks=2
        └──────────────────────────────────────────────────
          ┌───── Stage 8 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ SortExec: TopK(fetch=100), expr=[s_store_name@0 ASC NULLS LAST], preserve_partitioning=[true]
          │   AggregateExec: mode=FinalPartitioned, gby=[s_store_name@0 as s_store_name], aggr=[sum(store_sales.ss_net_profit)]
          │     [Stage 7] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 7 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([s_store_name@0], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[s_store_name@1 as s_store_name], aggr=[sum(store_sales.ss_net_profit)]
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(substr(v1.ca_zip,Int64(1),Int64(2))@1, substr(store.s_zip,Int64(1),Int64(2))@3)], projection=[ss_net_profit@2, s_store_name@3]
            │       CoalescePartitionsExec
            │         [Stage 4] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=1
            │       ProjectionExec: expr=[ss_net_profit@0 as ss_net_profit, s_store_name@1 as s_store_name, s_zip@2 as s_zip, substr(s_zip@2, 1, 2) as substr(store.s_zip,Int64(1),Int64(2))]
            │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(s_store_sk@0, ss_store_sk@0)], projection=[ss_net_profit@4, s_store_name@1, s_zip@2]
            │           CoalescePartitionsExec
            │             [Stage 5] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │           HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[ss_store_sk@2, ss_net_profit@3]
            │             CoalescePartitionsExec
            │               [Stage 6] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │             DistributedLeafExec:
            │               t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_store_sk, ss_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │               t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_store_sk, ss_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │               t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_store_sk, ss_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │               t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_store_sk, ss_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 4 ── Tasks: t0:[p0..p11]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   ProjectionExec: expr=[ca_zip@0 as ca_zip, substr(ca_zip@0, 1, 2) as substr(v1.ca_zip,Int64(1),Int64(2))]
              │     HashJoinExec: mode=CollectLeft, join_type=LeftSemi, on=[(ca_zip@0, ca_zip@0)], NullsEqual: true
              │       CoalescePartitionsExec
              │         AggregateExec: mode=FinalPartitioned, gby=[ca_zip@0 as ca_zip], aggr=[]
              │           [Stage 1] => NetworkShuffleExec: output_partitions=3, input_tasks=4
              │       ProjectionExec: expr=[substr(ca_zip@0, 1, 5) as ca_zip]
              │         FilterExec: count(Int64(1))@1 > 10, projection=[ca_zip@0]
              │           AggregateExec: mode=FinalPartitioned, gby=[ca_zip@0 as ca_zip], aggr=[count(Int64(1))]
              │             [Stage 3] => NetworkShuffleExec: output_partitions=3, input_tasks=4
              └──────────────────────────────────────────────────
                ┌───── Stage 1 ── Tasks: t0:[p0..p2] t1:[p0..p2] t2:[p0..p2] t3:[p0..p2]
                │ RepartitionExec: partitioning=Hash([ca_zip@0], 3), input_partitions=3
                │   AggregateExec: mode=Partial, gby=[ca_zip@0 as ca_zip], aggr=[]
                │     ProjectionExec: expr=[substr(ca_zip@0, 1, 5) as ca_zip]
                │       FilterExec: substr(ca_zip@0, 1, 5) IN (SET) ([24128, 76232, 65084, 87816, 83926, 77556, 20548, 26231, 43848, 15126, 91137, 61265, 98294, 25782, 17920, 18426, 98235, 40081, 84093, 28577, 55565, 17183, 54601, 67897, 22752, 86284, 18376, 38607, 45200, 21756, 29741, 96765, 23932, 89360, 29839, 25989, 28898, 91068, 72550, 10390, 18845, 47770, 82636, 41367, 76638, 86198, 81312, 37126, 39192, 88424, 72175, 81426, 53672, 10445, 42666, 66864, 66708, 41248, 48583, 82276, 18842, 78890, 49448, 14089, 38122, 34425, 79077, 19849, 43285, 39861, 66162, 77610, 13695, 99543, 83444, 83041, 12305, 57665, 68341, 25003, 57834, 62878, 49130, 81096, 18840, 27700, 23470, 50412, 21195, 16021, 76107, 71954, 68309, 18119, 98359, 64544, 10336, 86379, 27068, 39736, 98569, 28915, 24206, 56529, 57647, 54917, 42961, 91110, 63981, 14922, 36420, 23006, 67467, 32754, 30903, 20260, 31671, 51798, 72325, 85816, 68621, 13955, 36446, 41766, 68806, 16725, 15146, 22744, 35850, 88086, 51649, 18270, 52867, 39972, 96976, 63792, 11376, 94898, 13595, 10516, 90225, 58943, 39371, 94945, 28587, 96576, 57855, 28488, 26105, 83933, 25858, 34322, 44438, 73171, 30122, 34102, 22685, 71256, 78451, 54364, 13354, 45375, 40558, 56458, 28286, 45266, 47305, 69399, 83921, 26233, 11101, 15371, 69913, 35942, 15882, 25631, 24610, 44165, 99076, 33786, 70738, 26653, 14328, 72305, 62496, 22152, 10144, 64147, 48425, 14663, 21076, 18799, 30450, 63089, 81019, 68893, 24996, 51200, 51211, 45692, 92712, 70466, 79994, 22437, 25280, 38935, 71791, 73134, 56571, 14060, 19505, 72425, 56575, 74351, 68786, 51650, 20004, 18383, 76614, 11634, 18906, 15765, 41368, 73241, 76698, 78567, 97189, 28545, 76231, 75691, 22246, 51061, 90578, 56691, 68014, 51103, 94167, 57047, 14867, 73520, 15734, 63435, 25733, 35474, 24676, 94627, 53535, 17879, 15559, 53268, 59166, 11928, 59402, 33282, 45721, 43933, 68101, 33515, 36634, 71286, 19736, 58058, 55253, 67473, 41918, 19515, 36495, 19430, 22351, 77191, 91393, 49156, 50298, 87501, 18652, 53179, 18767, 63193, 23968, 65164, 68880, 21286, 72823, 58470, 67301, 13394, 31016, 70372, 67030, 40604, 24317, 45748, 39127, 26065, 77721, 31029, 31880, 60576, 24671, 45549, 13376, 50016, 33123, 19769, 22927, 97789, 46081, 72151, 15723, 46136, 51949, 68100, 96888, 64528, 14171, 79777, 28709, 11489, 25103, 32213, 78668, 22245, 15798, 27156, 37930, 62971, 21337, 51622, 67853, 10567, 38415, 15455, 58263, 42029, 60279, 37125, 56240, 88190, 50308, 26859, 64457, 89091, 82136, 62377, 36233, 63837, 58078, 17043, 30010, 60099, 28810, 98025, 29178, 87343, 73273, 30469, 64034, 39516, 86057, 21309, 90257, 67875, 40162, 11356, 73650, 61810, 72013, 30431, 22461, 19512, 13375, 55307, 30625, 83849, 68908, 26689, 96451, 38193, 46820, 88885, 84935, 69035, 83144, 47537, 56616, 94983, 48033, 69952, 25486, 61547, 27385, 61860, 58048, 56910, 16807, 17871, 35258, 31387, 35458, 35576])
                │         RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │           DistributedLeafExec:
                │             t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>]]}, projection=[ca_zip], file_type=parquet, predicate=substr(ca_zip@9, 1, 5) IN (SET) ([24128, 76232, 65084, 87816, 83926, 77556, 20548, 26231, 43848, 15126, 91137, 61265, 98294, 25782, 17920, 18426, 98235, 40081, 84093, 28577, 55565, 17183, 54601, 67897, 22752, 86284, 18376, 38607, 45200, 21756, 29741, 96765, 23932, 89360, 29839, 25989, 28898, 91068, 72550, 10390, 18845, 47770, 82636, 41367, 76638, 86198, 81312, 37126, 39192, 88424, 72175, 81426, 53672, 10445, 42666, 66864, 66708, 41248, 48583, 82276, 18842, 78890, 49448, 14089, 38122, 34425, 79077, 19849, 43285, 39861, 66162, 77610, 13695, 99543, 83444, 83041, 12305, 57665, 68341, 25003, 57834, 62878, 49130, 81096, 18840, 27700, 23470, 50412, 21195, 16021, 76107, 71954, 68309, 18119, 98359, 64544, 10336, 86379, 27068, 39736, 98569, 28915, 24206, 56529, 57647, 54917, 42961, 91110, 63981, 14922, 36420, 23006, 67467, 32754, 30903, 20260, 31671, 51798, 72325, 85816, 68621, 13955, 36446, 41766, 68806, 16725, 15146, 22744, 35850, 88086, 51649, 18270, 52867, 39972, 96976, 63792, 11376, 94898, 13595, 10516, 90225, 58943, 39371, 94945, 28587, 96576, 57855, 28488, 26105, 83933, 25858, 34322, 44438, 73171, 30122, 34102, 22685, 71256, 78451, 54364, 13354, 45375, 40558, 56458, 28286, 45266, 47305, 69399, 83921, 26233, 11101, 15371, 69913, 35942, 15882, 25631, 24610, 44165, 99076, 33786, 70738, 26653, 14328, 72305, 62496, 22152, 10144, 64147, 48425, 14663, 21076, 18799, 30450, 63089, 81019, 68893, 24996, 51200, 51211, 45692, 92712, 70466, 79994, 22437, 25280, 38935, 71791, 73134, 56571, 14060, 19505, 72425, 56575, 74351, 68786, 51650, 20004, 18383, 76614, 11634, 18906, 15765, 41368, 73241, 76698, 78567, 97189, 28545, 76231, 75691, 22246, 51061, 90578, 56691, 68014, 51103, 94167, 57047, 14867, 73520, 15734, 63435, 25733, 35474, 24676, 94627, 53535, 17879, 15559, 53268, 59166, 11928, 59402, 33282, 45721, 43933, 68101, 33515, 36634, 71286, 19736, 58058, 55253, 67473, 41918, 19515, 36495, 19430, 22351, 77191, 91393, 49156, 50298, 87501, 18652, 53179, 18767, 63193, 23968, 65164, 68880, 21286, 72823, 58470, 67301, 13394, 31016, 70372, 67030, 40604, 24317, 45748, 39127, 26065, 77721, 31029, 31880, 60576, 24671, 45549, 13376, 50016, 33123, 19769, 22927, 97789, 46081, 72151, 15723, 46136, 51949, 68100, 96888, 64528, 14171, 79777, 28709, 11489, 25103, 32213, 78668, 22245, 15798, 27156, 37930, 62971, 21337, 51622, 67853, 10567, 38415, 15455, 58263, 42029, 60279, 37125, 56240, 88190, 50308, 26859, 64457, 89091, 82136, 62377, 36233, 63837, 58078, 17043, 30010, 60099, 28810, 98025, 29178, 87343, 73273, 30469, 64034, 39516, 86057, 21309, 90257, 67875, 40162, 11356, 73650, 61810, 72013, 30431, 22461, 19512, 13375, 55307, 30625, 83849, 68908, 26689, 96451, 38193, 46820, 88885, 84935, 69035, 83144, 47537, 56616, 94983, 48033, 69952, 25486, 61547, 27385, 61860, 58048, 56910, 16807, 17871, 35258, 31387, 35458, 35576])
                │             t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>]]}, projection=[ca_zip], file_type=parquet, predicate=substr(ca_zip@9, 1, 5) IN (SET) ([24128, 76232, 65084, 87816, 83926, 77556, 20548, 26231, 43848, 15126, 91137, 61265, 98294, 25782, 17920, 18426, 98235, 40081, 84093, 28577, 55565, 17183, 54601, 67897, 22752, 86284, 18376, 38607, 45200, 21756, 29741, 96765, 23932, 89360, 29839, 25989, 28898, 91068, 72550, 10390, 18845, 47770, 82636, 41367, 76638, 86198, 81312, 37126, 39192, 88424, 72175, 81426, 53672, 10445, 42666, 66864, 66708, 41248, 48583, 82276, 18842, 78890, 49448, 14089, 38122, 34425, 79077, 19849, 43285, 39861, 66162, 77610, 13695, 99543, 83444, 83041, 12305, 57665, 68341, 25003, 57834, 62878, 49130, 81096, 18840, 27700, 23470, 50412, 21195, 16021, 76107, 71954, 68309, 18119, 98359, 64544, 10336, 86379, 27068, 39736, 98569, 28915, 24206, 56529, 57647, 54917, 42961, 91110, 63981, 14922, 36420, 23006, 67467, 32754, 30903, 20260, 31671, 51798, 72325, 85816, 68621, 13955, 36446, 41766, 68806, 16725, 15146, 22744, 35850, 88086, 51649, 18270, 52867, 39972, 96976, 63792, 11376, 94898, 13595, 10516, 90225, 58943, 39371, 94945, 28587, 96576, 57855, 28488, 26105, 83933, 25858, 34322, 44438, 73171, 30122, 34102, 22685, 71256, 78451, 54364, 13354, 45375, 40558, 56458, 28286, 45266, 47305, 69399, 83921, 26233, 11101, 15371, 69913, 35942, 15882, 25631, 24610, 44165, 99076, 33786, 70738, 26653, 14328, 72305, 62496, 22152, 10144, 64147, 48425, 14663, 21076, 18799, 30450, 63089, 81019, 68893, 24996, 51200, 51211, 45692, 92712, 70466, 79994, 22437, 25280, 38935, 71791, 73134, 56571, 14060, 19505, 72425, 56575, 74351, 68786, 51650, 20004, 18383, 76614, 11634, 18906, 15765, 41368, 73241, 76698, 78567, 97189, 28545, 76231, 75691, 22246, 51061, 90578, 56691, 68014, 51103, 94167, 57047, 14867, 73520, 15734, 63435, 25733, 35474, 24676, 94627, 53535, 17879, 15559, 53268, 59166, 11928, 59402, 33282, 45721, 43933, 68101, 33515, 36634, 71286, 19736, 58058, 55253, 67473, 41918, 19515, 36495, 19430, 22351, 77191, 91393, 49156, 50298, 87501, 18652, 53179, 18767, 63193, 23968, 65164, 68880, 21286, 72823, 58470, 67301, 13394, 31016, 70372, 67030, 40604, 24317, 45748, 39127, 26065, 77721, 31029, 31880, 60576, 24671, 45549, 13376, 50016, 33123, 19769, 22927, 97789, 46081, 72151, 15723, 46136, 51949, 68100, 96888, 64528, 14171, 79777, 28709, 11489, 25103, 32213, 78668, 22245, 15798, 27156, 37930, 62971, 21337, 51622, 67853, 10567, 38415, 15455, 58263, 42029, 60279, 37125, 56240, 88190, 50308, 26859, 64457, 89091, 82136, 62377, 36233, 63837, 58078, 17043, 30010, 60099, 28810, 98025, 29178, 87343, 73273, 30469, 64034, 39516, 86057, 21309, 90257, 67875, 40162, 11356, 73650, 61810, 72013, 30431, 22461, 19512, 13375, 55307, 30625, 83849, 68908, 26689, 96451, 38193, 46820, 88885, 84935, 69035, 83144, 47537, 56616, 94983, 48033, 69952, 25486, 61547, 27385, 61860, 58048, 56910, 16807, 17871, 35258, 31387, 35458, 35576])
                │             t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_zip], file_type=parquet, predicate=substr(ca_zip@9, 1, 5) IN (SET) ([24128, 76232, 65084, 87816, 83926, 77556, 20548, 26231, 43848, 15126, 91137, 61265, 98294, 25782, 17920, 18426, 98235, 40081, 84093, 28577, 55565, 17183, 54601, 67897, 22752, 86284, 18376, 38607, 45200, 21756, 29741, 96765, 23932, 89360, 29839, 25989, 28898, 91068, 72550, 10390, 18845, 47770, 82636, 41367, 76638, 86198, 81312, 37126, 39192, 88424, 72175, 81426, 53672, 10445, 42666, 66864, 66708, 41248, 48583, 82276, 18842, 78890, 49448, 14089, 38122, 34425, 79077, 19849, 43285, 39861, 66162, 77610, 13695, 99543, 83444, 83041, 12305, 57665, 68341, 25003, 57834, 62878, 49130, 81096, 18840, 27700, 23470, 50412, 21195, 16021, 76107, 71954, 68309, 18119, 98359, 64544, 10336, 86379, 27068, 39736, 98569, 28915, 24206, 56529, 57647, 54917, 42961, 91110, 63981, 14922, 36420, 23006, 67467, 32754, 30903, 20260, 31671, 51798, 72325, 85816, 68621, 13955, 36446, 41766, 68806, 16725, 15146, 22744, 35850, 88086, 51649, 18270, 52867, 39972, 96976, 63792, 11376, 94898, 13595, 10516, 90225, 58943, 39371, 94945, 28587, 96576, 57855, 28488, 26105, 83933, 25858, 34322, 44438, 73171, 30122, 34102, 22685, 71256, 78451, 54364, 13354, 45375, 40558, 56458, 28286, 45266, 47305, 69399, 83921, 26233, 11101, 15371, 69913, 35942, 15882, 25631, 24610, 44165, 99076, 33786, 70738, 26653, 14328, 72305, 62496, 22152, 10144, 64147, 48425, 14663, 21076, 18799, 30450, 63089, 81019, 68893, 24996, 51200, 51211, 45692, 92712, 70466, 79994, 22437, 25280, 38935, 71791, 73134, 56571, 14060, 19505, 72425, 56575, 74351, 68786, 51650, 20004, 18383, 76614, 11634, 18906, 15765, 41368, 73241, 76698, 78567, 97189, 28545, 76231, 75691, 22246, 51061, 90578, 56691, 68014, 51103, 94167, 57047, 14867, 73520, 15734, 63435, 25733, 35474, 24676, 94627, 53535, 17879, 15559, 53268, 59166, 11928, 59402, 33282, 45721, 43933, 68101, 33515, 36634, 71286, 19736, 58058, 55253, 67473, 41918, 19515, 36495, 19430, 22351, 77191, 91393, 49156, 50298, 87501, 18652, 53179, 18767, 63193, 23968, 65164, 68880, 21286, 72823, 58470, 67301, 13394, 31016, 70372, 67030, 40604, 24317, 45748, 39127, 26065, 77721, 31029, 31880, 60576, 24671, 45549, 13376, 50016, 33123, 19769, 22927, 97789, 46081, 72151, 15723, 46136, 51949, 68100, 96888, 64528, 14171, 79777, 28709, 11489, 25103, 32213, 78668, 22245, 15798, 27156, 37930, 62971, 21337, 51622, 67853, 10567, 38415, 15455, 58263, 42029, 60279, 37125, 56240, 88190, 50308, 26859, 64457, 89091, 82136, 62377, 36233, 63837, 58078, 17043, 30010, 60099, 28810, 98025, 29178, 87343, 73273, 30469, 64034, 39516, 86057, 21309, 90257, 67875, 40162, 11356, 73650, 61810, 72013, 30431, 22461, 19512, 13375, 55307, 30625, 83849, 68908, 26689, 96451, 38193, 46820, 88885, 84935, 69035, 83144, 47537, 56616, 94983, 48033, 69952, 25486, 61547, 27385, 61860, 58048, 56910, 16807, 17871, 35258, 31387, 35458, 35576])
                │             t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_zip], file_type=parquet, predicate=substr(ca_zip@9, 1, 5) IN (SET) ([24128, 76232, 65084, 87816, 83926, 77556, 20548, 26231, 43848, 15126, 91137, 61265, 98294, 25782, 17920, 18426, 98235, 40081, 84093, 28577, 55565, 17183, 54601, 67897, 22752, 86284, 18376, 38607, 45200, 21756, 29741, 96765, 23932, 89360, 29839, 25989, 28898, 91068, 72550, 10390, 18845, 47770, 82636, 41367, 76638, 86198, 81312, 37126, 39192, 88424, 72175, 81426, 53672, 10445, 42666, 66864, 66708, 41248, 48583, 82276, 18842, 78890, 49448, 14089, 38122, 34425, 79077, 19849, 43285, 39861, 66162, 77610, 13695, 99543, 83444, 83041, 12305, 57665, 68341, 25003, 57834, 62878, 49130, 81096, 18840, 27700, 23470, 50412, 21195, 16021, 76107, 71954, 68309, 18119, 98359, 64544, 10336, 86379, 27068, 39736, 98569, 28915, 24206, 56529, 57647, 54917, 42961, 91110, 63981, 14922, 36420, 23006, 67467, 32754, 30903, 20260, 31671, 51798, 72325, 85816, 68621, 13955, 36446, 41766, 68806, 16725, 15146, 22744, 35850, 88086, 51649, 18270, 52867, 39972, 96976, 63792, 11376, 94898, 13595, 10516, 90225, 58943, 39371, 94945, 28587, 96576, 57855, 28488, 26105, 83933, 25858, 34322, 44438, 73171, 30122, 34102, 22685, 71256, 78451, 54364, 13354, 45375, 40558, 56458, 28286, 45266, 47305, 69399, 83921, 26233, 11101, 15371, 69913, 35942, 15882, 25631, 24610, 44165, 99076, 33786, 70738, 26653, 14328, 72305, 62496, 22152, 10144, 64147, 48425, 14663, 21076, 18799, 30450, 63089, 81019, 68893, 24996, 51200, 51211, 45692, 92712, 70466, 79994, 22437, 25280, 38935, 71791, 73134, 56571, 14060, 19505, 72425, 56575, 74351, 68786, 51650, 20004, 18383, 76614, 11634, 18906, 15765, 41368, 73241, 76698, 78567, 97189, 28545, 76231, 75691, 22246, 51061, 90578, 56691, 68014, 51103, 94167, 57047, 14867, 73520, 15734, 63435, 25733, 35474, 24676, 94627, 53535, 17879, 15559, 53268, 59166, 11928, 59402, 33282, 45721, 43933, 68101, 33515, 36634, 71286, 19736, 58058, 55253, 67473, 41918, 19515, 36495, 19430, 22351, 77191, 91393, 49156, 50298, 87501, 18652, 53179, 18767, 63193, 23968, 65164, 68880, 21286, 72823, 58470, 67301, 13394, 31016, 70372, 67030, 40604, 24317, 45748, 39127, 26065, 77721, 31029, 31880, 60576, 24671, 45549, 13376, 50016, 33123, 19769, 22927, 97789, 46081, 72151, 15723, 46136, 51949, 68100, 96888, 64528, 14171, 79777, 28709, 11489, 25103, 32213, 78668, 22245, 15798, 27156, 37930, 62971, 21337, 51622, 67853, 10567, 38415, 15455, 58263, 42029, 60279, 37125, 56240, 88190, 50308, 26859, 64457, 89091, 82136, 62377, 36233, 63837, 58078, 17043, 30010, 60099, 28810, 98025, 29178, 87343, 73273, 30469, 64034, 39516, 86057, 21309, 90257, 67875, 40162, 11356, 73650, 61810, 72013, 30431, 22461, 19512, 13375, 55307, 30625, 83849, 68908, 26689, 96451, 38193, 46820, 88885, 84935, 69035, 83144, 47537, 56616, 94983, 48033, 69952, 25486, 61547, 27385, 61860, 58048, 56910, 16807, 17871, 35258, 31387, 35458, 35576])
                └──────────────────────────────────────────────────
                ┌───── Stage 3 ── Tasks: t0:[p0..p2] t1:[p0..p2] t2:[p0..p2] t3:[p0..p2]
                │ RepartitionExec: partitioning=Hash([ca_zip@0], 3), input_partitions=3
                │   AggregateExec: mode=Partial, gby=[ca_zip@0 as ca_zip], aggr=[count(Int64(1))]
                │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(c_current_addr_sk@0, ca_address_sk@0)], projection=[ca_zip@2]
                │       CoalescePartitionsExec
                │         [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
                │       RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │         DistributedLeafExec:
                │           t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_zip], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │           t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_zip], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │           t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_zip], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │           t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_zip], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                └──────────────────────────────────────────────────
                  ┌───── Stage 2 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                  │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                  │   FilterExec: c_preferred_cust_flag@1 = Y, projection=[c_current_addr_sk@0]
                  │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                  │       DistributedLeafExec:
                  │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_current_addr_sk, c_preferred_cust_flag], file_type=parquet, predicate=c_preferred_cust_flag@10 = Y, pruning_predicate=c_preferred_cust_flag_null_count@2 != row_count@3 AND c_preferred_cust_flag_min@0 <= Y AND Y <= c_preferred_cust_flag_max@1, required_guarantees=[c_preferred_cust_flag in (Y)]
                  │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_current_addr_sk, c_preferred_cust_flag], file_type=parquet, predicate=c_preferred_cust_flag@10 = Y, pruning_predicate=c_preferred_cust_flag_null_count@2 != row_count@3 AND c_preferred_cust_flag_min@0 <= Y AND Y <= c_preferred_cust_flag_max@1, required_guarantees=[c_preferred_cust_flag in (Y)]
                  │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_current_addr_sk, c_preferred_cust_flag], file_type=parquet, predicate=c_preferred_cust_flag@10 = Y, pruning_predicate=c_preferred_cust_flag_null_count@2 != row_count@3 AND c_preferred_cust_flag_min@0 <= Y AND Y <= c_preferred_cust_flag_max@1, required_guarantees=[c_preferred_cust_flag in (Y)]
                  │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_current_addr_sk, c_preferred_cust_flag], file_type=parquet, predicate=c_preferred_cust_flag@10 = Y, pruning_predicate=c_preferred_cust_flag_null_count@2 != row_count@3 AND c_preferred_cust_flag_min@0 <= Y AND Y <= c_preferred_cust_flag_max@1, required_guarantees=[c_preferred_cust_flag in (Y)]
                  └──────────────────────────────────────────────────
              ┌───── Stage 5 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name, s_zip], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name, s_zip], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name, s_zip], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name, s_zip], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
              ┌───── Stage 6 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_qoy@2 = 2 AND d_year@1 = 1998, projection=[d_date_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_qoy], file_type=parquet, predicate=d_qoy@10 = 2 AND d_year@6 = 1998, pruning_predicate=d_qoy_null_count@2 != row_count@3 AND d_qoy_min@0 <= 2 AND 2 <= d_qoy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 1998 AND 1998 <= d_year_max@5, required_guarantees=[d_qoy in (2), d_year in (1998)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_qoy], file_type=parquet, predicate=d_qoy@10 = 2 AND d_year@6 = 1998, pruning_predicate=d_qoy_null_count@2 != row_count@3 AND d_qoy_min@0 <= 2 AND 2 <= d_qoy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 1998 AND 1998 <= d_year_max@5, required_guarantees=[d_qoy in (2), d_year in (1998)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_qoy], file_type=parquet, predicate=d_qoy@10 = 2 AND d_year@6 = 1998, pruning_predicate=d_qoy_null_count@2 != row_count@3 AND d_qoy_min@0 <= 2 AND 2 <= d_qoy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 1998 AND 1998 <= d_year_max@5, required_guarantees=[d_qoy in (2), d_year in (1998)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_qoy], file_type=parquet, predicate=d_qoy@10 = 2 AND d_year@6 = 1998, pruning_predicate=d_qoy_null_count@2 != row_count@3 AND d_qoy_min@0 <= 2 AND 2 <= d_qoy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 1998 AND 1998 <= d_year_max@5, required_guarantees=[d_qoy in (2), d_year in (1998)]
              └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_9() -> Result<()> {
        let display = test_tpcds_query("q9").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ CoalescePartitionsExec
        │   ProjectionExec: expr=[CASE WHEN count(*)@0 > 74129 THEN avg(store_sales.ss_ext_discount_amt)@1 ELSE avg(store_sales.ss_net_paid)@2 END as bucket1, CASE WHEN count(*)@3 > 122840 THEN avg(store_sales.ss_ext_discount_amt)@4 ELSE avg(store_sales.ss_net_paid)@5 END as bucket2, CASE WHEN count(*)@6 > 56580 THEN avg(store_sales.ss_ext_discount_amt)@7 ELSE avg(store_sales.ss_net_paid)@8 END as bucket3, CASE WHEN count(*)@9 > 10097 THEN avg(store_sales.ss_ext_discount_amt)@10 ELSE avg(store_sales.ss_net_paid)@11 END as bucket4, CASE WHEN count(*)@12 > 165306 THEN avg(store_sales.ss_ext_discount_amt)@13 ELSE avg(store_sales.ss_net_paid)@14 END as bucket5]
        │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=1
        │       NestedLoopJoinExec: join_type=Left
        │         NestedLoopJoinExec: join_type=Left
        │           NestedLoopJoinExec: join_type=Left
        │             NestedLoopJoinExec: join_type=Left
        │               NestedLoopJoinExec: join_type=Left
        │                 NestedLoopJoinExec: join_type=Left
        │                   NestedLoopJoinExec: join_type=Left
        │                     NestedLoopJoinExec: join_type=Left
        │                       NestedLoopJoinExec: join_type=Left
        │                         NestedLoopJoinExec: join_type=Left
        │                           NestedLoopJoinExec: join_type=Left
        │                             NestedLoopJoinExec: join_type=Left
        │                               NestedLoopJoinExec: join_type=Left
        │                                 NestedLoopJoinExec: join_type=Left
        │                                   NestedLoopJoinExec: join_type=Left
        │                                     CoalescePartitionsExec
        │                                       [Stage 1] => NetworkCoalesceExec: output_partitions=12, input_tasks=4
        │                                     ProjectionExec: expr=[count(Int64(1))@0 as count(*)]
        │                                       AggregateExec: mode=Final, gby=[], aggr=[count(Int64(1))]
        │                                         CoalescePartitionsExec
        │                                           [Stage 2] => NetworkCoalesceExec: output_partitions=12, input_tasks=4
        │                                   AggregateExec: mode=Final, gby=[], aggr=[avg(store_sales.ss_ext_discount_amt)]
        │                                     CoalescePartitionsExec
        │                                       [Stage 3] => NetworkCoalesceExec: output_partitions=12, input_tasks=4
        │                                 AggregateExec: mode=Final, gby=[], aggr=[avg(store_sales.ss_net_paid)]
        │                                   CoalescePartitionsExec
        │                                     [Stage 4] => NetworkCoalesceExec: output_partitions=12, input_tasks=4
        │                               ProjectionExec: expr=[count(Int64(1))@0 as count(*)]
        │                                 AggregateExec: mode=Final, gby=[], aggr=[count(Int64(1))]
        │                                   CoalescePartitionsExec
        │                                     [Stage 5] => NetworkCoalesceExec: output_partitions=12, input_tasks=4
        │                             AggregateExec: mode=Final, gby=[], aggr=[avg(store_sales.ss_ext_discount_amt)]
        │                               CoalescePartitionsExec
        │                                 [Stage 6] => NetworkCoalesceExec: output_partitions=12, input_tasks=4
        │                           AggregateExec: mode=Final, gby=[], aggr=[avg(store_sales.ss_net_paid)]
        │                             CoalescePartitionsExec
        │                               [Stage 7] => NetworkCoalesceExec: output_partitions=12, input_tasks=4
        │                         ProjectionExec: expr=[count(Int64(1))@0 as count(*)]
        │                           AggregateExec: mode=Final, gby=[], aggr=[count(Int64(1))]
        │                             CoalescePartitionsExec
        │                               [Stage 8] => NetworkCoalesceExec: output_partitions=12, input_tasks=4
        │                       AggregateExec: mode=Final, gby=[], aggr=[avg(store_sales.ss_ext_discount_amt)]
        │                         CoalescePartitionsExec
        │                           [Stage 9] => NetworkCoalesceExec: output_partitions=12, input_tasks=4
        │                     AggregateExec: mode=Final, gby=[], aggr=[avg(store_sales.ss_net_paid)]
        │                       CoalescePartitionsExec
        │                         [Stage 10] => NetworkCoalesceExec: output_partitions=12, input_tasks=4
        │                   ProjectionExec: expr=[count(Int64(1))@0 as count(*)]
        │                     AggregateExec: mode=Final, gby=[], aggr=[count(Int64(1))]
        │                       CoalescePartitionsExec
        │                         [Stage 11] => NetworkCoalesceExec: output_partitions=12, input_tasks=4
        │                 AggregateExec: mode=Final, gby=[], aggr=[avg(store_sales.ss_ext_discount_amt)]
        │                   CoalescePartitionsExec
        │                     [Stage 12] => NetworkCoalesceExec: output_partitions=12, input_tasks=4
        │               AggregateExec: mode=Final, gby=[], aggr=[avg(store_sales.ss_net_paid)]
        │                 CoalescePartitionsExec
        │                   [Stage 13] => NetworkCoalesceExec: output_partitions=12, input_tasks=4
        │             ProjectionExec: expr=[count(Int64(1))@0 as count(*)]
        │               AggregateExec: mode=Final, gby=[], aggr=[count(Int64(1))]
        │                 CoalescePartitionsExec
        │                   [Stage 14] => NetworkCoalesceExec: output_partitions=12, input_tasks=4
        │           AggregateExec: mode=Final, gby=[], aggr=[avg(store_sales.ss_ext_discount_amt)]
        │             CoalescePartitionsExec
        │               [Stage 15] => NetworkCoalesceExec: output_partitions=12, input_tasks=4
        │         AggregateExec: mode=Final, gby=[], aggr=[avg(store_sales.ss_net_paid)]
        │           CoalescePartitionsExec
        │             [Stage 16] => NetworkCoalesceExec: output_partitions=12, input_tasks=4
        └──────────────────────────────────────────────────
          ┌───── Stage 1 ── Tasks: t0:[p0..p2] t1:[p3..p5] t2:[p6..p8] t3:[p9..p11]
          │ FilterExec: r_reason_sk@0 = 1, projection=[]
          │   RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
          │     DistributedLeafExec:
          │       t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/reason/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/reason/part-0.parquet:<int>..<int>]]}, projection=[r_reason_sk], file_type=parquet, predicate=r_reason_sk@0 = 1, pruning_predicate=r_reason_sk_null_count@2 != row_count@3 AND r_reason_sk_min@0 <= 1 AND 1 <= r_reason_sk_max@1, required_guarantees=[r_reason_sk in (1)]
          │       t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/reason/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/reason/part-0.parquet:<int>..<int>]]}, projection=[r_reason_sk], file_type=parquet, predicate=r_reason_sk@0 = 1, pruning_predicate=r_reason_sk_null_count@2 != row_count@3 AND r_reason_sk_min@0 <= 1 AND 1 <= r_reason_sk_max@1, required_guarantees=[r_reason_sk in (1)]
          │       t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/reason/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/reason/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/reason/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/reason/part-2.parquet:<int>..<int>]]}, projection=[r_reason_sk], file_type=parquet, predicate=r_reason_sk@0 = 1, pruning_predicate=r_reason_sk_null_count@2 != row_count@3 AND r_reason_sk_min@0 <= 1 AND 1 <= r_reason_sk_max@1, required_guarantees=[r_reason_sk in (1)]
          │       t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/reason/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/reason/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/reason/part-3.parquet:<int>..<int>]]}, projection=[r_reason_sk], file_type=parquet, predicate=r_reason_sk@0 = 1, pruning_predicate=r_reason_sk_null_count@2 != row_count@3 AND r_reason_sk_min@0 <= 1 AND 1 <= r_reason_sk_max@1, required_guarantees=[r_reason_sk in (1)]
          └──────────────────────────────────────────────────
          ┌───── Stage 2 ── Tasks: t0:[p0..p2] t1:[p3..p5] t2:[p6..p8] t3:[p9..p11]
          │ AggregateExec: mode=Partial, gby=[], aggr=[count(Int64(1))]
          │   FilterExec: ss_quantity@0 >= 1 AND ss_quantity@0 <= 20, projection=[]
          │     DistributedLeafExec:
          │       t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_quantity], file_type=parquet, predicate=ss_quantity@10 >= 1 AND ss_quantity@10 <= 20, pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 1 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 20, required_guarantees=[]
          │       t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_quantity], file_type=parquet, predicate=ss_quantity@10 >= 1 AND ss_quantity@10 <= 20, pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 1 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 20, required_guarantees=[]
          │       t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_quantity], file_type=parquet, predicate=ss_quantity@10 >= 1 AND ss_quantity@10 <= 20, pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 1 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 20, required_guarantees=[]
          │       t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_quantity], file_type=parquet, predicate=ss_quantity@10 >= 1 AND ss_quantity@10 <= 20, pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 1 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 20, required_guarantees=[]
          └──────────────────────────────────────────────────
          ┌───── Stage 3 ── Tasks: t0:[p0..p2] t1:[p3..p5] t2:[p6..p8] t3:[p9..p11]
          │ AggregateExec: mode=Partial, gby=[], aggr=[avg(store_sales.ss_ext_discount_amt)]
          │   FilterExec: ss_quantity@0 >= 1 AND ss_quantity@0 <= 20, projection=[ss_ext_discount_amt@1]
          │     DistributedLeafExec:
          │       t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_quantity, ss_ext_discount_amt], file_type=parquet, predicate=ss_quantity@10 >= 1 AND ss_quantity@10 <= 20, pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 1 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 20, required_guarantees=[]
          │       t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_quantity, ss_ext_discount_amt], file_type=parquet, predicate=ss_quantity@10 >= 1 AND ss_quantity@10 <= 20, pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 1 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 20, required_guarantees=[]
          │       t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_quantity, ss_ext_discount_amt], file_type=parquet, predicate=ss_quantity@10 >= 1 AND ss_quantity@10 <= 20, pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 1 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 20, required_guarantees=[]
          │       t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_quantity, ss_ext_discount_amt], file_type=parquet, predicate=ss_quantity@10 >= 1 AND ss_quantity@10 <= 20, pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 1 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 20, required_guarantees=[]
          └──────────────────────────────────────────────────
          ┌───── Stage 4 ── Tasks: t0:[p0..p2] t1:[p3..p5] t2:[p6..p8] t3:[p9..p11]
          │ AggregateExec: mode=Partial, gby=[], aggr=[avg(store_sales.ss_net_paid)]
          │   FilterExec: ss_quantity@0 >= 1 AND ss_quantity@0 <= 20, projection=[ss_net_paid@1]
          │     DistributedLeafExec:
          │       t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_quantity, ss_net_paid], file_type=parquet, predicate=ss_quantity@10 >= 1 AND ss_quantity@10 <= 20, pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 1 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 20, required_guarantees=[]
          │       t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_quantity, ss_net_paid], file_type=parquet, predicate=ss_quantity@10 >= 1 AND ss_quantity@10 <= 20, pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 1 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 20, required_guarantees=[]
          │       t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_quantity, ss_net_paid], file_type=parquet, predicate=ss_quantity@10 >= 1 AND ss_quantity@10 <= 20, pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 1 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 20, required_guarantees=[]
          │       t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_quantity, ss_net_paid], file_type=parquet, predicate=ss_quantity@10 >= 1 AND ss_quantity@10 <= 20, pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 1 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 20, required_guarantees=[]
          └──────────────────────────────────────────────────
          ┌───── Stage 5 ── Tasks: t0:[p0..p2] t1:[p3..p5] t2:[p6..p8] t3:[p9..p11]
          │ AggregateExec: mode=Partial, gby=[], aggr=[count(Int64(1))]
          │   FilterExec: ss_quantity@0 >= 21 AND ss_quantity@0 <= 40, projection=[]
          │     DistributedLeafExec:
          │       t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_quantity], file_type=parquet, predicate=ss_quantity@10 >= 21 AND ss_quantity@10 <= 40, pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 21 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 40, required_guarantees=[]
          │       t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_quantity], file_type=parquet, predicate=ss_quantity@10 >= 21 AND ss_quantity@10 <= 40, pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 21 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 40, required_guarantees=[]
          │       t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_quantity], file_type=parquet, predicate=ss_quantity@10 >= 21 AND ss_quantity@10 <= 40, pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 21 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 40, required_guarantees=[]
          │       t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_quantity], file_type=parquet, predicate=ss_quantity@10 >= 21 AND ss_quantity@10 <= 40, pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 21 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 40, required_guarantees=[]
          └──────────────────────────────────────────────────
          ┌───── Stage 6 ── Tasks: t0:[p0..p2] t1:[p3..p5] t2:[p6..p8] t3:[p9..p11]
          │ AggregateExec: mode=Partial, gby=[], aggr=[avg(store_sales.ss_ext_discount_amt)]
          │   FilterExec: ss_quantity@0 >= 21 AND ss_quantity@0 <= 40, projection=[ss_ext_discount_amt@1]
          │     DistributedLeafExec:
          │       t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_quantity, ss_ext_discount_amt], file_type=parquet, predicate=ss_quantity@10 >= 21 AND ss_quantity@10 <= 40, pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 21 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 40, required_guarantees=[]
          │       t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_quantity, ss_ext_discount_amt], file_type=parquet, predicate=ss_quantity@10 >= 21 AND ss_quantity@10 <= 40, pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 21 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 40, required_guarantees=[]
          │       t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_quantity, ss_ext_discount_amt], file_type=parquet, predicate=ss_quantity@10 >= 21 AND ss_quantity@10 <= 40, pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 21 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 40, required_guarantees=[]
          │       t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_quantity, ss_ext_discount_amt], file_type=parquet, predicate=ss_quantity@10 >= 21 AND ss_quantity@10 <= 40, pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 21 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 40, required_guarantees=[]
          └──────────────────────────────────────────────────
          ┌───── Stage 7 ── Tasks: t0:[p0..p2] t1:[p3..p5] t2:[p6..p8] t3:[p9..p11]
          │ AggregateExec: mode=Partial, gby=[], aggr=[avg(store_sales.ss_net_paid)]
          │   FilterExec: ss_quantity@0 >= 21 AND ss_quantity@0 <= 40, projection=[ss_net_paid@1]
          │     DistributedLeafExec:
          │       t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_quantity, ss_net_paid], file_type=parquet, predicate=ss_quantity@10 >= 21 AND ss_quantity@10 <= 40, pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 21 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 40, required_guarantees=[]
          │       t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_quantity, ss_net_paid], file_type=parquet, predicate=ss_quantity@10 >= 21 AND ss_quantity@10 <= 40, pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 21 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 40, required_guarantees=[]
          │       t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_quantity, ss_net_paid], file_type=parquet, predicate=ss_quantity@10 >= 21 AND ss_quantity@10 <= 40, pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 21 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 40, required_guarantees=[]
          │       t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_quantity, ss_net_paid], file_type=parquet, predicate=ss_quantity@10 >= 21 AND ss_quantity@10 <= 40, pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 21 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 40, required_guarantees=[]
          └──────────────────────────────────────────────────
          ┌───── Stage 8 ── Tasks: t0:[p0..p2] t1:[p3..p5] t2:[p6..p8] t3:[p9..p11]
          │ AggregateExec: mode=Partial, gby=[], aggr=[count(Int64(1))]
          │   FilterExec: ss_quantity@0 >= 41 AND ss_quantity@0 <= 60, projection=[]
          │     DistributedLeafExec:
          │       t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_quantity], file_type=parquet, predicate=ss_quantity@10 >= 41 AND ss_quantity@10 <= 60, pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 41 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 60, required_guarantees=[]
          │       t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_quantity], file_type=parquet, predicate=ss_quantity@10 >= 41 AND ss_quantity@10 <= 60, pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 41 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 60, required_guarantees=[]
          │       t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_quantity], file_type=parquet, predicate=ss_quantity@10 >= 41 AND ss_quantity@10 <= 60, pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 41 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 60, required_guarantees=[]
          │       t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_quantity], file_type=parquet, predicate=ss_quantity@10 >= 41 AND ss_quantity@10 <= 60, pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 41 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 60, required_guarantees=[]
          └──────────────────────────────────────────────────
          ┌───── Stage 9 ── Tasks: t0:[p0..p2] t1:[p3..p5] t2:[p6..p8] t3:[p9..p11]
          │ AggregateExec: mode=Partial, gby=[], aggr=[avg(store_sales.ss_ext_discount_amt)]
          │   FilterExec: ss_quantity@0 >= 41 AND ss_quantity@0 <= 60, projection=[ss_ext_discount_amt@1]
          │     DistributedLeafExec:
          │       t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_quantity, ss_ext_discount_amt], file_type=parquet, predicate=ss_quantity@10 >= 41 AND ss_quantity@10 <= 60, pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 41 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 60, required_guarantees=[]
          │       t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_quantity, ss_ext_discount_amt], file_type=parquet, predicate=ss_quantity@10 >= 41 AND ss_quantity@10 <= 60, pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 41 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 60, required_guarantees=[]
          │       t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_quantity, ss_ext_discount_amt], file_type=parquet, predicate=ss_quantity@10 >= 41 AND ss_quantity@10 <= 60, pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 41 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 60, required_guarantees=[]
          │       t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_quantity, ss_ext_discount_amt], file_type=parquet, predicate=ss_quantity@10 >= 41 AND ss_quantity@10 <= 60, pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 41 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 60, required_guarantees=[]
          └──────────────────────────────────────────────────
          ┌───── Stage 10 ── Tasks: t0:[p0..p2] t1:[p3..p5] t2:[p6..p8] t3:[p9..p11]
          │ AggregateExec: mode=Partial, gby=[], aggr=[avg(store_sales.ss_net_paid)]
          │   FilterExec: ss_quantity@0 >= 41 AND ss_quantity@0 <= 60, projection=[ss_net_paid@1]
          │     DistributedLeafExec:
          │       t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_quantity, ss_net_paid], file_type=parquet, predicate=ss_quantity@10 >= 41 AND ss_quantity@10 <= 60, pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 41 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 60, required_guarantees=[]
          │       t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_quantity, ss_net_paid], file_type=parquet, predicate=ss_quantity@10 >= 41 AND ss_quantity@10 <= 60, pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 41 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 60, required_guarantees=[]
          │       t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_quantity, ss_net_paid], file_type=parquet, predicate=ss_quantity@10 >= 41 AND ss_quantity@10 <= 60, pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 41 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 60, required_guarantees=[]
          │       t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_quantity, ss_net_paid], file_type=parquet, predicate=ss_quantity@10 >= 41 AND ss_quantity@10 <= 60, pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 41 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 60, required_guarantees=[]
          └──────────────────────────────────────────────────
          ┌───── Stage 11 ── Tasks: t0:[p0..p2] t1:[p3..p5] t2:[p6..p8] t3:[p9..p11]
          │ AggregateExec: mode=Partial, gby=[], aggr=[count(Int64(1))]
          │   FilterExec: ss_quantity@0 >= 61 AND ss_quantity@0 <= 80, projection=[]
          │     DistributedLeafExec:
          │       t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_quantity], file_type=parquet, predicate=ss_quantity@10 >= 61 AND ss_quantity@10 <= 80, pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 61 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 80, required_guarantees=[]
          │       t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_quantity], file_type=parquet, predicate=ss_quantity@10 >= 61 AND ss_quantity@10 <= 80, pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 61 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 80, required_guarantees=[]
          │       t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_quantity], file_type=parquet, predicate=ss_quantity@10 >= 61 AND ss_quantity@10 <= 80, pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 61 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 80, required_guarantees=[]
          │       t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_quantity], file_type=parquet, predicate=ss_quantity@10 >= 61 AND ss_quantity@10 <= 80, pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 61 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 80, required_guarantees=[]
          └──────────────────────────────────────────────────
          ┌───── Stage 12 ── Tasks: t0:[p0..p2] t1:[p3..p5] t2:[p6..p8] t3:[p9..p11]
          │ AggregateExec: mode=Partial, gby=[], aggr=[avg(store_sales.ss_ext_discount_amt)]
          │   FilterExec: ss_quantity@0 >= 61 AND ss_quantity@0 <= 80, projection=[ss_ext_discount_amt@1]
          │     DistributedLeafExec:
          │       t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_quantity, ss_ext_discount_amt], file_type=parquet, predicate=ss_quantity@10 >= 61 AND ss_quantity@10 <= 80, pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 61 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 80, required_guarantees=[]
          │       t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_quantity, ss_ext_discount_amt], file_type=parquet, predicate=ss_quantity@10 >= 61 AND ss_quantity@10 <= 80, pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 61 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 80, required_guarantees=[]
          │       t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_quantity, ss_ext_discount_amt], file_type=parquet, predicate=ss_quantity@10 >= 61 AND ss_quantity@10 <= 80, pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 61 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 80, required_guarantees=[]
          │       t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_quantity, ss_ext_discount_amt], file_type=parquet, predicate=ss_quantity@10 >= 61 AND ss_quantity@10 <= 80, pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 61 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 80, required_guarantees=[]
          └──────────────────────────────────────────────────
          ┌───── Stage 13 ── Tasks: t0:[p0..p2] t1:[p3..p5] t2:[p6..p8] t3:[p9..p11]
          │ AggregateExec: mode=Partial, gby=[], aggr=[avg(store_sales.ss_net_paid)]
          │   FilterExec: ss_quantity@0 >= 61 AND ss_quantity@0 <= 80, projection=[ss_net_paid@1]
          │     DistributedLeafExec:
          │       t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_quantity, ss_net_paid], file_type=parquet, predicate=ss_quantity@10 >= 61 AND ss_quantity@10 <= 80, pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 61 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 80, required_guarantees=[]
          │       t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_quantity, ss_net_paid], file_type=parquet, predicate=ss_quantity@10 >= 61 AND ss_quantity@10 <= 80, pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 61 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 80, required_guarantees=[]
          │       t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_quantity, ss_net_paid], file_type=parquet, predicate=ss_quantity@10 >= 61 AND ss_quantity@10 <= 80, pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 61 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 80, required_guarantees=[]
          │       t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_quantity, ss_net_paid], file_type=parquet, predicate=ss_quantity@10 >= 61 AND ss_quantity@10 <= 80, pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 61 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 80, required_guarantees=[]
          └──────────────────────────────────────────────────
          ┌───── Stage 14 ── Tasks: t0:[p0..p2] t1:[p3..p5] t2:[p6..p8] t3:[p9..p11]
          │ AggregateExec: mode=Partial, gby=[], aggr=[count(Int64(1))]
          │   FilterExec: ss_quantity@0 >= 81 AND ss_quantity@0 <= 100, projection=[]
          │     DistributedLeafExec:
          │       t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_quantity], file_type=parquet, predicate=ss_quantity@10 >= 81 AND ss_quantity@10 <= 100, pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 81 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 100, required_guarantees=[]
          │       t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_quantity], file_type=parquet, predicate=ss_quantity@10 >= 81 AND ss_quantity@10 <= 100, pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 81 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 100, required_guarantees=[]
          │       t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_quantity], file_type=parquet, predicate=ss_quantity@10 >= 81 AND ss_quantity@10 <= 100, pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 81 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 100, required_guarantees=[]
          │       t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_quantity], file_type=parquet, predicate=ss_quantity@10 >= 81 AND ss_quantity@10 <= 100, pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 81 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 100, required_guarantees=[]
          └──────────────────────────────────────────────────
          ┌───── Stage 15 ── Tasks: t0:[p0..p2] t1:[p3..p5] t2:[p6..p8] t3:[p9..p11]
          │ AggregateExec: mode=Partial, gby=[], aggr=[avg(store_sales.ss_ext_discount_amt)]
          │   FilterExec: ss_quantity@0 >= 81 AND ss_quantity@0 <= 100, projection=[ss_ext_discount_amt@1]
          │     DistributedLeafExec:
          │       t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_quantity, ss_ext_discount_amt], file_type=parquet, predicate=ss_quantity@10 >= 81 AND ss_quantity@10 <= 100, pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 81 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 100, required_guarantees=[]
          │       t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_quantity, ss_ext_discount_amt], file_type=parquet, predicate=ss_quantity@10 >= 81 AND ss_quantity@10 <= 100, pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 81 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 100, required_guarantees=[]
          │       t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_quantity, ss_ext_discount_amt], file_type=parquet, predicate=ss_quantity@10 >= 81 AND ss_quantity@10 <= 100, pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 81 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 100, required_guarantees=[]
          │       t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_quantity, ss_ext_discount_amt], file_type=parquet, predicate=ss_quantity@10 >= 81 AND ss_quantity@10 <= 100, pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 81 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 100, required_guarantees=[]
          └──────────────────────────────────────────────────
          ┌───── Stage 16 ── Tasks: t0:[p0..p2] t1:[p3..p5] t2:[p6..p8] t3:[p9..p11]
          │ AggregateExec: mode=Partial, gby=[], aggr=[avg(store_sales.ss_net_paid)]
          │   FilterExec: ss_quantity@0 >= 81 AND ss_quantity@0 <= 100, projection=[ss_net_paid@1]
          │     DistributedLeafExec:
          │       t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_quantity, ss_net_paid], file_type=parquet, predicate=ss_quantity@10 >= 81 AND ss_quantity@10 <= 100, pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 81 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 100, required_guarantees=[]
          │       t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_quantity, ss_net_paid], file_type=parquet, predicate=ss_quantity@10 >= 81 AND ss_quantity@10 <= 100, pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 81 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 100, required_guarantees=[]
          │       t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_quantity, ss_net_paid], file_type=parquet, predicate=ss_quantity@10 >= 81 AND ss_quantity@10 <= 100, pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 81 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 100, required_guarantees=[]
          │       t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_quantity, ss_net_paid], file_type=parquet, predicate=ss_quantity@10 >= 81 AND ss_quantity@10 <= 100, pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 81 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 100, required_guarantees=[]
          └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_10() -> Result<()> {
        let display = test_tpcds_query("q10").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [cd_gender@0 ASC NULLS LAST, cd_marital_status@1 ASC NULLS LAST, cd_education_status@2 ASC NULLS LAST, cd_purchase_estimate@4 ASC NULLS LAST, cd_credit_rating@6 ASC NULLS LAST, cd_dep_count@8 ASC NULLS LAST, cd_dep_employed_count@10 ASC NULLS LAST, cd_dep_college_count@12 ASC NULLS LAST], fetch=100
        │   SortExec: TopK(fetch=100), expr=[cd_gender@0 ASC NULLS LAST, cd_marital_status@1 ASC NULLS LAST, cd_education_status@2 ASC NULLS LAST, cd_purchase_estimate@4 ASC NULLS LAST, cd_credit_rating@6 ASC NULLS LAST, cd_dep_count@8 ASC NULLS LAST, cd_dep_employed_count@10 ASC NULLS LAST, cd_dep_college_count@12 ASC NULLS LAST], preserve_partitioning=[true]
        │     ProjectionExec: expr=[cd_gender@0 as cd_gender, cd_marital_status@1 as cd_marital_status, cd_education_status@2 as cd_education_status, count(Int64(1))@8 as cnt1, cd_purchase_estimate@3 as cd_purchase_estimate, count(Int64(1))@8 as cnt2, cd_credit_rating@4 as cd_credit_rating, count(Int64(1))@8 as cnt3, cd_dep_count@5 as cd_dep_count, count(Int64(1))@8 as cnt4, cd_dep_employed_count@6 as cd_dep_employed_count, count(Int64(1))@8 as cnt5, cd_dep_college_count@7 as cd_dep_college_count, count(Int64(1))@8 as cnt6]
        │       AggregateExec: mode=FinalPartitioned, gby=[cd_gender@0 as cd_gender, cd_marital_status@1 as cd_marital_status, cd_education_status@2 as cd_education_status, cd_purchase_estimate@3 as cd_purchase_estimate, cd_credit_rating@4 as cd_credit_rating, cd_dep_count@5 as cd_dep_count, cd_dep_employed_count@6 as cd_dep_employed_count, cd_dep_college_count@7 as cd_dep_college_count], aggr=[count(Int64(1))]
        │         RepartitionExec: partitioning=Hash([cd_gender@0, cd_marital_status@1, cd_education_status@2, cd_purchase_estimate@3, cd_credit_rating@4, cd_dep_count@5, cd_dep_employed_count@6, cd_dep_college_count@7], 3), input_partitions=3
        │           AggregateExec: mode=Partial, gby=[cd_gender@0 as cd_gender, cd_marital_status@1 as cd_marital_status, cd_education_status@2 as cd_education_status, cd_purchase_estimate@3 as cd_purchase_estimate, cd_credit_rating@4 as cd_credit_rating, cd_dep_count@5 as cd_dep_count, cd_dep_employed_count@6 as cd_dep_employed_count, cd_dep_college_count@7 as cd_dep_college_count], aggr=[count(Int64(1))]
        │             FilterExec: mark@8 OR mark@9, projection=[cd_gender@0, cd_marital_status@1, cd_education_status@2, cd_purchase_estimate@3, cd_credit_rating@4, cd_dep_count@5, cd_dep_employed_count@6, cd_dep_college_count@7]
        │               HashJoinExec: mode=CollectLeft, join_type=LeftMark, on=[(c_customer_sk@0, cs_ship_customer_sk@0)], projection=[cd_gender@1, cd_marital_status@2, cd_education_status@3, cd_purchase_estimate@4, cd_credit_rating@5, cd_dep_count@6, cd_dep_employed_count@7, cd_dep_college_count@8, mark@9, mark@10]
        │                 CoalescePartitionsExec
        │                   HashJoinExec: mode=CollectLeft, join_type=LeftMark, on=[(c_customer_sk@0, ws_bill_customer_sk@0)]
        │                     CoalescePartitionsExec
        │                       HashJoinExec: mode=CollectLeft, join_type=LeftSemi, on=[(c_customer_sk@0, ss_customer_sk@0)]
        │                         CoalescePartitionsExec
        │                           [Stage 3] => NetworkCoalesceExec: output_partitions=12, input_tasks=4
        │                         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[ss_customer_sk@2]
        │                           CoalescePartitionsExec
        │                             [Stage 4] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=3, input_tasks=4
        │                           DistributedLeafExec:
        │                             t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_customer_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
        │                     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ws_sold_date_sk@0)], projection=[ws_bill_customer_sk@2]
        │                       CoalescePartitionsExec
        │                         [Stage 5] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=3, input_tasks=4
        │                       DistributedLeafExec:
        │                         t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_bill_customer_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
        │                 HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, cs_sold_date_sk@0)], projection=[cs_ship_customer_sk@2]
        │                   CoalescePartitionsExec
        │                     [Stage 6] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=3, input_tasks=4
        │                   DistributedLeafExec:
        │                     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_ship_customer_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
        └──────────────────────────────────────────────────
          ┌───── Stage 3 ── Tasks: t0:[p0..p2] t1:[p3..p5] t2:[p6..p8] t3:[p9..p11]
          │ HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(c_current_cdemo_sk@1, cd_demo_sk@0)], projection=[c_customer_sk@0, cd_gender@3, cd_marital_status@4, cd_education_status@5, cd_purchase_estimate@6, cd_credit_rating@7, cd_dep_count@8, cd_dep_employed_count@9, cd_dep_college_count@10]
          │   CoalescePartitionsExec
          │     [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
          │   DistributedLeafExec:
          │     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_gender, cd_marital_status, cd_education_status, cd_purchase_estimate, cd_credit_rating, cd_dep_count, cd_dep_employed_count, cd_dep_college_count], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          │     t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-3.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_gender, cd_marital_status, cd_education_status, cd_purchase_estimate, cd_credit_rating, cd_dep_count, cd_dep_employed_count, cd_dep_college_count], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          │     t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-3.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_gender, cd_marital_status, cd_education_status, cd_purchase_estimate, cd_credit_rating, cd_dep_count, cd_dep_employed_count, cd_dep_college_count], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          │     t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-3.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_gender, cd_marital_status, cd_education_status, cd_purchase_estimate, cd_credit_rating, cd_dep_count, cd_dep_employed_count, cd_dep_college_count], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          └──────────────────────────────────────────────────
            ┌───── Stage 2 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(ca_address_sk@0, c_current_addr_sk@2)], projection=[c_customer_sk@1, c_current_cdemo_sk@2]
            │     CoalescePartitionsExec
            │       [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_cdemo_sk, c_current_addr_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
            │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_cdemo_sk, c_current_addr_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
            │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_cdemo_sk, c_current_addr_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
            │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_cdemo_sk, c_current_addr_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 1 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: ca_county@1 IN (SET) ([Rush County, Toole County, Jefferson County, Dona Ana County, La Porte County]), projection=[ca_address_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_county], file_type=parquet, predicate=ca_county@7 IN (SET) ([Rush County, Toole County, Jefferson County, Dona Ana County, La Porte County]), pruning_predicate=ca_county_null_count@2 != row_count@3 AND ca_county_min@0 <= Rush County AND Rush County <= ca_county_max@1 OR ca_county_null_count@2 != row_count@3 AND ca_county_min@0 <= Toole County AND Toole County <= ca_county_max@1 OR ca_county_null_count@2 != row_count@3 AND ca_county_min@0 <= Jefferson County AND Jefferson County <= ca_county_max@1 OR ca_county_null_count@2 != row_count@3 AND ca_county_min@0 <= Dona Ana County AND Dona Ana County <= ca_county_max@1 OR ca_county_null_count@2 != row_count@3 AND ca_county_min@0 <= La Porte County AND La Porte County <= ca_county_max@1, required_guarantees=[ca_county in (Dona Ana County, Jefferson County, La Porte County, Rush County, Toole County)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_county], file_type=parquet, predicate=ca_county@7 IN (SET) ([Rush County, Toole County, Jefferson County, Dona Ana County, La Porte County]), pruning_predicate=ca_county_null_count@2 != row_count@3 AND ca_county_min@0 <= Rush County AND Rush County <= ca_county_max@1 OR ca_county_null_count@2 != row_count@3 AND ca_county_min@0 <= Toole County AND Toole County <= ca_county_max@1 OR ca_county_null_count@2 != row_count@3 AND ca_county_min@0 <= Jefferson County AND Jefferson County <= ca_county_max@1 OR ca_county_null_count@2 != row_count@3 AND ca_county_min@0 <= Dona Ana County AND Dona Ana County <= ca_county_max@1 OR ca_county_null_count@2 != row_count@3 AND ca_county_min@0 <= La Porte County AND La Porte County <= ca_county_max@1, required_guarantees=[ca_county in (Dona Ana County, Jefferson County, La Porte County, Rush County, Toole County)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_county], file_type=parquet, predicate=ca_county@7 IN (SET) ([Rush County, Toole County, Jefferson County, Dona Ana County, La Porte County]), pruning_predicate=ca_county_null_count@2 != row_count@3 AND ca_county_min@0 <= Rush County AND Rush County <= ca_county_max@1 OR ca_county_null_count@2 != row_count@3 AND ca_county_min@0 <= Toole County AND Toole County <= ca_county_max@1 OR ca_county_null_count@2 != row_count@3 AND ca_county_min@0 <= Jefferson County AND Jefferson County <= ca_county_max@1 OR ca_county_null_count@2 != row_count@3 AND ca_county_min@0 <= Dona Ana County AND Dona Ana County <= ca_county_max@1 OR ca_county_null_count@2 != row_count@3 AND ca_county_min@0 <= La Porte County AND La Porte County <= ca_county_max@1, required_guarantees=[ca_county in (Dona Ana County, Jefferson County, La Porte County, Rush County, Toole County)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_county], file_type=parquet, predicate=ca_county@7 IN (SET) ([Rush County, Toole County, Jefferson County, Dona Ana County, La Porte County]), pruning_predicate=ca_county_null_count@2 != row_count@3 AND ca_county_min@0 <= Rush County AND Rush County <= ca_county_max@1 OR ca_county_null_count@2 != row_count@3 AND ca_county_min@0 <= Toole County AND Toole County <= ca_county_max@1 OR ca_county_null_count@2 != row_count@3 AND ca_county_min@0 <= Jefferson County AND Jefferson County <= ca_county_max@1 OR ca_county_null_count@2 != row_count@3 AND ca_county_min@0 <= Dona Ana County AND Dona Ana County <= ca_county_max@1 OR ca_county_null_count@2 != row_count@3 AND ca_county_min@0 <= La Porte County AND La Porte County <= ca_county_max@1, required_guarantees=[ca_county in (Dona Ana County, Jefferson County, La Porte County, Rush County, Toole County)]
              └──────────────────────────────────────────────────
          ┌───── Stage 4 ── Tasks: t0:[p0..p2] t1:[p3..p5] t2:[p6..p8] t3:[p9..p11]
          │ BroadcastExec: input_partitions=3, consumer_tasks=1, output_partitions=3
          │   FilterExec: d_year@1 = 2002 AND d_moy@2 >= 1 AND d_moy@2 <= 4, projection=[d_date_sk@0]
          │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
          │       DistributedLeafExec:
          │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2002 AND d_moy@8 >= 1 AND d_moy@8 <= 4, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1 AND d_moy_null_count@5 != row_count@3 AND d_moy_max@4 >= 1 AND d_moy_null_count@5 != row_count@3 AND d_moy_min@6 <= 4, required_guarantees=[d_year in (2002)]
          │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2002 AND d_moy@8 >= 1 AND d_moy@8 <= 4, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1 AND d_moy_null_count@5 != row_count@3 AND d_moy_max@4 >= 1 AND d_moy_null_count@5 != row_count@3 AND d_moy_min@6 <= 4, required_guarantees=[d_year in (2002)]
          │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2002 AND d_moy@8 >= 1 AND d_moy@8 <= 4, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1 AND d_moy_null_count@5 != row_count@3 AND d_moy_max@4 >= 1 AND d_moy_null_count@5 != row_count@3 AND d_moy_min@6 <= 4, required_guarantees=[d_year in (2002)]
          │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2002 AND d_moy@8 >= 1 AND d_moy@8 <= 4, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1 AND d_moy_null_count@5 != row_count@3 AND d_moy_max@4 >= 1 AND d_moy_null_count@5 != row_count@3 AND d_moy_min@6 <= 4, required_guarantees=[d_year in (2002)]
          └──────────────────────────────────────────────────
          ┌───── Stage 5 ── Tasks: t0:[p0..p2] t1:[p3..p5] t2:[p6..p8] t3:[p9..p11]
          │ BroadcastExec: input_partitions=3, consumer_tasks=1, output_partitions=3
          │   FilterExec: d_year@1 = 2002 AND d_moy@2 >= 1 AND d_moy@2 <= 4, projection=[d_date_sk@0]
          │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
          │       DistributedLeafExec:
          │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2002 AND d_moy@8 >= 1 AND d_moy@8 <= 4, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1 AND d_moy_null_count@5 != row_count@3 AND d_moy_max@4 >= 1 AND d_moy_null_count@5 != row_count@3 AND d_moy_min@6 <= 4, required_guarantees=[d_year in (2002)]
          │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2002 AND d_moy@8 >= 1 AND d_moy@8 <= 4, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1 AND d_moy_null_count@5 != row_count@3 AND d_moy_max@4 >= 1 AND d_moy_null_count@5 != row_count@3 AND d_moy_min@6 <= 4, required_guarantees=[d_year in (2002)]
          │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2002 AND d_moy@8 >= 1 AND d_moy@8 <= 4, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1 AND d_moy_null_count@5 != row_count@3 AND d_moy_max@4 >= 1 AND d_moy_null_count@5 != row_count@3 AND d_moy_min@6 <= 4, required_guarantees=[d_year in (2002)]
          │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2002 AND d_moy@8 >= 1 AND d_moy@8 <= 4, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1 AND d_moy_null_count@5 != row_count@3 AND d_moy_max@4 >= 1 AND d_moy_null_count@5 != row_count@3 AND d_moy_min@6 <= 4, required_guarantees=[d_year in (2002)]
          └──────────────────────────────────────────────────
          ┌───── Stage 6 ── Tasks: t0:[p0..p2] t1:[p3..p5] t2:[p6..p8] t3:[p9..p11]
          │ BroadcastExec: input_partitions=3, consumer_tasks=1, output_partitions=3
          │   FilterExec: d_year@1 = 2002 AND d_moy@2 >= 1 AND d_moy@2 <= 4, projection=[d_date_sk@0]
          │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
          │       DistributedLeafExec:
          │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2002 AND d_moy@8 >= 1 AND d_moy@8 <= 4, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1 AND d_moy_null_count@5 != row_count@3 AND d_moy_max@4 >= 1 AND d_moy_null_count@5 != row_count@3 AND d_moy_min@6 <= 4, required_guarantees=[d_year in (2002)]
          │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2002 AND d_moy@8 >= 1 AND d_moy@8 <= 4, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1 AND d_moy_null_count@5 != row_count@3 AND d_moy_max@4 >= 1 AND d_moy_null_count@5 != row_count@3 AND d_moy_min@6 <= 4, required_guarantees=[d_year in (2002)]
          │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2002 AND d_moy@8 >= 1 AND d_moy@8 <= 4, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1 AND d_moy_null_count@5 != row_count@3 AND d_moy_max@4 >= 1 AND d_moy_null_count@5 != row_count@3 AND d_moy_min@6 <= 4, required_guarantees=[d_year in (2002)]
          │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2002 AND d_moy@8 >= 1 AND d_moy@8 <= 4, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1 AND d_moy_null_count@5 != row_count@3 AND d_moy_max@4 >= 1 AND d_moy_null_count@5 != row_count@3 AND d_moy_min@6 <= 4, required_guarantees=[d_year in (2002)]
          └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_11() -> Result<()> {
        let display = test_tpcds_query("q11").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [customer_id@0 ASC, customer_first_name@1 ASC, customer_last_name@2 ASC, customer_preferred_cust_flag@3 ASC], fetch=100
        │   [Stage 16] => NetworkCoalesceExec: output_partitions=6, input_tasks=2
        └──────────────────────────────────────────────────
          ┌───── Stage 16 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ SortExec: TopK(fetch=100), expr=[customer_id@0 ASC, customer_first_name@1 ASC, customer_last_name@2 ASC, customer_preferred_cust_flag@3 ASC], preserve_partitioning=[true]
          │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(customer_id@0, customer_id@0)], filter=CASE WHEN year_total@2 > Some(0),18,2 THEN CAST(year_total@3 AS Float64) / CAST(year_total@2 AS Float64) ELSE 0 END > CASE WHEN year_total@0 > Some(0),18,2 THEN CAST(year_total@1 AS Float64) / CAST(year_total@0 AS Float64) ELSE 0 END, projection=[customer_id@2, customer_first_name@3, customer_last_name@4, customer_preferred_cust_flag@5]
          │     CoalescePartitionsExec
          │       [Stage 12] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=6, input_tasks=2
          │     ProjectionExec: expr=[c_customer_id@0 as customer_id, sum(web_sales.ws_ext_list_price - web_sales.ws_ext_discount_amt)@8 as year_total]
          │       AggregateExec: mode=FinalPartitioned, gby=[c_customer_id@0 as c_customer_id, c_first_name@1 as c_first_name, c_last_name@2 as c_last_name, c_preferred_cust_flag@3 as c_preferred_cust_flag, c_birth_country@4 as c_birth_country, c_login@5 as c_login, c_email_address@6 as c_email_address, d_year@7 as d_year], aggr=[sum(web_sales.ws_ext_list_price - web_sales.ws_ext_discount_amt)], ordering_mode=PartiallySorted([7])
          │         [Stage 15] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 12 ── Tasks: t0:[p0..p5] t1:[p6..p11]
            │ BroadcastExec: input_partitions=3, consumer_tasks=2, output_partitions=6
            │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(customer_id@0, customer_id@0)], projection=[customer_id@2, year_total@3, customer_id@4, customer_first_name@5, customer_last_name@6, customer_preferred_cust_flag@7, year_total@8, year_total@1]
            │     CoalescePartitionsExec
            │       [Stage 4] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=6, input_tasks=2
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(customer_id@0, customer_id@0)]
            │       CoalescePartitionsExec
            │         [Stage 8] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=6, input_tasks=2
            │       ProjectionExec: expr=[c_customer_id@0 as customer_id, c_first_name@1 as customer_first_name, c_last_name@2 as customer_last_name, c_preferred_cust_flag@3 as customer_preferred_cust_flag, sum(store_sales.ss_ext_list_price - store_sales.ss_ext_discount_amt)@8 as year_total]
            │         AggregateExec: mode=FinalPartitioned, gby=[c_customer_id@0 as c_customer_id, c_first_name@1 as c_first_name, c_last_name@2 as c_last_name, c_preferred_cust_flag@3 as c_preferred_cust_flag, c_birth_country@4 as c_birth_country, c_login@5 as c_login, c_email_address@6 as c_email_address, d_year@7 as d_year], aggr=[sum(store_sales.ss_ext_list_price - store_sales.ss_ext_discount_amt)], ordering_mode=PartiallySorted([7])
            │           [Stage 11] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            └──────────────────────────────────────────────────
              ┌───── Stage 4 ── Tasks: t0:[p0..p5] t1:[p6..p11]
              │ BroadcastExec: input_partitions=3, consumer_tasks=2, output_partitions=6
              │   ProjectionExec: expr=[c_customer_id@0 as customer_id, sum(web_sales.ws_ext_list_price - web_sales.ws_ext_discount_amt)@1 as year_total]
              │     FilterExec: sum(web_sales.ws_ext_list_price - web_sales.ws_ext_discount_amt)@1 > Some(0),18,2
              │       ProjectionExec: expr=[c_customer_id@0 as c_customer_id, sum(web_sales.ws_ext_list_price - web_sales.ws_ext_discount_amt)@8 as sum(web_sales.ws_ext_list_price - web_sales.ws_ext_discount_amt)]
              │         AggregateExec: mode=FinalPartitioned, gby=[c_customer_id@0 as c_customer_id, c_first_name@1 as c_first_name, c_last_name@2 as c_last_name, c_preferred_cust_flag@3 as c_preferred_cust_flag, c_birth_country@4 as c_birth_country, c_login@5 as c_login, c_email_address@6 as c_email_address, d_year@7 as d_year], aggr=[sum(web_sales.ws_ext_list_price - web_sales.ws_ext_discount_amt)], ordering_mode=PartiallySorted([7])
              │           [Stage 3] => NetworkShuffleExec: output_partitions=3, input_tasks=4
              └──────────────────────────────────────────────────
                ┌───── Stage 3 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
                │ RepartitionExec: partitioning=Hash([c_customer_id@0, c_first_name@1, c_last_name@2, c_preferred_cust_flag@3, c_birth_country@4, c_login@5, c_email_address@6, d_year@7], 6), input_partitions=3
                │   AggregateExec: mode=Partial, gby=[c_customer_id@0 as c_customer_id, c_first_name@1 as c_first_name, c_last_name@2 as c_last_name, c_preferred_cust_flag@3 as c_preferred_cust_flag, c_birth_country@4 as c_birth_country, c_login@5 as c_login, c_email_address@6 as c_email_address, d_year@9 as d_year], aggr=[sum(web_sales.ws_ext_list_price - web_sales.ws_ext_discount_amt)], ordering_mode=PartiallySorted([7])
                │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ws_sold_date_sk@7)], projection=[c_customer_id@2, c_first_name@3, c_last_name@4, c_preferred_cust_flag@5, c_birth_country@6, c_login@7, c_email_address@8, ws_ext_discount_amt@10, ws_ext_list_price@11, d_year@1]
                │       CoalescePartitionsExec
                │         [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
                │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(c_customer_sk@0, ws_bill_customer_sk@1)], projection=[c_customer_id@1, c_first_name@2, c_last_name@3, c_preferred_cust_flag@4, c_birth_country@5, c_login@6, c_email_address@7, ws_sold_date_sk@8, ws_ext_discount_amt@10, ws_ext_list_price@11]
                │         CoalescePartitionsExec
                │           [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
                │         DistributedLeafExec:
                │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_bill_customer_sk, ws_ext_discount_amt, ws_ext_list_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │           t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_bill_customer_sk, ws_ext_discount_amt, ws_ext_list_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │           t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_bill_customer_sk, ws_ext_discount_amt, ws_ext_list_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │           t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_bill_customer_sk, ws_ext_discount_amt, ws_ext_list_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                └──────────────────────────────────────────────────
                  ┌───── Stage 1 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                  │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                  │   FilterExec: d_year@1 = 2001
                  │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                  │       DistributedLeafExec:
                  │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
                  │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
                  │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
                  │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
                  └──────────────────────────────────────────────────
                  ┌───── Stage 2 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                  │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                  │   DistributedLeafExec:
                  │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address], file_type=parquet
                  │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address], file_type=parquet
                  │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address], file_type=parquet
                  │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address], file_type=parquet
                  └──────────────────────────────────────────────────
              ┌───── Stage 8 ── Tasks: t0:[p0..p5] t1:[p6..p11]
              │ BroadcastExec: input_partitions=3, consumer_tasks=2, output_partitions=6
              │   ProjectionExec: expr=[c_customer_id@0 as customer_id, sum(store_sales.ss_ext_list_price - store_sales.ss_ext_discount_amt)@1 as year_total]
              │     FilterExec: sum(store_sales.ss_ext_list_price - store_sales.ss_ext_discount_amt)@1 > Some(0),18,2
              │       ProjectionExec: expr=[c_customer_id@0 as c_customer_id, sum(store_sales.ss_ext_list_price - store_sales.ss_ext_discount_amt)@8 as sum(store_sales.ss_ext_list_price - store_sales.ss_ext_discount_amt)]
              │         AggregateExec: mode=FinalPartitioned, gby=[c_customer_id@0 as c_customer_id, c_first_name@1 as c_first_name, c_last_name@2 as c_last_name, c_preferred_cust_flag@3 as c_preferred_cust_flag, c_birth_country@4 as c_birth_country, c_login@5 as c_login, c_email_address@6 as c_email_address, d_year@7 as d_year], aggr=[sum(store_sales.ss_ext_list_price - store_sales.ss_ext_discount_amt)], ordering_mode=PartiallySorted([7])
              │           [Stage 7] => NetworkShuffleExec: output_partitions=3, input_tasks=4
              └──────────────────────────────────────────────────
                ┌───── Stage 7 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
                │ RepartitionExec: partitioning=Hash([c_customer_id@0, c_first_name@1, c_last_name@2, c_preferred_cust_flag@3, c_birth_country@4, c_login@5, c_email_address@6, d_year@7], 6), input_partitions=3
                │   AggregateExec: mode=Partial, gby=[c_customer_id@0 as c_customer_id, c_first_name@1 as c_first_name, c_last_name@2 as c_last_name, c_preferred_cust_flag@3 as c_preferred_cust_flag, c_birth_country@4 as c_birth_country, c_login@5 as c_login, c_email_address@6 as c_email_address, d_year@9 as d_year], aggr=[sum(store_sales.ss_ext_list_price - store_sales.ss_ext_discount_amt)], ordering_mode=PartiallySorted([7])
                │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@7)], projection=[c_customer_id@2, c_first_name@3, c_last_name@4, c_preferred_cust_flag@5, c_birth_country@6, c_login@7, c_email_address@8, ss_ext_discount_amt@10, ss_ext_list_price@11, d_year@1]
                │       CoalescePartitionsExec
                │         [Stage 5] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
                │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(c_customer_sk@0, ss_customer_sk@1)], projection=[c_customer_id@1, c_first_name@2, c_last_name@3, c_preferred_cust_flag@4, c_birth_country@5, c_login@6, c_email_address@7, ss_sold_date_sk@8, ss_ext_discount_amt@10, ss_ext_list_price@11]
                │         CoalescePartitionsExec
                │           [Stage 6] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
                │         DistributedLeafExec:
                │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_customer_sk, ss_ext_discount_amt, ss_ext_list_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │           t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_customer_sk, ss_ext_discount_amt, ss_ext_list_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │           t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_customer_sk, ss_ext_discount_amt, ss_ext_list_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │           t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_customer_sk, ss_ext_discount_amt, ss_ext_list_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                └──────────────────────────────────────────────────
                  ┌───── Stage 5 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                  │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                  │   FilterExec: d_year@1 = 2001
                  │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                  │       DistributedLeafExec:
                  │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
                  │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
                  │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
                  │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
                  └──────────────────────────────────────────────────
                  ┌───── Stage 6 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                  │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                  │   DistributedLeafExec:
                  │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address], file_type=parquet, predicate=DynamicFilter [ empty ]
                  │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address], file_type=parquet, predicate=DynamicFilter [ empty ]
                  │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address], file_type=parquet, predicate=DynamicFilter [ empty ]
                  │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address], file_type=parquet, predicate=DynamicFilter [ empty ]
                  └──────────────────────────────────────────────────
              ┌───── Stage 11 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
              │ RepartitionExec: partitioning=Hash([c_customer_id@0, c_first_name@1, c_last_name@2, c_preferred_cust_flag@3, c_birth_country@4, c_login@5, c_email_address@6, d_year@7], 6), input_partitions=3
              │   AggregateExec: mode=Partial, gby=[c_customer_id@0 as c_customer_id, c_first_name@1 as c_first_name, c_last_name@2 as c_last_name, c_preferred_cust_flag@3 as c_preferred_cust_flag, c_birth_country@4 as c_birth_country, c_login@5 as c_login, c_email_address@6 as c_email_address, d_year@9 as d_year], aggr=[sum(store_sales.ss_ext_list_price - store_sales.ss_ext_discount_amt)], ordering_mode=PartiallySorted([7])
              │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@7)], projection=[c_customer_id@2, c_first_name@3, c_last_name@4, c_preferred_cust_flag@5, c_birth_country@6, c_login@7, c_email_address@8, ss_ext_discount_amt@10, ss_ext_list_price@11, d_year@1]
              │       CoalescePartitionsExec
              │         [Stage 9] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
              │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(c_customer_sk@0, ss_customer_sk@1)], projection=[c_customer_id@1, c_first_name@2, c_last_name@3, c_preferred_cust_flag@4, c_birth_country@5, c_login@6, c_email_address@7, ss_sold_date_sk@8, ss_ext_discount_amt@10, ss_ext_list_price@11]
              │         CoalescePartitionsExec
              │           [Stage 10] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
              │         DistributedLeafExec:
              │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_customer_sk, ss_ext_discount_amt, ss_ext_list_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │           t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_customer_sk, ss_ext_discount_amt, ss_ext_list_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │           t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_customer_sk, ss_ext_discount_amt, ss_ext_list_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │           t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_customer_sk, ss_ext_discount_amt, ss_ext_list_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
                ┌───── Stage 9 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                │   FilterExec: d_year@1 = 2002
                │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2002, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1, required_guarantees=[d_year in (2002)]
                │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2002, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1, required_guarantees=[d_year in (2002)]
                │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2002, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1, required_guarantees=[d_year in (2002)]
                │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2002, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1, required_guarantees=[d_year in (2002)]
                └──────────────────────────────────────────────────
                ┌───── Stage 10 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                │   DistributedLeafExec:
                │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address], file_type=parquet, predicate=DynamicFilter [ empty ]
                │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address], file_type=parquet, predicate=DynamicFilter [ empty ]
                │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address], file_type=parquet, predicate=DynamicFilter [ empty ]
                │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address], file_type=parquet, predicate=DynamicFilter [ empty ]
                └──────────────────────────────────────────────────
            ┌───── Stage 15 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([c_customer_id@0, c_first_name@1, c_last_name@2, c_preferred_cust_flag@3, c_birth_country@4, c_login@5, c_email_address@6, d_year@7], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[c_customer_id@0 as c_customer_id, c_first_name@1 as c_first_name, c_last_name@2 as c_last_name, c_preferred_cust_flag@3 as c_preferred_cust_flag, c_birth_country@4 as c_birth_country, c_login@5 as c_login, c_email_address@6 as c_email_address, d_year@9 as d_year], aggr=[sum(web_sales.ws_ext_list_price - web_sales.ws_ext_discount_amt)], ordering_mode=PartiallySorted([7])
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ws_sold_date_sk@7)], projection=[c_customer_id@2, c_first_name@3, c_last_name@4, c_preferred_cust_flag@5, c_birth_country@6, c_login@7, c_email_address@8, ws_ext_discount_amt@10, ws_ext_list_price@11, d_year@1]
            │       CoalescePartitionsExec
            │         [Stage 13] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(c_customer_sk@0, ws_bill_customer_sk@1)], projection=[c_customer_id@1, c_first_name@2, c_last_name@3, c_preferred_cust_flag@4, c_birth_country@5, c_login@6, c_email_address@7, ws_sold_date_sk@8, ws_ext_discount_amt@10, ws_ext_list_price@11]
            │         CoalescePartitionsExec
            │           [Stage 14] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │         DistributedLeafExec:
            │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_bill_customer_sk, ws_ext_discount_amt, ws_ext_list_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_bill_customer_sk, ws_ext_discount_amt, ws_ext_list_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_bill_customer_sk, ws_ext_discount_amt, ws_ext_list_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_bill_customer_sk, ws_ext_discount_amt, ws_ext_list_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 13 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_year@1 = 2002
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2002, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1, required_guarantees=[d_year in (2002)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2002, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1, required_guarantees=[d_year in (2002)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2002, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1, required_guarantees=[d_year in (2002)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2002, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1, required_guarantees=[d_year in (2002)]
              └──────────────────────────────────────────────────
              ┌───── Stage 14 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address], file_type=parquet, predicate=DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_12() -> Result<()> {
        let display = test_tpcds_query("q12").await?;
        assert_snapshot!(display, @r#"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [i_category@2 ASC NULLS LAST, i_class@3 ASC NULLS LAST, i_item_id@0 ASC NULLS LAST, i_item_desc@1 ASC NULLS LAST, revenueratio@6 ASC NULLS LAST], fetch=100
        │   SortExec: TopK(fetch=100), expr=[i_category@2 ASC NULLS LAST, i_class@3 ASC NULLS LAST, i_item_id@0 ASC NULLS LAST, i_item_desc@1 ASC NULLS LAST, revenueratio@6 ASC NULLS LAST], preserve_partitioning=[true]
        │     ProjectionExec: expr=[i_item_id@0 as i_item_id, i_item_desc@1 as i_item_desc, i_category@2 as i_category, i_class@3 as i_class, i_current_price@4 as i_current_price, sum(web_sales.ws_ext_sales_price)@5 as itemrevenue, CAST(sum(web_sales.ws_ext_sales_price)@5 AS Float64) * 100 / CAST(sum(sum(web_sales.ws_ext_sales_price)) PARTITION BY [item.i_class] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING@6 AS Float64) as revenueratio]
        │       WindowAggExec: wdw=[sum(sum(web_sales.ws_ext_sales_price)) PARTITION BY [item.i_class] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING: Ok(Field { name: "sum(sum(web_sales.ws_ext_sales_price)) PARTITION BY [item.i_class] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING", data_type: Decimal128(27, 2), nullable: true }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(NULL)), is_causal: false }]
        │         SortExec: expr=[i_class@3 ASC NULLS LAST], preserve_partitioning=[true]
        │           [Stage 4] => NetworkShuffleExec: output_partitions=3, input_tasks=2
        └──────────────────────────────────────────────────
          ┌───── Stage 4 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ RepartitionExec: partitioning=Hash([i_class@3], 3), input_partitions=3
          │   AggregateExec: mode=FinalPartitioned, gby=[i_item_id@0 as i_item_id, i_item_desc@1 as i_item_desc, i_category@2 as i_category, i_class@3 as i_class, i_current_price@4 as i_current_price], aggr=[sum(web_sales.ws_ext_sales_price)]
          │     [Stage 3] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 3 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([i_item_id@0, i_item_desc@1, i_category@2, i_class@3, i_current_price@4], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[i_item_id@1 as i_item_id, i_item_desc@2 as i_item_desc, i_category@5 as i_category, i_class@4 as i_class, i_current_price@3 as i_current_price], aggr=[sum(web_sales.ws_ext_sales_price)]
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ws_sold_date_sk@0)], projection=[ws_ext_sales_price@2, i_item_id@3, i_item_desc@4, i_current_price@5, i_class@6, i_category@7]
            │       CoalescePartitionsExec
            │         [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, ws_item_sk@1)], projection=[ws_sold_date_sk@6, ws_ext_sales_price@8, i_item_id@1, i_item_desc@2, i_current_price@3, i_class@4, i_category@5]
            │         CoalescePartitionsExec
            │           [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │         DistributedLeafExec:
            │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 1 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_date@1 >= 1999-02-22 AND d_date@1 <= 1999-03-24, projection=[d_date_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 1999-02-22 AND d_date@2 <= 1999-03-24, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 1999-02-22 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 1999-03-24, required_guarantees=[]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 1999-02-22 AND d_date@2 <= 1999-03-24, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 1999-02-22 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 1999-03-24, required_guarantees=[]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 1999-02-22 AND d_date@2 <= 1999-03-24, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 1999-02-22 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 1999-03-24, required_guarantees=[]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 1999-02-22 AND d_date@2 <= 1999-03-24, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 1999-02-22 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 1999-03-24, required_guarantees=[]
              └──────────────────────────────────────────────────
              ┌───── Stage 2 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: i_category@5 = Sports OR i_category@5 = Books OR i_category@5 = Home
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id, i_item_desc, i_current_price, i_class, i_category], file_type=parquet, predicate=i_category@12 = Sports OR i_category@12 = Books OR i_category@12 = Home, pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Sports AND Sports <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Books AND Books <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Home AND Home <= i_category_max@1, required_guarantees=[i_category in (Books, Home, Sports)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id, i_item_desc, i_current_price, i_class, i_category], file_type=parquet, predicate=i_category@12 = Sports OR i_category@12 = Books OR i_category@12 = Home, pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Sports AND Sports <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Books AND Books <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Home AND Home <= i_category_max@1, required_guarantees=[i_category in (Books, Home, Sports)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id, i_item_desc, i_current_price, i_class, i_category], file_type=parquet, predicate=i_category@12 = Sports OR i_category@12 = Books OR i_category@12 = Home, pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Sports AND Sports <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Books AND Books <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Home AND Home <= i_category_max@1, required_guarantees=[i_category in (Books, Home, Sports)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id, i_item_desc, i_current_price, i_class, i_category], file_type=parquet, predicate=i_category@12 = Sports OR i_category@12 = Books OR i_category@12 = Home, pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Sports AND Sports <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Books AND Books <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Home AND Home <= i_category_max@1, required_guarantees=[i_category in (Books, Home, Sports)]
              └──────────────────────────────────────────────────
        "#);
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_13() -> Result<()> {
        let display = test_tpcds_query("q13").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ ProjectionExec: expr=[avg(store_sales.ss_quantity)@0 as avg1, avg(store_sales.ss_ext_sales_price)@1 as avg2, avg(store_sales.ss_ext_wholesale_cost)@2 as avg3, sum(store_sales.ss_ext_wholesale_cost)@3 as sum(store_sales.ss_ext_wholesale_cost)]
        │   AggregateExec: mode=Final, gby=[], aggr=[avg(store_sales.ss_quantity), avg(store_sales.ss_ext_sales_price), avg(store_sales.ss_ext_wholesale_cost), sum(store_sales.ss_ext_wholesale_cost)]
        │     CoalescePartitionsExec
        │       [Stage 7] => NetworkCoalesceExec: output_partitions=12, input_tasks=4
        └──────────────────────────────────────────────────
          ┌───── Stage 7 ── Tasks: t0:[p0..p2] t1:[p0..p2] t2:[p0..p2] t3:[p0..p2]
          │ AggregateExec: mode=Partial, gby=[], aggr=[avg(store_sales.ss_quantity), avg(store_sales.ss_ext_sales_price), avg(store_sales.ss_ext_wholesale_cost), sum(store_sales.ss_ext_wholesale_cost)]
          │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[ss_quantity@2, ss_ext_sales_price@3, ss_ext_wholesale_cost@4]
          │     CoalescePartitionsExec
          │       [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
          │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(ca_address_sk@0, ss_addr_sk@1)], filter=(ca_state@1 = TX OR ca_state@1 = OH) AND ss_net_profit@0 >= Some(10000),7,2 AND ss_net_profit@0 <= Some(20000),7,2 OR (ca_state@1 = OR OR ca_state@1 = NM OR ca_state@1 = KY) AND ss_net_profit@0 >= Some(15000),7,2 AND ss_net_profit@0 <= Some(30000),7,2 OR (ca_state@1 = VA OR ca_state@1 = TX OR ca_state@1 = MS) AND ss_net_profit@0 >= Some(5000),7,2 AND ss_net_profit@0 <= Some(25000),7,2, projection=[ss_sold_date_sk@2, ss_quantity@4, ss_ext_sales_price@5, ss_ext_wholesale_cost@6]
          │       CoalescePartitionsExec
          │         [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
          │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(hd_demo_sk@0, ss_hdemo_sk@1)], filter=cd_marital_status@1 = M AND cd_education_status@2 = Advanced Degree AND ss_sales_price@0 >= Some(10000),7,2 AND ss_sales_price@0 <= Some(15000),7,2 AND hd_dep_count@3 = 3 OR cd_marital_status@1 = S AND cd_education_status@2 = College AND ss_sales_price@0 >= Some(5000),7,2 AND ss_sales_price@0 <= Some(10000),7,2 AND hd_dep_count@3 = 1 OR cd_marital_status@1 = W AND cd_education_status@2 = 2 yr Degree AND ss_sales_price@0 >= Some(15000),7,2 AND ss_sales_price@0 <= Some(20000),7,2 AND hd_dep_count@3 = 1, projection=[ss_sold_date_sk@2, ss_addr_sk@4, ss_quantity@5, ss_ext_sales_price@7, ss_ext_wholesale_cost@8, ss_net_profit@9]
          │         CoalescePartitionsExec
          │           [Stage 3] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
          │         HashJoinExec: mode=Partitioned, join_type=Inner, on=[(cd_demo_sk@0, ss_cdemo_sk@1)], filter=cd_marital_status@1 = M AND cd_education_status@2 = Advanced Degree AND ss_sales_price@0 >= Some(10000),7,2 AND ss_sales_price@0 <= Some(15000),7,2 OR cd_marital_status@1 = S AND cd_education_status@2 = College AND ss_sales_price@0 >= Some(5000),7,2 AND ss_sales_price@0 <= Some(10000),7,2 OR cd_marital_status@1 = W AND cd_education_status@2 = 2 yr Degree AND ss_sales_price@0 >= Some(15000),7,2 AND ss_sales_price@0 <= Some(20000),7,2, projection=[ss_sold_date_sk@3, ss_hdemo_sk@5, ss_addr_sk@6, ss_quantity@7, ss_sales_price@8, ss_ext_sales_price@9, ss_ext_wholesale_cost@10, ss_net_profit@11, cd_marital_status@1, cd_education_status@2]
          │           [Stage 4] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          │           [Stage 6] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 1 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   FilterExec: d_year@1 = 2001, projection=[d_date_sk@0]
            │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
            │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
            │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
            │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
            └──────────────────────────────────────────────────
            ┌───── Stage 2 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   FilterExec: ca_country@2 = United States AND ca_state@1 IN (SET) ([TX, OH, OR, NM, KY, VA, MS]) AND (ca_state@1 = TX OR ca_state@1 = OH OR ca_state@1 = OR OR ca_state@1 = NM OR ca_state@1 = KY OR ca_state@1 = VA OR ca_state@1 = TX OR ca_state@1 = MS), projection=[ca_address_sk@0, ca_state@1]
            │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_state, ca_country], file_type=parquet, predicate=ca_country@10 = United States AND ca_state@8 IN (SET) ([TX, OH, OR, NM, KY, VA, MS]) AND (ca_state@8 = TX OR ca_state@8 = OH OR ca_state@8 = OR OR ca_state@8 = NM OR ca_state@8 = KY OR ca_state@8 = VA OR ca_state@8 = TX OR ca_state@8 = MS), pruning_predicate=ca_country_null_count@2 != row_count@3 AND ca_country_min@0 <= United States AND United States <= ca_country_max@1 AND (ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= TX AND TX <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= OH AND OH <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= OR AND OR <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= NM AND NM <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= KY AND KY <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= VA AND VA <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= MS AND MS <= ca_state_max@5) AND (ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= TX AND TX <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= OH AND OH <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= OR AND OR <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= NM AND NM <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= KY AND KY <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= VA AND VA <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= TX AND TX <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= MS AND MS <= ca_state_max@5), required_guarantees=[ca_country in (United States), ca_state in (KY, MS, NM, OH, OR, TX, VA)]
            │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_state, ca_country], file_type=parquet, predicate=ca_country@10 = United States AND ca_state@8 IN (SET) ([TX, OH, OR, NM, KY, VA, MS]) AND (ca_state@8 = TX OR ca_state@8 = OH OR ca_state@8 = OR OR ca_state@8 = NM OR ca_state@8 = KY OR ca_state@8 = VA OR ca_state@8 = TX OR ca_state@8 = MS), pruning_predicate=ca_country_null_count@2 != row_count@3 AND ca_country_min@0 <= United States AND United States <= ca_country_max@1 AND (ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= TX AND TX <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= OH AND OH <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= OR AND OR <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= NM AND NM <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= KY AND KY <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= VA AND VA <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= MS AND MS <= ca_state_max@5) AND (ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= TX AND TX <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= OH AND OH <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= OR AND OR <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= NM AND NM <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= KY AND KY <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= VA AND VA <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= TX AND TX <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= MS AND MS <= ca_state_max@5), required_guarantees=[ca_country in (United States), ca_state in (KY, MS, NM, OH, OR, TX, VA)]
            │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_state, ca_country], file_type=parquet, predicate=ca_country@10 = United States AND ca_state@8 IN (SET) ([TX, OH, OR, NM, KY, VA, MS]) AND (ca_state@8 = TX OR ca_state@8 = OH OR ca_state@8 = OR OR ca_state@8 = NM OR ca_state@8 = KY OR ca_state@8 = VA OR ca_state@8 = TX OR ca_state@8 = MS), pruning_predicate=ca_country_null_count@2 != row_count@3 AND ca_country_min@0 <= United States AND United States <= ca_country_max@1 AND (ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= TX AND TX <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= OH AND OH <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= OR AND OR <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= NM AND NM <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= KY AND KY <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= VA AND VA <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= MS AND MS <= ca_state_max@5) AND (ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= TX AND TX <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= OH AND OH <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= OR AND OR <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= NM AND NM <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= KY AND KY <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= VA AND VA <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= TX AND TX <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= MS AND MS <= ca_state_max@5), required_guarantees=[ca_country in (United States), ca_state in (KY, MS, NM, OH, OR, TX, VA)]
            │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_state, ca_country], file_type=parquet, predicate=ca_country@10 = United States AND ca_state@8 IN (SET) ([TX, OH, OR, NM, KY, VA, MS]) AND (ca_state@8 = TX OR ca_state@8 = OH OR ca_state@8 = OR OR ca_state@8 = NM OR ca_state@8 = KY OR ca_state@8 = VA OR ca_state@8 = TX OR ca_state@8 = MS), pruning_predicate=ca_country_null_count@2 != row_count@3 AND ca_country_min@0 <= United States AND United States <= ca_country_max@1 AND (ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= TX AND TX <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= OH AND OH <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= OR AND OR <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= NM AND NM <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= KY AND KY <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= VA AND VA <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= MS AND MS <= ca_state_max@5) AND (ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= TX AND TX <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= OH AND OH <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= OR AND OR <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= NM AND NM <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= KY AND KY <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= VA AND VA <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= TX AND TX <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= MS AND MS <= ca_state_max@5), required_guarantees=[ca_country in (United States), ca_state in (KY, MS, NM, OH, OR, TX, VA)]
            └──────────────────────────────────────────────────
            ┌───── Stage 3 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   FilterExec: __common_expr_2@0 AND (__common_expr_2@0 OR hd_dep_count@2 = 1), projection=[hd_demo_sk@1, hd_dep_count@2]
            │     ProjectionExec: expr=[hd_dep_count@1 = 3 OR hd_dep_count@1 = 1 as __common_expr_2, hd_demo_sk@0 as hd_demo_sk, hd_dep_count@1 as hd_dep_count]
            │       RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │         DistributedLeafExec:
            │           t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_dep_count], file_type=parquet, predicate=(hd_dep_count@3 = 3 OR hd_dep_count@3 = 1) AND (hd_dep_count@3 = 3 OR hd_dep_count@3 = 1 OR hd_dep_count@3 = 1), pruning_predicate=(hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 3 AND 3 <= hd_dep_count_max@1 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 1 AND 1 <= hd_dep_count_max@1) AND (hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 3 AND 3 <= hd_dep_count_max@1 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 1 AND 1 <= hd_dep_count_max@1 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 1 AND 1 <= hd_dep_count_max@1), required_guarantees=[hd_dep_count in (1, 3)]
            │           t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_dep_count], file_type=parquet, predicate=(hd_dep_count@3 = 3 OR hd_dep_count@3 = 1) AND (hd_dep_count@3 = 3 OR hd_dep_count@3 = 1 OR hd_dep_count@3 = 1), pruning_predicate=(hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 3 AND 3 <= hd_dep_count_max@1 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 1 AND 1 <= hd_dep_count_max@1) AND (hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 3 AND 3 <= hd_dep_count_max@1 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 1 AND 1 <= hd_dep_count_max@1 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 1 AND 1 <= hd_dep_count_max@1), required_guarantees=[hd_dep_count in (1, 3)]
            │           t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_dep_count], file_type=parquet, predicate=(hd_dep_count@3 = 3 OR hd_dep_count@3 = 1) AND (hd_dep_count@3 = 3 OR hd_dep_count@3 = 1 OR hd_dep_count@3 = 1), pruning_predicate=(hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 3 AND 3 <= hd_dep_count_max@1 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 1 AND 1 <= hd_dep_count_max@1) AND (hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 3 AND 3 <= hd_dep_count_max@1 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 1 AND 1 <= hd_dep_count_max@1 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 1 AND 1 <= hd_dep_count_max@1), required_guarantees=[hd_dep_count in (1, 3)]
            │           t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-3.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_dep_count], file_type=parquet, predicate=(hd_dep_count@3 = 3 OR hd_dep_count@3 = 1) AND (hd_dep_count@3 = 3 OR hd_dep_count@3 = 1 OR hd_dep_count@3 = 1), pruning_predicate=(hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 3 AND 3 <= hd_dep_count_max@1 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 1 AND 1 <= hd_dep_count_max@1) AND (hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 3 AND 3 <= hd_dep_count_max@1 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 1 AND 1 <= hd_dep_count_max@1 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 1 AND 1 <= hd_dep_count_max@1), required_guarantees=[hd_dep_count in (1, 3)]
            └──────────────────────────────────────────────────
            ┌───── Stage 4 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
            │ RepartitionExec: partitioning=Hash([cd_demo_sk@0], 12), input_partitions=3
            │   FilterExec: cd_marital_status@1 = M AND cd_education_status@2 = Advanced Degree OR cd_marital_status@1 = S AND cd_education_status@2 = College OR cd_marital_status@1 = W AND cd_education_status@2 = 2 yr Degree
            │     DistributedLeafExec:
            │       t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_marital_status, cd_education_status], file_type=parquet, predicate=cd_marital_status@2 = M AND cd_education_status@3 = Advanced Degree OR cd_marital_status@2 = S AND cd_education_status@3 = College OR cd_marital_status@2 = W AND cd_education_status@3 = 2 yr Degree, pruning_predicate=cd_marital_status_null_count@2 != row_count@3 AND cd_marital_status_min@0 <= M AND M <= cd_marital_status_max@1 AND cd_education_status_null_count@6 != row_count@3 AND cd_education_status_min@4 <= Advanced Degree AND Advanced Degree <= cd_education_status_max@5 OR cd_marital_status_null_count@2 != row_count@3 AND cd_marital_status_min@0 <= S AND S <= cd_marital_status_max@1 AND cd_education_status_null_count@6 != row_count@3 AND cd_education_status_min@4 <= College AND College <= cd_education_status_max@5 OR cd_marital_status_null_count@2 != row_count@3 AND cd_marital_status_min@0 <= W AND W <= cd_marital_status_max@1 AND cd_education_status_null_count@6 != row_count@3 AND cd_education_status_min@4 <= 2 yr Degree AND 2 yr Degree <= cd_education_status_max@5, required_guarantees=[cd_education_status in (2 yr Degree, Advanced Degree, College), cd_marital_status in (M, S, W)]
            │       t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-3.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_marital_status, cd_education_status], file_type=parquet, predicate=cd_marital_status@2 = M AND cd_education_status@3 = Advanced Degree OR cd_marital_status@2 = S AND cd_education_status@3 = College OR cd_marital_status@2 = W AND cd_education_status@3 = 2 yr Degree, pruning_predicate=cd_marital_status_null_count@2 != row_count@3 AND cd_marital_status_min@0 <= M AND M <= cd_marital_status_max@1 AND cd_education_status_null_count@6 != row_count@3 AND cd_education_status_min@4 <= Advanced Degree AND Advanced Degree <= cd_education_status_max@5 OR cd_marital_status_null_count@2 != row_count@3 AND cd_marital_status_min@0 <= S AND S <= cd_marital_status_max@1 AND cd_education_status_null_count@6 != row_count@3 AND cd_education_status_min@4 <= College AND College <= cd_education_status_max@5 OR cd_marital_status_null_count@2 != row_count@3 AND cd_marital_status_min@0 <= W AND W <= cd_marital_status_max@1 AND cd_education_status_null_count@6 != row_count@3 AND cd_education_status_min@4 <= 2 yr Degree AND 2 yr Degree <= cd_education_status_max@5, required_guarantees=[cd_education_status in (2 yr Degree, Advanced Degree, College), cd_marital_status in (M, S, W)]
            │       t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-3.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_marital_status, cd_education_status], file_type=parquet, predicate=cd_marital_status@2 = M AND cd_education_status@3 = Advanced Degree OR cd_marital_status@2 = S AND cd_education_status@3 = College OR cd_marital_status@2 = W AND cd_education_status@3 = 2 yr Degree, pruning_predicate=cd_marital_status_null_count@2 != row_count@3 AND cd_marital_status_min@0 <= M AND M <= cd_marital_status_max@1 AND cd_education_status_null_count@6 != row_count@3 AND cd_education_status_min@4 <= Advanced Degree AND Advanced Degree <= cd_education_status_max@5 OR cd_marital_status_null_count@2 != row_count@3 AND cd_marital_status_min@0 <= S AND S <= cd_marital_status_max@1 AND cd_education_status_null_count@6 != row_count@3 AND cd_education_status_min@4 <= College AND College <= cd_education_status_max@5 OR cd_marital_status_null_count@2 != row_count@3 AND cd_marital_status_min@0 <= W AND W <= cd_marital_status_max@1 AND cd_education_status_null_count@6 != row_count@3 AND cd_education_status_min@4 <= 2 yr Degree AND 2 yr Degree <= cd_education_status_max@5, required_guarantees=[cd_education_status in (2 yr Degree, Advanced Degree, College), cd_marital_status in (M, S, W)]
            │       t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-3.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_marital_status, cd_education_status], file_type=parquet, predicate=cd_marital_status@2 = M AND cd_education_status@3 = Advanced Degree OR cd_marital_status@2 = S AND cd_education_status@3 = College OR cd_marital_status@2 = W AND cd_education_status@3 = 2 yr Degree, pruning_predicate=cd_marital_status_null_count@2 != row_count@3 AND cd_marital_status_min@0 <= M AND M <= cd_marital_status_max@1 AND cd_education_status_null_count@6 != row_count@3 AND cd_education_status_min@4 <= Advanced Degree AND Advanced Degree <= cd_education_status_max@5 OR cd_marital_status_null_count@2 != row_count@3 AND cd_marital_status_min@0 <= S AND S <= cd_marital_status_max@1 AND cd_education_status_null_count@6 != row_count@3 AND cd_education_status_min@4 <= College AND College <= cd_education_status_max@5 OR cd_marital_status_null_count@2 != row_count@3 AND cd_marital_status_min@0 <= W AND W <= cd_marital_status_max@1 AND cd_education_status_null_count@6 != row_count@3 AND cd_education_status_min@4 <= 2 yr Degree AND 2 yr Degree <= cd_education_status_max@5, required_guarantees=[cd_education_status in (2 yr Degree, Advanced Degree, College), cd_marital_status in (M, S, W)]
            └──────────────────────────────────────────────────
            ┌───── Stage 6 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
            │ RepartitionExec: partitioning=Hash([ss_cdemo_sk@1], 12), input_partitions=3
            │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(s_store_sk@0, ss_store_sk@4)], projection=[ss_sold_date_sk@1, ss_cdemo_sk@2, ss_hdemo_sk@3, ss_addr_sk@4, ss_quantity@6, ss_sales_price@7, ss_ext_sales_price@8, ss_ext_wholesale_cost@9, ss_net_profit@10]
            │     CoalescePartitionsExec
            │       [Stage 5] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │     FilterExec: (ss_net_profit@9 >= Some(10000),7,2 AND ss_net_profit@9 <= Some(20000),7,2 OR ss_net_profit@9 >= Some(15000),7,2 AND ss_net_profit@9 <= Some(30000),7,2 OR ss_net_profit@9 >= Some(5000),7,2 AND ss_net_profit@9 <= Some(25000),7,2) AND (ss_sales_price@6 >= Some(10000),7,2 AND ss_sales_price@6 <= Some(15000),7,2 OR ss_sales_price@6 >= Some(5000),7,2 AND ss_sales_price@6 <= Some(10000),7,2 OR ss_sales_price@6 >= Some(15000),7,2 AND ss_sales_price@6 <= Some(20000),7,2)
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_cdemo_sk, ss_hdemo_sk, ss_addr_sk, ss_store_sk, ss_quantity, ss_sales_price, ss_ext_sales_price, ss_ext_wholesale_cost, ss_net_profit], file_type=parquet, predicate=(ss_net_profit@22 >= Some(10000),7,2 AND ss_net_profit@22 <= Some(20000),7,2 OR ss_net_profit@22 >= Some(15000),7,2 AND ss_net_profit@22 <= Some(30000),7,2 OR ss_net_profit@22 >= Some(5000),7,2 AND ss_net_profit@22 <= Some(25000),7,2) AND (ss_sales_price@13 >= Some(10000),7,2 AND ss_sales_price@13 <= Some(15000),7,2 OR ss_sales_price@13 >= Some(5000),7,2 AND ss_sales_price@13 <= Some(10000),7,2 OR ss_sales_price@13 >= Some(15000),7,2 AND ss_sales_price@13 <= Some(20000),7,2) AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ], pruning_predicate=(ss_net_profit_null_count@1 != row_count@2 AND ss_net_profit_max@0 >= Some(10000),7,2 AND ss_net_profit_null_count@1 != row_count@2 AND ss_net_profit_min@3 <= Some(20000),7,2 OR ss_net_profit_null_count@1 != row_count@2 AND ss_net_profit_max@0 >= Some(15000),7,2 AND ss_net_profit_null_count@1 != row_count@2 AND ss_net_profit_min@3 <= Some(30000),7,2 OR ss_net_profit_null_count@1 != row_count@2 AND ss_net_profit_max@0 >= Some(5000),7,2 AND ss_net_profit_null_count@1 != row_count@2 AND ss_net_profit_min@3 <= Some(25000),7,2) AND (ss_sales_price_null_count@5 != row_count@2 AND ss_sales_price_max@4 >= Some(10000),7,2 AND ss_sales_price_null_count@5 != row_count@2 AND ss_sales_price_min@6 <= Some(15000),7,2 OR ss_sales_price_null_count@5 != row_count@2 AND ss_sales_price_max@4 >= Some(5000),7,2 AND ss_sales_price_null_count@5 != row_count@2 AND ss_sales_price_min@6 <= Some(10000),7,2 OR ss_sales_price_null_count@5 != row_count@2 AND ss_sales_price_max@4 >= Some(15000),7,2 AND ss_sales_price_null_count@5 != row_count@2 AND ss_sales_price_min@6 <= Some(20000),7,2), required_guarantees=[]
            │         t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_cdemo_sk, ss_hdemo_sk, ss_addr_sk, ss_store_sk, ss_quantity, ss_sales_price, ss_ext_sales_price, ss_ext_wholesale_cost, ss_net_profit], file_type=parquet, predicate=(ss_net_profit@22 >= Some(10000),7,2 AND ss_net_profit@22 <= Some(20000),7,2 OR ss_net_profit@22 >= Some(15000),7,2 AND ss_net_profit@22 <= Some(30000),7,2 OR ss_net_profit@22 >= Some(5000),7,2 AND ss_net_profit@22 <= Some(25000),7,2) AND (ss_sales_price@13 >= Some(10000),7,2 AND ss_sales_price@13 <= Some(15000),7,2 OR ss_sales_price@13 >= Some(5000),7,2 AND ss_sales_price@13 <= Some(10000),7,2 OR ss_sales_price@13 >= Some(15000),7,2 AND ss_sales_price@13 <= Some(20000),7,2) AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ], pruning_predicate=(ss_net_profit_null_count@1 != row_count@2 AND ss_net_profit_max@0 >= Some(10000),7,2 AND ss_net_profit_null_count@1 != row_count@2 AND ss_net_profit_min@3 <= Some(20000),7,2 OR ss_net_profit_null_count@1 != row_count@2 AND ss_net_profit_max@0 >= Some(15000),7,2 AND ss_net_profit_null_count@1 != row_count@2 AND ss_net_profit_min@3 <= Some(30000),7,2 OR ss_net_profit_null_count@1 != row_count@2 AND ss_net_profit_max@0 >= Some(5000),7,2 AND ss_net_profit_null_count@1 != row_count@2 AND ss_net_profit_min@3 <= Some(25000),7,2) AND (ss_sales_price_null_count@5 != row_count@2 AND ss_sales_price_max@4 >= Some(10000),7,2 AND ss_sales_price_null_count@5 != row_count@2 AND ss_sales_price_min@6 <= Some(15000),7,2 OR ss_sales_price_null_count@5 != row_count@2 AND ss_sales_price_max@4 >= Some(5000),7,2 AND ss_sales_price_null_count@5 != row_count@2 AND ss_sales_price_min@6 <= Some(10000),7,2 OR ss_sales_price_null_count@5 != row_count@2 AND ss_sales_price_max@4 >= Some(15000),7,2 AND ss_sales_price_null_count@5 != row_count@2 AND ss_sales_price_min@6 <= Some(20000),7,2), required_guarantees=[]
            │         t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_cdemo_sk, ss_hdemo_sk, ss_addr_sk, ss_store_sk, ss_quantity, ss_sales_price, ss_ext_sales_price, ss_ext_wholesale_cost, ss_net_profit], file_type=parquet, predicate=(ss_net_profit@22 >= Some(10000),7,2 AND ss_net_profit@22 <= Some(20000),7,2 OR ss_net_profit@22 >= Some(15000),7,2 AND ss_net_profit@22 <= Some(30000),7,2 OR ss_net_profit@22 >= Some(5000),7,2 AND ss_net_profit@22 <= Some(25000),7,2) AND (ss_sales_price@13 >= Some(10000),7,2 AND ss_sales_price@13 <= Some(15000),7,2 OR ss_sales_price@13 >= Some(5000),7,2 AND ss_sales_price@13 <= Some(10000),7,2 OR ss_sales_price@13 >= Some(15000),7,2 AND ss_sales_price@13 <= Some(20000),7,2) AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ], pruning_predicate=(ss_net_profit_null_count@1 != row_count@2 AND ss_net_profit_max@0 >= Some(10000),7,2 AND ss_net_profit_null_count@1 != row_count@2 AND ss_net_profit_min@3 <= Some(20000),7,2 OR ss_net_profit_null_count@1 != row_count@2 AND ss_net_profit_max@0 >= Some(15000),7,2 AND ss_net_profit_null_count@1 != row_count@2 AND ss_net_profit_min@3 <= Some(30000),7,2 OR ss_net_profit_null_count@1 != row_count@2 AND ss_net_profit_max@0 >= Some(5000),7,2 AND ss_net_profit_null_count@1 != row_count@2 AND ss_net_profit_min@3 <= Some(25000),7,2) AND (ss_sales_price_null_count@5 != row_count@2 AND ss_sales_price_max@4 >= Some(10000),7,2 AND ss_sales_price_null_count@5 != row_count@2 AND ss_sales_price_min@6 <= Some(15000),7,2 OR ss_sales_price_null_count@5 != row_count@2 AND ss_sales_price_max@4 >= Some(5000),7,2 AND ss_sales_price_null_count@5 != row_count@2 AND ss_sales_price_min@6 <= Some(10000),7,2 OR ss_sales_price_null_count@5 != row_count@2 AND ss_sales_price_max@4 >= Some(15000),7,2 AND ss_sales_price_null_count@5 != row_count@2 AND ss_sales_price_min@6 <= Some(20000),7,2), required_guarantees=[]
            │         t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_cdemo_sk, ss_hdemo_sk, ss_addr_sk, ss_store_sk, ss_quantity, ss_sales_price, ss_ext_sales_price, ss_ext_wholesale_cost, ss_net_profit], file_type=parquet, predicate=(ss_net_profit@22 >= Some(10000),7,2 AND ss_net_profit@22 <= Some(20000),7,2 OR ss_net_profit@22 >= Some(15000),7,2 AND ss_net_profit@22 <= Some(30000),7,2 OR ss_net_profit@22 >= Some(5000),7,2 AND ss_net_profit@22 <= Some(25000),7,2) AND (ss_sales_price@13 >= Some(10000),7,2 AND ss_sales_price@13 <= Some(15000),7,2 OR ss_sales_price@13 >= Some(5000),7,2 AND ss_sales_price@13 <= Some(10000),7,2 OR ss_sales_price@13 >= Some(15000),7,2 AND ss_sales_price@13 <= Some(20000),7,2) AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ], pruning_predicate=(ss_net_profit_null_count@1 != row_count@2 AND ss_net_profit_max@0 >= Some(10000),7,2 AND ss_net_profit_null_count@1 != row_count@2 AND ss_net_profit_min@3 <= Some(20000),7,2 OR ss_net_profit_null_count@1 != row_count@2 AND ss_net_profit_max@0 >= Some(15000),7,2 AND ss_net_profit_null_count@1 != row_count@2 AND ss_net_profit_min@3 <= Some(30000),7,2 OR ss_net_profit_null_count@1 != row_count@2 AND ss_net_profit_max@0 >= Some(5000),7,2 AND ss_net_profit_null_count@1 != row_count@2 AND ss_net_profit_min@3 <= Some(25000),7,2) AND (ss_sales_price_null_count@5 != row_count@2 AND ss_sales_price_max@4 >= Some(10000),7,2 AND ss_sales_price_null_count@5 != row_count@2 AND ss_sales_price_min@6 <= Some(15000),7,2 OR ss_sales_price_null_count@5 != row_count@2 AND ss_sales_price_max@4 >= Some(5000),7,2 AND ss_sales_price_null_count@5 != row_count@2 AND ss_sales_price_min@6 <= Some(10000),7,2 OR ss_sales_price_null_count@5 != row_count@2 AND ss_sales_price_max@4 >= Some(15000),7,2 AND ss_sales_price_null_count@5 != row_count@2 AND ss_sales_price_min@6 <= Some(20000),7,2), required_guarantees=[]
            └──────────────────────────────────────────────────
              ┌───── Stage 5 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>]]}, projection=[s_store_sk], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>]]}, projection=[s_store_sk], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk], file_type=parquet
              └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_14() -> Result<()> {
        let display = test_tpcds_query("q14").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [channel@0 ASC, i_brand_id@1 ASC, i_class_id@2 ASC, i_category_id@3 ASC], fetch=100
        │   SortExec: TopK(fetch=100), expr=[channel@0 ASC, i_brand_id@1 ASC, i_class_id@2 ASC, i_category_id@3 ASC], preserve_partitioning=[true]
        │     ProjectionExec: expr=[channel@0 as channel, i_brand_id@1 as i_brand_id, i_class_id@2 as i_class_id, i_category_id@3 as i_category_id, sum(y.sales)@5 as sum_sales, sum(y.number_sales)@6 as sum_number_sales]
        │       AggregateExec: mode=FinalPartitioned, gby=[channel@0 as channel, i_brand_id@1 as i_brand_id, i_class_id@2 as i_class_id, i_category_id@3 as i_category_id, __grouping_id@4 as __grouping_id], aggr=[sum(y.sales), sum(y.number_sales)]
        │         [Stage 58] => NetworkShuffleExec: output_partitions=3, input_tasks=2
        └──────────────────────────────────────────────────
          ┌───── Stage 58 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ RepartitionExec: partitioning=Hash([channel@0, i_brand_id@1, i_class_id@2, i_category_id@3, __grouping_id@4], 3), input_partitions=3
          │   AggregateExec: mode=Partial, gby=[(NULL as channel, NULL as i_brand_id, NULL as i_class_id, NULL as i_category_id), (channel@0 as channel, NULL as i_brand_id, NULL as i_class_id, NULL as i_category_id), (channel@0 as channel, i_brand_id@1 as i_brand_id, NULL as i_class_id, NULL as i_category_id), (channel@0 as channel, i_brand_id@1 as i_brand_id, i_class_id@2 as i_class_id, NULL as i_category_id), (channel@0 as channel, i_brand_id@1 as i_brand_id, i_class_id@2 as i_class_id, i_category_id@3 as i_category_id)], aggr=[sum(y.sales), sum(y.number_sales)]
          │     InterleaveExec
          │       ProjectionExec: expr=[store as channel, i_brand_id@1 as i_brand_id, i_class_id@2 as i_class_id, i_category_id@3 as i_category_id, sum(store_sales.ss_quantity * store_sales.ss_list_price)@4 as sales, count(Int64(1))@5 as number_sales]
          │         NestedLoopJoinExec: join_type=Inner, filter=join_proj_push_down_1@1 > avg_sales.average_sales@0, projection=[avg_sales.average_sales@0, i_brand_id@1, i_class_id@2, i_category_id@3, sum(store_sales.ss_quantity * store_sales.ss_list_price)@4, count(Int64(1))@5]
          │           CoalescePartitionsExec
          │             [Stage 5] => NetworkBroadcastExec: partitions_per_consumer=1, stage_partitions=2, input_tasks=1
          │           ProjectionExec: expr=[i_brand_id@0 as i_brand_id, i_class_id@1 as i_class_id, i_category_id@2 as i_category_id, sum(store_sales.ss_quantity * store_sales.ss_list_price)@3 as sum(store_sales.ss_quantity * store_sales.ss_list_price), count(Int64(1))@4 as count(Int64(1)), CAST(sum(store_sales.ss_quantity * store_sales.ss_list_price)@3 AS Decimal128(32, 6)) as join_proj_push_down_1]
          │             AggregateExec: mode=FinalPartitioned, gby=[i_brand_id@0 as i_brand_id, i_class_id@1 as i_class_id, i_category_id@2 as i_category_id], aggr=[sum(store_sales.ss_quantity * store_sales.ss_list_price), count(Int64(1))]
          │               [Stage 19] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          │       ProjectionExec: expr=[catalog as channel, i_brand_id@1 as i_brand_id, i_class_id@2 as i_class_id, i_category_id@3 as i_category_id, sum(catalog_sales.cs_quantity * catalog_sales.cs_list_price)@4 as sales, count(Int64(1))@5 as number_sales]
          │         NestedLoopJoinExec: join_type=Inner, filter=join_proj_push_down_2@1 > avg_sales.average_sales@0, projection=[avg_sales.average_sales@0, i_brand_id@1, i_class_id@2, i_category_id@3, sum(catalog_sales.cs_quantity * catalog_sales.cs_list_price)@4, count(Int64(1))@5]
          │           CoalescePartitionsExec
          │             [Stage 24] => NetworkBroadcastExec: partitions_per_consumer=1, stage_partitions=2, input_tasks=1
          │           ProjectionExec: expr=[i_brand_id@0 as i_brand_id, i_class_id@1 as i_class_id, i_category_id@2 as i_category_id, sum(catalog_sales.cs_quantity * catalog_sales.cs_list_price)@3 as sum(catalog_sales.cs_quantity * catalog_sales.cs_list_price), count(Int64(1))@4 as count(Int64(1)), CAST(sum(catalog_sales.cs_quantity * catalog_sales.cs_list_price)@3 AS Decimal128(32, 6)) as join_proj_push_down_2]
          │             AggregateExec: mode=FinalPartitioned, gby=[i_brand_id@0 as i_brand_id, i_class_id@1 as i_class_id, i_category_id@2 as i_category_id], aggr=[sum(catalog_sales.cs_quantity * catalog_sales.cs_list_price), count(Int64(1))]
          │               [Stage 38] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          │       ProjectionExec: expr=[web as channel, i_brand_id@1 as i_brand_id, i_class_id@2 as i_class_id, i_category_id@3 as i_category_id, sum(web_sales.ws_quantity * web_sales.ws_list_price)@4 as sales, count(Int64(1))@5 as number_sales]
          │         NestedLoopJoinExec: join_type=Inner, filter=join_proj_push_down_3@1 > avg_sales.average_sales@0, projection=[avg_sales.average_sales@0, i_brand_id@1, i_class_id@2, i_category_id@3, sum(web_sales.ws_quantity * web_sales.ws_list_price)@4, count(Int64(1))@5]
          │           CoalescePartitionsExec
          │             [Stage 43] => NetworkBroadcastExec: partitions_per_consumer=1, stage_partitions=2, input_tasks=1
          │           ProjectionExec: expr=[i_brand_id@0 as i_brand_id, i_class_id@1 as i_class_id, i_category_id@2 as i_category_id, sum(web_sales.ws_quantity * web_sales.ws_list_price)@3 as sum(web_sales.ws_quantity * web_sales.ws_list_price), count(Int64(1))@4 as count(Int64(1)), CAST(sum(web_sales.ws_quantity * web_sales.ws_list_price)@3 AS Decimal128(32, 6)) as join_proj_push_down_3]
          │             AggregateExec: mode=FinalPartitioned, gby=[i_brand_id@0 as i_brand_id, i_class_id@1 as i_class_id, i_category_id@2 as i_category_id], aggr=[sum(web_sales.ws_quantity * web_sales.ws_list_price), count(Int64(1))]
          │               [Stage 57] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 5 ── Tasks: t0:[p0..p1]
            │ BroadcastExec: input_partitions=1, consumer_tasks=2, output_partitions=2
            │   ProjectionExec: expr=[CAST(avg(sq2.quantity * sq2.list_price)@0 AS Decimal128(32, 6)) as avg_sales.average_sales]
            │     AggregateExec: mode=Final, gby=[], aggr=[avg(sq2.quantity * sq2.list_price)]
            │       CoalescePartitionsExec
            │         [Stage 4] => NetworkCoalesceExec: output_partitions=12, input_tasks=4
            └──────────────────────────────────────────────────
              ┌───── Stage 4 ── Tasks: t0:[p0..p2] t1:[p3..p5] t2:[p6..p8] t3:[p9..p11]
              │ AggregateExec: mode=Partial, gby=[], aggr=[avg(sq2.quantity * sq2.list_price)]
              │   DistributedUnionExec: t0:[c0(0/2)] t1:[c0(1/2)] t2:[c1] t3:[c2]
              │     ProjectionExec: expr=[ss_quantity@0 as quantity, ss_list_price@1 as list_price]
              │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[ss_quantity@2, ss_list_price@3]
              │         CoalescePartitionsExec
              │           [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=6, input_tasks=4
              │         DistributedLeafExec:
              │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_quantity, ss_list_price], file_type=parquet, predicate=DynamicFilter [ empty ]
              │           t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_quantity, ss_list_price], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     ProjectionExec: expr=[cs_quantity@0 as quantity, cs_list_price@1 as list_price]
              │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, cs_sold_date_sk@0)], projection=[cs_quantity@2, cs_list_price@3]
              │         CoalescePartitionsExec
              │           [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=3, input_tasks=4
              │         DistributedLeafExec:
              │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_quantity, cs_list_price], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     ProjectionExec: expr=[ws_quantity@0 as quantity, ws_list_price@1 as list_price]
              │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ws_sold_date_sk@0)], projection=[ws_quantity@2, ws_list_price@3]
              │         CoalescePartitionsExec
              │           [Stage 3] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=3, input_tasks=4
              │         DistributedLeafExec:
              │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_quantity, ws_list_price], file_type=parquet, predicate=DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
                ┌───── Stage 1 ── Tasks: t0:[p0..p5] t1:[p6..p11] t2:[p12..p17] t3:[p18..p23]
                │ BroadcastExec: input_partitions=3, consumer_tasks=2, output_partitions=6
                │   FilterExec: d_year@1 >= 1999 AND d_year@1 <= 2001, projection=[d_date_sk@0]
                │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                └──────────────────────────────────────────────────
                ┌───── Stage 2 ── Tasks: t0:[p0..p2] t1:[p3..p5] t2:[p6..p8] t3:[p9..p11]
                │ BroadcastExec: input_partitions=3, consumer_tasks=1, output_partitions=3
                │   FilterExec: d_year@1 >= 1999 AND d_year@1 <= 2001, projection=[d_date_sk@0]
                │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                └──────────────────────────────────────────────────
                ┌───── Stage 3 ── Tasks: t0:[p0..p2] t1:[p3..p5] t2:[p6..p8] t3:[p9..p11]
                │ BroadcastExec: input_partitions=3, consumer_tasks=1, output_partitions=3
                │   FilterExec: d_year@1 >= 1999 AND d_year@1 <= 2001, projection=[d_date_sk@0]
                │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                └──────────────────────────────────────────────────
            ┌───── Stage 19 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([i_brand_id@0, i_class_id@1, i_category_id@2], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[i_brand_id@2 as i_brand_id, i_class_id@3 as i_class_id, i_category_id@4 as i_category_id], aggr=[sum(store_sales.ss_quantity * store_sales.ss_list_price), count(Int64(1))]
            │     HashJoinExec: mode=CollectLeft, join_type=RightSemi, on=[(ss_item_sk@0, ss_item_sk@0)], projection=[ss_quantity@1, ss_list_price@2, i_brand_id@3, i_class_id@4, i_category_id@5]
            │       CoalescePartitionsExec
            │         [Stage 16] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[ss_item_sk@2, ss_quantity@3, ss_list_price@4, i_brand_id@5, i_class_id@6, i_category_id@7]
            │         CoalescePartitionsExec
            │           [Stage 17] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, ss_item_sk@1)], projection=[ss_sold_date_sk@4, ss_item_sk@5, ss_quantity@6, ss_list_price@7, i_brand_id@1, i_class_id@2, i_category_id@3]
            │           CoalescePartitionsExec
            │             [Stage 18] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │           DistributedLeafExec:
            │             t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_quantity, ss_list_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_quantity, ss_list_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_quantity, ss_list_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_quantity, ss_list_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 16 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   ProjectionExec: expr=[i_item_sk@0 as ss_item_sk]
              │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_brand_id@1, brand_id@0), (i_class_id@2, class_id@1), (i_category_id@3, category_id@2)], projection=[i_item_sk@0]
              │       CoalescePartitionsExec
              │         [Stage 6] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
              │       HashJoinExec: mode=Partitioned, join_type=RightSemi, on=[(i_brand_id@0, brand_id@0), (i_class_id@1, class_id@1), (i_category_id@2, category_id@2)], NullsEqual: true
              │         [Stage 9] => NetworkShuffleExec: output_partitions=3, input_tasks=4
              │         AggregateExec: mode=SinglePartitioned, gby=[brand_id@0 as brand_id, class_id@1 as class_id, category_id@2 as category_id], aggr=[]
              │           HashJoinExec: mode=Partitioned, join_type=RightSemi, on=[(i_brand_id@0, brand_id@0), (i_class_id@1, class_id@1), (i_category_id@2, category_id@2)], NullsEqual: true
              │             [Stage 12] => NetworkShuffleExec: output_partitions=3, input_tasks=4
              │             AggregateExec: mode=FinalPartitioned, gby=[brand_id@0 as brand_id, class_id@1 as class_id, category_id@2 as category_id], aggr=[]
              │               [Stage 15] => NetworkShuffleExec: output_partitions=3, input_tasks=4
              └──────────────────────────────────────────────────
                ┌───── Stage 6 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                │   DistributedLeafExec:
                │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id], file_type=parquet
                │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id], file_type=parquet
                │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id], file_type=parquet
                │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id], file_type=parquet
                └──────────────────────────────────────────────────
                ┌───── Stage 9 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
                │ RepartitionExec: partitioning=Hash([i_brand_id@0, i_class_id@1, i_category_id@2], 12), input_partitions=3
                │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ws_sold_date_sk@0)], projection=[i_brand_id@2, i_class_id@3, i_category_id@4]
                │     CoalescePartitionsExec
                │       [Stage 7] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
                │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, ws_item_sk@1)], projection=[ws_sold_date_sk@4, i_brand_id@1, i_class_id@2, i_category_id@3]
                │       CoalescePartitionsExec
                │         [Stage 8] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │         t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │         t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │         t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                └──────────────────────────────────────────────────
                  ┌───── Stage 7 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                  │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                  │   FilterExec: d_year@1 >= 1999 AND d_year@1 <= 2001, projection=[d_date_sk@0]
                  │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                  │       DistributedLeafExec:
                  │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                  │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                  │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                  │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                  └──────────────────────────────────────────────────
                  ┌───── Stage 8 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                  │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                  │   DistributedLeafExec:
                  │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id], file_type=parquet
                  │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id], file_type=parquet
                  │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id], file_type=parquet
                  │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id], file_type=parquet
                  └──────────────────────────────────────────────────
                ┌───── Stage 12 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
                │ RepartitionExec: partitioning=Hash([i_brand_id@0, i_class_id@1, i_category_id@2], 12), input_partitions=3
                │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, cs_sold_date_sk@0)], projection=[i_brand_id@2, i_class_id@3, i_category_id@4]
                │     CoalescePartitionsExec
                │       [Stage 10] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
                │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, cs_item_sk@1)], projection=[cs_sold_date_sk@4, i_brand_id@1, i_class_id@2, i_category_id@3]
                │       CoalescePartitionsExec
                │         [Stage 11] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_item_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │         t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_item_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │         t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_item_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │         t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_item_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                └──────────────────────────────────────────────────
                  ┌───── Stage 10 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                  │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                  │   FilterExec: d_year@1 >= 1999 AND d_year@1 <= 2001, projection=[d_date_sk@0]
                  │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                  │       DistributedLeafExec:
                  │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                  │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                  │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                  │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                  └──────────────────────────────────────────────────
                  ┌───── Stage 11 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                  │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                  │   DistributedLeafExec:
                  │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id], file_type=parquet
                  │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id], file_type=parquet
                  │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id], file_type=parquet
                  │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id], file_type=parquet
                  └──────────────────────────────────────────────────
                ┌───── Stage 15 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
                │ RepartitionExec: partitioning=Hash([brand_id@0, class_id@1, category_id@2], 12), input_partitions=3
                │   AggregateExec: mode=Partial, gby=[brand_id@0 as brand_id, class_id@1 as class_id, category_id@2 as category_id], aggr=[]
                │     ProjectionExec: expr=[i_brand_id@0 as brand_id, i_class_id@1 as class_id, i_category_id@2 as category_id]
                │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[i_brand_id@2, i_class_id@3, i_category_id@4]
                │         CoalescePartitionsExec
                │           [Stage 13] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
                │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, ss_item_sk@1)], projection=[ss_sold_date_sk@4, i_brand_id@1, i_class_id@2, i_category_id@3]
                │           CoalescePartitionsExec
                │             [Stage 14] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
                │           DistributedLeafExec:
                │             t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │             t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │             t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │             t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                └──────────────────────────────────────────────────
                  ┌───── Stage 13 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                  │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                  │   FilterExec: d_year@1 >= 1999 AND d_year@1 <= 2001, projection=[d_date_sk@0]
                  │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                  │       DistributedLeafExec:
                  │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                  │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                  │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                  │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                  └──────────────────────────────────────────────────
                  ┌───── Stage 14 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                  │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                  │   DistributedLeafExec:
                  │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                  │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                  │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                  │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                  └──────────────────────────────────────────────────
              ┌───── Stage 17 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_year@1 = 2001 AND d_moy@2 = 11, projection=[d_date_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001 AND d_moy@8 = 11, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 11 AND 11 <= d_moy_max@5, required_guarantees=[d_moy in (11), d_year in (2001)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001 AND d_moy@8 = 11, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 11 AND 11 <= d_moy_max@5, required_guarantees=[d_moy in (11), d_year in (2001)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001 AND d_moy@8 = 11, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 11 AND 11 <= d_moy_max@5, required_guarantees=[d_moy in (11), d_year in (2001)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001 AND d_moy@8 = 11, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 11 AND 11 <= d_moy_max@5, required_guarantees=[d_moy in (11), d_year in (2001)]
              └──────────────────────────────────────────────────
              ┌───── Stage 18 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id], file_type=parquet
              └──────────────────────────────────────────────────
            ┌───── Stage 24 ── Tasks: t0:[p0..p1]
            │ BroadcastExec: input_partitions=1, consumer_tasks=2, output_partitions=2
            │   ProjectionExec: expr=[CAST(avg(sq2.quantity * sq2.list_price)@0 AS Decimal128(32, 6)) as avg_sales.average_sales]
            │     AggregateExec: mode=Final, gby=[], aggr=[avg(sq2.quantity * sq2.list_price)]
            │       CoalescePartitionsExec
            │         [Stage 23] => NetworkCoalesceExec: output_partitions=12, input_tasks=4
            └──────────────────────────────────────────────────
              ┌───── Stage 23 ── Tasks: t0:[p0..p2] t1:[p3..p5] t2:[p6..p8] t3:[p9..p11]
              │ AggregateExec: mode=Partial, gby=[], aggr=[avg(sq2.quantity * sq2.list_price)]
              │   DistributedUnionExec: t0:[c0(0/2)] t1:[c0(1/2)] t2:[c1] t3:[c2]
              │     ProjectionExec: expr=[ss_quantity@0 as quantity, ss_list_price@1 as list_price]
              │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[ss_quantity@2, ss_list_price@3]
              │         CoalescePartitionsExec
              │           [Stage 20] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=6, input_tasks=4
              │         DistributedLeafExec:
              │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_quantity, ss_list_price], file_type=parquet, predicate=DynamicFilter [ empty ]
              │           t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_quantity, ss_list_price], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     ProjectionExec: expr=[cs_quantity@0 as quantity, cs_list_price@1 as list_price]
              │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, cs_sold_date_sk@0)], projection=[cs_quantity@2, cs_list_price@3]
              │         CoalescePartitionsExec
              │           [Stage 21] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=3, input_tasks=4
              │         DistributedLeafExec:
              │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_quantity, cs_list_price], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     ProjectionExec: expr=[ws_quantity@0 as quantity, ws_list_price@1 as list_price]
              │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ws_sold_date_sk@0)], projection=[ws_quantity@2, ws_list_price@3]
              │         CoalescePartitionsExec
              │           [Stage 22] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=3, input_tasks=4
              │         DistributedLeafExec:
              │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_quantity, ws_list_price], file_type=parquet, predicate=DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
                ┌───── Stage 20 ── Tasks: t0:[p0..p5] t1:[p6..p11] t2:[p12..p17] t3:[p18..p23]
                │ BroadcastExec: input_partitions=3, consumer_tasks=2, output_partitions=6
                │   FilterExec: d_year@1 >= 1999 AND d_year@1 <= 2001, projection=[d_date_sk@0]
                │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                └──────────────────────────────────────────────────
                ┌───── Stage 21 ── Tasks: t0:[p0..p2] t1:[p3..p5] t2:[p6..p8] t3:[p9..p11]
                │ BroadcastExec: input_partitions=3, consumer_tasks=1, output_partitions=3
                │   FilterExec: d_year@1 >= 1999 AND d_year@1 <= 2001, projection=[d_date_sk@0]
                │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                └──────────────────────────────────────────────────
                ┌───── Stage 22 ── Tasks: t0:[p0..p2] t1:[p3..p5] t2:[p6..p8] t3:[p9..p11]
                │ BroadcastExec: input_partitions=3, consumer_tasks=1, output_partitions=3
                │   FilterExec: d_year@1 >= 1999 AND d_year@1 <= 2001, projection=[d_date_sk@0]
                │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                └──────────────────────────────────────────────────
            ┌───── Stage 38 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([i_brand_id@0, i_class_id@1, i_category_id@2], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[i_brand_id@2 as i_brand_id, i_class_id@3 as i_class_id, i_category_id@4 as i_category_id], aggr=[sum(catalog_sales.cs_quantity * catalog_sales.cs_list_price), count(Int64(1))]
            │     HashJoinExec: mode=CollectLeft, join_type=RightSemi, on=[(ss_item_sk@0, cs_item_sk@0)], projection=[cs_quantity@1, cs_list_price@2, i_brand_id@3, i_class_id@4, i_category_id@5]
            │       CoalescePartitionsExec
            │         [Stage 35] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, cs_sold_date_sk@0)], projection=[cs_item_sk@2, cs_quantity@3, cs_list_price@4, i_brand_id@5, i_class_id@6, i_category_id@7]
            │         CoalescePartitionsExec
            │           [Stage 36] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, cs_item_sk@1)], projection=[cs_sold_date_sk@4, cs_item_sk@5, cs_quantity@6, cs_list_price@7, i_brand_id@1, i_class_id@2, i_category_id@3]
            │           CoalescePartitionsExec
            │             [Stage 37] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │           DistributedLeafExec:
            │             t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_item_sk, cs_quantity, cs_list_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_item_sk, cs_quantity, cs_list_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_item_sk, cs_quantity, cs_list_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_item_sk, cs_quantity, cs_list_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 35 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   ProjectionExec: expr=[i_item_sk@0 as ss_item_sk]
              │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_brand_id@1, brand_id@0), (i_class_id@2, class_id@1), (i_category_id@3, category_id@2)], projection=[i_item_sk@0]
              │       CoalescePartitionsExec
              │         [Stage 25] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
              │       HashJoinExec: mode=Partitioned, join_type=RightSemi, on=[(i_brand_id@0, brand_id@0), (i_class_id@1, class_id@1), (i_category_id@2, category_id@2)], NullsEqual: true
              │         [Stage 28] => NetworkShuffleExec: output_partitions=3, input_tasks=4
              │         AggregateExec: mode=SinglePartitioned, gby=[brand_id@0 as brand_id, class_id@1 as class_id, category_id@2 as category_id], aggr=[]
              │           HashJoinExec: mode=Partitioned, join_type=RightSemi, on=[(i_brand_id@0, brand_id@0), (i_class_id@1, class_id@1), (i_category_id@2, category_id@2)], NullsEqual: true
              │             [Stage 31] => NetworkShuffleExec: output_partitions=3, input_tasks=4
              │             AggregateExec: mode=FinalPartitioned, gby=[brand_id@0 as brand_id, class_id@1 as class_id, category_id@2 as category_id], aggr=[]
              │               [Stage 34] => NetworkShuffleExec: output_partitions=3, input_tasks=4
              └──────────────────────────────────────────────────
                ┌───── Stage 25 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                │   DistributedLeafExec:
                │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id], file_type=parquet
                │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id], file_type=parquet
                │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id], file_type=parquet
                │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id], file_type=parquet
                └──────────────────────────────────────────────────
                ┌───── Stage 28 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
                │ RepartitionExec: partitioning=Hash([i_brand_id@0, i_class_id@1, i_category_id@2], 12), input_partitions=3
                │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ws_sold_date_sk@0)], projection=[i_brand_id@2, i_class_id@3, i_category_id@4]
                │     CoalescePartitionsExec
                │       [Stage 26] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
                │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, ws_item_sk@1)], projection=[ws_sold_date_sk@4, i_brand_id@1, i_class_id@2, i_category_id@3]
                │       CoalescePartitionsExec
                │         [Stage 27] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │         t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │         t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │         t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                └──────────────────────────────────────────────────
                  ┌───── Stage 26 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                  │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                  │   FilterExec: d_year@1 >= 1999 AND d_year@1 <= 2001, projection=[d_date_sk@0]
                  │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                  │       DistributedLeafExec:
                  │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                  │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                  │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                  │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                  └──────────────────────────────────────────────────
                  ┌───── Stage 27 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                  │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                  │   DistributedLeafExec:
                  │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id], file_type=parquet
                  │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id], file_type=parquet
                  │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id], file_type=parquet
                  │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id], file_type=parquet
                  └──────────────────────────────────────────────────
                ┌───── Stage 31 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
                │ RepartitionExec: partitioning=Hash([i_brand_id@0, i_class_id@1, i_category_id@2], 12), input_partitions=3
                │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, cs_sold_date_sk@0)], projection=[i_brand_id@2, i_class_id@3, i_category_id@4]
                │     CoalescePartitionsExec
                │       [Stage 29] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
                │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, cs_item_sk@1)], projection=[cs_sold_date_sk@4, i_brand_id@1, i_class_id@2, i_category_id@3]
                │       CoalescePartitionsExec
                │         [Stage 30] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_item_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │         t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_item_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │         t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_item_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │         t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_item_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                └──────────────────────────────────────────────────
                  ┌───── Stage 29 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                  │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                  │   FilterExec: d_year@1 >= 1999 AND d_year@1 <= 2001, projection=[d_date_sk@0]
                  │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                  │       DistributedLeafExec:
                  │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                  │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                  │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                  │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                  └──────────────────────────────────────────────────
                  ┌───── Stage 30 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                  │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                  │   DistributedLeafExec:
                  │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id], file_type=parquet
                  │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id], file_type=parquet
                  │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id], file_type=parquet
                  │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id], file_type=parquet
                  └──────────────────────────────────────────────────
                ┌───── Stage 34 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
                │ RepartitionExec: partitioning=Hash([brand_id@0, class_id@1, category_id@2], 12), input_partitions=3
                │   AggregateExec: mode=Partial, gby=[brand_id@0 as brand_id, class_id@1 as class_id, category_id@2 as category_id], aggr=[]
                │     ProjectionExec: expr=[i_brand_id@0 as brand_id, i_class_id@1 as class_id, i_category_id@2 as category_id]
                │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[i_brand_id@2, i_class_id@3, i_category_id@4]
                │         CoalescePartitionsExec
                │           [Stage 32] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
                │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, ss_item_sk@1)], projection=[ss_sold_date_sk@4, i_brand_id@1, i_class_id@2, i_category_id@3]
                │           CoalescePartitionsExec
                │             [Stage 33] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
                │           DistributedLeafExec:
                │             t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │             t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │             t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │             t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                └──────────────────────────────────────────────────
                  ┌───── Stage 32 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                  │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                  │   FilterExec: d_year@1 >= 1999 AND d_year@1 <= 2001, projection=[d_date_sk@0]
                  │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                  │       DistributedLeafExec:
                  │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                  │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                  │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                  │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                  └──────────────────────────────────────────────────
                  ┌───── Stage 33 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                  │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                  │   DistributedLeafExec:
                  │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                  │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                  │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                  │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                  └──────────────────────────────────────────────────
              ┌───── Stage 36 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_year@1 = 2001 AND d_moy@2 = 11, projection=[d_date_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001 AND d_moy@8 = 11, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 11 AND 11 <= d_moy_max@5, required_guarantees=[d_moy in (11), d_year in (2001)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001 AND d_moy@8 = 11, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 11 AND 11 <= d_moy_max@5, required_guarantees=[d_moy in (11), d_year in (2001)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001 AND d_moy@8 = 11, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 11 AND 11 <= d_moy_max@5, required_guarantees=[d_moy in (11), d_year in (2001)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001 AND d_moy@8 = 11, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 11 AND 11 <= d_moy_max@5, required_guarantees=[d_moy in (11), d_year in (2001)]
              └──────────────────────────────────────────────────
              ┌───── Stage 37 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id], file_type=parquet
              └──────────────────────────────────────────────────
            ┌───── Stage 43 ── Tasks: t0:[p0..p1]
            │ BroadcastExec: input_partitions=1, consumer_tasks=2, output_partitions=2
            │   ProjectionExec: expr=[CAST(avg(sq2.quantity * sq2.list_price)@0 AS Decimal128(32, 6)) as avg_sales.average_sales]
            │     AggregateExec: mode=Final, gby=[], aggr=[avg(sq2.quantity * sq2.list_price)]
            │       CoalescePartitionsExec
            │         [Stage 42] => NetworkCoalesceExec: output_partitions=12, input_tasks=4
            └──────────────────────────────────────────────────
              ┌───── Stage 42 ── Tasks: t0:[p0..p2] t1:[p3..p5] t2:[p6..p8] t3:[p9..p11]
              │ AggregateExec: mode=Partial, gby=[], aggr=[avg(sq2.quantity * sq2.list_price)]
              │   DistributedUnionExec: t0:[c0(0/2)] t1:[c0(1/2)] t2:[c1] t3:[c2]
              │     ProjectionExec: expr=[ss_quantity@0 as quantity, ss_list_price@1 as list_price]
              │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[ss_quantity@2, ss_list_price@3]
              │         CoalescePartitionsExec
              │           [Stage 39] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=6, input_tasks=4
              │         DistributedLeafExec:
              │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_quantity, ss_list_price], file_type=parquet, predicate=DynamicFilter [ empty ]
              │           t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_quantity, ss_list_price], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     ProjectionExec: expr=[cs_quantity@0 as quantity, cs_list_price@1 as list_price]
              │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, cs_sold_date_sk@0)], projection=[cs_quantity@2, cs_list_price@3]
              │         CoalescePartitionsExec
              │           [Stage 40] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=3, input_tasks=4
              │         DistributedLeafExec:
              │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_quantity, cs_list_price], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     ProjectionExec: expr=[ws_quantity@0 as quantity, ws_list_price@1 as list_price]
              │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ws_sold_date_sk@0)], projection=[ws_quantity@2, ws_list_price@3]
              │         CoalescePartitionsExec
              │           [Stage 41] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=3, input_tasks=4
              │         DistributedLeafExec:
              │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_quantity, ws_list_price], file_type=parquet, predicate=DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
                ┌───── Stage 39 ── Tasks: t0:[p0..p5] t1:[p6..p11] t2:[p12..p17] t3:[p18..p23]
                │ BroadcastExec: input_partitions=3, consumer_tasks=2, output_partitions=6
                │   FilterExec: d_year@1 >= 1999 AND d_year@1 <= 2001, projection=[d_date_sk@0]
                │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                └──────────────────────────────────────────────────
                ┌───── Stage 40 ── Tasks: t0:[p0..p2] t1:[p3..p5] t2:[p6..p8] t3:[p9..p11]
                │ BroadcastExec: input_partitions=3, consumer_tasks=1, output_partitions=3
                │   FilterExec: d_year@1 >= 1999 AND d_year@1 <= 2001, projection=[d_date_sk@0]
                │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                └──────────────────────────────────────────────────
                ┌───── Stage 41 ── Tasks: t0:[p0..p2] t1:[p3..p5] t2:[p6..p8] t3:[p9..p11]
                │ BroadcastExec: input_partitions=3, consumer_tasks=1, output_partitions=3
                │   FilterExec: d_year@1 >= 1999 AND d_year@1 <= 2001, projection=[d_date_sk@0]
                │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                └──────────────────────────────────────────────────
            ┌───── Stage 57 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([i_brand_id@0, i_class_id@1, i_category_id@2], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[i_brand_id@2 as i_brand_id, i_class_id@3 as i_class_id, i_category_id@4 as i_category_id], aggr=[sum(web_sales.ws_quantity * web_sales.ws_list_price), count(Int64(1))]
            │     HashJoinExec: mode=CollectLeft, join_type=RightSemi, on=[(ss_item_sk@0, ws_item_sk@0)], projection=[ws_quantity@1, ws_list_price@2, i_brand_id@3, i_class_id@4, i_category_id@5]
            │       CoalescePartitionsExec
            │         [Stage 54] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ws_sold_date_sk@0)], projection=[ws_item_sk@2, ws_quantity@3, ws_list_price@4, i_brand_id@5, i_class_id@6, i_category_id@7]
            │         CoalescePartitionsExec
            │           [Stage 55] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, ws_item_sk@1)], projection=[ws_sold_date_sk@4, ws_item_sk@5, ws_quantity@6, ws_list_price@7, i_brand_id@1, i_class_id@2, i_category_id@3]
            │           CoalescePartitionsExec
            │             [Stage 56] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │           DistributedLeafExec:
            │             t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_quantity, ws_list_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_quantity, ws_list_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_quantity, ws_list_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_quantity, ws_list_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 54 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   ProjectionExec: expr=[i_item_sk@0 as ss_item_sk]
              │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_brand_id@1, brand_id@0), (i_class_id@2, class_id@1), (i_category_id@3, category_id@2)], projection=[i_item_sk@0]
              │       CoalescePartitionsExec
              │         [Stage 44] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
              │       HashJoinExec: mode=Partitioned, join_type=RightSemi, on=[(i_brand_id@0, brand_id@0), (i_class_id@1, class_id@1), (i_category_id@2, category_id@2)], NullsEqual: true
              │         [Stage 47] => NetworkShuffleExec: output_partitions=3, input_tasks=4
              │         AggregateExec: mode=SinglePartitioned, gby=[brand_id@0 as brand_id, class_id@1 as class_id, category_id@2 as category_id], aggr=[]
              │           HashJoinExec: mode=Partitioned, join_type=RightSemi, on=[(i_brand_id@0, brand_id@0), (i_class_id@1, class_id@1), (i_category_id@2, category_id@2)], NullsEqual: true
              │             [Stage 50] => NetworkShuffleExec: output_partitions=3, input_tasks=4
              │             AggregateExec: mode=FinalPartitioned, gby=[brand_id@0 as brand_id, class_id@1 as class_id, category_id@2 as category_id], aggr=[]
              │               [Stage 53] => NetworkShuffleExec: output_partitions=3, input_tasks=4
              └──────────────────────────────────────────────────
                ┌───── Stage 44 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                │   DistributedLeafExec:
                │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id], file_type=parquet
                │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id], file_type=parquet
                │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id], file_type=parquet
                │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id], file_type=parquet
                └──────────────────────────────────────────────────
                ┌───── Stage 47 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
                │ RepartitionExec: partitioning=Hash([i_brand_id@0, i_class_id@1, i_category_id@2], 12), input_partitions=3
                │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ws_sold_date_sk@0)], projection=[i_brand_id@2, i_class_id@3, i_category_id@4]
                │     CoalescePartitionsExec
                │       [Stage 45] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
                │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, ws_item_sk@1)], projection=[ws_sold_date_sk@4, i_brand_id@1, i_class_id@2, i_category_id@3]
                │       CoalescePartitionsExec
                │         [Stage 46] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │         t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │         t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │         t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                └──────────────────────────────────────────────────
                  ┌───── Stage 45 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                  │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                  │   FilterExec: d_year@1 >= 1999 AND d_year@1 <= 2001, projection=[d_date_sk@0]
                  │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                  │       DistributedLeafExec:
                  │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                  │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                  │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                  │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                  └──────────────────────────────────────────────────
                  ┌───── Stage 46 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                  │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                  │   DistributedLeafExec:
                  │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id], file_type=parquet
                  │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id], file_type=parquet
                  │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id], file_type=parquet
                  │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id], file_type=parquet
                  └──────────────────────────────────────────────────
                ┌───── Stage 50 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
                │ RepartitionExec: partitioning=Hash([i_brand_id@0, i_class_id@1, i_category_id@2], 12), input_partitions=3
                │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, cs_sold_date_sk@0)], projection=[i_brand_id@2, i_class_id@3, i_category_id@4]
                │     CoalescePartitionsExec
                │       [Stage 48] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
                │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, cs_item_sk@1)], projection=[cs_sold_date_sk@4, i_brand_id@1, i_class_id@2, i_category_id@3]
                │       CoalescePartitionsExec
                │         [Stage 49] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_item_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │         t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_item_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │         t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_item_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │         t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_item_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                └──────────────────────────────────────────────────
                  ┌───── Stage 48 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                  │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                  │   FilterExec: d_year@1 >= 1999 AND d_year@1 <= 2001, projection=[d_date_sk@0]
                  │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                  │       DistributedLeafExec:
                  │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                  │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                  │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                  │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                  └──────────────────────────────────────────────────
                  ┌───── Stage 49 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                  │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                  │   DistributedLeafExec:
                  │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id], file_type=parquet
                  │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id], file_type=parquet
                  │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id], file_type=parquet
                  │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id], file_type=parquet
                  └──────────────────────────────────────────────────
                ┌───── Stage 53 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
                │ RepartitionExec: partitioning=Hash([brand_id@0, class_id@1, category_id@2], 12), input_partitions=3
                │   AggregateExec: mode=Partial, gby=[brand_id@0 as brand_id, class_id@1 as class_id, category_id@2 as category_id], aggr=[]
                │     ProjectionExec: expr=[i_brand_id@0 as brand_id, i_class_id@1 as class_id, i_category_id@2 as category_id]
                │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[i_brand_id@2, i_class_id@3, i_category_id@4]
                │         CoalescePartitionsExec
                │           [Stage 51] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
                │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, ss_item_sk@1)], projection=[ss_sold_date_sk@4, i_brand_id@1, i_class_id@2, i_category_id@3]
                │           CoalescePartitionsExec
                │             [Stage 52] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
                │           DistributedLeafExec:
                │             t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │             t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │             t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │             t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                └──────────────────────────────────────────────────
                  ┌───── Stage 51 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                  │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                  │   FilterExec: d_year@1 >= 1999 AND d_year@1 <= 2001, projection=[d_date_sk@0]
                  │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                  │       DistributedLeafExec:
                  │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                  │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                  │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                  │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 >= 1999 AND d_year@6 <= 2001, pruning_predicate=d_year_null_count@1 != row_count@2 AND d_year_max@0 >= 1999 AND d_year_null_count@1 != row_count@2 AND d_year_min@3 <= 2001, required_guarantees=[]
                  └──────────────────────────────────────────────────
                  ┌───── Stage 52 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                  │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                  │   DistributedLeafExec:
                  │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                  │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                  │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                  │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                  └──────────────────────────────────────────────────
              ┌───── Stage 55 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_year@1 = 2001 AND d_moy@2 = 11, projection=[d_date_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001 AND d_moy@8 = 11, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 11 AND 11 <= d_moy_max@5, required_guarantees=[d_moy in (11), d_year in (2001)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001 AND d_moy@8 = 11, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 11 AND 11 <= d_moy_max@5, required_guarantees=[d_moy in (11), d_year in (2001)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001 AND d_moy@8 = 11, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 11 AND 11 <= d_moy_max@5, required_guarantees=[d_moy in (11), d_year in (2001)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001 AND d_moy@8 = 11, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 11 AND 11 <= d_moy_max@5, required_guarantees=[d_moy in (11), d_year in (2001)]
              └──────────────────────────────────────────────────
              ┌───── Stage 56 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id], file_type=parquet
              └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_15() -> Result<()> {
        let display = test_tpcds_query("q15").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [ca_zip@0 ASC], fetch=100
        │   [Stage 5] => NetworkCoalesceExec: output_partitions=6, input_tasks=2
        └──────────────────────────────────────────────────
          ┌───── Stage 5 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ SortExec: TopK(fetch=100), expr=[ca_zip@0 ASC], preserve_partitioning=[true]
          │   AggregateExec: mode=FinalPartitioned, gby=[ca_zip@0 as ca_zip], aggr=[sum(catalog_sales.cs_sales_price)]
          │     [Stage 4] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 4 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([ca_zip@0], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[ca_zip@1 as ca_zip], aggr=[sum(catalog_sales.cs_sales_price)]
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, cs_sold_date_sk@0)], projection=[cs_sales_price@2, ca_zip@3]
            │       CoalescePartitionsExec
            │         [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(ca_address_sk@0, c_current_addr_sk@2)], filter=substr(ca_zip@2, 1, 5) IN (SET) ([85669, 86197, 88274, 83405, 86475, 85392, 85460, 80348, 81792]) OR ca_state@1 = CA OR ca_state@1 = WA OR ca_state@1 = GA OR cs_sales_price@0 > Some(50000),7,2, projection=[cs_sold_date_sk@3, cs_sales_price@4, ca_zip@2]
            │         CoalescePartitionsExec
            │           [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(c_customer_sk@0, cs_bill_customer_sk@1)], projection=[cs_sold_date_sk@2, cs_sales_price@4, c_current_addr_sk@1]
            │           CoalescePartitionsExec
            │             [Stage 3] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │           DistributedLeafExec:
            │             t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_bill_customer_sk, cs_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_bill_customer_sk, cs_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_bill_customer_sk, cs_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_bill_customer_sk, cs_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 1 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_qoy@2 = 2 AND d_year@1 = 2001, projection=[d_date_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_qoy], file_type=parquet, predicate=d_qoy@10 = 2 AND d_year@6 = 2001, pruning_predicate=d_qoy_null_count@2 != row_count@3 AND d_qoy_min@0 <= 2 AND 2 <= d_qoy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 2001 AND 2001 <= d_year_max@5, required_guarantees=[d_qoy in (2), d_year in (2001)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_qoy], file_type=parquet, predicate=d_qoy@10 = 2 AND d_year@6 = 2001, pruning_predicate=d_qoy_null_count@2 != row_count@3 AND d_qoy_min@0 <= 2 AND 2 <= d_qoy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 2001 AND 2001 <= d_year_max@5, required_guarantees=[d_qoy in (2), d_year in (2001)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_qoy], file_type=parquet, predicate=d_qoy@10 = 2 AND d_year@6 = 2001, pruning_predicate=d_qoy_null_count@2 != row_count@3 AND d_qoy_min@0 <= 2 AND 2 <= d_qoy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 2001 AND 2001 <= d_year_max@5, required_guarantees=[d_qoy in (2), d_year in (2001)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_qoy], file_type=parquet, predicate=d_qoy@10 = 2 AND d_year@6 = 2001, pruning_predicate=d_qoy_null_count@2 != row_count@3 AND d_qoy_min@0 <= 2 AND 2 <= d_qoy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 2001 AND 2001 <= d_year_max@5, required_guarantees=[d_qoy in (2), d_year in (2001)]
              └──────────────────────────────────────────────────
              ┌───── Stage 2 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_state, ca_zip], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_state, ca_zip], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_state, ca_zip], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_state, ca_zip], file_type=parquet, predicate=DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
              ┌───── Stage 3 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_addr_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_addr_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_addr_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_addr_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_16() -> Result<()> {
        let display = test_tpcds_query("q16").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ ProjectionExec: expr=[count(alias1)@0 as order count, sum(alias2)@1 as total shipping cost, sum(alias3)@2 as total net profit]
        │   GlobalLimitExec: skip=0, fetch=100
        │     AggregateExec: mode=Final, gby=[], aggr=[count(alias1), sum(alias2), sum(alias3)]
        │       CoalescePartitionsExec
        │         AggregateExec: mode=Partial, gby=[], aggr=[count(alias1), sum(alias2), sum(alias3)]
        │           AggregateExec: mode=FinalPartitioned, gby=[alias1@0 as alias1], aggr=[sum(cs1.cs_ext_ship_cost) as alias2, sum(cs1.cs_net_profit) as alias3]
        │             RepartitionExec: partitioning=Hash([alias1@0], 3), input_partitions=3
        │               AggregateExec: mode=Partial, gby=[cs_order_number@0 as alias1], aggr=[sum(cs1.cs_ext_ship_cost) as alias2, sum(cs1.cs_net_profit) as alias3]
        │                 HashJoinExec: mode=CollectLeft, join_type=LeftAnti, on=[(cs_order_number@0, cr_order_number@0)]
        │                   CoalescePartitionsExec
        │                     HashJoinExec: mode=CollectLeft, join_type=LeftSemi, on=[(cs_order_number@1, cs_order_number@1)], filter=cs_warehouse_sk@0 != cs_warehouse_sk@1, projection=[cs_order_number@1, cs_ext_ship_cost@2, cs_net_profit@3]
        │                       CoalescePartitionsExec
        │                         [Stage 4] => NetworkCoalesceExec: output_partitions=12, input_tasks=4
        │                       DistributedLeafExec:
        │                         t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_warehouse_sk, cs_order_number], file_type=parquet, predicate=DynamicFilter [ empty ]
        │                   DistributedLeafExec:
        │                     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-3.parquet:<int>..<int>]]}, projection=[cr_order_number], file_type=parquet, predicate=DynamicFilter [ empty ]
        └──────────────────────────────────────────────────
          ┌───── Stage 4 ── Tasks: t0:[p0..p2] t1:[p3..p5] t2:[p6..p8] t3:[p9..p11]
          │ HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(cc_call_center_sk@0, cs_call_center_sk@0)], projection=[cs_warehouse_sk@2, cs_order_number@3, cs_ext_ship_cost@4, cs_net_profit@5]
          │   CoalescePartitionsExec
          │     [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
          │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(ca_address_sk@0, cs_ship_addr_sk@0)], projection=[cs_call_center_sk@2, cs_warehouse_sk@3, cs_order_number@4, cs_ext_ship_cost@5, cs_net_profit@6]
          │     CoalescePartitionsExec
          │       [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
          │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, cs_ship_date_sk@0)], projection=[cs_ship_addr_sk@2, cs_call_center_sk@3, cs_warehouse_sk@4, cs_order_number@5, cs_ext_ship_cost@6, cs_net_profit@7]
          │       CoalescePartitionsExec
          │         [Stage 3] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
          │       DistributedLeafExec:
          │         t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>]]}, projection=[cs_ship_date_sk, cs_ship_addr_sk, cs_call_center_sk, cs_warehouse_sk, cs_order_number, cs_ext_ship_cost, cs_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          │         t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_ship_date_sk, cs_ship_addr_sk, cs_call_center_sk, cs_warehouse_sk, cs_order_number, cs_ext_ship_cost, cs_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          │         t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_ship_date_sk, cs_ship_addr_sk, cs_call_center_sk, cs_warehouse_sk, cs_order_number, cs_ext_ship_cost, cs_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          │         t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_ship_date_sk, cs_ship_addr_sk, cs_call_center_sk, cs_warehouse_sk, cs_order_number, cs_ext_ship_cost, cs_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          └──────────────────────────────────────────────────
            ┌───── Stage 1 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   FilterExec: cc_county@1 = Williamson County, projection=[cc_call_center_sk@0]
            │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/call_center/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/call_center/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/call_center/part-1.parquet:<int>..<int>]]}, projection=[cc_call_center_sk, cc_county], file_type=parquet, predicate=cc_county@25 = Williamson County, pruning_predicate=cc_county_null_count@2 != row_count@3 AND cc_county_min@0 <= Williamson County AND Williamson County <= cc_county_max@1, required_guarantees=[cc_county in (Williamson County)]
            │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/call_center/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/call_center/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/call_center/part-2.parquet:<int>..<int>]]}, projection=[cc_call_center_sk, cc_county], file_type=parquet, predicate=cc_county@25 = Williamson County, pruning_predicate=cc_county_null_count@2 != row_count@3 AND cc_county_min@0 <= Williamson County AND Williamson County <= cc_county_max@1, required_guarantees=[cc_county in (Williamson County)]
            │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/call_center/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/call_center/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/call_center/part-3.parquet:<int>..<int>]]}, projection=[cc_call_center_sk, cc_county], file_type=parquet, predicate=cc_county@25 = Williamson County, pruning_predicate=cc_county_null_count@2 != row_count@3 AND cc_county_min@0 <= Williamson County AND Williamson County <= cc_county_max@1, required_guarantees=[cc_county in (Williamson County)]
            │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/call_center/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/call_center/part-3.parquet:<int>..<int>]]}, projection=[cc_call_center_sk, cc_county], file_type=parquet, predicate=cc_county@25 = Williamson County, pruning_predicate=cc_county_null_count@2 != row_count@3 AND cc_county_min@0 <= Williamson County AND Williamson County <= cc_county_max@1, required_guarantees=[cc_county in (Williamson County)]
            └──────────────────────────────────────────────────
            ┌───── Stage 2 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   FilterExec: ca_state@1 = GA, projection=[ca_address_sk@0]
            │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_state], file_type=parquet, predicate=ca_state@8 = GA, pruning_predicate=ca_state_null_count@2 != row_count@3 AND ca_state_min@0 <= GA AND GA <= ca_state_max@1, required_guarantees=[ca_state in (GA)]
            │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_state], file_type=parquet, predicate=ca_state@8 = GA, pruning_predicate=ca_state_null_count@2 != row_count@3 AND ca_state_min@0 <= GA AND GA <= ca_state_max@1, required_guarantees=[ca_state in (GA)]
            │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_state], file_type=parquet, predicate=ca_state@8 = GA, pruning_predicate=ca_state_null_count@2 != row_count@3 AND ca_state_min@0 <= GA AND GA <= ca_state_max@1, required_guarantees=[ca_state in (GA)]
            │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_state], file_type=parquet, predicate=ca_state@8 = GA, pruning_predicate=ca_state_null_count@2 != row_count@3 AND ca_state_min@0 <= GA AND GA <= ca_state_max@1, required_guarantees=[ca_state in (GA)]
            └──────────────────────────────────────────────────
            ┌───── Stage 3 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   FilterExec: d_date@1 >= 2002-02-01 AND d_date@1 <= 2002-04-02, projection=[d_date_sk@0]
            │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2002-02-01 AND d_date@2 <= 2002-04-02, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2002-02-01 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2002-04-02, required_guarantees=[]
            │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2002-02-01 AND d_date@2 <= 2002-04-02, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2002-02-01 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2002-04-02, required_guarantees=[]
            │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2002-02-01 AND d_date@2 <= 2002-04-02, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2002-02-01 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2002-04-02, required_guarantees=[]
            │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2002-02-01 AND d_date@2 <= 2002-04-02, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2002-02-01 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2002-04-02, required_guarantees=[]
            └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_17() -> Result<()> {
        let display = test_tpcds_query("q17").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [i_item_id@0 ASC, i_item_desc@1 ASC, s_state@2 ASC], fetch=100
        │   [Stage 11] => NetworkCoalesceExec: output_partitions=6, input_tasks=2
        └──────────────────────────────────────────────────
          ┌───── Stage 11 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ SortExec: TopK(fetch=100), expr=[i_item_id@0 ASC, i_item_desc@1 ASC, s_state@2 ASC], preserve_partitioning=[true]
          │   ProjectionExec: expr=[i_item_id@0 as i_item_id, i_item_desc@1 as i_item_desc, s_state@2 as s_state, count(store_sales.ss_quantity)@3 as store_sales_quantitycount, avg(store_sales.ss_quantity)@4 as store_sales_quantityave, stddev(store_sales.ss_quantity)@5 as store_sales_quantitystdev, stddev(store_sales.ss_quantity)@5 / avg(store_sales.ss_quantity)@4 as store_sales_quantitycov, count(store_returns.sr_return_quantity)@6 as store_returns_quantitycount, avg(store_returns.sr_return_quantity)@7 as store_returns_quantityave, stddev(store_returns.sr_return_quantity)@8 as store_returns_quantitystdev, stddev(store_returns.sr_return_quantity)@8 / avg(store_returns.sr_return_quantity)@7 as store_returns_quantitycov, count(catalog_sales.cs_quantity)@9 as catalog_sales_quantitycount, avg(catalog_sales.cs_quantity)@10 as catalog_sales_quantityave, stddev(catalog_sales.cs_quantity)@11 as catalog_sales_quantitystdev, stddev(catalog_sales.cs_quantity)@11 / avg(catalog_sales.cs_quantity)@10 as catalog_sales_quantitycov]
          │     AggregateExec: mode=FinalPartitioned, gby=[i_item_id@0 as i_item_id, i_item_desc@1 as i_item_desc, s_state@2 as s_state], aggr=[count(store_sales.ss_quantity), avg(store_sales.ss_quantity), stddev(store_sales.ss_quantity), count(store_returns.sr_return_quantity), avg(store_returns.sr_return_quantity), stddev(store_returns.sr_return_quantity), count(catalog_sales.cs_quantity), avg(catalog_sales.cs_quantity), stddev(catalog_sales.cs_quantity)]
          │       [Stage 10] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 10 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([i_item_id@0, i_item_desc@1, s_state@2], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[i_item_id@7 as i_item_id, i_item_desc@8 as i_item_desc, s_state@6 as s_state], aggr=[count(store_sales.ss_quantity), avg(store_sales.ss_quantity), stddev(store_sales.ss_quantity), count(store_returns.sr_return_quantity), avg(store_returns.sr_return_quantity), stddev(store_returns.sr_return_quantity), count(catalog_sales.cs_quantity), avg(catalog_sales.cs_quantity), stddev(catalog_sales.cs_quantity)]
            │     ProjectionExec: expr=[CAST(ss_quantity@0 AS Float64) as __common_expr_1, CAST(sr_return_quantity@1 AS Float64) as __common_expr_2, CAST(cs_quantity@2 AS Float64) as __common_expr_3, ss_quantity@0 as ss_quantity, sr_return_quantity@1 as sr_return_quantity, cs_quantity@2 as cs_quantity, s_state@3 as s_state, i_item_id@4 as i_item_id, i_item_desc@5 as i_item_desc]
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, ss_item_sk@0)], projection=[ss_quantity@4, sr_return_quantity@5, cs_quantity@6, s_state@7, i_item_id@1, i_item_desc@2]
            │         CoalescePartitionsExec
            │           [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(s_store_sk@0, ss_store_sk@1)], projection=[ss_item_sk@2, ss_quantity@4, sr_return_quantity@5, cs_quantity@6, s_state@1]
            │           CoalescePartitionsExec
            │             [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │           HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, cs_sold_date_sk@4)], projection=[ss_item_sk@1, ss_store_sk@2, ss_quantity@3, sr_return_quantity@4, cs_quantity@6]
            │             CoalescePartitionsExec
            │               [Stage 3] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │             HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, sr_returned_date_sk@3)], projection=[ss_item_sk@1, ss_store_sk@2, ss_quantity@3, sr_return_quantity@5, cs_sold_date_sk@6, cs_quantity@7]
            │               CoalescePartitionsExec
            │                 [Stage 4] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │               HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[ss_item_sk@2, ss_store_sk@3, ss_quantity@4, sr_returned_date_sk@5, sr_return_quantity@6, cs_sold_date_sk@7, cs_quantity@8]
            │                 CoalescePartitionsExec
            │                   [Stage 5] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │                 HashJoinExec: mode=Partitioned, join_type=Inner, on=[(cs_bill_customer_sk@1, sr_customer_sk@6), (cs_item_sk@2, sr_item_sk@5)], projection=[ss_sold_date_sk@4, ss_item_sk@5, ss_store_sk@6, ss_quantity@7, sr_returned_date_sk@8, sr_return_quantity@11, cs_sold_date_sk@0, cs_quantity@3]
            │                   [Stage 6] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            │                   [Stage 9] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            └──────────────────────────────────────────────────
              ┌───── Stage 1 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id, i_item_desc], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id, i_item_desc], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id, i_item_desc], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id, i_item_desc], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 2 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>]]}, projection=[s_store_sk, s_state], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>]]}, projection=[s_store_sk, s_state], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_state], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_state], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 3 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_quarter_name@1 = 2001Q1 OR d_quarter_name@1 = 2001Q2 OR d_quarter_name@1 = 2001Q3, projection=[d_date_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_quarter_name], file_type=parquet, predicate=d_quarter_name@15 = 2001Q1 OR d_quarter_name@15 = 2001Q2 OR d_quarter_name@15 = 2001Q3, pruning_predicate=d_quarter_name_null_count@2 != row_count@3 AND d_quarter_name_min@0 <= 2001Q1 AND 2001Q1 <= d_quarter_name_max@1 OR d_quarter_name_null_count@2 != row_count@3 AND d_quarter_name_min@0 <= 2001Q2 AND 2001Q2 <= d_quarter_name_max@1 OR d_quarter_name_null_count@2 != row_count@3 AND d_quarter_name_min@0 <= 2001Q3 AND 2001Q3 <= d_quarter_name_max@1, required_guarantees=[d_quarter_name in (2001Q1, 2001Q2, 2001Q3)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_quarter_name], file_type=parquet, predicate=d_quarter_name@15 = 2001Q1 OR d_quarter_name@15 = 2001Q2 OR d_quarter_name@15 = 2001Q3, pruning_predicate=d_quarter_name_null_count@2 != row_count@3 AND d_quarter_name_min@0 <= 2001Q1 AND 2001Q1 <= d_quarter_name_max@1 OR d_quarter_name_null_count@2 != row_count@3 AND d_quarter_name_min@0 <= 2001Q2 AND 2001Q2 <= d_quarter_name_max@1 OR d_quarter_name_null_count@2 != row_count@3 AND d_quarter_name_min@0 <= 2001Q3 AND 2001Q3 <= d_quarter_name_max@1, required_guarantees=[d_quarter_name in (2001Q1, 2001Q2, 2001Q3)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_quarter_name], file_type=parquet, predicate=d_quarter_name@15 = 2001Q1 OR d_quarter_name@15 = 2001Q2 OR d_quarter_name@15 = 2001Q3, pruning_predicate=d_quarter_name_null_count@2 != row_count@3 AND d_quarter_name_min@0 <= 2001Q1 AND 2001Q1 <= d_quarter_name_max@1 OR d_quarter_name_null_count@2 != row_count@3 AND d_quarter_name_min@0 <= 2001Q2 AND 2001Q2 <= d_quarter_name_max@1 OR d_quarter_name_null_count@2 != row_count@3 AND d_quarter_name_min@0 <= 2001Q3 AND 2001Q3 <= d_quarter_name_max@1, required_guarantees=[d_quarter_name in (2001Q1, 2001Q2, 2001Q3)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_quarter_name], file_type=parquet, predicate=d_quarter_name@15 = 2001Q1 OR d_quarter_name@15 = 2001Q2 OR d_quarter_name@15 = 2001Q3, pruning_predicate=d_quarter_name_null_count@2 != row_count@3 AND d_quarter_name_min@0 <= 2001Q1 AND 2001Q1 <= d_quarter_name_max@1 OR d_quarter_name_null_count@2 != row_count@3 AND d_quarter_name_min@0 <= 2001Q2 AND 2001Q2 <= d_quarter_name_max@1 OR d_quarter_name_null_count@2 != row_count@3 AND d_quarter_name_min@0 <= 2001Q3 AND 2001Q3 <= d_quarter_name_max@1, required_guarantees=[d_quarter_name in (2001Q1, 2001Q2, 2001Q3)]
              └──────────────────────────────────────────────────
              ┌───── Stage 4 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_quarter_name@1 = 2001Q1 OR d_quarter_name@1 = 2001Q2 OR d_quarter_name@1 = 2001Q3, projection=[d_date_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_quarter_name], file_type=parquet, predicate=d_quarter_name@15 = 2001Q1 OR d_quarter_name@15 = 2001Q2 OR d_quarter_name@15 = 2001Q3, pruning_predicate=d_quarter_name_null_count@2 != row_count@3 AND d_quarter_name_min@0 <= 2001Q1 AND 2001Q1 <= d_quarter_name_max@1 OR d_quarter_name_null_count@2 != row_count@3 AND d_quarter_name_min@0 <= 2001Q2 AND 2001Q2 <= d_quarter_name_max@1 OR d_quarter_name_null_count@2 != row_count@3 AND d_quarter_name_min@0 <= 2001Q3 AND 2001Q3 <= d_quarter_name_max@1, required_guarantees=[d_quarter_name in (2001Q1, 2001Q2, 2001Q3)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_quarter_name], file_type=parquet, predicate=d_quarter_name@15 = 2001Q1 OR d_quarter_name@15 = 2001Q2 OR d_quarter_name@15 = 2001Q3, pruning_predicate=d_quarter_name_null_count@2 != row_count@3 AND d_quarter_name_min@0 <= 2001Q1 AND 2001Q1 <= d_quarter_name_max@1 OR d_quarter_name_null_count@2 != row_count@3 AND d_quarter_name_min@0 <= 2001Q2 AND 2001Q2 <= d_quarter_name_max@1 OR d_quarter_name_null_count@2 != row_count@3 AND d_quarter_name_min@0 <= 2001Q3 AND 2001Q3 <= d_quarter_name_max@1, required_guarantees=[d_quarter_name in (2001Q1, 2001Q2, 2001Q3)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_quarter_name], file_type=parquet, predicate=d_quarter_name@15 = 2001Q1 OR d_quarter_name@15 = 2001Q2 OR d_quarter_name@15 = 2001Q3, pruning_predicate=d_quarter_name_null_count@2 != row_count@3 AND d_quarter_name_min@0 <= 2001Q1 AND 2001Q1 <= d_quarter_name_max@1 OR d_quarter_name_null_count@2 != row_count@3 AND d_quarter_name_min@0 <= 2001Q2 AND 2001Q2 <= d_quarter_name_max@1 OR d_quarter_name_null_count@2 != row_count@3 AND d_quarter_name_min@0 <= 2001Q3 AND 2001Q3 <= d_quarter_name_max@1, required_guarantees=[d_quarter_name in (2001Q1, 2001Q2, 2001Q3)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_quarter_name], file_type=parquet, predicate=d_quarter_name@15 = 2001Q1 OR d_quarter_name@15 = 2001Q2 OR d_quarter_name@15 = 2001Q3, pruning_predicate=d_quarter_name_null_count@2 != row_count@3 AND d_quarter_name_min@0 <= 2001Q1 AND 2001Q1 <= d_quarter_name_max@1 OR d_quarter_name_null_count@2 != row_count@3 AND d_quarter_name_min@0 <= 2001Q2 AND 2001Q2 <= d_quarter_name_max@1 OR d_quarter_name_null_count@2 != row_count@3 AND d_quarter_name_min@0 <= 2001Q3 AND 2001Q3 <= d_quarter_name_max@1, required_guarantees=[d_quarter_name in (2001Q1, 2001Q2, 2001Q3)]
              └──────────────────────────────────────────────────
              ┌───── Stage 5 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_quarter_name@1 = 2001Q1, projection=[d_date_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_quarter_name], file_type=parquet, predicate=d_quarter_name@15 = 2001Q1, pruning_predicate=d_quarter_name_null_count@2 != row_count@3 AND d_quarter_name_min@0 <= 2001Q1 AND 2001Q1 <= d_quarter_name_max@1, required_guarantees=[d_quarter_name in (2001Q1)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_quarter_name], file_type=parquet, predicate=d_quarter_name@15 = 2001Q1, pruning_predicate=d_quarter_name_null_count@2 != row_count@3 AND d_quarter_name_min@0 <= 2001Q1 AND 2001Q1 <= d_quarter_name_max@1, required_guarantees=[d_quarter_name in (2001Q1)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_quarter_name], file_type=parquet, predicate=d_quarter_name@15 = 2001Q1, pruning_predicate=d_quarter_name_null_count@2 != row_count@3 AND d_quarter_name_min@0 <= 2001Q1 AND 2001Q1 <= d_quarter_name_max@1, required_guarantees=[d_quarter_name in (2001Q1)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_quarter_name], file_type=parquet, predicate=d_quarter_name@15 = 2001Q1, pruning_predicate=d_quarter_name_null_count@2 != row_count@3 AND d_quarter_name_min@0 <= 2001Q1 AND 2001Q1 <= d_quarter_name_max@1, required_guarantees=[d_quarter_name in (2001Q1)]
              └──────────────────────────────────────────────────
              ┌───── Stage 6 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
              │ RepartitionExec: partitioning=Hash([cs_bill_customer_sk@1, cs_item_sk@2], 12), input_partitions=3
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_bill_customer_sk, cs_item_sk, cs_quantity], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_bill_customer_sk, cs_item_sk, cs_quantity], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_bill_customer_sk, cs_item_sk, cs_quantity], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_bill_customer_sk, cs_item_sk, cs_quantity], file_type=parquet, predicate=DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
              ┌───── Stage 9 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
              │ RepartitionExec: partitioning=Hash([sr_customer_sk@6, sr_item_sk@5], 12), input_partitions=3
              │   HashJoinExec: mode=Partitioned, join_type=Inner, on=[(sr_customer_sk@2, ss_customer_sk@2), (sr_item_sk@1, ss_item_sk@1), (sr_ticket_number@3, ss_ticket_number@4)], projection=[ss_sold_date_sk@5, ss_item_sk@6, ss_store_sk@8, ss_quantity@10, sr_returned_date_sk@0, sr_item_sk@1, sr_customer_sk@2, sr_return_quantity@4]
              │     [Stage 7] => NetworkShuffleExec: output_partitions=3, input_tasks=4
              │     [Stage 8] => NetworkShuffleExec: output_partitions=3, input_tasks=4
              └──────────────────────────────────────────────────
                ┌───── Stage 7 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
                │ RepartitionExec: partitioning=Hash([sr_customer_sk@2, sr_item_sk@1, sr_ticket_number@3], 12), input_partitions=3
                │   DistributedLeafExec:
                │     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>]]}, projection=[sr_returned_date_sk, sr_item_sk, sr_customer_sk, sr_ticket_number, sr_return_quantity], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │     t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-3.parquet:<int>..<int>]]}, projection=[sr_returned_date_sk, sr_item_sk, sr_customer_sk, sr_ticket_number, sr_return_quantity], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │     t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-3.parquet:<int>..<int>]]}, projection=[sr_returned_date_sk, sr_item_sk, sr_customer_sk, sr_ticket_number, sr_return_quantity], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │     t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-3.parquet:<int>..<int>]]}, projection=[sr_returned_date_sk, sr_item_sk, sr_customer_sk, sr_ticket_number, sr_return_quantity], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                └──────────────────────────────────────────────────
                ┌───── Stage 8 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
                │ RepartitionExec: partitioning=Hash([ss_customer_sk@2, ss_item_sk@1, ss_ticket_number@4], 12), input_partitions=3
                │   DistributedLeafExec:
                │     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_customer_sk, ss_store_sk, ss_ticket_number, ss_quantity], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │     t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_customer_sk, ss_store_sk, ss_ticket_number, ss_quantity], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │     t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_customer_sk, ss_store_sk, ss_ticket_number, ss_quantity], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │     t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_customer_sk, ss_store_sk, ss_ticket_number, ss_quantity], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_18() -> Result<()> {
        let display = test_tpcds_query("q18").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [ca_country@1 ASC, ca_state@2 ASC, ca_county@3 ASC, i_item_id@0 ASC], fetch=100
        │   [Stage 10] => NetworkCoalesceExec: output_partitions=6, input_tasks=2
        └──────────────────────────────────────────────────
          ┌───── Stage 10 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ SortExec: TopK(fetch=100), expr=[ca_country@1 ASC, ca_state@2 ASC, ca_county@3 ASC, i_item_id@0 ASC], preserve_partitioning=[true]
          │   ProjectionExec: expr=[i_item_id@0 as i_item_id, ca_country@1 as ca_country, ca_state@2 as ca_state, ca_county@3 as ca_county, avg(catalog_sales.cs_quantity)@5 as agg1, avg(catalog_sales.cs_list_price)@6 as agg2, avg(catalog_sales.cs_coupon_amt)@7 as agg3, avg(catalog_sales.cs_sales_price)@8 as agg4, avg(catalog_sales.cs_net_profit)@9 as agg5, avg(customer.c_birth_year)@10 as agg6, avg(cd1.cd_dep_count)@11 as agg7]
          │     AggregateExec: mode=FinalPartitioned, gby=[i_item_id@0 as i_item_id, ca_country@1 as ca_country, ca_state@2 as ca_state, ca_county@3 as ca_county, __grouping_id@4 as __grouping_id], aggr=[avg(catalog_sales.cs_quantity), avg(catalog_sales.cs_list_price), avg(catalog_sales.cs_coupon_amt), avg(catalog_sales.cs_sales_price), avg(catalog_sales.cs_net_profit), avg(customer.c_birth_year), avg(cd1.cd_dep_count)]
          │       [Stage 9] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 9 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([i_item_id@0, ca_country@1, ca_state@2, ca_county@3, __grouping_id@4], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[(NULL as i_item_id, NULL as ca_country, NULL as ca_state, NULL as ca_county), (i_item_id@10 as i_item_id, NULL as ca_country, NULL as ca_state, NULL as ca_county), (i_item_id@10 as i_item_id, ca_country@9 as ca_country, NULL as ca_state, NULL as ca_county), (i_item_id@10 as i_item_id, ca_country@9 as ca_country, ca_state@8 as ca_state, NULL as ca_county), (i_item_id@10 as i_item_id, ca_country@9 as ca_country, ca_state@8 as ca_state, ca_county@7 as ca_county)], aggr=[avg(catalog_sales.cs_quantity), avg(catalog_sales.cs_list_price), avg(catalog_sales.cs_coupon_amt), avg(catalog_sales.cs_sales_price), avg(catalog_sales.cs_net_profit), avg(customer.c_birth_year), avg(cd1.cd_dep_count)]
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(cs_item_sk@0, i_item_sk@0)], projection=[cs_quantity@1, cs_list_price@2, cs_sales_price@3, cs_coupon_amt@4, cs_net_profit@5, cd_dep_count@6, c_birth_year@7, ca_county@8, ca_state@9, ca_country@10, i_item_id@12]
            │       CoalescePartitionsExec
            │         [Stage 8] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │       RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │         DistributedLeafExec:
            │           t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet, predicate=DynamicFilter [ empty ]
            │           t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet, predicate=DynamicFilter [ empty ]
            │           t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet, predicate=DynamicFilter [ empty ]
            │           t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet, predicate=DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 8 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, cs_sold_date_sk@0)], projection=[cs_item_sk@2, cs_quantity@3, cs_list_price@4, cs_sales_price@5, cs_coupon_amt@6, cs_net_profit@7, cd_dep_count@8, c_birth_year@9, ca_county@10, ca_state@11, ca_country@12]
              │     CoalescePartitionsExec
              │       [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
              │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(ca_address_sk@0, c_current_addr_sk@8)], projection=[cs_sold_date_sk@4, cs_item_sk@5, cs_quantity@6, cs_list_price@7, cs_sales_price@8, cs_coupon_amt@9, cs_net_profit@10, cd_dep_count@11, c_birth_year@13, ca_county@1, ca_state@2, ca_country@3]
              │       CoalescePartitionsExec
              │         [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
              │       HashJoinExec: mode=Partitioned, join_type=Inner, on=[(c_current_cdemo_sk@8, cd_demo_sk@0)], projection=[cs_sold_date_sk@0, cs_item_sk@1, cs_quantity@2, cs_list_price@3, cs_sales_price@4, cs_coupon_amt@5, cs_net_profit@6, cd_dep_count@7, c_current_addr_sk@9, c_birth_year@10]
              │         [Stage 6] => NetworkShuffleExec: output_partitions=3, input_tasks=4
              │         [Stage 7] => NetworkShuffleExec: output_partitions=3, input_tasks=4
              └──────────────────────────────────────────────────
                ┌───── Stage 1 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                │   FilterExec: d_year@1 = 1998, projection=[d_date_sk@0]
                │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 1998, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1, required_guarantees=[d_year in (1998)]
                │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 1998, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1, required_guarantees=[d_year in (1998)]
                │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 1998, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1, required_guarantees=[d_year in (1998)]
                │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 1998, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1, required_guarantees=[d_year in (1998)]
                └──────────────────────────────────────────────────
                ┌───── Stage 2 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                │   FilterExec: ca_state@2 IN (SET) ([MS, IN, ND, OK, NM, VA, MS])
                │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_county, ca_state, ca_country], file_type=parquet, predicate=ca_state@8 IN (SET) ([MS, IN, ND, OK, NM, VA, MS]), pruning_predicate=ca_state_null_count@2 != row_count@3 AND ca_state_min@0 <= MS AND MS <= ca_state_max@1 OR ca_state_null_count@2 != row_count@3 AND ca_state_min@0 <= IN AND IN <= ca_state_max@1 OR ca_state_null_count@2 != row_count@3 AND ca_state_min@0 <= ND AND ND <= ca_state_max@1 OR ca_state_null_count@2 != row_count@3 AND ca_state_min@0 <= OK AND OK <= ca_state_max@1 OR ca_state_null_count@2 != row_count@3 AND ca_state_min@0 <= NM AND NM <= ca_state_max@1 OR ca_state_null_count@2 != row_count@3 AND ca_state_min@0 <= VA AND VA <= ca_state_max@1 OR ca_state_null_count@2 != row_count@3 AND ca_state_min@0 <= MS AND MS <= ca_state_max@1, required_guarantees=[ca_state in (IN, MS, ND, NM, OK, VA)]
                │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_county, ca_state, ca_country], file_type=parquet, predicate=ca_state@8 IN (SET) ([MS, IN, ND, OK, NM, VA, MS]), pruning_predicate=ca_state_null_count@2 != row_count@3 AND ca_state_min@0 <= MS AND MS <= ca_state_max@1 OR ca_state_null_count@2 != row_count@3 AND ca_state_min@0 <= IN AND IN <= ca_state_max@1 OR ca_state_null_count@2 != row_count@3 AND ca_state_min@0 <= ND AND ND <= ca_state_max@1 OR ca_state_null_count@2 != row_count@3 AND ca_state_min@0 <= OK AND OK <= ca_state_max@1 OR ca_state_null_count@2 != row_count@3 AND ca_state_min@0 <= NM AND NM <= ca_state_max@1 OR ca_state_null_count@2 != row_count@3 AND ca_state_min@0 <= VA AND VA <= ca_state_max@1 OR ca_state_null_count@2 != row_count@3 AND ca_state_min@0 <= MS AND MS <= ca_state_max@1, required_guarantees=[ca_state in (IN, MS, ND, NM, OK, VA)]
                │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_county, ca_state, ca_country], file_type=parquet, predicate=ca_state@8 IN (SET) ([MS, IN, ND, OK, NM, VA, MS]), pruning_predicate=ca_state_null_count@2 != row_count@3 AND ca_state_min@0 <= MS AND MS <= ca_state_max@1 OR ca_state_null_count@2 != row_count@3 AND ca_state_min@0 <= IN AND IN <= ca_state_max@1 OR ca_state_null_count@2 != row_count@3 AND ca_state_min@0 <= ND AND ND <= ca_state_max@1 OR ca_state_null_count@2 != row_count@3 AND ca_state_min@0 <= OK AND OK <= ca_state_max@1 OR ca_state_null_count@2 != row_count@3 AND ca_state_min@0 <= NM AND NM <= ca_state_max@1 OR ca_state_null_count@2 != row_count@3 AND ca_state_min@0 <= VA AND VA <= ca_state_max@1 OR ca_state_null_count@2 != row_count@3 AND ca_state_min@0 <= MS AND MS <= ca_state_max@1, required_guarantees=[ca_state in (IN, MS, ND, NM, OK, VA)]
                │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_county, ca_state, ca_country], file_type=parquet, predicate=ca_state@8 IN (SET) ([MS, IN, ND, OK, NM, VA, MS]), pruning_predicate=ca_state_null_count@2 != row_count@3 AND ca_state_min@0 <= MS AND MS <= ca_state_max@1 OR ca_state_null_count@2 != row_count@3 AND ca_state_min@0 <= IN AND IN <= ca_state_max@1 OR ca_state_null_count@2 != row_count@3 AND ca_state_min@0 <= ND AND ND <= ca_state_max@1 OR ca_state_null_count@2 != row_count@3 AND ca_state_min@0 <= OK AND OK <= ca_state_max@1 OR ca_state_null_count@2 != row_count@3 AND ca_state_min@0 <= NM AND NM <= ca_state_max@1 OR ca_state_null_count@2 != row_count@3 AND ca_state_min@0 <= VA AND VA <= ca_state_max@1 OR ca_state_null_count@2 != row_count@3 AND ca_state_min@0 <= MS AND MS <= ca_state_max@1, required_guarantees=[ca_state in (IN, MS, ND, NM, OK, VA)]
                └──────────────────────────────────────────────────
                ┌───── Stage 6 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
                │ RepartitionExec: partitioning=Hash([c_current_cdemo_sk@8], 12), input_partitions=3
                │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(c_customer_sk@0, cs_bill_customer_sk@1)], projection=[cs_sold_date_sk@4, cs_item_sk@6, cs_quantity@7, cs_list_price@8, cs_sales_price@9, cs_coupon_amt@10, cs_net_profit@11, cd_dep_count@12, c_current_cdemo_sk@1, c_current_addr_sk@2, c_birth_year@3]
                │     CoalescePartitionsExec
                │       [Stage 3] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
                │     HashJoinExec: mode=Partitioned, join_type=Inner, on=[(cd_demo_sk@0, cs_bill_cdemo_sk@2)], projection=[cs_sold_date_sk@2, cs_bill_customer_sk@3, cs_item_sk@5, cs_quantity@6, cs_list_price@7, cs_sales_price@8, cs_coupon_amt@9, cs_net_profit@10, cd_dep_count@1]
                │       [Stage 4] => NetworkShuffleExec: output_partitions=3, input_tasks=4
                │       [Stage 5] => NetworkShuffleExec: output_partitions=3, input_tasks=4
                └──────────────────────────────────────────────────
                  ┌───── Stage 3 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                  │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                  │   FilterExec: c_birth_month@3 IN (SET) ([1, 6, 8, 9, 12, 2]), projection=[c_customer_sk@0, c_current_cdemo_sk@1, c_current_addr_sk@2, c_birth_year@4]
                  │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                  │       DistributedLeafExec:
                  │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_cdemo_sk, c_current_addr_sk, c_birth_month, c_birth_year], file_type=parquet, predicate=c_birth_month@12 IN (SET) ([1, 6, 8, 9, 12, 2]) AND DynamicFilter [ empty ], pruning_predicate=c_birth_month_null_count@2 != row_count@3 AND c_birth_month_min@0 <= 1 AND 1 <= c_birth_month_max@1 OR c_birth_month_null_count@2 != row_count@3 AND c_birth_month_min@0 <= 6 AND 6 <= c_birth_month_max@1 OR c_birth_month_null_count@2 != row_count@3 AND c_birth_month_min@0 <= 8 AND 8 <= c_birth_month_max@1 OR c_birth_month_null_count@2 != row_count@3 AND c_birth_month_min@0 <= 9 AND 9 <= c_birth_month_max@1 OR c_birth_month_null_count@2 != row_count@3 AND c_birth_month_min@0 <= 12 AND 12 <= c_birth_month_max@1 OR c_birth_month_null_count@2 != row_count@3 AND c_birth_month_min@0 <= 2 AND 2 <= c_birth_month_max@1, required_guarantees=[c_birth_month in (1, 12, 2, 6, 8, 9)]
                  │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_cdemo_sk, c_current_addr_sk, c_birth_month, c_birth_year], file_type=parquet, predicate=c_birth_month@12 IN (SET) ([1, 6, 8, 9, 12, 2]) AND DynamicFilter [ empty ], pruning_predicate=c_birth_month_null_count@2 != row_count@3 AND c_birth_month_min@0 <= 1 AND 1 <= c_birth_month_max@1 OR c_birth_month_null_count@2 != row_count@3 AND c_birth_month_min@0 <= 6 AND 6 <= c_birth_month_max@1 OR c_birth_month_null_count@2 != row_count@3 AND c_birth_month_min@0 <= 8 AND 8 <= c_birth_month_max@1 OR c_birth_month_null_count@2 != row_count@3 AND c_birth_month_min@0 <= 9 AND 9 <= c_birth_month_max@1 OR c_birth_month_null_count@2 != row_count@3 AND c_birth_month_min@0 <= 12 AND 12 <= c_birth_month_max@1 OR c_birth_month_null_count@2 != row_count@3 AND c_birth_month_min@0 <= 2 AND 2 <= c_birth_month_max@1, required_guarantees=[c_birth_month in (1, 12, 2, 6, 8, 9)]
                  │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_cdemo_sk, c_current_addr_sk, c_birth_month, c_birth_year], file_type=parquet, predicate=c_birth_month@12 IN (SET) ([1, 6, 8, 9, 12, 2]) AND DynamicFilter [ empty ], pruning_predicate=c_birth_month_null_count@2 != row_count@3 AND c_birth_month_min@0 <= 1 AND 1 <= c_birth_month_max@1 OR c_birth_month_null_count@2 != row_count@3 AND c_birth_month_min@0 <= 6 AND 6 <= c_birth_month_max@1 OR c_birth_month_null_count@2 != row_count@3 AND c_birth_month_min@0 <= 8 AND 8 <= c_birth_month_max@1 OR c_birth_month_null_count@2 != row_count@3 AND c_birth_month_min@0 <= 9 AND 9 <= c_birth_month_max@1 OR c_birth_month_null_count@2 != row_count@3 AND c_birth_month_min@0 <= 12 AND 12 <= c_birth_month_max@1 OR c_birth_month_null_count@2 != row_count@3 AND c_birth_month_min@0 <= 2 AND 2 <= c_birth_month_max@1, required_guarantees=[c_birth_month in (1, 12, 2, 6, 8, 9)]
                  │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_cdemo_sk, c_current_addr_sk, c_birth_month, c_birth_year], file_type=parquet, predicate=c_birth_month@12 IN (SET) ([1, 6, 8, 9, 12, 2]) AND DynamicFilter [ empty ], pruning_predicate=c_birth_month_null_count@2 != row_count@3 AND c_birth_month_min@0 <= 1 AND 1 <= c_birth_month_max@1 OR c_birth_month_null_count@2 != row_count@3 AND c_birth_month_min@0 <= 6 AND 6 <= c_birth_month_max@1 OR c_birth_month_null_count@2 != row_count@3 AND c_birth_month_min@0 <= 8 AND 8 <= c_birth_month_max@1 OR c_birth_month_null_count@2 != row_count@3 AND c_birth_month_min@0 <= 9 AND 9 <= c_birth_month_max@1 OR c_birth_month_null_count@2 != row_count@3 AND c_birth_month_min@0 <= 12 AND 12 <= c_birth_month_max@1 OR c_birth_month_null_count@2 != row_count@3 AND c_birth_month_min@0 <= 2 AND 2 <= c_birth_month_max@1, required_guarantees=[c_birth_month in (1, 12, 2, 6, 8, 9)]
                  └──────────────────────────────────────────────────
                  ┌───── Stage 4 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
                  │ RepartitionExec: partitioning=Hash([cd_demo_sk@0], 12), input_partitions=3
                  │   FilterExec: cd_gender@1 = F AND cd_education_status@2 = Unknown, projection=[cd_demo_sk@0, cd_dep_count@3]
                  │     DistributedLeafExec:
                  │       t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_gender, cd_education_status, cd_dep_count], file_type=parquet, predicate=cd_gender@1 = F AND cd_education_status@3 = Unknown, pruning_predicate=cd_gender_null_count@2 != row_count@3 AND cd_gender_min@0 <= F AND F <= cd_gender_max@1 AND cd_education_status_null_count@6 != row_count@3 AND cd_education_status_min@4 <= Unknown AND Unknown <= cd_education_status_max@5, required_guarantees=[cd_education_status in (Unknown), cd_gender in (F)]
                  │       t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-3.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_gender, cd_education_status, cd_dep_count], file_type=parquet, predicate=cd_gender@1 = F AND cd_education_status@3 = Unknown, pruning_predicate=cd_gender_null_count@2 != row_count@3 AND cd_gender_min@0 <= F AND F <= cd_gender_max@1 AND cd_education_status_null_count@6 != row_count@3 AND cd_education_status_min@4 <= Unknown AND Unknown <= cd_education_status_max@5, required_guarantees=[cd_education_status in (Unknown), cd_gender in (F)]
                  │       t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-3.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_gender, cd_education_status, cd_dep_count], file_type=parquet, predicate=cd_gender@1 = F AND cd_education_status@3 = Unknown, pruning_predicate=cd_gender_null_count@2 != row_count@3 AND cd_gender_min@0 <= F AND F <= cd_gender_max@1 AND cd_education_status_null_count@6 != row_count@3 AND cd_education_status_min@4 <= Unknown AND Unknown <= cd_education_status_max@5, required_guarantees=[cd_education_status in (Unknown), cd_gender in (F)]
                  │       t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-3.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_gender, cd_education_status, cd_dep_count], file_type=parquet, predicate=cd_gender@1 = F AND cd_education_status@3 = Unknown, pruning_predicate=cd_gender_null_count@2 != row_count@3 AND cd_gender_min@0 <= F AND F <= cd_gender_max@1 AND cd_education_status_null_count@6 != row_count@3 AND cd_education_status_min@4 <= Unknown AND Unknown <= cd_education_status_max@5, required_guarantees=[cd_education_status in (Unknown), cd_gender in (F)]
                  └──────────────────────────────────────────────────
                  ┌───── Stage 5 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
                  │ RepartitionExec: partitioning=Hash([cs_bill_cdemo_sk@2], 12), input_partitions=3
                  │   DistributedLeafExec:
                  │     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_bill_customer_sk, cs_bill_cdemo_sk, cs_item_sk, cs_quantity, cs_list_price, cs_sales_price, cs_coupon_amt, cs_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                  │     t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_bill_customer_sk, cs_bill_cdemo_sk, cs_item_sk, cs_quantity, cs_list_price, cs_sales_price, cs_coupon_amt, cs_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                  │     t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_bill_customer_sk, cs_bill_cdemo_sk, cs_item_sk, cs_quantity, cs_list_price, cs_sales_price, cs_coupon_amt, cs_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                  │     t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_bill_customer_sk, cs_bill_cdemo_sk, cs_item_sk, cs_quantity, cs_list_price, cs_sales_price, cs_coupon_amt, cs_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                  └──────────────────────────────────────────────────
                ┌───── Stage 7 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
                │ RepartitionExec: partitioning=Hash([cd_demo_sk@0], 12), input_partitions=3
                │   DistributedLeafExec:
                │     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>]]}, projection=[cd_demo_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
                │     t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-3.parquet:<int>..<int>]]}, projection=[cd_demo_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
                │     t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-3.parquet:<int>..<int>]]}, projection=[cd_demo_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
                │     t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-3.parquet:<int>..<int>]]}, projection=[cd_demo_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
                └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_19() -> Result<()> {
        let display = test_tpcds_query("q19").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [ext_price@4 DESC, brand@1 ASC NULLS LAST, brand_id@0 ASC NULLS LAST, i_manufact_id@2 ASC NULLS LAST, i_manufact@3 ASC NULLS LAST], fetch=100
        │   [Stage 7] => NetworkCoalesceExec: output_partitions=6, input_tasks=2
        └──────────────────────────────────────────────────
          ┌───── Stage 7 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ SortExec: TopK(fetch=100), expr=[ext_price@4 DESC, brand@1 ASC NULLS LAST, brand_id@0 ASC NULLS LAST, i_manufact_id@2 ASC NULLS LAST, i_manufact@3 ASC NULLS LAST], preserve_partitioning=[true]
          │   ProjectionExec: expr=[i_brand_id@1 as brand_id, i_brand@0 as brand, i_manufact_id@2 as i_manufact_id, i_manufact@3 as i_manufact, sum(store_sales.ss_ext_sales_price)@4 as ext_price]
          │     AggregateExec: mode=FinalPartitioned, gby=[i_brand@0 as i_brand, i_brand_id@1 as i_brand_id, i_manufact_id@2 as i_manufact_id, i_manufact@3 as i_manufact], aggr=[sum(store_sales.ss_ext_sales_price)]
          │       [Stage 6] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 6 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([i_brand@0, i_brand_id@1, i_manufact_id@2, i_manufact@3], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[i_brand@2 as i_brand, i_brand_id@1 as i_brand_id, i_manufact_id@3 as i_manufact_id, i_manufact@4 as i_manufact], aggr=[sum(store_sales.ss_ext_sales_price)]
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(s_store_sk@0, ss_store_sk@0)], filter=substr(ca_zip@0, 1, 5) != substr(s_zip@1, 1, 5), projection=[ss_ext_sales_price@3, i_brand_id@4, i_brand@5, i_manufact_id@6, i_manufact@7]
            │       CoalescePartitionsExec
            │         [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(c_current_addr_sk@6, ca_address_sk@0)], projection=[ss_store_sk@0, ss_ext_sales_price@1, i_brand_id@2, i_brand@3, i_manufact_id@4, i_manufact@5, ca_zip@8]
            │         CoalescePartitionsExec
            │           [Stage 5] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │         RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │           DistributedLeafExec:
            │             t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_zip], file_type=parquet, predicate=DynamicFilter [ empty ]
            │             t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_zip], file_type=parquet, predicate=DynamicFilter [ empty ]
            │             t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_zip], file_type=parquet, predicate=DynamicFilter [ empty ]
            │             t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_zip], file_type=parquet, predicate=DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 1 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>]]}, projection=[s_store_sk, s_zip], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>]]}, projection=[s_store_sk, s_zip], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_zip], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_zip], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 5 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(ss_customer_sk@0, c_customer_sk@0)], projection=[ss_store_sk@1, ss_ext_sales_price@2, i_brand_id@3, i_brand@4, i_manufact_id@5, i_manufact@6, c_current_addr_sk@8]
              │     CoalescePartitionsExec
              │       [Stage 4] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_addr_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_addr_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_addr_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_addr_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
                ┌───── Stage 4 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, ss_item_sk@0)], projection=[ss_customer_sk@6, ss_store_sk@7, ss_ext_sales_price@8, i_brand_id@1, i_brand@2, i_manufact_id@3, i_manufact@4]
                │     CoalescePartitionsExec
                │       [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
                │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[ss_item_sk@2, ss_customer_sk@3, ss_store_sk@4, ss_ext_sales_price@5]
                │       CoalescePartitionsExec
                │         [Stage 3] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_customer_sk, ss_store_sk, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │         t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_customer_sk, ss_store_sk, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │         t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_customer_sk, ss_store_sk, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │         t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_customer_sk, ss_store_sk, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                └──────────────────────────────────────────────────
                  ┌───── Stage 2 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                  │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                  │   FilterExec: i_manager_id@5 = 8, projection=[i_item_sk@0, i_brand_id@1, i_brand@2, i_manufact_id@3, i_manufact@4]
                  │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                  │       DistributedLeafExec:
                  │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_brand, i_manufact_id, i_manufact, i_manager_id], file_type=parquet, predicate=i_manager_id@20 = 8, pruning_predicate=i_manager_id_null_count@2 != row_count@3 AND i_manager_id_min@0 <= 8 AND 8 <= i_manager_id_max@1, required_guarantees=[i_manager_id in (8)]
                  │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_brand, i_manufact_id, i_manufact, i_manager_id], file_type=parquet, predicate=i_manager_id@20 = 8, pruning_predicate=i_manager_id_null_count@2 != row_count@3 AND i_manager_id_min@0 <= 8 AND 8 <= i_manager_id_max@1, required_guarantees=[i_manager_id in (8)]
                  │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_brand, i_manufact_id, i_manufact, i_manager_id], file_type=parquet, predicate=i_manager_id@20 = 8, pruning_predicate=i_manager_id_null_count@2 != row_count@3 AND i_manager_id_min@0 <= 8 AND 8 <= i_manager_id_max@1, required_guarantees=[i_manager_id in (8)]
                  │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_brand, i_manufact_id, i_manufact, i_manager_id], file_type=parquet, predicate=i_manager_id@20 = 8, pruning_predicate=i_manager_id_null_count@2 != row_count@3 AND i_manager_id_min@0 <= 8 AND 8 <= i_manager_id_max@1, required_guarantees=[i_manager_id in (8)]
                  └──────────────────────────────────────────────────
                  ┌───── Stage 3 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                  │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                  │   FilterExec: d_moy@2 = 11 AND d_year@1 = 1998, projection=[d_date_sk@0]
                  │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                  │       DistributedLeafExec:
                  │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_moy@8 = 11 AND d_year@6 = 1998, pruning_predicate=d_moy_null_count@2 != row_count@3 AND d_moy_min@0 <= 11 AND 11 <= d_moy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 1998 AND 1998 <= d_year_max@5, required_guarantees=[d_moy in (11), d_year in (1998)]
                  │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_moy@8 = 11 AND d_year@6 = 1998, pruning_predicate=d_moy_null_count@2 != row_count@3 AND d_moy_min@0 <= 11 AND 11 <= d_moy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 1998 AND 1998 <= d_year_max@5, required_guarantees=[d_moy in (11), d_year in (1998)]
                  │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_moy@8 = 11 AND d_year@6 = 1998, pruning_predicate=d_moy_null_count@2 != row_count@3 AND d_moy_min@0 <= 11 AND 11 <= d_moy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 1998 AND 1998 <= d_year_max@5, required_guarantees=[d_moy in (11), d_year in (1998)]
                  │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_moy@8 = 11 AND d_year@6 = 1998, pruning_predicate=d_moy_null_count@2 != row_count@3 AND d_moy_min@0 <= 11 AND 11 <= d_moy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 1998 AND 1998 <= d_year_max@5, required_guarantees=[d_moy in (11), d_year in (1998)]
                  └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_20() -> Result<()> {
        let display = test_tpcds_query("q20").await?;
        assert_snapshot!(display, @r#"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [i_category@2 ASC, i_class@3 ASC, i_item_id@0 ASC, i_item_desc@1 ASC, revenueratio@6 ASC], fetch=100
        │   SortExec: TopK(fetch=100), expr=[i_category@2 ASC, i_class@3 ASC, i_item_id@0 ASC, i_item_desc@1 ASC, revenueratio@6 ASC], preserve_partitioning=[true]
        │     ProjectionExec: expr=[i_item_id@0 as i_item_id, i_item_desc@1 as i_item_desc, i_category@2 as i_category, i_class@3 as i_class, i_current_price@4 as i_current_price, sum(catalog_sales.cs_ext_sales_price)@5 as itemrevenue, CAST(sum(catalog_sales.cs_ext_sales_price)@5 AS Float64) * 100 / CAST(sum(sum(catalog_sales.cs_ext_sales_price)) PARTITION BY [item.i_class] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING@6 AS Float64) as revenueratio]
        │       WindowAggExec: wdw=[sum(sum(catalog_sales.cs_ext_sales_price)) PARTITION BY [item.i_class] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING: Ok(Field { name: "sum(sum(catalog_sales.cs_ext_sales_price)) PARTITION BY [item.i_class] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING", data_type: Decimal128(27, 2), nullable: true }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(NULL)), is_causal: false }]
        │         SortExec: expr=[i_class@3 ASC NULLS LAST], preserve_partitioning=[true]
        │           [Stage 4] => NetworkShuffleExec: output_partitions=3, input_tasks=2
        └──────────────────────────────────────────────────
          ┌───── Stage 4 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ RepartitionExec: partitioning=Hash([i_class@3], 3), input_partitions=3
          │   AggregateExec: mode=FinalPartitioned, gby=[i_item_id@0 as i_item_id, i_item_desc@1 as i_item_desc, i_category@2 as i_category, i_class@3 as i_class, i_current_price@4 as i_current_price], aggr=[sum(catalog_sales.cs_ext_sales_price)]
          │     [Stage 3] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 3 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([i_item_id@0, i_item_desc@1, i_category@2, i_class@3, i_current_price@4], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[i_item_id@1 as i_item_id, i_item_desc@2 as i_item_desc, i_category@5 as i_category, i_class@4 as i_class, i_current_price@3 as i_current_price], aggr=[sum(catalog_sales.cs_ext_sales_price)]
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, cs_sold_date_sk@0)], projection=[cs_ext_sales_price@2, i_item_id@3, i_item_desc@4, i_current_price@5, i_class@6, i_category@7]
            │       CoalescePartitionsExec
            │         [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, cs_item_sk@1)], projection=[cs_sold_date_sk@6, cs_ext_sales_price@8, i_item_id@1, i_item_desc@2, i_current_price@3, i_class@4, i_category@5]
            │         CoalescePartitionsExec
            │           [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │         DistributedLeafExec:
            │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_item_sk, cs_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_item_sk, cs_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_item_sk, cs_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_item_sk, cs_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 1 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_date@1 >= 1999-02-22 AND d_date@1 <= 1999-03-24, projection=[d_date_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 1999-02-22 AND d_date@2 <= 1999-03-24, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 1999-02-22 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 1999-03-24, required_guarantees=[]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 1999-02-22 AND d_date@2 <= 1999-03-24, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 1999-02-22 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 1999-03-24, required_guarantees=[]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 1999-02-22 AND d_date@2 <= 1999-03-24, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 1999-02-22 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 1999-03-24, required_guarantees=[]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 1999-02-22 AND d_date@2 <= 1999-03-24, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 1999-02-22 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 1999-03-24, required_guarantees=[]
              └──────────────────────────────────────────────────
              ┌───── Stage 2 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: i_category@5 = Sports OR i_category@5 = Books OR i_category@5 = Home
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id, i_item_desc, i_current_price, i_class, i_category], file_type=parquet, predicate=i_category@12 = Sports OR i_category@12 = Books OR i_category@12 = Home, pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Sports AND Sports <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Books AND Books <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Home AND Home <= i_category_max@1, required_guarantees=[i_category in (Books, Home, Sports)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id, i_item_desc, i_current_price, i_class, i_category], file_type=parquet, predicate=i_category@12 = Sports OR i_category@12 = Books OR i_category@12 = Home, pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Sports AND Sports <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Books AND Books <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Home AND Home <= i_category_max@1, required_guarantees=[i_category in (Books, Home, Sports)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id, i_item_desc, i_current_price, i_class, i_category], file_type=parquet, predicate=i_category@12 = Sports OR i_category@12 = Books OR i_category@12 = Home, pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Sports AND Sports <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Books AND Books <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Home AND Home <= i_category_max@1, required_guarantees=[i_category in (Books, Home, Sports)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id, i_item_desc, i_current_price, i_class, i_category], file_type=parquet, predicate=i_category@12 = Sports OR i_category@12 = Books OR i_category@12 = Home, pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Sports AND Sports <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Books AND Books <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Home AND Home <= i_category_max@1, required_guarantees=[i_category in (Books, Home, Sports)]
              └──────────────────────────────────────────────────
        "#);
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_21() -> Result<()> {
        let display = test_tpcds_query("q21").await?;
        assert_snapshot!(display, @r#"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [w_warehouse_name@0 ASC, i_item_id@1 ASC], fetch=100
        │   [Stage 5] => NetworkCoalesceExec: output_partitions=6, input_tasks=2
        └──────────────────────────────────────────────────
          ┌───── Stage 5 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ SortExec: TopK(fetch=100), expr=[w_warehouse_name@0 ASC, i_item_id@1 ASC], preserve_partitioning=[true]
          │   ProjectionExec: expr=[w_warehouse_name@0 as w_warehouse_name, i_item_id@1 as i_item_id, sum(CASE WHEN date_dim.d_date < Utf8("2000-03-11") THEN inventory.inv_quantity_on_hand ELSE Int64(0) END)@2 as inv_before, sum(CASE WHEN date_dim.d_date >= Utf8("2000-03-11") THEN inventory.inv_quantity_on_hand ELSE Int64(0) END)@3 as inv_after]
          │     FilterExec: __common_expr_4@0 >= 0.6666666666666666 AND __common_expr_4@0 <= 1.5, projection=[w_warehouse_name@1, i_item_id@2, sum(CASE WHEN date_dim.d_date < Utf8("2000-03-11") THEN inventory.inv_quantity_on_hand ELSE Int64(0) END)@3, sum(CASE WHEN date_dim.d_date >= Utf8("2000-03-11") THEN inventory.inv_quantity_on_hand ELSE Int64(0) END)@4]
          │       ProjectionExec: expr=[CASE WHEN sum(CASE WHEN date_dim.d_date < Utf8("2000-03-11") THEN inventory.inv_quantity_on_hand ELSE Int64(0) END)@2 > 0 THEN CAST(sum(CASE WHEN date_dim.d_date >= Utf8("2000-03-11") THEN inventory.inv_quantity_on_hand ELSE Int64(0) END)@3 AS Float64) / CAST(sum(CASE WHEN date_dim.d_date < Utf8("2000-03-11") THEN inventory.inv_quantity_on_hand ELSE Int64(0) END)@2 AS Float64) END as __common_expr_4, w_warehouse_name@0 as w_warehouse_name, i_item_id@1 as i_item_id, sum(CASE WHEN date_dim.d_date < Utf8("2000-03-11") THEN inventory.inv_quantity_on_hand ELSE Int64(0) END)@2 as sum(CASE WHEN date_dim.d_date < Utf8("2000-03-11") THEN inventory.inv_quantity_on_hand ELSE Int64(0) END), sum(CASE WHEN date_dim.d_date >= Utf8("2000-03-11") THEN inventory.inv_quantity_on_hand ELSE Int64(0) END)@3 as sum(CASE WHEN date_dim.d_date >= Utf8("2000-03-11") THEN inventory.inv_quantity_on_hand ELSE Int64(0) END)]
          │         AggregateExec: mode=FinalPartitioned, gby=[w_warehouse_name@0 as w_warehouse_name, i_item_id@1 as i_item_id], aggr=[sum(CASE WHEN __common_expr_2 < 2000-03-11 THEN inventory.inv_quantity_on_hand ELSE 0 END) as sum(CASE WHEN date_dim.d_date < Utf8("2000-03-11") THEN inventory.inv_quantity_on_hand ELSE Int64(0) END), sum(CASE WHEN __common_expr_2 >= 2000-03-11 THEN inventory.inv_quantity_on_hand ELSE 0 END) as sum(CASE WHEN date_dim.d_date >= Utf8("2000-03-11") THEN inventory.inv_quantity_on_hand ELSE Int64(0) END)]
          │           [Stage 4] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 4 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([w_warehouse_name@0, i_item_id@1], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[w_warehouse_name@2 as w_warehouse_name, i_item_id@3 as i_item_id], aggr=[sum(CASE WHEN __common_expr_2 < 2000-03-11 THEN inventory.inv_quantity_on_hand ELSE 0 END) as sum(CASE WHEN date_dim.d_date < Utf8("2000-03-11") THEN inventory.inv_quantity_on_hand ELSE Int64(0) END), sum(CASE WHEN __common_expr_2 >= 2000-03-11 THEN inventory.inv_quantity_on_hand ELSE 0 END) as sum(CASE WHEN date_dim.d_date >= Utf8("2000-03-11") THEN inventory.inv_quantity_on_hand ELSE Int64(0) END)]
            │     ProjectionExec: expr=[d_date@0 as __common_expr_2, inv_quantity_on_hand@1 as inv_quantity_on_hand, w_warehouse_name@2 as w_warehouse_name, i_item_id@3 as i_item_id]
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, inv_date_sk@0)], projection=[d_date@1, inv_quantity_on_hand@3, w_warehouse_name@4, i_item_id@5]
            │         CoalescePartitionsExec
            │           [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, inv_item_sk@1)], projection=[inv_date_sk@2, inv_quantity_on_hand@4, w_warehouse_name@5, i_item_id@1]
            │           CoalescePartitionsExec
            │             [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │           HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(w_warehouse_sk@0, inv_warehouse_sk@2)], projection=[inv_date_sk@2, inv_item_sk@3, inv_quantity_on_hand@5, w_warehouse_name@1]
            │             CoalescePartitionsExec
            │               [Stage 3] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │             DistributedLeafExec:
            │               t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/inventory/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/inventory/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/inventory/part-2.parquet:<int>..<int>]]}, projection=[inv_date_sk, inv_item_sk, inv_warehouse_sk, inv_quantity_on_hand], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │               t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/inventory/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/inventory/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/inventory/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/inventory/part-3.parquet:<int>..<int>]]}, projection=[inv_date_sk, inv_item_sk, inv_warehouse_sk, inv_quantity_on_hand], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │               t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/inventory/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/inventory/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/inventory/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/inventory/part-3.parquet:<int>..<int>]]}, projection=[inv_date_sk, inv_item_sk, inv_warehouse_sk, inv_quantity_on_hand], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │               t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/inventory/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/inventory/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/inventory/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/inventory/part-3.parquet:<int>..<int>]]}, projection=[inv_date_sk, inv_item_sk, inv_warehouse_sk, inv_quantity_on_hand], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 1 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_date@1 >= 2000-02-10 AND d_date@1 <= 2000-04-10
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-02-10 AND d_date@2 <= 2000-04-10, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-02-10 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-04-10, required_guarantees=[]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-02-10 AND d_date@2 <= 2000-04-10, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-02-10 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-04-10, required_guarantees=[]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-02-10 AND d_date@2 <= 2000-04-10, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-02-10 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-04-10, required_guarantees=[]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-02-10 AND d_date@2 <= 2000-04-10, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-02-10 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-04-10, required_guarantees=[]
              └──────────────────────────────────────────────────
              ┌───── Stage 2 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: i_current_price@2 >= Some(99),7,2 AND i_current_price@2 <= Some(149),7,2, projection=[i_item_sk@0, i_item_id@1]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id, i_current_price], file_type=parquet, predicate=i_current_price@5 >= Some(99),7,2 AND i_current_price@5 <= Some(149),7,2, pruning_predicate=i_current_price_null_count@1 != row_count@2 AND i_current_price_max@0 >= Some(99),7,2 AND i_current_price_null_count@1 != row_count@2 AND i_current_price_min@3 <= Some(149),7,2, required_guarantees=[]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id, i_current_price], file_type=parquet, predicate=i_current_price@5 >= Some(99),7,2 AND i_current_price@5 <= Some(149),7,2, pruning_predicate=i_current_price_null_count@1 != row_count@2 AND i_current_price_max@0 >= Some(99),7,2 AND i_current_price_null_count@1 != row_count@2 AND i_current_price_min@3 <= Some(149),7,2, required_guarantees=[]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id, i_current_price], file_type=parquet, predicate=i_current_price@5 >= Some(99),7,2 AND i_current_price@5 <= Some(149),7,2, pruning_predicate=i_current_price_null_count@1 != row_count@2 AND i_current_price_max@0 >= Some(99),7,2 AND i_current_price_null_count@1 != row_count@2 AND i_current_price_min@3 <= Some(149),7,2, required_guarantees=[]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id, i_current_price], file_type=parquet, predicate=i_current_price@5 >= Some(99),7,2 AND i_current_price@5 <= Some(149),7,2, pruning_predicate=i_current_price_null_count@1 != row_count@2 AND i_current_price_max@0 >= Some(99),7,2 AND i_current_price_null_count@1 != row_count@2 AND i_current_price_min@3 <= Some(149),7,2, required_guarantees=[]
              └──────────────────────────────────────────────────
              ┌───── Stage 3 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/warehouse/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/warehouse/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/warehouse/part-1.parquet:<int>..<int>]]}, projection=[w_warehouse_sk, w_warehouse_name], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/warehouse/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/warehouse/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/warehouse/part-2.parquet:<int>..<int>]]}, projection=[w_warehouse_sk, w_warehouse_name], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/warehouse/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/warehouse/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/warehouse/part-3.parquet:<int>..<int>]]}, projection=[w_warehouse_sk, w_warehouse_name], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/warehouse/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/warehouse/part-3.parquet:<int>..<int>]]}, projection=[w_warehouse_sk, w_warehouse_name], file_type=parquet
              └──────────────────────────────────────────────────
        "#);
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_22() -> Result<()> {
        let display = test_tpcds_query("q22").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [qoh@4 ASC, i_product_name@0 ASC, i_brand@1 ASC, i_class@2 ASC, i_category@3 ASC], fetch=100
        │   [Stage 4] => NetworkCoalesceExec: output_partitions=6, input_tasks=2
        └──────────────────────────────────────────────────
          ┌───── Stage 4 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ SortExec: TopK(fetch=100), expr=[qoh@4 ASC, i_product_name@0 ASC, i_brand@1 ASC, i_class@2 ASC, i_category@3 ASC], preserve_partitioning=[true]
          │   ProjectionExec: expr=[i_product_name@0 as i_product_name, i_brand@1 as i_brand, i_class@2 as i_class, i_category@3 as i_category, avg(inventory.inv_quantity_on_hand)@5 as qoh]
          │     AggregateExec: mode=FinalPartitioned, gby=[i_product_name@0 as i_product_name, i_brand@1 as i_brand, i_class@2 as i_class, i_category@3 as i_category, __grouping_id@4 as __grouping_id], aggr=[avg(inventory.inv_quantity_on_hand)]
          │       [Stage 3] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 3 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([i_product_name@0, i_brand@1, i_class@2, i_category@3, __grouping_id@4], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[(NULL as i_product_name, NULL as i_brand, NULL as i_class, NULL as i_category), (i_product_name@4 as i_product_name, NULL as i_brand, NULL as i_class, NULL as i_category), (i_product_name@4 as i_product_name, i_brand@1 as i_brand, NULL as i_class, NULL as i_category), (i_product_name@4 as i_product_name, i_brand@1 as i_brand, i_class@2 as i_class, NULL as i_category), (i_product_name@4 as i_product_name, i_brand@1 as i_brand, i_class@2 as i_class, i_category@3 as i_category)], aggr=[avg(inventory.inv_quantity_on_hand)]
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, inv_item_sk@0)], projection=[inv_quantity_on_hand@6, i_brand@1, i_class@2, i_category@3, i_product_name@4]
            │       CoalescePartitionsExec
            │         [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, inv_date_sk@0)], projection=[inv_item_sk@2, inv_quantity_on_hand@3]
            │         CoalescePartitionsExec
            │           [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │         DistributedLeafExec:
            │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/inventory/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/inventory/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/inventory/part-2.parquet:<int>..<int>]]}, projection=[inv_date_sk, inv_item_sk, inv_quantity_on_hand], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/inventory/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/inventory/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/inventory/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/inventory/part-3.parquet:<int>..<int>]]}, projection=[inv_date_sk, inv_item_sk, inv_quantity_on_hand], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/inventory/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/inventory/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/inventory/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/inventory/part-3.parquet:<int>..<int>]]}, projection=[inv_date_sk, inv_item_sk, inv_quantity_on_hand], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/inventory/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/inventory/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/inventory/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/inventory/part-3.parquet:<int>..<int>]]}, projection=[inv_date_sk, inv_item_sk, inv_quantity_on_hand], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 1 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand, i_class, i_category, i_product_name], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand, i_class, i_category, i_product_name], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand, i_class, i_category, i_product_name], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand, i_class, i_category, i_product_name], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 2 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_month_seq@1 >= 1200 AND d_month_seq@1 <= 1211, projection=[d_date_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_month_seq], file_type=parquet, predicate=d_month_seq@3 >= 1200 AND d_month_seq@3 <= 1211, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1200 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1211, required_guarantees=[]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_month_seq], file_type=parquet, predicate=d_month_seq@3 >= 1200 AND d_month_seq@3 <= 1211, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1200 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1211, required_guarantees=[]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_month_seq], file_type=parquet, predicate=d_month_seq@3 >= 1200 AND d_month_seq@3 <= 1211, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1200 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1211, required_guarantees=[]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_month_seq], file_type=parquet, predicate=d_month_seq@3 >= 1200 AND d_month_seq@3 <= 1211, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1200 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1211, required_guarantees=[]
              └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_23() -> Result<()> {
        let display = test_tpcds_query("q23").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [c_last_name@0 ASC, c_first_name@1 ASC, sales@2 ASC], fetch=100
        │   [Stage 31] => NetworkCoalesceExec: output_partitions=6, input_tasks=2
        └──────────────────────────────────────────────────
          ┌───── Stage 31 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ SortExec: TopK(fetch=100), expr=[c_last_name@0 ASC, c_first_name@1 ASC, sales@2 ASC], preserve_partitioning=[true]
          │   InterleaveExec
          │     ProjectionExec: expr=[c_last_name@0 as c_last_name, c_first_name@1 as c_first_name, sum(catalog_sales.cs_quantity * catalog_sales.cs_list_price)@2 as sales]
          │       AggregateExec: mode=FinalPartitioned, gby=[c_last_name@0 as c_last_name, c_first_name@1 as c_first_name], aggr=[sum(catalog_sales.cs_quantity * catalog_sales.cs_list_price)]
          │         [Stage 15] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          │     ProjectionExec: expr=[c_last_name@0 as c_last_name, c_first_name@1 as c_first_name, sum(web_sales.ws_quantity * web_sales.ws_list_price)@2 as sales]
          │       AggregateExec: mode=FinalPartitioned, gby=[c_last_name@0 as c_last_name, c_first_name@1 as c_first_name], aggr=[sum(web_sales.ws_quantity * web_sales.ws_list_price)]
          │         [Stage 30] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 15 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([c_last_name@0, c_first_name@1], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[c_last_name@3 as c_last_name, c_first_name@2 as c_first_name], aggr=[sum(catalog_sales.cs_quantity * catalog_sales.cs_list_price)]
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(cs_bill_customer_sk@0, c_customer_sk@0)], projection=[cs_quantity@1, cs_list_price@2, c_first_name@3, c_last_name@4]
            │       CoalescePartitionsExec
            │         [Stage 7] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │       FilterExec: CAST(sum(store_sales.ss_quantity * store_sales.ss_sales_price)@1 AS Decimal128(38, 15)) > CAST(0.5 * CAST(max(max_store_sales.tpcds_cmax)@2 AS Float64) AS Decimal128(38, 15)), projection=[c_customer_sk@0]
            │         AggregateExec: mode=FinalPartitioned, gby=[c_customer_sk@0 as c_customer_sk], aggr=[sum(store_sales.ss_quantity * store_sales.ss_sales_price), max(max_store_sales.tpcds_cmax)]
            │           [Stage 14] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            └──────────────────────────────────────────────────
              ┌───── Stage 7 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(cs_item_sk@1, item_sk@0)], projection=[cs_bill_customer_sk@0, cs_quantity@2, cs_list_price@3, c_first_name@4, c_last_name@5]
              │     CoalescePartitionsExec
              │       [Stage 3] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
              │     ProjectionExec: expr=[i_item_sk@0 as item_sk]
              │       FilterExec: count(Int64(1))@1 > 4, projection=[i_item_sk@0]
              │         ProjectionExec: expr=[i_item_sk@1 as i_item_sk, count(Int64(1))@3 as count(Int64(1))]
              │           AggregateExec: mode=FinalPartitioned, gby=[itemdesc@0 as itemdesc, i_item_sk@1 as i_item_sk, d_date@2 as d_date], aggr=[count(Int64(1))]
              │             [Stage 6] => NetworkShuffleExec: output_partitions=3, input_tasks=4
              └──────────────────────────────────────────────────
                ┌───── Stage 3 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, cs_sold_date_sk@0)], projection=[cs_bill_customer_sk@2, cs_item_sk@3, cs_quantity@4, cs_list_price@5, c_first_name@6, c_last_name@7]
                │     CoalescePartitionsExec
                │       [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
                │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(c_customer_sk@0, cs_bill_customer_sk@1)], projection=[cs_sold_date_sk@3, cs_bill_customer_sk@4, cs_item_sk@5, cs_quantity@6, cs_list_price@7, c_first_name@1, c_last_name@2]
                │       CoalescePartitionsExec
                │         [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_bill_customer_sk, cs_item_sk, cs_quantity, cs_list_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │         t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_bill_customer_sk, cs_item_sk, cs_quantity, cs_list_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │         t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_bill_customer_sk, cs_item_sk, cs_quantity, cs_list_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │         t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_bill_customer_sk, cs_item_sk, cs_quantity, cs_list_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                └──────────────────────────────────────────────────
                  ┌───── Stage 1 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                  │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                  │   FilterExec: d_year@1 = 2000 AND d_moy@2 = 2, projection=[d_date_sk@0]
                  │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                  │       DistributedLeafExec:
                  │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2000 AND d_moy@8 = 2, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 2 AND 2 <= d_moy_max@5, required_guarantees=[d_moy in (2), d_year in (2000)]
                  │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2000 AND d_moy@8 = 2, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 2 AND 2 <= d_moy_max@5, required_guarantees=[d_moy in (2), d_year in (2000)]
                  │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2000 AND d_moy@8 = 2, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 2 AND 2 <= d_moy_max@5, required_guarantees=[d_moy in (2), d_year in (2000)]
                  │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2000 AND d_moy@8 = 2, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 2 AND 2 <= d_moy_max@5, required_guarantees=[d_moy in (2), d_year in (2000)]
                  └──────────────────────────────────────────────────
                  ┌───── Stage 2 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                  │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                  │   DistributedLeafExec:
                  │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_first_name, c_last_name], file_type=parquet
                  │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_first_name, c_last_name], file_type=parquet
                  │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_first_name, c_last_name], file_type=parquet
                  │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_first_name, c_last_name], file_type=parquet
                  └──────────────────────────────────────────────────
                ┌───── Stage 6 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
                │ RepartitionExec: partitioning=Hash([itemdesc@0, i_item_sk@1, d_date@2], 12), input_partitions=3
                │   AggregateExec: mode=Partial, gby=[itemdesc@1 as itemdesc, i_item_sk@2 as i_item_sk, d_date@0 as d_date], aggr=[count(Int64(1))]
                │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@1, ss_item_sk@0)], projection=[d_date@3, itemdesc@0, i_item_sk@1]
                │       CoalescePartitionsExec
                │         [Stage 4] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
                │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[ss_item_sk@3, d_date@1]
                │         CoalescePartitionsExec
                │           [Stage 5] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
                │         DistributedLeafExec:
                │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │           t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │           t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │           t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                └──────────────────────────────────────────────────
                  ┌───── Stage 4 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                  │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                  │   ProjectionExec: expr=[substr(i_item_desc@1, 1, 30) as itemdesc, i_item_sk@0 as i_item_sk]
                  │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                  │       DistributedLeafExec:
                  │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_desc], file_type=parquet, predicate=DynamicFilter [ empty ]
                  │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_desc], file_type=parquet, predicate=DynamicFilter [ empty ]
                  │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_desc], file_type=parquet, predicate=DynamicFilter [ empty ]
                  │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_desc], file_type=parquet, predicate=DynamicFilter [ empty ]
                  └──────────────────────────────────────────────────
                  ┌───── Stage 5 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                  │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                  │   FilterExec: d_year@2 IN (SET) ([2000, 2001, 2002, 2003]), projection=[d_date_sk@0, d_date@1]
                  │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                  │       DistributedLeafExec:
                  │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date, d_year], file_type=parquet, predicate=d_year@6 IN (SET) ([2000, 2001, 2002, 2003]), pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2003 AND 2003 <= d_year_max@1, required_guarantees=[d_year in (2000, 2001, 2002, 2003)]
                  │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date, d_year], file_type=parquet, predicate=d_year@6 IN (SET) ([2000, 2001, 2002, 2003]), pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2003 AND 2003 <= d_year_max@1, required_guarantees=[d_year in (2000, 2001, 2002, 2003)]
                  │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date, d_year], file_type=parquet, predicate=d_year@6 IN (SET) ([2000, 2001, 2002, 2003]), pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2003 AND 2003 <= d_year_max@1, required_guarantees=[d_year in (2000, 2001, 2002, 2003)]
                  │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date, d_year], file_type=parquet, predicate=d_year@6 IN (SET) ([2000, 2001, 2002, 2003]), pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2003 AND 2003 <= d_year_max@1, required_guarantees=[d_year in (2000, 2001, 2002, 2003)]
                  └──────────────────────────────────────────────────
              ┌───── Stage 14 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
              │ RepartitionExec: partitioning=Hash([c_customer_sk@0], 12), input_partitions=3
              │   AggregateExec: mode=Partial, gby=[c_customer_sk@2 as c_customer_sk], aggr=[sum(store_sales.ss_quantity * store_sales.ss_sales_price), max(max_store_sales.tpcds_cmax)]
              │     ProjectionExec: expr=[ss_quantity@1 as ss_quantity, ss_sales_price@2 as ss_sales_price, c_customer_sk@3 as c_customer_sk, tpcds_cmax@0 as tpcds_cmax]
              │       CrossJoinExec
              │         CoalescePartitionsExec
              │           [Stage 12] => NetworkBroadcastExec: partitions_per_consumer=1, stage_partitions=4, input_tasks=1
              │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(c_customer_sk@0, ss_customer_sk@0)], projection=[ss_quantity@2, ss_sales_price@3, c_customer_sk@0]
              │           CoalescePartitionsExec
              │             [Stage 13] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
              │           DistributedLeafExec:
              │             t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_customer_sk, ss_quantity, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ]
              │             t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_customer_sk, ss_quantity, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ]
              │             t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_customer_sk, ss_quantity, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ]
              │             t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_customer_sk, ss_quantity, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
                ┌───── Stage 12 ── Tasks: t0:[p0..p3]
                │ BroadcastExec: input_partitions=1, consumer_tasks=4, output_partitions=4
                │   ProjectionExec: expr=[max(sq2.csales)@0 as tpcds_cmax]
                │     AggregateExec: mode=Final, gby=[], aggr=[max(sq2.csales)]
                │       CoalescePartitionsExec
                │         [Stage 11] => NetworkCoalesceExec: output_partitions=6, input_tasks=2
                └──────────────────────────────────────────────────
                  ┌───── Stage 11 ── Tasks: t0:[p0..p2] t1:[p0..p2]
                  │ AggregateExec: mode=Partial, gby=[], aggr=[max(sq2.csales)]
                  │   ProjectionExec: expr=[sum(store_sales.ss_quantity * store_sales.ss_sales_price)@1 as csales]
                  │     AggregateExec: mode=FinalPartitioned, gby=[c_customer_sk@0 as c_customer_sk], aggr=[sum(store_sales.ss_quantity * store_sales.ss_sales_price)]
                  │       [Stage 10] => NetworkShuffleExec: output_partitions=3, input_tasks=4
                  └──────────────────────────────────────────────────
                    ┌───── Stage 10 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
                    │ RepartitionExec: partitioning=Hash([c_customer_sk@0], 6), input_partitions=3
                    │   AggregateExec: mode=Partial, gby=[c_customer_sk@2 as c_customer_sk], aggr=[sum(store_sales.ss_quantity * store_sales.ss_sales_price)]
                    │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[ss_quantity@2, ss_sales_price@3, c_customer_sk@4]
                    │       CoalescePartitionsExec
                    │         [Stage 8] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
                    │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(c_customer_sk@0, ss_customer_sk@1)], projection=[ss_sold_date_sk@1, ss_quantity@3, ss_sales_price@4, c_customer_sk@0]
                    │         CoalescePartitionsExec
                    │           [Stage 9] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
                    │         DistributedLeafExec:
                    │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_customer_sk, ss_quantity, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                    │           t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_customer_sk, ss_quantity, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                    │           t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_customer_sk, ss_quantity, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                    │           t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_customer_sk, ss_quantity, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                    └──────────────────────────────────────────────────
                      ┌───── Stage 8 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                      │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                      │   FilterExec: d_year@1 IN (SET) ([2000, 2001, 2002, 2003]), projection=[d_date_sk@0]
                      │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                      │       DistributedLeafExec:
                      │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 IN (SET) ([2000, 2001, 2002, 2003]), pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2003 AND 2003 <= d_year_max@1, required_guarantees=[d_year in (2000, 2001, 2002, 2003)]
                      │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 IN (SET) ([2000, 2001, 2002, 2003]), pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2003 AND 2003 <= d_year_max@1, required_guarantees=[d_year in (2000, 2001, 2002, 2003)]
                      │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 IN (SET) ([2000, 2001, 2002, 2003]), pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2003 AND 2003 <= d_year_max@1, required_guarantees=[d_year in (2000, 2001, 2002, 2003)]
                      │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 IN (SET) ([2000, 2001, 2002, 2003]), pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2003 AND 2003 <= d_year_max@1, required_guarantees=[d_year in (2000, 2001, 2002, 2003)]
                      └──────────────────────────────────────────────────
                      ┌───── Stage 9 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                      │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                      │   DistributedLeafExec:
                      │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk], file_type=parquet
                      │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk], file_type=parquet
                      │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk], file_type=parquet
                      │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk], file_type=parquet
                      └──────────────────────────────────────────────────
                ┌───── Stage 13 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                │   DistributedLeafExec:
                │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk], file_type=parquet
                │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk], file_type=parquet
                │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk], file_type=parquet
                │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk], file_type=parquet
                └──────────────────────────────────────────────────
            ┌───── Stage 30 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([c_last_name@0, c_first_name@1], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[c_last_name@3 as c_last_name, c_first_name@2 as c_first_name], aggr=[sum(web_sales.ws_quantity * web_sales.ws_list_price)]
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(ws_bill_customer_sk@0, c_customer_sk@0)], projection=[ws_quantity@1, ws_list_price@2, c_first_name@3, c_last_name@4]
            │       CoalescePartitionsExec
            │         [Stage 22] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │       FilterExec: CAST(sum(store_sales.ss_quantity * store_sales.ss_sales_price)@1 AS Decimal128(38, 15)) > CAST(0.5 * CAST(max(max_store_sales.tpcds_cmax)@2 AS Float64) AS Decimal128(38, 15)), projection=[c_customer_sk@0]
            │         AggregateExec: mode=FinalPartitioned, gby=[c_customer_sk@0 as c_customer_sk], aggr=[sum(store_sales.ss_quantity * store_sales.ss_sales_price), max(max_store_sales.tpcds_cmax)]
            │           [Stage 29] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            └──────────────────────────────────────────────────
              ┌───── Stage 22 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(ws_item_sk@0, item_sk@0)], projection=[ws_bill_customer_sk@1, ws_quantity@2, ws_list_price@3, c_first_name@4, c_last_name@5]
              │     CoalescePartitionsExec
              │       [Stage 18] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
              │     ProjectionExec: expr=[i_item_sk@0 as item_sk]
              │       FilterExec: count(Int64(1))@1 > 4, projection=[i_item_sk@0]
              │         ProjectionExec: expr=[i_item_sk@1 as i_item_sk, count(Int64(1))@3 as count(Int64(1))]
              │           AggregateExec: mode=FinalPartitioned, gby=[itemdesc@0 as itemdesc, i_item_sk@1 as i_item_sk, d_date@2 as d_date], aggr=[count(Int64(1))]
              │             [Stage 21] => NetworkShuffleExec: output_partitions=3, input_tasks=4
              └──────────────────────────────────────────────────
                ┌───── Stage 18 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ws_sold_date_sk@0)], projection=[ws_item_sk@2, ws_bill_customer_sk@3, ws_quantity@4, ws_list_price@5, c_first_name@6, c_last_name@7]
                │     CoalescePartitionsExec
                │       [Stage 16] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
                │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(c_customer_sk@0, ws_bill_customer_sk@2)], projection=[ws_sold_date_sk@3, ws_item_sk@4, ws_bill_customer_sk@5, ws_quantity@6, ws_list_price@7, c_first_name@1, c_last_name@2]
                │       CoalescePartitionsExec
                │         [Stage 17] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_bill_customer_sk, ws_quantity, ws_list_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │         t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_bill_customer_sk, ws_quantity, ws_list_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │         t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_bill_customer_sk, ws_quantity, ws_list_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │         t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_bill_customer_sk, ws_quantity, ws_list_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                └──────────────────────────────────────────────────
                  ┌───── Stage 16 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                  │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                  │   FilterExec: d_year@1 = 2000 AND d_moy@2 = 2, projection=[d_date_sk@0]
                  │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                  │       DistributedLeafExec:
                  │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2000 AND d_moy@8 = 2, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 2 AND 2 <= d_moy_max@5, required_guarantees=[d_moy in (2), d_year in (2000)]
                  │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2000 AND d_moy@8 = 2, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 2 AND 2 <= d_moy_max@5, required_guarantees=[d_moy in (2), d_year in (2000)]
                  │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2000 AND d_moy@8 = 2, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 2 AND 2 <= d_moy_max@5, required_guarantees=[d_moy in (2), d_year in (2000)]
                  │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2000 AND d_moy@8 = 2, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 2 AND 2 <= d_moy_max@5, required_guarantees=[d_moy in (2), d_year in (2000)]
                  └──────────────────────────────────────────────────
                  ┌───── Stage 17 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                  │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                  │   DistributedLeafExec:
                  │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_first_name, c_last_name], file_type=parquet
                  │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_first_name, c_last_name], file_type=parquet
                  │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_first_name, c_last_name], file_type=parquet
                  │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_first_name, c_last_name], file_type=parquet
                  └──────────────────────────────────────────────────
                ┌───── Stage 21 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
                │ RepartitionExec: partitioning=Hash([itemdesc@0, i_item_sk@1, d_date@2], 12), input_partitions=3
                │   AggregateExec: mode=Partial, gby=[itemdesc@1 as itemdesc, i_item_sk@2 as i_item_sk, d_date@0 as d_date], aggr=[count(Int64(1))]
                │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@1, ss_item_sk@0)], projection=[d_date@3, itemdesc@0, i_item_sk@1]
                │       CoalescePartitionsExec
                │         [Stage 19] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
                │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[ss_item_sk@3, d_date@1]
                │         CoalescePartitionsExec
                │           [Stage 20] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
                │         DistributedLeafExec:
                │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │           t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │           t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │           t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                └──────────────────────────────────────────────────
                  ┌───── Stage 19 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                  │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                  │   ProjectionExec: expr=[substr(i_item_desc@1, 1, 30) as itemdesc, i_item_sk@0 as i_item_sk]
                  │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                  │       DistributedLeafExec:
                  │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_desc], file_type=parquet, predicate=DynamicFilter [ empty ]
                  │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_desc], file_type=parquet, predicate=DynamicFilter [ empty ]
                  │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_desc], file_type=parquet, predicate=DynamicFilter [ empty ]
                  │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_desc], file_type=parquet, predicate=DynamicFilter [ empty ]
                  └──────────────────────────────────────────────────
                  ┌───── Stage 20 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                  │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                  │   FilterExec: d_year@2 IN (SET) ([2000, 2001, 2002, 2003]), projection=[d_date_sk@0, d_date@1]
                  │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                  │       DistributedLeafExec:
                  │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date, d_year], file_type=parquet, predicate=d_year@6 IN (SET) ([2000, 2001, 2002, 2003]), pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2003 AND 2003 <= d_year_max@1, required_guarantees=[d_year in (2000, 2001, 2002, 2003)]
                  │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date, d_year], file_type=parquet, predicate=d_year@6 IN (SET) ([2000, 2001, 2002, 2003]), pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2003 AND 2003 <= d_year_max@1, required_guarantees=[d_year in (2000, 2001, 2002, 2003)]
                  │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date, d_year], file_type=parquet, predicate=d_year@6 IN (SET) ([2000, 2001, 2002, 2003]), pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2003 AND 2003 <= d_year_max@1, required_guarantees=[d_year in (2000, 2001, 2002, 2003)]
                  │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date, d_year], file_type=parquet, predicate=d_year@6 IN (SET) ([2000, 2001, 2002, 2003]), pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2003 AND 2003 <= d_year_max@1, required_guarantees=[d_year in (2000, 2001, 2002, 2003)]
                  └──────────────────────────────────────────────────
              ┌───── Stage 29 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
              │ RepartitionExec: partitioning=Hash([c_customer_sk@0], 12), input_partitions=3
              │   AggregateExec: mode=Partial, gby=[c_customer_sk@2 as c_customer_sk], aggr=[sum(store_sales.ss_quantity * store_sales.ss_sales_price), max(max_store_sales.tpcds_cmax)]
              │     ProjectionExec: expr=[ss_quantity@1 as ss_quantity, ss_sales_price@2 as ss_sales_price, c_customer_sk@3 as c_customer_sk, tpcds_cmax@0 as tpcds_cmax]
              │       CrossJoinExec
              │         CoalescePartitionsExec
              │           [Stage 27] => NetworkBroadcastExec: partitions_per_consumer=1, stage_partitions=4, input_tasks=1
              │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(c_customer_sk@0, ss_customer_sk@0)], projection=[ss_quantity@2, ss_sales_price@3, c_customer_sk@0]
              │           CoalescePartitionsExec
              │             [Stage 28] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
              │           DistributedLeafExec:
              │             t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_customer_sk, ss_quantity, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ]
              │             t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_customer_sk, ss_quantity, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ]
              │             t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_customer_sk, ss_quantity, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ]
              │             t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_customer_sk, ss_quantity, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
                ┌───── Stage 27 ── Tasks: t0:[p0..p3]
                │ BroadcastExec: input_partitions=1, consumer_tasks=4, output_partitions=4
                │   ProjectionExec: expr=[max(sq2.csales)@0 as tpcds_cmax]
                │     AggregateExec: mode=Final, gby=[], aggr=[max(sq2.csales)]
                │       CoalescePartitionsExec
                │         [Stage 26] => NetworkCoalesceExec: output_partitions=6, input_tasks=2
                └──────────────────────────────────────────────────
                  ┌───── Stage 26 ── Tasks: t0:[p0..p2] t1:[p0..p2]
                  │ AggregateExec: mode=Partial, gby=[], aggr=[max(sq2.csales)]
                  │   ProjectionExec: expr=[sum(store_sales.ss_quantity * store_sales.ss_sales_price)@1 as csales]
                  │     AggregateExec: mode=FinalPartitioned, gby=[c_customer_sk@0 as c_customer_sk], aggr=[sum(store_sales.ss_quantity * store_sales.ss_sales_price)]
                  │       [Stage 25] => NetworkShuffleExec: output_partitions=3, input_tasks=4
                  └──────────────────────────────────────────────────
                    ┌───── Stage 25 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
                    │ RepartitionExec: partitioning=Hash([c_customer_sk@0], 6), input_partitions=3
                    │   AggregateExec: mode=Partial, gby=[c_customer_sk@2 as c_customer_sk], aggr=[sum(store_sales.ss_quantity * store_sales.ss_sales_price)]
                    │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[ss_quantity@2, ss_sales_price@3, c_customer_sk@4]
                    │       CoalescePartitionsExec
                    │         [Stage 23] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
                    │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(c_customer_sk@0, ss_customer_sk@1)], projection=[ss_sold_date_sk@1, ss_quantity@3, ss_sales_price@4, c_customer_sk@0]
                    │         CoalescePartitionsExec
                    │           [Stage 24] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
                    │         DistributedLeafExec:
                    │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_customer_sk, ss_quantity, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                    │           t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_customer_sk, ss_quantity, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                    │           t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_customer_sk, ss_quantity, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                    │           t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_customer_sk, ss_quantity, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                    └──────────────────────────────────────────────────
                      ┌───── Stage 23 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                      │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                      │   FilterExec: d_year@1 IN (SET) ([2000, 2001, 2002, 2003]), projection=[d_date_sk@0]
                      │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                      │       DistributedLeafExec:
                      │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 IN (SET) ([2000, 2001, 2002, 2003]), pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2003 AND 2003 <= d_year_max@1, required_guarantees=[d_year in (2000, 2001, 2002, 2003)]
                      │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 IN (SET) ([2000, 2001, 2002, 2003]), pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2003 AND 2003 <= d_year_max@1, required_guarantees=[d_year in (2000, 2001, 2002, 2003)]
                      │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 IN (SET) ([2000, 2001, 2002, 2003]), pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2003 AND 2003 <= d_year_max@1, required_guarantees=[d_year in (2000, 2001, 2002, 2003)]
                      │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 IN (SET) ([2000, 2001, 2002, 2003]), pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2003 AND 2003 <= d_year_max@1, required_guarantees=[d_year in (2000, 2001, 2002, 2003)]
                      └──────────────────────────────────────────────────
                      ┌───── Stage 24 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                      │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                      │   DistributedLeafExec:
                      │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk], file_type=parquet
                      │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk], file_type=parquet
                      │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk], file_type=parquet
                      │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk], file_type=parquet
                      └──────────────────────────────────────────────────
                ┌───── Stage 28 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                │   DistributedLeafExec:
                │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk], file_type=parquet
                │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk], file_type=parquet
                │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk], file_type=parquet
                │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk], file_type=parquet
                └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_24() -> Result<()> {
        let display = test_tpcds_query("q24").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [c_last_name@0 ASC NULLS LAST, c_first_name@1 ASC NULLS LAST, s_store_name@2 ASC NULLS LAST]
        │   SortExec: expr=[c_last_name@0 ASC NULLS LAST, c_first_name@1 ASC NULLS LAST, s_store_name@2 ASC NULLS LAST], preserve_partitioning=[true]
        │     ProjectionExec: expr=[c_last_name@1 as c_last_name, c_first_name@2 as c_first_name, s_store_name@3 as s_store_name, sum(ssales.netpaid)@4 as paid]
        │       NestedLoopJoinExec: join_type=Inner, filter=join_proj_push_down_1@1 > Float64(0.05) * avg(ssales.netpaid)@0, projection=[Float64(0.05) * avg(ssales.netpaid)@0, c_last_name@1, c_first_name@2, s_store_name@3, sum(ssales.netpaid)@4]
        │         CoalescePartitionsExec
        │           BroadcastExec: input_partitions=1, consumer_tasks=1, output_partitions=1
        │             ProjectionExec: expr=[CAST(0.05 * CAST(avg(ssales.netpaid)@0 AS Float64) AS Decimal128(38, 15)) as Float64(0.05) * avg(ssales.netpaid)]
        │               AggregateExec: mode=Final, gby=[], aggr=[avg(ssales.netpaid)]
        │                 CoalescePartitionsExec
        │                   [Stage 8] => NetworkCoalesceExec: output_partitions=6, input_tasks=2
        │         ProjectionExec: expr=[c_last_name@0 as c_last_name, c_first_name@1 as c_first_name, s_store_name@2 as s_store_name, sum(ssales.netpaid)@3 as sum(ssales.netpaid), CAST(sum(ssales.netpaid)@3 AS Decimal128(38, 15)) as join_proj_push_down_1]
        │           AggregateExec: mode=FinalPartitioned, gby=[c_last_name@0 as c_last_name, c_first_name@1 as c_first_name, s_store_name@2 as s_store_name], aggr=[sum(ssales.netpaid)]
        │             [Stage 16] => NetworkShuffleExec: output_partitions=3, input_tasks=2
        └──────────────────────────────────────────────────
          ┌───── Stage 8 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ AggregateExec: mode=Partial, gby=[], aggr=[avg(ssales.netpaid)]
          │   ProjectionExec: expr=[sum(store_sales.ss_net_paid)@10 as netpaid]
          │     AggregateExec: mode=FinalPartitioned, gby=[c_last_name@0 as c_last_name, c_first_name@1 as c_first_name, s_store_name@2 as s_store_name, ca_state@3 as ca_state, s_state@4 as s_state, i_color@5 as i_color, i_current_price@6 as i_current_price, i_manager_id@7 as i_manager_id, i_units@8 as i_units, i_size@9 as i_size], aggr=[sum(store_sales.ss_net_paid)]
          │       [Stage 7] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 7 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([c_last_name@0, c_first_name@1, s_store_name@2, ca_state@3, s_state@4, i_color@5, i_current_price@6, i_manager_id@7, i_units@8, i_size@9], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[c_last_name@9 as c_last_name, c_first_name@8 as c_first_name, s_store_name@1 as s_store_name, ca_state@10 as ca_state, s_state@2 as s_state, i_color@5 as i_color, i_current_price@3 as i_current_price, i_manager_id@7 as i_manager_id, i_units@6 as i_units, i_size@4 as i_size], aggr=[sum(store_sales.ss_net_paid)]
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(ca_address_sk@0, c_current_addr_sk@9), (ca_zip@2, s_zip@3)], filter=c_birth_country@0 != upper(ca_country@1), projection=[ss_net_paid@4, s_store_name@5, s_state@6, i_current_price@8, i_size@9, i_color@10, i_units@11, i_manager_id@12, c_first_name@14, c_last_name@15, ca_state@1]
            │       CoalescePartitionsExec
            │         [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(c_customer_sk@0, ss_customer_sk@0)], projection=[ss_net_paid@6, s_store_name@7, s_state@8, s_zip@9, i_current_price@10, i_size@11, i_color@12, i_units@13, i_manager_id@14, c_current_addr_sk@1, c_first_name@2, c_last_name@3, c_birth_country@4]
            │         CoalescePartitionsExec
            │           [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, ss_item_sk@0)], projection=[ss_customer_sk@7, ss_net_paid@8, s_store_name@9, s_state@10, s_zip@11, i_current_price@1, i_size@2, i_color@3, i_units@4, i_manager_id@5]
            │           CoalescePartitionsExec
            │             [Stage 3] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │           HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(s_store_sk@0, ss_store_sk@2)], projection=[ss_item_sk@4, ss_customer_sk@5, ss_net_paid@7, s_store_name@1, s_state@2, s_zip@3]
            │             CoalescePartitionsExec
            │               [Stage 4] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │             HashJoinExec: mode=Partitioned, join_type=Inner, on=[(sr_ticket_number@1, ss_ticket_number@3), (sr_item_sk@0, ss_item_sk@0)], projection=[ss_item_sk@2, ss_customer_sk@3, ss_store_sk@4, ss_net_paid@6]
            │               [Stage 5] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            │               [Stage 6] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            └──────────────────────────────────────────────────
              ┌───── Stage 1 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_state, ca_zip, ca_country], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_state, ca_zip, ca_country], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_state, ca_zip, ca_country], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_state, ca_zip, ca_country], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 2 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_addr_sk, c_first_name, c_last_name, c_birth_country], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_addr_sk, c_first_name, c_last_name, c_birth_country], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_addr_sk, c_first_name, c_last_name, c_birth_country], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_addr_sk, c_first_name, c_last_name, c_birth_country], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 3 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_current_price, i_size, i_color, i_units, i_manager_id], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_current_price, i_size, i_color, i_units, i_manager_id], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_current_price, i_size, i_color, i_units, i_manager_id], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_current_price, i_size, i_color, i_units, i_manager_id], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 4 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: s_market_id@2 = 8, projection=[s_store_sk@0, s_store_name@1, s_state@3, s_zip@4]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name, s_market_id, s_state, s_zip], file_type=parquet, predicate=s_market_id@10 = 8, pruning_predicate=s_market_id_null_count@2 != row_count@3 AND s_market_id_min@0 <= 8 AND 8 <= s_market_id_max@1, required_guarantees=[s_market_id in (8)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name, s_market_id, s_state, s_zip], file_type=parquet, predicate=s_market_id@10 = 8, pruning_predicate=s_market_id_null_count@2 != row_count@3 AND s_market_id_min@0 <= 8 AND 8 <= s_market_id_max@1, required_guarantees=[s_market_id in (8)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name, s_market_id, s_state, s_zip], file_type=parquet, predicate=s_market_id@10 = 8, pruning_predicate=s_market_id_null_count@2 != row_count@3 AND s_market_id_min@0 <= 8 AND 8 <= s_market_id_max@1, required_guarantees=[s_market_id in (8)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name, s_market_id, s_state, s_zip], file_type=parquet, predicate=s_market_id@10 = 8, pruning_predicate=s_market_id_null_count@2 != row_count@3 AND s_market_id_min@0 <= 8 AND 8 <= s_market_id_max@1, required_guarantees=[s_market_id in (8)]
              └──────────────────────────────────────────────────
              ┌───── Stage 5 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
              │ RepartitionExec: partitioning=Hash([sr_ticket_number@1, sr_item_sk@0], 12), input_partitions=3
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>]]}, projection=[sr_item_sk, sr_ticket_number], file_type=parquet
              │     t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-3.parquet:<int>..<int>]]}, projection=[sr_item_sk, sr_ticket_number], file_type=parquet
              │     t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-3.parquet:<int>..<int>]]}, projection=[sr_item_sk, sr_ticket_number], file_type=parquet
              │     t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-3.parquet:<int>..<int>]]}, projection=[sr_item_sk, sr_ticket_number], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 6 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
              │ RepartitionExec: partitioning=Hash([ss_ticket_number@3, ss_item_sk@0], 12), input_partitions=3
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_item_sk, ss_customer_sk, ss_store_sk, ss_ticket_number, ss_net_paid], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │     t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_item_sk, ss_customer_sk, ss_store_sk, ss_ticket_number, ss_net_paid], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │     t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_item_sk, ss_customer_sk, ss_store_sk, ss_ticket_number, ss_net_paid], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │     t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_item_sk, ss_customer_sk, ss_store_sk, ss_ticket_number, ss_net_paid], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
          ┌───── Stage 16 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ RepartitionExec: partitioning=Hash([c_last_name@0, c_first_name@1, s_store_name@2], 3), input_partitions=3
          │   AggregateExec: mode=Partial, gby=[c_last_name@0 as c_last_name, c_first_name@1 as c_first_name, s_store_name@2 as s_store_name], aggr=[sum(ssales.netpaid)]
          │     ProjectionExec: expr=[c_last_name@0 as c_last_name, c_first_name@1 as c_first_name, s_store_name@2 as s_store_name, sum(store_sales.ss_net_paid)@10 as netpaid]
          │       AggregateExec: mode=FinalPartitioned, gby=[c_last_name@0 as c_last_name, c_first_name@1 as c_first_name, s_store_name@2 as s_store_name, ca_state@3 as ca_state, s_state@4 as s_state, i_color@5 as i_color, i_current_price@6 as i_current_price, i_manager_id@7 as i_manager_id, i_units@8 as i_units, i_size@9 as i_size], aggr=[sum(store_sales.ss_net_paid)], ordering_mode=PartiallySorted([5])
          │         [Stage 15] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 15 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([c_last_name@0, c_first_name@1, s_store_name@2, ca_state@3, s_state@4, i_color@5, i_current_price@6, i_manager_id@7, i_units@8, i_size@9], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[c_last_name@9 as c_last_name, c_first_name@8 as c_first_name, s_store_name@1 as s_store_name, ca_state@10 as ca_state, s_state@2 as s_state, i_color@5 as i_color, i_current_price@3 as i_current_price, i_manager_id@7 as i_manager_id, i_units@6 as i_units, i_size@4 as i_size], aggr=[sum(store_sales.ss_net_paid)], ordering_mode=PartiallySorted([5])
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(ca_address_sk@0, c_current_addr_sk@9), (ca_zip@2, s_zip@3)], filter=c_birth_country@0 != upper(ca_country@1), projection=[ss_net_paid@4, s_store_name@5, s_state@6, i_current_price@8, i_size@9, i_color@10, i_units@11, i_manager_id@12, c_first_name@14, c_last_name@15, ca_state@1]
            │       CoalescePartitionsExec
            │         [Stage 9] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(c_customer_sk@0, ss_customer_sk@0)], projection=[ss_net_paid@6, s_store_name@7, s_state@8, s_zip@9, i_current_price@10, i_size@11, i_color@12, i_units@13, i_manager_id@14, c_current_addr_sk@1, c_first_name@2, c_last_name@3, c_birth_country@4]
            │         CoalescePartitionsExec
            │           [Stage 10] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, ss_item_sk@0)], projection=[ss_customer_sk@7, ss_net_paid@8, s_store_name@9, s_state@10, s_zip@11, i_current_price@1, i_size@2, i_color@3, i_units@4, i_manager_id@5]
            │           CoalescePartitionsExec
            │             [Stage 11] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │           HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(s_store_sk@0, ss_store_sk@2)], projection=[ss_item_sk@4, ss_customer_sk@5, ss_net_paid@7, s_store_name@1, s_state@2, s_zip@3]
            │             CoalescePartitionsExec
            │               [Stage 12] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │             HashJoinExec: mode=Partitioned, join_type=Inner, on=[(sr_ticket_number@1, ss_ticket_number@3), (sr_item_sk@0, ss_item_sk@0)], projection=[ss_item_sk@2, ss_customer_sk@3, ss_store_sk@4, ss_net_paid@6]
            │               [Stage 13] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            │               [Stage 14] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            └──────────────────────────────────────────────────
              ┌───── Stage 9 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_state, ca_zip, ca_country], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_state, ca_zip, ca_country], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_state, ca_zip, ca_country], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_state, ca_zip, ca_country], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 10 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_addr_sk, c_first_name, c_last_name, c_birth_country], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_addr_sk, c_first_name, c_last_name, c_birth_country], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_addr_sk, c_first_name, c_last_name, c_birth_country], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_addr_sk, c_first_name, c_last_name, c_birth_country], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 11 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: i_color@3 = peach
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_current_price, i_size, i_color, i_units, i_manager_id], file_type=parquet, predicate=i_color@17 = peach, pruning_predicate=i_color_null_count@2 != row_count@3 AND i_color_min@0 <= peach AND peach <= i_color_max@1, required_guarantees=[i_color in (peach)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_current_price, i_size, i_color, i_units, i_manager_id], file_type=parquet, predicate=i_color@17 = peach, pruning_predicate=i_color_null_count@2 != row_count@3 AND i_color_min@0 <= peach AND peach <= i_color_max@1, required_guarantees=[i_color in (peach)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_current_price, i_size, i_color, i_units, i_manager_id], file_type=parquet, predicate=i_color@17 = peach, pruning_predicate=i_color_null_count@2 != row_count@3 AND i_color_min@0 <= peach AND peach <= i_color_max@1, required_guarantees=[i_color in (peach)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_current_price, i_size, i_color, i_units, i_manager_id], file_type=parquet, predicate=i_color@17 = peach, pruning_predicate=i_color_null_count@2 != row_count@3 AND i_color_min@0 <= peach AND peach <= i_color_max@1, required_guarantees=[i_color in (peach)]
              └──────────────────────────────────────────────────
              ┌───── Stage 12 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: s_market_id@2 = 8, projection=[s_store_sk@0, s_store_name@1, s_state@3, s_zip@4]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name, s_market_id, s_state, s_zip], file_type=parquet, predicate=s_market_id@10 = 8, pruning_predicate=s_market_id_null_count@2 != row_count@3 AND s_market_id_min@0 <= 8 AND 8 <= s_market_id_max@1, required_guarantees=[s_market_id in (8)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name, s_market_id, s_state, s_zip], file_type=parquet, predicate=s_market_id@10 = 8, pruning_predicate=s_market_id_null_count@2 != row_count@3 AND s_market_id_min@0 <= 8 AND 8 <= s_market_id_max@1, required_guarantees=[s_market_id in (8)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name, s_market_id, s_state, s_zip], file_type=parquet, predicate=s_market_id@10 = 8, pruning_predicate=s_market_id_null_count@2 != row_count@3 AND s_market_id_min@0 <= 8 AND 8 <= s_market_id_max@1, required_guarantees=[s_market_id in (8)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name, s_market_id, s_state, s_zip], file_type=parquet, predicate=s_market_id@10 = 8, pruning_predicate=s_market_id_null_count@2 != row_count@3 AND s_market_id_min@0 <= 8 AND 8 <= s_market_id_max@1, required_guarantees=[s_market_id in (8)]
              └──────────────────────────────────────────────────
              ┌───── Stage 13 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
              │ RepartitionExec: partitioning=Hash([sr_ticket_number@1, sr_item_sk@0], 12), input_partitions=3
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>]]}, projection=[sr_item_sk, sr_ticket_number], file_type=parquet
              │     t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-3.parquet:<int>..<int>]]}, projection=[sr_item_sk, sr_ticket_number], file_type=parquet
              │     t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-3.parquet:<int>..<int>]]}, projection=[sr_item_sk, sr_ticket_number], file_type=parquet
              │     t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-3.parquet:<int>..<int>]]}, projection=[sr_item_sk, sr_ticket_number], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 14 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
              │ RepartitionExec: partitioning=Hash([ss_ticket_number@3, ss_item_sk@0], 12), input_partitions=3
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_item_sk, ss_customer_sk, ss_store_sk, ss_ticket_number, ss_net_paid], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │     t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_item_sk, ss_customer_sk, ss_store_sk, ss_ticket_number, ss_net_paid], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │     t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_item_sk, ss_customer_sk, ss_store_sk, ss_ticket_number, ss_net_paid], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │     t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_item_sk, ss_customer_sk, ss_store_sk, ss_ticket_number, ss_net_paid], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_25() -> Result<()> {
        let display = test_tpcds_query("q25").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [i_item_id@0 ASC NULLS LAST, i_item_desc@1 ASC NULLS LAST, s_store_id@2 ASC NULLS LAST, s_store_name@3 ASC NULLS LAST], fetch=100
        │   [Stage 11] => NetworkCoalesceExec: output_partitions=6, input_tasks=2
        └──────────────────────────────────────────────────
          ┌───── Stage 11 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ SortExec: TopK(fetch=100), expr=[i_item_id@0 ASC NULLS LAST, i_item_desc@1 ASC NULLS LAST, s_store_id@2 ASC NULLS LAST, s_store_name@3 ASC NULLS LAST], preserve_partitioning=[true]
          │   ProjectionExec: expr=[i_item_id@0 as i_item_id, i_item_desc@1 as i_item_desc, s_store_id@2 as s_store_id, s_store_name@3 as s_store_name, sum(store_sales.ss_net_profit)@4 as store_sales_profit, sum(store_returns.sr_net_loss)@5 as store_returns_loss, sum(catalog_sales.cs_net_profit)@6 as catalog_sales_profit]
          │     AggregateExec: mode=FinalPartitioned, gby=[i_item_id@0 as i_item_id, i_item_desc@1 as i_item_desc, s_store_id@2 as s_store_id, s_store_name@3 as s_store_name], aggr=[sum(store_sales.ss_net_profit), sum(store_returns.sr_net_loss), sum(catalog_sales.cs_net_profit)]
          │       [Stage 10] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 10 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([i_item_id@0, i_item_desc@1, s_store_id@2, s_store_name@3], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[i_item_id@5 as i_item_id, i_item_desc@6 as i_item_desc, s_store_id@3 as s_store_id, s_store_name@4 as s_store_name], aggr=[sum(store_sales.ss_net_profit), sum(store_returns.sr_net_loss), sum(catalog_sales.cs_net_profit)]
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, ss_item_sk@0)], projection=[ss_net_profit@4, sr_net_loss@5, cs_net_profit@6, s_store_id@7, s_store_name@8, i_item_id@1, i_item_desc@2]
            │       CoalescePartitionsExec
            │         [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(s_store_sk@0, ss_store_sk@1)], projection=[ss_item_sk@3, ss_net_profit@5, sr_net_loss@6, cs_net_profit@7, s_store_id@1, s_store_name@2]
            │         CoalescePartitionsExec
            │           [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, cs_sold_date_sk@4)], projection=[ss_item_sk@1, ss_store_sk@2, ss_net_profit@3, sr_net_loss@4, cs_net_profit@6]
            │           CoalescePartitionsExec
            │             [Stage 3] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │           HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, sr_returned_date_sk@3)], projection=[ss_item_sk@1, ss_store_sk@2, ss_net_profit@3, sr_net_loss@5, cs_sold_date_sk@6, cs_net_profit@7]
            │             CoalescePartitionsExec
            │               [Stage 4] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │             HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[ss_item_sk@2, ss_store_sk@3, ss_net_profit@4, sr_returned_date_sk@5, sr_net_loss@6, cs_sold_date_sk@7, cs_net_profit@8]
            │               CoalescePartitionsExec
            │                 [Stage 5] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │               HashJoinExec: mode=Partitioned, join_type=Inner, on=[(cs_bill_customer_sk@1, sr_customer_sk@6), (cs_item_sk@2, sr_item_sk@5)], projection=[ss_sold_date_sk@4, ss_item_sk@5, ss_store_sk@6, ss_net_profit@7, sr_returned_date_sk@8, sr_net_loss@11, cs_sold_date_sk@0, cs_net_profit@3]
            │                 [Stage 6] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            │                 [Stage 9] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            └──────────────────────────────────────────────────
              ┌───── Stage 1 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id, i_item_desc], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id, i_item_desc], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id, i_item_desc], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id, i_item_desc], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 2 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_id, s_store_name], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_id, s_store_name], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_id, s_store_name], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_id, s_store_name], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 3 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_moy@2 >= 4 AND d_moy@2 <= 10 AND d_year@1 = 2001, projection=[d_date_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_moy@8 >= 4 AND d_moy@8 <= 10 AND d_year@6 = 2001, pruning_predicate=d_moy_null_count@1 != row_count@2 AND d_moy_max@0 >= 4 AND d_moy_null_count@1 != row_count@2 AND d_moy_min@3 <= 10 AND d_year_null_count@6 != row_count@2 AND d_year_min@4 <= 2001 AND 2001 <= d_year_max@5, required_guarantees=[d_year in (2001)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_moy@8 >= 4 AND d_moy@8 <= 10 AND d_year@6 = 2001, pruning_predicate=d_moy_null_count@1 != row_count@2 AND d_moy_max@0 >= 4 AND d_moy_null_count@1 != row_count@2 AND d_moy_min@3 <= 10 AND d_year_null_count@6 != row_count@2 AND d_year_min@4 <= 2001 AND 2001 <= d_year_max@5, required_guarantees=[d_year in (2001)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_moy@8 >= 4 AND d_moy@8 <= 10 AND d_year@6 = 2001, pruning_predicate=d_moy_null_count@1 != row_count@2 AND d_moy_max@0 >= 4 AND d_moy_null_count@1 != row_count@2 AND d_moy_min@3 <= 10 AND d_year_null_count@6 != row_count@2 AND d_year_min@4 <= 2001 AND 2001 <= d_year_max@5, required_guarantees=[d_year in (2001)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_moy@8 >= 4 AND d_moy@8 <= 10 AND d_year@6 = 2001, pruning_predicate=d_moy_null_count@1 != row_count@2 AND d_moy_max@0 >= 4 AND d_moy_null_count@1 != row_count@2 AND d_moy_min@3 <= 10 AND d_year_null_count@6 != row_count@2 AND d_year_min@4 <= 2001 AND 2001 <= d_year_max@5, required_guarantees=[d_year in (2001)]
              └──────────────────────────────────────────────────
              ┌───── Stage 4 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_moy@2 >= 4 AND d_moy@2 <= 10 AND d_year@1 = 2001, projection=[d_date_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_moy@8 >= 4 AND d_moy@8 <= 10 AND d_year@6 = 2001, pruning_predicate=d_moy_null_count@1 != row_count@2 AND d_moy_max@0 >= 4 AND d_moy_null_count@1 != row_count@2 AND d_moy_min@3 <= 10 AND d_year_null_count@6 != row_count@2 AND d_year_min@4 <= 2001 AND 2001 <= d_year_max@5, required_guarantees=[d_year in (2001)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_moy@8 >= 4 AND d_moy@8 <= 10 AND d_year@6 = 2001, pruning_predicate=d_moy_null_count@1 != row_count@2 AND d_moy_max@0 >= 4 AND d_moy_null_count@1 != row_count@2 AND d_moy_min@3 <= 10 AND d_year_null_count@6 != row_count@2 AND d_year_min@4 <= 2001 AND 2001 <= d_year_max@5, required_guarantees=[d_year in (2001)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_moy@8 >= 4 AND d_moy@8 <= 10 AND d_year@6 = 2001, pruning_predicate=d_moy_null_count@1 != row_count@2 AND d_moy_max@0 >= 4 AND d_moy_null_count@1 != row_count@2 AND d_moy_min@3 <= 10 AND d_year_null_count@6 != row_count@2 AND d_year_min@4 <= 2001 AND 2001 <= d_year_max@5, required_guarantees=[d_year in (2001)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_moy@8 >= 4 AND d_moy@8 <= 10 AND d_year@6 = 2001, pruning_predicate=d_moy_null_count@1 != row_count@2 AND d_moy_max@0 >= 4 AND d_moy_null_count@1 != row_count@2 AND d_moy_min@3 <= 10 AND d_year_null_count@6 != row_count@2 AND d_year_min@4 <= 2001 AND 2001 <= d_year_max@5, required_guarantees=[d_year in (2001)]
              └──────────────────────────────────────────────────
              ┌───── Stage 5 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_moy@2 = 4 AND d_year@1 = 2001, projection=[d_date_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_moy@8 = 4 AND d_year@6 = 2001, pruning_predicate=d_moy_null_count@2 != row_count@3 AND d_moy_min@0 <= 4 AND 4 <= d_moy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 2001 AND 2001 <= d_year_max@5, required_guarantees=[d_moy in (4), d_year in (2001)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_moy@8 = 4 AND d_year@6 = 2001, pruning_predicate=d_moy_null_count@2 != row_count@3 AND d_moy_min@0 <= 4 AND 4 <= d_moy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 2001 AND 2001 <= d_year_max@5, required_guarantees=[d_moy in (4), d_year in (2001)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_moy@8 = 4 AND d_year@6 = 2001, pruning_predicate=d_moy_null_count@2 != row_count@3 AND d_moy_min@0 <= 4 AND 4 <= d_moy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 2001 AND 2001 <= d_year_max@5, required_guarantees=[d_moy in (4), d_year in (2001)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_moy@8 = 4 AND d_year@6 = 2001, pruning_predicate=d_moy_null_count@2 != row_count@3 AND d_moy_min@0 <= 4 AND 4 <= d_moy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 2001 AND 2001 <= d_year_max@5, required_guarantees=[d_moy in (4), d_year in (2001)]
              └──────────────────────────────────────────────────
              ┌───── Stage 6 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
              │ RepartitionExec: partitioning=Hash([cs_bill_customer_sk@1, cs_item_sk@2], 12), input_partitions=3
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_bill_customer_sk, cs_item_sk, cs_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_bill_customer_sk, cs_item_sk, cs_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_bill_customer_sk, cs_item_sk, cs_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_bill_customer_sk, cs_item_sk, cs_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
              ┌───── Stage 9 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
              │ RepartitionExec: partitioning=Hash([sr_customer_sk@6, sr_item_sk@5], 12), input_partitions=3
              │   HashJoinExec: mode=Partitioned, join_type=Inner, on=[(sr_customer_sk@2, ss_customer_sk@2), (sr_item_sk@1, ss_item_sk@1), (sr_ticket_number@3, ss_ticket_number@4)], projection=[ss_sold_date_sk@5, ss_item_sk@6, ss_store_sk@8, ss_net_profit@10, sr_returned_date_sk@0, sr_item_sk@1, sr_customer_sk@2, sr_net_loss@4]
              │     [Stage 7] => NetworkShuffleExec: output_partitions=3, input_tasks=4
              │     [Stage 8] => NetworkShuffleExec: output_partitions=3, input_tasks=4
              └──────────────────────────────────────────────────
                ┌───── Stage 7 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
                │ RepartitionExec: partitioning=Hash([sr_customer_sk@2, sr_item_sk@1, sr_ticket_number@3], 12), input_partitions=3
                │   DistributedLeafExec:
                │     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>]]}, projection=[sr_returned_date_sk, sr_item_sk, sr_customer_sk, sr_ticket_number, sr_net_loss], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │     t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-3.parquet:<int>..<int>]]}, projection=[sr_returned_date_sk, sr_item_sk, sr_customer_sk, sr_ticket_number, sr_net_loss], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │     t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-3.parquet:<int>..<int>]]}, projection=[sr_returned_date_sk, sr_item_sk, sr_customer_sk, sr_ticket_number, sr_net_loss], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │     t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-3.parquet:<int>..<int>]]}, projection=[sr_returned_date_sk, sr_item_sk, sr_customer_sk, sr_ticket_number, sr_net_loss], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                └──────────────────────────────────────────────────
                ┌───── Stage 8 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
                │ RepartitionExec: partitioning=Hash([ss_customer_sk@2, ss_item_sk@1, ss_ticket_number@4], 12), input_partitions=3
                │   DistributedLeafExec:
                │     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_customer_sk, ss_store_sk, ss_ticket_number, ss_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │     t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_customer_sk, ss_store_sk, ss_ticket_number, ss_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │     t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_customer_sk, ss_store_sk, ss_ticket_number, ss_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │     t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_customer_sk, ss_store_sk, ss_ticket_number, ss_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_26() -> Result<()> {
        let display = test_tpcds_query("q26").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [i_item_id@0 ASC NULLS LAST], fetch=100
        │   [Stage 7] => NetworkCoalesceExec: output_partitions=6, input_tasks=2
        └──────────────────────────────────────────────────
          ┌───── Stage 7 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ SortExec: TopK(fetch=100), expr=[i_item_id@0 ASC NULLS LAST], preserve_partitioning=[true]
          │   ProjectionExec: expr=[i_item_id@0 as i_item_id, avg(catalog_sales.cs_quantity)@1 as agg1, avg(catalog_sales.cs_list_price)@2 as agg2, avg(catalog_sales.cs_coupon_amt)@3 as agg3, avg(catalog_sales.cs_sales_price)@4 as agg4]
          │     AggregateExec: mode=FinalPartitioned, gby=[i_item_id@0 as i_item_id], aggr=[avg(catalog_sales.cs_quantity), avg(catalog_sales.cs_list_price), avg(catalog_sales.cs_coupon_amt), avg(catalog_sales.cs_sales_price)]
          │       [Stage 6] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 6 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([i_item_id@0], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[i_item_id@4 as i_item_id], aggr=[avg(catalog_sales.cs_quantity), avg(catalog_sales.cs_list_price), avg(catalog_sales.cs_coupon_amt), avg(catalog_sales.cs_sales_price)]
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(p_promo_sk@0, cs_promo_sk@0)], projection=[cs_quantity@2, cs_list_price@3, cs_sales_price@4, cs_coupon_amt@5, i_item_id@6]
            │       CoalescePartitionsExec
            │         [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, cs_item_sk@0)], projection=[cs_promo_sk@3, cs_quantity@4, cs_list_price@5, cs_sales_price@6, cs_coupon_amt@7, i_item_id@1]
            │         CoalescePartitionsExec
            │           [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, cs_sold_date_sk@0)], projection=[cs_item_sk@2, cs_promo_sk@3, cs_quantity@4, cs_list_price@5, cs_sales_price@6, cs_coupon_amt@7]
            │           CoalescePartitionsExec
            │             [Stage 3] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │           HashJoinExec: mode=Partitioned, join_type=Inner, on=[(cd_demo_sk@0, cs_bill_cdemo_sk@1)], projection=[cs_sold_date_sk@1, cs_item_sk@3, cs_promo_sk@4, cs_quantity@5, cs_list_price@6, cs_sales_price@7, cs_coupon_amt@8]
            │             [Stage 4] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            │             [Stage 5] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            └──────────────────────────────────────────────────
              ┌───── Stage 1 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: p_channel_email@1 = N OR p_channel_event@2 = N, projection=[p_promo_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/promotion/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/promotion/part-0.parquet:<int>..<int>]]}, projection=[p_promo_sk, p_channel_email, p_channel_event], file_type=parquet, predicate=p_channel_email@9 = N OR p_channel_event@14 = N, pruning_predicate=p_channel_email_null_count@2 != row_count@3 AND p_channel_email_min@0 <= N AND N <= p_channel_email_max@1 OR p_channel_event_null_count@6 != row_count@3 AND p_channel_event_min@4 <= N AND N <= p_channel_event_max@5, required_guarantees=[]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/promotion/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/promotion/part-0.parquet:<int>..<int>]]}, projection=[p_promo_sk, p_channel_email, p_channel_event], file_type=parquet, predicate=p_channel_email@9 = N OR p_channel_event@14 = N, pruning_predicate=p_channel_email_null_count@2 != row_count@3 AND p_channel_email_min@0 <= N AND N <= p_channel_email_max@1 OR p_channel_event_null_count@6 != row_count@3 AND p_channel_event_min@4 <= N AND N <= p_channel_event_max@5, required_guarantees=[]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/promotion/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/promotion/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/promotion/part-1.parquet:<int>..<int>]]}, projection=[p_promo_sk, p_channel_email, p_channel_event], file_type=parquet, predicate=p_channel_email@9 = N OR p_channel_event@14 = N, pruning_predicate=p_channel_email_null_count@2 != row_count@3 AND p_channel_email_min@0 <= N AND N <= p_channel_email_max@1 OR p_channel_event_null_count@6 != row_count@3 AND p_channel_event_min@4 <= N AND N <= p_channel_event_max@5, required_guarantees=[]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/promotion/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/promotion/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/promotion/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/promotion/part-3.parquet:<int>..<int>]]}, projection=[p_promo_sk, p_channel_email, p_channel_event], file_type=parquet, predicate=p_channel_email@9 = N OR p_channel_event@14 = N, pruning_predicate=p_channel_email_null_count@2 != row_count@3 AND p_channel_email_min@0 <= N AND N <= p_channel_email_max@1 OR p_channel_event_null_count@6 != row_count@3 AND p_channel_event_min@4 <= N AND N <= p_channel_event_max@5, required_guarantees=[]
              └──────────────────────────────────────────────────
              ┌───── Stage 2 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet, predicate=DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
              ┌───── Stage 3 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_year@1 = 2000, projection=[d_date_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2000, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1, required_guarantees=[d_year in (2000)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2000, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1, required_guarantees=[d_year in (2000)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2000, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1, required_guarantees=[d_year in (2000)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2000, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1, required_guarantees=[d_year in (2000)]
              └──────────────────────────────────────────────────
              ┌───── Stage 4 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
              │ RepartitionExec: partitioning=Hash([cd_demo_sk@0], 12), input_partitions=3
              │   FilterExec: cd_gender@1 = M AND cd_marital_status@2 = S AND cd_education_status@3 = College, projection=[cd_demo_sk@0]
              │     DistributedLeafExec:
              │       t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_gender, cd_marital_status, cd_education_status], file_type=parquet, predicate=cd_gender@1 = M AND cd_marital_status@2 = S AND cd_education_status@3 = College, pruning_predicate=cd_gender_null_count@2 != row_count@3 AND cd_gender_min@0 <= M AND M <= cd_gender_max@1 AND cd_marital_status_null_count@6 != row_count@3 AND cd_marital_status_min@4 <= S AND S <= cd_marital_status_max@5 AND cd_education_status_null_count@9 != row_count@3 AND cd_education_status_min@7 <= College AND College <= cd_education_status_max@8, required_guarantees=[cd_education_status in (College), cd_gender in (M), cd_marital_status in (S)]
              │       t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-3.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_gender, cd_marital_status, cd_education_status], file_type=parquet, predicate=cd_gender@1 = M AND cd_marital_status@2 = S AND cd_education_status@3 = College, pruning_predicate=cd_gender_null_count@2 != row_count@3 AND cd_gender_min@0 <= M AND M <= cd_gender_max@1 AND cd_marital_status_null_count@6 != row_count@3 AND cd_marital_status_min@4 <= S AND S <= cd_marital_status_max@5 AND cd_education_status_null_count@9 != row_count@3 AND cd_education_status_min@7 <= College AND College <= cd_education_status_max@8, required_guarantees=[cd_education_status in (College), cd_gender in (M), cd_marital_status in (S)]
              │       t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-3.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_gender, cd_marital_status, cd_education_status], file_type=parquet, predicate=cd_gender@1 = M AND cd_marital_status@2 = S AND cd_education_status@3 = College, pruning_predicate=cd_gender_null_count@2 != row_count@3 AND cd_gender_min@0 <= M AND M <= cd_gender_max@1 AND cd_marital_status_null_count@6 != row_count@3 AND cd_marital_status_min@4 <= S AND S <= cd_marital_status_max@5 AND cd_education_status_null_count@9 != row_count@3 AND cd_education_status_min@7 <= College AND College <= cd_education_status_max@8, required_guarantees=[cd_education_status in (College), cd_gender in (M), cd_marital_status in (S)]
              │       t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-3.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_gender, cd_marital_status, cd_education_status], file_type=parquet, predicate=cd_gender@1 = M AND cd_marital_status@2 = S AND cd_education_status@3 = College, pruning_predicate=cd_gender_null_count@2 != row_count@3 AND cd_gender_min@0 <= M AND M <= cd_gender_max@1 AND cd_marital_status_null_count@6 != row_count@3 AND cd_marital_status_min@4 <= S AND S <= cd_marital_status_max@5 AND cd_education_status_null_count@9 != row_count@3 AND cd_education_status_min@7 <= College AND College <= cd_education_status_max@8, required_guarantees=[cd_education_status in (College), cd_gender in (M), cd_marital_status in (S)]
              └──────────────────────────────────────────────────
              ┌───── Stage 5 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
              │ RepartitionExec: partitioning=Hash([cs_bill_cdemo_sk@1], 12), input_partitions=3
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_bill_cdemo_sk, cs_item_sk, cs_promo_sk, cs_quantity, cs_list_price, cs_sales_price, cs_coupon_amt], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │     t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_bill_cdemo_sk, cs_item_sk, cs_promo_sk, cs_quantity, cs_list_price, cs_sales_price, cs_coupon_amt], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │     t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_bill_cdemo_sk, cs_item_sk, cs_promo_sk, cs_quantity, cs_list_price, cs_sales_price, cs_coupon_amt], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │     t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_bill_cdemo_sk, cs_item_sk, cs_promo_sk, cs_quantity, cs_list_price, cs_sales_price, cs_coupon_amt], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_27() -> Result<()> {
        let display = test_tpcds_query("q27").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [i_item_id@0 ASC, s_state@1 ASC], fetch=100
        │   [Stage 19] => NetworkCoalesceExec: output_partitions=12, input_tasks=4
        └──────────────────────────────────────────────────
          ┌───── Stage 19 ── Tasks: t0:[p0..p2] t1:[p3..p5] t2:[p6..p8] t3:[p9..p11]
          │ SortExec: TopK(fetch=100), expr=[i_item_id@0 ASC], preserve_partitioning=[true]
          │   DistributedUnionExec: t0:[c0(0/2)] t1:[c0(1/2)] t2:[c1] t3:[c2]
          │     ProjectionExec: expr=[i_item_id@0 as i_item_id, CAST(s_state@1 AS Utf8) as s_state, 0 as g_state, avg(results.agg1)@2 as agg1, avg(results.agg2)@3 as agg2, avg(results.agg3)@4 as agg3, avg(results.agg4)@5 as agg4]
          │       AggregateExec: mode=FinalPartitioned, gby=[i_item_id@0 as i_item_id, s_state@1 as s_state], aggr=[avg(results.agg1), avg(results.agg2), avg(results.agg3), avg(results.agg4)], ordering_mode=PartiallySorted([1])
          │         [Stage 6] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          │     ProjectionExec: expr=[i_item_id@0 as i_item_id, NULL as s_state, 1 as g_state, avg(results.agg1)@1 as agg1, avg(results.agg2)@2 as agg2, avg(results.agg3)@3 as agg3, avg(results.agg4)@4 as agg4]
          │       AggregateExec: mode=FinalPartitioned, gby=[i_item_id@0 as i_item_id], aggr=[avg(results.agg1), avg(results.agg2), avg(results.agg3), avg(results.agg4)]
          │         [Stage 12] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          │     ProjectionExec: expr=[NULL as i_item_id, NULL as s_state, 1 as g_state, avg(results.agg1)@0 as agg1, avg(results.agg2)@1 as agg2, avg(results.agg3)@2 as agg3, avg(results.agg4)@3 as agg4]
          │       AggregateExec: mode=Final, gby=[], aggr=[avg(results.agg1), avg(results.agg2), avg(results.agg3), avg(results.agg4)]
          │         CoalescePartitionsExec
          │           [Stage 18] => NetworkCoalesceExec: output_partitions=12, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 6 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([i_item_id@0, s_state@1], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[i_item_id@0 as i_item_id, s_state@1 as s_state], aggr=[avg(results.agg1), avg(results.agg2), avg(results.agg3), avg(results.agg4)], ordering_mode=PartiallySorted([1])
            │     ProjectionExec: expr=[i_item_id@0 as i_item_id, s_state@1 as s_state, ss_quantity@2 as agg1, ss_list_price@3 as agg2, ss_coupon_amt@4 as agg3, ss_sales_price@5 as agg4]
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, ss_item_sk@0)], projection=[i_item_id@1, s_state@7, ss_quantity@3, ss_list_price@4, ss_coupon_amt@6, ss_sales_price@5]
            │         CoalescePartitionsExec
            │           [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(s_store_sk@0, ss_store_sk@1)], projection=[ss_item_sk@2, ss_quantity@4, ss_list_price@5, ss_sales_price@6, ss_coupon_amt@7, s_state@1]
            │           CoalescePartitionsExec
            │             [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │           HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[ss_item_sk@2, ss_store_sk@3, ss_quantity@4, ss_list_price@5, ss_sales_price@6, ss_coupon_amt@7]
            │             CoalescePartitionsExec
            │               [Stage 3] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │             HashJoinExec: mode=Partitioned, join_type=Inner, on=[(cd_demo_sk@0, ss_cdemo_sk@2)], projection=[ss_sold_date_sk@1, ss_item_sk@2, ss_store_sk@4, ss_quantity@5, ss_list_price@6, ss_sales_price@7, ss_coupon_amt@8]
            │               [Stage 4] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            │               [Stage 5] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            └──────────────────────────────────────────────────
              ┌───── Stage 1 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet, predicate=DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
              ┌───── Stage 2 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: s_state@1 = TN
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>]]}, projection=[s_store_sk, s_state], file_type=parquet, predicate=s_state@24 = TN, pruning_predicate=s_state_null_count@2 != row_count@3 AND s_state_min@0 <= TN AND TN <= s_state_max@1, required_guarantees=[s_state in (TN)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>]]}, projection=[s_store_sk, s_state], file_type=parquet, predicate=s_state@24 = TN, pruning_predicate=s_state_null_count@2 != row_count@3 AND s_state_min@0 <= TN AND TN <= s_state_max@1, required_guarantees=[s_state in (TN)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_state], file_type=parquet, predicate=s_state@24 = TN, pruning_predicate=s_state_null_count@2 != row_count@3 AND s_state_min@0 <= TN AND TN <= s_state_max@1, required_guarantees=[s_state in (TN)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_state], file_type=parquet, predicate=s_state@24 = TN, pruning_predicate=s_state_null_count@2 != row_count@3 AND s_state_min@0 <= TN AND TN <= s_state_max@1, required_guarantees=[s_state in (TN)]
              └──────────────────────────────────────────────────
              ┌───── Stage 3 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_year@1 = 2002, projection=[d_date_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2002, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1, required_guarantees=[d_year in (2002)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2002, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1, required_guarantees=[d_year in (2002)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2002, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1, required_guarantees=[d_year in (2002)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2002, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1, required_guarantees=[d_year in (2002)]
              └──────────────────────────────────────────────────
              ┌───── Stage 4 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
              │ RepartitionExec: partitioning=Hash([cd_demo_sk@0], 12), input_partitions=3
              │   FilterExec: cd_gender@1 = M AND cd_marital_status@2 = S AND cd_education_status@3 = College, projection=[cd_demo_sk@0]
              │     DistributedLeafExec:
              │       t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_gender, cd_marital_status, cd_education_status], file_type=parquet, predicate=cd_gender@1 = M AND cd_marital_status@2 = S AND cd_education_status@3 = College, pruning_predicate=cd_gender_null_count@2 != row_count@3 AND cd_gender_min@0 <= M AND M <= cd_gender_max@1 AND cd_marital_status_null_count@6 != row_count@3 AND cd_marital_status_min@4 <= S AND S <= cd_marital_status_max@5 AND cd_education_status_null_count@9 != row_count@3 AND cd_education_status_min@7 <= College AND College <= cd_education_status_max@8, required_guarantees=[cd_education_status in (College), cd_gender in (M), cd_marital_status in (S)]
              │       t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-3.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_gender, cd_marital_status, cd_education_status], file_type=parquet, predicate=cd_gender@1 = M AND cd_marital_status@2 = S AND cd_education_status@3 = College, pruning_predicate=cd_gender_null_count@2 != row_count@3 AND cd_gender_min@0 <= M AND M <= cd_gender_max@1 AND cd_marital_status_null_count@6 != row_count@3 AND cd_marital_status_min@4 <= S AND S <= cd_marital_status_max@5 AND cd_education_status_null_count@9 != row_count@3 AND cd_education_status_min@7 <= College AND College <= cd_education_status_max@8, required_guarantees=[cd_education_status in (College), cd_gender in (M), cd_marital_status in (S)]
              │       t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-3.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_gender, cd_marital_status, cd_education_status], file_type=parquet, predicate=cd_gender@1 = M AND cd_marital_status@2 = S AND cd_education_status@3 = College, pruning_predicate=cd_gender_null_count@2 != row_count@3 AND cd_gender_min@0 <= M AND M <= cd_gender_max@1 AND cd_marital_status_null_count@6 != row_count@3 AND cd_marital_status_min@4 <= S AND S <= cd_marital_status_max@5 AND cd_education_status_null_count@9 != row_count@3 AND cd_education_status_min@7 <= College AND College <= cd_education_status_max@8, required_guarantees=[cd_education_status in (College), cd_gender in (M), cd_marital_status in (S)]
              │       t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-3.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_gender, cd_marital_status, cd_education_status], file_type=parquet, predicate=cd_gender@1 = M AND cd_marital_status@2 = S AND cd_education_status@3 = College, pruning_predicate=cd_gender_null_count@2 != row_count@3 AND cd_gender_min@0 <= M AND M <= cd_gender_max@1 AND cd_marital_status_null_count@6 != row_count@3 AND cd_marital_status_min@4 <= S AND S <= cd_marital_status_max@5 AND cd_education_status_null_count@9 != row_count@3 AND cd_education_status_min@7 <= College AND College <= cd_education_status_max@8, required_guarantees=[cd_education_status in (College), cd_gender in (M), cd_marital_status in (S)]
              └──────────────────────────────────────────────────
              ┌───── Stage 5 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
              │ RepartitionExec: partitioning=Hash([ss_cdemo_sk@2], 12), input_partitions=3
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_cdemo_sk, ss_store_sk, ss_quantity, ss_list_price, ss_sales_price, ss_coupon_amt], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │     t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_cdemo_sk, ss_store_sk, ss_quantity, ss_list_price, ss_sales_price, ss_coupon_amt], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │     t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_cdemo_sk, ss_store_sk, ss_quantity, ss_list_price, ss_sales_price, ss_coupon_amt], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │     t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_cdemo_sk, ss_store_sk, ss_quantity, ss_list_price, ss_sales_price, ss_coupon_amt], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
            ┌───── Stage 12 ── Tasks: t0:[p0..p2] t1:[p0..p2] t2:[p0..p2] t3:[p0..p2]
            │ RepartitionExec: partitioning=Hash([i_item_id@0], 3), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[i_item_id@0 as i_item_id], aggr=[avg(results.agg1), avg(results.agg2), avg(results.agg3), avg(results.agg4)]
            │     ProjectionExec: expr=[i_item_id@0 as i_item_id, ss_quantity@1 as agg1, ss_list_price@2 as agg2, ss_coupon_amt@3 as agg3, ss_sales_price@4 as agg4]
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, ss_item_sk@0)], projection=[i_item_id@1, ss_quantity@3, ss_list_price@4, ss_coupon_amt@6, ss_sales_price@5]
            │         CoalescePartitionsExec
            │           [Stage 7] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(s_store_sk@0, ss_store_sk@1)], projection=[ss_item_sk@1, ss_quantity@3, ss_list_price@4, ss_sales_price@5, ss_coupon_amt@6]
            │           CoalescePartitionsExec
            │             [Stage 8] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │           HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[ss_item_sk@2, ss_store_sk@3, ss_quantity@4, ss_list_price@5, ss_sales_price@6, ss_coupon_amt@7]
            │             CoalescePartitionsExec
            │               [Stage 9] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │             HashJoinExec: mode=Partitioned, join_type=Inner, on=[(cd_demo_sk@0, ss_cdemo_sk@2)], projection=[ss_sold_date_sk@1, ss_item_sk@2, ss_store_sk@4, ss_quantity@5, ss_list_price@6, ss_sales_price@7, ss_coupon_amt@8]
            │               [Stage 10] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            │               [Stage 11] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            └──────────────────────────────────────────────────
              ┌───── Stage 7 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet, predicate=DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
              ┌───── Stage 8 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: s_state@1 = TN, projection=[s_store_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>]]}, projection=[s_store_sk, s_state], file_type=parquet, predicate=s_state@24 = TN, pruning_predicate=s_state_null_count@2 != row_count@3 AND s_state_min@0 <= TN AND TN <= s_state_max@1, required_guarantees=[s_state in (TN)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>]]}, projection=[s_store_sk, s_state], file_type=parquet, predicate=s_state@24 = TN, pruning_predicate=s_state_null_count@2 != row_count@3 AND s_state_min@0 <= TN AND TN <= s_state_max@1, required_guarantees=[s_state in (TN)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_state], file_type=parquet, predicate=s_state@24 = TN, pruning_predicate=s_state_null_count@2 != row_count@3 AND s_state_min@0 <= TN AND TN <= s_state_max@1, required_guarantees=[s_state in (TN)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_state], file_type=parquet, predicate=s_state@24 = TN, pruning_predicate=s_state_null_count@2 != row_count@3 AND s_state_min@0 <= TN AND TN <= s_state_max@1, required_guarantees=[s_state in (TN)]
              └──────────────────────────────────────────────────
              ┌───── Stage 9 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_year@1 = 2002, projection=[d_date_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2002, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1, required_guarantees=[d_year in (2002)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2002, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1, required_guarantees=[d_year in (2002)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2002, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1, required_guarantees=[d_year in (2002)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2002, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1, required_guarantees=[d_year in (2002)]
              └──────────────────────────────────────────────────
              ┌───── Stage 10 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
              │ RepartitionExec: partitioning=Hash([cd_demo_sk@0], 12), input_partitions=3
              │   FilterExec: cd_gender@1 = M AND cd_marital_status@2 = S AND cd_education_status@3 = College, projection=[cd_demo_sk@0]
              │     DistributedLeafExec:
              │       t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_gender, cd_marital_status, cd_education_status], file_type=parquet, predicate=cd_gender@1 = M AND cd_marital_status@2 = S AND cd_education_status@3 = College, pruning_predicate=cd_gender_null_count@2 != row_count@3 AND cd_gender_min@0 <= M AND M <= cd_gender_max@1 AND cd_marital_status_null_count@6 != row_count@3 AND cd_marital_status_min@4 <= S AND S <= cd_marital_status_max@5 AND cd_education_status_null_count@9 != row_count@3 AND cd_education_status_min@7 <= College AND College <= cd_education_status_max@8, required_guarantees=[cd_education_status in (College), cd_gender in (M), cd_marital_status in (S)]
              │       t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-3.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_gender, cd_marital_status, cd_education_status], file_type=parquet, predicate=cd_gender@1 = M AND cd_marital_status@2 = S AND cd_education_status@3 = College, pruning_predicate=cd_gender_null_count@2 != row_count@3 AND cd_gender_min@0 <= M AND M <= cd_gender_max@1 AND cd_marital_status_null_count@6 != row_count@3 AND cd_marital_status_min@4 <= S AND S <= cd_marital_status_max@5 AND cd_education_status_null_count@9 != row_count@3 AND cd_education_status_min@7 <= College AND College <= cd_education_status_max@8, required_guarantees=[cd_education_status in (College), cd_gender in (M), cd_marital_status in (S)]
              │       t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-3.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_gender, cd_marital_status, cd_education_status], file_type=parquet, predicate=cd_gender@1 = M AND cd_marital_status@2 = S AND cd_education_status@3 = College, pruning_predicate=cd_gender_null_count@2 != row_count@3 AND cd_gender_min@0 <= M AND M <= cd_gender_max@1 AND cd_marital_status_null_count@6 != row_count@3 AND cd_marital_status_min@4 <= S AND S <= cd_marital_status_max@5 AND cd_education_status_null_count@9 != row_count@3 AND cd_education_status_min@7 <= College AND College <= cd_education_status_max@8, required_guarantees=[cd_education_status in (College), cd_gender in (M), cd_marital_status in (S)]
              │       t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-3.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_gender, cd_marital_status, cd_education_status], file_type=parquet, predicate=cd_gender@1 = M AND cd_marital_status@2 = S AND cd_education_status@3 = College, pruning_predicate=cd_gender_null_count@2 != row_count@3 AND cd_gender_min@0 <= M AND M <= cd_gender_max@1 AND cd_marital_status_null_count@6 != row_count@3 AND cd_marital_status_min@4 <= S AND S <= cd_marital_status_max@5 AND cd_education_status_null_count@9 != row_count@3 AND cd_education_status_min@7 <= College AND College <= cd_education_status_max@8, required_guarantees=[cd_education_status in (College), cd_gender in (M), cd_marital_status in (S)]
              └──────────────────────────────────────────────────
              ┌───── Stage 11 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
              │ RepartitionExec: partitioning=Hash([ss_cdemo_sk@2], 12), input_partitions=3
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_cdemo_sk, ss_store_sk, ss_quantity, ss_list_price, ss_sales_price, ss_coupon_amt], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │     t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_cdemo_sk, ss_store_sk, ss_quantity, ss_list_price, ss_sales_price, ss_coupon_amt], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │     t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_cdemo_sk, ss_store_sk, ss_quantity, ss_list_price, ss_sales_price, ss_coupon_amt], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │     t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_cdemo_sk, ss_store_sk, ss_quantity, ss_list_price, ss_sales_price, ss_coupon_amt], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
            ┌───── Stage 18 ── Tasks: t0:[p0..p2] t1:[p0..p2] t2:[p0..p2] t3:[p0..p2]
            │ AggregateExec: mode=Partial, gby=[], aggr=[avg(results.agg1), avg(results.agg2), avg(results.agg3), avg(results.agg4)]
            │   ProjectionExec: expr=[ss_quantity@0 as agg1, ss_list_price@1 as agg2, ss_coupon_amt@2 as agg3, ss_sales_price@3 as agg4]
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, ss_item_sk@0)], projection=[ss_quantity@2, ss_list_price@3, ss_coupon_amt@5, ss_sales_price@4]
            │       CoalescePartitionsExec
            │         [Stage 13] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(s_store_sk@0, ss_store_sk@1)], projection=[ss_item_sk@1, ss_quantity@3, ss_list_price@4, ss_sales_price@5, ss_coupon_amt@6]
            │         CoalescePartitionsExec
            │           [Stage 14] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[ss_item_sk@2, ss_store_sk@3, ss_quantity@4, ss_list_price@5, ss_sales_price@6, ss_coupon_amt@7]
            │           CoalescePartitionsExec
            │             [Stage 15] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │           HashJoinExec: mode=Partitioned, join_type=Inner, on=[(cd_demo_sk@0, ss_cdemo_sk@2)], projection=[ss_sold_date_sk@1, ss_item_sk@2, ss_store_sk@4, ss_quantity@5, ss_list_price@6, ss_sales_price@7, ss_coupon_amt@8]
            │             [Stage 16] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            │             [Stage 17] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            └──────────────────────────────────────────────────
              ┌───── Stage 13 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
              ┌───── Stage 14 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: s_state@1 = TN, projection=[s_store_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>]]}, projection=[s_store_sk, s_state], file_type=parquet, predicate=s_state@24 = TN AND DynamicFilter [ empty ], pruning_predicate=s_state_null_count@2 != row_count@3 AND s_state_min@0 <= TN AND TN <= s_state_max@1, required_guarantees=[s_state in (TN)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>]]}, projection=[s_store_sk, s_state], file_type=parquet, predicate=s_state@24 = TN AND DynamicFilter [ empty ], pruning_predicate=s_state_null_count@2 != row_count@3 AND s_state_min@0 <= TN AND TN <= s_state_max@1, required_guarantees=[s_state in (TN)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_state], file_type=parquet, predicate=s_state@24 = TN AND DynamicFilter [ empty ], pruning_predicate=s_state_null_count@2 != row_count@3 AND s_state_min@0 <= TN AND TN <= s_state_max@1, required_guarantees=[s_state in (TN)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_state], file_type=parquet, predicate=s_state@24 = TN AND DynamicFilter [ empty ], pruning_predicate=s_state_null_count@2 != row_count@3 AND s_state_min@0 <= TN AND TN <= s_state_max@1, required_guarantees=[s_state in (TN)]
              └──────────────────────────────────────────────────
              ┌───── Stage 15 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_year@1 = 2002, projection=[d_date_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2002 AND DynamicFilter [ empty ], pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1, required_guarantees=[d_year in (2002)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2002 AND DynamicFilter [ empty ], pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1, required_guarantees=[d_year in (2002)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2002 AND DynamicFilter [ empty ], pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1, required_guarantees=[d_year in (2002)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2002 AND DynamicFilter [ empty ], pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1, required_guarantees=[d_year in (2002)]
              └──────────────────────────────────────────────────
              ┌───── Stage 16 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
              │ RepartitionExec: partitioning=Hash([cd_demo_sk@0], 12), input_partitions=3
              │   FilterExec: cd_gender@1 = M AND cd_marital_status@2 = S AND cd_education_status@3 = College, projection=[cd_demo_sk@0]
              │     DistributedLeafExec:
              │       t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_gender, cd_marital_status, cd_education_status], file_type=parquet, predicate=cd_gender@1 = M AND cd_marital_status@2 = S AND cd_education_status@3 = College AND DynamicFilter [ empty ], pruning_predicate=cd_gender_null_count@2 != row_count@3 AND cd_gender_min@0 <= M AND M <= cd_gender_max@1 AND cd_marital_status_null_count@6 != row_count@3 AND cd_marital_status_min@4 <= S AND S <= cd_marital_status_max@5 AND cd_education_status_null_count@9 != row_count@3 AND cd_education_status_min@7 <= College AND College <= cd_education_status_max@8, required_guarantees=[cd_education_status in (College), cd_gender in (M), cd_marital_status in (S)]
              │       t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-3.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_gender, cd_marital_status, cd_education_status], file_type=parquet, predicate=cd_gender@1 = M AND cd_marital_status@2 = S AND cd_education_status@3 = College AND DynamicFilter [ empty ], pruning_predicate=cd_gender_null_count@2 != row_count@3 AND cd_gender_min@0 <= M AND M <= cd_gender_max@1 AND cd_marital_status_null_count@6 != row_count@3 AND cd_marital_status_min@4 <= S AND S <= cd_marital_status_max@5 AND cd_education_status_null_count@9 != row_count@3 AND cd_education_status_min@7 <= College AND College <= cd_education_status_max@8, required_guarantees=[cd_education_status in (College), cd_gender in (M), cd_marital_status in (S)]
              │       t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-3.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_gender, cd_marital_status, cd_education_status], file_type=parquet, predicate=cd_gender@1 = M AND cd_marital_status@2 = S AND cd_education_status@3 = College AND DynamicFilter [ empty ], pruning_predicate=cd_gender_null_count@2 != row_count@3 AND cd_gender_min@0 <= M AND M <= cd_gender_max@1 AND cd_marital_status_null_count@6 != row_count@3 AND cd_marital_status_min@4 <= S AND S <= cd_marital_status_max@5 AND cd_education_status_null_count@9 != row_count@3 AND cd_education_status_min@7 <= College AND College <= cd_education_status_max@8, required_guarantees=[cd_education_status in (College), cd_gender in (M), cd_marital_status in (S)]
              │       t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-3.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_gender, cd_marital_status, cd_education_status], file_type=parquet, predicate=cd_gender@1 = M AND cd_marital_status@2 = S AND cd_education_status@3 = College AND DynamicFilter [ empty ], pruning_predicate=cd_gender_null_count@2 != row_count@3 AND cd_gender_min@0 <= M AND M <= cd_gender_max@1 AND cd_marital_status_null_count@6 != row_count@3 AND cd_marital_status_min@4 <= S AND S <= cd_marital_status_max@5 AND cd_education_status_null_count@9 != row_count@3 AND cd_education_status_min@7 <= College AND College <= cd_education_status_max@8, required_guarantees=[cd_education_status in (College), cd_gender in (M), cd_marital_status in (S)]
              └──────────────────────────────────────────────────
              ┌───── Stage 17 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
              │ RepartitionExec: partitioning=Hash([ss_cdemo_sk@2], 12), input_partitions=3
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_cdemo_sk, ss_store_sk, ss_quantity, ss_list_price, ss_sales_price, ss_coupon_amt], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │     t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_cdemo_sk, ss_store_sk, ss_quantity, ss_list_price, ss_sales_price, ss_coupon_amt], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │     t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_cdemo_sk, ss_store_sk, ss_quantity, ss_list_price, ss_sales_price, ss_coupon_amt], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │     t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_cdemo_sk, ss_store_sk, ss_quantity, ss_list_price, ss_sales_price, ss_coupon_amt], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_28() -> Result<()> {
        let display = test_tpcds_query("q28").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ ProjectionExec: expr=[b1_lp@3 as b1_lp, b1_cnt@4 as b1_cnt, b1_cntd@5 as b1_cntd, b2_lp@6 as b2_lp, b2_cnt@7 as b2_cnt, b2_cntd@8 as b2_cntd, b3_lp@9 as b3_lp, b3_cnt@10 as b3_cnt, b3_cntd@11 as b3_cntd, b4_lp@12 as b4_lp, b4_cnt@13 as b4_cnt, b4_cntd@14 as b4_cntd, b5_lp@15 as b5_lp, b5_cnt@16 as b5_cnt, b5_cntd@17 as b5_cntd, b6_lp@0 as b6_lp, b6_cnt@1 as b6_cnt, b6_cntd@2 as b6_cntd]
        │   GlobalLimitExec: skip=0, fetch=100
        │     CrossJoinExec
        │       CoalescePartitionsExec
        │         BroadcastExec: input_partitions=1, consumer_tasks=1, output_partitions=1
        │           ProjectionExec: expr=[avg(store_sales.ss_list_price)@0 as b6_lp, count(store_sales.ss_list_price)@1 as b6_cnt, count(DISTINCT store_sales.ss_list_price)@2 as b6_cntd]
        │             GlobalLimitExec: skip=0, fetch=100
        │               AggregateExec: mode=Final, gby=[], aggr=[avg(store_sales.ss_list_price), count(store_sales.ss_list_price), count(DISTINCT store_sales.ss_list_price)]
        │                 CoalescePartitionsExec
        │                   [Stage 1] => NetworkCoalesceExec: output_partitions=12, input_tasks=4
        │       ProjectionExec: expr=[b1_lp@3 as b1_lp, b1_cnt@4 as b1_cnt, b1_cntd@5 as b1_cntd, b2_lp@6 as b2_lp, b2_cnt@7 as b2_cnt, b2_cntd@8 as b2_cntd, b3_lp@9 as b3_lp, b3_cnt@10 as b3_cnt, b3_cntd@11 as b3_cntd, b4_lp@12 as b4_lp, b4_cnt@13 as b4_cnt, b4_cntd@14 as b4_cntd, b5_lp@0 as b5_lp, b5_cnt@1 as b5_cnt, b5_cntd@2 as b5_cntd]
        │         GlobalLimitExec: skip=0, fetch=100
        │           CrossJoinExec
        │             CoalescePartitionsExec
        │               BroadcastExec: input_partitions=1, consumer_tasks=1, output_partitions=1
        │                 ProjectionExec: expr=[avg(store_sales.ss_list_price)@0 as b5_lp, count(store_sales.ss_list_price)@1 as b5_cnt, count(DISTINCT store_sales.ss_list_price)@2 as b5_cntd]
        │                   GlobalLimitExec: skip=0, fetch=100
        │                     AggregateExec: mode=Final, gby=[], aggr=[avg(store_sales.ss_list_price), count(store_sales.ss_list_price), count(DISTINCT store_sales.ss_list_price)]
        │                       CoalescePartitionsExec
        │                         [Stage 2] => NetworkCoalesceExec: output_partitions=12, input_tasks=4
        │             ProjectionExec: expr=[b1_lp@3 as b1_lp, b1_cnt@4 as b1_cnt, b1_cntd@5 as b1_cntd, b2_lp@6 as b2_lp, b2_cnt@7 as b2_cnt, b2_cntd@8 as b2_cntd, b3_lp@9 as b3_lp, b3_cnt@10 as b3_cnt, b3_cntd@11 as b3_cntd, b4_lp@0 as b4_lp, b4_cnt@1 as b4_cnt, b4_cntd@2 as b4_cntd]
        │               GlobalLimitExec: skip=0, fetch=100
        │                 CrossJoinExec
        │                   CoalescePartitionsExec
        │                     BroadcastExec: input_partitions=1, consumer_tasks=1, output_partitions=1
        │                       ProjectionExec: expr=[avg(store_sales.ss_list_price)@0 as b4_lp, count(store_sales.ss_list_price)@1 as b4_cnt, count(DISTINCT store_sales.ss_list_price)@2 as b4_cntd]
        │                         GlobalLimitExec: skip=0, fetch=100
        │                           AggregateExec: mode=Final, gby=[], aggr=[avg(store_sales.ss_list_price), count(store_sales.ss_list_price), count(DISTINCT store_sales.ss_list_price)]
        │                             CoalescePartitionsExec
        │                               [Stage 3] => NetworkCoalesceExec: output_partitions=12, input_tasks=4
        │                   ProjectionExec: expr=[b1_lp@3 as b1_lp, b1_cnt@4 as b1_cnt, b1_cntd@5 as b1_cntd, b2_lp@6 as b2_lp, b2_cnt@7 as b2_cnt, b2_cntd@8 as b2_cntd, b3_lp@0 as b3_lp, b3_cnt@1 as b3_cnt, b3_cntd@2 as b3_cntd]
        │                     GlobalLimitExec: skip=0, fetch=100
        │                       CrossJoinExec
        │                         CoalescePartitionsExec
        │                           BroadcastExec: input_partitions=1, consumer_tasks=1, output_partitions=1
        │                             ProjectionExec: expr=[avg(store_sales.ss_list_price)@0 as b3_lp, count(store_sales.ss_list_price)@1 as b3_cnt, count(DISTINCT store_sales.ss_list_price)@2 as b3_cntd]
        │                               GlobalLimitExec: skip=0, fetch=100
        │                                 AggregateExec: mode=Final, gby=[], aggr=[avg(store_sales.ss_list_price), count(store_sales.ss_list_price), count(DISTINCT store_sales.ss_list_price)]
        │                                   CoalescePartitionsExec
        │                                     [Stage 4] => NetworkCoalesceExec: output_partitions=12, input_tasks=4
        │                         GlobalLimitExec: skip=0, fetch=100
        │                           CrossJoinExec
        │                             CoalescePartitionsExec
        │                               BroadcastExec: input_partitions=1, consumer_tasks=1, output_partitions=1
        │                                 ProjectionExec: expr=[avg(store_sales.ss_list_price)@0 as b1_lp, count(store_sales.ss_list_price)@1 as b1_cnt, count(DISTINCT store_sales.ss_list_price)@2 as b1_cntd]
        │                                   GlobalLimitExec: skip=0, fetch=100
        │                                     AggregateExec: mode=Final, gby=[], aggr=[avg(store_sales.ss_list_price), count(store_sales.ss_list_price), count(DISTINCT store_sales.ss_list_price)]
        │                                       CoalescePartitionsExec
        │                                         [Stage 5] => NetworkCoalesceExec: output_partitions=12, input_tasks=4
        │                             ProjectionExec: expr=[avg(store_sales.ss_list_price)@0 as b2_lp, count(store_sales.ss_list_price)@1 as b2_cnt, count(DISTINCT store_sales.ss_list_price)@2 as b2_cntd]
        │                               GlobalLimitExec: skip=0, fetch=100
        │                                 AggregateExec: mode=Final, gby=[], aggr=[avg(store_sales.ss_list_price), count(store_sales.ss_list_price), count(DISTINCT store_sales.ss_list_price)]
        │                                   CoalescePartitionsExec
        │                                     [Stage 6] => NetworkCoalesceExec: output_partitions=12, input_tasks=4
        └──────────────────────────────────────────────────
          ┌───── Stage 1 ── Tasks: t0:[p0..p2] t1:[p3..p5] t2:[p6..p8] t3:[p9..p11]
          │ AggregateExec: mode=Partial, gby=[], aggr=[avg(store_sales.ss_list_price), count(store_sales.ss_list_price), count(DISTINCT store_sales.ss_list_price)]
          │   FilterExec: ss_quantity@0 >= 26 AND ss_quantity@0 <= 30 AND (ss_list_price@2 >= Some(15400),7,2 AND ss_list_price@2 <= Some(16400),7,2 OR ss_coupon_amt@3 >= Some(732600),7,2 AND ss_coupon_amt@3 <= Some(832600),7,2 OR ss_wholesale_cost@1 >= Some(700),7,2 AND ss_wholesale_cost@1 <= Some(2700),7,2), projection=[ss_list_price@2]
          │     DistributedLeafExec:
          │       t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_quantity, ss_wholesale_cost, ss_list_price, ss_coupon_amt], file_type=parquet, predicate=ss_quantity@10 >= 26 AND ss_quantity@10 <= 30 AND (ss_list_price@12 >= Some(15400),7,2 AND ss_list_price@12 <= Some(16400),7,2 OR ss_coupon_amt@19 >= Some(732600),7,2 AND ss_coupon_amt@19 <= Some(832600),7,2 OR ss_wholesale_cost@11 >= Some(700),7,2 AND ss_wholesale_cost@11 <= Some(2700),7,2), pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 26 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 30 AND (ss_list_price_null_count@5 != row_count@2 AND ss_list_price_max@4 >= Some(15400),7,2 AND ss_list_price_null_count@5 != row_count@2 AND ss_list_price_min@6 <= Some(16400),7,2 OR ss_coupon_amt_null_count@8 != row_count@2 AND ss_coupon_amt_max@7 >= Some(732600),7,2 AND ss_coupon_amt_null_count@8 != row_count@2 AND ss_coupon_amt_min@9 <= Some(832600),7,2 OR ss_wholesale_cost_null_count@11 != row_count@2 AND ss_wholesale_cost_max@10 >= Some(700),7,2 AND ss_wholesale_cost_null_count@11 != row_count@2 AND ss_wholesale_cost_min@12 <= Some(2700),7,2), required_guarantees=[]
          │       t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_quantity, ss_wholesale_cost, ss_list_price, ss_coupon_amt], file_type=parquet, predicate=ss_quantity@10 >= 26 AND ss_quantity@10 <= 30 AND (ss_list_price@12 >= Some(15400),7,2 AND ss_list_price@12 <= Some(16400),7,2 OR ss_coupon_amt@19 >= Some(732600),7,2 AND ss_coupon_amt@19 <= Some(832600),7,2 OR ss_wholesale_cost@11 >= Some(700),7,2 AND ss_wholesale_cost@11 <= Some(2700),7,2), pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 26 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 30 AND (ss_list_price_null_count@5 != row_count@2 AND ss_list_price_max@4 >= Some(15400),7,2 AND ss_list_price_null_count@5 != row_count@2 AND ss_list_price_min@6 <= Some(16400),7,2 OR ss_coupon_amt_null_count@8 != row_count@2 AND ss_coupon_amt_max@7 >= Some(732600),7,2 AND ss_coupon_amt_null_count@8 != row_count@2 AND ss_coupon_amt_min@9 <= Some(832600),7,2 OR ss_wholesale_cost_null_count@11 != row_count@2 AND ss_wholesale_cost_max@10 >= Some(700),7,2 AND ss_wholesale_cost_null_count@11 != row_count@2 AND ss_wholesale_cost_min@12 <= Some(2700),7,2), required_guarantees=[]
          │       t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_quantity, ss_wholesale_cost, ss_list_price, ss_coupon_amt], file_type=parquet, predicate=ss_quantity@10 >= 26 AND ss_quantity@10 <= 30 AND (ss_list_price@12 >= Some(15400),7,2 AND ss_list_price@12 <= Some(16400),7,2 OR ss_coupon_amt@19 >= Some(732600),7,2 AND ss_coupon_amt@19 <= Some(832600),7,2 OR ss_wholesale_cost@11 >= Some(700),7,2 AND ss_wholesale_cost@11 <= Some(2700),7,2), pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 26 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 30 AND (ss_list_price_null_count@5 != row_count@2 AND ss_list_price_max@4 >= Some(15400),7,2 AND ss_list_price_null_count@5 != row_count@2 AND ss_list_price_min@6 <= Some(16400),7,2 OR ss_coupon_amt_null_count@8 != row_count@2 AND ss_coupon_amt_max@7 >= Some(732600),7,2 AND ss_coupon_amt_null_count@8 != row_count@2 AND ss_coupon_amt_min@9 <= Some(832600),7,2 OR ss_wholesale_cost_null_count@11 != row_count@2 AND ss_wholesale_cost_max@10 >= Some(700),7,2 AND ss_wholesale_cost_null_count@11 != row_count@2 AND ss_wholesale_cost_min@12 <= Some(2700),7,2), required_guarantees=[]
          │       t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_quantity, ss_wholesale_cost, ss_list_price, ss_coupon_amt], file_type=parquet, predicate=ss_quantity@10 >= 26 AND ss_quantity@10 <= 30 AND (ss_list_price@12 >= Some(15400),7,2 AND ss_list_price@12 <= Some(16400),7,2 OR ss_coupon_amt@19 >= Some(732600),7,2 AND ss_coupon_amt@19 <= Some(832600),7,2 OR ss_wholesale_cost@11 >= Some(700),7,2 AND ss_wholesale_cost@11 <= Some(2700),7,2), pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 26 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 30 AND (ss_list_price_null_count@5 != row_count@2 AND ss_list_price_max@4 >= Some(15400),7,2 AND ss_list_price_null_count@5 != row_count@2 AND ss_list_price_min@6 <= Some(16400),7,2 OR ss_coupon_amt_null_count@8 != row_count@2 AND ss_coupon_amt_max@7 >= Some(732600),7,2 AND ss_coupon_amt_null_count@8 != row_count@2 AND ss_coupon_amt_min@9 <= Some(832600),7,2 OR ss_wholesale_cost_null_count@11 != row_count@2 AND ss_wholesale_cost_max@10 >= Some(700),7,2 AND ss_wholesale_cost_null_count@11 != row_count@2 AND ss_wholesale_cost_min@12 <= Some(2700),7,2), required_guarantees=[]
          └──────────────────────────────────────────────────
          ┌───── Stage 2 ── Tasks: t0:[p0..p2] t1:[p3..p5] t2:[p6..p8] t3:[p9..p11]
          │ AggregateExec: mode=Partial, gby=[], aggr=[avg(store_sales.ss_list_price), count(store_sales.ss_list_price), count(DISTINCT store_sales.ss_list_price)]
          │   FilterExec: ss_quantity@0 >= 21 AND ss_quantity@0 <= 25 AND (ss_list_price@2 >= Some(12200),7,2 AND ss_list_price@2 <= Some(13200),7,2 OR ss_coupon_amt@3 >= Some(83600),7,2 AND ss_coupon_amt@3 <= Some(183600),7,2 OR ss_wholesale_cost@1 >= Some(1700),7,2 AND ss_wholesale_cost@1 <= Some(3700),7,2), projection=[ss_list_price@2]
          │     DistributedLeafExec:
          │       t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_quantity, ss_wholesale_cost, ss_list_price, ss_coupon_amt], file_type=parquet, predicate=ss_quantity@10 >= 21 AND ss_quantity@10 <= 25 AND (ss_list_price@12 >= Some(12200),7,2 AND ss_list_price@12 <= Some(13200),7,2 OR ss_coupon_amt@19 >= Some(83600),7,2 AND ss_coupon_amt@19 <= Some(183600),7,2 OR ss_wholesale_cost@11 >= Some(1700),7,2 AND ss_wholesale_cost@11 <= Some(3700),7,2), pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 21 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 25 AND (ss_list_price_null_count@5 != row_count@2 AND ss_list_price_max@4 >= Some(12200),7,2 AND ss_list_price_null_count@5 != row_count@2 AND ss_list_price_min@6 <= Some(13200),7,2 OR ss_coupon_amt_null_count@8 != row_count@2 AND ss_coupon_amt_max@7 >= Some(83600),7,2 AND ss_coupon_amt_null_count@8 != row_count@2 AND ss_coupon_amt_min@9 <= Some(183600),7,2 OR ss_wholesale_cost_null_count@11 != row_count@2 AND ss_wholesale_cost_max@10 >= Some(1700),7,2 AND ss_wholesale_cost_null_count@11 != row_count@2 AND ss_wholesale_cost_min@12 <= Some(3700),7,2), required_guarantees=[]
          │       t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_quantity, ss_wholesale_cost, ss_list_price, ss_coupon_amt], file_type=parquet, predicate=ss_quantity@10 >= 21 AND ss_quantity@10 <= 25 AND (ss_list_price@12 >= Some(12200),7,2 AND ss_list_price@12 <= Some(13200),7,2 OR ss_coupon_amt@19 >= Some(83600),7,2 AND ss_coupon_amt@19 <= Some(183600),7,2 OR ss_wholesale_cost@11 >= Some(1700),7,2 AND ss_wholesale_cost@11 <= Some(3700),7,2), pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 21 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 25 AND (ss_list_price_null_count@5 != row_count@2 AND ss_list_price_max@4 >= Some(12200),7,2 AND ss_list_price_null_count@5 != row_count@2 AND ss_list_price_min@6 <= Some(13200),7,2 OR ss_coupon_amt_null_count@8 != row_count@2 AND ss_coupon_amt_max@7 >= Some(83600),7,2 AND ss_coupon_amt_null_count@8 != row_count@2 AND ss_coupon_amt_min@9 <= Some(183600),7,2 OR ss_wholesale_cost_null_count@11 != row_count@2 AND ss_wholesale_cost_max@10 >= Some(1700),7,2 AND ss_wholesale_cost_null_count@11 != row_count@2 AND ss_wholesale_cost_min@12 <= Some(3700),7,2), required_guarantees=[]
          │       t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_quantity, ss_wholesale_cost, ss_list_price, ss_coupon_amt], file_type=parquet, predicate=ss_quantity@10 >= 21 AND ss_quantity@10 <= 25 AND (ss_list_price@12 >= Some(12200),7,2 AND ss_list_price@12 <= Some(13200),7,2 OR ss_coupon_amt@19 >= Some(83600),7,2 AND ss_coupon_amt@19 <= Some(183600),7,2 OR ss_wholesale_cost@11 >= Some(1700),7,2 AND ss_wholesale_cost@11 <= Some(3700),7,2), pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 21 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 25 AND (ss_list_price_null_count@5 != row_count@2 AND ss_list_price_max@4 >= Some(12200),7,2 AND ss_list_price_null_count@5 != row_count@2 AND ss_list_price_min@6 <= Some(13200),7,2 OR ss_coupon_amt_null_count@8 != row_count@2 AND ss_coupon_amt_max@7 >= Some(83600),7,2 AND ss_coupon_amt_null_count@8 != row_count@2 AND ss_coupon_amt_min@9 <= Some(183600),7,2 OR ss_wholesale_cost_null_count@11 != row_count@2 AND ss_wholesale_cost_max@10 >= Some(1700),7,2 AND ss_wholesale_cost_null_count@11 != row_count@2 AND ss_wholesale_cost_min@12 <= Some(3700),7,2), required_guarantees=[]
          │       t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_quantity, ss_wholesale_cost, ss_list_price, ss_coupon_amt], file_type=parquet, predicate=ss_quantity@10 >= 21 AND ss_quantity@10 <= 25 AND (ss_list_price@12 >= Some(12200),7,2 AND ss_list_price@12 <= Some(13200),7,2 OR ss_coupon_amt@19 >= Some(83600),7,2 AND ss_coupon_amt@19 <= Some(183600),7,2 OR ss_wholesale_cost@11 >= Some(1700),7,2 AND ss_wholesale_cost@11 <= Some(3700),7,2), pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 21 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 25 AND (ss_list_price_null_count@5 != row_count@2 AND ss_list_price_max@4 >= Some(12200),7,2 AND ss_list_price_null_count@5 != row_count@2 AND ss_list_price_min@6 <= Some(13200),7,2 OR ss_coupon_amt_null_count@8 != row_count@2 AND ss_coupon_amt_max@7 >= Some(83600),7,2 AND ss_coupon_amt_null_count@8 != row_count@2 AND ss_coupon_amt_min@9 <= Some(183600),7,2 OR ss_wholesale_cost_null_count@11 != row_count@2 AND ss_wholesale_cost_max@10 >= Some(1700),7,2 AND ss_wholesale_cost_null_count@11 != row_count@2 AND ss_wholesale_cost_min@12 <= Some(3700),7,2), required_guarantees=[]
          └──────────────────────────────────────────────────
          ┌───── Stage 3 ── Tasks: t0:[p0..p2] t1:[p3..p5] t2:[p6..p8] t3:[p9..p11]
          │ AggregateExec: mode=Partial, gby=[], aggr=[avg(store_sales.ss_list_price), count(store_sales.ss_list_price), count(DISTINCT store_sales.ss_list_price)]
          │   FilterExec: ss_quantity@0 >= 16 AND ss_quantity@0 <= 20 AND (ss_list_price@2 >= Some(13500),7,2 AND ss_list_price@2 <= Some(14500),7,2 OR ss_coupon_amt@3 >= Some(607100),7,2 AND ss_coupon_amt@3 <= Some(707100),7,2 OR ss_wholesale_cost@1 >= Some(3800),7,2 AND ss_wholesale_cost@1 <= Some(5800),7,2), projection=[ss_list_price@2]
          │     DistributedLeafExec:
          │       t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_quantity, ss_wholesale_cost, ss_list_price, ss_coupon_amt], file_type=parquet, predicate=ss_quantity@10 >= 16 AND ss_quantity@10 <= 20 AND (ss_list_price@12 >= Some(13500),7,2 AND ss_list_price@12 <= Some(14500),7,2 OR ss_coupon_amt@19 >= Some(607100),7,2 AND ss_coupon_amt@19 <= Some(707100),7,2 OR ss_wholesale_cost@11 >= Some(3800),7,2 AND ss_wholesale_cost@11 <= Some(5800),7,2), pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 16 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 20 AND (ss_list_price_null_count@5 != row_count@2 AND ss_list_price_max@4 >= Some(13500),7,2 AND ss_list_price_null_count@5 != row_count@2 AND ss_list_price_min@6 <= Some(14500),7,2 OR ss_coupon_amt_null_count@8 != row_count@2 AND ss_coupon_amt_max@7 >= Some(607100),7,2 AND ss_coupon_amt_null_count@8 != row_count@2 AND ss_coupon_amt_min@9 <= Some(707100),7,2 OR ss_wholesale_cost_null_count@11 != row_count@2 AND ss_wholesale_cost_max@10 >= Some(3800),7,2 AND ss_wholesale_cost_null_count@11 != row_count@2 AND ss_wholesale_cost_min@12 <= Some(5800),7,2), required_guarantees=[]
          │       t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_quantity, ss_wholesale_cost, ss_list_price, ss_coupon_amt], file_type=parquet, predicate=ss_quantity@10 >= 16 AND ss_quantity@10 <= 20 AND (ss_list_price@12 >= Some(13500),7,2 AND ss_list_price@12 <= Some(14500),7,2 OR ss_coupon_amt@19 >= Some(607100),7,2 AND ss_coupon_amt@19 <= Some(707100),7,2 OR ss_wholesale_cost@11 >= Some(3800),7,2 AND ss_wholesale_cost@11 <= Some(5800),7,2), pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 16 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 20 AND (ss_list_price_null_count@5 != row_count@2 AND ss_list_price_max@4 >= Some(13500),7,2 AND ss_list_price_null_count@5 != row_count@2 AND ss_list_price_min@6 <= Some(14500),7,2 OR ss_coupon_amt_null_count@8 != row_count@2 AND ss_coupon_amt_max@7 >= Some(607100),7,2 AND ss_coupon_amt_null_count@8 != row_count@2 AND ss_coupon_amt_min@9 <= Some(707100),7,2 OR ss_wholesale_cost_null_count@11 != row_count@2 AND ss_wholesale_cost_max@10 >= Some(3800),7,2 AND ss_wholesale_cost_null_count@11 != row_count@2 AND ss_wholesale_cost_min@12 <= Some(5800),7,2), required_guarantees=[]
          │       t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_quantity, ss_wholesale_cost, ss_list_price, ss_coupon_amt], file_type=parquet, predicate=ss_quantity@10 >= 16 AND ss_quantity@10 <= 20 AND (ss_list_price@12 >= Some(13500),7,2 AND ss_list_price@12 <= Some(14500),7,2 OR ss_coupon_amt@19 >= Some(607100),7,2 AND ss_coupon_amt@19 <= Some(707100),7,2 OR ss_wholesale_cost@11 >= Some(3800),7,2 AND ss_wholesale_cost@11 <= Some(5800),7,2), pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 16 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 20 AND (ss_list_price_null_count@5 != row_count@2 AND ss_list_price_max@4 >= Some(13500),7,2 AND ss_list_price_null_count@5 != row_count@2 AND ss_list_price_min@6 <= Some(14500),7,2 OR ss_coupon_amt_null_count@8 != row_count@2 AND ss_coupon_amt_max@7 >= Some(607100),7,2 AND ss_coupon_amt_null_count@8 != row_count@2 AND ss_coupon_amt_min@9 <= Some(707100),7,2 OR ss_wholesale_cost_null_count@11 != row_count@2 AND ss_wholesale_cost_max@10 >= Some(3800),7,2 AND ss_wholesale_cost_null_count@11 != row_count@2 AND ss_wholesale_cost_min@12 <= Some(5800),7,2), required_guarantees=[]
          │       t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_quantity, ss_wholesale_cost, ss_list_price, ss_coupon_amt], file_type=parquet, predicate=ss_quantity@10 >= 16 AND ss_quantity@10 <= 20 AND (ss_list_price@12 >= Some(13500),7,2 AND ss_list_price@12 <= Some(14500),7,2 OR ss_coupon_amt@19 >= Some(607100),7,2 AND ss_coupon_amt@19 <= Some(707100),7,2 OR ss_wholesale_cost@11 >= Some(3800),7,2 AND ss_wholesale_cost@11 <= Some(5800),7,2), pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 16 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 20 AND (ss_list_price_null_count@5 != row_count@2 AND ss_list_price_max@4 >= Some(13500),7,2 AND ss_list_price_null_count@5 != row_count@2 AND ss_list_price_min@6 <= Some(14500),7,2 OR ss_coupon_amt_null_count@8 != row_count@2 AND ss_coupon_amt_max@7 >= Some(607100),7,2 AND ss_coupon_amt_null_count@8 != row_count@2 AND ss_coupon_amt_min@9 <= Some(707100),7,2 OR ss_wholesale_cost_null_count@11 != row_count@2 AND ss_wholesale_cost_max@10 >= Some(3800),7,2 AND ss_wholesale_cost_null_count@11 != row_count@2 AND ss_wholesale_cost_min@12 <= Some(5800),7,2), required_guarantees=[]
          └──────────────────────────────────────────────────
          ┌───── Stage 4 ── Tasks: t0:[p0..p2] t1:[p3..p5] t2:[p6..p8] t3:[p9..p11]
          │ AggregateExec: mode=Partial, gby=[], aggr=[avg(store_sales.ss_list_price), count(store_sales.ss_list_price), count(DISTINCT store_sales.ss_list_price)]
          │   FilterExec: ss_quantity@0 >= 11 AND ss_quantity@0 <= 15 AND (ss_list_price@2 >= Some(14200),7,2 AND ss_list_price@2 <= Some(15200),7,2 OR ss_coupon_amt@3 >= Some(1221400),7,2 AND ss_coupon_amt@3 <= Some(1321400),7,2 OR ss_wholesale_cost@1 >= Some(7900),7,2 AND ss_wholesale_cost@1 <= Some(9900),7,2), projection=[ss_list_price@2]
          │     DistributedLeafExec:
          │       t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_quantity, ss_wholesale_cost, ss_list_price, ss_coupon_amt], file_type=parquet, predicate=ss_quantity@10 >= 11 AND ss_quantity@10 <= 15 AND (ss_list_price@12 >= Some(14200),7,2 AND ss_list_price@12 <= Some(15200),7,2 OR ss_coupon_amt@19 >= Some(1221400),7,2 AND ss_coupon_amt@19 <= Some(1321400),7,2 OR ss_wholesale_cost@11 >= Some(7900),7,2 AND ss_wholesale_cost@11 <= Some(9900),7,2), pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 11 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 15 AND (ss_list_price_null_count@5 != row_count@2 AND ss_list_price_max@4 >= Some(14200),7,2 AND ss_list_price_null_count@5 != row_count@2 AND ss_list_price_min@6 <= Some(15200),7,2 OR ss_coupon_amt_null_count@8 != row_count@2 AND ss_coupon_amt_max@7 >= Some(1221400),7,2 AND ss_coupon_amt_null_count@8 != row_count@2 AND ss_coupon_amt_min@9 <= Some(1321400),7,2 OR ss_wholesale_cost_null_count@11 != row_count@2 AND ss_wholesale_cost_max@10 >= Some(7900),7,2 AND ss_wholesale_cost_null_count@11 != row_count@2 AND ss_wholesale_cost_min@12 <= Some(9900),7,2), required_guarantees=[]
          │       t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_quantity, ss_wholesale_cost, ss_list_price, ss_coupon_amt], file_type=parquet, predicate=ss_quantity@10 >= 11 AND ss_quantity@10 <= 15 AND (ss_list_price@12 >= Some(14200),7,2 AND ss_list_price@12 <= Some(15200),7,2 OR ss_coupon_amt@19 >= Some(1221400),7,2 AND ss_coupon_amt@19 <= Some(1321400),7,2 OR ss_wholesale_cost@11 >= Some(7900),7,2 AND ss_wholesale_cost@11 <= Some(9900),7,2), pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 11 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 15 AND (ss_list_price_null_count@5 != row_count@2 AND ss_list_price_max@4 >= Some(14200),7,2 AND ss_list_price_null_count@5 != row_count@2 AND ss_list_price_min@6 <= Some(15200),7,2 OR ss_coupon_amt_null_count@8 != row_count@2 AND ss_coupon_amt_max@7 >= Some(1221400),7,2 AND ss_coupon_amt_null_count@8 != row_count@2 AND ss_coupon_amt_min@9 <= Some(1321400),7,2 OR ss_wholesale_cost_null_count@11 != row_count@2 AND ss_wholesale_cost_max@10 >= Some(7900),7,2 AND ss_wholesale_cost_null_count@11 != row_count@2 AND ss_wholesale_cost_min@12 <= Some(9900),7,2), required_guarantees=[]
          │       t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_quantity, ss_wholesale_cost, ss_list_price, ss_coupon_amt], file_type=parquet, predicate=ss_quantity@10 >= 11 AND ss_quantity@10 <= 15 AND (ss_list_price@12 >= Some(14200),7,2 AND ss_list_price@12 <= Some(15200),7,2 OR ss_coupon_amt@19 >= Some(1221400),7,2 AND ss_coupon_amt@19 <= Some(1321400),7,2 OR ss_wholesale_cost@11 >= Some(7900),7,2 AND ss_wholesale_cost@11 <= Some(9900),7,2), pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 11 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 15 AND (ss_list_price_null_count@5 != row_count@2 AND ss_list_price_max@4 >= Some(14200),7,2 AND ss_list_price_null_count@5 != row_count@2 AND ss_list_price_min@6 <= Some(15200),7,2 OR ss_coupon_amt_null_count@8 != row_count@2 AND ss_coupon_amt_max@7 >= Some(1221400),7,2 AND ss_coupon_amt_null_count@8 != row_count@2 AND ss_coupon_amt_min@9 <= Some(1321400),7,2 OR ss_wholesale_cost_null_count@11 != row_count@2 AND ss_wholesale_cost_max@10 >= Some(7900),7,2 AND ss_wholesale_cost_null_count@11 != row_count@2 AND ss_wholesale_cost_min@12 <= Some(9900),7,2), required_guarantees=[]
          │       t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_quantity, ss_wholesale_cost, ss_list_price, ss_coupon_amt], file_type=parquet, predicate=ss_quantity@10 >= 11 AND ss_quantity@10 <= 15 AND (ss_list_price@12 >= Some(14200),7,2 AND ss_list_price@12 <= Some(15200),7,2 OR ss_coupon_amt@19 >= Some(1221400),7,2 AND ss_coupon_amt@19 <= Some(1321400),7,2 OR ss_wholesale_cost@11 >= Some(7900),7,2 AND ss_wholesale_cost@11 <= Some(9900),7,2), pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 11 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 15 AND (ss_list_price_null_count@5 != row_count@2 AND ss_list_price_max@4 >= Some(14200),7,2 AND ss_list_price_null_count@5 != row_count@2 AND ss_list_price_min@6 <= Some(15200),7,2 OR ss_coupon_amt_null_count@8 != row_count@2 AND ss_coupon_amt_max@7 >= Some(1221400),7,2 AND ss_coupon_amt_null_count@8 != row_count@2 AND ss_coupon_amt_min@9 <= Some(1321400),7,2 OR ss_wholesale_cost_null_count@11 != row_count@2 AND ss_wholesale_cost_max@10 >= Some(7900),7,2 AND ss_wholesale_cost_null_count@11 != row_count@2 AND ss_wholesale_cost_min@12 <= Some(9900),7,2), required_guarantees=[]
          └──────────────────────────────────────────────────
          ┌───── Stage 5 ── Tasks: t0:[p0..p2] t1:[p3..p5] t2:[p6..p8] t3:[p9..p11]
          │ AggregateExec: mode=Partial, gby=[], aggr=[avg(store_sales.ss_list_price), count(store_sales.ss_list_price), count(DISTINCT store_sales.ss_list_price)]
          │   FilterExec: ss_quantity@0 >= 0 AND ss_quantity@0 <= 5 AND (ss_list_price@2 >= Some(800),7,2 AND ss_list_price@2 <= Some(1800),7,2 OR ss_coupon_amt@3 >= Some(45900),7,2 AND ss_coupon_amt@3 <= Some(145900),7,2 OR ss_wholesale_cost@1 >= Some(5700),7,2 AND ss_wholesale_cost@1 <= Some(7700),7,2), projection=[ss_list_price@2]
          │     DistributedLeafExec:
          │       t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_quantity, ss_wholesale_cost, ss_list_price, ss_coupon_amt], file_type=parquet, predicate=ss_quantity@10 >= 0 AND ss_quantity@10 <= 5 AND (ss_list_price@12 >= Some(800),7,2 AND ss_list_price@12 <= Some(1800),7,2 OR ss_coupon_amt@19 >= Some(45900),7,2 AND ss_coupon_amt@19 <= Some(145900),7,2 OR ss_wholesale_cost@11 >= Some(5700),7,2 AND ss_wholesale_cost@11 <= Some(7700),7,2), pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 0 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 5 AND (ss_list_price_null_count@5 != row_count@2 AND ss_list_price_max@4 >= Some(800),7,2 AND ss_list_price_null_count@5 != row_count@2 AND ss_list_price_min@6 <= Some(1800),7,2 OR ss_coupon_amt_null_count@8 != row_count@2 AND ss_coupon_amt_max@7 >= Some(45900),7,2 AND ss_coupon_amt_null_count@8 != row_count@2 AND ss_coupon_amt_min@9 <= Some(145900),7,2 OR ss_wholesale_cost_null_count@11 != row_count@2 AND ss_wholesale_cost_max@10 >= Some(5700),7,2 AND ss_wholesale_cost_null_count@11 != row_count@2 AND ss_wholesale_cost_min@12 <= Some(7700),7,2), required_guarantees=[]
          │       t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_quantity, ss_wholesale_cost, ss_list_price, ss_coupon_amt], file_type=parquet, predicate=ss_quantity@10 >= 0 AND ss_quantity@10 <= 5 AND (ss_list_price@12 >= Some(800),7,2 AND ss_list_price@12 <= Some(1800),7,2 OR ss_coupon_amt@19 >= Some(45900),7,2 AND ss_coupon_amt@19 <= Some(145900),7,2 OR ss_wholesale_cost@11 >= Some(5700),7,2 AND ss_wholesale_cost@11 <= Some(7700),7,2), pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 0 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 5 AND (ss_list_price_null_count@5 != row_count@2 AND ss_list_price_max@4 >= Some(800),7,2 AND ss_list_price_null_count@5 != row_count@2 AND ss_list_price_min@6 <= Some(1800),7,2 OR ss_coupon_amt_null_count@8 != row_count@2 AND ss_coupon_amt_max@7 >= Some(45900),7,2 AND ss_coupon_amt_null_count@8 != row_count@2 AND ss_coupon_amt_min@9 <= Some(145900),7,2 OR ss_wholesale_cost_null_count@11 != row_count@2 AND ss_wholesale_cost_max@10 >= Some(5700),7,2 AND ss_wholesale_cost_null_count@11 != row_count@2 AND ss_wholesale_cost_min@12 <= Some(7700),7,2), required_guarantees=[]
          │       t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_quantity, ss_wholesale_cost, ss_list_price, ss_coupon_amt], file_type=parquet, predicate=ss_quantity@10 >= 0 AND ss_quantity@10 <= 5 AND (ss_list_price@12 >= Some(800),7,2 AND ss_list_price@12 <= Some(1800),7,2 OR ss_coupon_amt@19 >= Some(45900),7,2 AND ss_coupon_amt@19 <= Some(145900),7,2 OR ss_wholesale_cost@11 >= Some(5700),7,2 AND ss_wholesale_cost@11 <= Some(7700),7,2), pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 0 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 5 AND (ss_list_price_null_count@5 != row_count@2 AND ss_list_price_max@4 >= Some(800),7,2 AND ss_list_price_null_count@5 != row_count@2 AND ss_list_price_min@6 <= Some(1800),7,2 OR ss_coupon_amt_null_count@8 != row_count@2 AND ss_coupon_amt_max@7 >= Some(45900),7,2 AND ss_coupon_amt_null_count@8 != row_count@2 AND ss_coupon_amt_min@9 <= Some(145900),7,2 OR ss_wholesale_cost_null_count@11 != row_count@2 AND ss_wholesale_cost_max@10 >= Some(5700),7,2 AND ss_wholesale_cost_null_count@11 != row_count@2 AND ss_wholesale_cost_min@12 <= Some(7700),7,2), required_guarantees=[]
          │       t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_quantity, ss_wholesale_cost, ss_list_price, ss_coupon_amt], file_type=parquet, predicate=ss_quantity@10 >= 0 AND ss_quantity@10 <= 5 AND (ss_list_price@12 >= Some(800),7,2 AND ss_list_price@12 <= Some(1800),7,2 OR ss_coupon_amt@19 >= Some(45900),7,2 AND ss_coupon_amt@19 <= Some(145900),7,2 OR ss_wholesale_cost@11 >= Some(5700),7,2 AND ss_wholesale_cost@11 <= Some(7700),7,2), pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 0 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 5 AND (ss_list_price_null_count@5 != row_count@2 AND ss_list_price_max@4 >= Some(800),7,2 AND ss_list_price_null_count@5 != row_count@2 AND ss_list_price_min@6 <= Some(1800),7,2 OR ss_coupon_amt_null_count@8 != row_count@2 AND ss_coupon_amt_max@7 >= Some(45900),7,2 AND ss_coupon_amt_null_count@8 != row_count@2 AND ss_coupon_amt_min@9 <= Some(145900),7,2 OR ss_wholesale_cost_null_count@11 != row_count@2 AND ss_wholesale_cost_max@10 >= Some(5700),7,2 AND ss_wholesale_cost_null_count@11 != row_count@2 AND ss_wholesale_cost_min@12 <= Some(7700),7,2), required_guarantees=[]
          └──────────────────────────────────────────────────
          ┌───── Stage 6 ── Tasks: t0:[p0..p2] t1:[p3..p5] t2:[p6..p8] t3:[p9..p11]
          │ AggregateExec: mode=Partial, gby=[], aggr=[avg(store_sales.ss_list_price), count(store_sales.ss_list_price), count(DISTINCT store_sales.ss_list_price)]
          │   FilterExec: ss_quantity@0 >= 6 AND ss_quantity@0 <= 10 AND (ss_list_price@2 >= Some(9000),7,2 AND ss_list_price@2 <= Some(10000),7,2 OR ss_coupon_amt@3 >= Some(232300),7,2 AND ss_coupon_amt@3 <= Some(332300),7,2 OR ss_wholesale_cost@1 >= Some(3100),7,2 AND ss_wholesale_cost@1 <= Some(5100),7,2), projection=[ss_list_price@2]
          │     DistributedLeafExec:
          │       t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_quantity, ss_wholesale_cost, ss_list_price, ss_coupon_amt], file_type=parquet, predicate=ss_quantity@10 >= 6 AND ss_quantity@10 <= 10 AND (ss_list_price@12 >= Some(9000),7,2 AND ss_list_price@12 <= Some(10000),7,2 OR ss_coupon_amt@19 >= Some(232300),7,2 AND ss_coupon_amt@19 <= Some(332300),7,2 OR ss_wholesale_cost@11 >= Some(3100),7,2 AND ss_wholesale_cost@11 <= Some(5100),7,2), pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 6 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 10 AND (ss_list_price_null_count@5 != row_count@2 AND ss_list_price_max@4 >= Some(9000),7,2 AND ss_list_price_null_count@5 != row_count@2 AND ss_list_price_min@6 <= Some(10000),7,2 OR ss_coupon_amt_null_count@8 != row_count@2 AND ss_coupon_amt_max@7 >= Some(232300),7,2 AND ss_coupon_amt_null_count@8 != row_count@2 AND ss_coupon_amt_min@9 <= Some(332300),7,2 OR ss_wholesale_cost_null_count@11 != row_count@2 AND ss_wholesale_cost_max@10 >= Some(3100),7,2 AND ss_wholesale_cost_null_count@11 != row_count@2 AND ss_wholesale_cost_min@12 <= Some(5100),7,2), required_guarantees=[]
          │       t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_quantity, ss_wholesale_cost, ss_list_price, ss_coupon_amt], file_type=parquet, predicate=ss_quantity@10 >= 6 AND ss_quantity@10 <= 10 AND (ss_list_price@12 >= Some(9000),7,2 AND ss_list_price@12 <= Some(10000),7,2 OR ss_coupon_amt@19 >= Some(232300),7,2 AND ss_coupon_amt@19 <= Some(332300),7,2 OR ss_wholesale_cost@11 >= Some(3100),7,2 AND ss_wholesale_cost@11 <= Some(5100),7,2), pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 6 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 10 AND (ss_list_price_null_count@5 != row_count@2 AND ss_list_price_max@4 >= Some(9000),7,2 AND ss_list_price_null_count@5 != row_count@2 AND ss_list_price_min@6 <= Some(10000),7,2 OR ss_coupon_amt_null_count@8 != row_count@2 AND ss_coupon_amt_max@7 >= Some(232300),7,2 AND ss_coupon_amt_null_count@8 != row_count@2 AND ss_coupon_amt_min@9 <= Some(332300),7,2 OR ss_wholesale_cost_null_count@11 != row_count@2 AND ss_wholesale_cost_max@10 >= Some(3100),7,2 AND ss_wholesale_cost_null_count@11 != row_count@2 AND ss_wholesale_cost_min@12 <= Some(5100),7,2), required_guarantees=[]
          │       t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_quantity, ss_wholesale_cost, ss_list_price, ss_coupon_amt], file_type=parquet, predicate=ss_quantity@10 >= 6 AND ss_quantity@10 <= 10 AND (ss_list_price@12 >= Some(9000),7,2 AND ss_list_price@12 <= Some(10000),7,2 OR ss_coupon_amt@19 >= Some(232300),7,2 AND ss_coupon_amt@19 <= Some(332300),7,2 OR ss_wholesale_cost@11 >= Some(3100),7,2 AND ss_wholesale_cost@11 <= Some(5100),7,2), pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 6 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 10 AND (ss_list_price_null_count@5 != row_count@2 AND ss_list_price_max@4 >= Some(9000),7,2 AND ss_list_price_null_count@5 != row_count@2 AND ss_list_price_min@6 <= Some(10000),7,2 OR ss_coupon_amt_null_count@8 != row_count@2 AND ss_coupon_amt_max@7 >= Some(232300),7,2 AND ss_coupon_amt_null_count@8 != row_count@2 AND ss_coupon_amt_min@9 <= Some(332300),7,2 OR ss_wholesale_cost_null_count@11 != row_count@2 AND ss_wholesale_cost_max@10 >= Some(3100),7,2 AND ss_wholesale_cost_null_count@11 != row_count@2 AND ss_wholesale_cost_min@12 <= Some(5100),7,2), required_guarantees=[]
          │       t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_quantity, ss_wholesale_cost, ss_list_price, ss_coupon_amt], file_type=parquet, predicate=ss_quantity@10 >= 6 AND ss_quantity@10 <= 10 AND (ss_list_price@12 >= Some(9000),7,2 AND ss_list_price@12 <= Some(10000),7,2 OR ss_coupon_amt@19 >= Some(232300),7,2 AND ss_coupon_amt@19 <= Some(332300),7,2 OR ss_wholesale_cost@11 >= Some(3100),7,2 AND ss_wholesale_cost@11 <= Some(5100),7,2), pruning_predicate=ss_quantity_null_count@1 != row_count@2 AND ss_quantity_max@0 >= 6 AND ss_quantity_null_count@1 != row_count@2 AND ss_quantity_min@3 <= 10 AND (ss_list_price_null_count@5 != row_count@2 AND ss_list_price_max@4 >= Some(9000),7,2 AND ss_list_price_null_count@5 != row_count@2 AND ss_list_price_min@6 <= Some(10000),7,2 OR ss_coupon_amt_null_count@8 != row_count@2 AND ss_coupon_amt_max@7 >= Some(232300),7,2 AND ss_coupon_amt_null_count@8 != row_count@2 AND ss_coupon_amt_min@9 <= Some(332300),7,2 OR ss_wholesale_cost_null_count@11 != row_count@2 AND ss_wholesale_cost_max@10 >= Some(3100),7,2 AND ss_wholesale_cost_null_count@11 != row_count@2 AND ss_wholesale_cost_min@12 <= Some(5100),7,2), required_guarantees=[]
          └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_29() -> Result<()> {
        let display = test_tpcds_query("q29").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [i_item_id@0 ASC NULLS LAST, i_item_desc@1 ASC NULLS LAST, s_store_id@2 ASC NULLS LAST, s_store_name@3 ASC NULLS LAST], fetch=100
        │   [Stage 11] => NetworkCoalesceExec: output_partitions=6, input_tasks=2
        └──────────────────────────────────────────────────
          ┌───── Stage 11 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ SortExec: TopK(fetch=100), expr=[i_item_id@0 ASC NULLS LAST, i_item_desc@1 ASC NULLS LAST, s_store_id@2 ASC NULLS LAST, s_store_name@3 ASC NULLS LAST], preserve_partitioning=[true]
          │   ProjectionExec: expr=[i_item_id@0 as i_item_id, i_item_desc@1 as i_item_desc, s_store_id@2 as s_store_id, s_store_name@3 as s_store_name, sum(store_sales.ss_quantity)@4 as store_sales_quantity, sum(store_returns.sr_return_quantity)@5 as store_returns_quantity, sum(catalog_sales.cs_quantity)@6 as catalog_sales_quantity]
          │     AggregateExec: mode=FinalPartitioned, gby=[i_item_id@0 as i_item_id, i_item_desc@1 as i_item_desc, s_store_id@2 as s_store_id, s_store_name@3 as s_store_name], aggr=[sum(store_sales.ss_quantity), sum(store_returns.sr_return_quantity), sum(catalog_sales.cs_quantity)]
          │       [Stage 10] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 10 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([i_item_id@0, i_item_desc@1, s_store_id@2, s_store_name@3], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[i_item_id@5 as i_item_id, i_item_desc@6 as i_item_desc, s_store_id@3 as s_store_id, s_store_name@4 as s_store_name], aggr=[sum(store_sales.ss_quantity), sum(store_returns.sr_return_quantity), sum(catalog_sales.cs_quantity)]
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, ss_item_sk@0)], projection=[ss_quantity@4, sr_return_quantity@5, cs_quantity@6, s_store_id@7, s_store_name@8, i_item_id@1, i_item_desc@2]
            │       CoalescePartitionsExec
            │         [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(s_store_sk@0, ss_store_sk@1)], projection=[ss_item_sk@3, ss_quantity@5, sr_return_quantity@6, cs_quantity@7, s_store_id@1, s_store_name@2]
            │         CoalescePartitionsExec
            │           [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, cs_sold_date_sk@4)], projection=[ss_item_sk@1, ss_store_sk@2, ss_quantity@3, sr_return_quantity@4, cs_quantity@6]
            │           CoalescePartitionsExec
            │             [Stage 3] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │           HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, sr_returned_date_sk@3)], projection=[ss_item_sk@1, ss_store_sk@2, ss_quantity@3, sr_return_quantity@5, cs_sold_date_sk@6, cs_quantity@7]
            │             CoalescePartitionsExec
            │               [Stage 4] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │             HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[ss_item_sk@2, ss_store_sk@3, ss_quantity@4, sr_returned_date_sk@5, sr_return_quantity@6, cs_sold_date_sk@7, cs_quantity@8]
            │               CoalescePartitionsExec
            │                 [Stage 5] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │               HashJoinExec: mode=Partitioned, join_type=Inner, on=[(cs_bill_customer_sk@1, sr_customer_sk@6), (cs_item_sk@2, sr_item_sk@5)], projection=[ss_sold_date_sk@4, ss_item_sk@5, ss_store_sk@6, ss_quantity@7, sr_returned_date_sk@8, sr_return_quantity@11, cs_sold_date_sk@0, cs_quantity@3]
            │                 [Stage 6] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            │                 [Stage 9] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            └──────────────────────────────────────────────────
              ┌───── Stage 1 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id, i_item_desc], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id, i_item_desc], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id, i_item_desc], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id, i_item_desc], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 2 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_id, s_store_name], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_id, s_store_name], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_id, s_store_name], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_id, s_store_name], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 3 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_year@1 = 1999 OR d_year@1 = 2000 OR d_year@1 = 2001, projection=[d_date_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 1999 OR d_year@6 = 2000 OR d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1999 AND 1999 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (1999, 2000, 2001)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 1999 OR d_year@6 = 2000 OR d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1999 AND 1999 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (1999, 2000, 2001)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 1999 OR d_year@6 = 2000 OR d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1999 AND 1999 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (1999, 2000, 2001)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 1999 OR d_year@6 = 2000 OR d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1999 AND 1999 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (1999, 2000, 2001)]
              └──────────────────────────────────────────────────
              ┌───── Stage 4 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_moy@2 >= 9 AND d_moy@2 <= 12 AND d_year@1 = 1999, projection=[d_date_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_moy@8 >= 9 AND d_moy@8 <= 12 AND d_year@6 = 1999, pruning_predicate=d_moy_null_count@1 != row_count@2 AND d_moy_max@0 >= 9 AND d_moy_null_count@1 != row_count@2 AND d_moy_min@3 <= 12 AND d_year_null_count@6 != row_count@2 AND d_year_min@4 <= 1999 AND 1999 <= d_year_max@5, required_guarantees=[d_year in (1999)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_moy@8 >= 9 AND d_moy@8 <= 12 AND d_year@6 = 1999, pruning_predicate=d_moy_null_count@1 != row_count@2 AND d_moy_max@0 >= 9 AND d_moy_null_count@1 != row_count@2 AND d_moy_min@3 <= 12 AND d_year_null_count@6 != row_count@2 AND d_year_min@4 <= 1999 AND 1999 <= d_year_max@5, required_guarantees=[d_year in (1999)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_moy@8 >= 9 AND d_moy@8 <= 12 AND d_year@6 = 1999, pruning_predicate=d_moy_null_count@1 != row_count@2 AND d_moy_max@0 >= 9 AND d_moy_null_count@1 != row_count@2 AND d_moy_min@3 <= 12 AND d_year_null_count@6 != row_count@2 AND d_year_min@4 <= 1999 AND 1999 <= d_year_max@5, required_guarantees=[d_year in (1999)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_moy@8 >= 9 AND d_moy@8 <= 12 AND d_year@6 = 1999, pruning_predicate=d_moy_null_count@1 != row_count@2 AND d_moy_max@0 >= 9 AND d_moy_null_count@1 != row_count@2 AND d_moy_min@3 <= 12 AND d_year_null_count@6 != row_count@2 AND d_year_min@4 <= 1999 AND 1999 <= d_year_max@5, required_guarantees=[d_year in (1999)]
              └──────────────────────────────────────────────────
              ┌───── Stage 5 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_moy@2 = 9 AND d_year@1 = 1999, projection=[d_date_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_moy@8 = 9 AND d_year@6 = 1999, pruning_predicate=d_moy_null_count@2 != row_count@3 AND d_moy_min@0 <= 9 AND 9 <= d_moy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 1999 AND 1999 <= d_year_max@5, required_guarantees=[d_moy in (9), d_year in (1999)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_moy@8 = 9 AND d_year@6 = 1999, pruning_predicate=d_moy_null_count@2 != row_count@3 AND d_moy_min@0 <= 9 AND 9 <= d_moy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 1999 AND 1999 <= d_year_max@5, required_guarantees=[d_moy in (9), d_year in (1999)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_moy@8 = 9 AND d_year@6 = 1999, pruning_predicate=d_moy_null_count@2 != row_count@3 AND d_moy_min@0 <= 9 AND 9 <= d_moy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 1999 AND 1999 <= d_year_max@5, required_guarantees=[d_moy in (9), d_year in (1999)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_moy@8 = 9 AND d_year@6 = 1999, pruning_predicate=d_moy_null_count@2 != row_count@3 AND d_moy_min@0 <= 9 AND 9 <= d_moy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 1999 AND 1999 <= d_year_max@5, required_guarantees=[d_moy in (9), d_year in (1999)]
              └──────────────────────────────────────────────────
              ┌───── Stage 6 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
              │ RepartitionExec: partitioning=Hash([cs_bill_customer_sk@1, cs_item_sk@2], 12), input_partitions=3
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_bill_customer_sk, cs_item_sk, cs_quantity], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_bill_customer_sk, cs_item_sk, cs_quantity], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_bill_customer_sk, cs_item_sk, cs_quantity], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_bill_customer_sk, cs_item_sk, cs_quantity], file_type=parquet, predicate=DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
              ┌───── Stage 9 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
              │ RepartitionExec: partitioning=Hash([sr_customer_sk@6, sr_item_sk@5], 12), input_partitions=3
              │   HashJoinExec: mode=Partitioned, join_type=Inner, on=[(sr_customer_sk@2, ss_customer_sk@2), (sr_item_sk@1, ss_item_sk@1), (sr_ticket_number@3, ss_ticket_number@4)], projection=[ss_sold_date_sk@5, ss_item_sk@6, ss_store_sk@8, ss_quantity@10, sr_returned_date_sk@0, sr_item_sk@1, sr_customer_sk@2, sr_return_quantity@4]
              │     [Stage 7] => NetworkShuffleExec: output_partitions=3, input_tasks=4
              │     [Stage 8] => NetworkShuffleExec: output_partitions=3, input_tasks=4
              └──────────────────────────────────────────────────
                ┌───── Stage 7 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
                │ RepartitionExec: partitioning=Hash([sr_customer_sk@2, sr_item_sk@1, sr_ticket_number@3], 12), input_partitions=3
                │   DistributedLeafExec:
                │     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>]]}, projection=[sr_returned_date_sk, sr_item_sk, sr_customer_sk, sr_ticket_number, sr_return_quantity], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │     t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-3.parquet:<int>..<int>]]}, projection=[sr_returned_date_sk, sr_item_sk, sr_customer_sk, sr_ticket_number, sr_return_quantity], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │     t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-3.parquet:<int>..<int>]]}, projection=[sr_returned_date_sk, sr_item_sk, sr_customer_sk, sr_ticket_number, sr_return_quantity], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │     t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-3.parquet:<int>..<int>]]}, projection=[sr_returned_date_sk, sr_item_sk, sr_customer_sk, sr_ticket_number, sr_return_quantity], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                └──────────────────────────────────────────────────
                ┌───── Stage 8 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
                │ RepartitionExec: partitioning=Hash([ss_customer_sk@2, ss_item_sk@1, ss_ticket_number@4], 12), input_partitions=3
                │   DistributedLeafExec:
                │     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_customer_sk, ss_store_sk, ss_ticket_number, ss_quantity], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │     t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_customer_sk, ss_store_sk, ss_ticket_number, ss_quantity], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │     t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_customer_sk, ss_store_sk, ss_ticket_number, ss_quantity], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │     t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_customer_sk, ss_store_sk, ss_ticket_number, ss_quantity], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    #[ignore = "fails on CI works locally"]
    async fn test_tpcds_30() -> Result<()> {
        let display = test_tpcds_query("q30").await?;
        assert_snapshot!(display, @"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [c_customer_id@0 ASC, c_salutation@1 ASC, c_first_name@2 ASC, c_last_name@3 ASC, c_preferred_cust_flag@4 ASC, c_birth_day@5 ASC, c_birth_month@6 ASC, c_birth_year@7 ASC, c_birth_country@8 ASC, c_login@9 ASC, c_email_address@10 ASC, c_last_review_date_sk@11 ASC, ctr_total_return@12 ASC], fetch=100
        │   [Stage 11] => NetworkCoalesceExec: output_partitions=6, input_tasks=2
        └──────────────────────────────────────────────────
          ┌───── Stage 11 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ SortExec: TopK(fetch=100), expr=[c_customer_id@0 ASC, c_salutation@1 ASC, c_first_name@2 ASC, c_last_name@3 ASC, c_preferred_cust_flag@4 ASC, c_birth_day@5 ASC, c_birth_month@6 ASC, c_birth_year@7 ASC, c_birth_country@8 ASC, c_login@9 ASC, c_email_address@10 ASC, c_last_review_date_sk@11 ASC, ctr_total_return@12 ASC], preserve_partitioning=[true]
          │   ProjectionExec: expr=[c_customer_id@1 as c_customer_id, c_salutation@2 as c_salutation, c_first_name@3 as c_first_name, c_last_name@4 as c_last_name, c_preferred_cust_flag@5 as c_preferred_cust_flag, c_birth_day@6 as c_birth_day, c_birth_month@7 as c_birth_month, c_birth_year@8 as c_birth_year, c_birth_country@9 as c_birth_country, c_login@10 as c_login, c_email_address@11 as c_email_address, c_last_review_date_sk@12 as c_last_review_date_sk, ctr_total_return@0 as ctr_total_return]
          │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(ctr_state@0, ctr_state@1)], filter=CAST(ctr_total_return@0 AS Decimal128(30, 15)) > avg(ctr2.ctr_total_return) * Float64(1.2)@1, projection=[ctr_total_return@1, c_customer_id@2, c_salutation@3, c_first_name@4, c_last_name@5, c_preferred_cust_flag@6, c_birth_day@7, c_birth_month@8, c_birth_year@9, c_birth_country@10, c_login@11, c_email_address@12, c_last_review_date_sk@13]
          │       CoalescePartitionsExec
          │         [Stage 6] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=6, input_tasks=2
          │       ProjectionExec: expr=[CAST(CAST(avg(ctr2.ctr_total_return)@1 AS Float64) * 1.2 AS Decimal128(30, 15)) as avg(ctr2.ctr_total_return) * Float64(1.2), ctr_state@0 as ctr_state]
          │         AggregateExec: mode=FinalPartitioned, gby=[ctr_state@0 as ctr_state], aggr=[avg(ctr2.ctr_total_return)]
          │           [Stage 10] => NetworkShuffleExec: output_partitions=3, input_tasks=1
          └──────────────────────────────────────────────────
            ┌───── Stage 6 ── Tasks: t0:[p0..p5] t1:[p6..p11]
            │ BroadcastExec: input_partitions=3, consumer_tasks=2, output_partitions=6
            │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(ca_address_sk@0, c_current_addr_sk@3)], projection=[ctr_state@1, ctr_total_return@2, c_customer_id@3, c_salutation@5, c_first_name@6, c_last_name@7, c_preferred_cust_flag@8, c_birth_day@9, c_birth_month@10, c_birth_year@11, c_birth_country@12, c_login@13, c_email_address@14, c_last_review_date_sk@15]
            │     CoalescePartitionsExec
            │       [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=6, input_tasks=2
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(ctr_customer_sk@0, c_customer_sk@0)], projection=[ctr_state@1, ctr_total_return@2, c_customer_id@4, c_current_addr_sk@5, c_salutation@6, c_first_name@7, c_last_name@8, c_preferred_cust_flag@9, c_birth_day@10, c_birth_month@11, c_birth_year@12, c_birth_country@13, c_login@14, c_email_address@15, c_last_review_date_sk@16]
            │       CoalescePartitionsExec
            │         [Stage 5] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=6, input_tasks=1
            │       RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │         PartitionIsolatorExec: tasks=2 partitions=4
            │           DataSourceExec: file_groups={4 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet], [/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet], [/testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet]]}, projection=[c_customer_sk, c_customer_id, c_current_addr_sk, c_salutation, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_day, c_birth_month, c_birth_year, c_birth_country, c_login, c_email_address, c_last_review_date_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 1 ── Tasks: t0:[p0..p5] t1:[p6..p11]
              │ BroadcastExec: input_partitions=3, consumer_tasks=2, output_partitions=6
              │   FilterExec: ca_state@1 = GA, projection=[ca_address_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       PartitionIsolatorExec: tasks=2 partitions=4
              │         DataSourceExec: file_groups={4 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet]]}, projection=[ca_address_sk, ca_state], file_type=parquet, predicate=ca_state@8 = GA, pruning_predicate=ca_state_null_count@2 != row_count@3 AND ca_state_min@0 <= GA AND GA <= ca_state_max@1, required_guarantees=[ca_state in (GA)]
              └──────────────────────────────────────────────────
              ┌───── Stage 5 ── Tasks: t0:[p0..p5]
              │ BroadcastExec: input_partitions=3, consumer_tasks=2, output_partitions=6
              │   ProjectionExec: expr=[wr_returning_customer_sk@0 as ctr_customer_sk, ca_state@1 as ctr_state, sum(web_returns.wr_return_amt)@2 as ctr_total_return]
              │     AggregateExec: mode=FinalPartitioned, gby=[wr_returning_customer_sk@0 as wr_returning_customer_sk, ca_state@1 as ca_state], aggr=[sum(web_returns.wr_return_amt)]
              │       [Stage 4] => NetworkShuffleExec: output_partitions=3, input_tasks=2
              └──────────────────────────────────────────────────
                ┌───── Stage 4 ── Tasks: t0:[p0..p2] t1:[p0..p2]
                │ RepartitionExec: partitioning=Hash([wr_returning_customer_sk@0, ca_state@1], 3), input_partitions=3
                │   AggregateExec: mode=Partial, gby=[wr_returning_customer_sk@0 as wr_returning_customer_sk, ca_state@2 as ca_state], aggr=[sum(web_returns.wr_return_amt)]
                │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(wr_returning_addr_sk@1, ca_address_sk@0)], projection=[wr_returning_customer_sk@0, wr_return_amt@2, ca_state@4]
                │       CoalescePartitionsExec
                │         [Stage 3] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=6, input_tasks=2
                │       RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │         PartitionIsolatorExec: tasks=2 partitions=4
                │           DataSourceExec: file_groups={4 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet]]}, projection=[ca_address_sk, ca_state], file_type=parquet, predicate=DynamicFilter [ empty ]
                └──────────────────────────────────────────────────
                  ┌───── Stage 3 ── Tasks: t0:[p0..p5] t1:[p6..p11]
                  │ BroadcastExec: input_partitions=3, consumer_tasks=2, output_partitions=6
                  │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, wr_returned_date_sk@0)], projection=[wr_returning_customer_sk@2, wr_returning_addr_sk@3, wr_return_amt@4]
                  │     CoalescePartitionsExec
                  │       [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=6, input_tasks=2
                  │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                  │       PartitionIsolatorExec: tasks=2 partitions=4
                  │         DataSourceExec: file_groups={4 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_returns/part-0.parquet], [/testdata/tpcds/plans_sf1_partitions4/web_returns/part-1.parquet], [/testdata/tpcds/plans_sf1_partitions4/web_returns/part-2.parquet], [/testdata/tpcds/plans_sf1_partitions4/web_returns/part-3.parquet]]}, projection=[wr_returned_date_sk, wr_returning_customer_sk, wr_returning_addr_sk, wr_return_amt], file_type=parquet, predicate=DynamicFilter [ empty ]
                  └──────────────────────────────────────────────────
                    ┌───── Stage 2 ── Tasks: t0:[p0..p5] t1:[p6..p11]
                    │ BroadcastExec: input_partitions=3, consumer_tasks=2, output_partitions=6
                    │   FilterExec: d_year@1 = 2002, projection=[d_date_sk@0]
                    │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                    │       PartitionIsolatorExec: tasks=2 partitions=4
                    │         DataSourceExec: file_groups={4 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2002, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1, required_guarantees=[d_year in (2002)]
                    └──────────────────────────────────────────────────
            ┌───── Stage 10 ── Tasks: t0:[p0..p5]
            │ RepartitionExec: partitioning=Hash([ctr_state@0], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[ctr_state@0 as ctr_state], aggr=[avg(ctr2.ctr_total_return)]
            │     ProjectionExec: expr=[ca_state@1 as ctr_state, sum(web_returns.wr_return_amt)@2 as ctr_total_return]
            │       AggregateExec: mode=FinalPartitioned, gby=[wr_returning_customer_sk@0 as wr_returning_customer_sk, ca_state@1 as ca_state], aggr=[sum(web_returns.wr_return_amt)]
            │         [Stage 9] => NetworkShuffleExec: output_partitions=3, input_tasks=2
            └──────────────────────────────────────────────────
              ┌───── Stage 9 ── Tasks: t0:[p0..p2] t1:[p0..p2]
              │ RepartitionExec: partitioning=Hash([wr_returning_customer_sk@0, ca_state@1], 3), input_partitions=3
              │   AggregateExec: mode=Partial, gby=[wr_returning_customer_sk@0 as wr_returning_customer_sk, ca_state@2 as ca_state], aggr=[sum(web_returns.wr_return_amt)]
              │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(wr_returning_addr_sk@1, ca_address_sk@0)], projection=[wr_returning_customer_sk@0, wr_return_amt@2, ca_state@4]
              │       CoalescePartitionsExec
              │         [Stage 8] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=6, input_tasks=2
              │       RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │         PartitionIsolatorExec: tasks=2 partitions=4
              │           DataSourceExec: file_groups={4 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet]]}, projection=[ca_address_sk, ca_state], file_type=parquet, predicate=DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
                ┌───── Stage 8 ── Tasks: t0:[p0..p5] t1:[p6..p11]
                │ BroadcastExec: input_partitions=3, consumer_tasks=2, output_partitions=6
                │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, wr_returned_date_sk@0)], projection=[wr_returning_customer_sk@2, wr_returning_addr_sk@3, wr_return_amt@4]
                │     CoalescePartitionsExec
                │       [Stage 7] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=6, input_tasks=2
                │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │       PartitionIsolatorExec: tasks=2 partitions=4
                │         DataSourceExec: file_groups={4 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_returns/part-0.parquet], [/testdata/tpcds/plans_sf1_partitions4/web_returns/part-1.parquet], [/testdata/tpcds/plans_sf1_partitions4/web_returns/part-2.parquet], [/testdata/tpcds/plans_sf1_partitions4/web_returns/part-3.parquet]]}, projection=[wr_returned_date_sk, wr_returning_customer_sk, wr_returning_addr_sk, wr_return_amt], file_type=parquet, predicate=DynamicFilter [ empty ]
                └──────────────────────────────────────────────────
                  ┌───── Stage 7 ── Tasks: t0:[p0..p5] t1:[p6..p11]
                  │ BroadcastExec: input_partitions=3, consumer_tasks=2, output_partitions=6
                  │   FilterExec: d_year@1 = 2002, projection=[d_date_sk@0]
                  │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                  │       PartitionIsolatorExec: tasks=2 partitions=4
                  │         DataSourceExec: file_groups={4 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2002, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1, required_guarantees=[d_year in (2002)]
                  └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_31() -> Result<()> {
        let display = test_tpcds_query("q31").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [ca_county@0 ASC NULLS LAST]
        │   [Stage 25] => NetworkCoalesceExec: output_partitions=6, input_tasks=2
        └──────────────────────────────────────────────────
          ┌───── Stage 25 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ SortExec: expr=[ca_county@0 ASC NULLS LAST], preserve_partitioning=[true]
          │   ProjectionExec: expr=[ca_county@2 as ca_county, d_year@3 as d_year, __common_expr_1@0 / CAST(web_sales@6 AS Float64) as web_q1_q2_increase, __common_expr_2@1 / CAST(store_sales@4 AS Float64) as store_q1_q2_increase, CAST(web_sales@7 AS Float64) / __common_expr_1@0 as web_q2_q3_increase, CAST(store_sales@5 AS Float64) / __common_expr_2@1 as store_q2_q3_increase]
          │     ProjectionExec: expr=[CAST(web_sales@0 AS Float64) as __common_expr_1, CAST(store_sales@1 AS Float64) as __common_expr_2, ca_county@2 as ca_county, d_year@3 as d_year, store_sales@4 as store_sales, store_sales@5 as store_sales, web_sales@6 as web_sales, web_sales@7 as web_sales]
          │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(ca_county@5, ca_county@0)], filter=CASE WHEN web_sales@2 > Some(0),17,2 THEN CAST(web_sales@3 AS Float64) / CAST(web_sales@2 AS Float64) END > CASE WHEN store_sales@0 > Some(0),17,2 THEN CAST(store_sales@1 AS Float64) / CAST(store_sales@0 AS Float64) END, projection=[web_sales@7, store_sales@3, ca_county@0, d_year@1, store_sales@2, store_sales@4, web_sales@6, web_sales@9]
          │         CoalescePartitionsExec
          │           [Stage 21] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=6, input_tasks=2
          │         ProjectionExec: expr=[ca_county@0 as ca_county, sum(web_sales.ws_ext_sales_price)@3 as web_sales]
          │           AggregateExec: mode=FinalPartitioned, gby=[ca_county@0 as ca_county, d_qoy@1 as d_qoy, d_year@2 as d_year], aggr=[sum(web_sales.ws_ext_sales_price)], ordering_mode=PartiallySorted([1, 2])
          │             [Stage 24] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 21 ── Tasks: t0:[p0..p5] t1:[p6..p11]
            │ BroadcastExec: input_partitions=3, consumer_tasks=2, output_partitions=6
            │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(ca_county@5, ca_county@0)], filter=CASE WHEN web_sales@2 > Some(0),17,2 THEN CAST(web_sales@3 AS Float64) / CAST(web_sales@2 AS Float64) END > CASE WHEN store_sales@0 > Some(0),17,2 THEN CAST(store_sales@1 AS Float64) / CAST(store_sales@0 AS Float64) END, projection=[ca_county@0, d_year@1, store_sales@2, store_sales@3, store_sales@4, ca_county@5, web_sales@6, web_sales@8]
            │     CoalescePartitionsExec
            │       [Stage 17] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=6, input_tasks=1
            │     ProjectionExec: expr=[ca_county@0 as ca_county, sum(web_sales.ws_ext_sales_price)@3 as web_sales]
            │       AggregateExec: mode=FinalPartitioned, gby=[ca_county@0 as ca_county, d_qoy@1 as d_qoy, d_year@2 as d_year], aggr=[sum(web_sales.ws_ext_sales_price)], ordering_mode=PartiallySorted([1, 2])
            │         [Stage 20] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            └──────────────────────────────────────────────────
              ┌───── Stage 17 ── Tasks: t0:[p0..p5]
              │ BroadcastExec: input_partitions=3, consumer_tasks=2, output_partitions=6
              │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(ca_county@0, ca_county@0)], projection=[ca_county@2, d_year@3, store_sales@4, store_sales@5, store_sales@6, ca_county@0, web_sales@1]
              │     CoalescePartitionsExec
              │       [Stage 4] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=3, input_tasks=2
              │     HashJoinExec: mode=Partitioned, join_type=Inner, on=[(ca_county@3, ca_county@0)], projection=[ca_county@0, d_year@1, store_sales@2, store_sales@4, store_sales@6]
              │       HashJoinExec: mode=Partitioned, join_type=Inner, on=[(ca_county@0, ca_county@0)]
              │         [Stage 8] => NetworkShuffleExec: output_partitions=3, input_tasks=2
              │         [Stage 12] => NetworkShuffleExec: output_partitions=3, input_tasks=2
              │       [Stage 16] => NetworkShuffleExec: output_partitions=3, input_tasks=2
              └──────────────────────────────────────────────────
                ┌───── Stage 4 ── Tasks: t0:[p0..p2] t1:[p3..p5]
                │ BroadcastExec: input_partitions=3, consumer_tasks=1, output_partitions=3
                │   ProjectionExec: expr=[ca_county@0 as ca_county, sum(web_sales.ws_ext_sales_price)@3 as web_sales]
                │     AggregateExec: mode=FinalPartitioned, gby=[ca_county@0 as ca_county, d_qoy@1 as d_qoy, d_year@2 as d_year], aggr=[sum(web_sales.ws_ext_sales_price)], ordering_mode=PartiallySorted([1, 2])
                │       [Stage 3] => NetworkShuffleExec: output_partitions=3, input_tasks=4
                └──────────────────────────────────────────────────
                  ┌───── Stage 3 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
                  │ RepartitionExec: partitioning=Hash([ca_county@0, d_qoy@1, d_year@2], 6), input_partitions=3
                  │   AggregateExec: mode=Partial, gby=[ca_county@3 as ca_county, d_qoy@2 as d_qoy, d_year@1 as d_year], aggr=[sum(web_sales.ws_ext_sales_price)], ordering_mode=PartiallySorted([1, 2])
                  │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(ws_bill_addr_sk@0, ca_address_sk@0)], projection=[ws_ext_sales_price@1, d_year@2, d_qoy@3, ca_county@5]
                  │       CoalescePartitionsExec
                  │         [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
                  │       RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                  │         DistributedLeafExec:
                  │           t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_county], file_type=parquet, predicate=DynamicFilter [ empty ]
                  │           t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_county], file_type=parquet, predicate=DynamicFilter [ empty ]
                  │           t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_county], file_type=parquet, predicate=DynamicFilter [ empty ]
                  │           t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_county], file_type=parquet, predicate=DynamicFilter [ empty ]
                  └──────────────────────────────────────────────────
                    ┌───── Stage 2 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                    │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                    │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ws_sold_date_sk@0)], projection=[ws_bill_addr_sk@4, ws_ext_sales_price@5, d_year@1, d_qoy@2]
                    │     CoalescePartitionsExec
                    │       [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
                    │     DistributedLeafExec:
                    │       t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_bill_addr_sk, ws_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ]
                    │       t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_bill_addr_sk, ws_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ]
                    │       t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_bill_addr_sk, ws_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ]
                    │       t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_bill_addr_sk, ws_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ]
                    └──────────────────────────────────────────────────
                      ┌───── Stage 1 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                      │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                      │   FilterExec: d_qoy@2 = 1 AND d_year@1 = 2000
                      │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                      │       DistributedLeafExec:
                      │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_qoy], file_type=parquet, predicate=d_qoy@10 = 1 AND d_year@6 = 2000, pruning_predicate=d_qoy_null_count@2 != row_count@3 AND d_qoy_min@0 <= 1 AND 1 <= d_qoy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 2000 AND 2000 <= d_year_max@5, required_guarantees=[d_qoy in (1), d_year in (2000)]
                      │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_qoy], file_type=parquet, predicate=d_qoy@10 = 1 AND d_year@6 = 2000, pruning_predicate=d_qoy_null_count@2 != row_count@3 AND d_qoy_min@0 <= 1 AND 1 <= d_qoy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 2000 AND 2000 <= d_year_max@5, required_guarantees=[d_qoy in (1), d_year in (2000)]
                      │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_qoy], file_type=parquet, predicate=d_qoy@10 = 1 AND d_year@6 = 2000, pruning_predicate=d_qoy_null_count@2 != row_count@3 AND d_qoy_min@0 <= 1 AND 1 <= d_qoy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 2000 AND 2000 <= d_year_max@5, required_guarantees=[d_qoy in (1), d_year in (2000)]
                      │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_qoy], file_type=parquet, predicate=d_qoy@10 = 1 AND d_year@6 = 2000, pruning_predicate=d_qoy_null_count@2 != row_count@3 AND d_qoy_min@0 <= 1 AND 1 <= d_qoy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 2000 AND 2000 <= d_year_max@5, required_guarantees=[d_qoy in (1), d_year in (2000)]
                      └──────────────────────────────────────────────────
                ┌───── Stage 8 ── Tasks: t0:[p0..p2] t1:[p0..p2]
                │ RepartitionExec: partitioning=Hash([ca_county@0], 3), input_partitions=3
                │   ProjectionExec: expr=[ca_county@0 as ca_county, d_year@2 as d_year, sum(store_sales.ss_ext_sales_price)@3 as store_sales]
                │     AggregateExec: mode=FinalPartitioned, gby=[ca_county@0 as ca_county, d_qoy@1 as d_qoy, d_year@2 as d_year], aggr=[sum(store_sales.ss_ext_sales_price)], ordering_mode=PartiallySorted([1, 2])
                │       [Stage 7] => NetworkShuffleExec: output_partitions=3, input_tasks=4
                └──────────────────────────────────────────────────
                  ┌───── Stage 7 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
                  │ RepartitionExec: partitioning=Hash([ca_county@0, d_qoy@1, d_year@2], 6), input_partitions=3
                  │   AggregateExec: mode=Partial, gby=[ca_county@3 as ca_county, d_qoy@2 as d_qoy, d_year@1 as d_year], aggr=[sum(store_sales.ss_ext_sales_price)], ordering_mode=PartiallySorted([1, 2])
                  │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(ca_address_sk@0, ss_addr_sk@0)], projection=[ss_ext_sales_price@3, d_year@4, d_qoy@5, ca_county@1]
                  │       CoalescePartitionsExec
                  │         [Stage 5] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
                  │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[ss_addr_sk@4, ss_ext_sales_price@5, d_year@1, d_qoy@2]
                  │         CoalescePartitionsExec
                  │           [Stage 6] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
                  │         DistributedLeafExec:
                  │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_addr_sk, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                  │           t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_addr_sk, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                  │           t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_addr_sk, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                  │           t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_addr_sk, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                  └──────────────────────────────────────────────────
                    ┌───── Stage 5 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                    │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                    │   DistributedLeafExec:
                    │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_county], file_type=parquet, predicate=DynamicFilter [ empty ]
                    │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_county], file_type=parquet, predicate=DynamicFilter [ empty ]
                    │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_county], file_type=parquet, predicate=DynamicFilter [ empty ]
                    │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_county], file_type=parquet, predicate=DynamicFilter [ empty ]
                    └──────────────────────────────────────────────────
                    ┌───── Stage 6 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                    │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                    │   FilterExec: d_qoy@2 = 1 AND d_year@1 = 2000
                    │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                    │       DistributedLeafExec:
                    │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_qoy], file_type=parquet, predicate=d_qoy@10 = 1 AND d_year@6 = 2000, pruning_predicate=d_qoy_null_count@2 != row_count@3 AND d_qoy_min@0 <= 1 AND 1 <= d_qoy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 2000 AND 2000 <= d_year_max@5, required_guarantees=[d_qoy in (1), d_year in (2000)]
                    │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_qoy], file_type=parquet, predicate=d_qoy@10 = 1 AND d_year@6 = 2000, pruning_predicate=d_qoy_null_count@2 != row_count@3 AND d_qoy_min@0 <= 1 AND 1 <= d_qoy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 2000 AND 2000 <= d_year_max@5, required_guarantees=[d_qoy in (1), d_year in (2000)]
                    │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_qoy], file_type=parquet, predicate=d_qoy@10 = 1 AND d_year@6 = 2000, pruning_predicate=d_qoy_null_count@2 != row_count@3 AND d_qoy_min@0 <= 1 AND 1 <= d_qoy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 2000 AND 2000 <= d_year_max@5, required_guarantees=[d_qoy in (1), d_year in (2000)]
                    │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_qoy], file_type=parquet, predicate=d_qoy@10 = 1 AND d_year@6 = 2000, pruning_predicate=d_qoy_null_count@2 != row_count@3 AND d_qoy_min@0 <= 1 AND 1 <= d_qoy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 2000 AND 2000 <= d_year_max@5, required_guarantees=[d_qoy in (1), d_year in (2000)]
                    └──────────────────────────────────────────────────
                ┌───── Stage 12 ── Tasks: t0:[p0..p2] t1:[p0..p2]
                │ RepartitionExec: partitioning=Hash([ca_county@0], 3), input_partitions=3
                │   ProjectionExec: expr=[ca_county@0 as ca_county, sum(store_sales.ss_ext_sales_price)@3 as store_sales]
                │     AggregateExec: mode=FinalPartitioned, gby=[ca_county@0 as ca_county, d_qoy@1 as d_qoy, d_year@2 as d_year], aggr=[sum(store_sales.ss_ext_sales_price)], ordering_mode=PartiallySorted([1, 2])
                │       [Stage 11] => NetworkShuffleExec: output_partitions=3, input_tasks=4
                └──────────────────────────────────────────────────
                  ┌───── Stage 11 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
                  │ RepartitionExec: partitioning=Hash([ca_county@0, d_qoy@1, d_year@2], 6), input_partitions=3
                  │   AggregateExec: mode=Partial, gby=[ca_county@3 as ca_county, d_qoy@2 as d_qoy, d_year@1 as d_year], aggr=[sum(store_sales.ss_ext_sales_price)], ordering_mode=PartiallySorted([1, 2])
                  │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(ca_address_sk@0, ss_addr_sk@0)], projection=[ss_ext_sales_price@3, d_year@4, d_qoy@5, ca_county@1]
                  │       CoalescePartitionsExec
                  │         [Stage 9] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
                  │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[ss_addr_sk@4, ss_ext_sales_price@5, d_year@1, d_qoy@2]
                  │         CoalescePartitionsExec
                  │           [Stage 10] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
                  │         DistributedLeafExec:
                  │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_addr_sk, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                  │           t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_addr_sk, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                  │           t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_addr_sk, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                  │           t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_addr_sk, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                  └──────────────────────────────────────────────────
                    ┌───── Stage 9 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                    │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                    │   DistributedLeafExec:
                    │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_county], file_type=parquet, predicate=DynamicFilter [ empty ]
                    │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_county], file_type=parquet, predicate=DynamicFilter [ empty ]
                    │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_county], file_type=parquet, predicate=DynamicFilter [ empty ]
                    │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_county], file_type=parquet, predicate=DynamicFilter [ empty ]
                    └──────────────────────────────────────────────────
                    ┌───── Stage 10 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                    │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                    │   FilterExec: d_qoy@2 = 2 AND d_year@1 = 2000
                    │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                    │       DistributedLeafExec:
                    │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_qoy], file_type=parquet, predicate=d_qoy@10 = 2 AND d_year@6 = 2000, pruning_predicate=d_qoy_null_count@2 != row_count@3 AND d_qoy_min@0 <= 2 AND 2 <= d_qoy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 2000 AND 2000 <= d_year_max@5, required_guarantees=[d_qoy in (2), d_year in (2000)]
                    │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_qoy], file_type=parquet, predicate=d_qoy@10 = 2 AND d_year@6 = 2000, pruning_predicate=d_qoy_null_count@2 != row_count@3 AND d_qoy_min@0 <= 2 AND 2 <= d_qoy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 2000 AND 2000 <= d_year_max@5, required_guarantees=[d_qoy in (2), d_year in (2000)]
                    │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_qoy], file_type=parquet, predicate=d_qoy@10 = 2 AND d_year@6 = 2000, pruning_predicate=d_qoy_null_count@2 != row_count@3 AND d_qoy_min@0 <= 2 AND 2 <= d_qoy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 2000 AND 2000 <= d_year_max@5, required_guarantees=[d_qoy in (2), d_year in (2000)]
                    │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_qoy], file_type=parquet, predicate=d_qoy@10 = 2 AND d_year@6 = 2000, pruning_predicate=d_qoy_null_count@2 != row_count@3 AND d_qoy_min@0 <= 2 AND 2 <= d_qoy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 2000 AND 2000 <= d_year_max@5, required_guarantees=[d_qoy in (2), d_year in (2000)]
                    └──────────────────────────────────────────────────
                ┌───── Stage 16 ── Tasks: t0:[p0..p2] t1:[p0..p2]
                │ RepartitionExec: partitioning=Hash([ca_county@0], 3), input_partitions=3
                │   ProjectionExec: expr=[ca_county@0 as ca_county, sum(store_sales.ss_ext_sales_price)@3 as store_sales]
                │     AggregateExec: mode=FinalPartitioned, gby=[ca_county@0 as ca_county, d_qoy@1 as d_qoy, d_year@2 as d_year], aggr=[sum(store_sales.ss_ext_sales_price)], ordering_mode=PartiallySorted([1, 2])
                │       [Stage 15] => NetworkShuffleExec: output_partitions=3, input_tasks=4
                └──────────────────────────────────────────────────
                  ┌───── Stage 15 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
                  │ RepartitionExec: partitioning=Hash([ca_county@0, d_qoy@1, d_year@2], 6), input_partitions=3
                  │   AggregateExec: mode=Partial, gby=[ca_county@3 as ca_county, d_qoy@2 as d_qoy, d_year@1 as d_year], aggr=[sum(store_sales.ss_ext_sales_price)], ordering_mode=PartiallySorted([1, 2])
                  │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(ca_address_sk@0, ss_addr_sk@0)], projection=[ss_ext_sales_price@3, d_year@4, d_qoy@5, ca_county@1]
                  │       CoalescePartitionsExec
                  │         [Stage 13] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
                  │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[ss_addr_sk@4, ss_ext_sales_price@5, d_year@1, d_qoy@2]
                  │         CoalescePartitionsExec
                  │           [Stage 14] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
                  │         DistributedLeafExec:
                  │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_addr_sk, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                  │           t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_addr_sk, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                  │           t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_addr_sk, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                  │           t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_addr_sk, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                  └──────────────────────────────────────────────────
                    ┌───── Stage 13 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                    │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                    │   DistributedLeafExec:
                    │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_county], file_type=parquet, predicate=DynamicFilter [ empty ]
                    │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_county], file_type=parquet, predicate=DynamicFilter [ empty ]
                    │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_county], file_type=parquet, predicate=DynamicFilter [ empty ]
                    │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_county], file_type=parquet, predicate=DynamicFilter [ empty ]
                    └──────────────────────────────────────────────────
                    ┌───── Stage 14 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                    │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                    │   FilterExec: d_qoy@2 = 3 AND d_year@1 = 2000
                    │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                    │       DistributedLeafExec:
                    │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_qoy], file_type=parquet, predicate=d_qoy@10 = 3 AND d_year@6 = 2000, pruning_predicate=d_qoy_null_count@2 != row_count@3 AND d_qoy_min@0 <= 3 AND 3 <= d_qoy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 2000 AND 2000 <= d_year_max@5, required_guarantees=[d_qoy in (3), d_year in (2000)]
                    │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_qoy], file_type=parquet, predicate=d_qoy@10 = 3 AND d_year@6 = 2000, pruning_predicate=d_qoy_null_count@2 != row_count@3 AND d_qoy_min@0 <= 3 AND 3 <= d_qoy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 2000 AND 2000 <= d_year_max@5, required_guarantees=[d_qoy in (3), d_year in (2000)]
                    │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_qoy], file_type=parquet, predicate=d_qoy@10 = 3 AND d_year@6 = 2000, pruning_predicate=d_qoy_null_count@2 != row_count@3 AND d_qoy_min@0 <= 3 AND 3 <= d_qoy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 2000 AND 2000 <= d_year_max@5, required_guarantees=[d_qoy in (3), d_year in (2000)]
                    │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_qoy], file_type=parquet, predicate=d_qoy@10 = 3 AND d_year@6 = 2000, pruning_predicate=d_qoy_null_count@2 != row_count@3 AND d_qoy_min@0 <= 3 AND 3 <= d_qoy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 2000 AND 2000 <= d_year_max@5, required_guarantees=[d_qoy in (3), d_year in (2000)]
                    └──────────────────────────────────────────────────
              ┌───── Stage 20 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
              │ RepartitionExec: partitioning=Hash([ca_county@0, d_qoy@1, d_year@2], 6), input_partitions=3
              │   AggregateExec: mode=Partial, gby=[ca_county@3 as ca_county, d_qoy@2 as d_qoy, d_year@1 as d_year], aggr=[sum(web_sales.ws_ext_sales_price)], ordering_mode=PartiallySorted([1, 2])
              │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(ws_bill_addr_sk@0, ca_address_sk@0)], projection=[ws_ext_sales_price@1, d_year@2, d_qoy@3, ca_county@5]
              │       CoalescePartitionsExec
              │         [Stage 19] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
              │       RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │         DistributedLeafExec:
              │           t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_county], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │           t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_county], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │           t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_county], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │           t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_county], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
                ┌───── Stage 19 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ws_sold_date_sk@0)], projection=[ws_bill_addr_sk@4, ws_ext_sales_price@5, d_year@1, d_qoy@2]
                │     CoalescePartitionsExec
                │       [Stage 18] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
                │     DistributedLeafExec:
                │       t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_bill_addr_sk, ws_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ]
                │       t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_bill_addr_sk, ws_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ]
                │       t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_bill_addr_sk, ws_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ]
                │       t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_bill_addr_sk, ws_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ]
                └──────────────────────────────────────────────────
                  ┌───── Stage 18 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                  │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                  │   FilterExec: d_qoy@2 = 2 AND d_year@1 = 2000
                  │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                  │       DistributedLeafExec:
                  │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_qoy], file_type=parquet, predicate=d_qoy@10 = 2 AND d_year@6 = 2000, pruning_predicate=d_qoy_null_count@2 != row_count@3 AND d_qoy_min@0 <= 2 AND 2 <= d_qoy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 2000 AND 2000 <= d_year_max@5, required_guarantees=[d_qoy in (2), d_year in (2000)]
                  │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_qoy], file_type=parquet, predicate=d_qoy@10 = 2 AND d_year@6 = 2000, pruning_predicate=d_qoy_null_count@2 != row_count@3 AND d_qoy_min@0 <= 2 AND 2 <= d_qoy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 2000 AND 2000 <= d_year_max@5, required_guarantees=[d_qoy in (2), d_year in (2000)]
                  │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_qoy], file_type=parquet, predicate=d_qoy@10 = 2 AND d_year@6 = 2000, pruning_predicate=d_qoy_null_count@2 != row_count@3 AND d_qoy_min@0 <= 2 AND 2 <= d_qoy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 2000 AND 2000 <= d_year_max@5, required_guarantees=[d_qoy in (2), d_year in (2000)]
                  │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_qoy], file_type=parquet, predicate=d_qoy@10 = 2 AND d_year@6 = 2000, pruning_predicate=d_qoy_null_count@2 != row_count@3 AND d_qoy_min@0 <= 2 AND 2 <= d_qoy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 2000 AND 2000 <= d_year_max@5, required_guarantees=[d_qoy in (2), d_year in (2000)]
                  └──────────────────────────────────────────────────
            ┌───── Stage 24 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([ca_county@0, d_qoy@1, d_year@2], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[ca_county@3 as ca_county, d_qoy@2 as d_qoy, d_year@1 as d_year], aggr=[sum(web_sales.ws_ext_sales_price)], ordering_mode=PartiallySorted([1, 2])
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(ws_bill_addr_sk@0, ca_address_sk@0)], projection=[ws_ext_sales_price@1, d_year@2, d_qoy@3, ca_county@5]
            │       CoalescePartitionsExec
            │         [Stage 23] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │       RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │         DistributedLeafExec:
            │           t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_county], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_county], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_county], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_county], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 23 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ws_sold_date_sk@0)], projection=[ws_bill_addr_sk@4, ws_ext_sales_price@5, d_year@1, d_qoy@2]
              │     CoalescePartitionsExec
              │       [Stage 22] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
              │     DistributedLeafExec:
              │       t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_bill_addr_sk, ws_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ]
              │       t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_bill_addr_sk, ws_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ]
              │       t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_bill_addr_sk, ws_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ]
              │       t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_bill_addr_sk, ws_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
                ┌───── Stage 22 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                │   FilterExec: d_qoy@2 = 3 AND d_year@1 = 2000
                │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_qoy], file_type=parquet, predicate=d_qoy@10 = 3 AND d_year@6 = 2000, pruning_predicate=d_qoy_null_count@2 != row_count@3 AND d_qoy_min@0 <= 3 AND 3 <= d_qoy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 2000 AND 2000 <= d_year_max@5, required_guarantees=[d_qoy in (3), d_year in (2000)]
                │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_qoy], file_type=parquet, predicate=d_qoy@10 = 3 AND d_year@6 = 2000, pruning_predicate=d_qoy_null_count@2 != row_count@3 AND d_qoy_min@0 <= 3 AND 3 <= d_qoy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 2000 AND 2000 <= d_year_max@5, required_guarantees=[d_qoy in (3), d_year in (2000)]
                │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_qoy], file_type=parquet, predicate=d_qoy@10 = 3 AND d_year@6 = 2000, pruning_predicate=d_qoy_null_count@2 != row_count@3 AND d_qoy_min@0 <= 3 AND 3 <= d_qoy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 2000 AND 2000 <= d_year_max@5, required_guarantees=[d_qoy in (3), d_year in (2000)]
                │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_qoy], file_type=parquet, predicate=d_qoy@10 = 3 AND d_year@6 = 2000, pruning_predicate=d_qoy_null_count@2 != row_count@3 AND d_qoy_min@0 <= 3 AND 3 <= d_qoy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 2000 AND 2000 <= d_year_max@5, required_guarantees=[d_qoy in (3), d_year in (2000)]
                └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_32() -> Result<()> {
        let display = test_tpcds_query("q32").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ ProjectionExec: expr=[sum(catalog_sales.cs_ext_discount_amt)@0 as excess discount amount]
        │   GlobalLimitExec: skip=0, fetch=100
        │     AggregateExec: mode=Final, gby=[], aggr=[sum(catalog_sales.cs_ext_discount_amt)]
        │       CoalescePartitionsExec
        │         [Stage 6] => NetworkCoalesceExec: output_partitions=12, input_tasks=4
        └──────────────────────────────────────────────────
          ┌───── Stage 6 ── Tasks: t0:[p0..p2] t1:[p0..p2] t2:[p0..p2] t3:[p0..p2]
          │ AggregateExec: mode=Partial, gby=[], aggr=[sum(catalog_sales.cs_ext_discount_amt)]
          │   HashJoinExec: mode=Partitioned, join_type=Inner, on=[(i_item_sk@1, cs_item_sk@1)], filter=CAST(cs_ext_discount_amt@0 AS Decimal128(30, 15)) > Float64(1.3) * avg(catalog_sales.cs_ext_discount_amt)@1, projection=[cs_ext_discount_amt@0]
          │     [Stage 3] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          │     ProjectionExec: expr=[CAST(1.3 * CAST(avg(catalog_sales.cs_ext_discount_amt)@1 AS Float64) AS Decimal128(30, 15)) as Float64(1.3) * avg(catalog_sales.cs_ext_discount_amt), cs_item_sk@0 as cs_item_sk]
          │       AggregateExec: mode=FinalPartitioned, gby=[cs_item_sk@0 as cs_item_sk], aggr=[avg(catalog_sales.cs_ext_discount_amt)]
          │         [Stage 5] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 3 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
            │ RepartitionExec: partitioning=Hash([i_item_sk@1], 12), input_partitions=3
            │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, cs_sold_date_sk@0)], projection=[cs_ext_discount_amt@2, i_item_sk@3]
            │     CoalescePartitionsExec
            │       [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, cs_item_sk@1)], projection=[cs_sold_date_sk@1, cs_ext_discount_amt@3, i_item_sk@0]
            │       CoalescePartitionsExec
            │         [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_item_sk, cs_ext_discount_amt], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │         t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_item_sk, cs_ext_discount_amt], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │         t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_item_sk, cs_ext_discount_amt], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │         t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_item_sk, cs_ext_discount_amt], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 1 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_date@1 >= 2000-01-27 AND d_date@1 <= 2000-04-26, projection=[d_date_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-01-27 AND d_date@2 <= 2000-04-26, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-01-27 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-04-26, required_guarantees=[]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-01-27 AND d_date@2 <= 2000-04-26, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-01-27 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-04-26, required_guarantees=[]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-01-27 AND d_date@2 <= 2000-04-26, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-01-27 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-04-26, required_guarantees=[]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-01-27 AND d_date@2 <= 2000-04-26, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-01-27 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-04-26, required_guarantees=[]
              └──────────────────────────────────────────────────
              ┌───── Stage 2 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: i_manufact_id@1 = 977, projection=[i_item_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_manufact_id], file_type=parquet, predicate=i_manufact_id@13 = 977, pruning_predicate=i_manufact_id_null_count@2 != row_count@3 AND i_manufact_id_min@0 <= 977 AND 977 <= i_manufact_id_max@1, required_guarantees=[i_manufact_id in (977)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_manufact_id], file_type=parquet, predicate=i_manufact_id@13 = 977, pruning_predicate=i_manufact_id_null_count@2 != row_count@3 AND i_manufact_id_min@0 <= 977 AND 977 <= i_manufact_id_max@1, required_guarantees=[i_manufact_id in (977)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_manufact_id], file_type=parquet, predicate=i_manufact_id@13 = 977, pruning_predicate=i_manufact_id_null_count@2 != row_count@3 AND i_manufact_id_min@0 <= 977 AND 977 <= i_manufact_id_max@1, required_guarantees=[i_manufact_id in (977)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_manufact_id], file_type=parquet, predicate=i_manufact_id@13 = 977, pruning_predicate=i_manufact_id_null_count@2 != row_count@3 AND i_manufact_id_min@0 <= 977 AND 977 <= i_manufact_id_max@1, required_guarantees=[i_manufact_id in (977)]
              └──────────────────────────────────────────────────
            ┌───── Stage 5 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
            │ RepartitionExec: partitioning=Hash([cs_item_sk@0], 12), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[cs_item_sk@0 as cs_item_sk], aggr=[avg(catalog_sales.cs_ext_discount_amt)]
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, cs_sold_date_sk@0)], projection=[cs_item_sk@2, cs_ext_discount_amt@3]
            │       CoalescePartitionsExec
            │         [Stage 4] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_item_sk, cs_ext_discount_amt], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │         t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_item_sk, cs_ext_discount_amt], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │         t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_item_sk, cs_ext_discount_amt], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │         t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_item_sk, cs_ext_discount_amt], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 4 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_date@1 >= 2000-01-27 AND d_date@1 <= 2000-04-26, projection=[d_date_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-01-27 AND d_date@2 <= 2000-04-26, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-01-27 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-04-26, required_guarantees=[]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-01-27 AND d_date@2 <= 2000-04-26, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-01-27 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-04-26, required_guarantees=[]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-01-27 AND d_date@2 <= 2000-04-26, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-01-27 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-04-26, required_guarantees=[]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-01-27 AND d_date@2 <= 2000-04-26, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-01-27 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-04-26, required_guarantees=[]
              └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_33() -> Result<()> {
        let display = test_tpcds_query("q33").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [total_sales@1 ASC NULLS LAST], fetch=100
        │   [Stage 16] => NetworkCoalesceExec: output_partitions=6, input_tasks=2
        └──────────────────────────────────────────────────
          ┌───── Stage 16 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ SortExec: TopK(fetch=100), expr=[total_sales@1 ASC NULLS LAST], preserve_partitioning=[true]
          │   ProjectionExec: expr=[i_manufact_id@0 as i_manufact_id, sum(tmp1.total_sales)@1 as total_sales]
          │     AggregateExec: mode=SinglePartitioned, gby=[i_manufact_id@0 as i_manufact_id], aggr=[sum(tmp1.total_sales)]
          │       InterleaveExec
          │         ProjectionExec: expr=[i_manufact_id@0 as i_manufact_id, sum(store_sales.ss_ext_sales_price)@1 as total_sales]
          │           AggregateExec: mode=FinalPartitioned, gby=[i_manufact_id@0 as i_manufact_id], aggr=[sum(store_sales.ss_ext_sales_price)]
          │             [Stage 5] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          │         ProjectionExec: expr=[i_manufact_id@0 as i_manufact_id, sum(catalog_sales.cs_ext_sales_price)@1 as total_sales]
          │           AggregateExec: mode=FinalPartitioned, gby=[i_manufact_id@0 as i_manufact_id], aggr=[sum(catalog_sales.cs_ext_sales_price)]
          │             [Stage 10] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          │         ProjectionExec: expr=[i_manufact_id@0 as i_manufact_id, sum(web_sales.ws_ext_sales_price)@1 as total_sales]
          │           AggregateExec: mode=FinalPartitioned, gby=[i_manufact_id@0 as i_manufact_id], aggr=[sum(web_sales.ws_ext_sales_price)]
          │             [Stage 15] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 5 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([i_manufact_id@0], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[i_manufact_id@1 as i_manufact_id], aggr=[sum(store_sales.ss_ext_sales_price)]
            │     HashJoinExec: mode=CollectLeft, join_type=RightSemi, on=[(i_manufact_id@0, i_manufact_id@1)]
            │       CoalescePartitionsExec
            │         [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, ss_item_sk@0)], projection=[ss_ext_sales_price@3, i_manufact_id@1]
            │         CoalescePartitionsExec
            │           [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(ca_address_sk@0, ss_addr_sk@1)], projection=[ss_item_sk@1, ss_ext_sales_price@3]
            │           CoalescePartitionsExec
            │             [Stage 3] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │           HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[ss_item_sk@2, ss_addr_sk@3, ss_ext_sales_price@4]
            │             CoalescePartitionsExec
            │               [Stage 4] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │             DistributedLeafExec:
            │               t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_addr_sk, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │               t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_addr_sk, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │               t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_addr_sk, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │               t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_addr_sk, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 1 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: i_category@0 = Electronics, projection=[i_manufact_id@1]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_category, i_manufact_id], file_type=parquet, predicate=i_category@12 = Electronics, pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Electronics AND Electronics <= i_category_max@1, required_guarantees=[i_category in (Electronics)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_category, i_manufact_id], file_type=parquet, predicate=i_category@12 = Electronics, pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Electronics AND Electronics <= i_category_max@1, required_guarantees=[i_category in (Electronics)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_category, i_manufact_id], file_type=parquet, predicate=i_category@12 = Electronics, pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Electronics AND Electronics <= i_category_max@1, required_guarantees=[i_category in (Electronics)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_category, i_manufact_id], file_type=parquet, predicate=i_category@12 = Electronics, pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Electronics AND Electronics <= i_category_max@1, required_guarantees=[i_category in (Electronics)]
              └──────────────────────────────────────────────────
              ┌───── Stage 2 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_manufact_id], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_manufact_id], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_manufact_id], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_manufact_id], file_type=parquet, predicate=DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
              ┌───── Stage 3 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: ca_gmt_offset@1 = Some(-500),5,2, projection=[ca_address_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_gmt_offset], file_type=parquet, predicate=ca_gmt_offset@11 = Some(-500),5,2, pruning_predicate=ca_gmt_offset_null_count@2 != row_count@3 AND ca_gmt_offset_min@0 <= Some(-500),5,2 AND Some(-500),5,2 <= ca_gmt_offset_max@1, required_guarantees=[ca_gmt_offset in (Some(-500),5,2)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_gmt_offset], file_type=parquet, predicate=ca_gmt_offset@11 = Some(-500),5,2, pruning_predicate=ca_gmt_offset_null_count@2 != row_count@3 AND ca_gmt_offset_min@0 <= Some(-500),5,2 AND Some(-500),5,2 <= ca_gmt_offset_max@1, required_guarantees=[ca_gmt_offset in (Some(-500),5,2)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_gmt_offset], file_type=parquet, predicate=ca_gmt_offset@11 = Some(-500),5,2, pruning_predicate=ca_gmt_offset_null_count@2 != row_count@3 AND ca_gmt_offset_min@0 <= Some(-500),5,2 AND Some(-500),5,2 <= ca_gmt_offset_max@1, required_guarantees=[ca_gmt_offset in (Some(-500),5,2)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_gmt_offset], file_type=parquet, predicate=ca_gmt_offset@11 = Some(-500),5,2, pruning_predicate=ca_gmt_offset_null_count@2 != row_count@3 AND ca_gmt_offset_min@0 <= Some(-500),5,2 AND Some(-500),5,2 <= ca_gmt_offset_max@1, required_guarantees=[ca_gmt_offset in (Some(-500),5,2)]
              └──────────────────────────────────────────────────
              ┌───── Stage 4 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_year@1 = 1998 AND d_moy@2 = 5, projection=[d_date_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1998 AND d_moy@8 = 5, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 5 AND 5 <= d_moy_max@5, required_guarantees=[d_moy in (5), d_year in (1998)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1998 AND d_moy@8 = 5, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 5 AND 5 <= d_moy_max@5, required_guarantees=[d_moy in (5), d_year in (1998)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1998 AND d_moy@8 = 5, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 5 AND 5 <= d_moy_max@5, required_guarantees=[d_moy in (5), d_year in (1998)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1998 AND d_moy@8 = 5, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 5 AND 5 <= d_moy_max@5, required_guarantees=[d_moy in (5), d_year in (1998)]
              └──────────────────────────────────────────────────
            ┌───── Stage 10 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([i_manufact_id@0], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[i_manufact_id@1 as i_manufact_id], aggr=[sum(catalog_sales.cs_ext_sales_price)]
            │     HashJoinExec: mode=CollectLeft, join_type=RightSemi, on=[(i_manufact_id@0, i_manufact_id@1)]
            │       CoalescePartitionsExec
            │         [Stage 6] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, cs_item_sk@0)], projection=[cs_ext_sales_price@3, i_manufact_id@1]
            │         CoalescePartitionsExec
            │           [Stage 7] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(ca_address_sk@0, cs_bill_addr_sk@0)], projection=[cs_item_sk@2, cs_ext_sales_price@3]
            │           CoalescePartitionsExec
            │             [Stage 8] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │           HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, cs_sold_date_sk@0)], projection=[cs_bill_addr_sk@2, cs_item_sk@3, cs_ext_sales_price@4]
            │             CoalescePartitionsExec
            │               [Stage 9] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │             DistributedLeafExec:
            │               t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_bill_addr_sk, cs_item_sk, cs_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │               t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_bill_addr_sk, cs_item_sk, cs_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │               t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_bill_addr_sk, cs_item_sk, cs_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │               t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_bill_addr_sk, cs_item_sk, cs_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 6 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: i_category@0 = Electronics, projection=[i_manufact_id@1]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_category, i_manufact_id], file_type=parquet, predicate=i_category@12 = Electronics, pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Electronics AND Electronics <= i_category_max@1, required_guarantees=[i_category in (Electronics)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_category, i_manufact_id], file_type=parquet, predicate=i_category@12 = Electronics, pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Electronics AND Electronics <= i_category_max@1, required_guarantees=[i_category in (Electronics)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_category, i_manufact_id], file_type=parquet, predicate=i_category@12 = Electronics, pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Electronics AND Electronics <= i_category_max@1, required_guarantees=[i_category in (Electronics)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_category, i_manufact_id], file_type=parquet, predicate=i_category@12 = Electronics, pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Electronics AND Electronics <= i_category_max@1, required_guarantees=[i_category in (Electronics)]
              └──────────────────────────────────────────────────
              ┌───── Stage 7 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_manufact_id], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_manufact_id], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_manufact_id], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_manufact_id], file_type=parquet, predicate=DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
              ┌───── Stage 8 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: ca_gmt_offset@1 = Some(-500),5,2, projection=[ca_address_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_gmt_offset], file_type=parquet, predicate=ca_gmt_offset@11 = Some(-500),5,2, pruning_predicate=ca_gmt_offset_null_count@2 != row_count@3 AND ca_gmt_offset_min@0 <= Some(-500),5,2 AND Some(-500),5,2 <= ca_gmt_offset_max@1, required_guarantees=[ca_gmt_offset in (Some(-500),5,2)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_gmt_offset], file_type=parquet, predicate=ca_gmt_offset@11 = Some(-500),5,2, pruning_predicate=ca_gmt_offset_null_count@2 != row_count@3 AND ca_gmt_offset_min@0 <= Some(-500),5,2 AND Some(-500),5,2 <= ca_gmt_offset_max@1, required_guarantees=[ca_gmt_offset in (Some(-500),5,2)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_gmt_offset], file_type=parquet, predicate=ca_gmt_offset@11 = Some(-500),5,2, pruning_predicate=ca_gmt_offset_null_count@2 != row_count@3 AND ca_gmt_offset_min@0 <= Some(-500),5,2 AND Some(-500),5,2 <= ca_gmt_offset_max@1, required_guarantees=[ca_gmt_offset in (Some(-500),5,2)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_gmt_offset], file_type=parquet, predicate=ca_gmt_offset@11 = Some(-500),5,2, pruning_predicate=ca_gmt_offset_null_count@2 != row_count@3 AND ca_gmt_offset_min@0 <= Some(-500),5,2 AND Some(-500),5,2 <= ca_gmt_offset_max@1, required_guarantees=[ca_gmt_offset in (Some(-500),5,2)]
              └──────────────────────────────────────────────────
              ┌───── Stage 9 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_year@1 = 1998 AND d_moy@2 = 5, projection=[d_date_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1998 AND d_moy@8 = 5, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 5 AND 5 <= d_moy_max@5, required_guarantees=[d_moy in (5), d_year in (1998)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1998 AND d_moy@8 = 5, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 5 AND 5 <= d_moy_max@5, required_guarantees=[d_moy in (5), d_year in (1998)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1998 AND d_moy@8 = 5, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 5 AND 5 <= d_moy_max@5, required_guarantees=[d_moy in (5), d_year in (1998)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1998 AND d_moy@8 = 5, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 5 AND 5 <= d_moy_max@5, required_guarantees=[d_moy in (5), d_year in (1998)]
              └──────────────────────────────────────────────────
            ┌───── Stage 15 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([i_manufact_id@0], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[i_manufact_id@1 as i_manufact_id], aggr=[sum(web_sales.ws_ext_sales_price)]
            │     HashJoinExec: mode=CollectLeft, join_type=RightSemi, on=[(i_manufact_id@0, i_manufact_id@1)]
            │       CoalescePartitionsExec
            │         [Stage 11] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, ws_item_sk@0)], projection=[ws_ext_sales_price@3, i_manufact_id@1]
            │         CoalescePartitionsExec
            │           [Stage 12] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(ca_address_sk@0, ws_bill_addr_sk@1)], projection=[ws_item_sk@1, ws_ext_sales_price@3]
            │           CoalescePartitionsExec
            │             [Stage 13] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │           HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ws_sold_date_sk@0)], projection=[ws_item_sk@2, ws_bill_addr_sk@3, ws_ext_sales_price@4]
            │             CoalescePartitionsExec
            │               [Stage 14] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │             DistributedLeafExec:
            │               t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_bill_addr_sk, ws_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │               t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_bill_addr_sk, ws_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │               t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_bill_addr_sk, ws_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │               t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_bill_addr_sk, ws_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 11 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: i_category@0 = Electronics, projection=[i_manufact_id@1]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_category, i_manufact_id], file_type=parquet, predicate=i_category@12 = Electronics, pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Electronics AND Electronics <= i_category_max@1, required_guarantees=[i_category in (Electronics)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_category, i_manufact_id], file_type=parquet, predicate=i_category@12 = Electronics, pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Electronics AND Electronics <= i_category_max@1, required_guarantees=[i_category in (Electronics)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_category, i_manufact_id], file_type=parquet, predicate=i_category@12 = Electronics, pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Electronics AND Electronics <= i_category_max@1, required_guarantees=[i_category in (Electronics)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_category, i_manufact_id], file_type=parquet, predicate=i_category@12 = Electronics, pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Electronics AND Electronics <= i_category_max@1, required_guarantees=[i_category in (Electronics)]
              └──────────────────────────────────────────────────
              ┌───── Stage 12 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_manufact_id], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_manufact_id], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_manufact_id], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_manufact_id], file_type=parquet, predicate=DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
              ┌───── Stage 13 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: ca_gmt_offset@1 = Some(-500),5,2, projection=[ca_address_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_gmt_offset], file_type=parquet, predicate=ca_gmt_offset@11 = Some(-500),5,2, pruning_predicate=ca_gmt_offset_null_count@2 != row_count@3 AND ca_gmt_offset_min@0 <= Some(-500),5,2 AND Some(-500),5,2 <= ca_gmt_offset_max@1, required_guarantees=[ca_gmt_offset in (Some(-500),5,2)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_gmt_offset], file_type=parquet, predicate=ca_gmt_offset@11 = Some(-500),5,2, pruning_predicate=ca_gmt_offset_null_count@2 != row_count@3 AND ca_gmt_offset_min@0 <= Some(-500),5,2 AND Some(-500),5,2 <= ca_gmt_offset_max@1, required_guarantees=[ca_gmt_offset in (Some(-500),5,2)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_gmt_offset], file_type=parquet, predicate=ca_gmt_offset@11 = Some(-500),5,2, pruning_predicate=ca_gmt_offset_null_count@2 != row_count@3 AND ca_gmt_offset_min@0 <= Some(-500),5,2 AND Some(-500),5,2 <= ca_gmt_offset_max@1, required_guarantees=[ca_gmt_offset in (Some(-500),5,2)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_gmt_offset], file_type=parquet, predicate=ca_gmt_offset@11 = Some(-500),5,2, pruning_predicate=ca_gmt_offset_null_count@2 != row_count@3 AND ca_gmt_offset_min@0 <= Some(-500),5,2 AND Some(-500),5,2 <= ca_gmt_offset_max@1, required_guarantees=[ca_gmt_offset in (Some(-500),5,2)]
              └──────────────────────────────────────────────────
              ┌───── Stage 14 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_year@1 = 1998 AND d_moy@2 = 5, projection=[d_date_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1998 AND d_moy@8 = 5, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 5 AND 5 <= d_moy_max@5, required_guarantees=[d_moy in (5), d_year in (1998)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1998 AND d_moy@8 = 5, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 5 AND 5 <= d_moy_max@5, required_guarantees=[d_moy in (5), d_year in (1998)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1998 AND d_moy@8 = 5, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 5 AND 5 <= d_moy_max@5, required_guarantees=[d_moy in (5), d_year in (1998)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1998 AND d_moy@8 = 5, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 5 AND 5 <= d_moy_max@5, required_guarantees=[d_moy in (5), d_year in (1998)]
              └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_34() -> Result<()> {
        let display = test_tpcds_query("q34").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [c_last_name@0 ASC, c_first_name@1 ASC, c_salutation@2 ASC, c_preferred_cust_flag@3 DESC, ss_ticket_number@4 ASC]
        │   [Stage 6] => NetworkCoalesceExec: output_partitions=12, input_tasks=4
        └──────────────────────────────────────────────────
          ┌───── Stage 6 ── Tasks: t0:[p0..p2] t1:[p0..p2] t2:[p0..p2] t3:[p0..p2]
          │ SortExec: expr=[c_last_name@0 ASC, c_first_name@1 ASC, c_salutation@2 ASC, c_preferred_cust_flag@3 DESC, ss_ticket_number@4 ASC], preserve_partitioning=[true]
          │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(c_customer_sk@0, ss_customer_sk@1)], projection=[c_last_name@3, c_first_name@2, c_salutation@1, c_preferred_cust_flag@4, ss_ticket_number@5, cnt@7]
          │     CoalescePartitionsExec
          │       [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
          │     ProjectionExec: expr=[ss_ticket_number@0 as ss_ticket_number, ss_customer_sk@1 as ss_customer_sk, count(Int64(1))@2 as cnt]
          │       FilterExec: count(Int64(1))@2 >= 15 AND count(Int64(1))@2 <= 20
          │         AggregateExec: mode=FinalPartitioned, gby=[ss_ticket_number@0 as ss_ticket_number, ss_customer_sk@1 as ss_customer_sk], aggr=[count(Int64(1))]
          │           [Stage 5] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 1 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
            │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
            │   DistributedLeafExec:
            │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_salutation, c_first_name, c_last_name, c_preferred_cust_flag], file_type=parquet
            │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_salutation, c_first_name, c_last_name, c_preferred_cust_flag], file_type=parquet
            │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_salutation, c_first_name, c_last_name, c_preferred_cust_flag], file_type=parquet
            │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_salutation, c_first_name, c_last_name, c_preferred_cust_flag], file_type=parquet
            └──────────────────────────────────────────────────
            ┌───── Stage 5 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
            │ RepartitionExec: partitioning=Hash([ss_ticket_number@0, ss_customer_sk@1], 12), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[ss_ticket_number@1 as ss_ticket_number, ss_customer_sk@0 as ss_customer_sk], aggr=[count(Int64(1))]
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(hd_demo_sk@0, ss_hdemo_sk@1)], projection=[ss_customer_sk@1, ss_ticket_number@3]
            │       CoalescePartitionsExec
            │         [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(s_store_sk@0, ss_store_sk@2)], projection=[ss_customer_sk@1, ss_hdemo_sk@2, ss_ticket_number@4]
            │         CoalescePartitionsExec
            │           [Stage 3] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[ss_customer_sk@2, ss_hdemo_sk@3, ss_store_sk@4, ss_ticket_number@5]
            │           CoalescePartitionsExec
            │             [Stage 4] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │           DistributedLeafExec:
            │             t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_customer_sk, ss_hdemo_sk, ss_store_sk, ss_ticket_number], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_customer_sk, ss_hdemo_sk, ss_store_sk, ss_ticket_number], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_customer_sk, ss_hdemo_sk, ss_store_sk, ss_ticket_number], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_customer_sk, ss_hdemo_sk, ss_store_sk, ss_ticket_number], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 2 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: (hd_buy_potential@1 = >10000 OR hd_buy_potential@1 = Unknown) AND hd_vehicle_count@3 > 0 AND CASE WHEN hd_vehicle_count@3 > 0 THEN CAST(hd_dep_count@2 AS Float64) / CAST(hd_vehicle_count@3 AS Float64) END > 1.2, projection=[hd_demo_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_buy_potential, hd_dep_count, hd_vehicle_count], file_type=parquet, predicate=(hd_buy_potential@2 = >10000 OR hd_buy_potential@2 = Unknown) AND hd_vehicle_count@4 > 0 AND CASE WHEN hd_vehicle_count@4 > 0 THEN CAST(hd_dep_count@3 AS Float64) / CAST(hd_vehicle_count@4 AS Float64) END > 1.2, pruning_predicate=(hd_buy_potential_null_count@2 != row_count@3 AND hd_buy_potential_min@0 <= >10000 AND >10000 <= hd_buy_potential_max@1 OR hd_buy_potential_null_count@2 != row_count@3 AND hd_buy_potential_min@0 <= Unknown AND Unknown <= hd_buy_potential_max@1) AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_max@4 > 0, required_guarantees=[hd_buy_potential in (>10000, Unknown)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_buy_potential, hd_dep_count, hd_vehicle_count], file_type=parquet, predicate=(hd_buy_potential@2 = >10000 OR hd_buy_potential@2 = Unknown) AND hd_vehicle_count@4 > 0 AND CASE WHEN hd_vehicle_count@4 > 0 THEN CAST(hd_dep_count@3 AS Float64) / CAST(hd_vehicle_count@4 AS Float64) END > 1.2, pruning_predicate=(hd_buy_potential_null_count@2 != row_count@3 AND hd_buy_potential_min@0 <= >10000 AND >10000 <= hd_buy_potential_max@1 OR hd_buy_potential_null_count@2 != row_count@3 AND hd_buy_potential_min@0 <= Unknown AND Unknown <= hd_buy_potential_max@1) AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_max@4 > 0, required_guarantees=[hd_buy_potential in (>10000, Unknown)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_buy_potential, hd_dep_count, hd_vehicle_count], file_type=parquet, predicate=(hd_buy_potential@2 = >10000 OR hd_buy_potential@2 = Unknown) AND hd_vehicle_count@4 > 0 AND CASE WHEN hd_vehicle_count@4 > 0 THEN CAST(hd_dep_count@3 AS Float64) / CAST(hd_vehicle_count@4 AS Float64) END > 1.2, pruning_predicate=(hd_buy_potential_null_count@2 != row_count@3 AND hd_buy_potential_min@0 <= >10000 AND >10000 <= hd_buy_potential_max@1 OR hd_buy_potential_null_count@2 != row_count@3 AND hd_buy_potential_min@0 <= Unknown AND Unknown <= hd_buy_potential_max@1) AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_max@4 > 0, required_guarantees=[hd_buy_potential in (>10000, Unknown)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-3.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_buy_potential, hd_dep_count, hd_vehicle_count], file_type=parquet, predicate=(hd_buy_potential@2 = >10000 OR hd_buy_potential@2 = Unknown) AND hd_vehicle_count@4 > 0 AND CASE WHEN hd_vehicle_count@4 > 0 THEN CAST(hd_dep_count@3 AS Float64) / CAST(hd_vehicle_count@4 AS Float64) END > 1.2, pruning_predicate=(hd_buy_potential_null_count@2 != row_count@3 AND hd_buy_potential_min@0 <= >10000 AND >10000 <= hd_buy_potential_max@1 OR hd_buy_potential_null_count@2 != row_count@3 AND hd_buy_potential_min@0 <= Unknown AND Unknown <= hd_buy_potential_max@1) AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_max@4 > 0, required_guarantees=[hd_buy_potential in (>10000, Unknown)]
              └──────────────────────────────────────────────────
              ┌───── Stage 3 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: s_county@1 = Williamson County, projection=[s_store_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>]]}, projection=[s_store_sk, s_county], file_type=parquet, predicate=s_county@23 = Williamson County, pruning_predicate=s_county_null_count@2 != row_count@3 AND s_county_min@0 <= Williamson County AND Williamson County <= s_county_max@1, required_guarantees=[s_county in (Williamson County)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>]]}, projection=[s_store_sk, s_county], file_type=parquet, predicate=s_county@23 = Williamson County, pruning_predicate=s_county_null_count@2 != row_count@3 AND s_county_min@0 <= Williamson County AND Williamson County <= s_county_max@1, required_guarantees=[s_county in (Williamson County)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_county], file_type=parquet, predicate=s_county@23 = Williamson County, pruning_predicate=s_county_null_count@2 != row_count@3 AND s_county_min@0 <= Williamson County AND Williamson County <= s_county_max@1, required_guarantees=[s_county in (Williamson County)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_county], file_type=parquet, predicate=s_county@23 = Williamson County, pruning_predicate=s_county_null_count@2 != row_count@3 AND s_county_min@0 <= Williamson County AND Williamson County <= s_county_max@1, required_guarantees=[s_county in (Williamson County)]
              └──────────────────────────────────────────────────
              ┌───── Stage 4 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: (d_dom@2 >= 1 AND d_dom@2 <= 3 OR d_dom@2 >= 25 AND d_dom@2 <= 28) AND (d_year@1 = 1999 OR d_year@1 = 2000 OR d_year@1 = 2001), projection=[d_date_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_dom], file_type=parquet, predicate=(d_dom@9 >= 1 AND d_dom@9 <= 3 OR d_dom@9 >= 25 AND d_dom@9 <= 28) AND (d_year@6 = 1999 OR d_year@6 = 2000 OR d_year@6 = 2001), pruning_predicate=(d_dom_null_count@1 != row_count@2 AND d_dom_max@0 >= 1 AND d_dom_null_count@1 != row_count@2 AND d_dom_min@3 <= 3 OR d_dom_null_count@1 != row_count@2 AND d_dom_max@0 >= 25 AND d_dom_null_count@1 != row_count@2 AND d_dom_min@3 <= 28) AND (d_year_null_count@6 != row_count@2 AND d_year_min@4 <= 1999 AND 1999 <= d_year_max@5 OR d_year_null_count@6 != row_count@2 AND d_year_min@4 <= 2000 AND 2000 <= d_year_max@5 OR d_year_null_count@6 != row_count@2 AND d_year_min@4 <= 2001 AND 2001 <= d_year_max@5), required_guarantees=[d_year in (1999, 2000, 2001)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_dom], file_type=parquet, predicate=(d_dom@9 >= 1 AND d_dom@9 <= 3 OR d_dom@9 >= 25 AND d_dom@9 <= 28) AND (d_year@6 = 1999 OR d_year@6 = 2000 OR d_year@6 = 2001), pruning_predicate=(d_dom_null_count@1 != row_count@2 AND d_dom_max@0 >= 1 AND d_dom_null_count@1 != row_count@2 AND d_dom_min@3 <= 3 OR d_dom_null_count@1 != row_count@2 AND d_dom_max@0 >= 25 AND d_dom_null_count@1 != row_count@2 AND d_dom_min@3 <= 28) AND (d_year_null_count@6 != row_count@2 AND d_year_min@4 <= 1999 AND 1999 <= d_year_max@5 OR d_year_null_count@6 != row_count@2 AND d_year_min@4 <= 2000 AND 2000 <= d_year_max@5 OR d_year_null_count@6 != row_count@2 AND d_year_min@4 <= 2001 AND 2001 <= d_year_max@5), required_guarantees=[d_year in (1999, 2000, 2001)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_dom], file_type=parquet, predicate=(d_dom@9 >= 1 AND d_dom@9 <= 3 OR d_dom@9 >= 25 AND d_dom@9 <= 28) AND (d_year@6 = 1999 OR d_year@6 = 2000 OR d_year@6 = 2001), pruning_predicate=(d_dom_null_count@1 != row_count@2 AND d_dom_max@0 >= 1 AND d_dom_null_count@1 != row_count@2 AND d_dom_min@3 <= 3 OR d_dom_null_count@1 != row_count@2 AND d_dom_max@0 >= 25 AND d_dom_null_count@1 != row_count@2 AND d_dom_min@3 <= 28) AND (d_year_null_count@6 != row_count@2 AND d_year_min@4 <= 1999 AND 1999 <= d_year_max@5 OR d_year_null_count@6 != row_count@2 AND d_year_min@4 <= 2000 AND 2000 <= d_year_max@5 OR d_year_null_count@6 != row_count@2 AND d_year_min@4 <= 2001 AND 2001 <= d_year_max@5), required_guarantees=[d_year in (1999, 2000, 2001)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_dom], file_type=parquet, predicate=(d_dom@9 >= 1 AND d_dom@9 <= 3 OR d_dom@9 >= 25 AND d_dom@9 <= 28) AND (d_year@6 = 1999 OR d_year@6 = 2000 OR d_year@6 = 2001), pruning_predicate=(d_dom_null_count@1 != row_count@2 AND d_dom_max@0 >= 1 AND d_dom_null_count@1 != row_count@2 AND d_dom_min@3 <= 3 OR d_dom_null_count@1 != row_count@2 AND d_dom_max@0 >= 25 AND d_dom_null_count@1 != row_count@2 AND d_dom_min@3 <= 28) AND (d_year_null_count@6 != row_count@2 AND d_year_min@4 <= 1999 AND 1999 <= d_year_max@5 OR d_year_null_count@6 != row_count@2 AND d_year_min@4 <= 2000 AND 2000 <= d_year_max@5 OR d_year_null_count@6 != row_count@2 AND d_year_min@4 <= 2001 AND 2001 <= d_year_max@5), required_guarantees=[d_year in (1999, 2000, 2001)]
              └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_35() -> Result<()> {
        let display = test_tpcds_query("q35").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [ca_state@0 ASC, cd_gender@1 ASC, cd_marital_status@2 ASC, cd_dep_count@3 ASC, cd_dep_employed_count@8 ASC, cd_dep_college_count@13 ASC], fetch=100
        │   SortExec: TopK(fetch=100), expr=[ca_state@0 ASC, cd_gender@1 ASC, cd_marital_status@2 ASC, cd_dep_count@3 ASC, cd_dep_employed_count@8 ASC, cd_dep_college_count@13 ASC], preserve_partitioning=[true]
        │     ProjectionExec: expr=[ca_state@0 as ca_state, cd_gender@1 as cd_gender, cd_marital_status@2 as cd_marital_status, cd_dep_count@3 as cd_dep_count, count(Int64(1))@6 as cnt1, min(customer_demographics.cd_dep_count)@7 as min1, max(customer_demographics.cd_dep_count)@8 as max1, avg(customer_demographics.cd_dep_count)@9 as avg1, cd_dep_employed_count@4 as cd_dep_employed_count, count(Int64(1))@6 as cnt2, min(customer_demographics.cd_dep_employed_count)@10 as min2, max(customer_demographics.cd_dep_employed_count)@11 as max2, avg(customer_demographics.cd_dep_employed_count)@12 as avg2, cd_dep_college_count@5 as cd_dep_college_count, count(Int64(1))@6 as cnt3, min(customer_demographics.cd_dep_college_count)@13 as min(customer_demographics.cd_dep_college_count), max(customer_demographics.cd_dep_college_count)@14 as max(customer_demographics.cd_dep_college_count), avg(customer_demographics.cd_dep_college_count)@15 as avg(customer_demographics.cd_dep_college_count)]
        │       AggregateExec: mode=FinalPartitioned, gby=[ca_state@0 as ca_state, cd_gender@1 as cd_gender, cd_marital_status@2 as cd_marital_status, cd_dep_count@3 as cd_dep_count, cd_dep_employed_count@4 as cd_dep_employed_count, cd_dep_college_count@5 as cd_dep_college_count], aggr=[count(Int64(1)), min(customer_demographics.cd_dep_count), max(customer_demographics.cd_dep_count), avg(customer_demographics.cd_dep_count), min(customer_demographics.cd_dep_employed_count), max(customer_demographics.cd_dep_employed_count), avg(customer_demographics.cd_dep_employed_count), min(customer_demographics.cd_dep_college_count), max(customer_demographics.cd_dep_college_count), avg(customer_demographics.cd_dep_college_count)]
        │         RepartitionExec: partitioning=Hash([ca_state@0, cd_gender@1, cd_marital_status@2, cd_dep_count@3, cd_dep_employed_count@4, cd_dep_college_count@5], 3), input_partitions=3
        │           AggregateExec: mode=Partial, gby=[ca_state@0 as ca_state, cd_gender@1 as cd_gender, cd_marital_status@2 as cd_marital_status, cd_dep_count@3 as cd_dep_count, cd_dep_employed_count@4 as cd_dep_employed_count, cd_dep_college_count@5 as cd_dep_college_count], aggr=[count(Int64(1)), min(customer_demographics.cd_dep_count), max(customer_demographics.cd_dep_count), avg(customer_demographics.cd_dep_count), min(customer_demographics.cd_dep_employed_count), max(customer_demographics.cd_dep_employed_count), avg(customer_demographics.cd_dep_employed_count), min(customer_demographics.cd_dep_college_count), max(customer_demographics.cd_dep_college_count), avg(customer_demographics.cd_dep_college_count)]
        │             FilterExec: mark@6 OR mark@7, projection=[ca_state@0, cd_gender@1, cd_marital_status@2, cd_dep_count@3, cd_dep_employed_count@4, cd_dep_college_count@5]
        │               HashJoinExec: mode=CollectLeft, join_type=LeftMark, on=[(c_customer_sk@0, cs_ship_customer_sk@0)], projection=[ca_state@1, cd_gender@2, cd_marital_status@3, cd_dep_count@4, cd_dep_employed_count@5, cd_dep_college_count@6, mark@7, mark@8]
        │                 CoalescePartitionsExec
        │                   HashJoinExec: mode=CollectLeft, join_type=LeftMark, on=[(c_customer_sk@0, ws_bill_customer_sk@0)]
        │                     CoalescePartitionsExec
        │                       HashJoinExec: mode=CollectLeft, join_type=LeftSemi, on=[(c_customer_sk@0, ss_customer_sk@0)]
        │                         CoalescePartitionsExec
        │                           [Stage 3] => NetworkCoalesceExec: output_partitions=12, input_tasks=4
        │                         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[ss_customer_sk@2]
        │                           CoalescePartitionsExec
        │                             [Stage 4] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=3, input_tasks=4
        │                           DistributedLeafExec:
        │                             t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_customer_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
        │                     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ws_sold_date_sk@0)], projection=[ws_bill_customer_sk@2]
        │                       CoalescePartitionsExec
        │                         [Stage 5] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=3, input_tasks=4
        │                       DistributedLeafExec:
        │                         t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_bill_customer_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
        │                 HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, cs_sold_date_sk@0)], projection=[cs_ship_customer_sk@2]
        │                   CoalescePartitionsExec
        │                     [Stage 6] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=3, input_tasks=4
        │                   DistributedLeafExec:
        │                     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_ship_customer_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
        └──────────────────────────────────────────────────
          ┌───── Stage 3 ── Tasks: t0:[p0..p2] t1:[p3..p5] t2:[p6..p8] t3:[p9..p11]
          │ HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(c_current_cdemo_sk@1, cd_demo_sk@0)], projection=[c_customer_sk@0, ca_state@2, cd_gender@4, cd_marital_status@5, cd_dep_count@6, cd_dep_employed_count@7, cd_dep_college_count@8]
          │   CoalescePartitionsExec
          │     [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
          │   DistributedLeafExec:
          │     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_gender, cd_marital_status, cd_dep_count, cd_dep_employed_count, cd_dep_college_count], file_type=parquet, predicate=DynamicFilter [ empty ]
          │     t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-3.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_gender, cd_marital_status, cd_dep_count, cd_dep_employed_count, cd_dep_college_count], file_type=parquet, predicate=DynamicFilter [ empty ]
          │     t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-3.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_gender, cd_marital_status, cd_dep_count, cd_dep_employed_count, cd_dep_college_count], file_type=parquet, predicate=DynamicFilter [ empty ]
          │     t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-3.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_gender, cd_marital_status, cd_dep_count, cd_dep_employed_count, cd_dep_college_count], file_type=parquet, predicate=DynamicFilter [ empty ]
          └──────────────────────────────────────────────────
            ┌───── Stage 2 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(ca_address_sk@0, c_current_addr_sk@2)], projection=[c_customer_sk@2, c_current_cdemo_sk@3, ca_state@1]
            │     CoalescePartitionsExec
            │       [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_cdemo_sk, c_current_addr_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
            │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_cdemo_sk, c_current_addr_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
            │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_cdemo_sk, c_current_addr_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
            │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_cdemo_sk, c_current_addr_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 1 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_state], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_state], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_state], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_state], file_type=parquet
              └──────────────────────────────────────────────────
          ┌───── Stage 4 ── Tasks: t0:[p0..p2] t1:[p3..p5] t2:[p6..p8] t3:[p9..p11]
          │ BroadcastExec: input_partitions=3, consumer_tasks=1, output_partitions=3
          │   FilterExec: d_year@1 = 2002 AND d_qoy@2 < 4, projection=[d_date_sk@0]
          │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
          │       DistributedLeafExec:
          │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_qoy], file_type=parquet, predicate=d_year@6 = 2002 AND d_qoy@10 < 4, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1 AND d_qoy_null_count@5 != row_count@3 AND d_qoy_min@4 < 4, required_guarantees=[d_year in (2002)]
          │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_qoy], file_type=parquet, predicate=d_year@6 = 2002 AND d_qoy@10 < 4, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1 AND d_qoy_null_count@5 != row_count@3 AND d_qoy_min@4 < 4, required_guarantees=[d_year in (2002)]
          │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_qoy], file_type=parquet, predicate=d_year@6 = 2002 AND d_qoy@10 < 4, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1 AND d_qoy_null_count@5 != row_count@3 AND d_qoy_min@4 < 4, required_guarantees=[d_year in (2002)]
          │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_qoy], file_type=parquet, predicate=d_year@6 = 2002 AND d_qoy@10 < 4, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1 AND d_qoy_null_count@5 != row_count@3 AND d_qoy_min@4 < 4, required_guarantees=[d_year in (2002)]
          └──────────────────────────────────────────────────
          ┌───── Stage 5 ── Tasks: t0:[p0..p2] t1:[p3..p5] t2:[p6..p8] t3:[p9..p11]
          │ BroadcastExec: input_partitions=3, consumer_tasks=1, output_partitions=3
          │   FilterExec: d_year@1 = 2002 AND d_qoy@2 < 4, projection=[d_date_sk@0]
          │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
          │       DistributedLeafExec:
          │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_qoy], file_type=parquet, predicate=d_year@6 = 2002 AND d_qoy@10 < 4, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1 AND d_qoy_null_count@5 != row_count@3 AND d_qoy_min@4 < 4, required_guarantees=[d_year in (2002)]
          │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_qoy], file_type=parquet, predicate=d_year@6 = 2002 AND d_qoy@10 < 4, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1 AND d_qoy_null_count@5 != row_count@3 AND d_qoy_min@4 < 4, required_guarantees=[d_year in (2002)]
          │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_qoy], file_type=parquet, predicate=d_year@6 = 2002 AND d_qoy@10 < 4, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1 AND d_qoy_null_count@5 != row_count@3 AND d_qoy_min@4 < 4, required_guarantees=[d_year in (2002)]
          │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_qoy], file_type=parquet, predicate=d_year@6 = 2002 AND d_qoy@10 < 4, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1 AND d_qoy_null_count@5 != row_count@3 AND d_qoy_min@4 < 4, required_guarantees=[d_year in (2002)]
          └──────────────────────────────────────────────────
          ┌───── Stage 6 ── Tasks: t0:[p0..p2] t1:[p3..p5] t2:[p6..p8] t3:[p9..p11]
          │ BroadcastExec: input_partitions=3, consumer_tasks=1, output_partitions=3
          │   FilterExec: d_year@1 = 2002 AND d_qoy@2 < 4, projection=[d_date_sk@0]
          │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
          │       DistributedLeafExec:
          │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_qoy], file_type=parquet, predicate=d_year@6 = 2002 AND d_qoy@10 < 4, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1 AND d_qoy_null_count@5 != row_count@3 AND d_qoy_min@4 < 4, required_guarantees=[d_year in (2002)]
          │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_qoy], file_type=parquet, predicate=d_year@6 = 2002 AND d_qoy@10 < 4, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1 AND d_qoy_null_count@5 != row_count@3 AND d_qoy_min@4 < 4, required_guarantees=[d_year in (2002)]
          │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_qoy], file_type=parquet, predicate=d_year@6 = 2002 AND d_qoy@10 < 4, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1 AND d_qoy_null_count@5 != row_count@3 AND d_qoy_min@4 < 4, required_guarantees=[d_year in (2002)]
          │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_qoy], file_type=parquet, predicate=d_year@6 = 2002 AND d_qoy@10 < 4, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1 AND d_qoy_null_count@5 != row_count@3 AND d_qoy_min@4 < 4, required_guarantees=[d_year in (2002)]
          └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_36() -> Result<()> {
        let display = test_tpcds_query("q36").await?;
        assert_snapshot!(display, @r#"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [lochierarchy@3 DESC, CASE WHEN lochierarchy@3 = 0 THEN i_category@1 END ASC, rank_within_parent@4 ASC], fetch=100
        │   SortExec: TopK(fetch=100), expr=[lochierarchy@3 DESC, CASE WHEN lochierarchy@3 = 0 THEN i_category@1 END ASC, rank_within_parent@4 ASC], preserve_partitioning=[true]
        │     ProjectionExec: expr=[gross_margin@0 as gross_margin, i_category@1 as i_category, i_class@2 as i_class, lochierarchy@4 as lochierarchy, rank() PARTITION BY [results_rollup.lochierarchy, CASE WHEN results_rollup.t_class = Int64(0) THEN results_rollup.i_category END] ORDER BY [results_rollup.gross_margin ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@5 as rank_within_parent]
        │       BoundedWindowAggExec: wdw=[rank() PARTITION BY [results_rollup.lochierarchy, CASE WHEN results_rollup.t_class = Int64(0) THEN results_rollup.i_category END] ORDER BY [results_rollup.gross_margin ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Field { "rank() PARTITION BY [results_rollup.lochierarchy, CASE WHEN results_rollup.t_class = Int64(0) THEN results_rollup.i_category END] ORDER BY [results_rollup.gross_margin ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW": UInt64 }, frame: RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW], mode=[Sorted]
        │         SortExec: expr=[lochierarchy@4 ASC NULLS LAST, CASE WHEN t_class@3 = 0 THEN i_category@1 END ASC NULLS LAST, gross_margin@0 ASC NULLS LAST], preserve_partitioning=[true]
        │           RepartitionExec: partitioning=Hash([lochierarchy@4, CASE WHEN t_class@3 = 0 THEN i_category@1 END], 3), input_partitions=3
        │             ProjectionExec: expr=[gross_margin@0 as gross_margin, i_category@1 as i_category, i_class@2 as i_class, t_class@4 as t_class, lochierarchy@5 as lochierarchy]
        │               AggregateExec: mode=FinalPartitioned, gby=[gross_margin@0 as gross_margin, i_category@1 as i_category, i_class@2 as i_class, t_category@3 as t_category, t_class@4 as t_class, lochierarchy@5 as lochierarchy], aggr=[]
        │                 [Stage 16] => NetworkShuffleExec: output_partitions=3, input_tasks=2
        └──────────────────────────────────────────────────
          ┌───── Stage 16 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ RepartitionExec: partitioning=Hash([gross_margin@0, i_category@1, i_class@2, t_category@3, t_class@4, lochierarchy@5], 3), input_partitions=3
          │   AggregateExec: mode=Partial, gby=[gross_margin@0 as gross_margin, i_category@1 as i_category, i_class@2 as i_class, t_category@3 as t_category, t_class@4 as t_class, lochierarchy@5 as lochierarchy], aggr=[], ordering_mode=PartiallySorted([3])
          │     DistributedUnionExec: t0:[c0] t1:[c1]
          │       ProjectionExec: expr=[gross_margin@0 as gross_margin, CAST(i_category@1 AS Utf8) as i_category, i_class@2 as i_class, t_category@3 as t_category, t_class@4 as t_class, lochierarchy@5 as lochierarchy]
          │         AggregateExec: mode=FinalPartitioned, gby=[gross_margin@0 as gross_margin, i_category@1 as i_category, i_class@2 as i_class, t_category@3 as t_category, t_class@4 as t_class, lochierarchy@5 as lochierarchy], aggr=[], ordering_mode=PartiallySorted([3])
          │           [Stage 10] => NetworkShuffleExec: output_partitions=3, input_tasks=3
          │       ProjectionExec: expr=[CAST(sum(results.ss_net_profit)@0 AS Float64) / CAST(sum(results.ss_ext_sales_price)@1 AS Float64) as gross_margin, NULL as i_category, NULL as i_class, 1 as t_category, 1 as t_class, 2 as lochierarchy]
          │         AggregateExec: mode=Final, gby=[], aggr=[sum(results.ss_net_profit), sum(results.ss_ext_sales_price)]
          │           CoalescePartitionsExec
          │             [Stage 15] => NetworkCoalesceExec: output_partitions=6, input_tasks=2
          └──────────────────────────────────────────────────
            ┌───── Stage 10 ── Tasks: t0:[p0..p2] t1:[p0..p2] t2:[p0..p2]
            │ RepartitionExec: partitioning=Hash([gross_margin@0, i_category@1, i_class@2, t_category@3, t_class@4, lochierarchy@5], 3), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[gross_margin@0 as gross_margin, i_category@1 as i_category, i_class@2 as i_class, t_category@3 as t_category, t_class@4 as t_class, lochierarchy@5 as lochierarchy], aggr=[], ordering_mode=PartiallySorted([3, 4, 5])
            │     DistributedUnionExec: t0:[c0(0/2)] t1:[c0(1/2)] t2:[c1]
            │       ProjectionExec: expr=[CAST(sum(store_sales.ss_net_profit)@2 AS Float64) / CAST(sum(store_sales.ss_ext_sales_price)@3 AS Float64) as gross_margin, i_category@0 as i_category, CAST(i_class@1 AS Utf8) as i_class, 0 as t_category, 0 as t_class, 0 as lochierarchy]
            │         AggregateExec: mode=FinalPartitioned, gby=[i_category@0 as i_category, i_class@1 as i_class], aggr=[sum(store_sales.ss_net_profit), sum(store_sales.ss_ext_sales_price)]
            │           [Stage 4] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            │       ProjectionExec: expr=[CAST(sum(results.ss_net_profit)@1 AS Float64) / CAST(sum(results.ss_ext_sales_price)@2 AS Float64) as gross_margin, i_category@0 as i_category, NULL as i_class, 0 as t_category, 1 as t_class, 1 as lochierarchy]
            │         AggregateExec: mode=FinalPartitioned, gby=[i_category@0 as i_category], aggr=[sum(results.ss_net_profit), sum(results.ss_ext_sales_price)]
            │           [Stage 9] => NetworkShuffleExec: output_partitions=3, input_tasks=2
            └──────────────────────────────────────────────────
              ┌───── Stage 4 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
              │ RepartitionExec: partitioning=Hash([i_category@0, i_class@1], 6), input_partitions=3
              │   AggregateExec: mode=Partial, gby=[i_category@3 as i_category, i_class@2 as i_class], aggr=[sum(store_sales.ss_net_profit), sum(store_sales.ss_ext_sales_price)]
              │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(s_store_sk@0, ss_store_sk@0)], projection=[ss_ext_sales_price@2, ss_net_profit@3, i_class@4, i_category@5]
              │       CoalescePartitionsExec
              │         [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
              │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, ss_item_sk@0)], projection=[ss_store_sk@4, ss_ext_sales_price@5, ss_net_profit@6, i_class@1, i_category@2]
              │         CoalescePartitionsExec
              │           [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
              │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[ss_item_sk@2, ss_store_sk@3, ss_ext_sales_price@4, ss_net_profit@5]
              │           CoalescePartitionsExec
              │             [Stage 3] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
              │           DistributedLeafExec:
              │             t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_store_sk, ss_ext_sales_price, ss_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │             t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_store_sk, ss_ext_sales_price, ss_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │             t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_store_sk, ss_ext_sales_price, ss_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │             t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_store_sk, ss_ext_sales_price, ss_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
                ┌───── Stage 1 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                │   FilterExec: s_state@1 = TN, projection=[s_store_sk@0]
                │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>]]}, projection=[s_store_sk, s_state], file_type=parquet, predicate=s_state@24 = TN, pruning_predicate=s_state_null_count@2 != row_count@3 AND s_state_min@0 <= TN AND TN <= s_state_max@1, required_guarantees=[s_state in (TN)]
                │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>]]}, projection=[s_store_sk, s_state], file_type=parquet, predicate=s_state@24 = TN, pruning_predicate=s_state_null_count@2 != row_count@3 AND s_state_min@0 <= TN AND TN <= s_state_max@1, required_guarantees=[s_state in (TN)]
                │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_state], file_type=parquet, predicate=s_state@24 = TN, pruning_predicate=s_state_null_count@2 != row_count@3 AND s_state_min@0 <= TN AND TN <= s_state_max@1, required_guarantees=[s_state in (TN)]
                │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_state], file_type=parquet, predicate=s_state@24 = TN, pruning_predicate=s_state_null_count@2 != row_count@3 AND s_state_min@0 <= TN AND TN <= s_state_max@1, required_guarantees=[s_state in (TN)]
                └──────────────────────────────────────────────────
                ┌───── Stage 2 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                │   DistributedLeafExec:
                │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_class, i_category], file_type=parquet
                │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_class, i_category], file_type=parquet
                │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_class, i_category], file_type=parquet
                │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_class, i_category], file_type=parquet
                └──────────────────────────────────────────────────
                ┌───── Stage 3 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                │   FilterExec: d_year@1 = 2001, projection=[d_date_sk@0]
                │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
                │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
                │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
                │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
                └──────────────────────────────────────────────────
              ┌───── Stage 9 ── Tasks: t0:[p0..p2] t1:[p0..p2]
              │ RepartitionExec: partitioning=Hash([i_category@0], 3), input_partitions=3
              │   AggregateExec: mode=Partial, gby=[i_category@2 as i_category], aggr=[sum(results.ss_net_profit), sum(results.ss_ext_sales_price)]
              │     ProjectionExec: expr=[sum(store_sales.ss_net_profit)@2 as ss_net_profit, sum(store_sales.ss_ext_sales_price)@3 as ss_ext_sales_price, i_category@0 as i_category]
              │       AggregateExec: mode=FinalPartitioned, gby=[i_category@0 as i_category, i_class@1 as i_class], aggr=[sum(store_sales.ss_net_profit), sum(store_sales.ss_ext_sales_price)]
              │         [Stage 8] => NetworkShuffleExec: output_partitions=3, input_tasks=4
              └──────────────────────────────────────────────────
                ┌───── Stage 8 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
                │ RepartitionExec: partitioning=Hash([i_category@0, i_class@1], 6), input_partitions=3
                │   AggregateExec: mode=Partial, gby=[i_category@3 as i_category, i_class@2 as i_class], aggr=[sum(store_sales.ss_net_profit), sum(store_sales.ss_ext_sales_price)]
                │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(s_store_sk@0, ss_store_sk@0)], projection=[ss_ext_sales_price@2, ss_net_profit@3, i_class@4, i_category@5]
                │       CoalescePartitionsExec
                │         [Stage 5] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
                │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, ss_item_sk@0)], projection=[ss_store_sk@4, ss_ext_sales_price@5, ss_net_profit@6, i_class@1, i_category@2]
                │         CoalescePartitionsExec
                │           [Stage 6] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
                │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[ss_item_sk@2, ss_store_sk@3, ss_ext_sales_price@4, ss_net_profit@5]
                │           CoalescePartitionsExec
                │             [Stage 7] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
                │           DistributedLeafExec:
                │             t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_store_sk, ss_ext_sales_price, ss_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │             t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_store_sk, ss_ext_sales_price, ss_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │             t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_store_sk, ss_ext_sales_price, ss_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │             t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_store_sk, ss_ext_sales_price, ss_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                └──────────────────────────────────────────────────
                  ┌───── Stage 5 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                  │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                  │   FilterExec: s_state@1 = TN, projection=[s_store_sk@0]
                  │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                  │       DistributedLeafExec:
                  │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>]]}, projection=[s_store_sk, s_state], file_type=parquet, predicate=s_state@24 = TN, pruning_predicate=s_state_null_count@2 != row_count@3 AND s_state_min@0 <= TN AND TN <= s_state_max@1, required_guarantees=[s_state in (TN)]
                  │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>]]}, projection=[s_store_sk, s_state], file_type=parquet, predicate=s_state@24 = TN, pruning_predicate=s_state_null_count@2 != row_count@3 AND s_state_min@0 <= TN AND TN <= s_state_max@1, required_guarantees=[s_state in (TN)]
                  │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_state], file_type=parquet, predicate=s_state@24 = TN, pruning_predicate=s_state_null_count@2 != row_count@3 AND s_state_min@0 <= TN AND TN <= s_state_max@1, required_guarantees=[s_state in (TN)]
                  │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_state], file_type=parquet, predicate=s_state@24 = TN, pruning_predicate=s_state_null_count@2 != row_count@3 AND s_state_min@0 <= TN AND TN <= s_state_max@1, required_guarantees=[s_state in (TN)]
                  └──────────────────────────────────────────────────
                  ┌───── Stage 6 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                  │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                  │   DistributedLeafExec:
                  │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_class, i_category], file_type=parquet
                  │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_class, i_category], file_type=parquet
                  │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_class, i_category], file_type=parquet
                  │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_class, i_category], file_type=parquet
                  └──────────────────────────────────────────────────
                  ┌───── Stage 7 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                  │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                  │   FilterExec: d_year@1 = 2001, projection=[d_date_sk@0]
                  │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                  │       DistributedLeafExec:
                  │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
                  │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
                  │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
                  │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
                  └──────────────────────────────────────────────────
            ┌───── Stage 15 ── Tasks: t0:[p0..p2] t1:[p0..p2]
            │ AggregateExec: mode=Partial, gby=[], aggr=[sum(results.ss_net_profit), sum(results.ss_ext_sales_price)]
            │   ProjectionExec: expr=[sum(store_sales.ss_net_profit)@2 as ss_net_profit, sum(store_sales.ss_ext_sales_price)@3 as ss_ext_sales_price]
            │     AggregateExec: mode=FinalPartitioned, gby=[i_category@0 as i_category, i_class@1 as i_class], aggr=[sum(store_sales.ss_net_profit), sum(store_sales.ss_ext_sales_price)]
            │       [Stage 14] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            └──────────────────────────────────────────────────
              ┌───── Stage 14 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
              │ RepartitionExec: partitioning=Hash([i_category@0, i_class@1], 6), input_partitions=3
              │   AggregateExec: mode=Partial, gby=[i_category@3 as i_category, i_class@2 as i_class], aggr=[sum(store_sales.ss_net_profit), sum(store_sales.ss_ext_sales_price)]
              │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(s_store_sk@0, ss_store_sk@0)], projection=[ss_ext_sales_price@2, ss_net_profit@3, i_class@4, i_category@5]
              │       CoalescePartitionsExec
              │         [Stage 11] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
              │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, ss_item_sk@0)], projection=[ss_store_sk@4, ss_ext_sales_price@5, ss_net_profit@6, i_class@1, i_category@2]
              │         CoalescePartitionsExec
              │           [Stage 12] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
              │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[ss_item_sk@2, ss_store_sk@3, ss_ext_sales_price@4, ss_net_profit@5]
              │           CoalescePartitionsExec
              │             [Stage 13] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
              │           DistributedLeafExec:
              │             t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_store_sk, ss_ext_sales_price, ss_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │             t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_store_sk, ss_ext_sales_price, ss_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │             t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_store_sk, ss_ext_sales_price, ss_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │             t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_store_sk, ss_ext_sales_price, ss_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
                ┌───── Stage 11 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                │   FilterExec: s_state@1 = TN, projection=[s_store_sk@0]
                │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>]]}, projection=[s_store_sk, s_state], file_type=parquet, predicate=s_state@24 = TN, pruning_predicate=s_state_null_count@2 != row_count@3 AND s_state_min@0 <= TN AND TN <= s_state_max@1, required_guarantees=[s_state in (TN)]
                │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>]]}, projection=[s_store_sk, s_state], file_type=parquet, predicate=s_state@24 = TN, pruning_predicate=s_state_null_count@2 != row_count@3 AND s_state_min@0 <= TN AND TN <= s_state_max@1, required_guarantees=[s_state in (TN)]
                │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_state], file_type=parquet, predicate=s_state@24 = TN, pruning_predicate=s_state_null_count@2 != row_count@3 AND s_state_min@0 <= TN AND TN <= s_state_max@1, required_guarantees=[s_state in (TN)]
                │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_state], file_type=parquet, predicate=s_state@24 = TN, pruning_predicate=s_state_null_count@2 != row_count@3 AND s_state_min@0 <= TN AND TN <= s_state_max@1, required_guarantees=[s_state in (TN)]
                └──────────────────────────────────────────────────
                ┌───── Stage 12 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                │   DistributedLeafExec:
                │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_class, i_category], file_type=parquet
                │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_class, i_category], file_type=parquet
                │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_class, i_category], file_type=parquet
                │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_class, i_category], file_type=parquet
                └──────────────────────────────────────────────────
                ┌───── Stage 13 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                │   FilterExec: d_year@1 = 2001, projection=[d_date_sk@0]
                │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
                │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
                │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
                │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
                └──────────────────────────────────────────────────
        "#);
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_37() -> Result<()> {
        let display = test_tpcds_query("q37").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [i_item_id@0 ASC NULLS LAST], fetch=100
        │   [Stage 5] => NetworkCoalesceExec: output_partitions=6, input_tasks=2
        └──────────────────────────────────────────────────
          ┌───── Stage 5 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ SortExec: TopK(fetch=100), expr=[i_item_id@0 ASC NULLS LAST], preserve_partitioning=[true]
          │   AggregateExec: mode=FinalPartitioned, gby=[i_item_id@0 as i_item_id, i_item_desc@1 as i_item_desc, i_current_price@2 as i_current_price], aggr=[]
          │     [Stage 4] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 4 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([i_item_id@0, i_item_desc@1, i_current_price@2], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[i_item_id@0 as i_item_id, i_item_desc@1 as i_item_desc, i_current_price@2 as i_current_price], aggr=[]
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, cs_item_sk@0)], projection=[i_item_id@1, i_item_desc@2, i_current_price@3]
            │       CoalescePartitionsExec
            │         [Stage 3] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>]]}, projection=[cs_item_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
            │         t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_item_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
            │         t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_item_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
            │         t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_item_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 3 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, inv_date_sk@4)], projection=[i_item_sk@1, i_item_id@2, i_item_desc@3, i_current_price@4]
              │     CoalescePartitionsExec
              │       [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
              │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, inv_item_sk@1)], projection=[i_item_sk@0, i_item_id@1, i_item_desc@2, i_current_price@3, inv_date_sk@4]
              │       CoalescePartitionsExec
              │         [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
              │       FilterExec: inv_quantity_on_hand@2 >= 100 AND inv_quantity_on_hand@2 <= 500, projection=[inv_date_sk@0, inv_item_sk@1]
              │         DistributedLeafExec:
              │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/inventory/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/inventory/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/inventory/part-2.parquet:<int>..<int>]]}, projection=[inv_date_sk, inv_item_sk, inv_quantity_on_hand], file_type=parquet, predicate=inv_quantity_on_hand@3 >= 100 AND inv_quantity_on_hand@3 <= 500 AND DynamicFilter [ empty ] AND DynamicFilter [ empty ], pruning_predicate=inv_quantity_on_hand_null_count@1 != row_count@2 AND inv_quantity_on_hand_max@0 >= 100 AND inv_quantity_on_hand_null_count@1 != row_count@2 AND inv_quantity_on_hand_min@3 <= 500, required_guarantees=[]
              │           t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/inventory/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/inventory/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/inventory/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/inventory/part-3.parquet:<int>..<int>]]}, projection=[inv_date_sk, inv_item_sk, inv_quantity_on_hand], file_type=parquet, predicate=inv_quantity_on_hand@3 >= 100 AND inv_quantity_on_hand@3 <= 500 AND DynamicFilter [ empty ] AND DynamicFilter [ empty ], pruning_predicate=inv_quantity_on_hand_null_count@1 != row_count@2 AND inv_quantity_on_hand_max@0 >= 100 AND inv_quantity_on_hand_null_count@1 != row_count@2 AND inv_quantity_on_hand_min@3 <= 500, required_guarantees=[]
              │           t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/inventory/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/inventory/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/inventory/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/inventory/part-3.parquet:<int>..<int>]]}, projection=[inv_date_sk, inv_item_sk, inv_quantity_on_hand], file_type=parquet, predicate=inv_quantity_on_hand@3 >= 100 AND inv_quantity_on_hand@3 <= 500 AND DynamicFilter [ empty ] AND DynamicFilter [ empty ], pruning_predicate=inv_quantity_on_hand_null_count@1 != row_count@2 AND inv_quantity_on_hand_max@0 >= 100 AND inv_quantity_on_hand_null_count@1 != row_count@2 AND inv_quantity_on_hand_min@3 <= 500, required_guarantees=[]
              │           t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/inventory/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/inventory/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/inventory/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/inventory/part-3.parquet:<int>..<int>]]}, projection=[inv_date_sk, inv_item_sk, inv_quantity_on_hand], file_type=parquet, predicate=inv_quantity_on_hand@3 >= 100 AND inv_quantity_on_hand@3 <= 500 AND DynamicFilter [ empty ] AND DynamicFilter [ empty ], pruning_predicate=inv_quantity_on_hand_null_count@1 != row_count@2 AND inv_quantity_on_hand_max@0 >= 100 AND inv_quantity_on_hand_null_count@1 != row_count@2 AND inv_quantity_on_hand_min@3 <= 500, required_guarantees=[]
              └──────────────────────────────────────────────────
                ┌───── Stage 1 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                │   FilterExec: d_date@1 >= 2000-02-01 AND d_date@1 <= 2000-04-01, projection=[d_date_sk@0]
                │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-02-01 AND d_date@2 <= 2000-04-01, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-02-01 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-04-01, required_guarantees=[]
                │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-02-01 AND d_date@2 <= 2000-04-01, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-02-01 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-04-01, required_guarantees=[]
                │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-02-01 AND d_date@2 <= 2000-04-01, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-02-01 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-04-01, required_guarantees=[]
                │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-02-01 AND d_date@2 <= 2000-04-01, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-02-01 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-04-01, required_guarantees=[]
                └──────────────────────────────────────────────────
                ┌───── Stage 2 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                │   FilterExec: i_current_price@3 >= Some(6800),7,2 AND i_current_price@3 <= Some(9800),7,2 AND i_manufact_id@4 IN (SET) ([677, 940, 694, 808]), projection=[i_item_sk@0, i_item_id@1, i_item_desc@2, i_current_price@3]
                │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id, i_item_desc, i_current_price, i_manufact_id], file_type=parquet, predicate=i_current_price@5 >= Some(6800),7,2 AND i_current_price@5 <= Some(9800),7,2 AND i_manufact_id@13 IN (SET) ([677, 940, 694, 808]) AND DynamicFilter [ empty ], pruning_predicate=i_current_price_null_count@1 != row_count@2 AND i_current_price_max@0 >= Some(6800),7,2 AND i_current_price_null_count@1 != row_count@2 AND i_current_price_min@3 <= Some(9800),7,2 AND (i_manufact_id_null_count@6 != row_count@2 AND i_manufact_id_min@4 <= 677 AND 677 <= i_manufact_id_max@5 OR i_manufact_id_null_count@6 != row_count@2 AND i_manufact_id_min@4 <= 940 AND 940 <= i_manufact_id_max@5 OR i_manufact_id_null_count@6 != row_count@2 AND i_manufact_id_min@4 <= 694 AND 694 <= i_manufact_id_max@5 OR i_manufact_id_null_count@6 != row_count@2 AND i_manufact_id_min@4 <= 808 AND 808 <= i_manufact_id_max@5), required_guarantees=[i_manufact_id in (677, 694, 808, 940)]
                │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id, i_item_desc, i_current_price, i_manufact_id], file_type=parquet, predicate=i_current_price@5 >= Some(6800),7,2 AND i_current_price@5 <= Some(9800),7,2 AND i_manufact_id@13 IN (SET) ([677, 940, 694, 808]) AND DynamicFilter [ empty ], pruning_predicate=i_current_price_null_count@1 != row_count@2 AND i_current_price_max@0 >= Some(6800),7,2 AND i_current_price_null_count@1 != row_count@2 AND i_current_price_min@3 <= Some(9800),7,2 AND (i_manufact_id_null_count@6 != row_count@2 AND i_manufact_id_min@4 <= 677 AND 677 <= i_manufact_id_max@5 OR i_manufact_id_null_count@6 != row_count@2 AND i_manufact_id_min@4 <= 940 AND 940 <= i_manufact_id_max@5 OR i_manufact_id_null_count@6 != row_count@2 AND i_manufact_id_min@4 <= 694 AND 694 <= i_manufact_id_max@5 OR i_manufact_id_null_count@6 != row_count@2 AND i_manufact_id_min@4 <= 808 AND 808 <= i_manufact_id_max@5), required_guarantees=[i_manufact_id in (677, 694, 808, 940)]
                │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id, i_item_desc, i_current_price, i_manufact_id], file_type=parquet, predicate=i_current_price@5 >= Some(6800),7,2 AND i_current_price@5 <= Some(9800),7,2 AND i_manufact_id@13 IN (SET) ([677, 940, 694, 808]) AND DynamicFilter [ empty ], pruning_predicate=i_current_price_null_count@1 != row_count@2 AND i_current_price_max@0 >= Some(6800),7,2 AND i_current_price_null_count@1 != row_count@2 AND i_current_price_min@3 <= Some(9800),7,2 AND (i_manufact_id_null_count@6 != row_count@2 AND i_manufact_id_min@4 <= 677 AND 677 <= i_manufact_id_max@5 OR i_manufact_id_null_count@6 != row_count@2 AND i_manufact_id_min@4 <= 940 AND 940 <= i_manufact_id_max@5 OR i_manufact_id_null_count@6 != row_count@2 AND i_manufact_id_min@4 <= 694 AND 694 <= i_manufact_id_max@5 OR i_manufact_id_null_count@6 != row_count@2 AND i_manufact_id_min@4 <= 808 AND 808 <= i_manufact_id_max@5), required_guarantees=[i_manufact_id in (677, 694, 808, 940)]
                │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id, i_item_desc, i_current_price, i_manufact_id], file_type=parquet, predicate=i_current_price@5 >= Some(6800),7,2 AND i_current_price@5 <= Some(9800),7,2 AND i_manufact_id@13 IN (SET) ([677, 940, 694, 808]) AND DynamicFilter [ empty ], pruning_predicate=i_current_price_null_count@1 != row_count@2 AND i_current_price_max@0 >= Some(6800),7,2 AND i_current_price_null_count@1 != row_count@2 AND i_current_price_min@3 <= Some(9800),7,2 AND (i_manufact_id_null_count@6 != row_count@2 AND i_manufact_id_min@4 <= 677 AND 677 <= i_manufact_id_max@5 OR i_manufact_id_null_count@6 != row_count@2 AND i_manufact_id_min@4 <= 940 AND 940 <= i_manufact_id_max@5 OR i_manufact_id_null_count@6 != row_count@2 AND i_manufact_id_min@4 <= 694 AND 694 <= i_manufact_id_max@5 OR i_manufact_id_null_count@6 != row_count@2 AND i_manufact_id_min@4 <= 808 AND 808 <= i_manufact_id_max@5), required_guarantees=[i_manufact_id in (677, 694, 808, 940)]
                └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_38() -> Result<()> {
        let display = test_tpcds_query("q38").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ ProjectionExec: expr=[count(Int64(1))@0 as count(*)]
        │   GlobalLimitExec: skip=0, fetch=100
        │     AggregateExec: mode=Final, gby=[], aggr=[count(Int64(1))]
        │       CoalescePartitionsExec
        │         [Stage 10] => NetworkCoalesceExec: output_partitions=6, input_tasks=2
        └──────────────────────────────────────────────────
          ┌───── Stage 10 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ AggregateExec: mode=Partial, gby=[], aggr=[count(Int64(1))]
          │   HashJoinExec: mode=Partitioned, join_type=LeftSemi, on=[(c_last_name@0, c_last_name@0), (c_first_name@1, c_first_name@1), (d_date@2, d_date@2)], projection=[], NullsEqual: true
          │     AggregateExec: mode=SinglePartitioned, gby=[c_last_name@0 as c_last_name, c_first_name@1 as c_first_name, d_date@2 as d_date], aggr=[]
          │       HashJoinExec: mode=Partitioned, join_type=RightSemi, on=[(c_last_name@0, c_last_name@0), (c_first_name@1, c_first_name@1), (d_date@2, d_date@2)], NullsEqual: true
          │         AggregateExec: mode=FinalPartitioned, gby=[c_last_name@0 as c_last_name, c_first_name@1 as c_first_name, d_date@2 as d_date], aggr=[]
          │           [Stage 3] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          │         AggregateExec: mode=SinglePartitioned, gby=[c_last_name@0 as c_last_name, c_first_name@1 as c_first_name, d_date@2 as d_date], aggr=[]
          │           AggregateExec: mode=FinalPartitioned, gby=[c_last_name@0 as c_last_name, c_first_name@1 as c_first_name, d_date@2 as d_date], aggr=[]
          │             [Stage 6] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          │     AggregateExec: mode=FinalPartitioned, gby=[c_last_name@0 as c_last_name, c_first_name@1 as c_first_name, d_date@2 as d_date], aggr=[]
          │       [Stage 9] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 3 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([c_last_name@0, c_first_name@1, d_date@2], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[c_last_name@0 as c_last_name, c_first_name@1 as c_first_name, d_date@2 as d_date], aggr=[]
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(c_customer_sk@0, cs_bill_customer_sk@0)], projection=[c_last_name@2, c_first_name@1, d_date@4]
            │       CoalescePartitionsExec
            │         [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, cs_sold_date_sk@0)], projection=[cs_bill_customer_sk@3, d_date@1]
            │         CoalescePartitionsExec
            │           [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │         DistributedLeafExec:
            │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_bill_customer_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_bill_customer_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_bill_customer_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_bill_customer_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 1 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_first_name, c_last_name], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_first_name, c_last_name], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_first_name, c_last_name], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_first_name, c_last_name], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 2 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_month_seq@2 >= 1200 AND d_month_seq@2 <= 1211, projection=[d_date_sk@0, d_date@1]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date, d_month_seq], file_type=parquet, predicate=d_month_seq@3 >= 1200 AND d_month_seq@3 <= 1211, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1200 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1211, required_guarantees=[]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date, d_month_seq], file_type=parquet, predicate=d_month_seq@3 >= 1200 AND d_month_seq@3 <= 1211, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1200 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1211, required_guarantees=[]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date, d_month_seq], file_type=parquet, predicate=d_month_seq@3 >= 1200 AND d_month_seq@3 <= 1211, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1200 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1211, required_guarantees=[]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date, d_month_seq], file_type=parquet, predicate=d_month_seq@3 >= 1200 AND d_month_seq@3 <= 1211, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1200 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1211, required_guarantees=[]
              └──────────────────────────────────────────────────
            ┌───── Stage 6 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([c_last_name@0, c_first_name@1, d_date@2], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[c_last_name@0 as c_last_name, c_first_name@1 as c_first_name, d_date@2 as d_date], aggr=[]
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(c_customer_sk@0, ss_customer_sk@0)], projection=[c_last_name@2, c_first_name@1, d_date@4]
            │       CoalescePartitionsExec
            │         [Stage 4] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[ss_customer_sk@3, d_date@1]
            │         CoalescePartitionsExec
            │           [Stage 5] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │         DistributedLeafExec:
            │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_customer_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_customer_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_customer_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_customer_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 4 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_first_name, c_last_name], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_first_name, c_last_name], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_first_name, c_last_name], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_first_name, c_last_name], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 5 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_month_seq@2 >= 1200 AND d_month_seq@2 <= 1211, projection=[d_date_sk@0, d_date@1]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date, d_month_seq], file_type=parquet, predicate=d_month_seq@3 >= 1200 AND d_month_seq@3 <= 1211, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1200 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1211, required_guarantees=[]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date, d_month_seq], file_type=parquet, predicate=d_month_seq@3 >= 1200 AND d_month_seq@3 <= 1211, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1200 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1211, required_guarantees=[]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date, d_month_seq], file_type=parquet, predicate=d_month_seq@3 >= 1200 AND d_month_seq@3 <= 1211, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1200 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1211, required_guarantees=[]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date, d_month_seq], file_type=parquet, predicate=d_month_seq@3 >= 1200 AND d_month_seq@3 <= 1211, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1200 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1211, required_guarantees=[]
              └──────────────────────────────────────────────────
            ┌───── Stage 9 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([c_last_name@0, c_first_name@1, d_date@2], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[c_last_name@0 as c_last_name, c_first_name@1 as c_first_name, d_date@2 as d_date], aggr=[]
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(c_customer_sk@0, ws_bill_customer_sk@0)], projection=[c_last_name@2, c_first_name@1, d_date@4]
            │       CoalescePartitionsExec
            │         [Stage 7] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ws_sold_date_sk@0)], projection=[ws_bill_customer_sk@3, d_date@1]
            │         CoalescePartitionsExec
            │           [Stage 8] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │         DistributedLeafExec:
            │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_bill_customer_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_bill_customer_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_bill_customer_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_bill_customer_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 7 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_first_name, c_last_name], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_first_name, c_last_name], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_first_name, c_last_name], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_first_name, c_last_name], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 8 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_month_seq@2 >= 1200 AND d_month_seq@2 <= 1211, projection=[d_date_sk@0, d_date@1]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date, d_month_seq], file_type=parquet, predicate=d_month_seq@3 >= 1200 AND d_month_seq@3 <= 1211, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1200 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1211, required_guarantees=[]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date, d_month_seq], file_type=parquet, predicate=d_month_seq@3 >= 1200 AND d_month_seq@3 <= 1211, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1200 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1211, required_guarantees=[]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date, d_month_seq], file_type=parquet, predicate=d_month_seq@3 >= 1200 AND d_month_seq@3 <= 1211, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1200 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1211, required_guarantees=[]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date, d_month_seq], file_type=parquet, predicate=d_month_seq@3 >= 1200 AND d_month_seq@3 <= 1211, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1200 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1211, required_guarantees=[]
              └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_39() -> Result<()> {
        let display = test_tpcds_query("q39").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [wsk1@0 ASC, isk1@1 ASC, dmoy1@2 ASC, mean1@3 ASC, cov1@4 ASC, d_moy@7 ASC, mean@8 ASC, cov@9 ASC]
        │   SortExec: expr=[wsk1@0 ASC, isk1@1 ASC, mean1@3 ASC, cov1@4 ASC, mean@8 ASC, cov@9 ASC], preserve_partitioning=[true]
        │     ProjectionExec: expr=[w_warehouse_sk@0 as wsk1, i_item_sk@1 as isk1, d_moy@2 as dmoy1, mean@3 as mean1, cov@4 as cov1, w_warehouse_sk@5 as w_warehouse_sk, i_item_sk@6 as i_item_sk, d_moy@7 as d_moy, mean@8 as mean, cov@9 as cov]
        │       HashJoinExec: mode=Partitioned, join_type=Inner, on=[(i_item_sk@1, i_item_sk@1), (w_warehouse_sk@0, w_warehouse_sk@0)]
        │         [Stage 5] => NetworkShuffleExec: output_partitions=3, input_tasks=2
        │         [Stage 10] => NetworkShuffleExec: output_partitions=3, input_tasks=2
        └──────────────────────────────────────────────────
          ┌───── Stage 5 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ RepartitionExec: partitioning=Hash([i_item_sk@1, w_warehouse_sk@0], 3), input_partitions=3
          │   ProjectionExec: expr=[w_warehouse_sk@0 as w_warehouse_sk, i_item_sk@1 as i_item_sk, d_moy@2 as d_moy, avg(inventory.inv_quantity_on_hand)@4 as mean, CASE avg(inventory.inv_quantity_on_hand)@4 WHEN 0 THEN NULL ELSE stddev(inventory.inv_quantity_on_hand)@3 / avg(inventory.inv_quantity_on_hand)@4 END as cov]
          │     FilterExec: CASE avg(inventory.inv_quantity_on_hand)@4 WHEN 0 THEN 0 ELSE stddev(inventory.inv_quantity_on_hand)@3 / avg(inventory.inv_quantity_on_hand)@4 END > 1
          │       ProjectionExec: expr=[w_warehouse_sk@1 as w_warehouse_sk, i_item_sk@2 as i_item_sk, d_moy@3 as d_moy, stddev(inventory.inv_quantity_on_hand)@4 as stddev(inventory.inv_quantity_on_hand), avg(inventory.inv_quantity_on_hand)@5 as avg(inventory.inv_quantity_on_hand)]
          │         AggregateExec: mode=FinalPartitioned, gby=[w_warehouse_name@0 as w_warehouse_name, w_warehouse_sk@1 as w_warehouse_sk, i_item_sk@2 as i_item_sk, d_moy@3 as d_moy], aggr=[stddev(inventory.inv_quantity_on_hand), avg(inventory.inv_quantity_on_hand)], ordering_mode=PartiallySorted([3])
          │           [Stage 4] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 4 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([w_warehouse_name@0, w_warehouse_sk@1, i_item_sk@2, d_moy@3], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[w_warehouse_name@3 as w_warehouse_name, w_warehouse_sk@2 as w_warehouse_sk, i_item_sk@1 as i_item_sk, d_moy@4 as d_moy], aggr=[stddev(inventory.inv_quantity_on_hand), avg(inventory.inv_quantity_on_hand)], ordering_mode=PartiallySorted([3])
            │     ProjectionExec: expr=[CAST(inv_quantity_on_hand@0 AS Float64) as __common_expr_1, i_item_sk@1 as i_item_sk, w_warehouse_sk@2 as w_warehouse_sk, w_warehouse_name@3 as w_warehouse_name, d_moy@4 as d_moy]
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, inv_date_sk@0)], projection=[inv_quantity_on_hand@3, i_item_sk@4, w_warehouse_sk@5, w_warehouse_name@6, d_moy@1]
            │         CoalescePartitionsExec
            │           [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(w_warehouse_sk@0, inv_warehouse_sk@1)], projection=[inv_date_sk@2, inv_quantity_on_hand@4, i_item_sk@5, w_warehouse_sk@0, w_warehouse_name@1]
            │           CoalescePartitionsExec
            │             [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │           HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, inv_item_sk@1)], projection=[inv_date_sk@1, inv_warehouse_sk@3, inv_quantity_on_hand@4, i_item_sk@0]
            │             CoalescePartitionsExec
            │               [Stage 3] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │             DistributedLeafExec:
            │               t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/inventory/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/inventory/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/inventory/part-2.parquet:<int>..<int>]]}, projection=[inv_date_sk, inv_item_sk, inv_warehouse_sk, inv_quantity_on_hand], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │               t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/inventory/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/inventory/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/inventory/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/inventory/part-3.parquet:<int>..<int>]]}, projection=[inv_date_sk, inv_item_sk, inv_warehouse_sk, inv_quantity_on_hand], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │               t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/inventory/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/inventory/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/inventory/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/inventory/part-3.parquet:<int>..<int>]]}, projection=[inv_date_sk, inv_item_sk, inv_warehouse_sk, inv_quantity_on_hand], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │               t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/inventory/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/inventory/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/inventory/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/inventory/part-3.parquet:<int>..<int>]]}, projection=[inv_date_sk, inv_item_sk, inv_warehouse_sk, inv_quantity_on_hand], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 1 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_year@1 = 2001 AND d_moy@2 = 1, projection=[d_date_sk@0, d_moy@2]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001 AND d_moy@8 = 1, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 1 AND 1 <= d_moy_max@5, required_guarantees=[d_moy in (1), d_year in (2001)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001 AND d_moy@8 = 1, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 1 AND 1 <= d_moy_max@5, required_guarantees=[d_moy in (1), d_year in (2001)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001 AND d_moy@8 = 1, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 1 AND 1 <= d_moy_max@5, required_guarantees=[d_moy in (1), d_year in (2001)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001 AND d_moy@8 = 1, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 1 AND 1 <= d_moy_max@5, required_guarantees=[d_moy in (1), d_year in (2001)]
              └──────────────────────────────────────────────────
              ┌───── Stage 2 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/warehouse/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/warehouse/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/warehouse/part-1.parquet:<int>..<int>]]}, projection=[w_warehouse_sk, w_warehouse_name], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/warehouse/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/warehouse/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/warehouse/part-2.parquet:<int>..<int>]]}, projection=[w_warehouse_sk, w_warehouse_name], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/warehouse/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/warehouse/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/warehouse/part-3.parquet:<int>..<int>]]}, projection=[w_warehouse_sk, w_warehouse_name], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/warehouse/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/warehouse/part-3.parquet:<int>..<int>]]}, projection=[w_warehouse_sk, w_warehouse_name], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 3 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk], file_type=parquet
              └──────────────────────────────────────────────────
          ┌───── Stage 10 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ RepartitionExec: partitioning=Hash([i_item_sk@1, w_warehouse_sk@0], 3), input_partitions=3
          │   ProjectionExec: expr=[w_warehouse_sk@0 as w_warehouse_sk, i_item_sk@1 as i_item_sk, d_moy@2 as d_moy, avg(inventory.inv_quantity_on_hand)@4 as mean, CASE avg(inventory.inv_quantity_on_hand)@4 WHEN 0 THEN NULL ELSE stddev(inventory.inv_quantity_on_hand)@3 / avg(inventory.inv_quantity_on_hand)@4 END as cov]
          │     FilterExec: CASE avg(inventory.inv_quantity_on_hand)@4 WHEN 0 THEN 0 ELSE stddev(inventory.inv_quantity_on_hand)@3 / avg(inventory.inv_quantity_on_hand)@4 END > 1
          │       ProjectionExec: expr=[w_warehouse_sk@1 as w_warehouse_sk, i_item_sk@2 as i_item_sk, d_moy@3 as d_moy, stddev(inventory.inv_quantity_on_hand)@4 as stddev(inventory.inv_quantity_on_hand), avg(inventory.inv_quantity_on_hand)@5 as avg(inventory.inv_quantity_on_hand)]
          │         AggregateExec: mode=FinalPartitioned, gby=[w_warehouse_name@0 as w_warehouse_name, w_warehouse_sk@1 as w_warehouse_sk, i_item_sk@2 as i_item_sk, d_moy@3 as d_moy], aggr=[stddev(inventory.inv_quantity_on_hand), avg(inventory.inv_quantity_on_hand)], ordering_mode=PartiallySorted([3])
          │           [Stage 9] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 9 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([w_warehouse_name@0, w_warehouse_sk@1, i_item_sk@2, d_moy@3], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[w_warehouse_name@3 as w_warehouse_name, w_warehouse_sk@2 as w_warehouse_sk, i_item_sk@1 as i_item_sk, d_moy@4 as d_moy], aggr=[stddev(inventory.inv_quantity_on_hand), avg(inventory.inv_quantity_on_hand)], ordering_mode=PartiallySorted([3])
            │     ProjectionExec: expr=[CAST(inv_quantity_on_hand@0 AS Float64) as __common_expr_2, i_item_sk@1 as i_item_sk, w_warehouse_sk@2 as w_warehouse_sk, w_warehouse_name@3 as w_warehouse_name, d_moy@4 as d_moy]
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, inv_date_sk@0)], projection=[inv_quantity_on_hand@3, i_item_sk@4, w_warehouse_sk@5, w_warehouse_name@6, d_moy@1]
            │         CoalescePartitionsExec
            │           [Stage 6] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(w_warehouse_sk@0, inv_warehouse_sk@1)], projection=[inv_date_sk@2, inv_quantity_on_hand@4, i_item_sk@5, w_warehouse_sk@0, w_warehouse_name@1]
            │           CoalescePartitionsExec
            │             [Stage 7] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │           HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, inv_item_sk@1)], projection=[inv_date_sk@1, inv_warehouse_sk@3, inv_quantity_on_hand@4, i_item_sk@0]
            │             CoalescePartitionsExec
            │               [Stage 8] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │             DistributedLeafExec:
            │               t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/inventory/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/inventory/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/inventory/part-2.parquet:<int>..<int>]]}, projection=[inv_date_sk, inv_item_sk, inv_warehouse_sk, inv_quantity_on_hand], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │               t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/inventory/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/inventory/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/inventory/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/inventory/part-3.parquet:<int>..<int>]]}, projection=[inv_date_sk, inv_item_sk, inv_warehouse_sk, inv_quantity_on_hand], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │               t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/inventory/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/inventory/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/inventory/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/inventory/part-3.parquet:<int>..<int>]]}, projection=[inv_date_sk, inv_item_sk, inv_warehouse_sk, inv_quantity_on_hand], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │               t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/inventory/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/inventory/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/inventory/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/inventory/part-3.parquet:<int>..<int>]]}, projection=[inv_date_sk, inv_item_sk, inv_warehouse_sk, inv_quantity_on_hand], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 6 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_year@1 = 2001 AND d_moy@2 = 2, projection=[d_date_sk@0, d_moy@2]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001 AND d_moy@8 = 2, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 2 AND 2 <= d_moy_max@5, required_guarantees=[d_moy in (2), d_year in (2001)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001 AND d_moy@8 = 2, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 2 AND 2 <= d_moy_max@5, required_guarantees=[d_moy in (2), d_year in (2001)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001 AND d_moy@8 = 2, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 2 AND 2 <= d_moy_max@5, required_guarantees=[d_moy in (2), d_year in (2001)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001 AND d_moy@8 = 2, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 2 AND 2 <= d_moy_max@5, required_guarantees=[d_moy in (2), d_year in (2001)]
              └──────────────────────────────────────────────────
              ┌───── Stage 7 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/warehouse/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/warehouse/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/warehouse/part-1.parquet:<int>..<int>]]}, projection=[w_warehouse_sk, w_warehouse_name], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/warehouse/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/warehouse/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/warehouse/part-2.parquet:<int>..<int>]]}, projection=[w_warehouse_sk, w_warehouse_name], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/warehouse/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/warehouse/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/warehouse/part-3.parquet:<int>..<int>]]}, projection=[w_warehouse_sk, w_warehouse_name], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/warehouse/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/warehouse/part-3.parquet:<int>..<int>]]}, projection=[w_warehouse_sk, w_warehouse_name], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 8 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk], file_type=parquet
              └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_40() -> Result<()> {
        let display = test_tpcds_query("q40").await?;
        assert_snapshot!(display, @r#"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [w_state@0 ASC NULLS LAST, i_item_id@1 ASC NULLS LAST], fetch=100
        │   [Stage 7] => NetworkCoalesceExec: output_partitions=6, input_tasks=2
        └──────────────────────────────────────────────────
          ┌───── Stage 7 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ SortExec: TopK(fetch=100), expr=[w_state@0 ASC NULLS LAST, i_item_id@1 ASC NULLS LAST], preserve_partitioning=[true]
          │   ProjectionExec: expr=[w_state@0 as w_state, i_item_id@1 as i_item_id, sum(CASE WHEN date_dim.d_date < Utf8("2000-03-11") THEN catalog_sales.cs_sales_price - coalesce(catalog_returns.cr_refunded_cash,Int64(0)) ELSE Int64(0) END)@2 as sales_before, sum(CASE WHEN date_dim.d_date >= Utf8("2000-03-11") THEN catalog_sales.cs_sales_price - coalesce(catalog_returns.cr_refunded_cash,Int64(0)) ELSE Int64(0) END)@3 as sales_after]
          │     AggregateExec: mode=FinalPartitioned, gby=[w_state@0 as w_state, i_item_id@1 as i_item_id], aggr=[sum(CASE WHEN __common_expr_1 < 2000-03-11 THEN catalog_sales.cs_sales_price - CASE WHEN catalog_returns.cr_refunded_cash IS NOT NULL THEN catalog_returns.cr_refunded_cash ELSE Some(0),22,2 END ELSE Some(0),23,2 END) as sum(CASE WHEN date_dim.d_date < Utf8("2000-03-11") THEN catalog_sales.cs_sales_price - coalesce(catalog_returns.cr_refunded_cash,Int64(0)) ELSE Int64(0) END), sum(CASE WHEN __common_expr_1 >= 2000-03-11 THEN catalog_sales.cs_sales_price - CASE WHEN catalog_returns.cr_refunded_cash IS NOT NULL THEN catalog_returns.cr_refunded_cash ELSE Some(0),22,2 END ELSE Some(0),23,2 END) as sum(CASE WHEN date_dim.d_date >= Utf8("2000-03-11") THEN catalog_sales.cs_sales_price - coalesce(catalog_returns.cr_refunded_cash,Int64(0)) ELSE Int64(0) END)]
          │       [Stage 6] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 6 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([w_state@0, i_item_id@1], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[w_state@3 as w_state, i_item_id@4 as i_item_id], aggr=[sum(CASE WHEN __common_expr_1 < 2000-03-11 THEN catalog_sales.cs_sales_price - CASE WHEN catalog_returns.cr_refunded_cash IS NOT NULL THEN catalog_returns.cr_refunded_cash ELSE Some(0),22,2 END ELSE Some(0),23,2 END) as sum(CASE WHEN date_dim.d_date < Utf8("2000-03-11") THEN catalog_sales.cs_sales_price - coalesce(catalog_returns.cr_refunded_cash,Int64(0)) ELSE Int64(0) END), sum(CASE WHEN __common_expr_1 >= 2000-03-11 THEN catalog_sales.cs_sales_price - CASE WHEN catalog_returns.cr_refunded_cash IS NOT NULL THEN catalog_returns.cr_refunded_cash ELSE Some(0),22,2 END ELSE Some(0),23,2 END) as sum(CASE WHEN date_dim.d_date >= Utf8("2000-03-11") THEN catalog_sales.cs_sales_price - coalesce(catalog_returns.cr_refunded_cash,Int64(0)) ELSE Int64(0) END)]
            │     ProjectionExec: expr=[d_date@0 as __common_expr_1, cs_sales_price@1 as cs_sales_price, cr_refunded_cash@2 as cr_refunded_cash, w_state@3 as w_state, i_item_id@4 as i_item_id]
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, cs_sold_date_sk@0)], projection=[d_date@1, cs_sales_price@3, cr_refunded_cash@4, w_state@5, i_item_id@6]
            │         CoalescePartitionsExec
            │           [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, cs_item_sk@1)], projection=[cs_sold_date_sk@2, cs_sales_price@4, cr_refunded_cash@5, w_state@6, i_item_id@1]
            │           CoalescePartitionsExec
            │             [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │           HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(w_warehouse_sk@0, cs_warehouse_sk@1)], projection=[cs_sold_date_sk@2, cs_item_sk@4, cs_sales_price@5, cr_refunded_cash@6, w_state@1]
            │             CoalescePartitionsExec
            │               [Stage 3] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │             HashJoinExec: mode=Partitioned, join_type=Right, on=[(cr_order_number@1, cs_order_number@3), (cr_item_sk@0, cs_item_sk@2)], projection=[cs_sold_date_sk@3, cs_warehouse_sk@4, cs_item_sk@5, cs_sales_price@7, cr_refunded_cash@2]
            │               [Stage 4] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            │               [Stage 5] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            └──────────────────────────────────────────────────
              ┌───── Stage 1 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_date@1 >= 2000-02-10 AND d_date@1 <= 2000-04-10
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-02-10 AND d_date@2 <= 2000-04-10, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-02-10 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-04-10, required_guarantees=[]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-02-10 AND d_date@2 <= 2000-04-10, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-02-10 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-04-10, required_guarantees=[]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-02-10 AND d_date@2 <= 2000-04-10, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-02-10 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-04-10, required_guarantees=[]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-02-10 AND d_date@2 <= 2000-04-10, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-02-10 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-04-10, required_guarantees=[]
              └──────────────────────────────────────────────────
              ┌───── Stage 2 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: i_current_price@2 >= Some(99),7,2 AND i_current_price@2 <= Some(149),7,2, projection=[i_item_sk@0, i_item_id@1]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id, i_current_price], file_type=parquet, predicate=i_current_price@5 >= Some(99),7,2 AND i_current_price@5 <= Some(149),7,2, pruning_predicate=i_current_price_null_count@1 != row_count@2 AND i_current_price_max@0 >= Some(99),7,2 AND i_current_price_null_count@1 != row_count@2 AND i_current_price_min@3 <= Some(149),7,2, required_guarantees=[]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id, i_current_price], file_type=parquet, predicate=i_current_price@5 >= Some(99),7,2 AND i_current_price@5 <= Some(149),7,2, pruning_predicate=i_current_price_null_count@1 != row_count@2 AND i_current_price_max@0 >= Some(99),7,2 AND i_current_price_null_count@1 != row_count@2 AND i_current_price_min@3 <= Some(149),7,2, required_guarantees=[]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id, i_current_price], file_type=parquet, predicate=i_current_price@5 >= Some(99),7,2 AND i_current_price@5 <= Some(149),7,2, pruning_predicate=i_current_price_null_count@1 != row_count@2 AND i_current_price_max@0 >= Some(99),7,2 AND i_current_price_null_count@1 != row_count@2 AND i_current_price_min@3 <= Some(149),7,2, required_guarantees=[]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id, i_current_price], file_type=parquet, predicate=i_current_price@5 >= Some(99),7,2 AND i_current_price@5 <= Some(149),7,2, pruning_predicate=i_current_price_null_count@1 != row_count@2 AND i_current_price_max@0 >= Some(99),7,2 AND i_current_price_null_count@1 != row_count@2 AND i_current_price_min@3 <= Some(149),7,2, required_guarantees=[]
              └──────────────────────────────────────────────────
              ┌───── Stage 3 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/warehouse/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/warehouse/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/warehouse/part-1.parquet:<int>..<int>]]}, projection=[w_warehouse_sk, w_state], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/warehouse/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/warehouse/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/warehouse/part-2.parquet:<int>..<int>]]}, projection=[w_warehouse_sk, w_state], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/warehouse/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/warehouse/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/warehouse/part-3.parquet:<int>..<int>]]}, projection=[w_warehouse_sk, w_state], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/warehouse/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/warehouse/part-3.parquet:<int>..<int>]]}, projection=[w_warehouse_sk, w_state], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 4 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
              │ RepartitionExec: partitioning=Hash([cr_order_number@1, cr_item_sk@0], 12), input_partitions=3
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>]]}, projection=[cr_item_sk, cr_order_number, cr_refunded_cash], file_type=parquet
              │     t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-3.parquet:<int>..<int>]]}, projection=[cr_item_sk, cr_order_number, cr_refunded_cash], file_type=parquet
              │     t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-3.parquet:<int>..<int>]]}, projection=[cr_item_sk, cr_order_number, cr_refunded_cash], file_type=parquet
              │     t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-3.parquet:<int>..<int>]]}, projection=[cr_item_sk, cr_order_number, cr_refunded_cash], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 5 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
              │ RepartitionExec: partitioning=Hash([cs_order_number@3, cs_item_sk@2], 12), input_partitions=3
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_warehouse_sk, cs_item_sk, cs_order_number, cs_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │     t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_warehouse_sk, cs_item_sk, cs_order_number, cs_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │     t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_warehouse_sk, cs_item_sk, cs_order_number, cs_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │     t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_warehouse_sk, cs_item_sk, cs_order_number, cs_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
        "#);
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_41() -> Result<()> {
        let display = test_tpcds_query("q41").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [i_product_name@0 ASC NULLS LAST], fetch=100
        │   SortExec: TopK(fetch=100), expr=[i_product_name@0 ASC NULLS LAST], preserve_partitioning=[true]
        │     AggregateExec: mode=FinalPartitioned, gby=[i_product_name@0 as i_product_name], aggr=[], lim=[100]
        │       [Stage 3] => NetworkShuffleExec: output_partitions=3, input_tasks=4
        └──────────────────────────────────────────────────
          ┌───── Stage 3 ── Tasks: t0:[p0..p2] t1:[p0..p2] t2:[p0..p2] t3:[p0..p2]
          │ RepartitionExec: partitioning=Hash([i_product_name@0], 3), input_partitions=3
          │   AggregateExec: mode=Partial, gby=[i_product_name@0 as i_product_name], aggr=[], lim=[100]
          │     FilterExec: CASE WHEN __always_true@2 IS NULL THEN 0 ELSE item_cnt@1 END > 0, projection=[i_product_name@0]
          │       HashJoinExec: mode=CollectLeft, join_type=Right, on=[(i_manufact@1, i_manufact@0)], projection=[i_product_name@4, item_cnt@0, __always_true@2]
          │         CoalescePartitionsExec
          │           [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=1
          │         FilterExec: i_manufact_id@0 >= 738 AND i_manufact_id@0 <= 778, projection=[i_manufact@1, i_product_name@2]
          │           RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
          │             DistributedLeafExec:
          │               t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_manufact_id, i_manufact, i_product_name], file_type=parquet, predicate=i_manufact_id@13 >= 738 AND i_manufact_id@13 <= 778 AND DynamicFilter [ empty ], pruning_predicate=i_manufact_id_null_count@1 != row_count@2 AND i_manufact_id_max@0 >= 738 AND i_manufact_id_null_count@1 != row_count@2 AND i_manufact_id_min@3 <= 778, required_guarantees=[]
          │               t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_manufact_id, i_manufact, i_product_name], file_type=parquet, predicate=i_manufact_id@13 >= 738 AND i_manufact_id@13 <= 778 AND DynamicFilter [ empty ], pruning_predicate=i_manufact_id_null_count@1 != row_count@2 AND i_manufact_id_max@0 >= 738 AND i_manufact_id_null_count@1 != row_count@2 AND i_manufact_id_min@3 <= 778, required_guarantees=[]
          │               t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_manufact_id, i_manufact, i_product_name], file_type=parquet, predicate=i_manufact_id@13 >= 738 AND i_manufact_id@13 <= 778 AND DynamicFilter [ empty ], pruning_predicate=i_manufact_id_null_count@1 != row_count@2 AND i_manufact_id_max@0 >= 738 AND i_manufact_id_null_count@1 != row_count@2 AND i_manufact_id_min@3 <= 778, required_guarantees=[]
          │               t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_manufact_id, i_manufact, i_product_name], file_type=parquet, predicate=i_manufact_id@13 >= 738 AND i_manufact_id@13 <= 778 AND DynamicFilter [ empty ], pruning_predicate=i_manufact_id_null_count@1 != row_count@2 AND i_manufact_id_max@0 >= 738 AND i_manufact_id_null_count@1 != row_count@2 AND i_manufact_id_min@3 <= 778, required_guarantees=[]
          └──────────────────────────────────────────────────
            ┌───── Stage 2 ── Tasks: t0:[p0..p11]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   ProjectionExec: expr=[count(Int64(1))@1 as item_cnt, i_manufact@0 as i_manufact, true as __always_true]
            │     AggregateExec: mode=FinalPartitioned, gby=[i_manufact@0 as i_manufact], aggr=[count(Int64(1))]
            │       [Stage 1] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            └──────────────────────────────────────────────────
              ┌───── Stage 1 ── Tasks: t0:[p0..p2] t1:[p0..p2] t2:[p0..p2] t3:[p0..p2]
              │ RepartitionExec: partitioning=Hash([i_manufact@0], 3), input_partitions=3
              │   AggregateExec: mode=Partial, gby=[i_manufact@0 as i_manufact], aggr=[count(Int64(1))]
              │     FilterExec: __common_expr_4@0 AND ((i_color@4 = powder OR i_color@4 = khaki) AND (i_units@5 = Ounce OR i_units@5 = Oz) AND (i_size@3 = medium OR i_size@3 = extra large) OR (i_color@4 = brown OR i_color@4 = honeydew) AND (i_units@5 = Bunch OR i_units@5 = Ton) AND (i_size@3 = N/A OR i_size@3 = small)) OR i_category@1 = Men AND (i_color@4 = floral OR i_color@4 = deep) AND (i_units@5 = N/A OR i_units@5 = Dozen) AND i_size@3 = petite OR i_category@1 = Men AND (i_color@4 = light OR i_color@4 = cornflower) AND (i_units@5 = Box OR i_units@5 = Pound) AND (i_size@3 = medium OR i_size@3 = extra large) OR __common_expr_4@0 AND ((i_color@4 = midnight OR i_color@4 = snow) AND (i_units@5 = Pallet OR i_units@5 = Gross) AND (i_size@3 = medium OR i_size@3 = extra large) OR (i_color@4 = cyan OR i_color@4 = papaya) AND (i_units@5 = Cup OR i_units@5 = Dram) AND (i_size@3 = N/A OR i_size@3 = small)) OR i_category@1 = Men AND (i_color@4 = orange OR i_color@4 = frosted) AND (i_units@5 = Each OR i_units@5 = Tbl) AND i_size@3 = petite OR i_category@1 = Men AND (i_color@4 = forest OR i_color@4 = ghost) AND (i_units@5 = Lb OR i_units@5 = Bundle) AND (i_size@3 = medium OR i_size@3 = extra large), projection=[i_manufact@2]
              │       ProjectionExec: expr=[i_category@0 = Women as __common_expr_4, i_category@0 as i_category, i_manufact@1 as i_manufact, i_size@2 as i_size, i_color@3 as i_color, i_units@4 as i_units]
              │         RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │           DistributedLeafExec:
              │             t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_category, i_manufact, i_size, i_color, i_units], file_type=parquet, predicate=i_category@12 = Women AND ((i_color@17 = powder OR i_color@17 = khaki) AND (i_units@18 = Ounce OR i_units@18 = Oz) AND (i_size@15 = medium OR i_size@15 = extra large) OR (i_color@17 = brown OR i_color@17 = honeydew) AND (i_units@18 = Bunch OR i_units@18 = Ton) AND (i_size@15 = N/A OR i_size@15 = small)) OR i_category@12 = Men AND (i_color@17 = floral OR i_color@17 = deep) AND (i_units@18 = N/A OR i_units@18 = Dozen) AND i_size@15 = petite OR i_category@12 = Men AND (i_color@17 = light OR i_color@17 = cornflower) AND (i_units@18 = Box OR i_units@18 = Pound) AND (i_size@15 = medium OR i_size@15 = extra large) OR i_category@12 = Women AND ((i_color@17 = midnight OR i_color@17 = snow) AND (i_units@18 = Pallet OR i_units@18 = Gross) AND (i_size@15 = medium OR i_size@15 = extra large) OR (i_color@17 = cyan OR i_color@17 = papaya) AND (i_units@18 = Cup OR i_units@18 = Dram) AND (i_size@15 = N/A OR i_size@15 = small)) OR i_category@12 = Men AND (i_color@17 = orange OR i_color@17 = frosted) AND (i_units@18 = Each OR i_units@18 = Tbl) AND i_size@15 = petite OR i_category@12 = Men AND (i_color@17 = forest OR i_color@17 = ghost) AND (i_units@18 = Lb OR i_units@18 = Bundle) AND (i_size@15 = medium OR i_size@15 = extra large), pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Women AND Women <= i_category_max@1 AND ((i_color_null_count@6 != row_count@3 AND i_color_min@4 <= powder AND powder <= i_color_max@5 OR i_color_null_count@6 != row_count@3 AND i_color_min@4 <= khaki AND khaki <= i_color_max@5) AND (i_units_null_count@9 != row_count@3 AND i_units_min@7 <= Ounce AND Ounce <= i_units_max@8 OR i_units_null_count@9 != row_count@3 AND i_units_min@7 <= Oz AND Oz <= i_units_max@8) AND (i_size_null_count@12 != row_count@3 AND i_size_min@10 <= medium AND medium <= i_size_max@11 OR i_size_null_count@12 != row_count@3 AND i_size_min@10 <= extra large AND extra large <= i_size_max@11) OR (i_color_null_count@6 != row_count@3 AND i_color_min@4 <= brown AND brown <= i_color_max@5 OR i_color_null_count@6 != row_count@3 AND i_color_min@4 <= honeydew AND honeydew <= i_color_max@5) AND (i_units_null_count@9 != row_count@3 AND i_units_min@7 <= Bunch AND Bunch <= i_units_max@8 OR i_units_null_count@9 != row_count@3 AND i_units_min@7 <= Ton AND Ton <= i_units_max@8) AND (i_size_null_count@12 != row_count@3 AND i_size_min@10 <= N/A AND N/A <= i_size_max@11 OR i_size_null_count@12 != row_count@3 AND i_size_min@10 <= small AND small <= i_size_max@11)) OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Men AND Men <= i_category_max@1 AND (i_color_null_count@6 != row_count@3 AND i_color_min@4 <= floral AND floral <= i_color_max@5 OR i_color_null_count@6 != row_count@3 AND i_color_min@4 <= deep AND deep <= i_color_max@5) AND (i_units_null_count@9 != row_count@3 AND i_units_min@7 <= N/A AND N/A <= i_units_max@8 OR i_units_null_count@9 != row_count@3 AND i_units_min@7 <= Dozen AND Dozen <= i_units_max@8) AND i_size_null_count@12 != row_count@3 AND i_size_min@10 <= petite AND petite <= i_size_max@11 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Men AND Men <= i_category_max@1 AND (i_color_null_count@6 != row_count@3 AND i_color_min@4 <= light AND light <= i_color_max@5 OR i_color_null_count@6 != row_count@3 AND i_color_min@4 <= cornflower AND cornflower <= i_color_max@5) AND (i_units_null_count@9 != row_count@3 AND i_units_min@7 <= Box AND Box <= i_units_max@8 OR i_units_null_count@9 != row_count@3 AND i_units_min@7 <= Pound AND Pound <= i_units_max@8) AND (i_size_null_count@12 != row_count@3 AND i_size_min@10 <= medium AND medium <= i_size_max@11 OR i_size_null_count@12 != row_count@3 AND i_size_min@10 <= extra large AND extra large <= i_size_max@11) OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Women AND Women <= i_category_max@1 AND ((i_color_null_count@6 != row_count@3 AND i_color_min@4 <= midnight AND midnight <= i_color_max@5 OR i_color_null_count@6 != row_count@3 AND i_color_min@4 <= snow AND snow <= i_color_max@5) AND (i_units_null_count@9 != row_count@3 AND i_units_min@7 <= Pallet AND Pallet <= i_units_max@8 OR i_units_null_count@9 != row_count@3 AND i_units_min@7 <= Gross AND Gross <= i_units_max@8) AND (i_size_null_count@12 != row_count@3 AND i_size_min@10 <= medium AND medium <= i_size_max@11 OR i_size_null_count@12 != row_count@3 AND i_size_min@10 <= extra large AND extra large <= i_size_max@11) OR (i_color_null_count@6 != row_count@3 AND i_color_min@4 <= cyan AND cyan <= i_color_max@5 OR i_color_null_count@6 != row_count@3 AND i_color_min@4 <= papaya AND papaya <= i_color_max@5) AND (i_units_null_count@9 != row_count@3 AND i_units_min@7 <= Cup AND Cup <= i_units_max@8 OR i_units_null_count@9 != row_count@3 AND i_units_min@7 <= Dram AND Dram <= i_units_max@8) AND (i_size_null_count@12 != row_count@3 AND i_size_min@10 <= N/A AND N/A <= i_size_max@11 OR i_size_null_count@12 != row_count@3 AND i_size_min@10 <= small AND small <= i_size_max@11)) OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Men AND Men <= i_category_max@1 AND (i_color_null_count@6 != row_count@3 AND i_color_min@4 <= orange AND orange <= i_color_max@5 OR i_color_null_count@6 != row_count@3 AND i_color_min@4 <= frosted AND frosted <= i_color_max@5) AND (i_units_null_count@9 != row_count@3 AND i_units_min@7 <= Each AND Each <= i_units_max@8 OR i_units_null_count@9 != row_count@3 AND i_units_min@7 <= Tbl AND Tbl <= i_units_max@8) AND i_size_null_count@12 != row_count@3 AND i_size_min@10 <= petite AND petite <= i_size_max@11 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Men AND Men <= i_category_max@1 AND (i_color_null_count@6 != row_count@3 AND i_color_min@4 <= forest AND forest <= i_color_max@5 OR i_color_null_count@6 != row_count@3 AND i_color_min@4 <= ghost AND ghost <= i_color_max@5) AND (i_units_null_count@9 != row_count@3 AND i_units_min@7 <= Lb AND Lb <= i_units_max@8 OR i_units_null_count@9 != row_count@3 AND i_units_min@7 <= Bundle AND Bundle <= i_units_max@8) AND (i_size_null_count@12 != row_count@3 AND i_size_min@10 <= medium AND medium <= i_size_max@11 OR i_size_null_count@12 != row_count@3 AND i_size_min@10 <= extra large AND extra large <= i_size_max@11), required_guarantees=[i_category in (Men, Women)]
              │             t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_category, i_manufact, i_size, i_color, i_units], file_type=parquet, predicate=i_category@12 = Women AND ((i_color@17 = powder OR i_color@17 = khaki) AND (i_units@18 = Ounce OR i_units@18 = Oz) AND (i_size@15 = medium OR i_size@15 = extra large) OR (i_color@17 = brown OR i_color@17 = honeydew) AND (i_units@18 = Bunch OR i_units@18 = Ton) AND (i_size@15 = N/A OR i_size@15 = small)) OR i_category@12 = Men AND (i_color@17 = floral OR i_color@17 = deep) AND (i_units@18 = N/A OR i_units@18 = Dozen) AND i_size@15 = petite OR i_category@12 = Men AND (i_color@17 = light OR i_color@17 = cornflower) AND (i_units@18 = Box OR i_units@18 = Pound) AND (i_size@15 = medium OR i_size@15 = extra large) OR i_category@12 = Women AND ((i_color@17 = midnight OR i_color@17 = snow) AND (i_units@18 = Pallet OR i_units@18 = Gross) AND (i_size@15 = medium OR i_size@15 = extra large) OR (i_color@17 = cyan OR i_color@17 = papaya) AND (i_units@18 = Cup OR i_units@18 = Dram) AND (i_size@15 = N/A OR i_size@15 = small)) OR i_category@12 = Men AND (i_color@17 = orange OR i_color@17 = frosted) AND (i_units@18 = Each OR i_units@18 = Tbl) AND i_size@15 = petite OR i_category@12 = Men AND (i_color@17 = forest OR i_color@17 = ghost) AND (i_units@18 = Lb OR i_units@18 = Bundle) AND (i_size@15 = medium OR i_size@15 = extra large), pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Women AND Women <= i_category_max@1 AND ((i_color_null_count@6 != row_count@3 AND i_color_min@4 <= powder AND powder <= i_color_max@5 OR i_color_null_count@6 != row_count@3 AND i_color_min@4 <= khaki AND khaki <= i_color_max@5) AND (i_units_null_count@9 != row_count@3 AND i_units_min@7 <= Ounce AND Ounce <= i_units_max@8 OR i_units_null_count@9 != row_count@3 AND i_units_min@7 <= Oz AND Oz <= i_units_max@8) AND (i_size_null_count@12 != row_count@3 AND i_size_min@10 <= medium AND medium <= i_size_max@11 OR i_size_null_count@12 != row_count@3 AND i_size_min@10 <= extra large AND extra large <= i_size_max@11) OR (i_color_null_count@6 != row_count@3 AND i_color_min@4 <= brown AND brown <= i_color_max@5 OR i_color_null_count@6 != row_count@3 AND i_color_min@4 <= honeydew AND honeydew <= i_color_max@5) AND (i_units_null_count@9 != row_count@3 AND i_units_min@7 <= Bunch AND Bunch <= i_units_max@8 OR i_units_null_count@9 != row_count@3 AND i_units_min@7 <= Ton AND Ton <= i_units_max@8) AND (i_size_null_count@12 != row_count@3 AND i_size_min@10 <= N/A AND N/A <= i_size_max@11 OR i_size_null_count@12 != row_count@3 AND i_size_min@10 <= small AND small <= i_size_max@11)) OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Men AND Men <= i_category_max@1 AND (i_color_null_count@6 != row_count@3 AND i_color_min@4 <= floral AND floral <= i_color_max@5 OR i_color_null_count@6 != row_count@3 AND i_color_min@4 <= deep AND deep <= i_color_max@5) AND (i_units_null_count@9 != row_count@3 AND i_units_min@7 <= N/A AND N/A <= i_units_max@8 OR i_units_null_count@9 != row_count@3 AND i_units_min@7 <= Dozen AND Dozen <= i_units_max@8) AND i_size_null_count@12 != row_count@3 AND i_size_min@10 <= petite AND petite <= i_size_max@11 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Men AND Men <= i_category_max@1 AND (i_color_null_count@6 != row_count@3 AND i_color_min@4 <= light AND light <= i_color_max@5 OR i_color_null_count@6 != row_count@3 AND i_color_min@4 <= cornflower AND cornflower <= i_color_max@5) AND (i_units_null_count@9 != row_count@3 AND i_units_min@7 <= Box AND Box <= i_units_max@8 OR i_units_null_count@9 != row_count@3 AND i_units_min@7 <= Pound AND Pound <= i_units_max@8) AND (i_size_null_count@12 != row_count@3 AND i_size_min@10 <= medium AND medium <= i_size_max@11 OR i_size_null_count@12 != row_count@3 AND i_size_min@10 <= extra large AND extra large <= i_size_max@11) OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Women AND Women <= i_category_max@1 AND ((i_color_null_count@6 != row_count@3 AND i_color_min@4 <= midnight AND midnight <= i_color_max@5 OR i_color_null_count@6 != row_count@3 AND i_color_min@4 <= snow AND snow <= i_color_max@5) AND (i_units_null_count@9 != row_count@3 AND i_units_min@7 <= Pallet AND Pallet <= i_units_max@8 OR i_units_null_count@9 != row_count@3 AND i_units_min@7 <= Gross AND Gross <= i_units_max@8) AND (i_size_null_count@12 != row_count@3 AND i_size_min@10 <= medium AND medium <= i_size_max@11 OR i_size_null_count@12 != row_count@3 AND i_size_min@10 <= extra large AND extra large <= i_size_max@11) OR (i_color_null_count@6 != row_count@3 AND i_color_min@4 <= cyan AND cyan <= i_color_max@5 OR i_color_null_count@6 != row_count@3 AND i_color_min@4 <= papaya AND papaya <= i_color_max@5) AND (i_units_null_count@9 != row_count@3 AND i_units_min@7 <= Cup AND Cup <= i_units_max@8 OR i_units_null_count@9 != row_count@3 AND i_units_min@7 <= Dram AND Dram <= i_units_max@8) AND (i_size_null_count@12 != row_count@3 AND i_size_min@10 <= N/A AND N/A <= i_size_max@11 OR i_size_null_count@12 != row_count@3 AND i_size_min@10 <= small AND small <= i_size_max@11)) OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Men AND Men <= i_category_max@1 AND (i_color_null_count@6 != row_count@3 AND i_color_min@4 <= orange AND orange <= i_color_max@5 OR i_color_null_count@6 != row_count@3 AND i_color_min@4 <= frosted AND frosted <= i_color_max@5) AND (i_units_null_count@9 != row_count@3 AND i_units_min@7 <= Each AND Each <= i_units_max@8 OR i_units_null_count@9 != row_count@3 AND i_units_min@7 <= Tbl AND Tbl <= i_units_max@8) AND i_size_null_count@12 != row_count@3 AND i_size_min@10 <= petite AND petite <= i_size_max@11 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Men AND Men <= i_category_max@1 AND (i_color_null_count@6 != row_count@3 AND i_color_min@4 <= forest AND forest <= i_color_max@5 OR i_color_null_count@6 != row_count@3 AND i_color_min@4 <= ghost AND ghost <= i_color_max@5) AND (i_units_null_count@9 != row_count@3 AND i_units_min@7 <= Lb AND Lb <= i_units_max@8 OR i_units_null_count@9 != row_count@3 AND i_units_min@7 <= Bundle AND Bundle <= i_units_max@8) AND (i_size_null_count@12 != row_count@3 AND i_size_min@10 <= medium AND medium <= i_size_max@11 OR i_size_null_count@12 != row_count@3 AND i_size_min@10 <= extra large AND extra large <= i_size_max@11), required_guarantees=[i_category in (Men, Women)]
              │             t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_category, i_manufact, i_size, i_color, i_units], file_type=parquet, predicate=i_category@12 = Women AND ((i_color@17 = powder OR i_color@17 = khaki) AND (i_units@18 = Ounce OR i_units@18 = Oz) AND (i_size@15 = medium OR i_size@15 = extra large) OR (i_color@17 = brown OR i_color@17 = honeydew) AND (i_units@18 = Bunch OR i_units@18 = Ton) AND (i_size@15 = N/A OR i_size@15 = small)) OR i_category@12 = Men AND (i_color@17 = floral OR i_color@17 = deep) AND (i_units@18 = N/A OR i_units@18 = Dozen) AND i_size@15 = petite OR i_category@12 = Men AND (i_color@17 = light OR i_color@17 = cornflower) AND (i_units@18 = Box OR i_units@18 = Pound) AND (i_size@15 = medium OR i_size@15 = extra large) OR i_category@12 = Women AND ((i_color@17 = midnight OR i_color@17 = snow) AND (i_units@18 = Pallet OR i_units@18 = Gross) AND (i_size@15 = medium OR i_size@15 = extra large) OR (i_color@17 = cyan OR i_color@17 = papaya) AND (i_units@18 = Cup OR i_units@18 = Dram) AND (i_size@15 = N/A OR i_size@15 = small)) OR i_category@12 = Men AND (i_color@17 = orange OR i_color@17 = frosted) AND (i_units@18 = Each OR i_units@18 = Tbl) AND i_size@15 = petite OR i_category@12 = Men AND (i_color@17 = forest OR i_color@17 = ghost) AND (i_units@18 = Lb OR i_units@18 = Bundle) AND (i_size@15 = medium OR i_size@15 = extra large), pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Women AND Women <= i_category_max@1 AND ((i_color_null_count@6 != row_count@3 AND i_color_min@4 <= powder AND powder <= i_color_max@5 OR i_color_null_count@6 != row_count@3 AND i_color_min@4 <= khaki AND khaki <= i_color_max@5) AND (i_units_null_count@9 != row_count@3 AND i_units_min@7 <= Ounce AND Ounce <= i_units_max@8 OR i_units_null_count@9 != row_count@3 AND i_units_min@7 <= Oz AND Oz <= i_units_max@8) AND (i_size_null_count@12 != row_count@3 AND i_size_min@10 <= medium AND medium <= i_size_max@11 OR i_size_null_count@12 != row_count@3 AND i_size_min@10 <= extra large AND extra large <= i_size_max@11) OR (i_color_null_count@6 != row_count@3 AND i_color_min@4 <= brown AND brown <= i_color_max@5 OR i_color_null_count@6 != row_count@3 AND i_color_min@4 <= honeydew AND honeydew <= i_color_max@5) AND (i_units_null_count@9 != row_count@3 AND i_units_min@7 <= Bunch AND Bunch <= i_units_max@8 OR i_units_null_count@9 != row_count@3 AND i_units_min@7 <= Ton AND Ton <= i_units_max@8) AND (i_size_null_count@12 != row_count@3 AND i_size_min@10 <= N/A AND N/A <= i_size_max@11 OR i_size_null_count@12 != row_count@3 AND i_size_min@10 <= small AND small <= i_size_max@11)) OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Men AND Men <= i_category_max@1 AND (i_color_null_count@6 != row_count@3 AND i_color_min@4 <= floral AND floral <= i_color_max@5 OR i_color_null_count@6 != row_count@3 AND i_color_min@4 <= deep AND deep <= i_color_max@5) AND (i_units_null_count@9 != row_count@3 AND i_units_min@7 <= N/A AND N/A <= i_units_max@8 OR i_units_null_count@9 != row_count@3 AND i_units_min@7 <= Dozen AND Dozen <= i_units_max@8) AND i_size_null_count@12 != row_count@3 AND i_size_min@10 <= petite AND petite <= i_size_max@11 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Men AND Men <= i_category_max@1 AND (i_color_null_count@6 != row_count@3 AND i_color_min@4 <= light AND light <= i_color_max@5 OR i_color_null_count@6 != row_count@3 AND i_color_min@4 <= cornflower AND cornflower <= i_color_max@5) AND (i_units_null_count@9 != row_count@3 AND i_units_min@7 <= Box AND Box <= i_units_max@8 OR i_units_null_count@9 != row_count@3 AND i_units_min@7 <= Pound AND Pound <= i_units_max@8) AND (i_size_null_count@12 != row_count@3 AND i_size_min@10 <= medium AND medium <= i_size_max@11 OR i_size_null_count@12 != row_count@3 AND i_size_min@10 <= extra large AND extra large <= i_size_max@11) OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Women AND Women <= i_category_max@1 AND ((i_color_null_count@6 != row_count@3 AND i_color_min@4 <= midnight AND midnight <= i_color_max@5 OR i_color_null_count@6 != row_count@3 AND i_color_min@4 <= snow AND snow <= i_color_max@5) AND (i_units_null_count@9 != row_count@3 AND i_units_min@7 <= Pallet AND Pallet <= i_units_max@8 OR i_units_null_count@9 != row_count@3 AND i_units_min@7 <= Gross AND Gross <= i_units_max@8) AND (i_size_null_count@12 != row_count@3 AND i_size_min@10 <= medium AND medium <= i_size_max@11 OR i_size_null_count@12 != row_count@3 AND i_size_min@10 <= extra large AND extra large <= i_size_max@11) OR (i_color_null_count@6 != row_count@3 AND i_color_min@4 <= cyan AND cyan <= i_color_max@5 OR i_color_null_count@6 != row_count@3 AND i_color_min@4 <= papaya AND papaya <= i_color_max@5) AND (i_units_null_count@9 != row_count@3 AND i_units_min@7 <= Cup AND Cup <= i_units_max@8 OR i_units_null_count@9 != row_count@3 AND i_units_min@7 <= Dram AND Dram <= i_units_max@8) AND (i_size_null_count@12 != row_count@3 AND i_size_min@10 <= N/A AND N/A <= i_size_max@11 OR i_size_null_count@12 != row_count@3 AND i_size_min@10 <= small AND small <= i_size_max@11)) OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Men AND Men <= i_category_max@1 AND (i_color_null_count@6 != row_count@3 AND i_color_min@4 <= orange AND orange <= i_color_max@5 OR i_color_null_count@6 != row_count@3 AND i_color_min@4 <= frosted AND frosted <= i_color_max@5) AND (i_units_null_count@9 != row_count@3 AND i_units_min@7 <= Each AND Each <= i_units_max@8 OR i_units_null_count@9 != row_count@3 AND i_units_min@7 <= Tbl AND Tbl <= i_units_max@8) AND i_size_null_count@12 != row_count@3 AND i_size_min@10 <= petite AND petite <= i_size_max@11 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Men AND Men <= i_category_max@1 AND (i_color_null_count@6 != row_count@3 AND i_color_min@4 <= forest AND forest <= i_color_max@5 OR i_color_null_count@6 != row_count@3 AND i_color_min@4 <= ghost AND ghost <= i_color_max@5) AND (i_units_null_count@9 != row_count@3 AND i_units_min@7 <= Lb AND Lb <= i_units_max@8 OR i_units_null_count@9 != row_count@3 AND i_units_min@7 <= Bundle AND Bundle <= i_units_max@8) AND (i_size_null_count@12 != row_count@3 AND i_size_min@10 <= medium AND medium <= i_size_max@11 OR i_size_null_count@12 != row_count@3 AND i_size_min@10 <= extra large AND extra large <= i_size_max@11), required_guarantees=[i_category in (Men, Women)]
              │             t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_category, i_manufact, i_size, i_color, i_units], file_type=parquet, predicate=i_category@12 = Women AND ((i_color@17 = powder OR i_color@17 = khaki) AND (i_units@18 = Ounce OR i_units@18 = Oz) AND (i_size@15 = medium OR i_size@15 = extra large) OR (i_color@17 = brown OR i_color@17 = honeydew) AND (i_units@18 = Bunch OR i_units@18 = Ton) AND (i_size@15 = N/A OR i_size@15 = small)) OR i_category@12 = Men AND (i_color@17 = floral OR i_color@17 = deep) AND (i_units@18 = N/A OR i_units@18 = Dozen) AND i_size@15 = petite OR i_category@12 = Men AND (i_color@17 = light OR i_color@17 = cornflower) AND (i_units@18 = Box OR i_units@18 = Pound) AND (i_size@15 = medium OR i_size@15 = extra large) OR i_category@12 = Women AND ((i_color@17 = midnight OR i_color@17 = snow) AND (i_units@18 = Pallet OR i_units@18 = Gross) AND (i_size@15 = medium OR i_size@15 = extra large) OR (i_color@17 = cyan OR i_color@17 = papaya) AND (i_units@18 = Cup OR i_units@18 = Dram) AND (i_size@15 = N/A OR i_size@15 = small)) OR i_category@12 = Men AND (i_color@17 = orange OR i_color@17 = frosted) AND (i_units@18 = Each OR i_units@18 = Tbl) AND i_size@15 = petite OR i_category@12 = Men AND (i_color@17 = forest OR i_color@17 = ghost) AND (i_units@18 = Lb OR i_units@18 = Bundle) AND (i_size@15 = medium OR i_size@15 = extra large), pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Women AND Women <= i_category_max@1 AND ((i_color_null_count@6 != row_count@3 AND i_color_min@4 <= powder AND powder <= i_color_max@5 OR i_color_null_count@6 != row_count@3 AND i_color_min@4 <= khaki AND khaki <= i_color_max@5) AND (i_units_null_count@9 != row_count@3 AND i_units_min@7 <= Ounce AND Ounce <= i_units_max@8 OR i_units_null_count@9 != row_count@3 AND i_units_min@7 <= Oz AND Oz <= i_units_max@8) AND (i_size_null_count@12 != row_count@3 AND i_size_min@10 <= medium AND medium <= i_size_max@11 OR i_size_null_count@12 != row_count@3 AND i_size_min@10 <= extra large AND extra large <= i_size_max@11) OR (i_color_null_count@6 != row_count@3 AND i_color_min@4 <= brown AND brown <= i_color_max@5 OR i_color_null_count@6 != row_count@3 AND i_color_min@4 <= honeydew AND honeydew <= i_color_max@5) AND (i_units_null_count@9 != row_count@3 AND i_units_min@7 <= Bunch AND Bunch <= i_units_max@8 OR i_units_null_count@9 != row_count@3 AND i_units_min@7 <= Ton AND Ton <= i_units_max@8) AND (i_size_null_count@12 != row_count@3 AND i_size_min@10 <= N/A AND N/A <= i_size_max@11 OR i_size_null_count@12 != row_count@3 AND i_size_min@10 <= small AND small <= i_size_max@11)) OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Men AND Men <= i_category_max@1 AND (i_color_null_count@6 != row_count@3 AND i_color_min@4 <= floral AND floral <= i_color_max@5 OR i_color_null_count@6 != row_count@3 AND i_color_min@4 <= deep AND deep <= i_color_max@5) AND (i_units_null_count@9 != row_count@3 AND i_units_min@7 <= N/A AND N/A <= i_units_max@8 OR i_units_null_count@9 != row_count@3 AND i_units_min@7 <= Dozen AND Dozen <= i_units_max@8) AND i_size_null_count@12 != row_count@3 AND i_size_min@10 <= petite AND petite <= i_size_max@11 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Men AND Men <= i_category_max@1 AND (i_color_null_count@6 != row_count@3 AND i_color_min@4 <= light AND light <= i_color_max@5 OR i_color_null_count@6 != row_count@3 AND i_color_min@4 <= cornflower AND cornflower <= i_color_max@5) AND (i_units_null_count@9 != row_count@3 AND i_units_min@7 <= Box AND Box <= i_units_max@8 OR i_units_null_count@9 != row_count@3 AND i_units_min@7 <= Pound AND Pound <= i_units_max@8) AND (i_size_null_count@12 != row_count@3 AND i_size_min@10 <= medium AND medium <= i_size_max@11 OR i_size_null_count@12 != row_count@3 AND i_size_min@10 <= extra large AND extra large <= i_size_max@11) OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Women AND Women <= i_category_max@1 AND ((i_color_null_count@6 != row_count@3 AND i_color_min@4 <= midnight AND midnight <= i_color_max@5 OR i_color_null_count@6 != row_count@3 AND i_color_min@4 <= snow AND snow <= i_color_max@5) AND (i_units_null_count@9 != row_count@3 AND i_units_min@7 <= Pallet AND Pallet <= i_units_max@8 OR i_units_null_count@9 != row_count@3 AND i_units_min@7 <= Gross AND Gross <= i_units_max@8) AND (i_size_null_count@12 != row_count@3 AND i_size_min@10 <= medium AND medium <= i_size_max@11 OR i_size_null_count@12 != row_count@3 AND i_size_min@10 <= extra large AND extra large <= i_size_max@11) OR (i_color_null_count@6 != row_count@3 AND i_color_min@4 <= cyan AND cyan <= i_color_max@5 OR i_color_null_count@6 != row_count@3 AND i_color_min@4 <= papaya AND papaya <= i_color_max@5) AND (i_units_null_count@9 != row_count@3 AND i_units_min@7 <= Cup AND Cup <= i_units_max@8 OR i_units_null_count@9 != row_count@3 AND i_units_min@7 <= Dram AND Dram <= i_units_max@8) AND (i_size_null_count@12 != row_count@3 AND i_size_min@10 <= N/A AND N/A <= i_size_max@11 OR i_size_null_count@12 != row_count@3 AND i_size_min@10 <= small AND small <= i_size_max@11)) OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Men AND Men <= i_category_max@1 AND (i_color_null_count@6 != row_count@3 AND i_color_min@4 <= orange AND orange <= i_color_max@5 OR i_color_null_count@6 != row_count@3 AND i_color_min@4 <= frosted AND frosted <= i_color_max@5) AND (i_units_null_count@9 != row_count@3 AND i_units_min@7 <= Each AND Each <= i_units_max@8 OR i_units_null_count@9 != row_count@3 AND i_units_min@7 <= Tbl AND Tbl <= i_units_max@8) AND i_size_null_count@12 != row_count@3 AND i_size_min@10 <= petite AND petite <= i_size_max@11 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Men AND Men <= i_category_max@1 AND (i_color_null_count@6 != row_count@3 AND i_color_min@4 <= forest AND forest <= i_color_max@5 OR i_color_null_count@6 != row_count@3 AND i_color_min@4 <= ghost AND ghost <= i_color_max@5) AND (i_units_null_count@9 != row_count@3 AND i_units_min@7 <= Lb AND Lb <= i_units_max@8 OR i_units_null_count@9 != row_count@3 AND i_units_min@7 <= Bundle AND Bundle <= i_units_max@8) AND (i_size_null_count@12 != row_count@3 AND i_size_min@10 <= medium AND medium <= i_size_max@11 OR i_size_null_count@12 != row_count@3 AND i_size_min@10 <= extra large AND extra large <= i_size_max@11), required_guarantees=[i_category in (Men, Women)]
              └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_42() -> Result<()> {
        let display = test_tpcds_query("q42").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [sum(store_sales.ss_ext_sales_price)@3 DESC, d_year@0 ASC NULLS LAST, i_category_id@1 ASC NULLS LAST, i_category@2 ASC NULLS LAST], fetch=100
        │   [Stage 4] => NetworkCoalesceExec: output_partitions=6, input_tasks=2
        └──────────────────────────────────────────────────
          ┌───── Stage 4 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ SortExec: TopK(fetch=100), expr=[sum(store_sales.ss_ext_sales_price)@3 DESC, i_category_id@1 ASC NULLS LAST, i_category@2 ASC NULLS LAST], preserve_partitioning=[true]
          │   AggregateExec: mode=FinalPartitioned, gby=[d_year@0 as d_year, i_category_id@1 as i_category_id, i_category@2 as i_category], aggr=[sum(store_sales.ss_ext_sales_price)], ordering_mode=PartiallySorted([0])
          │     [Stage 3] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 3 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([d_year@0, i_category_id@1, i_category@2], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[d_year@0 as d_year, i_category_id@2 as i_category_id, i_category@3 as i_category], aggr=[sum(store_sales.ss_ext_sales_price)], ordering_mode=PartiallySorted([0])
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, ss_item_sk@1)], projection=[d_year@3, ss_ext_sales_price@5, i_category_id@1, i_category@2]
            │       CoalescePartitionsExec
            │         [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[d_year@1, ss_item_sk@3, ss_ext_sales_price@4]
            │         CoalescePartitionsExec
            │           [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │         DistributedLeafExec:
            │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 1 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: i_manager_id@3 = 1, projection=[i_item_sk@0, i_category_id@1, i_category@2]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_category_id, i_category, i_manager_id], file_type=parquet, predicate=i_manager_id@20 = 1, pruning_predicate=i_manager_id_null_count@2 != row_count@3 AND i_manager_id_min@0 <= 1 AND 1 <= i_manager_id_max@1, required_guarantees=[i_manager_id in (1)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_category_id, i_category, i_manager_id], file_type=parquet, predicate=i_manager_id@20 = 1, pruning_predicate=i_manager_id_null_count@2 != row_count@3 AND i_manager_id_min@0 <= 1 AND 1 <= i_manager_id_max@1, required_guarantees=[i_manager_id in (1)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_category_id, i_category, i_manager_id], file_type=parquet, predicate=i_manager_id@20 = 1, pruning_predicate=i_manager_id_null_count@2 != row_count@3 AND i_manager_id_min@0 <= 1 AND 1 <= i_manager_id_max@1, required_guarantees=[i_manager_id in (1)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_category_id, i_category, i_manager_id], file_type=parquet, predicate=i_manager_id@20 = 1, pruning_predicate=i_manager_id_null_count@2 != row_count@3 AND i_manager_id_min@0 <= 1 AND 1 <= i_manager_id_max@1, required_guarantees=[i_manager_id in (1)]
              └──────────────────────────────────────────────────
              ┌───── Stage 2 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_moy@2 = 11 AND d_year@1 = 2000, projection=[d_date_sk@0, d_year@1]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_moy@8 = 11 AND d_year@6 = 2000, pruning_predicate=d_moy_null_count@2 != row_count@3 AND d_moy_min@0 <= 11 AND 11 <= d_moy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 2000 AND 2000 <= d_year_max@5, required_guarantees=[d_moy in (11), d_year in (2000)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_moy@8 = 11 AND d_year@6 = 2000, pruning_predicate=d_moy_null_count@2 != row_count@3 AND d_moy_min@0 <= 11 AND 11 <= d_moy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 2000 AND 2000 <= d_year_max@5, required_guarantees=[d_moy in (11), d_year in (2000)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_moy@8 = 11 AND d_year@6 = 2000, pruning_predicate=d_moy_null_count@2 != row_count@3 AND d_moy_min@0 <= 11 AND 11 <= d_moy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 2000 AND 2000 <= d_year_max@5, required_guarantees=[d_moy in (11), d_year in (2000)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_moy@8 = 11 AND d_year@6 = 2000, pruning_predicate=d_moy_null_count@2 != row_count@3 AND d_moy_min@0 <= 11 AND 11 <= d_moy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 2000 AND 2000 <= d_year_max@5, required_guarantees=[d_moy in (11), d_year in (2000)]
              └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_43() -> Result<()> {
        let display = test_tpcds_query("q43").await?;
        assert_snapshot!(display, @r#"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [s_store_name@0 ASC NULLS LAST, s_store_id@1 ASC NULLS LAST], fetch=100
        │   [Stage 4] => NetworkCoalesceExec: output_partitions=6, input_tasks=2
        └──────────────────────────────────────────────────
          ┌───── Stage 4 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ SortExec: TopK(fetch=100), expr=[s_store_name@0 ASC NULLS LAST, s_store_id@1 ASC NULLS LAST], preserve_partitioning=[true]
          │   ProjectionExec: expr=[s_store_name@0 as s_store_name, s_store_id@1 as s_store_id, sum(CASE WHEN date_dim.d_day_name = Utf8("Sunday") THEN store_sales.ss_sales_price ELSE NULL END)@2 as sun_sales, sum(CASE WHEN date_dim.d_day_name = Utf8("Monday") THEN store_sales.ss_sales_price ELSE NULL END)@3 as mon_sales, sum(CASE WHEN date_dim.d_day_name = Utf8("Tuesday") THEN store_sales.ss_sales_price ELSE NULL END)@4 as tue_sales, sum(CASE WHEN date_dim.d_day_name = Utf8("Wednesday") THEN store_sales.ss_sales_price ELSE NULL END)@5 as wed_sales, sum(CASE WHEN date_dim.d_day_name = Utf8("Thursday") THEN store_sales.ss_sales_price ELSE NULL END)@6 as thu_sales, sum(CASE WHEN date_dim.d_day_name = Utf8("Friday") THEN store_sales.ss_sales_price ELSE NULL END)@7 as fri_sales, sum(CASE WHEN date_dim.d_day_name = Utf8("Saturday") THEN store_sales.ss_sales_price ELSE NULL END)@8 as sat_sales]
          │     AggregateExec: mode=FinalPartitioned, gby=[s_store_name@0 as s_store_name, s_store_id@1 as s_store_id], aggr=[sum(CASE WHEN date_dim.d_day_name = Sunday THEN store_sales.ss_sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Sunday") THEN store_sales.ss_sales_price ELSE NULL END), sum(CASE WHEN date_dim.d_day_name = Monday THEN store_sales.ss_sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Monday") THEN store_sales.ss_sales_price ELSE NULL END), sum(CASE WHEN date_dim.d_day_name = Tuesday THEN store_sales.ss_sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Tuesday") THEN store_sales.ss_sales_price ELSE NULL END), sum(CASE WHEN date_dim.d_day_name = Wednesday THEN store_sales.ss_sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Wednesday") THEN store_sales.ss_sales_price ELSE NULL END), sum(CASE WHEN date_dim.d_day_name = Thursday THEN store_sales.ss_sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Thursday") THEN store_sales.ss_sales_price ELSE NULL END), sum(CASE WHEN date_dim.d_day_name = Friday THEN store_sales.ss_sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Friday") THEN store_sales.ss_sales_price ELSE NULL END), sum(CASE WHEN date_dim.d_day_name = Saturday THEN store_sales.ss_sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Saturday") THEN store_sales.ss_sales_price ELSE NULL END)]
          │       [Stage 3] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 3 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([s_store_name@0, s_store_id@1], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[s_store_name@3 as s_store_name, s_store_id@2 as s_store_id], aggr=[sum(CASE WHEN date_dim.d_day_name = Sunday THEN store_sales.ss_sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Sunday") THEN store_sales.ss_sales_price ELSE NULL END), sum(CASE WHEN date_dim.d_day_name = Monday THEN store_sales.ss_sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Monday") THEN store_sales.ss_sales_price ELSE NULL END), sum(CASE WHEN date_dim.d_day_name = Tuesday THEN store_sales.ss_sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Tuesday") THEN store_sales.ss_sales_price ELSE NULL END), sum(CASE WHEN date_dim.d_day_name = Wednesday THEN store_sales.ss_sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Wednesday") THEN store_sales.ss_sales_price ELSE NULL END), sum(CASE WHEN date_dim.d_day_name = Thursday THEN store_sales.ss_sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Thursday") THEN store_sales.ss_sales_price ELSE NULL END), sum(CASE WHEN date_dim.d_day_name = Friday THEN store_sales.ss_sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Friday") THEN store_sales.ss_sales_price ELSE NULL END), sum(CASE WHEN date_dim.d_day_name = Saturday THEN store_sales.ss_sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Saturday") THEN store_sales.ss_sales_price ELSE NULL END)]
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(s_store_sk@0, ss_store_sk@1)], projection=[d_day_name@3, ss_sales_price@5, s_store_id@1, s_store_name@2]
            │       CoalescePartitionsExec
            │         [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[d_day_name@1, ss_store_sk@3, ss_sales_price@4]
            │         CoalescePartitionsExec
            │           [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │         DistributedLeafExec:
            │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_store_sk, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_store_sk, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_store_sk, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_store_sk, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 1 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: s_gmt_offset@3 = Some(-500),5,2, projection=[s_store_sk@0, s_store_id@1, s_store_name@2]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_id, s_store_name, s_gmt_offset], file_type=parquet, predicate=s_gmt_offset@27 = Some(-500),5,2 AND DynamicFilter [ empty ], pruning_predicate=s_gmt_offset_null_count@2 != row_count@3 AND s_gmt_offset_min@0 <= Some(-500),5,2 AND Some(-500),5,2 <= s_gmt_offset_max@1, required_guarantees=[s_gmt_offset in (Some(-500),5,2)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_id, s_store_name, s_gmt_offset], file_type=parquet, predicate=s_gmt_offset@27 = Some(-500),5,2 AND DynamicFilter [ empty ], pruning_predicate=s_gmt_offset_null_count@2 != row_count@3 AND s_gmt_offset_min@0 <= Some(-500),5,2 AND Some(-500),5,2 <= s_gmt_offset_max@1, required_guarantees=[s_gmt_offset in (Some(-500),5,2)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_id, s_store_name, s_gmt_offset], file_type=parquet, predicate=s_gmt_offset@27 = Some(-500),5,2 AND DynamicFilter [ empty ], pruning_predicate=s_gmt_offset_null_count@2 != row_count@3 AND s_gmt_offset_min@0 <= Some(-500),5,2 AND Some(-500),5,2 <= s_gmt_offset_max@1, required_guarantees=[s_gmt_offset in (Some(-500),5,2)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_id, s_store_name, s_gmt_offset], file_type=parquet, predicate=s_gmt_offset@27 = Some(-500),5,2 AND DynamicFilter [ empty ], pruning_predicate=s_gmt_offset_null_count@2 != row_count@3 AND s_gmt_offset_min@0 <= Some(-500),5,2 AND Some(-500),5,2 <= s_gmt_offset_max@1, required_guarantees=[s_gmt_offset in (Some(-500),5,2)]
              └──────────────────────────────────────────────────
              ┌───── Stage 2 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_year@1 = 2000, projection=[d_date_sk@0, d_day_name@2]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_day_name], file_type=parquet, predicate=d_year@6 = 2000, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1, required_guarantees=[d_year in (2000)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_day_name], file_type=parquet, predicate=d_year@6 = 2000, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1, required_guarantees=[d_year in (2000)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_day_name], file_type=parquet, predicate=d_year@6 = 2000, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1, required_guarantees=[d_year in (2000)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_day_name], file_type=parquet, predicate=d_year@6 = 2000, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1, required_guarantees=[d_year in (2000)]
              └──────────────────────────────────────────────────
        "#);
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_44() -> Result<()> {
        let display = test_tpcds_query("q44").await?;
        assert_snapshot!(display, @r#"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [rnk@0 ASC NULLS LAST], fetch=100
        │   [Stage 9] => NetworkCoalesceExec: output_partitions=12, input_tasks=4
        └──────────────────────────────────────────────────
          ┌───── Stage 9 ── Tasks: t0:[p0..p2] t1:[p0..p2] t2:[p0..p2] t3:[p0..p2]
          │ SortExec: TopK(fetch=100), expr=[rnk@0 ASC NULLS LAST], preserve_partitioning=[true]
          │   ProjectionExec: expr=[rnk@0 as rnk, i_product_name@1 as best_performing, i_product_name@2 as worst_performing]
          │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, item_sk@1)], projection=[rnk@2, i_product_name@4, i_product_name@1]
          │       CoalescePartitionsExec
          │         [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
          │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, item_sk@0)], projection=[rnk@3, item_sk@4, i_product_name@1]
          │         CoalescePartitionsExec
          │           [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
          │         HashJoinExec: mode=Partitioned, join_type=Inner, on=[(rnk@1, rnk@1)], projection=[item_sk@0, rnk@1, item_sk@2]
          │           [Stage 5] => NetworkShuffleExec: output_partitions=3, input_tasks=1
          │           [Stage 8] => NetworkShuffleExec: output_partitions=3, input_tasks=1
          └──────────────────────────────────────────────────
            ┌───── Stage 1 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
            │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
            │   DistributedLeafExec:
            │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_product_name], file_type=parquet
            │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_product_name], file_type=parquet
            │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_product_name], file_type=parquet
            │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_product_name], file_type=parquet
            └──────────────────────────────────────────────────
            ┌───── Stage 2 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
            │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
            │   DistributedLeafExec:
            │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_product_name], file_type=parquet
            │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_product_name], file_type=parquet
            │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_product_name], file_type=parquet
            │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_product_name], file_type=parquet
            └──────────────────────────────────────────────────
            ┌───── Stage 5 ── Tasks: t0:[p0..p11]
            │ RepartitionExec: partitioning=Hash([rnk@1], 12), input_partitions=3
            │   ProjectionExec: expr=[item_sk@0 as item_sk, rank() ORDER BY [v1.rank_col ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@1 as rnk]
            │     FilterExec: rank() ORDER BY [v1.rank_col ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@1 < 11
            │       RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=1, maintains_sort_order=true
            │         ProjectionExec: expr=[item_sk@0 as item_sk, rank() ORDER BY [v1.rank_col ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@2 as rank() ORDER BY [v1.rank_col ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW]
            │           BoundedWindowAggExec: wdw=[rank() ORDER BY [v1.rank_col ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Field { "rank() ORDER BY [v1.rank_col ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW": UInt64 }, frame: RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW], mode=[Sorted]
            │             SortPreservingMergeExec: [rank_col@1 ASC NULLS LAST]
            │               SortExec: expr=[rank_col@1 ASC NULLS LAST], preserve_partitioning=[true]
            │                 ProjectionExec: expr=[ss_item_sk@0 as item_sk, avg(ss1.ss_net_profit)@1 as rank_col]
            │                   FilterExec: CAST(avg(ss1.ss_net_profit)@1 AS Decimal128(30, 15)) > CAST(0.9 * rank_col@2 AS Decimal128(30, 15)), projection=[ss_item_sk@0, avg(ss1.ss_net_profit)@1]
            │                     NestedLoopJoinExec: join_type=Right, projection=[ss_item_sk@1, avg(ss1.ss_net_profit)@2, rank_col@0]
            │                       CoalescePartitionsExec
            │                         BroadcastExec: input_partitions=3, consumer_tasks=1, output_partitions=3
            │                           ProjectionExec: expr=[CAST(avg(store_sales.ss_net_profit)@1 AS Float64) as rank_col]
            │                             AggregateExec: mode=FinalPartitioned, gby=[ss_store_sk@0 as ss_store_sk], aggr=[avg(store_sales.ss_net_profit)], ordering_mode=Sorted
            │                               [Stage 3] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            │                       AggregateExec: mode=FinalPartitioned, gby=[ss_item_sk@0 as ss_item_sk], aggr=[avg(ss1.ss_net_profit)]
            │                         [Stage 4] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            └──────────────────────────────────────────────────
              ┌───── Stage 3 ── Tasks: t0:[p0..p2] t1:[p0..p2] t2:[p0..p2] t3:[p0..p2]
              │ RepartitionExec: partitioning=Hash([ss_store_sk@0], 3), input_partitions=3
              │   AggregateExec: mode=Partial, gby=[ss_store_sk@0 as ss_store_sk], aggr=[avg(store_sales.ss_net_profit)], ordering_mode=Sorted
              │     FilterExec: ss_store_sk@1 = 4 AND ss_addr_sk@0 IS NULL, projection=[ss_store_sk@1, ss_net_profit@2]
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_addr_sk, ss_store_sk, ss_net_profit], file_type=parquet, predicate=ss_store_sk@7 = 4 AND ss_addr_sk@6 IS NULL, pruning_predicate=ss_store_sk_null_count@2 != row_count@3 AND ss_store_sk_min@0 <= 4 AND 4 <= ss_store_sk_max@1 AND ss_addr_sk_null_count@4 > 0, required_guarantees=[ss_store_sk in (4)]
              │         t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_addr_sk, ss_store_sk, ss_net_profit], file_type=parquet, predicate=ss_store_sk@7 = 4 AND ss_addr_sk@6 IS NULL, pruning_predicate=ss_store_sk_null_count@2 != row_count@3 AND ss_store_sk_min@0 <= 4 AND 4 <= ss_store_sk_max@1 AND ss_addr_sk_null_count@4 > 0, required_guarantees=[ss_store_sk in (4)]
              │         t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_addr_sk, ss_store_sk, ss_net_profit], file_type=parquet, predicate=ss_store_sk@7 = 4 AND ss_addr_sk@6 IS NULL, pruning_predicate=ss_store_sk_null_count@2 != row_count@3 AND ss_store_sk_min@0 <= 4 AND 4 <= ss_store_sk_max@1 AND ss_addr_sk_null_count@4 > 0, required_guarantees=[ss_store_sk in (4)]
              │         t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_addr_sk, ss_store_sk, ss_net_profit], file_type=parquet, predicate=ss_store_sk@7 = 4 AND ss_addr_sk@6 IS NULL, pruning_predicate=ss_store_sk_null_count@2 != row_count@3 AND ss_store_sk_min@0 <= 4 AND 4 <= ss_store_sk_max@1 AND ss_addr_sk_null_count@4 > 0, required_guarantees=[ss_store_sk in (4)]
              └──────────────────────────────────────────────────
              ┌───── Stage 4 ── Tasks: t0:[p0..p2] t1:[p0..p2] t2:[p0..p2] t3:[p0..p2]
              │ RepartitionExec: partitioning=Hash([ss_item_sk@0], 3), input_partitions=3
              │   AggregateExec: mode=Partial, gby=[ss_item_sk@0 as ss_item_sk], aggr=[avg(ss1.ss_net_profit)]
              │     FilterExec: ss_store_sk@1 = 4, projection=[ss_item_sk@0, ss_net_profit@2]
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_item_sk, ss_store_sk, ss_net_profit], file_type=parquet, predicate=ss_store_sk@7 = 4, pruning_predicate=ss_store_sk_null_count@2 != row_count@3 AND ss_store_sk_min@0 <= 4 AND 4 <= ss_store_sk_max@1, required_guarantees=[ss_store_sk in (4)]
              │         t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_item_sk, ss_store_sk, ss_net_profit], file_type=parquet, predicate=ss_store_sk@7 = 4, pruning_predicate=ss_store_sk_null_count@2 != row_count@3 AND ss_store_sk_min@0 <= 4 AND 4 <= ss_store_sk_max@1, required_guarantees=[ss_store_sk in (4)]
              │         t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_item_sk, ss_store_sk, ss_net_profit], file_type=parquet, predicate=ss_store_sk@7 = 4, pruning_predicate=ss_store_sk_null_count@2 != row_count@3 AND ss_store_sk_min@0 <= 4 AND 4 <= ss_store_sk_max@1, required_guarantees=[ss_store_sk in (4)]
              │         t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_item_sk, ss_store_sk, ss_net_profit], file_type=parquet, predicate=ss_store_sk@7 = 4, pruning_predicate=ss_store_sk_null_count@2 != row_count@3 AND ss_store_sk_min@0 <= 4 AND 4 <= ss_store_sk_max@1, required_guarantees=[ss_store_sk in (4)]
              └──────────────────────────────────────────────────
            ┌───── Stage 8 ── Tasks: t0:[p0..p11]
            │ RepartitionExec: partitioning=Hash([rnk@1], 12), input_partitions=3
            │   ProjectionExec: expr=[item_sk@0 as item_sk, rank() ORDER BY [v2.rank_col DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@1 as rnk]
            │     FilterExec: rank() ORDER BY [v2.rank_col DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@1 < 11
            │       RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=1, maintains_sort_order=true
            │         ProjectionExec: expr=[item_sk@0 as item_sk, rank() ORDER BY [v2.rank_col DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@2 as rank() ORDER BY [v2.rank_col DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW]
            │           BoundedWindowAggExec: wdw=[rank() ORDER BY [v2.rank_col DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Field { "rank() ORDER BY [v2.rank_col DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW": UInt64 }, frame: RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW], mode=[Sorted]
            │             SortPreservingMergeExec: [rank_col@1 DESC]
            │               SortExec: expr=[rank_col@1 DESC], preserve_partitioning=[true]
            │                 ProjectionExec: expr=[ss_item_sk@0 as item_sk, avg(ss1.ss_net_profit)@1 as rank_col]
            │                   FilterExec: CAST(avg(ss1.ss_net_profit)@1 AS Decimal128(30, 15)) > CAST(0.9 * rank_col@2 AS Decimal128(30, 15)), projection=[ss_item_sk@0, avg(ss1.ss_net_profit)@1]
            │                     NestedLoopJoinExec: join_type=Right, projection=[ss_item_sk@1, avg(ss1.ss_net_profit)@2, rank_col@0]
            │                       CoalescePartitionsExec
            │                         BroadcastExec: input_partitions=3, consumer_tasks=1, output_partitions=3
            │                           ProjectionExec: expr=[CAST(avg(store_sales.ss_net_profit)@1 AS Float64) as rank_col]
            │                             AggregateExec: mode=FinalPartitioned, gby=[ss_store_sk@0 as ss_store_sk], aggr=[avg(store_sales.ss_net_profit)], ordering_mode=Sorted
            │                               [Stage 6] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            │                       AggregateExec: mode=FinalPartitioned, gby=[ss_item_sk@0 as ss_item_sk], aggr=[avg(ss1.ss_net_profit)]
            │                         [Stage 7] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            └──────────────────────────────────────────────────
              ┌───── Stage 6 ── Tasks: t0:[p0..p2] t1:[p0..p2] t2:[p0..p2] t3:[p0..p2]
              │ RepartitionExec: partitioning=Hash([ss_store_sk@0], 3), input_partitions=3
              │   AggregateExec: mode=Partial, gby=[ss_store_sk@0 as ss_store_sk], aggr=[avg(store_sales.ss_net_profit)], ordering_mode=Sorted
              │     FilterExec: ss_store_sk@1 = 4 AND ss_addr_sk@0 IS NULL, projection=[ss_store_sk@1, ss_net_profit@2]
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_addr_sk, ss_store_sk, ss_net_profit], file_type=parquet, predicate=ss_store_sk@7 = 4 AND ss_addr_sk@6 IS NULL, pruning_predicate=ss_store_sk_null_count@2 != row_count@3 AND ss_store_sk_min@0 <= 4 AND 4 <= ss_store_sk_max@1 AND ss_addr_sk_null_count@4 > 0, required_guarantees=[ss_store_sk in (4)]
              │         t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_addr_sk, ss_store_sk, ss_net_profit], file_type=parquet, predicate=ss_store_sk@7 = 4 AND ss_addr_sk@6 IS NULL, pruning_predicate=ss_store_sk_null_count@2 != row_count@3 AND ss_store_sk_min@0 <= 4 AND 4 <= ss_store_sk_max@1 AND ss_addr_sk_null_count@4 > 0, required_guarantees=[ss_store_sk in (4)]
              │         t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_addr_sk, ss_store_sk, ss_net_profit], file_type=parquet, predicate=ss_store_sk@7 = 4 AND ss_addr_sk@6 IS NULL, pruning_predicate=ss_store_sk_null_count@2 != row_count@3 AND ss_store_sk_min@0 <= 4 AND 4 <= ss_store_sk_max@1 AND ss_addr_sk_null_count@4 > 0, required_guarantees=[ss_store_sk in (4)]
              │         t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_addr_sk, ss_store_sk, ss_net_profit], file_type=parquet, predicate=ss_store_sk@7 = 4 AND ss_addr_sk@6 IS NULL, pruning_predicate=ss_store_sk_null_count@2 != row_count@3 AND ss_store_sk_min@0 <= 4 AND 4 <= ss_store_sk_max@1 AND ss_addr_sk_null_count@4 > 0, required_guarantees=[ss_store_sk in (4)]
              └──────────────────────────────────────────────────
              ┌───── Stage 7 ── Tasks: t0:[p0..p2] t1:[p0..p2] t2:[p0..p2] t3:[p0..p2]
              │ RepartitionExec: partitioning=Hash([ss_item_sk@0], 3), input_partitions=3
              │   AggregateExec: mode=Partial, gby=[ss_item_sk@0 as ss_item_sk], aggr=[avg(ss1.ss_net_profit)]
              │     FilterExec: ss_store_sk@1 = 4, projection=[ss_item_sk@0, ss_net_profit@2]
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_item_sk, ss_store_sk, ss_net_profit], file_type=parquet, predicate=ss_store_sk@7 = 4, pruning_predicate=ss_store_sk_null_count@2 != row_count@3 AND ss_store_sk_min@0 <= 4 AND 4 <= ss_store_sk_max@1, required_guarantees=[ss_store_sk in (4)]
              │         t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_item_sk, ss_store_sk, ss_net_profit], file_type=parquet, predicate=ss_store_sk@7 = 4, pruning_predicate=ss_store_sk_null_count@2 != row_count@3 AND ss_store_sk_min@0 <= 4 AND 4 <= ss_store_sk_max@1, required_guarantees=[ss_store_sk in (4)]
              │         t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_item_sk, ss_store_sk, ss_net_profit], file_type=parquet, predicate=ss_store_sk@7 = 4, pruning_predicate=ss_store_sk_null_count@2 != row_count@3 AND ss_store_sk_min@0 <= 4 AND 4 <= ss_store_sk_max@1, required_guarantees=[ss_store_sk in (4)]
              │         t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_item_sk, ss_store_sk, ss_net_profit], file_type=parquet, predicate=ss_store_sk@7 = 4, pruning_predicate=ss_store_sk_null_count@2 != row_count@3 AND ss_store_sk_min@0 <= 4 AND 4 <= ss_store_sk_max@1, required_guarantees=[ss_store_sk in (4)]
              └──────────────────────────────────────────────────
        "#);
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_45() -> Result<()> {
        let display = test_tpcds_query("q45").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [ca_zip@0 ASC NULLS LAST, ca_city@1 ASC NULLS LAST], fetch=100
        │   SortExec: TopK(fetch=100), expr=[ca_zip@0 ASC NULLS LAST, ca_city@1 ASC NULLS LAST], preserve_partitioning=[true]
        │     AggregateExec: mode=FinalPartitioned, gby=[ca_zip@0 as ca_zip, ca_city@1 as ca_city], aggr=[sum(web_sales.ws_sales_price)]
        │       [Stage 6] => NetworkShuffleExec: output_partitions=3, input_tasks=4
        └──────────────────────────────────────────────────
          ┌───── Stage 6 ── Tasks: t0:[p0..p2] t1:[p0..p2] t2:[p0..p2] t3:[p0..p2]
          │ RepartitionExec: partitioning=Hash([ca_zip@0, ca_city@1], 3), input_partitions=3
          │   AggregateExec: mode=Partial, gby=[ca_zip@2 as ca_zip, ca_city@1 as ca_city], aggr=[sum(web_sales.ws_sales_price)]
          │     FilterExec: substr(ca_zip@2, 1, 5) IN (SET) ([85669, 86197, 88274, 83405, 86475, 85392, 85460, 80348, 81792]) OR mark@3, projection=[ws_sales_price@0, ca_city@1, ca_zip@2]
          │       HashJoinExec: mode=CollectLeft, join_type=RightMark, on=[(i_item_id@0, i_item_id@3)], projection=[ws_sales_price@0, ca_city@1, ca_zip@2, mark@4]
          │         CoalescePartitionsExec
          │           [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
          │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, ws_item_sk@0)], projection=[ws_sales_price@3, ca_city@4, ca_zip@5, i_item_id@1]
          │           CoalescePartitionsExec
          │             [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
          │           HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ws_sold_date_sk@0)], projection=[ws_item_sk@2, ws_sales_price@3, ca_city@4, ca_zip@5]
          │             CoalescePartitionsExec
          │               [Stage 3] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
          │             HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(ca_address_sk@0, c_current_addr_sk@3)], projection=[ws_sold_date_sk@3, ws_item_sk@4, ws_sales_price@5, ca_city@1, ca_zip@2]
          │               CoalescePartitionsExec
          │                 [Stage 4] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
          │               HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(c_customer_sk@0, ws_bill_customer_sk@2)], projection=[ws_sold_date_sk@2, ws_item_sk@3, ws_sales_price@5, c_current_addr_sk@1]
          │                 CoalescePartitionsExec
          │                   [Stage 5] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
          │                 DistributedLeafExec:
          │                   t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_bill_customer_sk, ws_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          │                   t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_bill_customer_sk, ws_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          │                   t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_bill_customer_sk, ws_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          │                   t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_bill_customer_sk, ws_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          └──────────────────────────────────────────────────
            ┌───── Stage 1 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   FilterExec: i_item_sk@0 IN (SET) ([2, 3, 5, 7, 11, 13, 17, 19, 23, 29]), projection=[i_item_id@1]
            │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet, predicate=i_item_sk@0 IN (SET) ([2, 3, 5, 7, 11, 13, 17, 19, 23, 29]), pruning_predicate=i_item_sk_null_count@2 != row_count@3 AND i_item_sk_min@0 <= 2 AND 2 <= i_item_sk_max@1 OR i_item_sk_null_count@2 != row_count@3 AND i_item_sk_min@0 <= 3 AND 3 <= i_item_sk_max@1 OR i_item_sk_null_count@2 != row_count@3 AND i_item_sk_min@0 <= 5 AND 5 <= i_item_sk_max@1 OR i_item_sk_null_count@2 != row_count@3 AND i_item_sk_min@0 <= 7 AND 7 <= i_item_sk_max@1 OR i_item_sk_null_count@2 != row_count@3 AND i_item_sk_min@0 <= 11 AND 11 <= i_item_sk_max@1 OR i_item_sk_null_count@2 != row_count@3 AND i_item_sk_min@0 <= 13 AND 13 <= i_item_sk_max@1 OR i_item_sk_null_count@2 != row_count@3 AND i_item_sk_min@0 <= 17 AND 17 <= i_item_sk_max@1 OR i_item_sk_null_count@2 != row_count@3 AND i_item_sk_min@0 <= 19 AND 19 <= i_item_sk_max@1 OR i_item_sk_null_count@2 != row_count@3 AND i_item_sk_min@0 <= 23 AND 23 <= i_item_sk_max@1 OR i_item_sk_null_count@2 != row_count@3 AND i_item_sk_min@0 <= 29 AND 29 <= i_item_sk_max@1, required_guarantees=[i_item_sk in (11, 13, 17, 19, 2, 23, 29, 3, 5, 7)]
            │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet, predicate=i_item_sk@0 IN (SET) ([2, 3, 5, 7, 11, 13, 17, 19, 23, 29]), pruning_predicate=i_item_sk_null_count@2 != row_count@3 AND i_item_sk_min@0 <= 2 AND 2 <= i_item_sk_max@1 OR i_item_sk_null_count@2 != row_count@3 AND i_item_sk_min@0 <= 3 AND 3 <= i_item_sk_max@1 OR i_item_sk_null_count@2 != row_count@3 AND i_item_sk_min@0 <= 5 AND 5 <= i_item_sk_max@1 OR i_item_sk_null_count@2 != row_count@3 AND i_item_sk_min@0 <= 7 AND 7 <= i_item_sk_max@1 OR i_item_sk_null_count@2 != row_count@3 AND i_item_sk_min@0 <= 11 AND 11 <= i_item_sk_max@1 OR i_item_sk_null_count@2 != row_count@3 AND i_item_sk_min@0 <= 13 AND 13 <= i_item_sk_max@1 OR i_item_sk_null_count@2 != row_count@3 AND i_item_sk_min@0 <= 17 AND 17 <= i_item_sk_max@1 OR i_item_sk_null_count@2 != row_count@3 AND i_item_sk_min@0 <= 19 AND 19 <= i_item_sk_max@1 OR i_item_sk_null_count@2 != row_count@3 AND i_item_sk_min@0 <= 23 AND 23 <= i_item_sk_max@1 OR i_item_sk_null_count@2 != row_count@3 AND i_item_sk_min@0 <= 29 AND 29 <= i_item_sk_max@1, required_guarantees=[i_item_sk in (11, 13, 17, 19, 2, 23, 29, 3, 5, 7)]
            │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet, predicate=i_item_sk@0 IN (SET) ([2, 3, 5, 7, 11, 13, 17, 19, 23, 29]), pruning_predicate=i_item_sk_null_count@2 != row_count@3 AND i_item_sk_min@0 <= 2 AND 2 <= i_item_sk_max@1 OR i_item_sk_null_count@2 != row_count@3 AND i_item_sk_min@0 <= 3 AND 3 <= i_item_sk_max@1 OR i_item_sk_null_count@2 != row_count@3 AND i_item_sk_min@0 <= 5 AND 5 <= i_item_sk_max@1 OR i_item_sk_null_count@2 != row_count@3 AND i_item_sk_min@0 <= 7 AND 7 <= i_item_sk_max@1 OR i_item_sk_null_count@2 != row_count@3 AND i_item_sk_min@0 <= 11 AND 11 <= i_item_sk_max@1 OR i_item_sk_null_count@2 != row_count@3 AND i_item_sk_min@0 <= 13 AND 13 <= i_item_sk_max@1 OR i_item_sk_null_count@2 != row_count@3 AND i_item_sk_min@0 <= 17 AND 17 <= i_item_sk_max@1 OR i_item_sk_null_count@2 != row_count@3 AND i_item_sk_min@0 <= 19 AND 19 <= i_item_sk_max@1 OR i_item_sk_null_count@2 != row_count@3 AND i_item_sk_min@0 <= 23 AND 23 <= i_item_sk_max@1 OR i_item_sk_null_count@2 != row_count@3 AND i_item_sk_min@0 <= 29 AND 29 <= i_item_sk_max@1, required_guarantees=[i_item_sk in (11, 13, 17, 19, 2, 23, 29, 3, 5, 7)]
            │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet, predicate=i_item_sk@0 IN (SET) ([2, 3, 5, 7, 11, 13, 17, 19, 23, 29]), pruning_predicate=i_item_sk_null_count@2 != row_count@3 AND i_item_sk_min@0 <= 2 AND 2 <= i_item_sk_max@1 OR i_item_sk_null_count@2 != row_count@3 AND i_item_sk_min@0 <= 3 AND 3 <= i_item_sk_max@1 OR i_item_sk_null_count@2 != row_count@3 AND i_item_sk_min@0 <= 5 AND 5 <= i_item_sk_max@1 OR i_item_sk_null_count@2 != row_count@3 AND i_item_sk_min@0 <= 7 AND 7 <= i_item_sk_max@1 OR i_item_sk_null_count@2 != row_count@3 AND i_item_sk_min@0 <= 11 AND 11 <= i_item_sk_max@1 OR i_item_sk_null_count@2 != row_count@3 AND i_item_sk_min@0 <= 13 AND 13 <= i_item_sk_max@1 OR i_item_sk_null_count@2 != row_count@3 AND i_item_sk_min@0 <= 17 AND 17 <= i_item_sk_max@1 OR i_item_sk_null_count@2 != row_count@3 AND i_item_sk_min@0 <= 19 AND 19 <= i_item_sk_max@1 OR i_item_sk_null_count@2 != row_count@3 AND i_item_sk_min@0 <= 23 AND 23 <= i_item_sk_max@1 OR i_item_sk_null_count@2 != row_count@3 AND i_item_sk_min@0 <= 29 AND 29 <= i_item_sk_max@1, required_guarantees=[i_item_sk in (11, 13, 17, 19, 2, 23, 29, 3, 5, 7)]
            └──────────────────────────────────────────────────
            ┌───── Stage 2 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
            │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
            │   DistributedLeafExec:
            │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet
            │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet
            │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet
            │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet
            └──────────────────────────────────────────────────
            ┌───── Stage 3 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   FilterExec: d_qoy@2 = 2 AND d_year@1 = 2001, projection=[d_date_sk@0]
            │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_qoy], file_type=parquet, predicate=d_qoy@10 = 2 AND d_year@6 = 2001, pruning_predicate=d_qoy_null_count@2 != row_count@3 AND d_qoy_min@0 <= 2 AND 2 <= d_qoy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 2001 AND 2001 <= d_year_max@5, required_guarantees=[d_qoy in (2), d_year in (2001)]
            │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_qoy], file_type=parquet, predicate=d_qoy@10 = 2 AND d_year@6 = 2001, pruning_predicate=d_qoy_null_count@2 != row_count@3 AND d_qoy_min@0 <= 2 AND 2 <= d_qoy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 2001 AND 2001 <= d_year_max@5, required_guarantees=[d_qoy in (2), d_year in (2001)]
            │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_qoy], file_type=parquet, predicate=d_qoy@10 = 2 AND d_year@6 = 2001, pruning_predicate=d_qoy_null_count@2 != row_count@3 AND d_qoy_min@0 <= 2 AND 2 <= d_qoy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 2001 AND 2001 <= d_year_max@5, required_guarantees=[d_qoy in (2), d_year in (2001)]
            │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_qoy], file_type=parquet, predicate=d_qoy@10 = 2 AND d_year@6 = 2001, pruning_predicate=d_qoy_null_count@2 != row_count@3 AND d_qoy_min@0 <= 2 AND 2 <= d_qoy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 2001 AND 2001 <= d_year_max@5, required_guarantees=[d_qoy in (2), d_year in (2001)]
            └──────────────────────────────────────────────────
            ┌───── Stage 4 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
            │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
            │   DistributedLeafExec:
            │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_city, ca_zip], file_type=parquet, predicate=DynamicFilter [ empty ]
            │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_city, ca_zip], file_type=parquet, predicate=DynamicFilter [ empty ]
            │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_city, ca_zip], file_type=parquet, predicate=DynamicFilter [ empty ]
            │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_city, ca_zip], file_type=parquet, predicate=DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
            ┌───── Stage 5 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
            │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
            │   DistributedLeafExec:
            │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_addr_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
            │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_addr_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
            │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_addr_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
            │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_addr_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_46() -> Result<()> {
        let display = test_tpcds_query("q46").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [c_last_name@0 ASC, c_first_name@1 ASC, ca_city@2 ASC, bought_city@3 ASC, ss_ticket_number@4 ASC], fetch=100
        │   [Stage 8] => NetworkCoalesceExec: output_partitions=12, input_tasks=4
        └──────────────────────────────────────────────────
          ┌───── Stage 8 ── Tasks: t0:[p0..p2] t1:[p0..p2] t2:[p0..p2] t3:[p0..p2]
          │ SortExec: TopK(fetch=100), expr=[c_last_name@0 ASC, c_first_name@1 ASC, ca_city@2 ASC, bought_city@3 ASC, ss_ticket_number@4 ASC], preserve_partitioning=[true]
          │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(ca_address_sk@0, c_current_addr_sk@4)], filter=bought_city@0 != ca_city@1, projection=[c_last_name@8, c_first_name@7, ca_city@1, bought_city@3, ss_ticket_number@2, amt@4, profit@5]
          │     CoalescePartitionsExec
          │       [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
          │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(c_customer_sk@0, ss_customer_sk@1)], projection=[ss_ticket_number@4, bought_city@6, amt@7, profit@8, c_current_addr_sk@1, c_first_name@2, c_last_name@3]
          │       CoalescePartitionsExec
          │         [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
          │       ProjectionExec: expr=[ss_ticket_number@0 as ss_ticket_number, ss_customer_sk@1 as ss_customer_sk, ca_city@3 as bought_city, sum(store_sales.ss_coupon_amt)@4 as amt, sum(store_sales.ss_net_profit)@5 as profit]
          │         AggregateExec: mode=FinalPartitioned, gby=[ss_ticket_number@0 as ss_ticket_number, ss_customer_sk@1 as ss_customer_sk, ss_addr_sk@2 as ss_addr_sk, ca_city@3 as ca_city], aggr=[sum(store_sales.ss_coupon_amt), sum(store_sales.ss_net_profit)]
          │           [Stage 7] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 1 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
            │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
            │   DistributedLeafExec:
            │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_city], file_type=parquet
            │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_city], file_type=parquet
            │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_city], file_type=parquet
            │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_city], file_type=parquet
            └──────────────────────────────────────────────────
            ┌───── Stage 2 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
            │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
            │   DistributedLeafExec:
            │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_addr_sk, c_first_name, c_last_name], file_type=parquet, predicate=DynamicFilter [ empty ]
            │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_addr_sk, c_first_name, c_last_name], file_type=parquet, predicate=DynamicFilter [ empty ]
            │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_addr_sk, c_first_name, c_last_name], file_type=parquet, predicate=DynamicFilter [ empty ]
            │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_addr_sk, c_first_name, c_last_name], file_type=parquet, predicate=DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
            ┌───── Stage 7 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
            │ RepartitionExec: partitioning=Hash([ss_ticket_number@0, ss_customer_sk@1, ss_addr_sk@2, ca_city@3], 12), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[ss_ticket_number@2 as ss_ticket_number, ss_customer_sk@0 as ss_customer_sk, ss_addr_sk@1 as ss_addr_sk, ca_city@5 as ca_city], aggr=[sum(store_sales.ss_coupon_amt), sum(store_sales.ss_net_profit)]
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(ca_address_sk@0, ss_addr_sk@1)], projection=[ss_customer_sk@2, ss_addr_sk@3, ss_ticket_number@4, ss_coupon_amt@5, ss_net_profit@6, ca_city@1]
            │       CoalescePartitionsExec
            │         [Stage 3] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(hd_demo_sk@0, ss_hdemo_sk@1)], projection=[ss_customer_sk@1, ss_addr_sk@3, ss_ticket_number@4, ss_coupon_amt@5, ss_net_profit@6]
            │         CoalescePartitionsExec
            │           [Stage 4] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(s_store_sk@0, ss_store_sk@3)], projection=[ss_customer_sk@1, ss_hdemo_sk@2, ss_addr_sk@3, ss_ticket_number@5, ss_coupon_amt@6, ss_net_profit@7]
            │           CoalescePartitionsExec
            │             [Stage 5] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │           HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[ss_customer_sk@2, ss_hdemo_sk@3, ss_addr_sk@4, ss_store_sk@5, ss_ticket_number@6, ss_coupon_amt@7, ss_net_profit@8]
            │             CoalescePartitionsExec
            │               [Stage 6] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │             DistributedLeafExec:
            │               t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_customer_sk, ss_hdemo_sk, ss_addr_sk, ss_store_sk, ss_ticket_number, ss_coupon_amt, ss_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │               t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_customer_sk, ss_hdemo_sk, ss_addr_sk, ss_store_sk, ss_ticket_number, ss_coupon_amt, ss_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │               t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_customer_sk, ss_hdemo_sk, ss_addr_sk, ss_store_sk, ss_ticket_number, ss_coupon_amt, ss_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │               t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_customer_sk, ss_hdemo_sk, ss_addr_sk, ss_store_sk, ss_ticket_number, ss_coupon_amt, ss_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 3 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_city], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_city], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_city], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_city], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 4 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: hd_dep_count@1 = 4 OR hd_vehicle_count@2 = 3, projection=[hd_demo_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_dep_count, hd_vehicle_count], file_type=parquet, predicate=hd_dep_count@3 = 4 OR hd_vehicle_count@4 = 3, pruning_predicate=hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 4 AND 4 <= hd_dep_count_max@1 OR hd_vehicle_count_null_count@6 != row_count@3 AND hd_vehicle_count_min@4 <= 3 AND 3 <= hd_vehicle_count_max@5, required_guarantees=[]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_dep_count, hd_vehicle_count], file_type=parquet, predicate=hd_dep_count@3 = 4 OR hd_vehicle_count@4 = 3, pruning_predicate=hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 4 AND 4 <= hd_dep_count_max@1 OR hd_vehicle_count_null_count@6 != row_count@3 AND hd_vehicle_count_min@4 <= 3 AND 3 <= hd_vehicle_count_max@5, required_guarantees=[]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_dep_count, hd_vehicle_count], file_type=parquet, predicate=hd_dep_count@3 = 4 OR hd_vehicle_count@4 = 3, pruning_predicate=hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 4 AND 4 <= hd_dep_count_max@1 OR hd_vehicle_count_null_count@6 != row_count@3 AND hd_vehicle_count_min@4 <= 3 AND 3 <= hd_vehicle_count_max@5, required_guarantees=[]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-3.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_dep_count, hd_vehicle_count], file_type=parquet, predicate=hd_dep_count@3 = 4 OR hd_vehicle_count@4 = 3, pruning_predicate=hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 4 AND 4 <= hd_dep_count_max@1 OR hd_vehicle_count_null_count@6 != row_count@3 AND hd_vehicle_count_min@4 <= 3 AND 3 <= hd_vehicle_count_max@5, required_guarantees=[]
              └──────────────────────────────────────────────────
              ┌───── Stage 5 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: s_city@1 = Fairview OR s_city@1 = Midway, projection=[s_store_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>]]}, projection=[s_store_sk, s_city], file_type=parquet, predicate=s_city@22 = Fairview OR s_city@22 = Midway, pruning_predicate=s_city_null_count@2 != row_count@3 AND s_city_min@0 <= Fairview AND Fairview <= s_city_max@1 OR s_city_null_count@2 != row_count@3 AND s_city_min@0 <= Midway AND Midway <= s_city_max@1, required_guarantees=[s_city in (Fairview, Midway)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>]]}, projection=[s_store_sk, s_city], file_type=parquet, predicate=s_city@22 = Fairview OR s_city@22 = Midway, pruning_predicate=s_city_null_count@2 != row_count@3 AND s_city_min@0 <= Fairview AND Fairview <= s_city_max@1 OR s_city_null_count@2 != row_count@3 AND s_city_min@0 <= Midway AND Midway <= s_city_max@1, required_guarantees=[s_city in (Fairview, Midway)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_city], file_type=parquet, predicate=s_city@22 = Fairview OR s_city@22 = Midway, pruning_predicate=s_city_null_count@2 != row_count@3 AND s_city_min@0 <= Fairview AND Fairview <= s_city_max@1 OR s_city_null_count@2 != row_count@3 AND s_city_min@0 <= Midway AND Midway <= s_city_max@1, required_guarantees=[s_city in (Fairview, Midway)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_city], file_type=parquet, predicate=s_city@22 = Fairview OR s_city@22 = Midway, pruning_predicate=s_city_null_count@2 != row_count@3 AND s_city_min@0 <= Fairview AND Fairview <= s_city_max@1 OR s_city_null_count@2 != row_count@3 AND s_city_min@0 <= Midway AND Midway <= s_city_max@1, required_guarantees=[s_city in (Fairview, Midway)]
              └──────────────────────────────────────────────────
              ┌───── Stage 6 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: (d_dow@2 = 6 OR d_dow@2 = 0) AND (d_year@1 = 1999 OR d_year@1 = 2000 OR d_year@1 = 2001), projection=[d_date_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_dow], file_type=parquet, predicate=(d_dow@7 = 6 OR d_dow@7 = 0) AND (d_year@6 = 1999 OR d_year@6 = 2000 OR d_year@6 = 2001), pruning_predicate=(d_dow_null_count@2 != row_count@3 AND d_dow_min@0 <= 6 AND 6 <= d_dow_max@1 OR d_dow_null_count@2 != row_count@3 AND d_dow_min@0 <= 0 AND 0 <= d_dow_max@1) AND (d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 1999 AND 1999 <= d_year_max@5 OR d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 2000 AND 2000 <= d_year_max@5 OR d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 2001 AND 2001 <= d_year_max@5), required_guarantees=[d_dow in (0, 6), d_year in (1999, 2000, 2001)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_dow], file_type=parquet, predicate=(d_dow@7 = 6 OR d_dow@7 = 0) AND (d_year@6 = 1999 OR d_year@6 = 2000 OR d_year@6 = 2001), pruning_predicate=(d_dow_null_count@2 != row_count@3 AND d_dow_min@0 <= 6 AND 6 <= d_dow_max@1 OR d_dow_null_count@2 != row_count@3 AND d_dow_min@0 <= 0 AND 0 <= d_dow_max@1) AND (d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 1999 AND 1999 <= d_year_max@5 OR d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 2000 AND 2000 <= d_year_max@5 OR d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 2001 AND 2001 <= d_year_max@5), required_guarantees=[d_dow in (0, 6), d_year in (1999, 2000, 2001)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_dow], file_type=parquet, predicate=(d_dow@7 = 6 OR d_dow@7 = 0) AND (d_year@6 = 1999 OR d_year@6 = 2000 OR d_year@6 = 2001), pruning_predicate=(d_dow_null_count@2 != row_count@3 AND d_dow_min@0 <= 6 AND 6 <= d_dow_max@1 OR d_dow_null_count@2 != row_count@3 AND d_dow_min@0 <= 0 AND 0 <= d_dow_max@1) AND (d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 1999 AND 1999 <= d_year_max@5 OR d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 2000 AND 2000 <= d_year_max@5 OR d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 2001 AND 2001 <= d_year_max@5), required_guarantees=[d_dow in (0, 6), d_year in (1999, 2000, 2001)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_dow], file_type=parquet, predicate=(d_dow@7 = 6 OR d_dow@7 = 0) AND (d_year@6 = 1999 OR d_year@6 = 2000 OR d_year@6 = 2001), pruning_predicate=(d_dow_null_count@2 != row_count@3 AND d_dow_min@0 <= 6 AND 6 <= d_dow_max@1 OR d_dow_null_count@2 != row_count@3 AND d_dow_min@0 <= 0 AND 0 <= d_dow_max@1) AND (d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 1999 AND 1999 <= d_year_max@5 OR d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 2000 AND 2000 <= d_year_max@5 OR d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 2001 AND 2001 <= d_year_max@5), required_guarantees=[d_dow in (0, 6), d_year in (1999, 2000, 2001)]
              └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_47() -> Result<()> {
        let display = test_tpcds_query("q47").await?;
        assert_snapshot!(display, @r#"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [sum_sales@7 - avg_monthly_sales@6 ASC NULLS LAST, i_category@0 ASC NULLS LAST, i_brand@1 ASC NULLS LAST, s_store_name@2 ASC NULLS LAST, s_company_name@3 ASC NULLS LAST, d_year@4 ASC NULLS LAST, d_moy@5 ASC NULLS LAST, psum@8 ASC NULLS LAST, nsum@9 ASC NULLS LAST], fetch=100
        │   SortExec: TopK(fetch=100), expr=[sum_sales@7 - avg_monthly_sales@6 ASC NULLS LAST, i_category@0 ASC NULLS LAST, i_brand@1 ASC NULLS LAST, s_store_name@2 ASC NULLS LAST, s_company_name@3 ASC NULLS LAST, d_moy@5 ASC NULLS LAST, psum@8 ASC NULLS LAST, nsum@9 ASC NULLS LAST], preserve_partitioning=[true]
        │     ProjectionExec: expr=[i_category@0 as i_category, i_brand@1 as i_brand, s_store_name@2 as s_store_name, s_company_name@3 as s_company_name, d_year@4 as d_year, d_moy@5 as d_moy, avg_monthly_sales@6 as avg_monthly_sales, sum_sales@7 as sum_sales, sum_sales@8 as psum, sum_sales@9 as nsum]
        │       HashJoinExec: mode=Partitioned, join_type=Inner, on=[(i_category@0, i_category@0), (i_brand@1, i_brand@1), (s_store_name@2, s_store_name@2), (s_company_name@3, s_company_name@3), (CAST(v1.rn AS Decimal128(21, 0))@10, v1_lead.rn - Decimal128(Some(1),20,0)@6)], projection=[i_category@0, i_brand@1, s_store_name@2, s_company_name@3, d_year@4, d_moy@5, avg_monthly_sales@7, sum_sales@6, sum_sales@9, sum_sales@15]
        │         RepartitionExec: partitioning=Hash([i_category@0, i_brand@1, s_store_name@2, s_company_name@3, CAST(v1.rn AS Decimal128(21, 0))@10], 3), input_partitions=3
        │           ProjectionExec: expr=[i_category@0 as i_category, i_brand@1 as i_brand, s_store_name@2 as s_store_name, s_company_name@3 as s_company_name, d_year@4 as d_year, d_moy@5 as d_moy, sum_sales@6 as sum_sales, avg_monthly_sales@7 as avg_monthly_sales, rn@8 as rn, sum_sales@9 as sum_sales, CAST(rn@8 AS Decimal128(21, 0)) as CAST(v1.rn AS Decimal128(21, 0))]
        │             HashJoinExec: mode=Partitioned, join_type=Inner, on=[(i_category@0, i_category@0), (i_brand@1, i_brand@1), (s_store_name@2, s_store_name@2), (s_company_name@3, s_company_name@3), (CAST(v1.rn AS Decimal128(21, 0))@9, v1_lag.rn + Decimal128(Some(1),20,0)@6)], projection=[i_category@0, i_brand@1, s_store_name@2, s_company_name@3, d_year@4, d_moy@5, sum_sales@6, avg_monthly_sales@7, rn@8, sum_sales@14]
        │               RepartitionExec: partitioning=Hash([i_category@0, i_brand@1, s_store_name@2, s_company_name@3, CAST(v1.rn AS Decimal128(21, 0))@9], 3), input_partitions=3
        │                 ProjectionExec: expr=[i_category@0 as i_category, i_brand@1 as i_brand, s_store_name@2 as s_store_name, s_company_name@3 as s_company_name, d_year@4 as d_year, d_moy@5 as d_moy, sum(store_sales.ss_sales_price)@6 as sum_sales, avg(sum(store_sales.ss_sales_price)) PARTITION BY [item.i_category, item.i_brand, store.s_store_name, store.s_company_name, date_dim.d_year] ORDER BY [date_dim.d_moy ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@7 as avg_monthly_sales, rank() PARTITION BY [item.i_category, item.i_brand, store.s_store_name, store.s_company_name] ORDER BY [date_dim.d_year ASC NULLS LAST, date_dim.d_moy ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@8 as rn, CAST(rank() PARTITION BY [item.i_category, item.i_brand, store.s_store_name, store.s_company_name] ORDER BY [date_dim.d_year ASC NULLS LAST, date_dim.d_moy ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@8 AS Decimal128(21, 0)) as CAST(v1.rn AS Decimal128(21, 0))]
        │                   FilterExec: d_year@4 = 1999 AND avg(sum(store_sales.ss_sales_price)) PARTITION BY [item.i_category, item.i_brand, store.s_store_name, store.s_company_name, date_dim.d_year] ORDER BY [date_dim.d_moy ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@7 > Some(0),21,6 AND CASE WHEN avg(sum(store_sales.ss_sales_price)) PARTITION BY [item.i_category, item.i_brand, store.s_store_name, store.s_company_name, date_dim.d_year] ORDER BY [date_dim.d_moy ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@7 > Some(0),21,6 THEN abs(sum(store_sales.ss_sales_price)@6 - avg(sum(store_sales.ss_sales_price)) PARTITION BY [item.i_category, item.i_brand, store.s_store_name, store.s_company_name, date_dim.d_year] ORDER BY [date_dim.d_moy ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@7) / avg(sum(store_sales.ss_sales_price)) PARTITION BY [item.i_category, item.i_brand, store.s_store_name, store.s_company_name, date_dim.d_year] ORDER BY [date_dim.d_moy ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@7 END > Some(1000000000),32,10
        │                     BoundedWindowAggExec: wdw=[rank() PARTITION BY [item.i_category, item.i_brand, store.s_store_name, store.s_company_name] ORDER BY [date_dim.d_year ASC NULLS LAST, date_dim.d_moy ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Field { "rank() PARTITION BY [item.i_category, item.i_brand, store.s_store_name, store.s_company_name] ORDER BY [date_dim.d_year ASC NULLS LAST, date_dim.d_moy ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW": UInt64 }, frame: RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW], mode=[Sorted]
        │                       SortExec: expr=[i_category@0 ASC NULLS LAST, i_brand@1 ASC NULLS LAST, s_store_name@2 ASC NULLS LAST, s_company_name@3 ASC NULLS LAST, d_year@4 ASC NULLS LAST, d_moy@5 ASC NULLS LAST], preserve_partitioning=[true]
        │                         RepartitionExec: partitioning=Hash([i_category@0, i_brand@1, s_store_name@2, s_company_name@3], 3), input_partitions=3
        │                           BoundedWindowAggExec: wdw=[avg(sum(store_sales.ss_sales_price)) PARTITION BY [item.i_category, item.i_brand, store.s_store_name, store.s_company_name, date_dim.d_year] ORDER BY [date_dim.d_moy ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Field { "avg(sum(store_sales.ss_sales_price)) PARTITION BY [item.i_category, item.i_brand, store.s_store_name, store.s_company_name, date_dim.d_year] ORDER BY [date_dim.d_moy ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW": nullable Decimal128(21, 6) }, frame: RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW], mode=[Sorted]
        │                             SortExec: expr=[i_category@0 ASC NULLS LAST, i_brand@1 ASC NULLS LAST, s_store_name@2 ASC NULLS LAST, s_company_name@3 ASC NULLS LAST, d_year@4 ASC NULLS LAST, d_moy@5 ASC NULLS LAST], preserve_partitioning=[true]
        │                               [Stage 5] => NetworkShuffleExec: output_partitions=3, input_tasks=2
        │               RepartitionExec: partitioning=Hash([i_category@0, i_brand@1, s_store_name@2, s_company_name@3, v1_lag.rn + Decimal128(Some(1),20,0)@6], 3), input_partitions=3
        │                 ProjectionExec: expr=[i_category@0 as i_category, i_brand@1 as i_brand, s_store_name@2 as s_store_name, s_company_name@3 as s_company_name, sum(store_sales.ss_sales_price)@6 as sum_sales, rank() PARTITION BY [item.i_category, item.i_brand, store.s_store_name, store.s_company_name] ORDER BY [date_dim.d_year ASC NULLS LAST, date_dim.d_moy ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@7 as rn, CAST(rank() PARTITION BY [item.i_category, item.i_brand, store.s_store_name, store.s_company_name] ORDER BY [date_dim.d_year ASC NULLS LAST, date_dim.d_moy ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@7 AS Decimal128(20, 0)) + Some(1),20,0 as v1_lag.rn + Decimal128(Some(1),20,0)]
        │                   BoundedWindowAggExec: wdw=[rank() PARTITION BY [item.i_category, item.i_brand, store.s_store_name, store.s_company_name] ORDER BY [date_dim.d_year ASC NULLS LAST, date_dim.d_moy ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Field { "rank() PARTITION BY [item.i_category, item.i_brand, store.s_store_name, store.s_company_name] ORDER BY [date_dim.d_year ASC NULLS LAST, date_dim.d_moy ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW": UInt64 }, frame: RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW], mode=[Sorted]
        │                     SortExec: expr=[i_category@0 ASC NULLS LAST, i_brand@1 ASC NULLS LAST, s_store_name@2 ASC NULLS LAST, s_company_name@3 ASC NULLS LAST, d_year@4 ASC NULLS LAST, d_moy@5 ASC NULLS LAST], preserve_partitioning=[true]
        │                       [Stage 10] => NetworkShuffleExec: output_partitions=3, input_tasks=2
        │         RepartitionExec: partitioning=Hash([i_category@0, i_brand@1, s_store_name@2, s_company_name@3, v1_lead.rn - Decimal128(Some(1),20,0)@6], 3), input_partitions=3
        │           ProjectionExec: expr=[i_category@0 as i_category, i_brand@1 as i_brand, s_store_name@2 as s_store_name, s_company_name@3 as s_company_name, sum(store_sales.ss_sales_price)@6 as sum_sales, rank() PARTITION BY [item.i_category, item.i_brand, store.s_store_name, store.s_company_name] ORDER BY [date_dim.d_year ASC NULLS LAST, date_dim.d_moy ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@7 as rn, CAST(rank() PARTITION BY [item.i_category, item.i_brand, store.s_store_name, store.s_company_name] ORDER BY [date_dim.d_year ASC NULLS LAST, date_dim.d_moy ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@7 AS Decimal128(20, 0)) - Some(1),20,0 as v1_lead.rn - Decimal128(Some(1),20,0)]
        │             BoundedWindowAggExec: wdw=[rank() PARTITION BY [item.i_category, item.i_brand, store.s_store_name, store.s_company_name] ORDER BY [date_dim.d_year ASC NULLS LAST, date_dim.d_moy ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Field { "rank() PARTITION BY [item.i_category, item.i_brand, store.s_store_name, store.s_company_name] ORDER BY [date_dim.d_year ASC NULLS LAST, date_dim.d_moy ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW": UInt64 }, frame: RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW], mode=[Sorted]
        │               SortExec: expr=[i_category@0 ASC NULLS LAST, i_brand@1 ASC NULLS LAST, s_store_name@2 ASC NULLS LAST, s_company_name@3 ASC NULLS LAST, d_year@4 ASC NULLS LAST, d_moy@5 ASC NULLS LAST], preserve_partitioning=[true]
        │                 [Stage 15] => NetworkShuffleExec: output_partitions=3, input_tasks=2
        └──────────────────────────────────────────────────
          ┌───── Stage 5 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ RepartitionExec: partitioning=Hash([i_category@0, i_brand@1, s_store_name@2, s_company_name@3, d_year@4], 3), input_partitions=3
          │   AggregateExec: mode=FinalPartitioned, gby=[i_category@0 as i_category, i_brand@1 as i_brand, s_store_name@2 as s_store_name, s_company_name@3 as s_company_name, d_year@4 as d_year, d_moy@5 as d_moy], aggr=[sum(store_sales.ss_sales_price)]
          │     [Stage 4] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 4 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([i_category@0, i_brand@1, s_store_name@2, s_company_name@3, d_year@4, d_moy@5], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[i_category@1 as i_category, i_brand@0 as i_brand, s_store_name@5 as s_store_name, s_company_name@6 as s_company_name, d_year@3 as d_year, d_moy@4 as d_moy], aggr=[sum(store_sales.ss_sales_price)]
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(s_store_sk@0, ss_store_sk@2)], projection=[i_brand@3, i_category@4, ss_sales_price@6, d_year@7, d_moy@8, s_store_name@1, s_company_name@2]
            │       CoalescePartitionsExec
            │         [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@2)], projection=[i_brand@3, i_category@4, ss_store_sk@6, ss_sales_price@7, d_year@1, d_moy@2]
            │         CoalescePartitionsExec
            │           [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, ss_item_sk@1)], projection=[i_brand@1, i_category@2, ss_sold_date_sk@3, ss_store_sk@5, ss_sales_price@6]
            │           CoalescePartitionsExec
            │             [Stage 3] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │           DistributedLeafExec:
            │             t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_store_sk, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_store_sk, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_store_sk, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_store_sk, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 1 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name, s_company_name], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name, s_company_name], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name, s_company_name], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name, s_company_name], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 2 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_year@1 = 1999 OR d_year@1 = 1998 AND d_moy@2 = 12 OR d_year@1 = 2000 AND d_moy@2 = 1
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1999 OR d_year@6 = 1998 AND d_moy@8 = 12 OR d_year@6 = 2000 AND d_moy@8 = 1, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1999 AND 1999 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 12 AND 12 <= d_moy_max@5 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 1 AND 1 <= d_moy_max@5, required_guarantees=[d_year in (1998, 1999, 2000)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1999 OR d_year@6 = 1998 AND d_moy@8 = 12 OR d_year@6 = 2000 AND d_moy@8 = 1, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1999 AND 1999 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 12 AND 12 <= d_moy_max@5 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 1 AND 1 <= d_moy_max@5, required_guarantees=[d_year in (1998, 1999, 2000)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1999 OR d_year@6 = 1998 AND d_moy@8 = 12 OR d_year@6 = 2000 AND d_moy@8 = 1, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1999 AND 1999 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 12 AND 12 <= d_moy_max@5 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 1 AND 1 <= d_moy_max@5, required_guarantees=[d_year in (1998, 1999, 2000)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1999 OR d_year@6 = 1998 AND d_moy@8 = 12 OR d_year@6 = 2000 AND d_moy@8 = 1, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1999 AND 1999 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 12 AND 12 <= d_moy_max@5 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 1 AND 1 <= d_moy_max@5, required_guarantees=[d_year in (1998, 1999, 2000)]
              └──────────────────────────────────────────────────
              ┌───── Stage 3 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand, i_category], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand, i_category], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand, i_category], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand, i_category], file_type=parquet
              └──────────────────────────────────────────────────
          ┌───── Stage 10 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ RepartitionExec: partitioning=Hash([i_category@0, i_brand@1, s_store_name@2, s_company_name@3], 3), input_partitions=3
          │   AggregateExec: mode=FinalPartitioned, gby=[i_category@0 as i_category, i_brand@1 as i_brand, s_store_name@2 as s_store_name, s_company_name@3 as s_company_name, d_year@4 as d_year, d_moy@5 as d_moy], aggr=[sum(store_sales.ss_sales_price)]
          │     [Stage 9] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 9 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([i_category@0, i_brand@1, s_store_name@2, s_company_name@3, d_year@4, d_moy@5], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[i_category@1 as i_category, i_brand@0 as i_brand, s_store_name@5 as s_store_name, s_company_name@6 as s_company_name, d_year@3 as d_year, d_moy@4 as d_moy], aggr=[sum(store_sales.ss_sales_price)]
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(s_store_sk@0, ss_store_sk@2)], projection=[i_brand@3, i_category@4, ss_sales_price@6, d_year@7, d_moy@8, s_store_name@1, s_company_name@2]
            │       CoalescePartitionsExec
            │         [Stage 6] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@2)], projection=[i_brand@3, i_category@4, ss_store_sk@6, ss_sales_price@7, d_year@1, d_moy@2]
            │         CoalescePartitionsExec
            │           [Stage 7] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, ss_item_sk@1)], projection=[i_brand@1, i_category@2, ss_sold_date_sk@3, ss_store_sk@5, ss_sales_price@6]
            │           CoalescePartitionsExec
            │             [Stage 8] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │           DistributedLeafExec:
            │             t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_store_sk, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_store_sk, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_store_sk, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_store_sk, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 6 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name, s_company_name], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name, s_company_name], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name, s_company_name], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name, s_company_name], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 7 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_year@1 = 1999 OR d_year@1 = 1998 AND d_moy@2 = 12 OR d_year@1 = 2000 AND d_moy@2 = 1
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1999 OR d_year@6 = 1998 AND d_moy@8 = 12 OR d_year@6 = 2000 AND d_moy@8 = 1, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1999 AND 1999 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 12 AND 12 <= d_moy_max@5 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 1 AND 1 <= d_moy_max@5, required_guarantees=[d_year in (1998, 1999, 2000)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1999 OR d_year@6 = 1998 AND d_moy@8 = 12 OR d_year@6 = 2000 AND d_moy@8 = 1, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1999 AND 1999 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 12 AND 12 <= d_moy_max@5 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 1 AND 1 <= d_moy_max@5, required_guarantees=[d_year in (1998, 1999, 2000)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1999 OR d_year@6 = 1998 AND d_moy@8 = 12 OR d_year@6 = 2000 AND d_moy@8 = 1, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1999 AND 1999 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 12 AND 12 <= d_moy_max@5 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 1 AND 1 <= d_moy_max@5, required_guarantees=[d_year in (1998, 1999, 2000)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1999 OR d_year@6 = 1998 AND d_moy@8 = 12 OR d_year@6 = 2000 AND d_moy@8 = 1, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1999 AND 1999 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 12 AND 12 <= d_moy_max@5 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 1 AND 1 <= d_moy_max@5, required_guarantees=[d_year in (1998, 1999, 2000)]
              └──────────────────────────────────────────────────
              ┌───── Stage 8 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand, i_category], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand, i_category], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand, i_category], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand, i_category], file_type=parquet
              └──────────────────────────────────────────────────
          ┌───── Stage 15 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ RepartitionExec: partitioning=Hash([i_category@0, i_brand@1, s_store_name@2, s_company_name@3], 3), input_partitions=3
          │   AggregateExec: mode=FinalPartitioned, gby=[i_category@0 as i_category, i_brand@1 as i_brand, s_store_name@2 as s_store_name, s_company_name@3 as s_company_name, d_year@4 as d_year, d_moy@5 as d_moy], aggr=[sum(store_sales.ss_sales_price)]
          │     [Stage 14] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 14 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([i_category@0, i_brand@1, s_store_name@2, s_company_name@3, d_year@4, d_moy@5], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[i_category@1 as i_category, i_brand@0 as i_brand, s_store_name@5 as s_store_name, s_company_name@6 as s_company_name, d_year@3 as d_year, d_moy@4 as d_moy], aggr=[sum(store_sales.ss_sales_price)]
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(s_store_sk@0, ss_store_sk@2)], projection=[i_brand@3, i_category@4, ss_sales_price@6, d_year@7, d_moy@8, s_store_name@1, s_company_name@2]
            │       CoalescePartitionsExec
            │         [Stage 11] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@2)], projection=[i_brand@3, i_category@4, ss_store_sk@6, ss_sales_price@7, d_year@1, d_moy@2]
            │         CoalescePartitionsExec
            │           [Stage 12] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, ss_item_sk@1)], projection=[i_brand@1, i_category@2, ss_sold_date_sk@3, ss_store_sk@5, ss_sales_price@6]
            │           CoalescePartitionsExec
            │             [Stage 13] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │           DistributedLeafExec:
            │             t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_store_sk, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_store_sk, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_store_sk, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_store_sk, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 11 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name, s_company_name], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name, s_company_name], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name, s_company_name], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name, s_company_name], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 12 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_year@1 = 1999 OR d_year@1 = 1998 AND d_moy@2 = 12 OR d_year@1 = 2000 AND d_moy@2 = 1
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1999 OR d_year@6 = 1998 AND d_moy@8 = 12 OR d_year@6 = 2000 AND d_moy@8 = 1, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1999 AND 1999 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 12 AND 12 <= d_moy_max@5 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 1 AND 1 <= d_moy_max@5, required_guarantees=[d_year in (1998, 1999, 2000)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1999 OR d_year@6 = 1998 AND d_moy@8 = 12 OR d_year@6 = 2000 AND d_moy@8 = 1, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1999 AND 1999 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 12 AND 12 <= d_moy_max@5 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 1 AND 1 <= d_moy_max@5, required_guarantees=[d_year in (1998, 1999, 2000)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1999 OR d_year@6 = 1998 AND d_moy@8 = 12 OR d_year@6 = 2000 AND d_moy@8 = 1, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1999 AND 1999 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 12 AND 12 <= d_moy_max@5 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 1 AND 1 <= d_moy_max@5, required_guarantees=[d_year in (1998, 1999, 2000)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1999 OR d_year@6 = 1998 AND d_moy@8 = 12 OR d_year@6 = 2000 AND d_moy@8 = 1, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1999 AND 1999 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 12 AND 12 <= d_moy_max@5 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 1 AND 1 <= d_moy_max@5, required_guarantees=[d_year in (1998, 1999, 2000)]
              └──────────────────────────────────────────────────
              ┌───── Stage 13 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand, i_category], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand, i_category], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand, i_category], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand, i_category], file_type=parquet
              └──────────────────────────────────────────────────
        "#);
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_48() -> Result<()> {
        let display = test_tpcds_query("q48").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ AggregateExec: mode=Final, gby=[], aggr=[sum(store_sales.ss_quantity)]
        │   CoalescePartitionsExec
        │     [Stage 6] => NetworkCoalesceExec: output_partitions=12, input_tasks=4
        └──────────────────────────────────────────────────
          ┌───── Stage 6 ── Tasks: t0:[p0..p2] t1:[p0..p2] t2:[p0..p2] t3:[p0..p2]
          │ AggregateExec: mode=Partial, gby=[], aggr=[sum(store_sales.ss_quantity)]
          │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[ss_quantity@2]
          │     CoalescePartitionsExec
          │       [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
          │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(ca_address_sk@0, ss_addr_sk@1)], filter=(ca_state@1 = CO OR ca_state@1 = OH OR ca_state@1 = TX) AND ss_net_profit@0 >= Some(0),7,2 AND ss_net_profit@0 <= Some(200000),7,2 OR (ca_state@1 = OR OR ca_state@1 = MN OR ca_state@1 = KY) AND ss_net_profit@0 >= Some(15000),7,2 AND ss_net_profit@0 <= Some(300000),7,2 OR (ca_state@1 = VA OR ca_state@1 = CA OR ca_state@1 = MS) AND ss_net_profit@0 >= Some(5000),7,2 AND ss_net_profit@0 <= Some(2500000),7,2, projection=[ss_sold_date_sk@2, ss_quantity@4]
          │       CoalescePartitionsExec
          │         [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
          │       HashJoinExec: mode=Partitioned, join_type=Inner, on=[(cd_demo_sk@0, ss_cdemo_sk@1)], filter=cd_marital_status@1 = M AND cd_education_status@2 = 4 yr Degree AND ss_sales_price@0 >= Some(10000),7,2 AND ss_sales_price@0 <= Some(15000),7,2 OR cd_marital_status@1 = D AND cd_education_status@2 = 2 yr Degree AND ss_sales_price@0 >= Some(5000),7,2 AND ss_sales_price@0 <= Some(10000),7,2 OR cd_marital_status@1 = S AND cd_education_status@2 = College AND ss_sales_price@0 >= Some(15000),7,2 AND ss_sales_price@0 <= Some(20000),7,2, projection=[ss_sold_date_sk@3, ss_addr_sk@5, ss_quantity@6, ss_net_profit@8]
          │         [Stage 3] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          │         [Stage 5] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 1 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   FilterExec: d_year@1 = 2000, projection=[d_date_sk@0]
            │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2000, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1, required_guarantees=[d_year in (2000)]
            │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2000, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1, required_guarantees=[d_year in (2000)]
            │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2000, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1, required_guarantees=[d_year in (2000)]
            │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2000, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1, required_guarantees=[d_year in (2000)]
            └──────────────────────────────────────────────────
            ┌───── Stage 2 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   FilterExec: ca_country@2 = United States AND ca_state@1 IN (SET) ([CO, OH, TX, OR, MN, KY, VA, CA, MS]) AND (ca_state@1 = CO OR ca_state@1 = OH OR ca_state@1 = TX OR ca_state@1 = OR OR ca_state@1 = MN OR ca_state@1 = KY OR ca_state@1 = VA OR ca_state@1 = CA OR ca_state@1 = MS), projection=[ca_address_sk@0, ca_state@1]
            │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_state, ca_country], file_type=parquet, predicate=ca_country@10 = United States AND ca_state@8 IN (SET) ([CO, OH, TX, OR, MN, KY, VA, CA, MS]) AND (ca_state@8 = CO OR ca_state@8 = OH OR ca_state@8 = TX OR ca_state@8 = OR OR ca_state@8 = MN OR ca_state@8 = KY OR ca_state@8 = VA OR ca_state@8 = CA OR ca_state@8 = MS), pruning_predicate=ca_country_null_count@2 != row_count@3 AND ca_country_min@0 <= United States AND United States <= ca_country_max@1 AND (ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= CO AND CO <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= OH AND OH <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= TX AND TX <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= OR AND OR <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= MN AND MN <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= KY AND KY <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= VA AND VA <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= CA AND CA <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= MS AND MS <= ca_state_max@5) AND (ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= CO AND CO <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= OH AND OH <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= TX AND TX <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= OR AND OR <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= MN AND MN <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= KY AND KY <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= VA AND VA <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= CA AND CA <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= MS AND MS <= ca_state_max@5), required_guarantees=[ca_country in (United States), ca_state in (CA, CO, KY, MN, MS, OH, OR, TX, VA)]
            │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_state, ca_country], file_type=parquet, predicate=ca_country@10 = United States AND ca_state@8 IN (SET) ([CO, OH, TX, OR, MN, KY, VA, CA, MS]) AND (ca_state@8 = CO OR ca_state@8 = OH OR ca_state@8 = TX OR ca_state@8 = OR OR ca_state@8 = MN OR ca_state@8 = KY OR ca_state@8 = VA OR ca_state@8 = CA OR ca_state@8 = MS), pruning_predicate=ca_country_null_count@2 != row_count@3 AND ca_country_min@0 <= United States AND United States <= ca_country_max@1 AND (ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= CO AND CO <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= OH AND OH <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= TX AND TX <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= OR AND OR <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= MN AND MN <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= KY AND KY <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= VA AND VA <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= CA AND CA <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= MS AND MS <= ca_state_max@5) AND (ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= CO AND CO <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= OH AND OH <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= TX AND TX <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= OR AND OR <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= MN AND MN <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= KY AND KY <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= VA AND VA <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= CA AND CA <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= MS AND MS <= ca_state_max@5), required_guarantees=[ca_country in (United States), ca_state in (CA, CO, KY, MN, MS, OH, OR, TX, VA)]
            │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_state, ca_country], file_type=parquet, predicate=ca_country@10 = United States AND ca_state@8 IN (SET) ([CO, OH, TX, OR, MN, KY, VA, CA, MS]) AND (ca_state@8 = CO OR ca_state@8 = OH OR ca_state@8 = TX OR ca_state@8 = OR OR ca_state@8 = MN OR ca_state@8 = KY OR ca_state@8 = VA OR ca_state@8 = CA OR ca_state@8 = MS), pruning_predicate=ca_country_null_count@2 != row_count@3 AND ca_country_min@0 <= United States AND United States <= ca_country_max@1 AND (ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= CO AND CO <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= OH AND OH <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= TX AND TX <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= OR AND OR <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= MN AND MN <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= KY AND KY <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= VA AND VA <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= CA AND CA <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= MS AND MS <= ca_state_max@5) AND (ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= CO AND CO <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= OH AND OH <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= TX AND TX <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= OR AND OR <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= MN AND MN <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= KY AND KY <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= VA AND VA <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= CA AND CA <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= MS AND MS <= ca_state_max@5), required_guarantees=[ca_country in (United States), ca_state in (CA, CO, KY, MN, MS, OH, OR, TX, VA)]
            │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_state, ca_country], file_type=parquet, predicate=ca_country@10 = United States AND ca_state@8 IN (SET) ([CO, OH, TX, OR, MN, KY, VA, CA, MS]) AND (ca_state@8 = CO OR ca_state@8 = OH OR ca_state@8 = TX OR ca_state@8 = OR OR ca_state@8 = MN OR ca_state@8 = KY OR ca_state@8 = VA OR ca_state@8 = CA OR ca_state@8 = MS), pruning_predicate=ca_country_null_count@2 != row_count@3 AND ca_country_min@0 <= United States AND United States <= ca_country_max@1 AND (ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= CO AND CO <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= OH AND OH <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= TX AND TX <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= OR AND OR <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= MN AND MN <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= KY AND KY <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= VA AND VA <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= CA AND CA <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= MS AND MS <= ca_state_max@5) AND (ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= CO AND CO <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= OH AND OH <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= TX AND TX <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= OR AND OR <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= MN AND MN <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= KY AND KY <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= VA AND VA <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= CA AND CA <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= MS AND MS <= ca_state_max@5), required_guarantees=[ca_country in (United States), ca_state in (CA, CO, KY, MN, MS, OH, OR, TX, VA)]
            └──────────────────────────────────────────────────
            ┌───── Stage 3 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
            │ RepartitionExec: partitioning=Hash([cd_demo_sk@0], 12), input_partitions=3
            │   FilterExec: cd_marital_status@1 = M AND cd_education_status@2 = 4 yr Degree OR cd_marital_status@1 = D AND cd_education_status@2 = 2 yr Degree OR cd_marital_status@1 = S AND cd_education_status@2 = College
            │     DistributedLeafExec:
            │       t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_marital_status, cd_education_status], file_type=parquet, predicate=cd_marital_status@2 = M AND cd_education_status@3 = 4 yr Degree OR cd_marital_status@2 = D AND cd_education_status@3 = 2 yr Degree OR cd_marital_status@2 = S AND cd_education_status@3 = College, pruning_predicate=cd_marital_status_null_count@2 != row_count@3 AND cd_marital_status_min@0 <= M AND M <= cd_marital_status_max@1 AND cd_education_status_null_count@6 != row_count@3 AND cd_education_status_min@4 <= 4 yr Degree AND 4 yr Degree <= cd_education_status_max@5 OR cd_marital_status_null_count@2 != row_count@3 AND cd_marital_status_min@0 <= D AND D <= cd_marital_status_max@1 AND cd_education_status_null_count@6 != row_count@3 AND cd_education_status_min@4 <= 2 yr Degree AND 2 yr Degree <= cd_education_status_max@5 OR cd_marital_status_null_count@2 != row_count@3 AND cd_marital_status_min@0 <= S AND S <= cd_marital_status_max@1 AND cd_education_status_null_count@6 != row_count@3 AND cd_education_status_min@4 <= College AND College <= cd_education_status_max@5, required_guarantees=[cd_education_status in (2 yr Degree, 4 yr Degree, College), cd_marital_status in (D, M, S)]
            │       t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-3.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_marital_status, cd_education_status], file_type=parquet, predicate=cd_marital_status@2 = M AND cd_education_status@3 = 4 yr Degree OR cd_marital_status@2 = D AND cd_education_status@3 = 2 yr Degree OR cd_marital_status@2 = S AND cd_education_status@3 = College, pruning_predicate=cd_marital_status_null_count@2 != row_count@3 AND cd_marital_status_min@0 <= M AND M <= cd_marital_status_max@1 AND cd_education_status_null_count@6 != row_count@3 AND cd_education_status_min@4 <= 4 yr Degree AND 4 yr Degree <= cd_education_status_max@5 OR cd_marital_status_null_count@2 != row_count@3 AND cd_marital_status_min@0 <= D AND D <= cd_marital_status_max@1 AND cd_education_status_null_count@6 != row_count@3 AND cd_education_status_min@4 <= 2 yr Degree AND 2 yr Degree <= cd_education_status_max@5 OR cd_marital_status_null_count@2 != row_count@3 AND cd_marital_status_min@0 <= S AND S <= cd_marital_status_max@1 AND cd_education_status_null_count@6 != row_count@3 AND cd_education_status_min@4 <= College AND College <= cd_education_status_max@5, required_guarantees=[cd_education_status in (2 yr Degree, 4 yr Degree, College), cd_marital_status in (D, M, S)]
            │       t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-3.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_marital_status, cd_education_status], file_type=parquet, predicate=cd_marital_status@2 = M AND cd_education_status@3 = 4 yr Degree OR cd_marital_status@2 = D AND cd_education_status@3 = 2 yr Degree OR cd_marital_status@2 = S AND cd_education_status@3 = College, pruning_predicate=cd_marital_status_null_count@2 != row_count@3 AND cd_marital_status_min@0 <= M AND M <= cd_marital_status_max@1 AND cd_education_status_null_count@6 != row_count@3 AND cd_education_status_min@4 <= 4 yr Degree AND 4 yr Degree <= cd_education_status_max@5 OR cd_marital_status_null_count@2 != row_count@3 AND cd_marital_status_min@0 <= D AND D <= cd_marital_status_max@1 AND cd_education_status_null_count@6 != row_count@3 AND cd_education_status_min@4 <= 2 yr Degree AND 2 yr Degree <= cd_education_status_max@5 OR cd_marital_status_null_count@2 != row_count@3 AND cd_marital_status_min@0 <= S AND S <= cd_marital_status_max@1 AND cd_education_status_null_count@6 != row_count@3 AND cd_education_status_min@4 <= College AND College <= cd_education_status_max@5, required_guarantees=[cd_education_status in (2 yr Degree, 4 yr Degree, College), cd_marital_status in (D, M, S)]
            │       t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-3.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_marital_status, cd_education_status], file_type=parquet, predicate=cd_marital_status@2 = M AND cd_education_status@3 = 4 yr Degree OR cd_marital_status@2 = D AND cd_education_status@3 = 2 yr Degree OR cd_marital_status@2 = S AND cd_education_status@3 = College, pruning_predicate=cd_marital_status_null_count@2 != row_count@3 AND cd_marital_status_min@0 <= M AND M <= cd_marital_status_max@1 AND cd_education_status_null_count@6 != row_count@3 AND cd_education_status_min@4 <= 4 yr Degree AND 4 yr Degree <= cd_education_status_max@5 OR cd_marital_status_null_count@2 != row_count@3 AND cd_marital_status_min@0 <= D AND D <= cd_marital_status_max@1 AND cd_education_status_null_count@6 != row_count@3 AND cd_education_status_min@4 <= 2 yr Degree AND 2 yr Degree <= cd_education_status_max@5 OR cd_marital_status_null_count@2 != row_count@3 AND cd_marital_status_min@0 <= S AND S <= cd_marital_status_max@1 AND cd_education_status_null_count@6 != row_count@3 AND cd_education_status_min@4 <= College AND College <= cd_education_status_max@5, required_guarantees=[cd_education_status in (2 yr Degree, 4 yr Degree, College), cd_marital_status in (D, M, S)]
            └──────────────────────────────────────────────────
            ┌───── Stage 5 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
            │ RepartitionExec: partitioning=Hash([ss_cdemo_sk@1], 12), input_partitions=3
            │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(s_store_sk@0, ss_store_sk@3)], projection=[ss_sold_date_sk@1, ss_cdemo_sk@2, ss_addr_sk@3, ss_quantity@5, ss_sales_price@6, ss_net_profit@7]
            │     CoalescePartitionsExec
            │       [Stage 4] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │     FilterExec: (ss_net_profit@6 >= Some(0),7,2 AND ss_net_profit@6 <= Some(200000),7,2 OR ss_net_profit@6 >= Some(15000),7,2 AND ss_net_profit@6 <= Some(300000),7,2 OR ss_net_profit@6 >= Some(5000),7,2 AND ss_net_profit@6 <= Some(2500000),7,2) AND (ss_sales_price@5 >= Some(10000),7,2 AND ss_sales_price@5 <= Some(15000),7,2 OR ss_sales_price@5 >= Some(5000),7,2 AND ss_sales_price@5 <= Some(10000),7,2 OR ss_sales_price@5 >= Some(15000),7,2 AND ss_sales_price@5 <= Some(20000),7,2)
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_cdemo_sk, ss_addr_sk, ss_store_sk, ss_quantity, ss_sales_price, ss_net_profit], file_type=parquet, predicate=(ss_net_profit@22 >= Some(0),7,2 AND ss_net_profit@22 <= Some(200000),7,2 OR ss_net_profit@22 >= Some(15000),7,2 AND ss_net_profit@22 <= Some(300000),7,2 OR ss_net_profit@22 >= Some(5000),7,2 AND ss_net_profit@22 <= Some(2500000),7,2) AND (ss_sales_price@13 >= Some(10000),7,2 AND ss_sales_price@13 <= Some(15000),7,2 OR ss_sales_price@13 >= Some(5000),7,2 AND ss_sales_price@13 <= Some(10000),7,2 OR ss_sales_price@13 >= Some(15000),7,2 AND ss_sales_price@13 <= Some(20000),7,2) AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ], pruning_predicate=(ss_net_profit_null_count@1 != row_count@2 AND ss_net_profit_max@0 >= Some(0),7,2 AND ss_net_profit_null_count@1 != row_count@2 AND ss_net_profit_min@3 <= Some(200000),7,2 OR ss_net_profit_null_count@1 != row_count@2 AND ss_net_profit_max@0 >= Some(15000),7,2 AND ss_net_profit_null_count@1 != row_count@2 AND ss_net_profit_min@3 <= Some(300000),7,2 OR ss_net_profit_null_count@1 != row_count@2 AND ss_net_profit_max@0 >= Some(5000),7,2 AND ss_net_profit_null_count@1 != row_count@2 AND ss_net_profit_min@3 <= Some(2500000),7,2) AND (ss_sales_price_null_count@5 != row_count@2 AND ss_sales_price_max@4 >= Some(10000),7,2 AND ss_sales_price_null_count@5 != row_count@2 AND ss_sales_price_min@6 <= Some(15000),7,2 OR ss_sales_price_null_count@5 != row_count@2 AND ss_sales_price_max@4 >= Some(5000),7,2 AND ss_sales_price_null_count@5 != row_count@2 AND ss_sales_price_min@6 <= Some(10000),7,2 OR ss_sales_price_null_count@5 != row_count@2 AND ss_sales_price_max@4 >= Some(15000),7,2 AND ss_sales_price_null_count@5 != row_count@2 AND ss_sales_price_min@6 <= Some(20000),7,2), required_guarantees=[]
            │         t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_cdemo_sk, ss_addr_sk, ss_store_sk, ss_quantity, ss_sales_price, ss_net_profit], file_type=parquet, predicate=(ss_net_profit@22 >= Some(0),7,2 AND ss_net_profit@22 <= Some(200000),7,2 OR ss_net_profit@22 >= Some(15000),7,2 AND ss_net_profit@22 <= Some(300000),7,2 OR ss_net_profit@22 >= Some(5000),7,2 AND ss_net_profit@22 <= Some(2500000),7,2) AND (ss_sales_price@13 >= Some(10000),7,2 AND ss_sales_price@13 <= Some(15000),7,2 OR ss_sales_price@13 >= Some(5000),7,2 AND ss_sales_price@13 <= Some(10000),7,2 OR ss_sales_price@13 >= Some(15000),7,2 AND ss_sales_price@13 <= Some(20000),7,2) AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ], pruning_predicate=(ss_net_profit_null_count@1 != row_count@2 AND ss_net_profit_max@0 >= Some(0),7,2 AND ss_net_profit_null_count@1 != row_count@2 AND ss_net_profit_min@3 <= Some(200000),7,2 OR ss_net_profit_null_count@1 != row_count@2 AND ss_net_profit_max@0 >= Some(15000),7,2 AND ss_net_profit_null_count@1 != row_count@2 AND ss_net_profit_min@3 <= Some(300000),7,2 OR ss_net_profit_null_count@1 != row_count@2 AND ss_net_profit_max@0 >= Some(5000),7,2 AND ss_net_profit_null_count@1 != row_count@2 AND ss_net_profit_min@3 <= Some(2500000),7,2) AND (ss_sales_price_null_count@5 != row_count@2 AND ss_sales_price_max@4 >= Some(10000),7,2 AND ss_sales_price_null_count@5 != row_count@2 AND ss_sales_price_min@6 <= Some(15000),7,2 OR ss_sales_price_null_count@5 != row_count@2 AND ss_sales_price_max@4 >= Some(5000),7,2 AND ss_sales_price_null_count@5 != row_count@2 AND ss_sales_price_min@6 <= Some(10000),7,2 OR ss_sales_price_null_count@5 != row_count@2 AND ss_sales_price_max@4 >= Some(15000),7,2 AND ss_sales_price_null_count@5 != row_count@2 AND ss_sales_price_min@6 <= Some(20000),7,2), required_guarantees=[]
            │         t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_cdemo_sk, ss_addr_sk, ss_store_sk, ss_quantity, ss_sales_price, ss_net_profit], file_type=parquet, predicate=(ss_net_profit@22 >= Some(0),7,2 AND ss_net_profit@22 <= Some(200000),7,2 OR ss_net_profit@22 >= Some(15000),7,2 AND ss_net_profit@22 <= Some(300000),7,2 OR ss_net_profit@22 >= Some(5000),7,2 AND ss_net_profit@22 <= Some(2500000),7,2) AND (ss_sales_price@13 >= Some(10000),7,2 AND ss_sales_price@13 <= Some(15000),7,2 OR ss_sales_price@13 >= Some(5000),7,2 AND ss_sales_price@13 <= Some(10000),7,2 OR ss_sales_price@13 >= Some(15000),7,2 AND ss_sales_price@13 <= Some(20000),7,2) AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ], pruning_predicate=(ss_net_profit_null_count@1 != row_count@2 AND ss_net_profit_max@0 >= Some(0),7,2 AND ss_net_profit_null_count@1 != row_count@2 AND ss_net_profit_min@3 <= Some(200000),7,2 OR ss_net_profit_null_count@1 != row_count@2 AND ss_net_profit_max@0 >= Some(15000),7,2 AND ss_net_profit_null_count@1 != row_count@2 AND ss_net_profit_min@3 <= Some(300000),7,2 OR ss_net_profit_null_count@1 != row_count@2 AND ss_net_profit_max@0 >= Some(5000),7,2 AND ss_net_profit_null_count@1 != row_count@2 AND ss_net_profit_min@3 <= Some(2500000),7,2) AND (ss_sales_price_null_count@5 != row_count@2 AND ss_sales_price_max@4 >= Some(10000),7,2 AND ss_sales_price_null_count@5 != row_count@2 AND ss_sales_price_min@6 <= Some(15000),7,2 OR ss_sales_price_null_count@5 != row_count@2 AND ss_sales_price_max@4 >= Some(5000),7,2 AND ss_sales_price_null_count@5 != row_count@2 AND ss_sales_price_min@6 <= Some(10000),7,2 OR ss_sales_price_null_count@5 != row_count@2 AND ss_sales_price_max@4 >= Some(15000),7,2 AND ss_sales_price_null_count@5 != row_count@2 AND ss_sales_price_min@6 <= Some(20000),7,2), required_guarantees=[]
            │         t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_cdemo_sk, ss_addr_sk, ss_store_sk, ss_quantity, ss_sales_price, ss_net_profit], file_type=parquet, predicate=(ss_net_profit@22 >= Some(0),7,2 AND ss_net_profit@22 <= Some(200000),7,2 OR ss_net_profit@22 >= Some(15000),7,2 AND ss_net_profit@22 <= Some(300000),7,2 OR ss_net_profit@22 >= Some(5000),7,2 AND ss_net_profit@22 <= Some(2500000),7,2) AND (ss_sales_price@13 >= Some(10000),7,2 AND ss_sales_price@13 <= Some(15000),7,2 OR ss_sales_price@13 >= Some(5000),7,2 AND ss_sales_price@13 <= Some(10000),7,2 OR ss_sales_price@13 >= Some(15000),7,2 AND ss_sales_price@13 <= Some(20000),7,2) AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ], pruning_predicate=(ss_net_profit_null_count@1 != row_count@2 AND ss_net_profit_max@0 >= Some(0),7,2 AND ss_net_profit_null_count@1 != row_count@2 AND ss_net_profit_min@3 <= Some(200000),7,2 OR ss_net_profit_null_count@1 != row_count@2 AND ss_net_profit_max@0 >= Some(15000),7,2 AND ss_net_profit_null_count@1 != row_count@2 AND ss_net_profit_min@3 <= Some(300000),7,2 OR ss_net_profit_null_count@1 != row_count@2 AND ss_net_profit_max@0 >= Some(5000),7,2 AND ss_net_profit_null_count@1 != row_count@2 AND ss_net_profit_min@3 <= Some(2500000),7,2) AND (ss_sales_price_null_count@5 != row_count@2 AND ss_sales_price_max@4 >= Some(10000),7,2 AND ss_sales_price_null_count@5 != row_count@2 AND ss_sales_price_min@6 <= Some(15000),7,2 OR ss_sales_price_null_count@5 != row_count@2 AND ss_sales_price_max@4 >= Some(5000),7,2 AND ss_sales_price_null_count@5 != row_count@2 AND ss_sales_price_min@6 <= Some(10000),7,2 OR ss_sales_price_null_count@5 != row_count@2 AND ss_sales_price_max@4 >= Some(15000),7,2 AND ss_sales_price_null_count@5 != row_count@2 AND ss_sales_price_min@6 <= Some(20000),7,2), required_guarantees=[]
            └──────────────────────────────────────────────────
              ┌───── Stage 4 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>]]}, projection=[s_store_sk], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>]]}, projection=[s_store_sk], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk], file_type=parquet
              └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_49() -> Result<()> {
        let display = test_tpcds_query("q49").await?;
        assert_snapshot!(display, @r#"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [channel@0 ASC, return_rank@3 ASC, currency_rank@4 ASC, item@1 ASC], fetch=100
        │   SortExec: TopK(fetch=100), expr=[channel@0 ASC, return_rank@3 ASC, currency_rank@4 ASC, item@1 ASC], preserve_partitioning=[true]
        │     AggregateExec: mode=FinalPartitioned, gby=[channel@0 as channel, item@1 as item, return_ratio@2 as return_ratio, return_rank@3 as return_rank, currency_rank@4 as currency_rank], aggr=[]
        │       [Stage 16] => NetworkShuffleExec: output_partitions=3, input_tasks=3
        └──────────────────────────────────────────────────
          ┌───── Stage 16 ── Tasks: t0:[p0..p2] t1:[p0..p2] t2:[p0..p2]
          │ RepartitionExec: partitioning=Hash([channel@0, item@1, return_ratio@2, return_rank@3, currency_rank@4], 3), input_partitions=3
          │   AggregateExec: mode=Partial, gby=[channel@0 as channel, item@1 as item, return_ratio@2 as return_ratio, return_rank@3 as return_rank, currency_rank@4 as currency_rank], aggr=[], ordering_mode=PartiallySorted([0, 4])
          │     DistributedUnionExec: t0:[c0] t1:[c1] t2:[c2]
          │       ProjectionExec: expr=[web as channel, item@0 as item, return_ratio@1 as return_ratio, rank() ORDER BY [in_web.return_ratio ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@2 as return_rank, rank() ORDER BY [in_web.currency_ratio ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@3 as currency_rank]
          │         FilterExec: rank() ORDER BY [in_web.return_ratio ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@2 <= 10 OR rank() ORDER BY [in_web.currency_ratio ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@3 <= 10
          │           RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=1, maintains_sort_order=true
          │             ProjectionExec: expr=[item@0 as item, return_ratio@1 as return_ratio, rank() ORDER BY [in_web.return_ratio ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@3 as rank() ORDER BY [in_web.return_ratio ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW, rank() ORDER BY [in_web.currency_ratio ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@4 as rank() ORDER BY [in_web.currency_ratio ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW]
          │               BoundedWindowAggExec: wdw=[rank() ORDER BY [in_web.currency_ratio ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Field { "rank() ORDER BY [in_web.currency_ratio ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW": UInt64 }, frame: RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW], mode=[Sorted]
          │                 SortExec: expr=[currency_ratio@2 ASC NULLS LAST], preserve_partitioning=[false]
          │                   BoundedWindowAggExec: wdw=[rank() ORDER BY [in_web.return_ratio ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Field { "rank() ORDER BY [in_web.return_ratio ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW": UInt64 }, frame: RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW], mode=[Sorted]
          │                     SortPreservingMergeExec: [return_ratio@1 ASC NULLS LAST]
          │                       [Stage 5] => NetworkCoalesceExec: output_partitions=6, input_tasks=2
          │       ProjectionExec: expr=[catalog as channel, item@0 as item, return_ratio@1 as return_ratio, rank() ORDER BY [in_cat.return_ratio ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@2 as return_rank, rank() ORDER BY [in_cat.currency_ratio ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@3 as currency_rank]
          │         FilterExec: rank() ORDER BY [in_cat.return_ratio ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@2 <= 10 OR rank() ORDER BY [in_cat.currency_ratio ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@3 <= 10
          │           RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=1, maintains_sort_order=true
          │             ProjectionExec: expr=[item@0 as item, return_ratio@1 as return_ratio, rank() ORDER BY [in_cat.return_ratio ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@3 as rank() ORDER BY [in_cat.return_ratio ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW, rank() ORDER BY [in_cat.currency_ratio ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@4 as rank() ORDER BY [in_cat.currency_ratio ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW]
          │               BoundedWindowAggExec: wdw=[rank() ORDER BY [in_cat.currency_ratio ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Field { "rank() ORDER BY [in_cat.currency_ratio ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW": UInt64 }, frame: RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW], mode=[Sorted]
          │                 SortExec: expr=[currency_ratio@2 ASC NULLS LAST], preserve_partitioning=[false]
          │                   BoundedWindowAggExec: wdw=[rank() ORDER BY [in_cat.return_ratio ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Field { "rank() ORDER BY [in_cat.return_ratio ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW": UInt64 }, frame: RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW], mode=[Sorted]
          │                     SortPreservingMergeExec: [return_ratio@1 ASC NULLS LAST]
          │                       [Stage 10] => NetworkCoalesceExec: output_partitions=6, input_tasks=2
          │       ProjectionExec: expr=[store as channel, item@0 as item, return_ratio@1 as return_ratio, rank() ORDER BY [in_store.return_ratio ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@2 as return_rank, rank() ORDER BY [in_store.currency_ratio ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@3 as currency_rank]
          │         FilterExec: rank() ORDER BY [in_store.return_ratio ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@2 <= 10 OR rank() ORDER BY [in_store.currency_ratio ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@3 <= 10
          │           RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=1, maintains_sort_order=true
          │             ProjectionExec: expr=[item@0 as item, return_ratio@1 as return_ratio, rank() ORDER BY [in_store.return_ratio ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@3 as rank() ORDER BY [in_store.return_ratio ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW, rank() ORDER BY [in_store.currency_ratio ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@4 as rank() ORDER BY [in_store.currency_ratio ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW]
          │               BoundedWindowAggExec: wdw=[rank() ORDER BY [in_store.currency_ratio ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Field { "rank() ORDER BY [in_store.currency_ratio ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW": UInt64 }, frame: RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW], mode=[Sorted]
          │                 SortExec: expr=[currency_ratio@2 ASC NULLS LAST], preserve_partitioning=[false]
          │                   BoundedWindowAggExec: wdw=[rank() ORDER BY [in_store.return_ratio ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Field { "rank() ORDER BY [in_store.return_ratio ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW": UInt64 }, frame: RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW], mode=[Sorted]
          │                     SortPreservingMergeExec: [return_ratio@1 ASC NULLS LAST]
          │                       [Stage 15] => NetworkCoalesceExec: output_partitions=6, input_tasks=2
          └──────────────────────────────────────────────────
            ┌───── Stage 5 ── Tasks: t0:[p0..p2] t1:[p0..p2]
            │ SortExec: expr=[return_ratio@1 ASC NULLS LAST], preserve_partitioning=[true]
            │   ProjectionExec: expr=[ws_item_sk@0 as item, CAST(sum(coalesce(wr.wr_return_quantity,Int64(0)))@1 AS Decimal128(15, 4)) / CAST(sum(coalesce(ws.ws_quantity,Int64(0)))@2 AS Decimal128(15, 4)) as return_ratio, CAST(sum(coalesce(wr.wr_return_amt,Int64(0)))@3 AS Decimal128(15, 4)) / CAST(sum(coalesce(ws.ws_net_paid,Int64(0)))@4 AS Decimal128(15, 4)) as currency_ratio]
            │     AggregateExec: mode=FinalPartitioned, gby=[ws_item_sk@0 as ws_item_sk], aggr=[sum(CASE WHEN __common_expr_1 IS NOT NULL THEN __common_expr_1 ELSE 0 END) as sum(coalesce(wr.wr_return_quantity,Int64(0))), sum(CASE WHEN __common_expr_2 IS NOT NULL THEN __common_expr_2 ELSE 0 END) as sum(coalesce(ws.ws_quantity,Int64(0))), sum(CASE WHEN __common_expr_3 IS NOT NULL THEN __common_expr_3 ELSE Some(0),22,2 END) as sum(coalesce(wr.wr_return_amt,Int64(0))), sum(CASE WHEN __common_expr_4 IS NOT NULL THEN __common_expr_4 ELSE Some(0),22,2 END) as sum(coalesce(ws.ws_net_paid,Int64(0)))]
            │       [Stage 4] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            └──────────────────────────────────────────────────
              ┌───── Stage 4 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
              │ RepartitionExec: partitioning=Hash([ws_item_sk@0], 6), input_partitions=3
              │   AggregateExec: mode=Partial, gby=[ws_item_sk@4 as ws_item_sk], aggr=[sum(CASE WHEN __common_expr_1 IS NOT NULL THEN __common_expr_1 ELSE 0 END) as sum(coalesce(wr.wr_return_quantity,Int64(0))), sum(CASE WHEN __common_expr_2 IS NOT NULL THEN __common_expr_2 ELSE 0 END) as sum(coalesce(ws.ws_quantity,Int64(0))), sum(CASE WHEN __common_expr_3 IS NOT NULL THEN __common_expr_3 ELSE Some(0),22,2 END) as sum(coalesce(wr.wr_return_amt,Int64(0))), sum(CASE WHEN __common_expr_4 IS NOT NULL THEN __common_expr_4 ELSE Some(0),22,2 END) as sum(coalesce(ws.ws_net_paid,Int64(0)))]
              │     ProjectionExec: expr=[CAST(wr_return_quantity@0 AS Int64) as __common_expr_1, CAST(ws_quantity@1 AS Int64) as __common_expr_2, CAST(wr_return_amt@2 AS Decimal128(22, 2)) as __common_expr_3, CAST(ws_net_paid@3 AS Decimal128(22, 2)) as __common_expr_4, ws_item_sk@4 as ws_item_sk]
              │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ws_sold_date_sk@0)], projection=[wr_return_quantity@5, ws_quantity@3, wr_return_amt@6, ws_net_paid@4, ws_item_sk@2]
              │         CoalescePartitionsExec
              │           [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
              │         FilterExec: wr_return_amt@5 > Some(1000000),7,2
              │           HashJoinExec: mode=Partitioned, join_type=Right, on=[(wr_order_number@1, ws_order_number@2), (wr_item_sk@0, ws_item_sk@1)], projection=[ws_sold_date_sk@4, ws_item_sk@5, ws_quantity@7, ws_net_paid@8, wr_return_quantity@2, wr_return_amt@3]
              │             [Stage 2] => NetworkShuffleExec: output_partitions=3, input_tasks=4
              │             [Stage 3] => NetworkShuffleExec: output_partitions=3, input_tasks=4
              └──────────────────────────────────────────────────
                ┌───── Stage 1 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                │   FilterExec: d_year@1 = 2001 AND d_moy@2 = 12, projection=[d_date_sk@0]
                │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001 AND d_moy@8 = 12, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 12 AND 12 <= d_moy_max@5, required_guarantees=[d_moy in (12), d_year in (2001)]
                │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001 AND d_moy@8 = 12, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 12 AND 12 <= d_moy_max@5, required_guarantees=[d_moy in (12), d_year in (2001)]
                │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001 AND d_moy@8 = 12, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 12 AND 12 <= d_moy_max@5, required_guarantees=[d_moy in (12), d_year in (2001)]
                │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001 AND d_moy@8 = 12, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 12 AND 12 <= d_moy_max@5, required_guarantees=[d_moy in (12), d_year in (2001)]
                └──────────────────────────────────────────────────
                ┌───── Stage 2 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
                │ RepartitionExec: partitioning=Hash([wr_order_number@1, wr_item_sk@0], 12), input_partitions=2
                │   DistributedLeafExec:
                │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_returns/part-2.parquet:<int>..<int>]]}, projection=[wr_item_sk, wr_order_number, wr_return_quantity, wr_return_amt], file_type=parquet
                │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_returns/part-2.parquet:<int>..<int>]]}, projection=[wr_item_sk, wr_order_number, wr_return_quantity, wr_return_amt], file_type=parquet
                │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_returns/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_returns/part-3.parquet:<int>..<int>]]}, projection=[wr_item_sk, wr_order_number, wr_return_quantity, wr_return_amt], file_type=parquet
                │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_returns/part-3.parquet:<int>..<int>]]}, projection=[wr_item_sk, wr_order_number, wr_return_quantity, wr_return_amt], file_type=parquet
                └──────────────────────────────────────────────────
                ┌───── Stage 3 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
                │ RepartitionExec: partitioning=Hash([ws_order_number@2, ws_item_sk@1], 12), input_partitions=3
                │   FilterExec: ws_net_profit@5 > Some(100),7,2 AND ws_net_paid@4 > Some(0),7,2 AND ws_quantity@3 > 0, projection=[ws_sold_date_sk@0, ws_item_sk@1, ws_order_number@2, ws_quantity@3, ws_net_paid@4]
                │     DistributedLeafExec:
                │       t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_order_number, ws_quantity, ws_net_paid, ws_net_profit], file_type=parquet, predicate=ws_net_profit@33 > Some(100),7,2 AND ws_net_paid@29 > Some(0),7,2 AND ws_quantity@18 > 0 AND DynamicFilter [ empty ], pruning_predicate=ws_net_profit_null_count@1 != row_count@2 AND ws_net_profit_max@0 > Some(100),7,2 AND ws_net_paid_null_count@4 != row_count@2 AND ws_net_paid_max@3 > Some(0),7,2 AND ws_quantity_null_count@6 != row_count@2 AND ws_quantity_max@5 > 0, required_guarantees=[]
                │       t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_order_number, ws_quantity, ws_net_paid, ws_net_profit], file_type=parquet, predicate=ws_net_profit@33 > Some(100),7,2 AND ws_net_paid@29 > Some(0),7,2 AND ws_quantity@18 > 0 AND DynamicFilter [ empty ], pruning_predicate=ws_net_profit_null_count@1 != row_count@2 AND ws_net_profit_max@0 > Some(100),7,2 AND ws_net_paid_null_count@4 != row_count@2 AND ws_net_paid_max@3 > Some(0),7,2 AND ws_quantity_null_count@6 != row_count@2 AND ws_quantity_max@5 > 0, required_guarantees=[]
                │       t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_order_number, ws_quantity, ws_net_paid, ws_net_profit], file_type=parquet, predicate=ws_net_profit@33 > Some(100),7,2 AND ws_net_paid@29 > Some(0),7,2 AND ws_quantity@18 > 0 AND DynamicFilter [ empty ], pruning_predicate=ws_net_profit_null_count@1 != row_count@2 AND ws_net_profit_max@0 > Some(100),7,2 AND ws_net_paid_null_count@4 != row_count@2 AND ws_net_paid_max@3 > Some(0),7,2 AND ws_quantity_null_count@6 != row_count@2 AND ws_quantity_max@5 > 0, required_guarantees=[]
                │       t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_order_number, ws_quantity, ws_net_paid, ws_net_profit], file_type=parquet, predicate=ws_net_profit@33 > Some(100),7,2 AND ws_net_paid@29 > Some(0),7,2 AND ws_quantity@18 > 0 AND DynamicFilter [ empty ], pruning_predicate=ws_net_profit_null_count@1 != row_count@2 AND ws_net_profit_max@0 > Some(100),7,2 AND ws_net_paid_null_count@4 != row_count@2 AND ws_net_paid_max@3 > Some(0),7,2 AND ws_quantity_null_count@6 != row_count@2 AND ws_quantity_max@5 > 0, required_guarantees=[]
                └──────────────────────────────────────────────────
            ┌───── Stage 10 ── Tasks: t0:[p0..p2] t1:[p0..p2]
            │ SortExec: expr=[return_ratio@1 ASC NULLS LAST], preserve_partitioning=[true]
            │   ProjectionExec: expr=[cs_item_sk@0 as item, CAST(sum(coalesce(cr.cr_return_quantity,Int64(0)))@1 AS Decimal128(15, 4)) / CAST(sum(coalesce(cs.cs_quantity,Int64(0)))@2 AS Decimal128(15, 4)) as return_ratio, CAST(sum(coalesce(cr.cr_return_amount,Int64(0)))@3 AS Decimal128(15, 4)) / CAST(sum(coalesce(cs.cs_net_paid,Int64(0)))@4 AS Decimal128(15, 4)) as currency_ratio]
            │     AggregateExec: mode=FinalPartitioned, gby=[cs_item_sk@0 as cs_item_sk], aggr=[sum(CASE WHEN __common_expr_5 IS NOT NULL THEN __common_expr_5 ELSE 0 END) as sum(coalesce(cr.cr_return_quantity,Int64(0))), sum(CASE WHEN __common_expr_6 IS NOT NULL THEN __common_expr_6 ELSE 0 END) as sum(coalesce(cs.cs_quantity,Int64(0))), sum(CASE WHEN __common_expr_7 IS NOT NULL THEN __common_expr_7 ELSE Some(0),22,2 END) as sum(coalesce(cr.cr_return_amount,Int64(0))), sum(CASE WHEN __common_expr_8 IS NOT NULL THEN __common_expr_8 ELSE Some(0),22,2 END) as sum(coalesce(cs.cs_net_paid,Int64(0)))]
            │       [Stage 9] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            └──────────────────────────────────────────────────
              ┌───── Stage 9 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
              │ RepartitionExec: partitioning=Hash([cs_item_sk@0], 6), input_partitions=3
              │   AggregateExec: mode=Partial, gby=[cs_item_sk@4 as cs_item_sk], aggr=[sum(CASE WHEN __common_expr_5 IS NOT NULL THEN __common_expr_5 ELSE 0 END) as sum(coalesce(cr.cr_return_quantity,Int64(0))), sum(CASE WHEN __common_expr_6 IS NOT NULL THEN __common_expr_6 ELSE 0 END) as sum(coalesce(cs.cs_quantity,Int64(0))), sum(CASE WHEN __common_expr_7 IS NOT NULL THEN __common_expr_7 ELSE Some(0),22,2 END) as sum(coalesce(cr.cr_return_amount,Int64(0))), sum(CASE WHEN __common_expr_8 IS NOT NULL THEN __common_expr_8 ELSE Some(0),22,2 END) as sum(coalesce(cs.cs_net_paid,Int64(0)))]
              │     ProjectionExec: expr=[CAST(cr_return_quantity@0 AS Int64) as __common_expr_5, CAST(cs_quantity@1 AS Int64) as __common_expr_6, CAST(cr_return_amount@2 AS Decimal128(22, 2)) as __common_expr_7, CAST(cs_net_paid@3 AS Decimal128(22, 2)) as __common_expr_8, cs_item_sk@4 as cs_item_sk]
              │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, cs_sold_date_sk@0)], projection=[cr_return_quantity@5, cs_quantity@3, cr_return_amount@6, cs_net_paid@4, cs_item_sk@2]
              │         CoalescePartitionsExec
              │           [Stage 6] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
              │         FilterExec: cr_return_amount@5 > Some(1000000),7,2
              │           HashJoinExec: mode=Partitioned, join_type=Right, on=[(cr_order_number@1, cs_order_number@2), (cr_item_sk@0, cs_item_sk@1)], projection=[cs_sold_date_sk@4, cs_item_sk@5, cs_quantity@7, cs_net_paid@8, cr_return_quantity@2, cr_return_amount@3]
              │             [Stage 7] => NetworkShuffleExec: output_partitions=3, input_tasks=4
              │             [Stage 8] => NetworkShuffleExec: output_partitions=3, input_tasks=4
              └──────────────────────────────────────────────────
                ┌───── Stage 6 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                │   FilterExec: d_year@1 = 2001 AND d_moy@2 = 12, projection=[d_date_sk@0]
                │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001 AND d_moy@8 = 12, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 12 AND 12 <= d_moy_max@5, required_guarantees=[d_moy in (12), d_year in (2001)]
                │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001 AND d_moy@8 = 12, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 12 AND 12 <= d_moy_max@5, required_guarantees=[d_moy in (12), d_year in (2001)]
                │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001 AND d_moy@8 = 12, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 12 AND 12 <= d_moy_max@5, required_guarantees=[d_moy in (12), d_year in (2001)]
                │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001 AND d_moy@8 = 12, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 12 AND 12 <= d_moy_max@5, required_guarantees=[d_moy in (12), d_year in (2001)]
                └──────────────────────────────────────────────────
                ┌───── Stage 7 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
                │ RepartitionExec: partitioning=Hash([cr_order_number@1, cr_item_sk@0], 12), input_partitions=3
                │   DistributedLeafExec:
                │     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>]]}, projection=[cr_item_sk, cr_order_number, cr_return_quantity, cr_return_amount], file_type=parquet
                │     t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-3.parquet:<int>..<int>]]}, projection=[cr_item_sk, cr_order_number, cr_return_quantity, cr_return_amount], file_type=parquet
                │     t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-3.parquet:<int>..<int>]]}, projection=[cr_item_sk, cr_order_number, cr_return_quantity, cr_return_amount], file_type=parquet
                │     t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-3.parquet:<int>..<int>]]}, projection=[cr_item_sk, cr_order_number, cr_return_quantity, cr_return_amount], file_type=parquet
                └──────────────────────────────────────────────────
                ┌───── Stage 8 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
                │ RepartitionExec: partitioning=Hash([cs_order_number@2, cs_item_sk@1], 12), input_partitions=3
                │   FilterExec: cs_net_profit@5 > Some(100),7,2 AND cs_net_paid@4 > Some(0),7,2 AND cs_quantity@3 > 0, projection=[cs_sold_date_sk@0, cs_item_sk@1, cs_order_number@2, cs_quantity@3, cs_net_paid@4]
                │     DistributedLeafExec:
                │       t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_item_sk, cs_order_number, cs_quantity, cs_net_paid, cs_net_profit], file_type=parquet, predicate=cs_net_profit@33 > Some(100),7,2 AND cs_net_paid@29 > Some(0),7,2 AND cs_quantity@18 > 0 AND DynamicFilter [ empty ], pruning_predicate=cs_net_profit_null_count@1 != row_count@2 AND cs_net_profit_max@0 > Some(100),7,2 AND cs_net_paid_null_count@4 != row_count@2 AND cs_net_paid_max@3 > Some(0),7,2 AND cs_quantity_null_count@6 != row_count@2 AND cs_quantity_max@5 > 0, required_guarantees=[]
                │       t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_item_sk, cs_order_number, cs_quantity, cs_net_paid, cs_net_profit], file_type=parquet, predicate=cs_net_profit@33 > Some(100),7,2 AND cs_net_paid@29 > Some(0),7,2 AND cs_quantity@18 > 0 AND DynamicFilter [ empty ], pruning_predicate=cs_net_profit_null_count@1 != row_count@2 AND cs_net_profit_max@0 > Some(100),7,2 AND cs_net_paid_null_count@4 != row_count@2 AND cs_net_paid_max@3 > Some(0),7,2 AND cs_quantity_null_count@6 != row_count@2 AND cs_quantity_max@5 > 0, required_guarantees=[]
                │       t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_item_sk, cs_order_number, cs_quantity, cs_net_paid, cs_net_profit], file_type=parquet, predicate=cs_net_profit@33 > Some(100),7,2 AND cs_net_paid@29 > Some(0),7,2 AND cs_quantity@18 > 0 AND DynamicFilter [ empty ], pruning_predicate=cs_net_profit_null_count@1 != row_count@2 AND cs_net_profit_max@0 > Some(100),7,2 AND cs_net_paid_null_count@4 != row_count@2 AND cs_net_paid_max@3 > Some(0),7,2 AND cs_quantity_null_count@6 != row_count@2 AND cs_quantity_max@5 > 0, required_guarantees=[]
                │       t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_item_sk, cs_order_number, cs_quantity, cs_net_paid, cs_net_profit], file_type=parquet, predicate=cs_net_profit@33 > Some(100),7,2 AND cs_net_paid@29 > Some(0),7,2 AND cs_quantity@18 > 0 AND DynamicFilter [ empty ], pruning_predicate=cs_net_profit_null_count@1 != row_count@2 AND cs_net_profit_max@0 > Some(100),7,2 AND cs_net_paid_null_count@4 != row_count@2 AND cs_net_paid_max@3 > Some(0),7,2 AND cs_quantity_null_count@6 != row_count@2 AND cs_quantity_max@5 > 0, required_guarantees=[]
                └──────────────────────────────────────────────────
            ┌───── Stage 15 ── Tasks: t0:[p0..p2] t1:[p0..p2]
            │ SortExec: expr=[return_ratio@1 ASC NULLS LAST], preserve_partitioning=[true]
            │   ProjectionExec: expr=[ss_item_sk@0 as item, CAST(sum(coalesce(sr.sr_return_quantity,Int64(0)))@1 AS Decimal128(15, 4)) / CAST(sum(coalesce(sts.ss_quantity,Int64(0)))@2 AS Decimal128(15, 4)) as return_ratio, CAST(sum(coalesce(sr.sr_return_amt,Int64(0)))@3 AS Decimal128(15, 4)) / CAST(sum(coalesce(sts.ss_net_paid,Int64(0)))@4 AS Decimal128(15, 4)) as currency_ratio]
            │     AggregateExec: mode=FinalPartitioned, gby=[ss_item_sk@0 as ss_item_sk], aggr=[sum(CASE WHEN __common_expr_9 IS NOT NULL THEN __common_expr_9 ELSE 0 END) as sum(coalesce(sr.sr_return_quantity,Int64(0))), sum(CASE WHEN __common_expr_10 IS NOT NULL THEN __common_expr_10 ELSE 0 END) as sum(coalesce(sts.ss_quantity,Int64(0))), sum(CASE WHEN __common_expr_11 IS NOT NULL THEN __common_expr_11 ELSE Some(0),22,2 END) as sum(coalesce(sr.sr_return_amt,Int64(0))), sum(CASE WHEN __common_expr_12 IS NOT NULL THEN __common_expr_12 ELSE Some(0),22,2 END) as sum(coalesce(sts.ss_net_paid,Int64(0)))]
            │       [Stage 14] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            └──────────────────────────────────────────────────
              ┌───── Stage 14 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
              │ RepartitionExec: partitioning=Hash([ss_item_sk@0], 6), input_partitions=3
              │   AggregateExec: mode=Partial, gby=[ss_item_sk@4 as ss_item_sk], aggr=[sum(CASE WHEN __common_expr_9 IS NOT NULL THEN __common_expr_9 ELSE 0 END) as sum(coalesce(sr.sr_return_quantity,Int64(0))), sum(CASE WHEN __common_expr_10 IS NOT NULL THEN __common_expr_10 ELSE 0 END) as sum(coalesce(sts.ss_quantity,Int64(0))), sum(CASE WHEN __common_expr_11 IS NOT NULL THEN __common_expr_11 ELSE Some(0),22,2 END) as sum(coalesce(sr.sr_return_amt,Int64(0))), sum(CASE WHEN __common_expr_12 IS NOT NULL THEN __common_expr_12 ELSE Some(0),22,2 END) as sum(coalesce(sts.ss_net_paid,Int64(0)))]
              │     ProjectionExec: expr=[CAST(sr_return_quantity@0 AS Int64) as __common_expr_9, CAST(ss_quantity@1 AS Int64) as __common_expr_10, CAST(sr_return_amt@2 AS Decimal128(22, 2)) as __common_expr_11, CAST(ss_net_paid@3 AS Decimal128(22, 2)) as __common_expr_12, ss_item_sk@4 as ss_item_sk]
              │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[sr_return_quantity@5, ss_quantity@3, sr_return_amt@6, ss_net_paid@4, ss_item_sk@2]
              │         CoalescePartitionsExec
              │           [Stage 11] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
              │         FilterExec: sr_return_amt@5 > Some(1000000),7,2
              │           HashJoinExec: mode=Partitioned, join_type=Right, on=[(sr_ticket_number@1, ss_ticket_number@2), (sr_item_sk@0, ss_item_sk@1)], projection=[ss_sold_date_sk@4, ss_item_sk@5, ss_quantity@7, ss_net_paid@8, sr_return_quantity@2, sr_return_amt@3]
              │             [Stage 12] => NetworkShuffleExec: output_partitions=3, input_tasks=4
              │             [Stage 13] => NetworkShuffleExec: output_partitions=3, input_tasks=4
              └──────────────────────────────────────────────────
                ┌───── Stage 11 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                │   FilterExec: d_year@1 = 2001 AND d_moy@2 = 12, projection=[d_date_sk@0]
                │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001 AND d_moy@8 = 12, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 12 AND 12 <= d_moy_max@5, required_guarantees=[d_moy in (12), d_year in (2001)]
                │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001 AND d_moy@8 = 12, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 12 AND 12 <= d_moy_max@5, required_guarantees=[d_moy in (12), d_year in (2001)]
                │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001 AND d_moy@8 = 12, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 12 AND 12 <= d_moy_max@5, required_guarantees=[d_moy in (12), d_year in (2001)]
                │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001 AND d_moy@8 = 12, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 12 AND 12 <= d_moy_max@5, required_guarantees=[d_moy in (12), d_year in (2001)]
                └──────────────────────────────────────────────────
                ┌───── Stage 12 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
                │ RepartitionExec: partitioning=Hash([sr_ticket_number@1, sr_item_sk@0], 12), input_partitions=3
                │   DistributedLeafExec:
                │     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>]]}, projection=[sr_item_sk, sr_ticket_number, sr_return_quantity, sr_return_amt], file_type=parquet
                │     t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-3.parquet:<int>..<int>]]}, projection=[sr_item_sk, sr_ticket_number, sr_return_quantity, sr_return_amt], file_type=parquet
                │     t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-3.parquet:<int>..<int>]]}, projection=[sr_item_sk, sr_ticket_number, sr_return_quantity, sr_return_amt], file_type=parquet
                │     t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-3.parquet:<int>..<int>]]}, projection=[sr_item_sk, sr_ticket_number, sr_return_quantity, sr_return_amt], file_type=parquet
                └──────────────────────────────────────────────────
                ┌───── Stage 13 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
                │ RepartitionExec: partitioning=Hash([ss_ticket_number@2, ss_item_sk@1], 12), input_partitions=3
                │   FilterExec: ss_net_profit@5 > Some(100),7,2 AND ss_net_paid@4 > Some(0),7,2 AND ss_quantity@3 > 0, projection=[ss_sold_date_sk@0, ss_item_sk@1, ss_ticket_number@2, ss_quantity@3, ss_net_paid@4]
                │     DistributedLeafExec:
                │       t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_ticket_number, ss_quantity, ss_net_paid, ss_net_profit], file_type=parquet, predicate=ss_net_profit@22 > Some(100),7,2 AND ss_net_paid@20 > Some(0),7,2 AND ss_quantity@10 > 0 AND DynamicFilter [ empty ], pruning_predicate=ss_net_profit_null_count@1 != row_count@2 AND ss_net_profit_max@0 > Some(100),7,2 AND ss_net_paid_null_count@4 != row_count@2 AND ss_net_paid_max@3 > Some(0),7,2 AND ss_quantity_null_count@6 != row_count@2 AND ss_quantity_max@5 > 0, required_guarantees=[]
                │       t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_ticket_number, ss_quantity, ss_net_paid, ss_net_profit], file_type=parquet, predicate=ss_net_profit@22 > Some(100),7,2 AND ss_net_paid@20 > Some(0),7,2 AND ss_quantity@10 > 0 AND DynamicFilter [ empty ], pruning_predicate=ss_net_profit_null_count@1 != row_count@2 AND ss_net_profit_max@0 > Some(100),7,2 AND ss_net_paid_null_count@4 != row_count@2 AND ss_net_paid_max@3 > Some(0),7,2 AND ss_quantity_null_count@6 != row_count@2 AND ss_quantity_max@5 > 0, required_guarantees=[]
                │       t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_ticket_number, ss_quantity, ss_net_paid, ss_net_profit], file_type=parquet, predicate=ss_net_profit@22 > Some(100),7,2 AND ss_net_paid@20 > Some(0),7,2 AND ss_quantity@10 > 0 AND DynamicFilter [ empty ], pruning_predicate=ss_net_profit_null_count@1 != row_count@2 AND ss_net_profit_max@0 > Some(100),7,2 AND ss_net_paid_null_count@4 != row_count@2 AND ss_net_paid_max@3 > Some(0),7,2 AND ss_quantity_null_count@6 != row_count@2 AND ss_quantity_max@5 > 0, required_guarantees=[]
                │       t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_ticket_number, ss_quantity, ss_net_paid, ss_net_profit], file_type=parquet, predicate=ss_net_profit@22 > Some(100),7,2 AND ss_net_paid@20 > Some(0),7,2 AND ss_quantity@10 > 0 AND DynamicFilter [ empty ], pruning_predicate=ss_net_profit_null_count@1 != row_count@2 AND ss_net_profit_max@0 > Some(100),7,2 AND ss_net_paid_null_count@4 != row_count@2 AND ss_net_paid_max@3 > Some(0),7,2 AND ss_quantity_null_count@6 != row_count@2 AND ss_quantity_max@5 > 0, required_guarantees=[]
                └──────────────────────────────────────────────────
        "#);
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_50() -> Result<()> {
        let display = test_tpcds_query("q50").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [s_store_name@0 ASC NULLS LAST, s_company_id@1 ASC NULLS LAST, s_street_number@2 ASC NULLS LAST, s_street_name@3 ASC NULLS LAST, s_street_type@4 ASC NULLS LAST, s_suite_number@5 ASC NULLS LAST, s_city@6 ASC NULLS LAST, s_county@7 ASC NULLS LAST, s_state@8 ASC NULLS LAST, s_zip@9 ASC NULLS LAST], fetch=100
        │   [Stage 7] => NetworkCoalesceExec: output_partitions=6, input_tasks=2
        └──────────────────────────────────────────────────
          ┌───── Stage 7 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ SortExec: TopK(fetch=100), expr=[s_store_name@0 ASC NULLS LAST, s_company_id@1 ASC NULLS LAST, s_street_number@2 ASC NULLS LAST, s_street_name@3 ASC NULLS LAST, s_street_type@4 ASC NULLS LAST, s_suite_number@5 ASC NULLS LAST, s_city@6 ASC NULLS LAST, s_county@7 ASC NULLS LAST, s_state@8 ASC NULLS LAST, s_zip@9 ASC NULLS LAST], preserve_partitioning=[true]
          │   ProjectionExec: expr=[s_store_name@0 as s_store_name, s_company_id@1 as s_company_id, s_street_number@2 as s_street_number, s_street_name@3 as s_street_name, s_street_type@4 as s_street_type, s_suite_number@5 as s_suite_number, s_city@6 as s_city, s_county@7 as s_county, s_state@8 as s_state, s_zip@9 as s_zip, sum(CASE WHEN store_returns.sr_returned_date_sk - store_sales.ss_sold_date_sk <= Int64(30) THEN Int64(1) ELSE Int64(0) END)@10 as 30 days, sum(CASE WHEN store_returns.sr_returned_date_sk - store_sales.ss_sold_date_sk > Int64(30) AND store_returns.sr_returned_date_sk - store_sales.ss_sold_date_sk <= Int64(60) THEN Int64(1) ELSE Int64(0) END)@11 as 31-60 days, sum(CASE WHEN store_returns.sr_returned_date_sk - store_sales.ss_sold_date_sk > Int64(60) AND store_returns.sr_returned_date_sk - store_sales.ss_sold_date_sk <= Int64(90) THEN Int64(1) ELSE Int64(0) END)@12 as 61-90 days, sum(CASE WHEN store_returns.sr_returned_date_sk - store_sales.ss_sold_date_sk > Int64(90) AND store_returns.sr_returned_date_sk - store_sales.ss_sold_date_sk <= Int64(120) THEN Int64(1) ELSE Int64(0) END)@13 as 91-120 days, sum(CASE WHEN store_returns.sr_returned_date_sk - store_sales.ss_sold_date_sk > Int64(120) THEN Int64(1) ELSE Int64(0) END)@14 as >120 days]
          │     AggregateExec: mode=FinalPartitioned, gby=[s_store_name@0 as s_store_name, s_company_id@1 as s_company_id, s_street_number@2 as s_street_number, s_street_name@3 as s_street_name, s_street_type@4 as s_street_type, s_suite_number@5 as s_suite_number, s_city@6 as s_city, s_county@7 as s_county, s_state@8 as s_state, s_zip@9 as s_zip], aggr=[sum(CASE WHEN __common_expr_1 <= 30 THEN 1 ELSE 0 END) as sum(CASE WHEN store_returns.sr_returned_date_sk - store_sales.ss_sold_date_sk <= Int64(30) THEN Int64(1) ELSE Int64(0) END), sum(CASE WHEN __common_expr_1 > 30 AND __common_expr_1 <= 60 THEN 1 ELSE 0 END) as sum(CASE WHEN store_returns.sr_returned_date_sk - store_sales.ss_sold_date_sk > Int64(30) AND store_returns.sr_returned_date_sk - store_sales.ss_sold_date_sk <= Int64(60) THEN Int64(1) ELSE Int64(0) END), sum(CASE WHEN __common_expr_1 > 60 AND __common_expr_1 <= 90 THEN 1 ELSE 0 END) as sum(CASE WHEN store_returns.sr_returned_date_sk - store_sales.ss_sold_date_sk > Int64(60) AND store_returns.sr_returned_date_sk - store_sales.ss_sold_date_sk <= Int64(90) THEN Int64(1) ELSE Int64(0) END), sum(CASE WHEN __common_expr_1 > 90 AND __common_expr_1 <= 120 THEN 1 ELSE 0 END) as sum(CASE WHEN store_returns.sr_returned_date_sk - store_sales.ss_sold_date_sk > Int64(90) AND store_returns.sr_returned_date_sk - store_sales.ss_sold_date_sk <= Int64(120) THEN Int64(1) ELSE Int64(0) END), sum(CASE WHEN __common_expr_1 > 120 THEN 1 ELSE 0 END) as sum(CASE WHEN store_returns.sr_returned_date_sk - store_sales.ss_sold_date_sk > Int64(120) THEN Int64(1) ELSE Int64(0) END)]
          │       [Stage 6] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 6 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([s_store_name@0, s_company_id@1, s_street_number@2, s_street_name@3, s_street_type@4, s_suite_number@5, s_city@6, s_county@7, s_state@8, s_zip@9], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[s_store_name@1 as s_store_name, s_company_id@2 as s_company_id, s_street_number@3 as s_street_number, s_street_name@4 as s_street_name, s_street_type@5 as s_street_type, s_suite_number@6 as s_suite_number, s_city@7 as s_city, s_county@8 as s_county, s_state@9 as s_state, s_zip@10 as s_zip], aggr=[sum(CASE WHEN __common_expr_1 <= 30 THEN 1 ELSE 0 END) as sum(CASE WHEN store_returns.sr_returned_date_sk - store_sales.ss_sold_date_sk <= Int64(30) THEN Int64(1) ELSE Int64(0) END), sum(CASE WHEN __common_expr_1 > 30 AND __common_expr_1 <= 60 THEN 1 ELSE 0 END) as sum(CASE WHEN store_returns.sr_returned_date_sk - store_sales.ss_sold_date_sk > Int64(30) AND store_returns.sr_returned_date_sk - store_sales.ss_sold_date_sk <= Int64(60) THEN Int64(1) ELSE Int64(0) END), sum(CASE WHEN __common_expr_1 > 60 AND __common_expr_1 <= 90 THEN 1 ELSE 0 END) as sum(CASE WHEN store_returns.sr_returned_date_sk - store_sales.ss_sold_date_sk > Int64(60) AND store_returns.sr_returned_date_sk - store_sales.ss_sold_date_sk <= Int64(90) THEN Int64(1) ELSE Int64(0) END), sum(CASE WHEN __common_expr_1 > 90 AND __common_expr_1 <= 120 THEN 1 ELSE 0 END) as sum(CASE WHEN store_returns.sr_returned_date_sk - store_sales.ss_sold_date_sk > Int64(90) AND store_returns.sr_returned_date_sk - store_sales.ss_sold_date_sk <= Int64(120) THEN Int64(1) ELSE Int64(0) END), sum(CASE WHEN __common_expr_1 > 120 THEN 1 ELSE 0 END) as sum(CASE WHEN store_returns.sr_returned_date_sk - store_sales.ss_sold_date_sk > Int64(120) THEN Int64(1) ELSE Int64(0) END)]
            │     ProjectionExec: expr=[sr_returned_date_sk@0 - ss_sold_date_sk@1 as __common_expr_1, s_store_name@2 as s_store_name, s_company_id@3 as s_company_id, s_street_number@4 as s_street_number, s_street_name@5 as s_street_name, s_street_type@6 as s_street_type, s_suite_number@7 as s_suite_number, s_city@8 as s_city, s_county@9 as s_county, s_state@10 as s_state, s_zip@11 as s_zip]
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, sr_returned_date_sk@1)], projection=[sr_returned_date_sk@2, ss_sold_date_sk@1, s_store_name@3, s_company_id@4, s_street_number@5, s_street_name@6, s_street_type@7, s_suite_number@8, s_city@9, s_county@10, s_state@11, s_zip@12]
            │         CoalescePartitionsExec
            │           [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[ss_sold_date_sk@1, sr_returned_date_sk@2, s_store_name@3, s_company_id@4, s_street_number@5, s_street_name@6, s_street_type@7, s_suite_number@8, s_city@9, s_county@10, s_state@11, s_zip@12]
            │           CoalescePartitionsExec
            │             [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │           HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(s_store_sk@0, ss_store_sk@1)], projection=[ss_sold_date_sk@11, sr_returned_date_sk@13, s_store_name@1, s_company_id@2, s_street_number@3, s_street_name@4, s_street_type@5, s_suite_number@6, s_city@7, s_county@8, s_state@9, s_zip@10]
            │             CoalescePartitionsExec
            │               [Stage 3] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │             HashJoinExec: mode=Partitioned, join_type=Inner, on=[(sr_ticket_number@3, ss_ticket_number@4), (sr_item_sk@1, ss_item_sk@1), (sr_customer_sk@2, ss_customer_sk@2)], projection=[ss_sold_date_sk@4, ss_store_sk@7, sr_returned_date_sk@0]
            │               [Stage 4] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            │               [Stage 5] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            └──────────────────────────────────────────────────
              ┌───── Stage 1 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_year@1 = 2001 AND d_moy@2 = 8, projection=[d_date_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001 AND d_moy@8 = 8, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 8 AND 8 <= d_moy_max@5, required_guarantees=[d_moy in (8), d_year in (2001)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001 AND d_moy@8 = 8, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 8 AND 8 <= d_moy_max@5, required_guarantees=[d_moy in (8), d_year in (2001)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001 AND d_moy@8 = 8, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 8 AND 8 <= d_moy_max@5, required_guarantees=[d_moy in (8), d_year in (2001)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001 AND d_moy@8 = 8, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 8 AND 8 <= d_moy_max@5, required_guarantees=[d_moy in (8), d_year in (2001)]
              └──────────────────────────────────────────────────
              ┌───── Stage 2 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 3 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name, s_company_id, s_street_number, s_street_name, s_street_type, s_suite_number, s_city, s_county, s_state, s_zip], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name, s_company_id, s_street_number, s_street_name, s_street_type, s_suite_number, s_city, s_county, s_state, s_zip], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name, s_company_id, s_street_number, s_street_name, s_street_type, s_suite_number, s_city, s_county, s_state, s_zip], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name, s_company_id, s_street_number, s_street_name, s_street_type, s_suite_number, s_city, s_county, s_state, s_zip], file_type=parquet, predicate=DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
              ┌───── Stage 4 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
              │ RepartitionExec: partitioning=Hash([sr_ticket_number@3, sr_item_sk@1, sr_customer_sk@2], 12), input_partitions=3
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>]]}, projection=[sr_returned_date_sk, sr_item_sk, sr_customer_sk, sr_ticket_number], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-3.parquet:<int>..<int>]]}, projection=[sr_returned_date_sk, sr_item_sk, sr_customer_sk, sr_ticket_number], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-3.parquet:<int>..<int>]]}, projection=[sr_returned_date_sk, sr_item_sk, sr_customer_sk, sr_ticket_number], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-3.parquet:<int>..<int>]]}, projection=[sr_returned_date_sk, sr_item_sk, sr_customer_sk, sr_ticket_number], file_type=parquet, predicate=DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
              ┌───── Stage 5 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
              │ RepartitionExec: partitioning=Hash([ss_ticket_number@4, ss_item_sk@1, ss_customer_sk@2], 12), input_partitions=3
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_customer_sk, ss_store_sk, ss_ticket_number], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │     t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_customer_sk, ss_store_sk, ss_ticket_number], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │     t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_customer_sk, ss_store_sk, ss_ticket_number], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │     t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_customer_sk, ss_store_sk, ss_ticket_number], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_51() -> Result<()> {
        let display = test_tpcds_query("q51").await?;
        assert_snapshot!(display, @r#"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [item_sk@0 ASC, d_date@1 ASC], fetch=100
        │   SortExec: TopK(fetch=100), expr=[item_sk@0 ASC, d_date@1 ASC], preserve_partitioning=[true]
        │     ProjectionExec: expr=[item_sk@0 as item_sk, d_date@1 as d_date, web_sales@2 as web_sales, store_sales@3 as store_sales, max(x.web_sales) PARTITION BY [x.item_sk] ORDER BY [x.d_date ASC NULLS LAST] ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@4 as web_cumulative, max(x.store_sales) PARTITION BY [x.item_sk] ORDER BY [x.d_date ASC NULLS LAST] ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@5 as store_cumulative]
        │       FilterExec: max(x.web_sales) PARTITION BY [x.item_sk] ORDER BY [x.d_date ASC NULLS LAST] ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@4 > max(x.store_sales) PARTITION BY [x.item_sk] ORDER BY [x.d_date ASC NULLS LAST] ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@5
        │         BoundedWindowAggExec: wdw=[max(x.web_sales) PARTITION BY [x.item_sk] ORDER BY [x.d_date ASC NULLS LAST] ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Field { "max(x.web_sales) PARTITION BY [x.item_sk] ORDER BY [x.d_date ASC NULLS LAST] ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW": nullable Decimal128(27, 2) }, frame: ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW, max(x.store_sales) PARTITION BY [x.item_sk] ORDER BY [x.d_date ASC NULLS LAST] ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Field { "max(x.store_sales) PARTITION BY [x.item_sk] ORDER BY [x.d_date ASC NULLS LAST] ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW": nullable Decimal128(27, 2) }, frame: ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW], mode=[Sorted]
        │           SortExec: expr=[item_sk@0 ASC NULLS LAST, d_date@1 ASC NULLS LAST], preserve_partitioning=[true]
        │             RepartitionExec: partitioning=Hash([item_sk@0], 3), input_partitions=3
        │               ProjectionExec: expr=[CASE WHEN item_sk@0 IS NOT NULL THEN item_sk@0 ELSE item_sk@3 END as item_sk, CASE WHEN d_date@1 IS NOT NULL THEN d_date@1 ELSE d_date@4 END as d_date, cume_sales@2 as web_sales, cume_sales@5 as store_sales]
        │                 HashJoinExec: mode=CollectLeft, join_type=Full, on=[(item_sk@0, item_sk@0), (d_date@1, d_date@1)]
        │                   CoalescePartitionsExec
        │                     ProjectionExec: expr=[ws_item_sk@0 as item_sk, d_date@1 as d_date, sum(sum(web_sales.ws_sales_price)) PARTITION BY [web_sales.ws_item_sk] ORDER BY [date_dim.d_date ASC NULLS LAST] ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@3 as cume_sales]
        │                       BoundedWindowAggExec: wdw=[sum(sum(web_sales.ws_sales_price)) PARTITION BY [web_sales.ws_item_sk] ORDER BY [date_dim.d_date ASC NULLS LAST] ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Field { "sum(sum(web_sales.ws_sales_price)) PARTITION BY [web_sales.ws_item_sk] ORDER BY [date_dim.d_date ASC NULLS LAST] ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW": nullable Decimal128(27, 2) }, frame: ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW], mode=[Sorted]
        │                         SortExec: expr=[ws_item_sk@0 ASC NULLS LAST, d_date@1 ASC NULLS LAST], preserve_partitioning=[true]
        │                           [Stage 3] => NetworkShuffleExec: output_partitions=3, input_tasks=2
        │                   ProjectionExec: expr=[ss_item_sk@0 as item_sk, d_date@1 as d_date, sum(sum(store_sales.ss_sales_price)) PARTITION BY [store_sales.ss_item_sk] ORDER BY [date_dim.d_date ASC NULLS LAST] ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@3 as cume_sales]
        │                     BoundedWindowAggExec: wdw=[sum(sum(store_sales.ss_sales_price)) PARTITION BY [store_sales.ss_item_sk] ORDER BY [date_dim.d_date ASC NULLS LAST] ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Field { "sum(sum(store_sales.ss_sales_price)) PARTITION BY [store_sales.ss_item_sk] ORDER BY [date_dim.d_date ASC NULLS LAST] ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW": nullable Decimal128(27, 2) }, frame: ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW], mode=[Sorted]
        │                       SortExec: expr=[ss_item_sk@0 ASC NULLS LAST, d_date@1 ASC NULLS LAST], preserve_partitioning=[true]
        │                         [Stage 6] => NetworkShuffleExec: output_partitions=3, input_tasks=2
        └──────────────────────────────────────────────────
          ┌───── Stage 3 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ RepartitionExec: partitioning=Hash([ws_item_sk@0], 3), input_partitions=3
          │   AggregateExec: mode=FinalPartitioned, gby=[ws_item_sk@0 as ws_item_sk, d_date@1 as d_date], aggr=[sum(web_sales.ws_sales_price)]
          │     [Stage 2] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 2 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([ws_item_sk@0, d_date@1], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[ws_item_sk@0 as ws_item_sk, d_date@2 as d_date], aggr=[sum(web_sales.ws_sales_price)]
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ws_sold_date_sk@0)], projection=[ws_item_sk@3, ws_sales_price@4, d_date@1]
            │       CoalescePartitionsExec
            │         [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │       FilterExec: ws_item_sk@1 IS NOT NULL
            │         DistributedLeafExec:
            │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_sales_price], file_type=parquet, predicate=ws_item_sk@3 IS NOT NULL AND DynamicFilter [ empty ], pruning_predicate=ws_item_sk_null_count@1 != row_count@0, required_guarantees=[]
            │           t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_sales_price], file_type=parquet, predicate=ws_item_sk@3 IS NOT NULL AND DynamicFilter [ empty ], pruning_predicate=ws_item_sk_null_count@1 != row_count@0, required_guarantees=[]
            │           t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_sales_price], file_type=parquet, predicate=ws_item_sk@3 IS NOT NULL AND DynamicFilter [ empty ], pruning_predicate=ws_item_sk_null_count@1 != row_count@0, required_guarantees=[]
            │           t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_sales_price], file_type=parquet, predicate=ws_item_sk@3 IS NOT NULL AND DynamicFilter [ empty ], pruning_predicate=ws_item_sk_null_count@1 != row_count@0, required_guarantees=[]
            └──────────────────────────────────────────────────
              ┌───── Stage 1 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_month_seq@2 >= 1200 AND d_month_seq@2 <= 1211, projection=[d_date_sk@0, d_date@1]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date, d_month_seq], file_type=parquet, predicate=d_month_seq@3 >= 1200 AND d_month_seq@3 <= 1211, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1200 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1211, required_guarantees=[]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date, d_month_seq], file_type=parquet, predicate=d_month_seq@3 >= 1200 AND d_month_seq@3 <= 1211, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1200 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1211, required_guarantees=[]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date, d_month_seq], file_type=parquet, predicate=d_month_seq@3 >= 1200 AND d_month_seq@3 <= 1211, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1200 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1211, required_guarantees=[]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date, d_month_seq], file_type=parquet, predicate=d_month_seq@3 >= 1200 AND d_month_seq@3 <= 1211, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1200 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1211, required_guarantees=[]
              └──────────────────────────────────────────────────
          ┌───── Stage 6 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ RepartitionExec: partitioning=Hash([ss_item_sk@0], 3), input_partitions=3
          │   AggregateExec: mode=FinalPartitioned, gby=[ss_item_sk@0 as ss_item_sk, d_date@1 as d_date], aggr=[sum(store_sales.ss_sales_price)]
          │     [Stage 5] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 5 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([ss_item_sk@0, d_date@1], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[ss_item_sk@0 as ss_item_sk, d_date@2 as d_date], aggr=[sum(store_sales.ss_sales_price)]
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[ss_item_sk@3, ss_sales_price@4, d_date@1]
            │       CoalescePartitionsExec
            │         [Stage 4] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │       FilterExec: ss_item_sk@1 IS NOT NULL
            │         DistributedLeafExec:
            │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_sales_price], file_type=parquet, predicate=ss_item_sk@2 IS NOT NULL AND DynamicFilter [ empty ], pruning_predicate=ss_item_sk_null_count@1 != row_count@0, required_guarantees=[]
            │           t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_sales_price], file_type=parquet, predicate=ss_item_sk@2 IS NOT NULL AND DynamicFilter [ empty ], pruning_predicate=ss_item_sk_null_count@1 != row_count@0, required_guarantees=[]
            │           t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_sales_price], file_type=parquet, predicate=ss_item_sk@2 IS NOT NULL AND DynamicFilter [ empty ], pruning_predicate=ss_item_sk_null_count@1 != row_count@0, required_guarantees=[]
            │           t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_sales_price], file_type=parquet, predicate=ss_item_sk@2 IS NOT NULL AND DynamicFilter [ empty ], pruning_predicate=ss_item_sk_null_count@1 != row_count@0, required_guarantees=[]
            └──────────────────────────────────────────────────
              ┌───── Stage 4 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_month_seq@2 >= 1200 AND d_month_seq@2 <= 1211, projection=[d_date_sk@0, d_date@1]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date, d_month_seq], file_type=parquet, predicate=d_month_seq@3 >= 1200 AND d_month_seq@3 <= 1211, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1200 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1211, required_guarantees=[]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date, d_month_seq], file_type=parquet, predicate=d_month_seq@3 >= 1200 AND d_month_seq@3 <= 1211, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1200 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1211, required_guarantees=[]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date, d_month_seq], file_type=parquet, predicate=d_month_seq@3 >= 1200 AND d_month_seq@3 <= 1211, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1200 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1211, required_guarantees=[]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date, d_month_seq], file_type=parquet, predicate=d_month_seq@3 >= 1200 AND d_month_seq@3 <= 1211, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1200 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1211, required_guarantees=[]
              └──────────────────────────────────────────────────
        "#);
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_52() -> Result<()> {
        let display = test_tpcds_query("q52").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [d_year@0 ASC NULLS LAST, ext_price@3 DESC, brand_id@1 ASC NULLS LAST], fetch=100
        │   [Stage 4] => NetworkCoalesceExec: output_partitions=6, input_tasks=2
        └──────────────────────────────────────────────────
          ┌───── Stage 4 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ SortExec: TopK(fetch=100), expr=[ext_price@3 DESC, brand_id@1 ASC NULLS LAST], preserve_partitioning=[true]
          │   ProjectionExec: expr=[d_year@0 as d_year, i_brand_id@2 as brand_id, i_brand@1 as brand, sum(store_sales.ss_ext_sales_price)@3 as ext_price]
          │     AggregateExec: mode=FinalPartitioned, gby=[d_year@0 as d_year, i_brand@1 as i_brand, i_brand_id@2 as i_brand_id], aggr=[sum(store_sales.ss_ext_sales_price)], ordering_mode=PartiallySorted([0])
          │       [Stage 3] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 3 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([d_year@0, i_brand@1, i_brand_id@2], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[d_year@0 as d_year, i_brand@3 as i_brand, i_brand_id@2 as i_brand_id], aggr=[sum(store_sales.ss_ext_sales_price)], ordering_mode=PartiallySorted([0])
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, ss_item_sk@1)], projection=[d_year@3, ss_ext_sales_price@5, i_brand_id@1, i_brand@2]
            │       CoalescePartitionsExec
            │         [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[d_year@1, ss_item_sk@3, ss_ext_sales_price@4]
            │         CoalescePartitionsExec
            │           [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │         DistributedLeafExec:
            │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 1 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: i_manager_id@3 = 1, projection=[i_item_sk@0, i_brand_id@1, i_brand@2]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_brand, i_manager_id], file_type=parquet, predicate=i_manager_id@20 = 1, pruning_predicate=i_manager_id_null_count@2 != row_count@3 AND i_manager_id_min@0 <= 1 AND 1 <= i_manager_id_max@1, required_guarantees=[i_manager_id in (1)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_brand, i_manager_id], file_type=parquet, predicate=i_manager_id@20 = 1, pruning_predicate=i_manager_id_null_count@2 != row_count@3 AND i_manager_id_min@0 <= 1 AND 1 <= i_manager_id_max@1, required_guarantees=[i_manager_id in (1)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_brand, i_manager_id], file_type=parquet, predicate=i_manager_id@20 = 1, pruning_predicate=i_manager_id_null_count@2 != row_count@3 AND i_manager_id_min@0 <= 1 AND 1 <= i_manager_id_max@1, required_guarantees=[i_manager_id in (1)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_brand, i_manager_id], file_type=parquet, predicate=i_manager_id@20 = 1, pruning_predicate=i_manager_id_null_count@2 != row_count@3 AND i_manager_id_min@0 <= 1 AND 1 <= i_manager_id_max@1, required_guarantees=[i_manager_id in (1)]
              └──────────────────────────────────────────────────
              ┌───── Stage 2 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_moy@2 = 11 AND d_year@1 = 2000, projection=[d_date_sk@0, d_year@1]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_moy@8 = 11 AND d_year@6 = 2000, pruning_predicate=d_moy_null_count@2 != row_count@3 AND d_moy_min@0 <= 11 AND 11 <= d_moy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 2000 AND 2000 <= d_year_max@5, required_guarantees=[d_moy in (11), d_year in (2000)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_moy@8 = 11 AND d_year@6 = 2000, pruning_predicate=d_moy_null_count@2 != row_count@3 AND d_moy_min@0 <= 11 AND 11 <= d_moy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 2000 AND 2000 <= d_year_max@5, required_guarantees=[d_moy in (11), d_year in (2000)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_moy@8 = 11 AND d_year@6 = 2000, pruning_predicate=d_moy_null_count@2 != row_count@3 AND d_moy_min@0 <= 11 AND 11 <= d_moy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 2000 AND 2000 <= d_year_max@5, required_guarantees=[d_moy in (11), d_year in (2000)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_moy@8 = 11 AND d_year@6 = 2000, pruning_predicate=d_moy_null_count@2 != row_count@3 AND d_moy_min@0 <= 11 AND 11 <= d_moy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 2000 AND 2000 <= d_year_max@5, required_guarantees=[d_moy in (11), d_year in (2000)]
              └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_53() -> Result<()> {
        let display = test_tpcds_query("q53").await?;
        assert_snapshot!(display, @r#"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [avg_quarterly_sales@2 ASC NULLS LAST, sum_sales@1 ASC NULLS LAST, i_manufact_id@0 ASC NULLS LAST], fetch=100
        │   SortExec: TopK(fetch=100), expr=[avg_quarterly_sales@2 ASC NULLS LAST, sum_sales@1 ASC NULLS LAST, i_manufact_id@0 ASC NULLS LAST], preserve_partitioning=[true]
        │     ProjectionExec: expr=[i_manufact_id@0 as i_manufact_id, sum(store_sales.ss_sales_price)@1 as sum_sales, avg(sum(store_sales.ss_sales_price)) PARTITION BY [item.i_manufact_id] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING@2 as avg_quarterly_sales]
        │       FilterExec: CASE WHEN avg(sum(store_sales.ss_sales_price)) PARTITION BY [item.i_manufact_id] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING@2 > Some(0),21,6 THEN abs(sum(store_sales.ss_sales_price)@1 - avg(sum(store_sales.ss_sales_price)) PARTITION BY [item.i_manufact_id] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING@2) / avg(sum(store_sales.ss_sales_price)) PARTITION BY [item.i_manufact_id] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING@2 END > Some(1000000000),32,10
        │         WindowAggExec: wdw=[avg(sum(store_sales.ss_sales_price)) PARTITION BY [item.i_manufact_id] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING: Ok(Field { name: "avg(sum(store_sales.ss_sales_price)) PARTITION BY [item.i_manufact_id] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING", data_type: Decimal128(21, 6), nullable: true }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(NULL)), is_causal: false }]
        │           SortExec: expr=[i_manufact_id@0 ASC NULLS LAST], preserve_partitioning=[true]
        │             [Stage 5] => NetworkShuffleExec: output_partitions=3, input_tasks=2
        └──────────────────────────────────────────────────
          ┌───── Stage 5 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ RepartitionExec: partitioning=Hash([i_manufact_id@0], 3), input_partitions=3
          │   ProjectionExec: expr=[i_manufact_id@0 as i_manufact_id, sum(store_sales.ss_sales_price)@2 as sum(store_sales.ss_sales_price)]
          │     AggregateExec: mode=FinalPartitioned, gby=[i_manufact_id@0 as i_manufact_id, d_qoy@1 as d_qoy], aggr=[sum(store_sales.ss_sales_price)]
          │       [Stage 4] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 4 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([i_manufact_id@0, d_qoy@1], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[i_manufact_id@0 as i_manufact_id, d_qoy@2 as d_qoy], aggr=[sum(store_sales.ss_sales_price)]
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(s_store_sk@0, ss_store_sk@1)], projection=[i_manufact_id@1, ss_sales_price@3, d_qoy@4]
            │       CoalescePartitionsExec
            │         [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@1)], projection=[i_manufact_id@2, ss_store_sk@4, ss_sales_price@5, d_qoy@1]
            │         CoalescePartitionsExec
            │           [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, ss_item_sk@1)], projection=[i_manufact_id@1, ss_sold_date_sk@2, ss_store_sk@4, ss_sales_price@5]
            │           CoalescePartitionsExec
            │             [Stage 3] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │           DistributedLeafExec:
            │             t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_store_sk, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_store_sk, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_store_sk, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_store_sk, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 1 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>]]}, projection=[s_store_sk], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>]]}, projection=[s_store_sk], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 2 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_month_seq@1 IN (SET) ([1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211]), projection=[d_date_sk@0, d_qoy@2]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_month_seq, d_qoy], file_type=parquet, predicate=d_month_seq@3 IN (SET) ([1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211]), pruning_predicate=d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1200 AND 1200 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1201 AND 1201 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1202 AND 1202 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1203 AND 1203 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1204 AND 1204 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1205 AND 1205 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1206 AND 1206 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1207 AND 1207 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1208 AND 1208 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1209 AND 1209 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1210 AND 1210 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1211 AND 1211 <= d_month_seq_max@1, required_guarantees=[d_month_seq in (1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_month_seq, d_qoy], file_type=parquet, predicate=d_month_seq@3 IN (SET) ([1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211]), pruning_predicate=d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1200 AND 1200 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1201 AND 1201 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1202 AND 1202 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1203 AND 1203 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1204 AND 1204 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1205 AND 1205 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1206 AND 1206 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1207 AND 1207 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1208 AND 1208 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1209 AND 1209 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1210 AND 1210 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1211 AND 1211 <= d_month_seq_max@1, required_guarantees=[d_month_seq in (1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_month_seq, d_qoy], file_type=parquet, predicate=d_month_seq@3 IN (SET) ([1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211]), pruning_predicate=d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1200 AND 1200 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1201 AND 1201 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1202 AND 1202 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1203 AND 1203 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1204 AND 1204 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1205 AND 1205 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1206 AND 1206 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1207 AND 1207 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1208 AND 1208 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1209 AND 1209 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1210 AND 1210 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1211 AND 1211 <= d_month_seq_max@1, required_guarantees=[d_month_seq in (1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_month_seq, d_qoy], file_type=parquet, predicate=d_month_seq@3 IN (SET) ([1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211]), pruning_predicate=d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1200 AND 1200 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1201 AND 1201 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1202 AND 1202 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1203 AND 1203 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1204 AND 1204 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1205 AND 1205 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1206 AND 1206 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1207 AND 1207 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1208 AND 1208 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1209 AND 1209 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1210 AND 1210 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1211 AND 1211 <= d_month_seq_max@1, required_guarantees=[d_month_seq in (1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211)]
              └──────────────────────────────────────────────────
              ┌───── Stage 3 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: (i_category@3 = Books OR i_category@3 = Children OR i_category@3 = Electronics) AND i_class@2 IN (SET) ([personal, portable, reference, self-help]) AND i_brand@1 IN (SET) ([scholaramalgamalg #14, scholaramalgamalg #7, exportiunivamalg #9, scholaramalgamalg #9]) OR (i_category@3 = Women OR i_category@3 = Music OR i_category@3 = Men) AND i_class@2 IN (SET) ([accessories, classical, fragrances, pants]) AND i_brand@1 IN (SET) ([amalgimporto #1, edu packscholar #1, exportiimporto #1, importoamalg #1]), projection=[i_item_sk@0, i_manufact_id@4]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand, i_class, i_category, i_manufact_id], file_type=parquet, predicate=(i_category@12 = Books OR i_category@12 = Children OR i_category@12 = Electronics) AND i_class@10 IN (SET) ([personal, portable, reference, self-help]) AND i_brand@8 IN (SET) ([scholaramalgamalg #14, scholaramalgamalg #7, exportiunivamalg #9, scholaramalgamalg #9]) OR (i_category@12 = Women OR i_category@12 = Music OR i_category@12 = Men) AND i_class@10 IN (SET) ([accessories, classical, fragrances, pants]) AND i_brand@8 IN (SET) ([amalgimporto #1, edu packscholar #1, exportiimporto #1, importoamalg #1]), pruning_predicate=(i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Books AND Books <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Children AND Children <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Electronics AND Electronics <= i_category_max@1) AND (i_class_null_count@6 != row_count@3 AND i_class_min@4 <= personal AND personal <= i_class_max@5 OR i_class_null_count@6 != row_count@3 AND i_class_min@4 <= portable AND portable <= i_class_max@5 OR i_class_null_count@6 != row_count@3 AND i_class_min@4 <= reference AND reference <= i_class_max@5 OR i_class_null_count@6 != row_count@3 AND i_class_min@4 <= self-help AND self-help <= i_class_max@5) AND (i_brand_null_count@9 != row_count@3 AND i_brand_min@7 <= scholaramalgamalg #14 AND scholaramalgamalg #14 <= i_brand_max@8 OR i_brand_null_count@9 != row_count@3 AND i_brand_min@7 <= scholaramalgamalg #7 AND scholaramalgamalg #7 <= i_brand_max@8 OR i_brand_null_count@9 != row_count@3 AND i_brand_min@7 <= exportiunivamalg #9 AND exportiunivamalg #9 <= i_brand_max@8 OR i_brand_null_count@9 != row_count@3 AND i_brand_min@7 <= scholaramalgamalg #9 AND scholaramalgamalg #9 <= i_brand_max@8) OR (i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Women AND Women <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Music AND Music <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Men AND Men <= i_category_max@1) AND (i_class_null_count@6 != row_count@3 AND i_class_min@4 <= accessories AND accessories <= i_class_max@5 OR i_class_null_count@6 != row_count@3 AND i_class_min@4 <= classical AND classical <= i_class_max@5 OR i_class_null_count@6 != row_count@3 AND i_class_min@4 <= fragrances AND fragrances <= i_class_max@5 OR i_class_null_count@6 != row_count@3 AND i_class_min@4 <= pants AND pants <= i_class_max@5) AND (i_brand_null_count@9 != row_count@3 AND i_brand_min@7 <= amalgimporto #1 AND amalgimporto #1 <= i_brand_max@8 OR i_brand_null_count@9 != row_count@3 AND i_brand_min@7 <= edu packscholar #1 AND edu packscholar #1 <= i_brand_max@8 OR i_brand_null_count@9 != row_count@3 AND i_brand_min@7 <= exportiimporto #1 AND exportiimporto #1 <= i_brand_max@8 OR i_brand_null_count@9 != row_count@3 AND i_brand_min@7 <= importoamalg #1 AND importoamalg #1 <= i_brand_max@8), required_guarantees=[i_brand in (amalgimporto #1, edu packscholar #1, exportiimporto #1, exportiunivamalg #9, importoamalg #1, scholaramalgamalg #14, scholaramalgamalg #7, scholaramalgamalg #9), i_class in (accessories, classical, fragrances, pants, personal, portable, reference, self-help)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand, i_class, i_category, i_manufact_id], file_type=parquet, predicate=(i_category@12 = Books OR i_category@12 = Children OR i_category@12 = Electronics) AND i_class@10 IN (SET) ([personal, portable, reference, self-help]) AND i_brand@8 IN (SET) ([scholaramalgamalg #14, scholaramalgamalg #7, exportiunivamalg #9, scholaramalgamalg #9]) OR (i_category@12 = Women OR i_category@12 = Music OR i_category@12 = Men) AND i_class@10 IN (SET) ([accessories, classical, fragrances, pants]) AND i_brand@8 IN (SET) ([amalgimporto #1, edu packscholar #1, exportiimporto #1, importoamalg #1]), pruning_predicate=(i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Books AND Books <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Children AND Children <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Electronics AND Electronics <= i_category_max@1) AND (i_class_null_count@6 != row_count@3 AND i_class_min@4 <= personal AND personal <= i_class_max@5 OR i_class_null_count@6 != row_count@3 AND i_class_min@4 <= portable AND portable <= i_class_max@5 OR i_class_null_count@6 != row_count@3 AND i_class_min@4 <= reference AND reference <= i_class_max@5 OR i_class_null_count@6 != row_count@3 AND i_class_min@4 <= self-help AND self-help <= i_class_max@5) AND (i_brand_null_count@9 != row_count@3 AND i_brand_min@7 <= scholaramalgamalg #14 AND scholaramalgamalg #14 <= i_brand_max@8 OR i_brand_null_count@9 != row_count@3 AND i_brand_min@7 <= scholaramalgamalg #7 AND scholaramalgamalg #7 <= i_brand_max@8 OR i_brand_null_count@9 != row_count@3 AND i_brand_min@7 <= exportiunivamalg #9 AND exportiunivamalg #9 <= i_brand_max@8 OR i_brand_null_count@9 != row_count@3 AND i_brand_min@7 <= scholaramalgamalg #9 AND scholaramalgamalg #9 <= i_brand_max@8) OR (i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Women AND Women <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Music AND Music <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Men AND Men <= i_category_max@1) AND (i_class_null_count@6 != row_count@3 AND i_class_min@4 <= accessories AND accessories <= i_class_max@5 OR i_class_null_count@6 != row_count@3 AND i_class_min@4 <= classical AND classical <= i_class_max@5 OR i_class_null_count@6 != row_count@3 AND i_class_min@4 <= fragrances AND fragrances <= i_class_max@5 OR i_class_null_count@6 != row_count@3 AND i_class_min@4 <= pants AND pants <= i_class_max@5) AND (i_brand_null_count@9 != row_count@3 AND i_brand_min@7 <= amalgimporto #1 AND amalgimporto #1 <= i_brand_max@8 OR i_brand_null_count@9 != row_count@3 AND i_brand_min@7 <= edu packscholar #1 AND edu packscholar #1 <= i_brand_max@8 OR i_brand_null_count@9 != row_count@3 AND i_brand_min@7 <= exportiimporto #1 AND exportiimporto #1 <= i_brand_max@8 OR i_brand_null_count@9 != row_count@3 AND i_brand_min@7 <= importoamalg #1 AND importoamalg #1 <= i_brand_max@8), required_guarantees=[i_brand in (amalgimporto #1, edu packscholar #1, exportiimporto #1, exportiunivamalg #9, importoamalg #1, scholaramalgamalg #14, scholaramalgamalg #7, scholaramalgamalg #9), i_class in (accessories, classical, fragrances, pants, personal, portable, reference, self-help)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand, i_class, i_category, i_manufact_id], file_type=parquet, predicate=(i_category@12 = Books OR i_category@12 = Children OR i_category@12 = Electronics) AND i_class@10 IN (SET) ([personal, portable, reference, self-help]) AND i_brand@8 IN (SET) ([scholaramalgamalg #14, scholaramalgamalg #7, exportiunivamalg #9, scholaramalgamalg #9]) OR (i_category@12 = Women OR i_category@12 = Music OR i_category@12 = Men) AND i_class@10 IN (SET) ([accessories, classical, fragrances, pants]) AND i_brand@8 IN (SET) ([amalgimporto #1, edu packscholar #1, exportiimporto #1, importoamalg #1]), pruning_predicate=(i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Books AND Books <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Children AND Children <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Electronics AND Electronics <= i_category_max@1) AND (i_class_null_count@6 != row_count@3 AND i_class_min@4 <= personal AND personal <= i_class_max@5 OR i_class_null_count@6 != row_count@3 AND i_class_min@4 <= portable AND portable <= i_class_max@5 OR i_class_null_count@6 != row_count@3 AND i_class_min@4 <= reference AND reference <= i_class_max@5 OR i_class_null_count@6 != row_count@3 AND i_class_min@4 <= self-help AND self-help <= i_class_max@5) AND (i_brand_null_count@9 != row_count@3 AND i_brand_min@7 <= scholaramalgamalg #14 AND scholaramalgamalg #14 <= i_brand_max@8 OR i_brand_null_count@9 != row_count@3 AND i_brand_min@7 <= scholaramalgamalg #7 AND scholaramalgamalg #7 <= i_brand_max@8 OR i_brand_null_count@9 != row_count@3 AND i_brand_min@7 <= exportiunivamalg #9 AND exportiunivamalg #9 <= i_brand_max@8 OR i_brand_null_count@9 != row_count@3 AND i_brand_min@7 <= scholaramalgamalg #9 AND scholaramalgamalg #9 <= i_brand_max@8) OR (i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Women AND Women <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Music AND Music <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Men AND Men <= i_category_max@1) AND (i_class_null_count@6 != row_count@3 AND i_class_min@4 <= accessories AND accessories <= i_class_max@5 OR i_class_null_count@6 != row_count@3 AND i_class_min@4 <= classical AND classical <= i_class_max@5 OR i_class_null_count@6 != row_count@3 AND i_class_min@4 <= fragrances AND fragrances <= i_class_max@5 OR i_class_null_count@6 != row_count@3 AND i_class_min@4 <= pants AND pants <= i_class_max@5) AND (i_brand_null_count@9 != row_count@3 AND i_brand_min@7 <= amalgimporto #1 AND amalgimporto #1 <= i_brand_max@8 OR i_brand_null_count@9 != row_count@3 AND i_brand_min@7 <= edu packscholar #1 AND edu packscholar #1 <= i_brand_max@8 OR i_brand_null_count@9 != row_count@3 AND i_brand_min@7 <= exportiimporto #1 AND exportiimporto #1 <= i_brand_max@8 OR i_brand_null_count@9 != row_count@3 AND i_brand_min@7 <= importoamalg #1 AND importoamalg #1 <= i_brand_max@8), required_guarantees=[i_brand in (amalgimporto #1, edu packscholar #1, exportiimporto #1, exportiunivamalg #9, importoamalg #1, scholaramalgamalg #14, scholaramalgamalg #7, scholaramalgamalg #9), i_class in (accessories, classical, fragrances, pants, personal, portable, reference, self-help)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand, i_class, i_category, i_manufact_id], file_type=parquet, predicate=(i_category@12 = Books OR i_category@12 = Children OR i_category@12 = Electronics) AND i_class@10 IN (SET) ([personal, portable, reference, self-help]) AND i_brand@8 IN (SET) ([scholaramalgamalg #14, scholaramalgamalg #7, exportiunivamalg #9, scholaramalgamalg #9]) OR (i_category@12 = Women OR i_category@12 = Music OR i_category@12 = Men) AND i_class@10 IN (SET) ([accessories, classical, fragrances, pants]) AND i_brand@8 IN (SET) ([amalgimporto #1, edu packscholar #1, exportiimporto #1, importoamalg #1]), pruning_predicate=(i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Books AND Books <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Children AND Children <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Electronics AND Electronics <= i_category_max@1) AND (i_class_null_count@6 != row_count@3 AND i_class_min@4 <= personal AND personal <= i_class_max@5 OR i_class_null_count@6 != row_count@3 AND i_class_min@4 <= portable AND portable <= i_class_max@5 OR i_class_null_count@6 != row_count@3 AND i_class_min@4 <= reference AND reference <= i_class_max@5 OR i_class_null_count@6 != row_count@3 AND i_class_min@4 <= self-help AND self-help <= i_class_max@5) AND (i_brand_null_count@9 != row_count@3 AND i_brand_min@7 <= scholaramalgamalg #14 AND scholaramalgamalg #14 <= i_brand_max@8 OR i_brand_null_count@9 != row_count@3 AND i_brand_min@7 <= scholaramalgamalg #7 AND scholaramalgamalg #7 <= i_brand_max@8 OR i_brand_null_count@9 != row_count@3 AND i_brand_min@7 <= exportiunivamalg #9 AND exportiunivamalg #9 <= i_brand_max@8 OR i_brand_null_count@9 != row_count@3 AND i_brand_min@7 <= scholaramalgamalg #9 AND scholaramalgamalg #9 <= i_brand_max@8) OR (i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Women AND Women <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Music AND Music <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Men AND Men <= i_category_max@1) AND (i_class_null_count@6 != row_count@3 AND i_class_min@4 <= accessories AND accessories <= i_class_max@5 OR i_class_null_count@6 != row_count@3 AND i_class_min@4 <= classical AND classical <= i_class_max@5 OR i_class_null_count@6 != row_count@3 AND i_class_min@4 <= fragrances AND fragrances <= i_class_max@5 OR i_class_null_count@6 != row_count@3 AND i_class_min@4 <= pants AND pants <= i_class_max@5) AND (i_brand_null_count@9 != row_count@3 AND i_brand_min@7 <= amalgimporto #1 AND amalgimporto #1 <= i_brand_max@8 OR i_brand_null_count@9 != row_count@3 AND i_brand_min@7 <= edu packscholar #1 AND edu packscholar #1 <= i_brand_max@8 OR i_brand_null_count@9 != row_count@3 AND i_brand_min@7 <= exportiimporto #1 AND exportiimporto #1 <= i_brand_max@8 OR i_brand_null_count@9 != row_count@3 AND i_brand_min@7 <= importoamalg #1 AND importoamalg #1 <= i_brand_max@8), required_guarantees=[i_brand in (amalgimporto #1, edu packscholar #1, exportiimporto #1, exportiunivamalg #9, importoamalg #1, scholaramalgamalg #14, scholaramalgamalg #7, scholaramalgamalg #9), i_class in (accessories, classical, fragrances, pants, personal, portable, reference, self-help)]
              └──────────────────────────────────────────────────
        "#);
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_54() -> Result<()> {
        let display = test_tpcds_query("q54").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [segment@0 ASC], fetch=100
        │   SortExec: TopK(fetch=100), expr=[segment@0 ASC], preserve_partitioning=[true]
        │     ProjectionExec: expr=[segment@0 as segment, count(Int64(1))@1 as num_customers, CAST(segment@0 AS Int64) * 50 as segment_base]
        │       AggregateExec: mode=FinalPartitioned, gby=[segment@0 as segment], aggr=[count(Int64(1))]
        │         RepartitionExec: partitioning=Hash([segment@0], 3), input_partitions=3
        │           AggregateExec: mode=Partial, gby=[segment@0 as segment], aggr=[count(Int64(1))]
        │             ProjectionExec: expr=[CAST(round(sum(store_sales.ss_ext_sales_price)@1 / Some(50),20,0) AS Int32) as segment]
        │               AggregateExec: mode=FinalPartitioned, gby=[c_customer_sk@0 as c_customer_sk], aggr=[sum(store_sales.ss_ext_sales_price)]
        │                 RepartitionExec: partitioning=Hash([c_customer_sk@0], 3), input_partitions=3
        │                   AggregateExec: mode=Partial, gby=[c_customer_sk@0 as c_customer_sk], aggr=[sum(store_sales.ss_ext_sales_price)]
        │                     ProjectionExec: expr=[c_customer_sk@0 as c_customer_sk, ss_ext_sales_price@1 as ss_ext_sales_price]
        │                       NestedLoopJoinExec: join_type=Inner, filter=join_proj_push_down_2@1 <= date_dim.d_month_seq + Int64(3)@0, projection=[c_customer_sk@0, ss_ext_sales_price@1, d_month_seq@2, date_dim.d_month_seq + Int64(3)@4]
        │                         CoalescePartitionsExec
        │                           BroadcastExec: input_partitions=1, consumer_tasks=1, output_partitions=1
        │                             ProjectionExec: expr=[c_customer_sk@0 as c_customer_sk, ss_ext_sales_price@1 as ss_ext_sales_price, d_month_seq@2 as d_month_seq, CAST(d_month_seq@2 AS Int64) as join_proj_push_down_2]
        │                               CoalescePartitionsExec
        │                                 [Stage 11] => NetworkCoalesceExec: output_partitions=12, input_tasks=4
        │                         AggregateExec: mode=FinalPartitioned, gby=[date_dim.d_month_seq + Int64(3)@0 as date_dim.d_month_seq + Int64(3)], aggr=[]
        │                           [Stage 12] => NetworkShuffleExec: output_partitions=3, input_tasks=4
        └──────────────────────────────────────────────────
          ┌───── Stage 11 ── Tasks: t0:[p0..p2] t1:[p3..p5] t2:[p6..p8] t3:[p9..p11]
          │ ProjectionExec: expr=[c_customer_sk@1 as c_customer_sk, ss_ext_sales_price@2 as ss_ext_sales_price, d_month_seq@3 as d_month_seq]
          │   NestedLoopJoinExec: join_type=Inner, filter=join_proj_push_down_1@1 >= date_dim.d_month_seq + Int64(1)@0, projection=[date_dim.d_month_seq + Int64(1)@0, c_customer_sk@1, ss_ext_sales_price@2, d_month_seq@3]
          │     CoalescePartitionsExec
          │       [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=1
          │     ProjectionExec: expr=[c_customer_sk@0 as c_customer_sk, ss_ext_sales_price@1 as ss_ext_sales_price, d_month_seq@2 as d_month_seq, CAST(d_month_seq@2 AS Int64) as join_proj_push_down_1]
          │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(ss_sold_date_sk@1, d_date_sk@0)], projection=[c_customer_sk@0, ss_ext_sales_price@2, d_month_seq@4]
          │         CoalescePartitionsExec
          │           [Stage 10] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
          │         RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
          │           DistributedLeafExec:
          │             t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_month_seq], file_type=parquet, predicate=DynamicFilter [ empty ]
          │             t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_month_seq], file_type=parquet, predicate=DynamicFilter [ empty ]
          │             t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_month_seq], file_type=parquet, predicate=DynamicFilter [ empty ]
          │             t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_month_seq], file_type=parquet, predicate=DynamicFilter [ empty ]
          └──────────────────────────────────────────────────
            ┌───── Stage 2 ── Tasks: t0:[p0..p11]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   AggregateExec: mode=FinalPartitioned, gby=[date_dim.d_month_seq + Int64(1)@0 as date_dim.d_month_seq + Int64(1)], aggr=[]
            │     [Stage 1] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            └──────────────────────────────────────────────────
              ┌───── Stage 1 ── Tasks: t0:[p0..p2] t1:[p0..p2] t2:[p0..p2] t3:[p0..p2]
              │ RepartitionExec: partitioning=Hash([date_dim.d_month_seq + Int64(1)@0], 3), input_partitions=3
              │   AggregateExec: mode=Partial, gby=[date_dim.d_month_seq + Int64(1)@0 as date_dim.d_month_seq + Int64(1)], aggr=[]
              │     ProjectionExec: expr=[CAST(d_month_seq@0 AS Int64) + 1 as date_dim.d_month_seq + Int64(1)]
              │       FilterExec: d_year@1 = 1998 AND d_moy@2 = 12, projection=[d_month_seq@0]
              │         RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │           DistributedLeafExec:
              │             t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_month_seq, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1998 AND d_moy@8 = 12, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 12 AND 12 <= d_moy_max@5, required_guarantees=[d_moy in (12), d_year in (1998)]
              │             t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_month_seq, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1998 AND d_moy@8 = 12, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 12 AND 12 <= d_moy_max@5, required_guarantees=[d_moy in (12), d_year in (1998)]
              │             t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_month_seq, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1998 AND d_moy@8 = 12, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 12 AND 12 <= d_moy_max@5, required_guarantees=[d_moy in (12), d_year in (1998)]
              │             t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_month_seq, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1998 AND d_moy@8 = 12, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 12 AND 12 <= d_moy_max@5, required_guarantees=[d_moy in (12), d_year in (1998)]
              └──────────────────────────────────────────────────
            ┌───── Stage 10 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(s_county@0, ca_county@3), (CAST(store.s_state AS Utf8View)@2, ca_state@4)], projection=[c_customer_sk@3, ss_sold_date_sk@4, ss_ext_sales_price@5]
            │     CoalescePartitionsExec
            │       [Stage 3] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(ca_address_sk@0, c_current_addr_sk@1)], projection=[c_customer_sk@3, ss_sold_date_sk@5, ss_ext_sales_price@6, ca_county@1, ca_state@2]
            │       CoalescePartitionsExec
            │         [Stage 4] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(c_customer_sk@0, ss_customer_sk@1)], projection=[c_customer_sk@0, c_current_addr_sk@1, ss_sold_date_sk@2, ss_ext_sales_price@4]
            │         CoalescePartitionsExec
            │           [Stage 9] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=2
            │         DistributedLeafExec:
            │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_customer_sk, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ]
            │           t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_customer_sk, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ]
            │           t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_customer_sk, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ]
            │           t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_customer_sk, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 3 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>]]}, projection=[s_county, s_state, CAST(s_state@24 AS Utf8View) as CAST(store.s_state AS Utf8View)], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>]]}, projection=[s_county, s_state, CAST(s_state@24 AS Utf8View) as CAST(store.s_state AS Utf8View)], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_county, s_state, CAST(s_state@24 AS Utf8View) as CAST(store.s_state AS Utf8View)], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_county, s_state, CAST(s_state@24 AS Utf8View) as CAST(store.s_state AS Utf8View)], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 4 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_county, ca_state], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_county, ca_state], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_county, ca_state], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_county, ca_state], file_type=parquet, predicate=DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
              ┌───── Stage 9 ── Tasks: t0:[p0..p11] t1:[p12..p23]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   AggregateExec: mode=FinalPartitioned, gby=[c_customer_sk@0 as c_customer_sk, c_current_addr_sk@1 as c_current_addr_sk], aggr=[]
              │     [Stage 8] => NetworkShuffleExec: output_partitions=3, input_tasks=4
              └──────────────────────────────────────────────────
                ┌───── Stage 8 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
                │ RepartitionExec: partitioning=Hash([c_customer_sk@0, c_current_addr_sk@1], 6), input_partitions=3
                │   AggregateExec: mode=Partial, gby=[c_customer_sk@0 as c_customer_sk, c_current_addr_sk@1 as c_current_addr_sk], aggr=[]
                │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(customer_sk@0, c_customer_sk@0)], projection=[c_customer_sk@1, c_current_addr_sk@2]
                │       CoalescePartitionsExec
                │         [Stage 7] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
                │       RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │         DistributedLeafExec:
                │           t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_addr_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │           t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_addr_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │           t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_addr_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │           t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_addr_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                └──────────────────────────────────────────────────
                  ┌───── Stage 7 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                  │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                  │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, sold_date_sk@0)], projection=[customer_sk@2]
                  │     CoalescePartitionsExec
                  │       [Stage 5] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
                  │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, item_sk@2)], projection=[sold_date_sk@1, customer_sk@2]
                  │       CoalescePartitionsExec
                  │         [Stage 6] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
                  │       DistributedUnionExec: t0:[c0(0/2)] t1:[c0(1/2)] t2:[c1(0/2)] t3:[c1(1/2)]
                  │         DistributedLeafExec:
                  │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk@0 as sold_date_sk, cs_bill_customer_sk@3 as customer_sk, cs_item_sk@15 as item_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                  │           t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk@0 as sold_date_sk, cs_bill_customer_sk@3 as customer_sk, cs_item_sk@15 as item_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                  │         DistributedLeafExec:
                  │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk@0 as sold_date_sk, ws_bill_customer_sk@4 as customer_sk, ws_item_sk@3 as item_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                  │           t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk@0 as sold_date_sk, ws_bill_customer_sk@4 as customer_sk, ws_item_sk@3 as item_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                  └──────────────────────────────────────────────────
                    ┌───── Stage 5 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                    │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                    │   FilterExec: d_moy@2 = 12 AND d_year@1 = 1998, projection=[d_date_sk@0]
                    │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                    │       DistributedLeafExec:
                    │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_moy@8 = 12 AND d_year@6 = 1998, pruning_predicate=d_moy_null_count@2 != row_count@3 AND d_moy_min@0 <= 12 AND 12 <= d_moy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 1998 AND 1998 <= d_year_max@5, required_guarantees=[d_moy in (12), d_year in (1998)]
                    │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_moy@8 = 12 AND d_year@6 = 1998, pruning_predicate=d_moy_null_count@2 != row_count@3 AND d_moy_min@0 <= 12 AND 12 <= d_moy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 1998 AND 1998 <= d_year_max@5, required_guarantees=[d_moy in (12), d_year in (1998)]
                    │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_moy@8 = 12 AND d_year@6 = 1998, pruning_predicate=d_moy_null_count@2 != row_count@3 AND d_moy_min@0 <= 12 AND 12 <= d_moy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 1998 AND 1998 <= d_year_max@5, required_guarantees=[d_moy in (12), d_year in (1998)]
                    │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_moy@8 = 12 AND d_year@6 = 1998, pruning_predicate=d_moy_null_count@2 != row_count@3 AND d_moy_min@0 <= 12 AND 12 <= d_moy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 1998 AND 1998 <= d_year_max@5, required_guarantees=[d_moy in (12), d_year in (1998)]
                    └──────────────────────────────────────────────────
                    ┌───── Stage 6 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                    │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                    │   FilterExec: i_category@2 = Women AND i_class@1 = maternity, projection=[i_item_sk@0]
                    │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                    │       DistributedLeafExec:
                    │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_class, i_category], file_type=parquet, predicate=i_category@12 = Women AND i_class@10 = maternity, pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Women AND Women <= i_category_max@1 AND i_class_null_count@6 != row_count@3 AND i_class_min@4 <= maternity AND maternity <= i_class_max@5, required_guarantees=[i_category in (Women), i_class in (maternity)]
                    │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_class, i_category], file_type=parquet, predicate=i_category@12 = Women AND i_class@10 = maternity, pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Women AND Women <= i_category_max@1 AND i_class_null_count@6 != row_count@3 AND i_class_min@4 <= maternity AND maternity <= i_class_max@5, required_guarantees=[i_category in (Women), i_class in (maternity)]
                    │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_class, i_category], file_type=parquet, predicate=i_category@12 = Women AND i_class@10 = maternity, pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Women AND Women <= i_category_max@1 AND i_class_null_count@6 != row_count@3 AND i_class_min@4 <= maternity AND maternity <= i_class_max@5, required_guarantees=[i_category in (Women), i_class in (maternity)]
                    │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_class, i_category], file_type=parquet, predicate=i_category@12 = Women AND i_class@10 = maternity, pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Women AND Women <= i_category_max@1 AND i_class_null_count@6 != row_count@3 AND i_class_min@4 <= maternity AND maternity <= i_class_max@5, required_guarantees=[i_category in (Women), i_class in (maternity)]
                    └──────────────────────────────────────────────────
          ┌───── Stage 12 ── Tasks: t0:[p0..p2] t1:[p0..p2] t2:[p0..p2] t3:[p0..p2]
          │ RepartitionExec: partitioning=Hash([date_dim.d_month_seq + Int64(3)@0], 3), input_partitions=3
          │   AggregateExec: mode=Partial, gby=[date_dim.d_month_seq + Int64(3)@0 as date_dim.d_month_seq + Int64(3)], aggr=[]
          │     ProjectionExec: expr=[CAST(d_month_seq@0 AS Int64) + 3 as date_dim.d_month_seq + Int64(3)]
          │       FilterExec: d_year@1 = 1998 AND d_moy@2 = 12, projection=[d_month_seq@0]
          │         RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
          │           DistributedLeafExec:
          │             t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_month_seq, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1998 AND d_moy@8 = 12, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 12 AND 12 <= d_moy_max@5, required_guarantees=[d_moy in (12), d_year in (1998)]
          │             t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_month_seq, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1998 AND d_moy@8 = 12, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 12 AND 12 <= d_moy_max@5, required_guarantees=[d_moy in (12), d_year in (1998)]
          │             t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_month_seq, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1998 AND d_moy@8 = 12, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 12 AND 12 <= d_moy_max@5, required_guarantees=[d_moy in (12), d_year in (1998)]
          │             t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_month_seq, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1998 AND d_moy@8 = 12, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 12 AND 12 <= d_moy_max@5, required_guarantees=[d_moy in (12), d_year in (1998)]
          └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_55() -> Result<()> {
        let display = test_tpcds_query("q55").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [ext_price@2 DESC, brand_id@0 ASC NULLS LAST], fetch=100
        │   [Stage 4] => NetworkCoalesceExec: output_partitions=6, input_tasks=2
        └──────────────────────────────────────────────────
          ┌───── Stage 4 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ SortExec: TopK(fetch=100), expr=[ext_price@2 DESC, brand_id@0 ASC NULLS LAST], preserve_partitioning=[true]
          │   ProjectionExec: expr=[i_brand_id@1 as brand_id, i_brand@0 as brand, sum(store_sales.ss_ext_sales_price)@2 as ext_price]
          │     AggregateExec: mode=FinalPartitioned, gby=[i_brand@0 as i_brand, i_brand_id@1 as i_brand_id], aggr=[sum(store_sales.ss_ext_sales_price)]
          │       [Stage 3] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 3 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([i_brand@0, i_brand_id@1], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[i_brand@2 as i_brand, i_brand_id@1 as i_brand_id], aggr=[sum(store_sales.ss_ext_sales_price)]
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, ss_item_sk@0)], projection=[ss_ext_sales_price@4, i_brand_id@1, i_brand@2]
            │       CoalescePartitionsExec
            │         [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[ss_item_sk@2, ss_ext_sales_price@3]
            │         CoalescePartitionsExec
            │           [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │         DistributedLeafExec:
            │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 1 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: i_manager_id@3 = 28, projection=[i_item_sk@0, i_brand_id@1, i_brand@2]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_brand, i_manager_id], file_type=parquet, predicate=i_manager_id@20 = 28, pruning_predicate=i_manager_id_null_count@2 != row_count@3 AND i_manager_id_min@0 <= 28 AND 28 <= i_manager_id_max@1, required_guarantees=[i_manager_id in (28)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_brand, i_manager_id], file_type=parquet, predicate=i_manager_id@20 = 28, pruning_predicate=i_manager_id_null_count@2 != row_count@3 AND i_manager_id_min@0 <= 28 AND 28 <= i_manager_id_max@1, required_guarantees=[i_manager_id in (28)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_brand, i_manager_id], file_type=parquet, predicate=i_manager_id@20 = 28, pruning_predicate=i_manager_id_null_count@2 != row_count@3 AND i_manager_id_min@0 <= 28 AND 28 <= i_manager_id_max@1, required_guarantees=[i_manager_id in (28)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_brand, i_manager_id], file_type=parquet, predicate=i_manager_id@20 = 28, pruning_predicate=i_manager_id_null_count@2 != row_count@3 AND i_manager_id_min@0 <= 28 AND 28 <= i_manager_id_max@1, required_guarantees=[i_manager_id in (28)]
              └──────────────────────────────────────────────────
              ┌───── Stage 2 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_moy@2 = 11 AND d_year@1 = 1999, projection=[d_date_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_moy@8 = 11 AND d_year@6 = 1999, pruning_predicate=d_moy_null_count@2 != row_count@3 AND d_moy_min@0 <= 11 AND 11 <= d_moy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 1999 AND 1999 <= d_year_max@5, required_guarantees=[d_moy in (11), d_year in (1999)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_moy@8 = 11 AND d_year@6 = 1999, pruning_predicate=d_moy_null_count@2 != row_count@3 AND d_moy_min@0 <= 11 AND 11 <= d_moy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 1999 AND 1999 <= d_year_max@5, required_guarantees=[d_moy in (11), d_year in (1999)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_moy@8 = 11 AND d_year@6 = 1999, pruning_predicate=d_moy_null_count@2 != row_count@3 AND d_moy_min@0 <= 11 AND 11 <= d_moy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 1999 AND 1999 <= d_year_max@5, required_guarantees=[d_moy in (11), d_year in (1999)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_moy@8 = 11 AND d_year@6 = 1999, pruning_predicate=d_moy_null_count@2 != row_count@3 AND d_moy_min@0 <= 11 AND 11 <= d_moy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 1999 AND 1999 <= d_year_max@5, required_guarantees=[d_moy in (11), d_year in (1999)]
              └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_56() -> Result<()> {
        let display = test_tpcds_query("q56").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [total_sales@1 ASC, i_item_id@0 ASC], fetch=100
        │   [Stage 16] => NetworkCoalesceExec: output_partitions=6, input_tasks=2
        └──────────────────────────────────────────────────
          ┌───── Stage 16 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ SortExec: TopK(fetch=100), expr=[total_sales@1 ASC, i_item_id@0 ASC], preserve_partitioning=[true]
          │   ProjectionExec: expr=[i_item_id@0 as i_item_id, sum(tmp1.total_sales)@1 as total_sales]
          │     AggregateExec: mode=SinglePartitioned, gby=[i_item_id@0 as i_item_id], aggr=[sum(tmp1.total_sales)]
          │       InterleaveExec
          │         ProjectionExec: expr=[i_item_id@0 as i_item_id, sum(store_sales.ss_ext_sales_price)@1 as total_sales]
          │           AggregateExec: mode=FinalPartitioned, gby=[i_item_id@0 as i_item_id], aggr=[sum(store_sales.ss_ext_sales_price)]
          │             [Stage 5] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          │         ProjectionExec: expr=[i_item_id@0 as i_item_id, sum(catalog_sales.cs_ext_sales_price)@1 as total_sales]
          │           AggregateExec: mode=FinalPartitioned, gby=[i_item_id@0 as i_item_id], aggr=[sum(catalog_sales.cs_ext_sales_price)]
          │             [Stage 10] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          │         ProjectionExec: expr=[i_item_id@0 as i_item_id, sum(web_sales.ws_ext_sales_price)@1 as total_sales]
          │           AggregateExec: mode=FinalPartitioned, gby=[i_item_id@0 as i_item_id], aggr=[sum(web_sales.ws_ext_sales_price)]
          │             [Stage 15] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 5 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([i_item_id@0], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[i_item_id@1 as i_item_id], aggr=[sum(store_sales.ss_ext_sales_price)]
            │     HashJoinExec: mode=CollectLeft, join_type=RightSemi, on=[(i_item_id@0, i_item_id@1)]
            │       CoalescePartitionsExec
            │         [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, ss_item_sk@0)], projection=[ss_ext_sales_price@3, i_item_id@1]
            │         CoalescePartitionsExec
            │           [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(ca_address_sk@0, ss_addr_sk@1)], projection=[ss_item_sk@1, ss_ext_sales_price@3]
            │           CoalescePartitionsExec
            │             [Stage 3] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │           HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[ss_item_sk@2, ss_addr_sk@3, ss_ext_sales_price@4]
            │             CoalescePartitionsExec
            │               [Stage 4] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │             DistributedLeafExec:
            │               t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_addr_sk, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │               t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_addr_sk, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │               t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_addr_sk, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │               t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_addr_sk, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 1 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: i_color@1 = slate OR i_color@1 = blanched OR i_color@1 = burnished, projection=[i_item_id@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_id, i_color], file_type=parquet, predicate=i_color@17 = slate OR i_color@17 = blanched OR i_color@17 = burnished, pruning_predicate=i_color_null_count@2 != row_count@3 AND i_color_min@0 <= slate AND slate <= i_color_max@1 OR i_color_null_count@2 != row_count@3 AND i_color_min@0 <= blanched AND blanched <= i_color_max@1 OR i_color_null_count@2 != row_count@3 AND i_color_min@0 <= burnished AND burnished <= i_color_max@1, required_guarantees=[i_color in (blanched, burnished, slate)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_id, i_color], file_type=parquet, predicate=i_color@17 = slate OR i_color@17 = blanched OR i_color@17 = burnished, pruning_predicate=i_color_null_count@2 != row_count@3 AND i_color_min@0 <= slate AND slate <= i_color_max@1 OR i_color_null_count@2 != row_count@3 AND i_color_min@0 <= blanched AND blanched <= i_color_max@1 OR i_color_null_count@2 != row_count@3 AND i_color_min@0 <= burnished AND burnished <= i_color_max@1, required_guarantees=[i_color in (blanched, burnished, slate)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_id, i_color], file_type=parquet, predicate=i_color@17 = slate OR i_color@17 = blanched OR i_color@17 = burnished, pruning_predicate=i_color_null_count@2 != row_count@3 AND i_color_min@0 <= slate AND slate <= i_color_max@1 OR i_color_null_count@2 != row_count@3 AND i_color_min@0 <= blanched AND blanched <= i_color_max@1 OR i_color_null_count@2 != row_count@3 AND i_color_min@0 <= burnished AND burnished <= i_color_max@1, required_guarantees=[i_color in (blanched, burnished, slate)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_id, i_color], file_type=parquet, predicate=i_color@17 = slate OR i_color@17 = blanched OR i_color@17 = burnished, pruning_predicate=i_color_null_count@2 != row_count@3 AND i_color_min@0 <= slate AND slate <= i_color_max@1 OR i_color_null_count@2 != row_count@3 AND i_color_min@0 <= blanched AND blanched <= i_color_max@1 OR i_color_null_count@2 != row_count@3 AND i_color_min@0 <= burnished AND burnished <= i_color_max@1, required_guarantees=[i_color in (blanched, burnished, slate)]
              └──────────────────────────────────────────────────
              ┌───── Stage 2 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet, predicate=DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
              ┌───── Stage 3 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: ca_gmt_offset@1 = Some(-500),5,2, projection=[ca_address_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_gmt_offset], file_type=parquet, predicate=ca_gmt_offset@11 = Some(-500),5,2, pruning_predicate=ca_gmt_offset_null_count@2 != row_count@3 AND ca_gmt_offset_min@0 <= Some(-500),5,2 AND Some(-500),5,2 <= ca_gmt_offset_max@1, required_guarantees=[ca_gmt_offset in (Some(-500),5,2)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_gmt_offset], file_type=parquet, predicate=ca_gmt_offset@11 = Some(-500),5,2, pruning_predicate=ca_gmt_offset_null_count@2 != row_count@3 AND ca_gmt_offset_min@0 <= Some(-500),5,2 AND Some(-500),5,2 <= ca_gmt_offset_max@1, required_guarantees=[ca_gmt_offset in (Some(-500),5,2)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_gmt_offset], file_type=parquet, predicate=ca_gmt_offset@11 = Some(-500),5,2, pruning_predicate=ca_gmt_offset_null_count@2 != row_count@3 AND ca_gmt_offset_min@0 <= Some(-500),5,2 AND Some(-500),5,2 <= ca_gmt_offset_max@1, required_guarantees=[ca_gmt_offset in (Some(-500),5,2)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_gmt_offset], file_type=parquet, predicate=ca_gmt_offset@11 = Some(-500),5,2, pruning_predicate=ca_gmt_offset_null_count@2 != row_count@3 AND ca_gmt_offset_min@0 <= Some(-500),5,2 AND Some(-500),5,2 <= ca_gmt_offset_max@1, required_guarantees=[ca_gmt_offset in (Some(-500),5,2)]
              └──────────────────────────────────────────────────
              ┌───── Stage 4 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_year@1 = 2001 AND d_moy@2 = 2, projection=[d_date_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001 AND d_moy@8 = 2, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 2 AND 2 <= d_moy_max@5, required_guarantees=[d_moy in (2), d_year in (2001)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001 AND d_moy@8 = 2, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 2 AND 2 <= d_moy_max@5, required_guarantees=[d_moy in (2), d_year in (2001)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001 AND d_moy@8 = 2, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 2 AND 2 <= d_moy_max@5, required_guarantees=[d_moy in (2), d_year in (2001)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001 AND d_moy@8 = 2, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 2 AND 2 <= d_moy_max@5, required_guarantees=[d_moy in (2), d_year in (2001)]
              └──────────────────────────────────────────────────
            ┌───── Stage 10 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([i_item_id@0], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[i_item_id@1 as i_item_id], aggr=[sum(catalog_sales.cs_ext_sales_price)]
            │     HashJoinExec: mode=CollectLeft, join_type=RightSemi, on=[(i_item_id@0, i_item_id@1)]
            │       CoalescePartitionsExec
            │         [Stage 6] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(cs_item_sk@0, i_item_sk@0)], projection=[cs_ext_sales_price@1, i_item_id@3]
            │         CoalescePartitionsExec
            │           [Stage 9] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │         RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │           DistributedLeafExec:
            │             t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 6 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: i_color@1 = slate OR i_color@1 = blanched OR i_color@1 = burnished, projection=[i_item_id@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_id, i_color], file_type=parquet, predicate=i_color@17 = slate OR i_color@17 = blanched OR i_color@17 = burnished, pruning_predicate=i_color_null_count@2 != row_count@3 AND i_color_min@0 <= slate AND slate <= i_color_max@1 OR i_color_null_count@2 != row_count@3 AND i_color_min@0 <= blanched AND blanched <= i_color_max@1 OR i_color_null_count@2 != row_count@3 AND i_color_min@0 <= burnished AND burnished <= i_color_max@1, required_guarantees=[i_color in (blanched, burnished, slate)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_id, i_color], file_type=parquet, predicate=i_color@17 = slate OR i_color@17 = blanched OR i_color@17 = burnished, pruning_predicate=i_color_null_count@2 != row_count@3 AND i_color_min@0 <= slate AND slate <= i_color_max@1 OR i_color_null_count@2 != row_count@3 AND i_color_min@0 <= blanched AND blanched <= i_color_max@1 OR i_color_null_count@2 != row_count@3 AND i_color_min@0 <= burnished AND burnished <= i_color_max@1, required_guarantees=[i_color in (blanched, burnished, slate)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_id, i_color], file_type=parquet, predicate=i_color@17 = slate OR i_color@17 = blanched OR i_color@17 = burnished, pruning_predicate=i_color_null_count@2 != row_count@3 AND i_color_min@0 <= slate AND slate <= i_color_max@1 OR i_color_null_count@2 != row_count@3 AND i_color_min@0 <= blanched AND blanched <= i_color_max@1 OR i_color_null_count@2 != row_count@3 AND i_color_min@0 <= burnished AND burnished <= i_color_max@1, required_guarantees=[i_color in (blanched, burnished, slate)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_id, i_color], file_type=parquet, predicate=i_color@17 = slate OR i_color@17 = blanched OR i_color@17 = burnished, pruning_predicate=i_color_null_count@2 != row_count@3 AND i_color_min@0 <= slate AND slate <= i_color_max@1 OR i_color_null_count@2 != row_count@3 AND i_color_min@0 <= blanched AND blanched <= i_color_max@1 OR i_color_null_count@2 != row_count@3 AND i_color_min@0 <= burnished AND burnished <= i_color_max@1, required_guarantees=[i_color in (blanched, burnished, slate)]
              └──────────────────────────────────────────────────
              ┌───── Stage 9 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(ca_address_sk@0, cs_bill_addr_sk@0)], projection=[cs_item_sk@2, cs_ext_sales_price@3]
              │     CoalescePartitionsExec
              │       [Stage 7] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
              │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, cs_sold_date_sk@0)], projection=[cs_bill_addr_sk@2, cs_item_sk@3, cs_ext_sales_price@4]
              │       CoalescePartitionsExec
              │         [Stage 8] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_bill_addr_sk, cs_item_sk, cs_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │         t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_bill_addr_sk, cs_item_sk, cs_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │         t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_bill_addr_sk, cs_item_sk, cs_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │         t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_bill_addr_sk, cs_item_sk, cs_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
                ┌───── Stage 7 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                │   FilterExec: ca_gmt_offset@1 = Some(-500),5,2, projection=[ca_address_sk@0]
                │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_gmt_offset], file_type=parquet, predicate=ca_gmt_offset@11 = Some(-500),5,2, pruning_predicate=ca_gmt_offset_null_count@2 != row_count@3 AND ca_gmt_offset_min@0 <= Some(-500),5,2 AND Some(-500),5,2 <= ca_gmt_offset_max@1, required_guarantees=[ca_gmt_offset in (Some(-500),5,2)]
                │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_gmt_offset], file_type=parquet, predicate=ca_gmt_offset@11 = Some(-500),5,2, pruning_predicate=ca_gmt_offset_null_count@2 != row_count@3 AND ca_gmt_offset_min@0 <= Some(-500),5,2 AND Some(-500),5,2 <= ca_gmt_offset_max@1, required_guarantees=[ca_gmt_offset in (Some(-500),5,2)]
                │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_gmt_offset], file_type=parquet, predicate=ca_gmt_offset@11 = Some(-500),5,2, pruning_predicate=ca_gmt_offset_null_count@2 != row_count@3 AND ca_gmt_offset_min@0 <= Some(-500),5,2 AND Some(-500),5,2 <= ca_gmt_offset_max@1, required_guarantees=[ca_gmt_offset in (Some(-500),5,2)]
                │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_gmt_offset], file_type=parquet, predicate=ca_gmt_offset@11 = Some(-500),5,2, pruning_predicate=ca_gmt_offset_null_count@2 != row_count@3 AND ca_gmt_offset_min@0 <= Some(-500),5,2 AND Some(-500),5,2 <= ca_gmt_offset_max@1, required_guarantees=[ca_gmt_offset in (Some(-500),5,2)]
                └──────────────────────────────────────────────────
                ┌───── Stage 8 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                │   FilterExec: d_year@1 = 2001 AND d_moy@2 = 2, projection=[d_date_sk@0]
                │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001 AND d_moy@8 = 2, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 2 AND 2 <= d_moy_max@5, required_guarantees=[d_moy in (2), d_year in (2001)]
                │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001 AND d_moy@8 = 2, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 2 AND 2 <= d_moy_max@5, required_guarantees=[d_moy in (2), d_year in (2001)]
                │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001 AND d_moy@8 = 2, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 2 AND 2 <= d_moy_max@5, required_guarantees=[d_moy in (2), d_year in (2001)]
                │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001 AND d_moy@8 = 2, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 2 AND 2 <= d_moy_max@5, required_guarantees=[d_moy in (2), d_year in (2001)]
                └──────────────────────────────────────────────────
            ┌───── Stage 15 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([i_item_id@0], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[i_item_id@1 as i_item_id], aggr=[sum(web_sales.ws_ext_sales_price)]
            │     HashJoinExec: mode=CollectLeft, join_type=RightSemi, on=[(i_item_id@0, i_item_id@1)]
            │       CoalescePartitionsExec
            │         [Stage 11] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(ws_item_sk@0, i_item_sk@0)], projection=[ws_ext_sales_price@1, i_item_id@3]
            │         CoalescePartitionsExec
            │           [Stage 14] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │         RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │           DistributedLeafExec:
            │             t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 11 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: i_color@1 = slate OR i_color@1 = blanched OR i_color@1 = burnished, projection=[i_item_id@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_id, i_color], file_type=parquet, predicate=i_color@17 = slate OR i_color@17 = blanched OR i_color@17 = burnished, pruning_predicate=i_color_null_count@2 != row_count@3 AND i_color_min@0 <= slate AND slate <= i_color_max@1 OR i_color_null_count@2 != row_count@3 AND i_color_min@0 <= blanched AND blanched <= i_color_max@1 OR i_color_null_count@2 != row_count@3 AND i_color_min@0 <= burnished AND burnished <= i_color_max@1, required_guarantees=[i_color in (blanched, burnished, slate)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_id, i_color], file_type=parquet, predicate=i_color@17 = slate OR i_color@17 = blanched OR i_color@17 = burnished, pruning_predicate=i_color_null_count@2 != row_count@3 AND i_color_min@0 <= slate AND slate <= i_color_max@1 OR i_color_null_count@2 != row_count@3 AND i_color_min@0 <= blanched AND blanched <= i_color_max@1 OR i_color_null_count@2 != row_count@3 AND i_color_min@0 <= burnished AND burnished <= i_color_max@1, required_guarantees=[i_color in (blanched, burnished, slate)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_id, i_color], file_type=parquet, predicate=i_color@17 = slate OR i_color@17 = blanched OR i_color@17 = burnished, pruning_predicate=i_color_null_count@2 != row_count@3 AND i_color_min@0 <= slate AND slate <= i_color_max@1 OR i_color_null_count@2 != row_count@3 AND i_color_min@0 <= blanched AND blanched <= i_color_max@1 OR i_color_null_count@2 != row_count@3 AND i_color_min@0 <= burnished AND burnished <= i_color_max@1, required_guarantees=[i_color in (blanched, burnished, slate)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_id, i_color], file_type=parquet, predicate=i_color@17 = slate OR i_color@17 = blanched OR i_color@17 = burnished, pruning_predicate=i_color_null_count@2 != row_count@3 AND i_color_min@0 <= slate AND slate <= i_color_max@1 OR i_color_null_count@2 != row_count@3 AND i_color_min@0 <= blanched AND blanched <= i_color_max@1 OR i_color_null_count@2 != row_count@3 AND i_color_min@0 <= burnished AND burnished <= i_color_max@1, required_guarantees=[i_color in (blanched, burnished, slate)]
              └──────────────────────────────────────────────────
              ┌───── Stage 14 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(ca_address_sk@0, ws_bill_addr_sk@1)], projection=[ws_item_sk@1, ws_ext_sales_price@3]
              │     CoalescePartitionsExec
              │       [Stage 12] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
              │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ws_sold_date_sk@0)], projection=[ws_item_sk@2, ws_bill_addr_sk@3, ws_ext_sales_price@4]
              │       CoalescePartitionsExec
              │         [Stage 13] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_bill_addr_sk, ws_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │         t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_bill_addr_sk, ws_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │         t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_bill_addr_sk, ws_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │         t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_bill_addr_sk, ws_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
                ┌───── Stage 12 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                │   FilterExec: ca_gmt_offset@1 = Some(-500),5,2, projection=[ca_address_sk@0]
                │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_gmt_offset], file_type=parquet, predicate=ca_gmt_offset@11 = Some(-500),5,2, pruning_predicate=ca_gmt_offset_null_count@2 != row_count@3 AND ca_gmt_offset_min@0 <= Some(-500),5,2 AND Some(-500),5,2 <= ca_gmt_offset_max@1, required_guarantees=[ca_gmt_offset in (Some(-500),5,2)]
                │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_gmt_offset], file_type=parquet, predicate=ca_gmt_offset@11 = Some(-500),5,2, pruning_predicate=ca_gmt_offset_null_count@2 != row_count@3 AND ca_gmt_offset_min@0 <= Some(-500),5,2 AND Some(-500),5,2 <= ca_gmt_offset_max@1, required_guarantees=[ca_gmt_offset in (Some(-500),5,2)]
                │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_gmt_offset], file_type=parquet, predicate=ca_gmt_offset@11 = Some(-500),5,2, pruning_predicate=ca_gmt_offset_null_count@2 != row_count@3 AND ca_gmt_offset_min@0 <= Some(-500),5,2 AND Some(-500),5,2 <= ca_gmt_offset_max@1, required_guarantees=[ca_gmt_offset in (Some(-500),5,2)]
                │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_gmt_offset], file_type=parquet, predicate=ca_gmt_offset@11 = Some(-500),5,2, pruning_predicate=ca_gmt_offset_null_count@2 != row_count@3 AND ca_gmt_offset_min@0 <= Some(-500),5,2 AND Some(-500),5,2 <= ca_gmt_offset_max@1, required_guarantees=[ca_gmt_offset in (Some(-500),5,2)]
                └──────────────────────────────────────────────────
                ┌───── Stage 13 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                │   FilterExec: d_year@1 = 2001 AND d_moy@2 = 2, projection=[d_date_sk@0]
                │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001 AND d_moy@8 = 2, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 2 AND 2 <= d_moy_max@5, required_guarantees=[d_moy in (2), d_year in (2001)]
                │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001 AND d_moy@8 = 2, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 2 AND 2 <= d_moy_max@5, required_guarantees=[d_moy in (2), d_year in (2001)]
                │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001 AND d_moy@8 = 2, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 2 AND 2 <= d_moy_max@5, required_guarantees=[d_moy in (2), d_year in (2001)]
                │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001 AND d_moy@8 = 2, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 2 AND 2 <= d_moy_max@5, required_guarantees=[d_moy in (2), d_year in (2001)]
                └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_57() -> Result<()> {
        let display = test_tpcds_query("q57").await?;
        assert_snapshot!(display, @r#"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [sum_sales@6 - avg_monthly_sales@5 ASC, i_category@0 ASC NULLS LAST, i_brand@1 ASC NULLS LAST, cc_name@2 ASC NULLS LAST, d_year@3 ASC NULLS LAST, d_moy@4 ASC NULLS LAST, psum@7 ASC NULLS LAST, nsum@8 ASC NULLS LAST], fetch=100
        │   SortExec: TopK(fetch=100), expr=[sum_sales@6 - avg_monthly_sales@5 ASC, i_category@0 ASC NULLS LAST, i_brand@1 ASC NULLS LAST, cc_name@2 ASC NULLS LAST, d_moy@4 ASC NULLS LAST, psum@7 ASC NULLS LAST, nsum@8 ASC NULLS LAST], preserve_partitioning=[true]
        │     ProjectionExec: expr=[i_category@0 as i_category, i_brand@1 as i_brand, cc_name@2 as cc_name, d_year@3 as d_year, d_moy@4 as d_moy, avg_monthly_sales@5 as avg_monthly_sales, sum_sales@6 as sum_sales, sum_sales@7 as psum, sum_sales@8 as nsum]
        │       HashJoinExec: mode=Partitioned, join_type=Inner, on=[(i_category@0, i_category@0), (i_brand@1, i_brand@1), (cc_name@2, cc_name@2), (CAST(v1.rn AS Decimal128(21, 0))@9, v1_lead.rn - Decimal128(Some(1),20,0)@5)], projection=[i_category@0, i_brand@1, cc_name@2, d_year@3, d_moy@4, avg_monthly_sales@6, sum_sales@5, sum_sales@8, sum_sales@13]
        │         RepartitionExec: partitioning=Hash([i_category@0, i_brand@1, cc_name@2, CAST(v1.rn AS Decimal128(21, 0))@9], 3), input_partitions=3
        │           ProjectionExec: expr=[i_category@0 as i_category, i_brand@1 as i_brand, cc_name@2 as cc_name, d_year@3 as d_year, d_moy@4 as d_moy, sum_sales@5 as sum_sales, avg_monthly_sales@6 as avg_monthly_sales, rn@7 as rn, sum_sales@8 as sum_sales, CAST(rn@7 AS Decimal128(21, 0)) as CAST(v1.rn AS Decimal128(21, 0))]
        │             HashJoinExec: mode=Partitioned, join_type=Inner, on=[(i_category@0, i_category@0), (i_brand@1, i_brand@1), (cc_name@2, cc_name@2), (CAST(v1.rn AS Decimal128(21, 0))@8, v1_lag.rn + Decimal128(Some(1),20,0)@5)], projection=[i_category@0, i_brand@1, cc_name@2, d_year@3, d_moy@4, sum_sales@5, avg_monthly_sales@6, rn@7, sum_sales@12]
        │               RepartitionExec: partitioning=Hash([i_category@0, i_brand@1, cc_name@2, CAST(v1.rn AS Decimal128(21, 0))@8], 3), input_partitions=3
        │                 ProjectionExec: expr=[i_category@0 as i_category, i_brand@1 as i_brand, cc_name@2 as cc_name, d_year@3 as d_year, d_moy@4 as d_moy, sum(catalog_sales.cs_sales_price)@5 as sum_sales, avg(sum(catalog_sales.cs_sales_price)) PARTITION BY [item.i_category, item.i_brand, call_center.cc_name, date_dim.d_year] ORDER BY [date_dim.d_moy ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@6 as avg_monthly_sales, rank() PARTITION BY [item.i_category, item.i_brand, call_center.cc_name] ORDER BY [date_dim.d_year ASC NULLS LAST, date_dim.d_moy ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@7 as rn, CAST(rank() PARTITION BY [item.i_category, item.i_brand, call_center.cc_name] ORDER BY [date_dim.d_year ASC NULLS LAST, date_dim.d_moy ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@7 AS Decimal128(21, 0)) as CAST(v1.rn AS Decimal128(21, 0))]
        │                   FilterExec: d_year@3 = 1999 AND avg(sum(catalog_sales.cs_sales_price)) PARTITION BY [item.i_category, item.i_brand, call_center.cc_name, date_dim.d_year] ORDER BY [date_dim.d_moy ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@6 > Some(0),21,6 AND CASE WHEN avg(sum(catalog_sales.cs_sales_price)) PARTITION BY [item.i_category, item.i_brand, call_center.cc_name, date_dim.d_year] ORDER BY [date_dim.d_moy ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@6 > Some(0),21,6 THEN abs(sum(catalog_sales.cs_sales_price)@5 - avg(sum(catalog_sales.cs_sales_price)) PARTITION BY [item.i_category, item.i_brand, call_center.cc_name, date_dim.d_year] ORDER BY [date_dim.d_moy ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@6) / avg(sum(catalog_sales.cs_sales_price)) PARTITION BY [item.i_category, item.i_brand, call_center.cc_name, date_dim.d_year] ORDER BY [date_dim.d_moy ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@6 END > Some(1000000000),32,10
        │                     BoundedWindowAggExec: wdw=[rank() PARTITION BY [item.i_category, item.i_brand, call_center.cc_name] ORDER BY [date_dim.d_year ASC NULLS LAST, date_dim.d_moy ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Field { "rank() PARTITION BY [item.i_category, item.i_brand, call_center.cc_name] ORDER BY [date_dim.d_year ASC NULLS LAST, date_dim.d_moy ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW": UInt64 }, frame: RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW], mode=[Sorted]
        │                       SortExec: expr=[i_category@0 ASC NULLS LAST, i_brand@1 ASC NULLS LAST, cc_name@2 ASC NULLS LAST, d_year@3 ASC NULLS LAST, d_moy@4 ASC NULLS LAST], preserve_partitioning=[true]
        │                         RepartitionExec: partitioning=Hash([i_category@0, i_brand@1, cc_name@2], 3), input_partitions=3
        │                           BoundedWindowAggExec: wdw=[avg(sum(catalog_sales.cs_sales_price)) PARTITION BY [item.i_category, item.i_brand, call_center.cc_name, date_dim.d_year] ORDER BY [date_dim.d_moy ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Field { "avg(sum(catalog_sales.cs_sales_price)) PARTITION BY [item.i_category, item.i_brand, call_center.cc_name, date_dim.d_year] ORDER BY [date_dim.d_moy ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW": nullable Decimal128(21, 6) }, frame: RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW], mode=[Sorted]
        │                             SortExec: expr=[i_category@0 ASC NULLS LAST, i_brand@1 ASC NULLS LAST, cc_name@2 ASC NULLS LAST, d_year@3 ASC NULLS LAST, d_moy@4 ASC NULLS LAST], preserve_partitioning=[true]
        │                               [Stage 5] => NetworkShuffleExec: output_partitions=3, input_tasks=2
        │               RepartitionExec: partitioning=Hash([i_category@0, i_brand@1, cc_name@2, v1_lag.rn + Decimal128(Some(1),20,0)@5], 3), input_partitions=3
        │                 ProjectionExec: expr=[i_category@0 as i_category, i_brand@1 as i_brand, cc_name@2 as cc_name, sum(catalog_sales.cs_sales_price)@5 as sum_sales, rank() PARTITION BY [item.i_category, item.i_brand, call_center.cc_name] ORDER BY [date_dim.d_year ASC NULLS LAST, date_dim.d_moy ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@6 as rn, CAST(rank() PARTITION BY [item.i_category, item.i_brand, call_center.cc_name] ORDER BY [date_dim.d_year ASC NULLS LAST, date_dim.d_moy ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@6 AS Decimal128(20, 0)) + Some(1),20,0 as v1_lag.rn + Decimal128(Some(1),20,0)]
        │                   BoundedWindowAggExec: wdw=[rank() PARTITION BY [item.i_category, item.i_brand, call_center.cc_name] ORDER BY [date_dim.d_year ASC NULLS LAST, date_dim.d_moy ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Field { "rank() PARTITION BY [item.i_category, item.i_brand, call_center.cc_name] ORDER BY [date_dim.d_year ASC NULLS LAST, date_dim.d_moy ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW": UInt64 }, frame: RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW], mode=[Sorted]
        │                     SortExec: expr=[i_category@0 ASC NULLS LAST, i_brand@1 ASC NULLS LAST, cc_name@2 ASC NULLS LAST, d_year@3 ASC NULLS LAST, d_moy@4 ASC NULLS LAST], preserve_partitioning=[true]
        │                       [Stage 10] => NetworkShuffleExec: output_partitions=3, input_tasks=2
        │         RepartitionExec: partitioning=Hash([i_category@0, i_brand@1, cc_name@2, v1_lead.rn - Decimal128(Some(1),20,0)@5], 3), input_partitions=3
        │           ProjectionExec: expr=[i_category@0 as i_category, i_brand@1 as i_brand, cc_name@2 as cc_name, sum(catalog_sales.cs_sales_price)@5 as sum_sales, rank() PARTITION BY [item.i_category, item.i_brand, call_center.cc_name] ORDER BY [date_dim.d_year ASC NULLS LAST, date_dim.d_moy ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@6 as rn, CAST(rank() PARTITION BY [item.i_category, item.i_brand, call_center.cc_name] ORDER BY [date_dim.d_year ASC NULLS LAST, date_dim.d_moy ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@6 AS Decimal128(20, 0)) - Some(1),20,0 as v1_lead.rn - Decimal128(Some(1),20,0)]
        │             BoundedWindowAggExec: wdw=[rank() PARTITION BY [item.i_category, item.i_brand, call_center.cc_name] ORDER BY [date_dim.d_year ASC NULLS LAST, date_dim.d_moy ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Field { "rank() PARTITION BY [item.i_category, item.i_brand, call_center.cc_name] ORDER BY [date_dim.d_year ASC NULLS LAST, date_dim.d_moy ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW": UInt64 }, frame: RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW], mode=[Sorted]
        │               SortExec: expr=[i_category@0 ASC NULLS LAST, i_brand@1 ASC NULLS LAST, cc_name@2 ASC NULLS LAST, d_year@3 ASC NULLS LAST, d_moy@4 ASC NULLS LAST], preserve_partitioning=[true]
        │                 [Stage 15] => NetworkShuffleExec: output_partitions=3, input_tasks=2
        └──────────────────────────────────────────────────
          ┌───── Stage 5 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ RepartitionExec: partitioning=Hash([i_category@0, i_brand@1, cc_name@2, d_year@3], 3), input_partitions=3
          │   AggregateExec: mode=FinalPartitioned, gby=[i_category@0 as i_category, i_brand@1 as i_brand, cc_name@2 as cc_name, d_year@3 as d_year, d_moy@4 as d_moy], aggr=[sum(catalog_sales.cs_sales_price)]
          │     [Stage 4] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 4 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([i_category@0, i_brand@1, cc_name@2, d_year@3, d_moy@4], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[i_category@1 as i_category, i_brand@0 as i_brand, cc_name@5 as cc_name, d_year@3 as d_year, d_moy@4 as d_moy], aggr=[sum(catalog_sales.cs_sales_price)]
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(cc_call_center_sk@0, cs_call_center_sk@2)], projection=[i_brand@2, i_category@3, cs_sales_price@5, d_year@6, d_moy@7, cc_name@1]
            │       CoalescePartitionsExec
            │         [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, cs_sold_date_sk@2)], projection=[i_brand@3, i_category@4, cs_call_center_sk@6, cs_sales_price@7, d_year@1, d_moy@2]
            │         CoalescePartitionsExec
            │           [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, cs_item_sk@2)], projection=[i_brand@1, i_category@2, cs_sold_date_sk@3, cs_call_center_sk@4, cs_sales_price@6]
            │           CoalescePartitionsExec
            │             [Stage 3] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │           DistributedLeafExec:
            │             t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_call_center_sk, cs_item_sk, cs_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_call_center_sk, cs_item_sk, cs_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_call_center_sk, cs_item_sk, cs_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_call_center_sk, cs_item_sk, cs_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 1 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/call_center/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/call_center/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/call_center/part-1.parquet:<int>..<int>]]}, projection=[cc_call_center_sk, cc_name], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/call_center/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/call_center/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/call_center/part-2.parquet:<int>..<int>]]}, projection=[cc_call_center_sk, cc_name], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/call_center/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/call_center/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/call_center/part-3.parquet:<int>..<int>]]}, projection=[cc_call_center_sk, cc_name], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/call_center/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/call_center/part-3.parquet:<int>..<int>]]}, projection=[cc_call_center_sk, cc_name], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 2 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_year@1 = 1999 OR d_year@1 = 1998 AND d_moy@2 = 12 OR d_year@1 = 2000 AND d_moy@2 = 1
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1999 OR d_year@6 = 1998 AND d_moy@8 = 12 OR d_year@6 = 2000 AND d_moy@8 = 1, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1999 AND 1999 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 12 AND 12 <= d_moy_max@5 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 1 AND 1 <= d_moy_max@5, required_guarantees=[d_year in (1998, 1999, 2000)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1999 OR d_year@6 = 1998 AND d_moy@8 = 12 OR d_year@6 = 2000 AND d_moy@8 = 1, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1999 AND 1999 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 12 AND 12 <= d_moy_max@5 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 1 AND 1 <= d_moy_max@5, required_guarantees=[d_year in (1998, 1999, 2000)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1999 OR d_year@6 = 1998 AND d_moy@8 = 12 OR d_year@6 = 2000 AND d_moy@8 = 1, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1999 AND 1999 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 12 AND 12 <= d_moy_max@5 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 1 AND 1 <= d_moy_max@5, required_guarantees=[d_year in (1998, 1999, 2000)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1999 OR d_year@6 = 1998 AND d_moy@8 = 12 OR d_year@6 = 2000 AND d_moy@8 = 1, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1999 AND 1999 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 12 AND 12 <= d_moy_max@5 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 1 AND 1 <= d_moy_max@5, required_guarantees=[d_year in (1998, 1999, 2000)]
              └──────────────────────────────────────────────────
              ┌───── Stage 3 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand, i_category], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand, i_category], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand, i_category], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand, i_category], file_type=parquet
              └──────────────────────────────────────────────────
          ┌───── Stage 10 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ RepartitionExec: partitioning=Hash([i_category@0, i_brand@1, cc_name@2], 3), input_partitions=3
          │   AggregateExec: mode=FinalPartitioned, gby=[i_category@0 as i_category, i_brand@1 as i_brand, cc_name@2 as cc_name, d_year@3 as d_year, d_moy@4 as d_moy], aggr=[sum(catalog_sales.cs_sales_price)]
          │     [Stage 9] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 9 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([i_category@0, i_brand@1, cc_name@2, d_year@3, d_moy@4], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[i_category@1 as i_category, i_brand@0 as i_brand, cc_name@5 as cc_name, d_year@3 as d_year, d_moy@4 as d_moy], aggr=[sum(catalog_sales.cs_sales_price)]
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(cc_call_center_sk@0, cs_call_center_sk@2)], projection=[i_brand@2, i_category@3, cs_sales_price@5, d_year@6, d_moy@7, cc_name@1]
            │       CoalescePartitionsExec
            │         [Stage 6] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, cs_sold_date_sk@2)], projection=[i_brand@3, i_category@4, cs_call_center_sk@6, cs_sales_price@7, d_year@1, d_moy@2]
            │         CoalescePartitionsExec
            │           [Stage 7] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, cs_item_sk@2)], projection=[i_brand@1, i_category@2, cs_sold_date_sk@3, cs_call_center_sk@4, cs_sales_price@6]
            │           CoalescePartitionsExec
            │             [Stage 8] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │           DistributedLeafExec:
            │             t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_call_center_sk, cs_item_sk, cs_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_call_center_sk, cs_item_sk, cs_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_call_center_sk, cs_item_sk, cs_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_call_center_sk, cs_item_sk, cs_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 6 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/call_center/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/call_center/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/call_center/part-1.parquet:<int>..<int>]]}, projection=[cc_call_center_sk, cc_name], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/call_center/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/call_center/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/call_center/part-2.parquet:<int>..<int>]]}, projection=[cc_call_center_sk, cc_name], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/call_center/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/call_center/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/call_center/part-3.parquet:<int>..<int>]]}, projection=[cc_call_center_sk, cc_name], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/call_center/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/call_center/part-3.parquet:<int>..<int>]]}, projection=[cc_call_center_sk, cc_name], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 7 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_year@1 = 1999 OR d_year@1 = 1998 AND d_moy@2 = 12 OR d_year@1 = 2000 AND d_moy@2 = 1
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1999 OR d_year@6 = 1998 AND d_moy@8 = 12 OR d_year@6 = 2000 AND d_moy@8 = 1, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1999 AND 1999 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 12 AND 12 <= d_moy_max@5 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 1 AND 1 <= d_moy_max@5, required_guarantees=[d_year in (1998, 1999, 2000)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1999 OR d_year@6 = 1998 AND d_moy@8 = 12 OR d_year@6 = 2000 AND d_moy@8 = 1, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1999 AND 1999 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 12 AND 12 <= d_moy_max@5 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 1 AND 1 <= d_moy_max@5, required_guarantees=[d_year in (1998, 1999, 2000)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1999 OR d_year@6 = 1998 AND d_moy@8 = 12 OR d_year@6 = 2000 AND d_moy@8 = 1, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1999 AND 1999 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 12 AND 12 <= d_moy_max@5 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 1 AND 1 <= d_moy_max@5, required_guarantees=[d_year in (1998, 1999, 2000)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1999 OR d_year@6 = 1998 AND d_moy@8 = 12 OR d_year@6 = 2000 AND d_moy@8 = 1, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1999 AND 1999 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 12 AND 12 <= d_moy_max@5 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 1 AND 1 <= d_moy_max@5, required_guarantees=[d_year in (1998, 1999, 2000)]
              └──────────────────────────────────────────────────
              ┌───── Stage 8 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand, i_category], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand, i_category], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand, i_category], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand, i_category], file_type=parquet
              └──────────────────────────────────────────────────
          ┌───── Stage 15 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ RepartitionExec: partitioning=Hash([i_category@0, i_brand@1, cc_name@2], 3), input_partitions=3
          │   AggregateExec: mode=FinalPartitioned, gby=[i_category@0 as i_category, i_brand@1 as i_brand, cc_name@2 as cc_name, d_year@3 as d_year, d_moy@4 as d_moy], aggr=[sum(catalog_sales.cs_sales_price)]
          │     [Stage 14] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 14 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([i_category@0, i_brand@1, cc_name@2, d_year@3, d_moy@4], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[i_category@1 as i_category, i_brand@0 as i_brand, cc_name@5 as cc_name, d_year@3 as d_year, d_moy@4 as d_moy], aggr=[sum(catalog_sales.cs_sales_price)]
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(cc_call_center_sk@0, cs_call_center_sk@2)], projection=[i_brand@2, i_category@3, cs_sales_price@5, d_year@6, d_moy@7, cc_name@1]
            │       CoalescePartitionsExec
            │         [Stage 11] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, cs_sold_date_sk@2)], projection=[i_brand@3, i_category@4, cs_call_center_sk@6, cs_sales_price@7, d_year@1, d_moy@2]
            │         CoalescePartitionsExec
            │           [Stage 12] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, cs_item_sk@2)], projection=[i_brand@1, i_category@2, cs_sold_date_sk@3, cs_call_center_sk@4, cs_sales_price@6]
            │           CoalescePartitionsExec
            │             [Stage 13] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │           DistributedLeafExec:
            │             t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_call_center_sk, cs_item_sk, cs_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_call_center_sk, cs_item_sk, cs_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_call_center_sk, cs_item_sk, cs_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_call_center_sk, cs_item_sk, cs_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 11 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/call_center/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/call_center/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/call_center/part-1.parquet:<int>..<int>]]}, projection=[cc_call_center_sk, cc_name], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/call_center/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/call_center/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/call_center/part-2.parquet:<int>..<int>]]}, projection=[cc_call_center_sk, cc_name], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/call_center/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/call_center/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/call_center/part-3.parquet:<int>..<int>]]}, projection=[cc_call_center_sk, cc_name], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/call_center/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/call_center/part-3.parquet:<int>..<int>]]}, projection=[cc_call_center_sk, cc_name], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 12 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_year@1 = 1999 OR d_year@1 = 1998 AND d_moy@2 = 12 OR d_year@1 = 2000 AND d_moy@2 = 1
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1999 OR d_year@6 = 1998 AND d_moy@8 = 12 OR d_year@6 = 2000 AND d_moy@8 = 1, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1999 AND 1999 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 12 AND 12 <= d_moy_max@5 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 1 AND 1 <= d_moy_max@5, required_guarantees=[d_year in (1998, 1999, 2000)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1999 OR d_year@6 = 1998 AND d_moy@8 = 12 OR d_year@6 = 2000 AND d_moy@8 = 1, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1999 AND 1999 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 12 AND 12 <= d_moy_max@5 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 1 AND 1 <= d_moy_max@5, required_guarantees=[d_year in (1998, 1999, 2000)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1999 OR d_year@6 = 1998 AND d_moy@8 = 12 OR d_year@6 = 2000 AND d_moy@8 = 1, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1999 AND 1999 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 12 AND 12 <= d_moy_max@5 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 1 AND 1 <= d_moy_max@5, required_guarantees=[d_year in (1998, 1999, 2000)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1999 OR d_year@6 = 1998 AND d_moy@8 = 12 OR d_year@6 = 2000 AND d_moy@8 = 1, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1999 AND 1999 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 12 AND 12 <= d_moy_max@5 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 1 AND 1 <= d_moy_max@5, required_guarantees=[d_year in (1998, 1999, 2000)]
              └──────────────────────────────────────────────────
              ┌───── Stage 13 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand, i_category], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand, i_category], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand, i_category], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand, i_category], file_type=parquet
              └──────────────────────────────────────────────────
        "#);
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_58() -> Result<()> {
        let display = test_tpcds_query("q58").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [item_id@0 ASC], fetch=100
        │   [Stage 18] => NetworkCoalesceExec: output_partitions=6, input_tasks=2
        └──────────────────────────────────────────────────
          ┌───── Stage 18 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ SortExec: TopK(fetch=100), expr=[item_id@0 ASC], preserve_partitioning=[true]
          │   ProjectionExec: expr=[item_id@1 as item_id, ss_item_rev@2 as ss_item_rev, ss_item_rev@2 / __common_expr_7@0 * Some(100),20,0 as ss_dev, cs_item_rev@3 as cs_item_rev, cs_item_rev@3 / __common_expr_7@0 * Some(100),20,0 as cs_dev, ws_item_rev@4 as ws_item_rev, ws_item_rev@4 / __common_expr_7@0 * Some(100),20,0 as ws_dev, __common_expr_7@0 as average]
          │     ProjectionExec: expr=[(ss_item_rev@0 + cs_item_rev@1 + ws_item_rev@2) / Some(3),20,0 as __common_expr_7, item_id@3 as item_id, ss_item_rev@0 as ss_item_rev, cs_item_rev@1 as cs_item_rev, ws_item_rev@2 as ws_item_rev]
          │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(item_id@0, item_id@0)], filter=CAST(ss_item_rev@0 AS Decimal128(30, 15)) >= CAST(0.9 * CAST(ws_item_rev@2 AS Float64) AS Decimal128(30, 15)) AND CAST(ss_item_rev@0 AS Decimal128(30, 15)) <= CAST(1.1 * CAST(ws_item_rev@2 AS Float64) AS Decimal128(30, 15)) AND CAST(cs_item_rev@1 AS Decimal128(30, 15)) >= CAST(0.9 * CAST(ws_item_rev@2 AS Float64) AS Decimal128(30, 15)) AND CAST(cs_item_rev@1 AS Decimal128(30, 15)) <= CAST(1.1 * CAST(ws_item_rev@2 AS Float64) AS Decimal128(30, 15)) AND CAST(ws_item_rev@2 AS Decimal128(30, 15)) >= CAST(0.9 * CAST(ss_item_rev@0 AS Float64) AS Decimal128(30, 15)) AND CAST(ws_item_rev@2 AS Decimal128(30, 15)) <= CAST(1.1 * CAST(ss_item_rev@0 AS Float64) AS Decimal128(30, 15)) AND CAST(ws_item_rev@2 AS Decimal128(30, 15)) >= CAST(0.9 * CAST(cs_item_rev@1 AS Float64) AS Decimal128(30, 15)) AND CAST(ws_item_rev@2 AS Decimal128(30, 15)) <= CAST(1.1 * CAST(cs_item_rev@1 AS Float64) AS Decimal128(30, 15)), projection=[ss_item_rev@3, cs_item_rev@4, ws_item_rev@1, item_id@2]
          │         CoalescePartitionsExec
          │           [Stage 6] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=6, input_tasks=2
          │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(item_id@0, item_id@0)], filter=CAST(ss_item_rev@0 AS Decimal128(30, 15)) >= CAST(0.9 * CAST(cs_item_rev@1 AS Float64) AS Decimal128(30, 15)) AND CAST(ss_item_rev@0 AS Decimal128(30, 15)) <= CAST(1.1 * CAST(cs_item_rev@1 AS Float64) AS Decimal128(30, 15)) AND CAST(cs_item_rev@1 AS Decimal128(30, 15)) >= CAST(0.9 * CAST(ss_item_rev@0 AS Float64) AS Decimal128(30, 15)) AND CAST(cs_item_rev@1 AS Decimal128(30, 15)) <= CAST(1.1 * CAST(ss_item_rev@0 AS Float64) AS Decimal128(30, 15)), projection=[item_id@2, ss_item_rev@3, cs_item_rev@1]
          │           CoalescePartitionsExec
          │             [Stage 12] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=6, input_tasks=2
          │           ProjectionExec: expr=[i_item_id@0 as item_id, sum(store_sales.ss_ext_sales_price)@1 as ss_item_rev]
          │             AggregateExec: mode=FinalPartitioned, gby=[i_item_id@0 as i_item_id], aggr=[sum(store_sales.ss_ext_sales_price)]
          │               [Stage 17] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 6 ── Tasks: t0:[p0..p5] t1:[p6..p11]
            │ BroadcastExec: input_partitions=3, consumer_tasks=2, output_partitions=6
            │   ProjectionExec: expr=[i_item_id@0 as item_id, sum(web_sales.ws_ext_sales_price)@1 as ws_item_rev]
            │     AggregateExec: mode=FinalPartitioned, gby=[i_item_id@0 as i_item_id], aggr=[sum(web_sales.ws_ext_sales_price)]
            │       [Stage 5] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            └──────────────────────────────────────────────────
              ┌───── Stage 5 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
              │ RepartitionExec: partitioning=Hash([i_item_id@0], 6), input_partitions=3
              │   AggregateExec: mode=Partial, gby=[i_item_id@1 as i_item_id], aggr=[sum(web_sales.ws_ext_sales_price)]
              │     HashJoinExec: mode=CollectLeft, join_type=RightSemi, on=[(d_date@0, d_date@2)], projection=[ws_ext_sales_price@0, i_item_id@1]
              │       CoalescePartitionsExec
              │         [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
              │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ws_sold_date_sk@0)], projection=[ws_ext_sales_price@3, i_item_id@4, d_date@1]
              │         CoalescePartitionsExec
              │           [Stage 3] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
              │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, ws_item_sk@1)], projection=[ws_sold_date_sk@2, ws_ext_sales_price@4, i_item_id@1]
              │           CoalescePartitionsExec
              │             [Stage 4] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
              │           DistributedLeafExec:
              │             t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │             t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │             t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │             t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
                ┌───── Stage 2 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_week_seq@0, d_week_seq@1)], projection=[d_date@1]
                │     CoalescePartitionsExec
                │       [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
                │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date, d_week_seq], file_type=parquet, predicate=DynamicFilter [ empty ]
                │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date, d_week_seq], file_type=parquet, predicate=DynamicFilter [ empty ]
                │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date, d_week_seq], file_type=parquet, predicate=DynamicFilter [ empty ]
                │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date, d_week_seq], file_type=parquet, predicate=DynamicFilter [ empty ]
                └──────────────────────────────────────────────────
                  ┌───── Stage 1 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                  │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                  │   FilterExec: d_date@0 = 2000-01-03, projection=[d_week_seq@1]
                  │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                  │       DistributedLeafExec:
                  │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date, d_week_seq], file_type=parquet, predicate=d_date@2 = 2000-01-03, pruning_predicate=d_date_null_count@2 != row_count@3 AND d_date_min@0 <= 2000-01-03 AND 2000-01-03 <= d_date_max@1, required_guarantees=[d_date in (2000-01-03)]
                  │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date, d_week_seq], file_type=parquet, predicate=d_date@2 = 2000-01-03, pruning_predicate=d_date_null_count@2 != row_count@3 AND d_date_min@0 <= 2000-01-03 AND 2000-01-03 <= d_date_max@1, required_guarantees=[d_date in (2000-01-03)]
                  │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date, d_week_seq], file_type=parquet, predicate=d_date@2 = 2000-01-03, pruning_predicate=d_date_null_count@2 != row_count@3 AND d_date_min@0 <= 2000-01-03 AND 2000-01-03 <= d_date_max@1, required_guarantees=[d_date in (2000-01-03)]
                  │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date, d_week_seq], file_type=parquet, predicate=d_date@2 = 2000-01-03, pruning_predicate=d_date_null_count@2 != row_count@3 AND d_date_min@0 <= 2000-01-03 AND 2000-01-03 <= d_date_max@1, required_guarantees=[d_date in (2000-01-03)]
                  └──────────────────────────────────────────────────
                ┌───── Stage 3 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                │   DistributedLeafExec:
                │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=DynamicFilter [ empty ]
                │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=DynamicFilter [ empty ]
                │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=DynamicFilter [ empty ]
                │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=DynamicFilter [ empty ]
                └──────────────────────────────────────────────────
                ┌───── Stage 4 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                │   DistributedLeafExec:
                │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet
                │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet
                │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet
                │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet
                └──────────────────────────────────────────────────
            ┌───── Stage 12 ── Tasks: t0:[p0..p5] t1:[p6..p11]
            │ BroadcastExec: input_partitions=3, consumer_tasks=2, output_partitions=6
            │   ProjectionExec: expr=[i_item_id@0 as item_id, sum(catalog_sales.cs_ext_sales_price)@1 as cs_item_rev]
            │     AggregateExec: mode=FinalPartitioned, gby=[i_item_id@0 as i_item_id], aggr=[sum(catalog_sales.cs_ext_sales_price)]
            │       [Stage 11] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            └──────────────────────────────────────────────────
              ┌───── Stage 11 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
              │ RepartitionExec: partitioning=Hash([i_item_id@0], 6), input_partitions=3
              │   AggregateExec: mode=Partial, gby=[i_item_id@1 as i_item_id], aggr=[sum(catalog_sales.cs_ext_sales_price)]
              │     HashJoinExec: mode=CollectLeft, join_type=RightSemi, on=[(d_date@0, d_date@2)], projection=[cs_ext_sales_price@0, i_item_id@1]
              │       CoalescePartitionsExec
              │         [Stage 8] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
              │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, cs_sold_date_sk@0)], projection=[cs_ext_sales_price@3, i_item_id@4, d_date@1]
              │         CoalescePartitionsExec
              │           [Stage 9] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
              │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, cs_item_sk@1)], projection=[cs_sold_date_sk@2, cs_ext_sales_price@4, i_item_id@1]
              │           CoalescePartitionsExec
              │             [Stage 10] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
              │           DistributedLeafExec:
              │             t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_item_sk, cs_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │             t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_item_sk, cs_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │             t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_item_sk, cs_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │             t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_item_sk, cs_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
                ┌───── Stage 8 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_week_seq@0, d_week_seq@1)], projection=[d_date@1]
                │     CoalescePartitionsExec
                │       [Stage 7] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
                │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date, d_week_seq], file_type=parquet, predicate=DynamicFilter [ empty ]
                │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date, d_week_seq], file_type=parquet, predicate=DynamicFilter [ empty ]
                │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date, d_week_seq], file_type=parquet, predicate=DynamicFilter [ empty ]
                │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date, d_week_seq], file_type=parquet, predicate=DynamicFilter [ empty ]
                └──────────────────────────────────────────────────
                  ┌───── Stage 7 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                  │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                  │   FilterExec: d_date@0 = 2000-01-03, projection=[d_week_seq@1]
                  │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                  │       DistributedLeafExec:
                  │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date, d_week_seq], file_type=parquet, predicate=d_date@2 = 2000-01-03, pruning_predicate=d_date_null_count@2 != row_count@3 AND d_date_min@0 <= 2000-01-03 AND 2000-01-03 <= d_date_max@1, required_guarantees=[d_date in (2000-01-03)]
                  │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date, d_week_seq], file_type=parquet, predicate=d_date@2 = 2000-01-03, pruning_predicate=d_date_null_count@2 != row_count@3 AND d_date_min@0 <= 2000-01-03 AND 2000-01-03 <= d_date_max@1, required_guarantees=[d_date in (2000-01-03)]
                  │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date, d_week_seq], file_type=parquet, predicate=d_date@2 = 2000-01-03, pruning_predicate=d_date_null_count@2 != row_count@3 AND d_date_min@0 <= 2000-01-03 AND 2000-01-03 <= d_date_max@1, required_guarantees=[d_date in (2000-01-03)]
                  │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date, d_week_seq], file_type=parquet, predicate=d_date@2 = 2000-01-03, pruning_predicate=d_date_null_count@2 != row_count@3 AND d_date_min@0 <= 2000-01-03 AND 2000-01-03 <= d_date_max@1, required_guarantees=[d_date in (2000-01-03)]
                  └──────────────────────────────────────────────────
                ┌───── Stage 9 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                │   DistributedLeafExec:
                │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=DynamicFilter [ empty ]
                │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=DynamicFilter [ empty ]
                │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=DynamicFilter [ empty ]
                │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=DynamicFilter [ empty ]
                └──────────────────────────────────────────────────
                ┌───── Stage 10 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                │   DistributedLeafExec:
                │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet
                │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet
                │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet
                │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet
                └──────────────────────────────────────────────────
            ┌───── Stage 17 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([i_item_id@0], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[i_item_id@1 as i_item_id], aggr=[sum(store_sales.ss_ext_sales_price)]
            │     HashJoinExec: mode=CollectLeft, join_type=RightSemi, on=[(d_date@0, d_date@2)], projection=[ss_ext_sales_price@0, i_item_id@1]
            │       CoalescePartitionsExec
            │         [Stage 14] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[ss_ext_sales_price@3, i_item_id@4, d_date@1]
            │         CoalescePartitionsExec
            │           [Stage 15] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, ss_item_sk@1)], projection=[ss_sold_date_sk@2, ss_ext_sales_price@4, i_item_id@1]
            │           CoalescePartitionsExec
            │             [Stage 16] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │           DistributedLeafExec:
            │             t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 14 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_week_seq@0, d_week_seq@1)], projection=[d_date@1]
              │     CoalescePartitionsExec
              │       [Stage 13] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date, d_week_seq], file_type=parquet, predicate=DynamicFilter [ empty ]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date, d_week_seq], file_type=parquet, predicate=DynamicFilter [ empty ]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date, d_week_seq], file_type=parquet, predicate=DynamicFilter [ empty ]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date, d_week_seq], file_type=parquet, predicate=DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
                ┌───── Stage 13 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                │   FilterExec: d_date@0 = 2000-01-03, projection=[d_week_seq@1]
                │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date, d_week_seq], file_type=parquet, predicate=d_date@2 = 2000-01-03, pruning_predicate=d_date_null_count@2 != row_count@3 AND d_date_min@0 <= 2000-01-03 AND 2000-01-03 <= d_date_max@1, required_guarantees=[d_date in (2000-01-03)]
                │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date, d_week_seq], file_type=parquet, predicate=d_date@2 = 2000-01-03, pruning_predicate=d_date_null_count@2 != row_count@3 AND d_date_min@0 <= 2000-01-03 AND 2000-01-03 <= d_date_max@1, required_guarantees=[d_date in (2000-01-03)]
                │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date, d_week_seq], file_type=parquet, predicate=d_date@2 = 2000-01-03, pruning_predicate=d_date_null_count@2 != row_count@3 AND d_date_min@0 <= 2000-01-03 AND 2000-01-03 <= d_date_max@1, required_guarantees=[d_date in (2000-01-03)]
                │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date, d_week_seq], file_type=parquet, predicate=d_date@2 = 2000-01-03, pruning_predicate=d_date_null_count@2 != row_count@3 AND d_date_min@0 <= 2000-01-03 AND 2000-01-03 <= d_date_max@1, required_guarantees=[d_date in (2000-01-03)]
                └──────────────────────────────────────────────────
              ┌───── Stage 15 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
              ┌───── Stage 16 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_59() -> Result<()> {
        let display = test_tpcds_query("q59").await?;
        assert_snapshot!(display, @r#"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [s_store_name1@0 ASC, s_store_id1@1 ASC, d_week_seq1@2 ASC], fetch=100
        │   [Stage 10] => NetworkCoalesceExec: output_partitions=12, input_tasks=4
        └──────────────────────────────────────────────────
          ┌───── Stage 10 ── Tasks: t0:[p0..p2] t1:[p0..p2] t2:[p0..p2] t3:[p0..p2]
          │ SortExec: TopK(fetch=100), expr=[s_store_name1@0 ASC, s_store_id1@1 ASC, d_week_seq1@2 ASC], preserve_partitioning=[true]
          │   ProjectionExec: expr=[s_store_name1@0 as s_store_name1, s_store_id1@1 as s_store_id1, d_week_seq1@2 as d_week_seq1, sun_sales1@3 / sun_sales2@4 as sun_sales_ratio, mon_sales1@5 / mon_sales2@6 as mon_sales_ratio, tue_sales1@7 / tue_sales2@8 as tue_sales_ratio, wed_sales1@9 / wed_sales2@10 as wed_sales_ratio, thu_sales1@11 / thu_sales2@12 as thu_sales_ratio, fri_sales1@13 / fri_sales2@14 as fri_sales_ratio, sat_sales1@15 / sat_sales2@16 as sat_sales_ratio]
          │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(s_store_id1@2, s_store_id2@1), (CAST(y.d_week_seq1 AS Int64)@10, x.d_week_seq2 - Int64(52)@9)], projection=[s_store_name1@0, s_store_id1@2, d_week_seq1@1, sun_sales1@3, sun_sales2@13, mon_sales1@4, mon_sales2@14, tue_sales1@5, tue_sales2@15, wed_sales1@6, wed_sales2@16, thu_sales1@7, thu_sales2@17, fri_sales1@8, fri_sales2@18, sat_sales1@9, sat_sales2@19]
          │       CoalescePartitionsExec
          │         [Stage 5] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
          │       ProjectionExec: expr=[d_week_seq@0 as d_week_seq2, s_store_id@1 as s_store_id2, sun_sales@2 as sun_sales2, mon_sales@3 as mon_sales2, tue_sales@4 as tue_sales2, wed_sales@5 as wed_sales2, thu_sales@6 as thu_sales2, fri_sales@7 as fri_sales2, sat_sales@8 as sat_sales2, CAST(d_week_seq@0 AS Int64) - 52 as x.d_week_seq2 - Int64(52)]
          │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_week_seq@0, d_week_seq@0)], projection=[d_week_seq@1, s_store_id@9, sun_sales@2, mon_sales@3, tue_sales@4, wed_sales@5, thu_sales@6, fri_sales@7, sat_sales@8]
          │           CoalescePartitionsExec
          │             [Stage 6] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
          │           HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(s_store_sk@0, ss_store_sk@1)], projection=[d_week_seq@2, sun_sales@4, mon_sales@5, tue_sales@6, wed_sales@7, thu_sales@8, fri_sales@9, sat_sales@10, s_store_id@1]
          │             CoalescePartitionsExec
          │               [Stage 7] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
          │             ProjectionExec: expr=[d_week_seq@0 as d_week_seq, ss_store_sk@1 as ss_store_sk, sum(CASE WHEN date_dim.d_day_name = Utf8("Sunday") THEN store_sales.ss_sales_price ELSE NULL END)@2 as sun_sales, sum(CASE WHEN date_dim.d_day_name = Utf8("Monday") THEN store_sales.ss_sales_price ELSE NULL END)@3 as mon_sales, sum(CASE WHEN date_dim.d_day_name = Utf8("Tuesday") THEN store_sales.ss_sales_price ELSE NULL END)@4 as tue_sales, sum(CASE WHEN date_dim.d_day_name = Utf8("Wednesday") THEN store_sales.ss_sales_price ELSE NULL END)@5 as wed_sales, sum(CASE WHEN date_dim.d_day_name = Utf8("Thursday") THEN store_sales.ss_sales_price ELSE NULL END)@6 as thu_sales, sum(CASE WHEN date_dim.d_day_name = Utf8("Friday") THEN store_sales.ss_sales_price ELSE NULL END)@7 as fri_sales, sum(CASE WHEN date_dim.d_day_name = Utf8("Saturday") THEN store_sales.ss_sales_price ELSE NULL END)@8 as sat_sales]
          │               AggregateExec: mode=FinalPartitioned, gby=[d_week_seq@0 as d_week_seq, ss_store_sk@1 as ss_store_sk], aggr=[sum(CASE WHEN date_dim.d_day_name = Sunday THEN store_sales.ss_sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Sunday") THEN store_sales.ss_sales_price ELSE NULL END), sum(CASE WHEN date_dim.d_day_name = Monday THEN store_sales.ss_sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Monday") THEN store_sales.ss_sales_price ELSE NULL END), sum(CASE WHEN date_dim.d_day_name = Tuesday THEN store_sales.ss_sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Tuesday") THEN store_sales.ss_sales_price ELSE NULL END), sum(CASE WHEN date_dim.d_day_name = Wednesday THEN store_sales.ss_sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Wednesday") THEN store_sales.ss_sales_price ELSE NULL END), sum(CASE WHEN date_dim.d_day_name = Thursday THEN store_sales.ss_sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Thursday") THEN store_sales.ss_sales_price ELSE NULL END), sum(CASE WHEN date_dim.d_day_name = Friday THEN store_sales.ss_sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Friday") THEN store_sales.ss_sales_price ELSE NULL END), sum(CASE WHEN date_dim.d_day_name = Saturday THEN store_sales.ss_sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Saturday") THEN store_sales.ss_sales_price ELSE NULL END)]
          │                 [Stage 9] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 5 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   ProjectionExec: expr=[s_store_name@0 as s_store_name1, d_week_seq@1 as d_week_seq1, s_store_id@2 as s_store_id1, sun_sales@3 as sun_sales1, mon_sales@4 as mon_sales1, tue_sales@5 as tue_sales1, wed_sales@6 as wed_sales1, thu_sales@7 as thu_sales1, fri_sales@8 as fri_sales1, sat_sales@9 as sat_sales1, CAST(d_week_seq@1 AS Int64) as CAST(y.d_week_seq1 AS Int64)]
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_week_seq@0, d_week_seq@0)], projection=[s_store_name@10, d_week_seq@1, s_store_id@9, sun_sales@2, mon_sales@3, tue_sales@4, wed_sales@5, thu_sales@6, fri_sales@7, sat_sales@8]
            │       CoalescePartitionsExec
            │         [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(s_store_sk@0, ss_store_sk@1)], projection=[d_week_seq@3, sun_sales@5, mon_sales@6, tue_sales@7, wed_sales@8, thu_sales@9, fri_sales@10, sat_sales@11, s_store_id@1, s_store_name@2]
            │         CoalescePartitionsExec
            │           [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │         ProjectionExec: expr=[d_week_seq@0 as d_week_seq, ss_store_sk@1 as ss_store_sk, sum(CASE WHEN date_dim.d_day_name = Utf8("Sunday") THEN store_sales.ss_sales_price ELSE NULL END)@2 as sun_sales, sum(CASE WHEN date_dim.d_day_name = Utf8("Monday") THEN store_sales.ss_sales_price ELSE NULL END)@3 as mon_sales, sum(CASE WHEN date_dim.d_day_name = Utf8("Tuesday") THEN store_sales.ss_sales_price ELSE NULL END)@4 as tue_sales, sum(CASE WHEN date_dim.d_day_name = Utf8("Wednesday") THEN store_sales.ss_sales_price ELSE NULL END)@5 as wed_sales, sum(CASE WHEN date_dim.d_day_name = Utf8("Thursday") THEN store_sales.ss_sales_price ELSE NULL END)@6 as thu_sales, sum(CASE WHEN date_dim.d_day_name = Utf8("Friday") THEN store_sales.ss_sales_price ELSE NULL END)@7 as fri_sales, sum(CASE WHEN date_dim.d_day_name = Utf8("Saturday") THEN store_sales.ss_sales_price ELSE NULL END)@8 as sat_sales]
            │           AggregateExec: mode=FinalPartitioned, gby=[d_week_seq@0 as d_week_seq, ss_store_sk@1 as ss_store_sk], aggr=[sum(CASE WHEN date_dim.d_day_name = Sunday THEN store_sales.ss_sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Sunday") THEN store_sales.ss_sales_price ELSE NULL END), sum(CASE WHEN date_dim.d_day_name = Monday THEN store_sales.ss_sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Monday") THEN store_sales.ss_sales_price ELSE NULL END), sum(CASE WHEN date_dim.d_day_name = Tuesday THEN store_sales.ss_sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Tuesday") THEN store_sales.ss_sales_price ELSE NULL END), sum(CASE WHEN date_dim.d_day_name = Wednesday THEN store_sales.ss_sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Wednesday") THEN store_sales.ss_sales_price ELSE NULL END), sum(CASE WHEN date_dim.d_day_name = Thursday THEN store_sales.ss_sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Thursday") THEN store_sales.ss_sales_price ELSE NULL END), sum(CASE WHEN date_dim.d_day_name = Friday THEN store_sales.ss_sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Friday") THEN store_sales.ss_sales_price ELSE NULL END), sum(CASE WHEN date_dim.d_day_name = Saturday THEN store_sales.ss_sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Saturday") THEN store_sales.ss_sales_price ELSE NULL END)]
            │             [Stage 4] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            └──────────────────────────────────────────────────
              ┌───── Stage 1 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_month_seq@0 >= 1212 AND d_month_seq@0 <= 1223, projection=[d_week_seq@1]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_month_seq, d_week_seq], file_type=parquet, predicate=d_month_seq@3 >= 1212 AND d_month_seq@3 <= 1223, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1212 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1223, required_guarantees=[]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_month_seq, d_week_seq], file_type=parquet, predicate=d_month_seq@3 >= 1212 AND d_month_seq@3 <= 1223, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1212 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1223, required_guarantees=[]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_month_seq, d_week_seq], file_type=parquet, predicate=d_month_seq@3 >= 1212 AND d_month_seq@3 <= 1223, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1212 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1223, required_guarantees=[]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_month_seq, d_week_seq], file_type=parquet, predicate=d_month_seq@3 >= 1212 AND d_month_seq@3 <= 1223, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1212 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1223, required_guarantees=[]
              └──────────────────────────────────────────────────
              ┌───── Stage 2 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_id, s_store_name], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_id, s_store_name], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_id, s_store_name], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_id, s_store_name], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 4 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
              │ RepartitionExec: partitioning=Hash([d_week_seq@0, ss_store_sk@1], 12), input_partitions=3
              │   AggregateExec: mode=Partial, gby=[d_week_seq@2 as d_week_seq, ss_store_sk@0 as ss_store_sk], aggr=[sum(CASE WHEN date_dim.d_day_name = Sunday THEN store_sales.ss_sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Sunday") THEN store_sales.ss_sales_price ELSE NULL END), sum(CASE WHEN date_dim.d_day_name = Monday THEN store_sales.ss_sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Monday") THEN store_sales.ss_sales_price ELSE NULL END), sum(CASE WHEN date_dim.d_day_name = Tuesday THEN store_sales.ss_sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Tuesday") THEN store_sales.ss_sales_price ELSE NULL END), sum(CASE WHEN date_dim.d_day_name = Wednesday THEN store_sales.ss_sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Wednesday") THEN store_sales.ss_sales_price ELSE NULL END), sum(CASE WHEN date_dim.d_day_name = Thursday THEN store_sales.ss_sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Thursday") THEN store_sales.ss_sales_price ELSE NULL END), sum(CASE WHEN date_dim.d_day_name = Friday THEN store_sales.ss_sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Friday") THEN store_sales.ss_sales_price ELSE NULL END), sum(CASE WHEN date_dim.d_day_name = Saturday THEN store_sales.ss_sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Saturday") THEN store_sales.ss_sales_price ELSE NULL END)]
              │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[ss_store_sk@4, ss_sales_price@5, d_week_seq@1, d_day_name@2]
              │       CoalescePartitionsExec
              │         [Stage 3] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_store_sk, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │         t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_store_sk, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │         t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_store_sk, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │         t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_store_sk, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
                ┌───── Stage 3 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                │   DistributedLeafExec:
                │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_week_seq, d_day_name], file_type=parquet, predicate=DynamicFilter [ empty ]
                │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_week_seq, d_day_name], file_type=parquet, predicate=DynamicFilter [ empty ]
                │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_week_seq, d_day_name], file_type=parquet, predicate=DynamicFilter [ empty ]
                │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_week_seq, d_day_name], file_type=parquet, predicate=DynamicFilter [ empty ]
                └──────────────────────────────────────────────────
            ┌───── Stage 6 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   FilterExec: d_month_seq@0 >= 1224 AND d_month_seq@0 <= 1235, projection=[d_week_seq@1]
            │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_month_seq, d_week_seq], file_type=parquet, predicate=d_month_seq@3 >= 1224 AND d_month_seq@3 <= 1235, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1224 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1235, required_guarantees=[]
            │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_month_seq, d_week_seq], file_type=parquet, predicate=d_month_seq@3 >= 1224 AND d_month_seq@3 <= 1235, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1224 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1235, required_guarantees=[]
            │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_month_seq, d_week_seq], file_type=parquet, predicate=d_month_seq@3 >= 1224 AND d_month_seq@3 <= 1235, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1224 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1235, required_guarantees=[]
            │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_month_seq, d_week_seq], file_type=parquet, predicate=d_month_seq@3 >= 1224 AND d_month_seq@3 <= 1235, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1224 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1235, required_guarantees=[]
            └──────────────────────────────────────────────────
            ┌───── Stage 7 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
            │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
            │   DistributedLeafExec:
            │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_id], file_type=parquet
            │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_id], file_type=parquet
            │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_id], file_type=parquet
            │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_id], file_type=parquet
            └──────────────────────────────────────────────────
            ┌───── Stage 9 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
            │ RepartitionExec: partitioning=Hash([d_week_seq@0, ss_store_sk@1], 12), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[d_week_seq@2 as d_week_seq, ss_store_sk@0 as ss_store_sk], aggr=[sum(CASE WHEN date_dim.d_day_name = Sunday THEN store_sales.ss_sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Sunday") THEN store_sales.ss_sales_price ELSE NULL END), sum(CASE WHEN date_dim.d_day_name = Monday THEN store_sales.ss_sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Monday") THEN store_sales.ss_sales_price ELSE NULL END), sum(CASE WHEN date_dim.d_day_name = Tuesday THEN store_sales.ss_sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Tuesday") THEN store_sales.ss_sales_price ELSE NULL END), sum(CASE WHEN date_dim.d_day_name = Wednesday THEN store_sales.ss_sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Wednesday") THEN store_sales.ss_sales_price ELSE NULL END), sum(CASE WHEN date_dim.d_day_name = Thursday THEN store_sales.ss_sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Thursday") THEN store_sales.ss_sales_price ELSE NULL END), sum(CASE WHEN date_dim.d_day_name = Friday THEN store_sales.ss_sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Friday") THEN store_sales.ss_sales_price ELSE NULL END), sum(CASE WHEN date_dim.d_day_name = Saturday THEN store_sales.ss_sales_price ELSE None,7,2 END) as sum(CASE WHEN date_dim.d_day_name = Utf8("Saturday") THEN store_sales.ss_sales_price ELSE NULL END)]
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[ss_store_sk@4, ss_sales_price@5, d_week_seq@1, d_day_name@2]
            │       CoalescePartitionsExec
            │         [Stage 8] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_store_sk, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │         t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_store_sk, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │         t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_store_sk, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │         t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_store_sk, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 8 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_week_seq, d_day_name], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_week_seq, d_day_name], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_week_seq, d_day_name], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_week_seq, d_day_name], file_type=parquet, predicate=DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
        "#);
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_60() -> Result<()> {
        let display = test_tpcds_query("q60").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [i_item_id@0 ASC NULLS LAST], fetch=100
        │   [Stage 16] => NetworkCoalesceExec: output_partitions=6, input_tasks=2
        └──────────────────────────────────────────────────
          ┌───── Stage 16 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ SortExec: TopK(fetch=100), expr=[i_item_id@0 ASC NULLS LAST], preserve_partitioning=[true]
          │   ProjectionExec: expr=[i_item_id@0 as i_item_id, sum(tmp1.total_sales)@1 as total_sales]
          │     AggregateExec: mode=SinglePartitioned, gby=[i_item_id@0 as i_item_id], aggr=[sum(tmp1.total_sales)]
          │       InterleaveExec
          │         ProjectionExec: expr=[i_item_id@0 as i_item_id, sum(store_sales.ss_ext_sales_price)@1 as total_sales]
          │           AggregateExec: mode=FinalPartitioned, gby=[i_item_id@0 as i_item_id], aggr=[sum(store_sales.ss_ext_sales_price)]
          │             [Stage 5] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          │         ProjectionExec: expr=[i_item_id@0 as i_item_id, sum(catalog_sales.cs_ext_sales_price)@1 as total_sales]
          │           AggregateExec: mode=FinalPartitioned, gby=[i_item_id@0 as i_item_id], aggr=[sum(catalog_sales.cs_ext_sales_price)]
          │             [Stage 10] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          │         ProjectionExec: expr=[i_item_id@0 as i_item_id, sum(web_sales.ws_ext_sales_price)@1 as total_sales]
          │           AggregateExec: mode=FinalPartitioned, gby=[i_item_id@0 as i_item_id], aggr=[sum(web_sales.ws_ext_sales_price)]
          │             [Stage 15] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 5 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([i_item_id@0], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[i_item_id@1 as i_item_id], aggr=[sum(store_sales.ss_ext_sales_price)]
            │     HashJoinExec: mode=CollectLeft, join_type=RightSemi, on=[(i_item_id@0, i_item_id@1)]
            │       CoalescePartitionsExec
            │         [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, ss_item_sk@0)], projection=[ss_ext_sales_price@3, i_item_id@1]
            │         CoalescePartitionsExec
            │           [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(ca_address_sk@0, ss_addr_sk@1)], projection=[ss_item_sk@1, ss_ext_sales_price@3]
            │           CoalescePartitionsExec
            │             [Stage 3] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │           HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[ss_item_sk@2, ss_addr_sk@3, ss_ext_sales_price@4]
            │             CoalescePartitionsExec
            │               [Stage 4] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │             DistributedLeafExec:
            │               t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_addr_sk, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │               t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_addr_sk, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │               t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_addr_sk, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │               t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_addr_sk, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 1 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: i_category@1 = Music, projection=[i_item_id@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_id, i_category], file_type=parquet, predicate=i_category@12 = Music, pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Music AND Music <= i_category_max@1, required_guarantees=[i_category in (Music)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_id, i_category], file_type=parquet, predicate=i_category@12 = Music, pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Music AND Music <= i_category_max@1, required_guarantees=[i_category in (Music)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_id, i_category], file_type=parquet, predicate=i_category@12 = Music, pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Music AND Music <= i_category_max@1, required_guarantees=[i_category in (Music)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_id, i_category], file_type=parquet, predicate=i_category@12 = Music, pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Music AND Music <= i_category_max@1, required_guarantees=[i_category in (Music)]
              └──────────────────────────────────────────────────
              ┌───── Stage 2 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet, predicate=DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
              ┌───── Stage 3 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: ca_gmt_offset@1 = Some(-500),5,2, projection=[ca_address_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_gmt_offset], file_type=parquet, predicate=ca_gmt_offset@11 = Some(-500),5,2, pruning_predicate=ca_gmt_offset_null_count@2 != row_count@3 AND ca_gmt_offset_min@0 <= Some(-500),5,2 AND Some(-500),5,2 <= ca_gmt_offset_max@1, required_guarantees=[ca_gmt_offset in (Some(-500),5,2)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_gmt_offset], file_type=parquet, predicate=ca_gmt_offset@11 = Some(-500),5,2, pruning_predicate=ca_gmt_offset_null_count@2 != row_count@3 AND ca_gmt_offset_min@0 <= Some(-500),5,2 AND Some(-500),5,2 <= ca_gmt_offset_max@1, required_guarantees=[ca_gmt_offset in (Some(-500),5,2)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_gmt_offset], file_type=parquet, predicate=ca_gmt_offset@11 = Some(-500),5,2, pruning_predicate=ca_gmt_offset_null_count@2 != row_count@3 AND ca_gmt_offset_min@0 <= Some(-500),5,2 AND Some(-500),5,2 <= ca_gmt_offset_max@1, required_guarantees=[ca_gmt_offset in (Some(-500),5,2)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_gmt_offset], file_type=parquet, predicate=ca_gmt_offset@11 = Some(-500),5,2, pruning_predicate=ca_gmt_offset_null_count@2 != row_count@3 AND ca_gmt_offset_min@0 <= Some(-500),5,2 AND Some(-500),5,2 <= ca_gmt_offset_max@1, required_guarantees=[ca_gmt_offset in (Some(-500),5,2)]
              └──────────────────────────────────────────────────
              ┌───── Stage 4 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_year@1 = 1998 AND d_moy@2 = 9, projection=[d_date_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1998 AND d_moy@8 = 9, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 9 AND 9 <= d_moy_max@5, required_guarantees=[d_moy in (9), d_year in (1998)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1998 AND d_moy@8 = 9, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 9 AND 9 <= d_moy_max@5, required_guarantees=[d_moy in (9), d_year in (1998)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1998 AND d_moy@8 = 9, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 9 AND 9 <= d_moy_max@5, required_guarantees=[d_moy in (9), d_year in (1998)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1998 AND d_moy@8 = 9, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 9 AND 9 <= d_moy_max@5, required_guarantees=[d_moy in (9), d_year in (1998)]
              └──────────────────────────────────────────────────
            ┌───── Stage 10 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([i_item_id@0], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[i_item_id@1 as i_item_id], aggr=[sum(catalog_sales.cs_ext_sales_price)]
            │     HashJoinExec: mode=CollectLeft, join_type=RightSemi, on=[(i_item_id@0, i_item_id@1)]
            │       CoalescePartitionsExec
            │         [Stage 6] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(cs_item_sk@0, i_item_sk@0)], projection=[cs_ext_sales_price@1, i_item_id@3]
            │         CoalescePartitionsExec
            │           [Stage 9] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │         RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │           DistributedLeafExec:
            │             t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 6 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: i_category@1 = Music, projection=[i_item_id@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_id, i_category], file_type=parquet, predicate=i_category@12 = Music, pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Music AND Music <= i_category_max@1, required_guarantees=[i_category in (Music)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_id, i_category], file_type=parquet, predicate=i_category@12 = Music, pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Music AND Music <= i_category_max@1, required_guarantees=[i_category in (Music)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_id, i_category], file_type=parquet, predicate=i_category@12 = Music, pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Music AND Music <= i_category_max@1, required_guarantees=[i_category in (Music)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_id, i_category], file_type=parquet, predicate=i_category@12 = Music, pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Music AND Music <= i_category_max@1, required_guarantees=[i_category in (Music)]
              └──────────────────────────────────────────────────
              ┌───── Stage 9 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(ca_address_sk@0, cs_bill_addr_sk@0)], projection=[cs_item_sk@2, cs_ext_sales_price@3]
              │     CoalescePartitionsExec
              │       [Stage 7] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
              │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, cs_sold_date_sk@0)], projection=[cs_bill_addr_sk@2, cs_item_sk@3, cs_ext_sales_price@4]
              │       CoalescePartitionsExec
              │         [Stage 8] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_bill_addr_sk, cs_item_sk, cs_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │         t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_bill_addr_sk, cs_item_sk, cs_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │         t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_bill_addr_sk, cs_item_sk, cs_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │         t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_bill_addr_sk, cs_item_sk, cs_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
                ┌───── Stage 7 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                │   FilterExec: ca_gmt_offset@1 = Some(-500),5,2, projection=[ca_address_sk@0]
                │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_gmt_offset], file_type=parquet, predicate=ca_gmt_offset@11 = Some(-500),5,2, pruning_predicate=ca_gmt_offset_null_count@2 != row_count@3 AND ca_gmt_offset_min@0 <= Some(-500),5,2 AND Some(-500),5,2 <= ca_gmt_offset_max@1, required_guarantees=[ca_gmt_offset in (Some(-500),5,2)]
                │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_gmt_offset], file_type=parquet, predicate=ca_gmt_offset@11 = Some(-500),5,2, pruning_predicate=ca_gmt_offset_null_count@2 != row_count@3 AND ca_gmt_offset_min@0 <= Some(-500),5,2 AND Some(-500),5,2 <= ca_gmt_offset_max@1, required_guarantees=[ca_gmt_offset in (Some(-500),5,2)]
                │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_gmt_offset], file_type=parquet, predicate=ca_gmt_offset@11 = Some(-500),5,2, pruning_predicate=ca_gmt_offset_null_count@2 != row_count@3 AND ca_gmt_offset_min@0 <= Some(-500),5,2 AND Some(-500),5,2 <= ca_gmt_offset_max@1, required_guarantees=[ca_gmt_offset in (Some(-500),5,2)]
                │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_gmt_offset], file_type=parquet, predicate=ca_gmt_offset@11 = Some(-500),5,2, pruning_predicate=ca_gmt_offset_null_count@2 != row_count@3 AND ca_gmt_offset_min@0 <= Some(-500),5,2 AND Some(-500),5,2 <= ca_gmt_offset_max@1, required_guarantees=[ca_gmt_offset in (Some(-500),5,2)]
                └──────────────────────────────────────────────────
                ┌───── Stage 8 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                │   FilterExec: d_year@1 = 1998 AND d_moy@2 = 9, projection=[d_date_sk@0]
                │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1998 AND d_moy@8 = 9, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 9 AND 9 <= d_moy_max@5, required_guarantees=[d_moy in (9), d_year in (1998)]
                │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1998 AND d_moy@8 = 9, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 9 AND 9 <= d_moy_max@5, required_guarantees=[d_moy in (9), d_year in (1998)]
                │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1998 AND d_moy@8 = 9, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 9 AND 9 <= d_moy_max@5, required_guarantees=[d_moy in (9), d_year in (1998)]
                │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1998 AND d_moy@8 = 9, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 9 AND 9 <= d_moy_max@5, required_guarantees=[d_moy in (9), d_year in (1998)]
                └──────────────────────────────────────────────────
            ┌───── Stage 15 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([i_item_id@0], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[i_item_id@1 as i_item_id], aggr=[sum(web_sales.ws_ext_sales_price)]
            │     HashJoinExec: mode=CollectLeft, join_type=RightSemi, on=[(i_item_id@0, i_item_id@1)]
            │       CoalescePartitionsExec
            │         [Stage 11] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(ws_item_sk@0, i_item_sk@0)], projection=[ws_ext_sales_price@1, i_item_id@3]
            │         CoalescePartitionsExec
            │           [Stage 14] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │         RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │           DistributedLeafExec:
            │             t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 11 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: i_category@1 = Music, projection=[i_item_id@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_id, i_category], file_type=parquet, predicate=i_category@12 = Music, pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Music AND Music <= i_category_max@1, required_guarantees=[i_category in (Music)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_id, i_category], file_type=parquet, predicate=i_category@12 = Music, pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Music AND Music <= i_category_max@1, required_guarantees=[i_category in (Music)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_id, i_category], file_type=parquet, predicate=i_category@12 = Music, pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Music AND Music <= i_category_max@1, required_guarantees=[i_category in (Music)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_id, i_category], file_type=parquet, predicate=i_category@12 = Music, pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Music AND Music <= i_category_max@1, required_guarantees=[i_category in (Music)]
              └──────────────────────────────────────────────────
              ┌───── Stage 14 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(ca_address_sk@0, ws_bill_addr_sk@1)], projection=[ws_item_sk@1, ws_ext_sales_price@3]
              │     CoalescePartitionsExec
              │       [Stage 12] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
              │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ws_sold_date_sk@0)], projection=[ws_item_sk@2, ws_bill_addr_sk@3, ws_ext_sales_price@4]
              │       CoalescePartitionsExec
              │         [Stage 13] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_bill_addr_sk, ws_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │         t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_bill_addr_sk, ws_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │         t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_bill_addr_sk, ws_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │         t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_bill_addr_sk, ws_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
                ┌───── Stage 12 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                │   FilterExec: ca_gmt_offset@1 = Some(-500),5,2, projection=[ca_address_sk@0]
                │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_gmt_offset], file_type=parquet, predicate=ca_gmt_offset@11 = Some(-500),5,2, pruning_predicate=ca_gmt_offset_null_count@2 != row_count@3 AND ca_gmt_offset_min@0 <= Some(-500),5,2 AND Some(-500),5,2 <= ca_gmt_offset_max@1, required_guarantees=[ca_gmt_offset in (Some(-500),5,2)]
                │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_gmt_offset], file_type=parquet, predicate=ca_gmt_offset@11 = Some(-500),5,2, pruning_predicate=ca_gmt_offset_null_count@2 != row_count@3 AND ca_gmt_offset_min@0 <= Some(-500),5,2 AND Some(-500),5,2 <= ca_gmt_offset_max@1, required_guarantees=[ca_gmt_offset in (Some(-500),5,2)]
                │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_gmt_offset], file_type=parquet, predicate=ca_gmt_offset@11 = Some(-500),5,2, pruning_predicate=ca_gmt_offset_null_count@2 != row_count@3 AND ca_gmt_offset_min@0 <= Some(-500),5,2 AND Some(-500),5,2 <= ca_gmt_offset_max@1, required_guarantees=[ca_gmt_offset in (Some(-500),5,2)]
                │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_gmt_offset], file_type=parquet, predicate=ca_gmt_offset@11 = Some(-500),5,2, pruning_predicate=ca_gmt_offset_null_count@2 != row_count@3 AND ca_gmt_offset_min@0 <= Some(-500),5,2 AND Some(-500),5,2 <= ca_gmt_offset_max@1, required_guarantees=[ca_gmt_offset in (Some(-500),5,2)]
                └──────────────────────────────────────────────────
                ┌───── Stage 13 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                │   FilterExec: d_year@1 = 1998 AND d_moy@2 = 9, projection=[d_date_sk@0]
                │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1998 AND d_moy@8 = 9, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 9 AND 9 <= d_moy_max@5, required_guarantees=[d_moy in (9), d_year in (1998)]
                │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1998 AND d_moy@8 = 9, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 9 AND 9 <= d_moy_max@5, required_guarantees=[d_moy in (9), d_year in (1998)]
                │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1998 AND d_moy@8 = 9, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 9 AND 9 <= d_moy_max@5, required_guarantees=[d_moy in (9), d_year in (1998)]
                │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1998 AND d_moy@8 = 9, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 9 AND 9 <= d_moy_max@5, required_guarantees=[d_moy in (9), d_year in (1998)]
                └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_61() -> Result<()> {
        let display = test_tpcds_query("q61").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortExec: TopK(fetch=100), expr=[total@1 ASC NULLS LAST], preserve_partitioning=[false]
        │   ProjectionExec: expr=[promotions@0 as promotions, total@1 as total, CAST(promotions@0 AS Decimal128(15, 4)) / CAST(total@1 AS Decimal128(15, 4)) * Some(100),20,0 as promotional_sales.promotions / all_sales.total * Int64(100)]
        │     CrossJoinExec
        │       CoalescePartitionsExec
        │         BroadcastExec: input_partitions=1, consumer_tasks=1, output_partitions=1
        │           ProjectionExec: expr=[sum(store_sales.ss_ext_sales_price)@0 as promotions]
        │             AggregateExec: mode=Final, gby=[], aggr=[sum(store_sales.ss_ext_sales_price)]
        │               CoalescePartitionsExec
        │                 [Stage 7] => NetworkCoalesceExec: output_partitions=12, input_tasks=4
        │       ProjectionExec: expr=[sum(store_sales.ss_ext_sales_price)@0 as total]
        │         AggregateExec: mode=Final, gby=[], aggr=[sum(store_sales.ss_ext_sales_price)]
        │           CoalescePartitionsExec
        │             [Stage 13] => NetworkCoalesceExec: output_partitions=12, input_tasks=4
        └──────────────────────────────────────────────────
          ┌───── Stage 7 ── Tasks: t0:[p0..p2] t1:[p3..p5] t2:[p6..p8] t3:[p9..p11]
          │ AggregateExec: mode=Partial, gby=[], aggr=[sum(store_sales.ss_ext_sales_price)]
          │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, ss_item_sk@0)], projection=[ss_ext_sales_price@2]
          │     CoalescePartitionsExec
          │       [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
          │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(ca_address_sk@0, c_current_addr_sk@2)], projection=[ss_item_sk@1, ss_ext_sales_price@2]
          │       CoalescePartitionsExec
          │         [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
          │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(ss_customer_sk@1, c_customer_sk@0)], projection=[ss_item_sk@0, ss_ext_sales_price@2, c_current_addr_sk@4]
          │         CoalescePartitionsExec
          │           [Stage 6] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
          │         RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
          │           DistributedLeafExec:
          │             t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_addr_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          │             t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_addr_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          │             t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_addr_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          │             t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_addr_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          └──────────────────────────────────────────────────
            ┌───── Stage 1 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   FilterExec: i_category@1 = Jewelry, projection=[i_item_sk@0]
            │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_category], file_type=parquet, predicate=i_category@12 = Jewelry, pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Jewelry AND Jewelry <= i_category_max@1, required_guarantees=[i_category in (Jewelry)]
            │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_category], file_type=parquet, predicate=i_category@12 = Jewelry, pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Jewelry AND Jewelry <= i_category_max@1, required_guarantees=[i_category in (Jewelry)]
            │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_category], file_type=parquet, predicate=i_category@12 = Jewelry, pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Jewelry AND Jewelry <= i_category_max@1, required_guarantees=[i_category in (Jewelry)]
            │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_category], file_type=parquet, predicate=i_category@12 = Jewelry, pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Jewelry AND Jewelry <= i_category_max@1, required_guarantees=[i_category in (Jewelry)]
            └──────────────────────────────────────────────────
            ┌───── Stage 2 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   FilterExec: ca_gmt_offset@1 = Some(-500),5,2, projection=[ca_address_sk@0]
            │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_gmt_offset], file_type=parquet, predicate=ca_gmt_offset@11 = Some(-500),5,2, pruning_predicate=ca_gmt_offset_null_count@2 != row_count@3 AND ca_gmt_offset_min@0 <= Some(-500),5,2 AND Some(-500),5,2 <= ca_gmt_offset_max@1, required_guarantees=[ca_gmt_offset in (Some(-500),5,2)]
            │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_gmt_offset], file_type=parquet, predicate=ca_gmt_offset@11 = Some(-500),5,2, pruning_predicate=ca_gmt_offset_null_count@2 != row_count@3 AND ca_gmt_offset_min@0 <= Some(-500),5,2 AND Some(-500),5,2 <= ca_gmt_offset_max@1, required_guarantees=[ca_gmt_offset in (Some(-500),5,2)]
            │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_gmt_offset], file_type=parquet, predicate=ca_gmt_offset@11 = Some(-500),5,2, pruning_predicate=ca_gmt_offset_null_count@2 != row_count@3 AND ca_gmt_offset_min@0 <= Some(-500),5,2 AND Some(-500),5,2 <= ca_gmt_offset_max@1, required_guarantees=[ca_gmt_offset in (Some(-500),5,2)]
            │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_gmt_offset], file_type=parquet, predicate=ca_gmt_offset@11 = Some(-500),5,2, pruning_predicate=ca_gmt_offset_null_count@2 != row_count@3 AND ca_gmt_offset_min@0 <= Some(-500),5,2 AND Some(-500),5,2 <= ca_gmt_offset_max@1, required_guarantees=[ca_gmt_offset in (Some(-500),5,2)]
            └──────────────────────────────────────────────────
            ┌───── Stage 6 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[ss_item_sk@2, ss_customer_sk@3, ss_ext_sales_price@4]
            │     CoalescePartitionsExec
            │       [Stage 3] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(p_promo_sk@0, ss_promo_sk@3)], projection=[ss_sold_date_sk@1, ss_item_sk@2, ss_customer_sk@3, ss_ext_sales_price@5]
            │       CoalescePartitionsExec
            │         [Stage 4] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(s_store_sk@0, ss_store_sk@3)], projection=[ss_sold_date_sk@1, ss_item_sk@2, ss_customer_sk@3, ss_promo_sk@5, ss_ext_sales_price@6]
            │         CoalescePartitionsExec
            │           [Stage 5] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │         DistributedLeafExec:
            │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_customer_sk, ss_store_sk, ss_promo_sk, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_customer_sk, ss_store_sk, ss_promo_sk, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_customer_sk, ss_store_sk, ss_promo_sk, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_customer_sk, ss_store_sk, ss_promo_sk, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 3 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_year@1 = 1998 AND d_moy@2 = 11, projection=[d_date_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1998 AND d_moy@8 = 11, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 11 AND 11 <= d_moy_max@5, required_guarantees=[d_moy in (11), d_year in (1998)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1998 AND d_moy@8 = 11, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 11 AND 11 <= d_moy_max@5, required_guarantees=[d_moy in (11), d_year in (1998)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1998 AND d_moy@8 = 11, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 11 AND 11 <= d_moy_max@5, required_guarantees=[d_moy in (11), d_year in (1998)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1998 AND d_moy@8 = 11, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 11 AND 11 <= d_moy_max@5, required_guarantees=[d_moy in (11), d_year in (1998)]
              └──────────────────────────────────────────────────
              ┌───── Stage 4 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: p_channel_dmail@1 = Y OR p_channel_email@2 = Y OR p_channel_tv@3 = Y, projection=[p_promo_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/promotion/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/promotion/part-0.parquet:<int>..<int>]]}, projection=[p_promo_sk, p_channel_dmail, p_channel_email, p_channel_tv], file_type=parquet, predicate=p_channel_dmail@8 = Y OR p_channel_email@9 = Y OR p_channel_tv@11 = Y, pruning_predicate=p_channel_dmail_null_count@2 != row_count@3 AND p_channel_dmail_min@0 <= Y AND Y <= p_channel_dmail_max@1 OR p_channel_email_null_count@6 != row_count@3 AND p_channel_email_min@4 <= Y AND Y <= p_channel_email_max@5 OR p_channel_tv_null_count@9 != row_count@3 AND p_channel_tv_min@7 <= Y AND Y <= p_channel_tv_max@8, required_guarantees=[]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/promotion/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/promotion/part-0.parquet:<int>..<int>]]}, projection=[p_promo_sk, p_channel_dmail, p_channel_email, p_channel_tv], file_type=parquet, predicate=p_channel_dmail@8 = Y OR p_channel_email@9 = Y OR p_channel_tv@11 = Y, pruning_predicate=p_channel_dmail_null_count@2 != row_count@3 AND p_channel_dmail_min@0 <= Y AND Y <= p_channel_dmail_max@1 OR p_channel_email_null_count@6 != row_count@3 AND p_channel_email_min@4 <= Y AND Y <= p_channel_email_max@5 OR p_channel_tv_null_count@9 != row_count@3 AND p_channel_tv_min@7 <= Y AND Y <= p_channel_tv_max@8, required_guarantees=[]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/promotion/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/promotion/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/promotion/part-1.parquet:<int>..<int>]]}, projection=[p_promo_sk, p_channel_dmail, p_channel_email, p_channel_tv], file_type=parquet, predicate=p_channel_dmail@8 = Y OR p_channel_email@9 = Y OR p_channel_tv@11 = Y, pruning_predicate=p_channel_dmail_null_count@2 != row_count@3 AND p_channel_dmail_min@0 <= Y AND Y <= p_channel_dmail_max@1 OR p_channel_email_null_count@6 != row_count@3 AND p_channel_email_min@4 <= Y AND Y <= p_channel_email_max@5 OR p_channel_tv_null_count@9 != row_count@3 AND p_channel_tv_min@7 <= Y AND Y <= p_channel_tv_max@8, required_guarantees=[]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/promotion/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/promotion/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/promotion/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/promotion/part-3.parquet:<int>..<int>]]}, projection=[p_promo_sk, p_channel_dmail, p_channel_email, p_channel_tv], file_type=parquet, predicate=p_channel_dmail@8 = Y OR p_channel_email@9 = Y OR p_channel_tv@11 = Y, pruning_predicate=p_channel_dmail_null_count@2 != row_count@3 AND p_channel_dmail_min@0 <= Y AND Y <= p_channel_dmail_max@1 OR p_channel_email_null_count@6 != row_count@3 AND p_channel_email_min@4 <= Y AND Y <= p_channel_email_max@5 OR p_channel_tv_null_count@9 != row_count@3 AND p_channel_tv_min@7 <= Y AND Y <= p_channel_tv_max@8, required_guarantees=[]
              └──────────────────────────────────────────────────
              ┌───── Stage 5 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: s_gmt_offset@1 = Some(-500),5,2, projection=[s_store_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>]]}, projection=[s_store_sk, s_gmt_offset], file_type=parquet, predicate=s_gmt_offset@27 = Some(-500),5,2, pruning_predicate=s_gmt_offset_null_count@2 != row_count@3 AND s_gmt_offset_min@0 <= Some(-500),5,2 AND Some(-500),5,2 <= s_gmt_offset_max@1, required_guarantees=[s_gmt_offset in (Some(-500),5,2)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>]]}, projection=[s_store_sk, s_gmt_offset], file_type=parquet, predicate=s_gmt_offset@27 = Some(-500),5,2, pruning_predicate=s_gmt_offset_null_count@2 != row_count@3 AND s_gmt_offset_min@0 <= Some(-500),5,2 AND Some(-500),5,2 <= s_gmt_offset_max@1, required_guarantees=[s_gmt_offset in (Some(-500),5,2)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_gmt_offset], file_type=parquet, predicate=s_gmt_offset@27 = Some(-500),5,2, pruning_predicate=s_gmt_offset_null_count@2 != row_count@3 AND s_gmt_offset_min@0 <= Some(-500),5,2 AND Some(-500),5,2 <= s_gmt_offset_max@1, required_guarantees=[s_gmt_offset in (Some(-500),5,2)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_gmt_offset], file_type=parquet, predicate=s_gmt_offset@27 = Some(-500),5,2, pruning_predicate=s_gmt_offset_null_count@2 != row_count@3 AND s_gmt_offset_min@0 <= Some(-500),5,2 AND Some(-500),5,2 <= s_gmt_offset_max@1, required_guarantees=[s_gmt_offset in (Some(-500),5,2)]
              └──────────────────────────────────────────────────
          ┌───── Stage 13 ── Tasks: t0:[p0..p2] t1:[p3..p5] t2:[p6..p8] t3:[p9..p11]
          │ AggregateExec: mode=Partial, gby=[], aggr=[sum(store_sales.ss_ext_sales_price)]
          │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, ss_item_sk@0)], projection=[ss_ext_sales_price@2]
          │     CoalescePartitionsExec
          │       [Stage 8] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
          │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(ca_address_sk@0, c_current_addr_sk@2)], projection=[ss_item_sk@1, ss_ext_sales_price@2]
          │       CoalescePartitionsExec
          │         [Stage 9] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
          │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(ss_customer_sk@1, c_customer_sk@0)], projection=[ss_item_sk@0, ss_ext_sales_price@2, c_current_addr_sk@4]
          │         CoalescePartitionsExec
          │           [Stage 12] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
          │         RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
          │           DistributedLeafExec:
          │             t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_addr_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          │             t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_addr_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          │             t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_addr_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          │             t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_addr_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          └──────────────────────────────────────────────────
            ┌───── Stage 8 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   FilterExec: i_category@1 = Jewelry, projection=[i_item_sk@0]
            │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_category], file_type=parquet, predicate=i_category@12 = Jewelry, pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Jewelry AND Jewelry <= i_category_max@1, required_guarantees=[i_category in (Jewelry)]
            │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_category], file_type=parquet, predicate=i_category@12 = Jewelry, pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Jewelry AND Jewelry <= i_category_max@1, required_guarantees=[i_category in (Jewelry)]
            │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_category], file_type=parquet, predicate=i_category@12 = Jewelry, pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Jewelry AND Jewelry <= i_category_max@1, required_guarantees=[i_category in (Jewelry)]
            │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_category], file_type=parquet, predicate=i_category@12 = Jewelry, pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Jewelry AND Jewelry <= i_category_max@1, required_guarantees=[i_category in (Jewelry)]
            └──────────────────────────────────────────────────
            ┌───── Stage 9 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   FilterExec: ca_gmt_offset@1 = Some(-500),5,2, projection=[ca_address_sk@0]
            │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_gmt_offset], file_type=parquet, predicate=ca_gmt_offset@11 = Some(-500),5,2, pruning_predicate=ca_gmt_offset_null_count@2 != row_count@3 AND ca_gmt_offset_min@0 <= Some(-500),5,2 AND Some(-500),5,2 <= ca_gmt_offset_max@1, required_guarantees=[ca_gmt_offset in (Some(-500),5,2)]
            │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_gmt_offset], file_type=parquet, predicate=ca_gmt_offset@11 = Some(-500),5,2, pruning_predicate=ca_gmt_offset_null_count@2 != row_count@3 AND ca_gmt_offset_min@0 <= Some(-500),5,2 AND Some(-500),5,2 <= ca_gmt_offset_max@1, required_guarantees=[ca_gmt_offset in (Some(-500),5,2)]
            │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_gmt_offset], file_type=parquet, predicate=ca_gmt_offset@11 = Some(-500),5,2, pruning_predicate=ca_gmt_offset_null_count@2 != row_count@3 AND ca_gmt_offset_min@0 <= Some(-500),5,2 AND Some(-500),5,2 <= ca_gmt_offset_max@1, required_guarantees=[ca_gmt_offset in (Some(-500),5,2)]
            │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_gmt_offset], file_type=parquet, predicate=ca_gmt_offset@11 = Some(-500),5,2, pruning_predicate=ca_gmt_offset_null_count@2 != row_count@3 AND ca_gmt_offset_min@0 <= Some(-500),5,2 AND Some(-500),5,2 <= ca_gmt_offset_max@1, required_guarantees=[ca_gmt_offset in (Some(-500),5,2)]
            └──────────────────────────────────────────────────
            ┌───── Stage 12 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[ss_item_sk@2, ss_customer_sk@3, ss_ext_sales_price@4]
            │     CoalescePartitionsExec
            │       [Stage 10] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(s_store_sk@0, ss_store_sk@3)], projection=[ss_sold_date_sk@1, ss_item_sk@2, ss_customer_sk@3, ss_ext_sales_price@5]
            │       CoalescePartitionsExec
            │         [Stage 11] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_customer_sk, ss_store_sk, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │         t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_customer_sk, ss_store_sk, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │         t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_customer_sk, ss_store_sk, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │         t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_customer_sk, ss_store_sk, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 10 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_year@1 = 1998 AND d_moy@2 = 11, projection=[d_date_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1998 AND d_moy@8 = 11, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 11 AND 11 <= d_moy_max@5, required_guarantees=[d_moy in (11), d_year in (1998)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1998 AND d_moy@8 = 11, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 11 AND 11 <= d_moy_max@5, required_guarantees=[d_moy in (11), d_year in (1998)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1998 AND d_moy@8 = 11, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 11 AND 11 <= d_moy_max@5, required_guarantees=[d_moy in (11), d_year in (1998)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1998 AND d_moy@8 = 11, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 11 AND 11 <= d_moy_max@5, required_guarantees=[d_moy in (11), d_year in (1998)]
              └──────────────────────────────────────────────────
              ┌───── Stage 11 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: s_gmt_offset@1 = Some(-500),5,2, projection=[s_store_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>]]}, projection=[s_store_sk, s_gmt_offset], file_type=parquet, predicate=s_gmt_offset@27 = Some(-500),5,2, pruning_predicate=s_gmt_offset_null_count@2 != row_count@3 AND s_gmt_offset_min@0 <= Some(-500),5,2 AND Some(-500),5,2 <= s_gmt_offset_max@1, required_guarantees=[s_gmt_offset in (Some(-500),5,2)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>]]}, projection=[s_store_sk, s_gmt_offset], file_type=parquet, predicate=s_gmt_offset@27 = Some(-500),5,2, pruning_predicate=s_gmt_offset_null_count@2 != row_count@3 AND s_gmt_offset_min@0 <= Some(-500),5,2 AND Some(-500),5,2 <= s_gmt_offset_max@1, required_guarantees=[s_gmt_offset in (Some(-500),5,2)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_gmt_offset], file_type=parquet, predicate=s_gmt_offset@27 = Some(-500),5,2, pruning_predicate=s_gmt_offset_null_count@2 != row_count@3 AND s_gmt_offset_min@0 <= Some(-500),5,2 AND Some(-500),5,2 <= s_gmt_offset_max@1, required_guarantees=[s_gmt_offset in (Some(-500),5,2)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_gmt_offset], file_type=parquet, predicate=s_gmt_offset@27 = Some(-500),5,2, pruning_predicate=s_gmt_offset_null_count@2 != row_count@3 AND s_gmt_offset_min@0 <= Some(-500),5,2 AND Some(-500),5,2 <= s_gmt_offset_max@1, required_guarantees=[s_gmt_offset in (Some(-500),5,2)]
              └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_62() -> Result<()> {
        let display = test_tpcds_query("q62").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [w_substr@0 ASC, sm_type@1 ASC, web_name@2 ASC], fetch=100
        │   [Stage 6] => NetworkCoalesceExec: output_partitions=6, input_tasks=2
        └──────────────────────────────────────────────────
          ┌───── Stage 6 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ SortExec: TopK(fetch=100), expr=[w_substr@0 ASC, sm_type@1 ASC, web_name@2 ASC], preserve_partitioning=[true]
          │   ProjectionExec: expr=[w_substr@0 as w_substr, sm_type@1 as sm_type, web_name@2 as web_name, sum(CASE WHEN web_sales.ws_ship_date_sk - web_sales.ws_sold_date_sk <= Int64(30) THEN Int64(1) ELSE Int64(0) END)@3 as 30 days, sum(CASE WHEN web_sales.ws_ship_date_sk - web_sales.ws_sold_date_sk > Int64(30) AND web_sales.ws_ship_date_sk - web_sales.ws_sold_date_sk <= Int64(60) THEN Int64(1) ELSE Int64(0) END)@4 as 31-60 days, sum(CASE WHEN web_sales.ws_ship_date_sk - web_sales.ws_sold_date_sk > Int64(60) AND web_sales.ws_ship_date_sk - web_sales.ws_sold_date_sk <= Int64(90) THEN Int64(1) ELSE Int64(0) END)@5 as 61-90 days, sum(CASE WHEN web_sales.ws_ship_date_sk - web_sales.ws_sold_date_sk > Int64(90) AND web_sales.ws_ship_date_sk - web_sales.ws_sold_date_sk <= Int64(120) THEN Int64(1) ELSE Int64(0) END)@6 as 91-120 days, sum(CASE WHEN web_sales.ws_ship_date_sk - web_sales.ws_sold_date_sk > Int64(120) THEN Int64(1) ELSE Int64(0) END)@7 as >120 days]
          │     AggregateExec: mode=FinalPartitioned, gby=[w_substr@0 as w_substr, sm_type@1 as sm_type, web_name@2 as web_name], aggr=[sum(CASE WHEN __common_expr_1 <= 30 THEN 1 ELSE 0 END) as sum(CASE WHEN web_sales.ws_ship_date_sk - web_sales.ws_sold_date_sk <= Int64(30) THEN Int64(1) ELSE Int64(0) END), sum(CASE WHEN __common_expr_1 > 30 AND __common_expr_1 <= 60 THEN 1 ELSE 0 END) as sum(CASE WHEN web_sales.ws_ship_date_sk - web_sales.ws_sold_date_sk > Int64(30) AND web_sales.ws_ship_date_sk - web_sales.ws_sold_date_sk <= Int64(60) THEN Int64(1) ELSE Int64(0) END), sum(CASE WHEN __common_expr_1 > 60 AND __common_expr_1 <= 90 THEN 1 ELSE 0 END) as sum(CASE WHEN web_sales.ws_ship_date_sk - web_sales.ws_sold_date_sk > Int64(60) AND web_sales.ws_ship_date_sk - web_sales.ws_sold_date_sk <= Int64(90) THEN Int64(1) ELSE Int64(0) END), sum(CASE WHEN __common_expr_1 > 90 AND __common_expr_1 <= 120 THEN 1 ELSE 0 END) as sum(CASE WHEN web_sales.ws_ship_date_sk - web_sales.ws_sold_date_sk > Int64(90) AND web_sales.ws_ship_date_sk - web_sales.ws_sold_date_sk <= Int64(120) THEN Int64(1) ELSE Int64(0) END), sum(CASE WHEN __common_expr_1 > 120 THEN 1 ELSE 0 END) as sum(CASE WHEN web_sales.ws_ship_date_sk - web_sales.ws_sold_date_sk > Int64(120) THEN Int64(1) ELSE Int64(0) END)]
          │       [Stage 5] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 5 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([w_substr@0, sm_type@1, web_name@2], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[w_substr@1 as w_substr, sm_type@2 as sm_type, web_name@3 as web_name], aggr=[sum(CASE WHEN __common_expr_1 <= 30 THEN 1 ELSE 0 END) as sum(CASE WHEN web_sales.ws_ship_date_sk - web_sales.ws_sold_date_sk <= Int64(30) THEN Int64(1) ELSE Int64(0) END), sum(CASE WHEN __common_expr_1 > 30 AND __common_expr_1 <= 60 THEN 1 ELSE 0 END) as sum(CASE WHEN web_sales.ws_ship_date_sk - web_sales.ws_sold_date_sk > Int64(30) AND web_sales.ws_ship_date_sk - web_sales.ws_sold_date_sk <= Int64(60) THEN Int64(1) ELSE Int64(0) END), sum(CASE WHEN __common_expr_1 > 60 AND __common_expr_1 <= 90 THEN 1 ELSE 0 END) as sum(CASE WHEN web_sales.ws_ship_date_sk - web_sales.ws_sold_date_sk > Int64(60) AND web_sales.ws_ship_date_sk - web_sales.ws_sold_date_sk <= Int64(90) THEN Int64(1) ELSE Int64(0) END), sum(CASE WHEN __common_expr_1 > 90 AND __common_expr_1 <= 120 THEN 1 ELSE 0 END) as sum(CASE WHEN web_sales.ws_ship_date_sk - web_sales.ws_sold_date_sk > Int64(90) AND web_sales.ws_ship_date_sk - web_sales.ws_sold_date_sk <= Int64(120) THEN Int64(1) ELSE Int64(0) END), sum(CASE WHEN __common_expr_1 > 120 THEN 1 ELSE 0 END) as sum(CASE WHEN web_sales.ws_ship_date_sk - web_sales.ws_sold_date_sk > Int64(120) THEN Int64(1) ELSE Int64(0) END)]
            │     ProjectionExec: expr=[ws_ship_date_sk@0 - ws_sold_date_sk@1 as __common_expr_1, w_substr@2 as w_substr, sm_type@3 as sm_type, web_name@4 as web_name]
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ws_ship_date_sk@1)], projection=[ws_ship_date_sk@2, ws_sold_date_sk@1, w_substr@3, sm_type@4, web_name@5]
            │         CoalescePartitionsExec
            │           [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(web_site_sk@0, ws_web_site_sk@2)], projection=[ws_sold_date_sk@2, ws_ship_date_sk@3, w_substr@5, sm_type@6, web_name@1]
            │           CoalescePartitionsExec
            │             [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │           HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(sm_ship_mode_sk@0, ws_ship_mode_sk@3)], projection=[ws_sold_date_sk@2, ws_ship_date_sk@3, ws_web_site_sk@4, w_substr@6, sm_type@1]
            │             CoalescePartitionsExec
            │               [Stage 3] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │             HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(w_warehouse_sk@1, ws_warehouse_sk@4)], projection=[ws_sold_date_sk@2, ws_ship_date_sk@3, ws_web_site_sk@4, ws_ship_mode_sk@5, w_substr@0]
            │               CoalescePartitionsExec
            │                 [Stage 4] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │               DistributedLeafExec:
            │                 t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_ship_date_sk, ws_web_site_sk, ws_ship_mode_sk, ws_warehouse_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │                 t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_ship_date_sk, ws_web_site_sk, ws_ship_mode_sk, ws_warehouse_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │                 t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_ship_date_sk, ws_web_site_sk, ws_ship_mode_sk, ws_warehouse_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │                 t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_ship_date_sk, ws_web_site_sk, ws_ship_mode_sk, ws_warehouse_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 1 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_month_seq@1 >= 1200 AND d_month_seq@1 <= 1211, projection=[d_date_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_month_seq], file_type=parquet, predicate=d_month_seq@3 >= 1200 AND d_month_seq@3 <= 1211, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1200 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1211, required_guarantees=[]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_month_seq], file_type=parquet, predicate=d_month_seq@3 >= 1200 AND d_month_seq@3 <= 1211, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1200 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1211, required_guarantees=[]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_month_seq], file_type=parquet, predicate=d_month_seq@3 >= 1200 AND d_month_seq@3 <= 1211, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1200 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1211, required_guarantees=[]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_month_seq], file_type=parquet, predicate=d_month_seq@3 >= 1200 AND d_month_seq@3 <= 1211, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1200 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1211, required_guarantees=[]
              └──────────────────────────────────────────────────
              ┌───── Stage 2 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_site/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_site/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_site/part-1.parquet:<int>..<int>]]}, projection=[web_site_sk, web_name], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_site/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_site/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_site/part-2.parquet:<int>..<int>]]}, projection=[web_site_sk, web_name], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_site/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_site/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_site/part-3.parquet:<int>..<int>]]}, projection=[web_site_sk, web_name], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_site/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_site/part-3.parquet:<int>..<int>]]}, projection=[web_site_sk, web_name], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 3 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/ship_mode/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/ship_mode/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/ship_mode/part-1.parquet:<int>..<int>]]}, projection=[sm_ship_mode_sk, sm_type], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/ship_mode/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/ship_mode/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/ship_mode/part-2.parquet:<int>..<int>]]}, projection=[sm_ship_mode_sk, sm_type], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/ship_mode/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/ship_mode/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/ship_mode/part-3.parquet:<int>..<int>]]}, projection=[sm_ship_mode_sk, sm_type], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/ship_mode/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/ship_mode/part-3.parquet:<int>..<int>]]}, projection=[sm_ship_mode_sk, sm_type], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 4 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/warehouse/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/warehouse/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/warehouse/part-1.parquet:<int>..<int>]]}, projection=[substr(w_warehouse_name@2, 1, 20) as w_substr, w_warehouse_sk], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/warehouse/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/warehouse/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/warehouse/part-2.parquet:<int>..<int>]]}, projection=[substr(w_warehouse_name@2, 1, 20) as w_substr, w_warehouse_sk], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/warehouse/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/warehouse/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/warehouse/part-3.parquet:<int>..<int>]]}, projection=[substr(w_warehouse_name@2, 1, 20) as w_substr, w_warehouse_sk], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/warehouse/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/warehouse/part-3.parquet:<int>..<int>]]}, projection=[substr(w_warehouse_name@2, 1, 20) as w_substr, w_warehouse_sk], file_type=parquet
              └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_63() -> Result<()> {
        let display = test_tpcds_query("q63").await?;
        assert_snapshot!(display, @r#"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [i_manager_id@0 ASC NULLS LAST, avg_monthly_sales@2 ASC NULLS LAST, sum_sales@1 ASC NULLS LAST], fetch=100
        │   SortExec: TopK(fetch=100), expr=[i_manager_id@0 ASC NULLS LAST, avg_monthly_sales@2 ASC NULLS LAST, sum_sales@1 ASC NULLS LAST], preserve_partitioning=[true], sort_prefix=[i_manager_id@0 ASC NULLS LAST, avg_monthly_sales@2 ASC NULLS LAST]
        │     ProjectionExec: expr=[i_manager_id@0 as i_manager_id, sum(store_sales.ss_sales_price)@1 as sum_sales, avg(sum(store_sales.ss_sales_price)) PARTITION BY [item.i_manager_id] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING@2 as avg_monthly_sales]
        │       FilterExec: CASE WHEN avg(sum(store_sales.ss_sales_price)) PARTITION BY [item.i_manager_id] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING@2 > Some(0),21,6 THEN abs(sum(store_sales.ss_sales_price)@1 - avg(sum(store_sales.ss_sales_price)) PARTITION BY [item.i_manager_id] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING@2) / avg(sum(store_sales.ss_sales_price)) PARTITION BY [item.i_manager_id] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING@2 END > Some(1000000000),32,10
        │         WindowAggExec: wdw=[avg(sum(store_sales.ss_sales_price)) PARTITION BY [item.i_manager_id] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING: Ok(Field { name: "avg(sum(store_sales.ss_sales_price)) PARTITION BY [item.i_manager_id] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING", data_type: Decimal128(21, 6), nullable: true }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(NULL)), is_causal: false }]
        │           SortExec: expr=[i_manager_id@0 ASC NULLS LAST], preserve_partitioning=[true]
        │             [Stage 5] => NetworkShuffleExec: output_partitions=3, input_tasks=2
        └──────────────────────────────────────────────────
          ┌───── Stage 5 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ RepartitionExec: partitioning=Hash([i_manager_id@0], 3), input_partitions=3
          │   ProjectionExec: expr=[i_manager_id@0 as i_manager_id, sum(store_sales.ss_sales_price)@2 as sum(store_sales.ss_sales_price)]
          │     AggregateExec: mode=FinalPartitioned, gby=[i_manager_id@0 as i_manager_id, d_moy@1 as d_moy], aggr=[sum(store_sales.ss_sales_price)]
          │       [Stage 4] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 4 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([i_manager_id@0, d_moy@1], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[i_manager_id@0 as i_manager_id, d_moy@2 as d_moy], aggr=[sum(store_sales.ss_sales_price)]
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(s_store_sk@0, ss_store_sk@1)], projection=[i_manager_id@1, ss_sales_price@3, d_moy@4]
            │       CoalescePartitionsExec
            │         [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@1)], projection=[i_manager_id@2, ss_store_sk@4, ss_sales_price@5, d_moy@1]
            │         CoalescePartitionsExec
            │           [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, ss_item_sk@1)], projection=[i_manager_id@1, ss_sold_date_sk@2, ss_store_sk@4, ss_sales_price@5]
            │           CoalescePartitionsExec
            │             [Stage 3] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │           DistributedLeafExec:
            │             t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_store_sk, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_store_sk, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_store_sk, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_store_sk, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 1 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>]]}, projection=[s_store_sk], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>]]}, projection=[s_store_sk], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 2 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_month_seq@1 IN (SET) ([1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211]), projection=[d_date_sk@0, d_moy@2]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_month_seq, d_moy], file_type=parquet, predicate=d_month_seq@3 IN (SET) ([1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211]), pruning_predicate=d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1200 AND 1200 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1201 AND 1201 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1202 AND 1202 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1203 AND 1203 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1204 AND 1204 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1205 AND 1205 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1206 AND 1206 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1207 AND 1207 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1208 AND 1208 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1209 AND 1209 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1210 AND 1210 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1211 AND 1211 <= d_month_seq_max@1, required_guarantees=[d_month_seq in (1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_month_seq, d_moy], file_type=parquet, predicate=d_month_seq@3 IN (SET) ([1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211]), pruning_predicate=d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1200 AND 1200 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1201 AND 1201 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1202 AND 1202 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1203 AND 1203 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1204 AND 1204 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1205 AND 1205 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1206 AND 1206 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1207 AND 1207 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1208 AND 1208 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1209 AND 1209 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1210 AND 1210 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1211 AND 1211 <= d_month_seq_max@1, required_guarantees=[d_month_seq in (1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_month_seq, d_moy], file_type=parquet, predicate=d_month_seq@3 IN (SET) ([1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211]), pruning_predicate=d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1200 AND 1200 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1201 AND 1201 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1202 AND 1202 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1203 AND 1203 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1204 AND 1204 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1205 AND 1205 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1206 AND 1206 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1207 AND 1207 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1208 AND 1208 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1209 AND 1209 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1210 AND 1210 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1211 AND 1211 <= d_month_seq_max@1, required_guarantees=[d_month_seq in (1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_month_seq, d_moy], file_type=parquet, predicate=d_month_seq@3 IN (SET) ([1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211]), pruning_predicate=d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1200 AND 1200 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1201 AND 1201 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1202 AND 1202 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1203 AND 1203 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1204 AND 1204 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1205 AND 1205 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1206 AND 1206 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1207 AND 1207 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1208 AND 1208 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1209 AND 1209 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1210 AND 1210 <= d_month_seq_max@1 OR d_month_seq_null_count@2 != row_count@3 AND d_month_seq_min@0 <= 1211 AND 1211 <= d_month_seq_max@1, required_guarantees=[d_month_seq in (1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211)]
              └──────────────────────────────────────────────────
              ┌───── Stage 3 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: (i_category@3 = Books OR i_category@3 = Children OR i_category@3 = Electronics) AND i_class@2 IN (SET) ([personal, portable, reference, self-help]) AND i_brand@1 IN (SET) ([scholaramalgamalg #14, scholaramalgamalg #7, exportiunivamalg #9, scholaramalgamalg #9]) OR (i_category@3 = Women OR i_category@3 = Music OR i_category@3 = Men) AND i_class@2 IN (SET) ([accessories, classical, fragrances, pants]) AND i_brand@1 IN (SET) ([amalgimporto #1, edu packscholar #1, exportiimporto #1, importoamalg #1]), projection=[i_item_sk@0, i_manager_id@4]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand, i_class, i_category, i_manager_id], file_type=parquet, predicate=(i_category@12 = Books OR i_category@12 = Children OR i_category@12 = Electronics) AND i_class@10 IN (SET) ([personal, portable, reference, self-help]) AND i_brand@8 IN (SET) ([scholaramalgamalg #14, scholaramalgamalg #7, exportiunivamalg #9, scholaramalgamalg #9]) OR (i_category@12 = Women OR i_category@12 = Music OR i_category@12 = Men) AND i_class@10 IN (SET) ([accessories, classical, fragrances, pants]) AND i_brand@8 IN (SET) ([amalgimporto #1, edu packscholar #1, exportiimporto #1, importoamalg #1]), pruning_predicate=(i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Books AND Books <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Children AND Children <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Electronics AND Electronics <= i_category_max@1) AND (i_class_null_count@6 != row_count@3 AND i_class_min@4 <= personal AND personal <= i_class_max@5 OR i_class_null_count@6 != row_count@3 AND i_class_min@4 <= portable AND portable <= i_class_max@5 OR i_class_null_count@6 != row_count@3 AND i_class_min@4 <= reference AND reference <= i_class_max@5 OR i_class_null_count@6 != row_count@3 AND i_class_min@4 <= self-help AND self-help <= i_class_max@5) AND (i_brand_null_count@9 != row_count@3 AND i_brand_min@7 <= scholaramalgamalg #14 AND scholaramalgamalg #14 <= i_brand_max@8 OR i_brand_null_count@9 != row_count@3 AND i_brand_min@7 <= scholaramalgamalg #7 AND scholaramalgamalg #7 <= i_brand_max@8 OR i_brand_null_count@9 != row_count@3 AND i_brand_min@7 <= exportiunivamalg #9 AND exportiunivamalg #9 <= i_brand_max@8 OR i_brand_null_count@9 != row_count@3 AND i_brand_min@7 <= scholaramalgamalg #9 AND scholaramalgamalg #9 <= i_brand_max@8) OR (i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Women AND Women <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Music AND Music <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Men AND Men <= i_category_max@1) AND (i_class_null_count@6 != row_count@3 AND i_class_min@4 <= accessories AND accessories <= i_class_max@5 OR i_class_null_count@6 != row_count@3 AND i_class_min@4 <= classical AND classical <= i_class_max@5 OR i_class_null_count@6 != row_count@3 AND i_class_min@4 <= fragrances AND fragrances <= i_class_max@5 OR i_class_null_count@6 != row_count@3 AND i_class_min@4 <= pants AND pants <= i_class_max@5) AND (i_brand_null_count@9 != row_count@3 AND i_brand_min@7 <= amalgimporto #1 AND amalgimporto #1 <= i_brand_max@8 OR i_brand_null_count@9 != row_count@3 AND i_brand_min@7 <= edu packscholar #1 AND edu packscholar #1 <= i_brand_max@8 OR i_brand_null_count@9 != row_count@3 AND i_brand_min@7 <= exportiimporto #1 AND exportiimporto #1 <= i_brand_max@8 OR i_brand_null_count@9 != row_count@3 AND i_brand_min@7 <= importoamalg #1 AND importoamalg #1 <= i_brand_max@8), required_guarantees=[i_brand in (amalgimporto #1, edu packscholar #1, exportiimporto #1, exportiunivamalg #9, importoamalg #1, scholaramalgamalg #14, scholaramalgamalg #7, scholaramalgamalg #9), i_class in (accessories, classical, fragrances, pants, personal, portable, reference, self-help)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand, i_class, i_category, i_manager_id], file_type=parquet, predicate=(i_category@12 = Books OR i_category@12 = Children OR i_category@12 = Electronics) AND i_class@10 IN (SET) ([personal, portable, reference, self-help]) AND i_brand@8 IN (SET) ([scholaramalgamalg #14, scholaramalgamalg #7, exportiunivamalg #9, scholaramalgamalg #9]) OR (i_category@12 = Women OR i_category@12 = Music OR i_category@12 = Men) AND i_class@10 IN (SET) ([accessories, classical, fragrances, pants]) AND i_brand@8 IN (SET) ([amalgimporto #1, edu packscholar #1, exportiimporto #1, importoamalg #1]), pruning_predicate=(i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Books AND Books <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Children AND Children <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Electronics AND Electronics <= i_category_max@1) AND (i_class_null_count@6 != row_count@3 AND i_class_min@4 <= personal AND personal <= i_class_max@5 OR i_class_null_count@6 != row_count@3 AND i_class_min@4 <= portable AND portable <= i_class_max@5 OR i_class_null_count@6 != row_count@3 AND i_class_min@4 <= reference AND reference <= i_class_max@5 OR i_class_null_count@6 != row_count@3 AND i_class_min@4 <= self-help AND self-help <= i_class_max@5) AND (i_brand_null_count@9 != row_count@3 AND i_brand_min@7 <= scholaramalgamalg #14 AND scholaramalgamalg #14 <= i_brand_max@8 OR i_brand_null_count@9 != row_count@3 AND i_brand_min@7 <= scholaramalgamalg #7 AND scholaramalgamalg #7 <= i_brand_max@8 OR i_brand_null_count@9 != row_count@3 AND i_brand_min@7 <= exportiunivamalg #9 AND exportiunivamalg #9 <= i_brand_max@8 OR i_brand_null_count@9 != row_count@3 AND i_brand_min@7 <= scholaramalgamalg #9 AND scholaramalgamalg #9 <= i_brand_max@8) OR (i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Women AND Women <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Music AND Music <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Men AND Men <= i_category_max@1) AND (i_class_null_count@6 != row_count@3 AND i_class_min@4 <= accessories AND accessories <= i_class_max@5 OR i_class_null_count@6 != row_count@3 AND i_class_min@4 <= classical AND classical <= i_class_max@5 OR i_class_null_count@6 != row_count@3 AND i_class_min@4 <= fragrances AND fragrances <= i_class_max@5 OR i_class_null_count@6 != row_count@3 AND i_class_min@4 <= pants AND pants <= i_class_max@5) AND (i_brand_null_count@9 != row_count@3 AND i_brand_min@7 <= amalgimporto #1 AND amalgimporto #1 <= i_brand_max@8 OR i_brand_null_count@9 != row_count@3 AND i_brand_min@7 <= edu packscholar #1 AND edu packscholar #1 <= i_brand_max@8 OR i_brand_null_count@9 != row_count@3 AND i_brand_min@7 <= exportiimporto #1 AND exportiimporto #1 <= i_brand_max@8 OR i_brand_null_count@9 != row_count@3 AND i_brand_min@7 <= importoamalg #1 AND importoamalg #1 <= i_brand_max@8), required_guarantees=[i_brand in (amalgimporto #1, edu packscholar #1, exportiimporto #1, exportiunivamalg #9, importoamalg #1, scholaramalgamalg #14, scholaramalgamalg #7, scholaramalgamalg #9), i_class in (accessories, classical, fragrances, pants, personal, portable, reference, self-help)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand, i_class, i_category, i_manager_id], file_type=parquet, predicate=(i_category@12 = Books OR i_category@12 = Children OR i_category@12 = Electronics) AND i_class@10 IN (SET) ([personal, portable, reference, self-help]) AND i_brand@8 IN (SET) ([scholaramalgamalg #14, scholaramalgamalg #7, exportiunivamalg #9, scholaramalgamalg #9]) OR (i_category@12 = Women OR i_category@12 = Music OR i_category@12 = Men) AND i_class@10 IN (SET) ([accessories, classical, fragrances, pants]) AND i_brand@8 IN (SET) ([amalgimporto #1, edu packscholar #1, exportiimporto #1, importoamalg #1]), pruning_predicate=(i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Books AND Books <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Children AND Children <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Electronics AND Electronics <= i_category_max@1) AND (i_class_null_count@6 != row_count@3 AND i_class_min@4 <= personal AND personal <= i_class_max@5 OR i_class_null_count@6 != row_count@3 AND i_class_min@4 <= portable AND portable <= i_class_max@5 OR i_class_null_count@6 != row_count@3 AND i_class_min@4 <= reference AND reference <= i_class_max@5 OR i_class_null_count@6 != row_count@3 AND i_class_min@4 <= self-help AND self-help <= i_class_max@5) AND (i_brand_null_count@9 != row_count@3 AND i_brand_min@7 <= scholaramalgamalg #14 AND scholaramalgamalg #14 <= i_brand_max@8 OR i_brand_null_count@9 != row_count@3 AND i_brand_min@7 <= scholaramalgamalg #7 AND scholaramalgamalg #7 <= i_brand_max@8 OR i_brand_null_count@9 != row_count@3 AND i_brand_min@7 <= exportiunivamalg #9 AND exportiunivamalg #9 <= i_brand_max@8 OR i_brand_null_count@9 != row_count@3 AND i_brand_min@7 <= scholaramalgamalg #9 AND scholaramalgamalg #9 <= i_brand_max@8) OR (i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Women AND Women <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Music AND Music <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Men AND Men <= i_category_max@1) AND (i_class_null_count@6 != row_count@3 AND i_class_min@4 <= accessories AND accessories <= i_class_max@5 OR i_class_null_count@6 != row_count@3 AND i_class_min@4 <= classical AND classical <= i_class_max@5 OR i_class_null_count@6 != row_count@3 AND i_class_min@4 <= fragrances AND fragrances <= i_class_max@5 OR i_class_null_count@6 != row_count@3 AND i_class_min@4 <= pants AND pants <= i_class_max@5) AND (i_brand_null_count@9 != row_count@3 AND i_brand_min@7 <= amalgimporto #1 AND amalgimporto #1 <= i_brand_max@8 OR i_brand_null_count@9 != row_count@3 AND i_brand_min@7 <= edu packscholar #1 AND edu packscholar #1 <= i_brand_max@8 OR i_brand_null_count@9 != row_count@3 AND i_brand_min@7 <= exportiimporto #1 AND exportiimporto #1 <= i_brand_max@8 OR i_brand_null_count@9 != row_count@3 AND i_brand_min@7 <= importoamalg #1 AND importoamalg #1 <= i_brand_max@8), required_guarantees=[i_brand in (amalgimporto #1, edu packscholar #1, exportiimporto #1, exportiunivamalg #9, importoamalg #1, scholaramalgamalg #14, scholaramalgamalg #7, scholaramalgamalg #9), i_class in (accessories, classical, fragrances, pants, personal, portable, reference, self-help)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand, i_class, i_category, i_manager_id], file_type=parquet, predicate=(i_category@12 = Books OR i_category@12 = Children OR i_category@12 = Electronics) AND i_class@10 IN (SET) ([personal, portable, reference, self-help]) AND i_brand@8 IN (SET) ([scholaramalgamalg #14, scholaramalgamalg #7, exportiunivamalg #9, scholaramalgamalg #9]) OR (i_category@12 = Women OR i_category@12 = Music OR i_category@12 = Men) AND i_class@10 IN (SET) ([accessories, classical, fragrances, pants]) AND i_brand@8 IN (SET) ([amalgimporto #1, edu packscholar #1, exportiimporto #1, importoamalg #1]), pruning_predicate=(i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Books AND Books <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Children AND Children <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Electronics AND Electronics <= i_category_max@1) AND (i_class_null_count@6 != row_count@3 AND i_class_min@4 <= personal AND personal <= i_class_max@5 OR i_class_null_count@6 != row_count@3 AND i_class_min@4 <= portable AND portable <= i_class_max@5 OR i_class_null_count@6 != row_count@3 AND i_class_min@4 <= reference AND reference <= i_class_max@5 OR i_class_null_count@6 != row_count@3 AND i_class_min@4 <= self-help AND self-help <= i_class_max@5) AND (i_brand_null_count@9 != row_count@3 AND i_brand_min@7 <= scholaramalgamalg #14 AND scholaramalgamalg #14 <= i_brand_max@8 OR i_brand_null_count@9 != row_count@3 AND i_brand_min@7 <= scholaramalgamalg #7 AND scholaramalgamalg #7 <= i_brand_max@8 OR i_brand_null_count@9 != row_count@3 AND i_brand_min@7 <= exportiunivamalg #9 AND exportiunivamalg #9 <= i_brand_max@8 OR i_brand_null_count@9 != row_count@3 AND i_brand_min@7 <= scholaramalgamalg #9 AND scholaramalgamalg #9 <= i_brand_max@8) OR (i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Women AND Women <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Music AND Music <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Men AND Men <= i_category_max@1) AND (i_class_null_count@6 != row_count@3 AND i_class_min@4 <= accessories AND accessories <= i_class_max@5 OR i_class_null_count@6 != row_count@3 AND i_class_min@4 <= classical AND classical <= i_class_max@5 OR i_class_null_count@6 != row_count@3 AND i_class_min@4 <= fragrances AND fragrances <= i_class_max@5 OR i_class_null_count@6 != row_count@3 AND i_class_min@4 <= pants AND pants <= i_class_max@5) AND (i_brand_null_count@9 != row_count@3 AND i_brand_min@7 <= amalgimporto #1 AND amalgimporto #1 <= i_brand_max@8 OR i_brand_null_count@9 != row_count@3 AND i_brand_min@7 <= edu packscholar #1 AND edu packscholar #1 <= i_brand_max@8 OR i_brand_null_count@9 != row_count@3 AND i_brand_min@7 <= exportiimporto #1 AND exportiimporto #1 <= i_brand_max@8 OR i_brand_null_count@9 != row_count@3 AND i_brand_min@7 <= importoamalg #1 AND importoamalg #1 <= i_brand_max@8), required_guarantees=[i_brand in (amalgimporto #1, edu packscholar #1, exportiimporto #1, exportiunivamalg #9, importoamalg #1, scholaramalgamalg #14, scholaramalgamalg #7, scholaramalgamalg #9), i_class in (accessories, classical, fragrances, pants, personal, portable, reference, self-help)]
              └──────────────────────────────────────────────────
        "#);
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_64() -> Result<()> {
        let display = test_tpcds_query("q64").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [product_name@0 ASC NULLS LAST, store_name@1 ASC NULLS LAST, cnt@20 ASC NULLS LAST, s11@13 ASC NULLS LAST, s12@16 ASC NULLS LAST]
        │   [Stage 52] => NetworkCoalesceExec: output_partitions=6, input_tasks=2
        └──────────────────────────────────────────────────
          ┌───── Stage 52 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ SortExec: expr=[product_name@0 ASC NULLS LAST, store_name@1 ASC NULLS LAST, cnt@20 ASC NULLS LAST, s11@13 ASC NULLS LAST, s12@16 ASC NULLS LAST], preserve_partitioning=[true]
          │   ProjectionExec: expr=[product_name@0 as product_name, store_name@1 as store_name, store_zip@2 as store_zip, b_street_number@3 as b_street_number, b_street_name@4 as b_street_name, b_city@5 as b_city, b_zip@6 as b_zip, c_street_number@7 as c_street_number, c_street_name@8 as c_street_name, c_city@9 as c_city, c_zip@10 as c_zip, syear@11 as cs1syear, cnt@12 as cs1cnt, s1@13 as s11, s2@14 as s21, s3@15 as s31, s1@16 as s12, s2@17 as s22, s3@18 as s32, syear@19 as syear, cnt@20 as cnt]
          │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(item_sk@1, item_sk@0), (store_name@2, store_name@1), (store_zip@3, store_zip@2)], filter=cnt@1 <= cnt@0, projection=[product_name@0, store_name@2, store_zip@3, b_street_number@4, b_street_name@5, b_city@6, b_zip@7, c_street_number@8, c_street_name@9, c_city@10, c_zip@11, syear@12, cnt@13, s1@14, s2@15, s3@16, s1@22, s2@23, s3@24, syear@20, cnt@21]
          │       CoalescePartitionsExec
          │         [Stage 26] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=6, input_tasks=2
          │       ProjectionExec: expr=[i_item_sk@1 as item_sk, s_store_name@2 as store_name, s_zip@3 as store_zip, d_year@12 as syear, count(Int64(1))@15 as cnt, sum(store_sales.ss_wholesale_cost)@16 as s1, sum(store_sales.ss_list_price)@17 as s2, sum(store_sales.ss_coupon_amt)@18 as s3]
          │         AggregateExec: mode=FinalPartitioned, gby=[i_product_name@0 as i_product_name, i_item_sk@1 as i_item_sk, s_store_name@2 as s_store_name, s_zip@3 as s_zip, ca_street_number@4 as ca_street_number, ca_street_name@5 as ca_street_name, ca_city@6 as ca_city, ca_zip@7 as ca_zip, ca_street_number@8 as ca_street_number, ca_street_name@9 as ca_street_name, ca_city@10 as ca_city, ca_zip@11 as ca_zip, d_year@12 as d_year, d_year@13 as d_year, d_year@14 as d_year], aggr=[count(Int64(1)), sum(store_sales.ss_wholesale_cost), sum(store_sales.ss_list_price), sum(store_sales.ss_coupon_amt)], ordering_mode=PartiallySorted([12])
          │           [Stage 51] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 26 ── Tasks: t0:[p0..p5] t1:[p6..p11]
            │ BroadcastExec: input_partitions=3, consumer_tasks=2, output_partitions=6
            │   ProjectionExec: expr=[i_product_name@0 as product_name, i_item_sk@1 as item_sk, s_store_name@2 as store_name, s_zip@3 as store_zip, ca_street_number@4 as b_street_number, ca_street_name@5 as b_street_name, ca_city@6 as b_city, ca_zip@7 as b_zip, ca_street_number@8 as c_street_number, ca_street_name@9 as c_street_name, ca_city@10 as c_city, ca_zip@11 as c_zip, d_year@12 as syear, count(Int64(1))@15 as cnt, sum(store_sales.ss_wholesale_cost)@16 as s1, sum(store_sales.ss_list_price)@17 as s2, sum(store_sales.ss_coupon_amt)@18 as s3]
            │     AggregateExec: mode=FinalPartitioned, gby=[i_product_name@0 as i_product_name, i_item_sk@1 as i_item_sk, s_store_name@2 as s_store_name, s_zip@3 as s_zip, ca_street_number@4 as ca_street_number, ca_street_name@5 as ca_street_name, ca_city@6 as ca_city, ca_zip@7 as ca_zip, ca_street_number@8 as ca_street_number, ca_street_name@9 as ca_street_name, ca_city@10 as ca_city, ca_zip@11 as ca_zip, d_year@12 as d_year, d_year@13 as d_year, d_year@14 as d_year], aggr=[count(Int64(1)), sum(store_sales.ss_wholesale_cost), sum(store_sales.ss_list_price), sum(store_sales.ss_coupon_amt)], ordering_mode=PartiallySorted([12])
            │       [Stage 25] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            └──────────────────────────────────────────────────
              ┌───── Stage 25 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
              │ RepartitionExec: partitioning=Hash([i_product_name@0, i_item_sk@1, s_store_name@2, s_zip@3, ca_street_number@4, ca_street_name@5, ca_city@6, ca_zip@7, ca_street_number@8, ca_street_name@9, ca_city@10, ca_zip@11, d_year@12, d_year@13, d_year@14], 6), input_partitions=3
              │   AggregateExec: mode=Partial, gby=[i_product_name@17 as i_product_name, i_item_sk@16 as i_item_sk, s_store_name@6 as s_store_name, s_zip@7 as s_zip, ca_street_number@8 as ca_street_number, ca_street_name@9 as ca_street_name, ca_city@10 as ca_city, ca_zip@11 as ca_zip, ca_street_number@12 as ca_street_number, ca_street_name@13 as ca_street_name, ca_city@14 as ca_city, ca_zip@15 as ca_zip, d_year@3 as d_year, d_year@4 as d_year, d_year@5 as d_year], aggr=[count(Int64(1)), sum(store_sales.ss_wholesale_cost), sum(store_sales.ss_list_price), sum(store_sales.ss_coupon_amt)], ordering_mode=PartiallySorted([12])
              │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(ss_item_sk@0, i_item_sk@0)], projection=[ss_wholesale_cost@1, ss_list_price@2, ss_coupon_amt@3, d_year@4, d_year@7, d_year@8, s_store_name@5, s_zip@6, ca_street_number@9, ca_street_name@10, ca_city@11, ca_zip@12, ca_street_number@13, ca_street_name@14, ca_city@15, ca_zip@16, i_item_sk@17, i_product_name@18]
              │       CoalescePartitionsExec
              │         [Stage 24] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
              │       FilterExec: i_color@2 IN (SET) ([purple, burlywood, indian, spring, floral, medium]) AND i_current_price@1 >= Some(6500),7,2 AND i_current_price@1 <= Some(7400),7,2, projection=[i_item_sk@0, i_product_name@3]
              │         RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │           DistributedLeafExec:
              │             t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_current_price, i_color, i_product_name], file_type=parquet, predicate=i_color@17 IN (SET) ([purple, burlywood, indian, spring, floral, medium]) AND i_current_price@5 >= Some(6500),7,2 AND i_current_price@5 <= Some(7400),7,2 AND DynamicFilter [ empty ], pruning_predicate=(i_color_null_count@2 != row_count@3 AND i_color_min@0 <= purple AND purple <= i_color_max@1 OR i_color_null_count@2 != row_count@3 AND i_color_min@0 <= burlywood AND burlywood <= i_color_max@1 OR i_color_null_count@2 != row_count@3 AND i_color_min@0 <= indian AND indian <= i_color_max@1 OR i_color_null_count@2 != row_count@3 AND i_color_min@0 <= spring AND spring <= i_color_max@1 OR i_color_null_count@2 != row_count@3 AND i_color_min@0 <= floral AND floral <= i_color_max@1 OR i_color_null_count@2 != row_count@3 AND i_color_min@0 <= medium AND medium <= i_color_max@1) AND i_current_price_null_count@5 != row_count@3 AND i_current_price_max@4 >= Some(6500),7,2 AND i_current_price_null_count@5 != row_count@3 AND i_current_price_min@6 <= Some(7400),7,2, required_guarantees=[i_color in (burlywood, floral, indian, medium, purple, spring)]
              │             t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_current_price, i_color, i_product_name], file_type=parquet, predicate=i_color@17 IN (SET) ([purple, burlywood, indian, spring, floral, medium]) AND i_current_price@5 >= Some(6500),7,2 AND i_current_price@5 <= Some(7400),7,2 AND DynamicFilter [ empty ], pruning_predicate=(i_color_null_count@2 != row_count@3 AND i_color_min@0 <= purple AND purple <= i_color_max@1 OR i_color_null_count@2 != row_count@3 AND i_color_min@0 <= burlywood AND burlywood <= i_color_max@1 OR i_color_null_count@2 != row_count@3 AND i_color_min@0 <= indian AND indian <= i_color_max@1 OR i_color_null_count@2 != row_count@3 AND i_color_min@0 <= spring AND spring <= i_color_max@1 OR i_color_null_count@2 != row_count@3 AND i_color_min@0 <= floral AND floral <= i_color_max@1 OR i_color_null_count@2 != row_count@3 AND i_color_min@0 <= medium AND medium <= i_color_max@1) AND i_current_price_null_count@5 != row_count@3 AND i_current_price_max@4 >= Some(6500),7,2 AND i_current_price_null_count@5 != row_count@3 AND i_current_price_min@6 <= Some(7400),7,2, required_guarantees=[i_color in (burlywood, floral, indian, medium, purple, spring)]
              │             t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_current_price, i_color, i_product_name], file_type=parquet, predicate=i_color@17 IN (SET) ([purple, burlywood, indian, spring, floral, medium]) AND i_current_price@5 >= Some(6500),7,2 AND i_current_price@5 <= Some(7400),7,2 AND DynamicFilter [ empty ], pruning_predicate=(i_color_null_count@2 != row_count@3 AND i_color_min@0 <= purple AND purple <= i_color_max@1 OR i_color_null_count@2 != row_count@3 AND i_color_min@0 <= burlywood AND burlywood <= i_color_max@1 OR i_color_null_count@2 != row_count@3 AND i_color_min@0 <= indian AND indian <= i_color_max@1 OR i_color_null_count@2 != row_count@3 AND i_color_min@0 <= spring AND spring <= i_color_max@1 OR i_color_null_count@2 != row_count@3 AND i_color_min@0 <= floral AND floral <= i_color_max@1 OR i_color_null_count@2 != row_count@3 AND i_color_min@0 <= medium AND medium <= i_color_max@1) AND i_current_price_null_count@5 != row_count@3 AND i_current_price_max@4 >= Some(6500),7,2 AND i_current_price_null_count@5 != row_count@3 AND i_current_price_min@6 <= Some(7400),7,2, required_guarantees=[i_color in (burlywood, floral, indian, medium, purple, spring)]
              │             t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_current_price, i_color, i_product_name], file_type=parquet, predicate=i_color@17 IN (SET) ([purple, burlywood, indian, spring, floral, medium]) AND i_current_price@5 >= Some(6500),7,2 AND i_current_price@5 <= Some(7400),7,2 AND DynamicFilter [ empty ], pruning_predicate=(i_color_null_count@2 != row_count@3 AND i_color_min@0 <= purple AND purple <= i_color_max@1 OR i_color_null_count@2 != row_count@3 AND i_color_min@0 <= burlywood AND burlywood <= i_color_max@1 OR i_color_null_count@2 != row_count@3 AND i_color_min@0 <= indian AND indian <= i_color_max@1 OR i_color_null_count@2 != row_count@3 AND i_color_min@0 <= spring AND spring <= i_color_max@1 OR i_color_null_count@2 != row_count@3 AND i_color_min@0 <= floral AND floral <= i_color_max@1 OR i_color_null_count@2 != row_count@3 AND i_color_min@0 <= medium AND medium <= i_color_max@1) AND i_current_price_null_count@5 != row_count@3 AND i_current_price_max@4 >= Some(6500),7,2 AND i_current_price_null_count@5 != row_count@3 AND i_current_price_min@6 <= Some(7400),7,2, required_guarantees=[i_color in (burlywood, floral, indian, medium, purple, spring)]
              └──────────────────────────────────────────────────
                ┌───── Stage 24 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(hd_income_band_sk@9, ib_income_band_sk@0)], projection=[ss_item_sk@0, ss_wholesale_cost@1, ss_list_price@2, ss_coupon_amt@3, d_year@4, s_store_name@5, s_zip@6, d_year@7, d_year@8, ca_street_number@10, ca_street_name@11, ca_city@12, ca_zip@13, ca_street_number@14, ca_street_name@15, ca_city@16, ca_zip@17]
                │     CoalescePartitionsExec
                │       [Stage 23] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
                │     DistributedLeafExec:
                │       t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/income_band/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/income_band/part-1.parquet:<int>..<int>]]}, projection=[ib_income_band_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
                │       t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/income_band/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/income_band/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/income_band/part-2.parquet:<int>..<int>]]}, projection=[ib_income_band_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
                │       t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/income_band/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/income_band/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/income_band/part-3.parquet:<int>..<int>]]}, projection=[ib_income_band_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
                │       t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/income_band/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/income_band/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/income_band/part-3.parquet:<int>..<int>]]}, projection=[ib_income_band_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
                └──────────────────────────────────────────────────
                  ┌───── Stage 23 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                  │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                  │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(ib_income_band_sk@0, hd_income_band_sk@9)], projection=[ss_item_sk@1, ss_wholesale_cost@2, ss_list_price@3, ss_coupon_amt@4, d_year@5, s_store_name@6, s_zip@7, d_year@8, d_year@9, hd_income_band_sk@11, ca_street_number@12, ca_street_name@13, ca_city@14, ca_zip@15, ca_street_number@16, ca_street_name@17, ca_city@18, ca_zip@19]
                  │     CoalescePartitionsExec
                  │       [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
                  │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(ca_address_sk@0, c_current_addr_sk@7)], projection=[ss_item_sk@5, ss_wholesale_cost@6, ss_list_price@7, ss_coupon_amt@8, d_year@9, s_store_name@10, s_zip@11, d_year@13, d_year@14, hd_income_band_sk@15, hd_income_band_sk@16, ca_street_number@17, ca_street_name@18, ca_city@19, ca_zip@20, ca_street_number@1, ca_street_name@2, ca_city@3, ca_zip@4]
                  │       CoalescePartitionsExec
                  │         [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
                  │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(ca_address_sk@0, ss_addr_sk@1)], projection=[ss_item_sk@5, ss_wholesale_cost@7, ss_list_price@8, ss_coupon_amt@9, d_year@10, s_store_name@11, s_zip@12, c_current_addr_sk@13, d_year@14, d_year@15, hd_income_band_sk@16, hd_income_band_sk@17, ca_street_number@1, ca_street_name@2, ca_city@3, ca_zip@4]
                  │         CoalescePartitionsExec
                  │           [Stage 3] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
                  │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(hd_demo_sk@0, c_current_hdemo_sk@8)], projection=[ss_item_sk@2, ss_addr_sk@3, ss_wholesale_cost@4, ss_list_price@5, ss_coupon_amt@6, d_year@7, s_store_name@8, s_zip@9, c_current_addr_sk@11, d_year@12, d_year@13, hd_income_band_sk@14, hd_income_band_sk@1]
                  │           CoalescePartitionsExec
                  │             [Stage 4] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
                  │           HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(hd_demo_sk@0, ss_hdemo_sk@1)], projection=[ss_item_sk@2, ss_addr_sk@4, ss_wholesale_cost@5, ss_list_price@6, ss_coupon_amt@7, d_year@8, s_store_name@9, s_zip@10, c_current_hdemo_sk@11, c_current_addr_sk@12, d_year@13, d_year@14, hd_income_band_sk@1]
                  │             CoalescePartitionsExec
                  │               [Stage 5] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
                  │             HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(p_promo_sk@0, ss_promo_sk@3)], projection=[ss_item_sk@1, ss_hdemo_sk@2, ss_addr_sk@3, ss_wholesale_cost@5, ss_list_price@6, ss_coupon_amt@7, d_year@8, s_store_name@9, s_zip@10, c_current_hdemo_sk@11, c_current_addr_sk@12, d_year@13, d_year@14]
                  │               CoalescePartitionsExec
                  │                 [Stage 6] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
                  │               HashJoinExec: mode=Partitioned, join_type=Inner, on=[(cd_demo_sk@0, c_current_cdemo_sk@10)], filter=cd_marital_status@1 != cd_marital_status@0, projection=[ss_item_sk@2, ss_hdemo_sk@3, ss_addr_sk@4, ss_promo_sk@5, ss_wholesale_cost@6, ss_list_price@7, ss_coupon_amt@8, d_year@9, s_store_name@10, s_zip@11, c_current_hdemo_sk@13, c_current_addr_sk@14, d_year@15, d_year@16]
                  │                 [Stage 7] => NetworkShuffleExec: output_partitions=3, input_tasks=4
                  │                 [Stage 22] => NetworkShuffleExec: output_partitions=3, input_tasks=4
                  └──────────────────────────────────────────────────
                    ┌───── Stage 1 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                    │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                    │   DistributedLeafExec:
                    │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/income_band/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/income_band/part-1.parquet:<int>..<int>]]}, projection=[ib_income_band_sk], file_type=parquet
                    │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/income_band/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/income_band/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/income_band/part-2.parquet:<int>..<int>]]}, projection=[ib_income_band_sk], file_type=parquet
                    │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/income_band/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/income_band/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/income_band/part-3.parquet:<int>..<int>]]}, projection=[ib_income_band_sk], file_type=parquet
                    │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/income_band/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/income_band/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/income_band/part-3.parquet:<int>..<int>]]}, projection=[ib_income_band_sk], file_type=parquet
                    └──────────────────────────────────────────────────
                    ┌───── Stage 2 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                    │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                    │   DistributedLeafExec:
                    │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_street_number, ca_street_name, ca_city, ca_zip], file_type=parquet
                    │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_street_number, ca_street_name, ca_city, ca_zip], file_type=parquet
                    │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_street_number, ca_street_name, ca_city, ca_zip], file_type=parquet
                    │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_street_number, ca_street_name, ca_city, ca_zip], file_type=parquet
                    └──────────────────────────────────────────────────
                    ┌───── Stage 3 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                    │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                    │   DistributedLeafExec:
                    │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_street_number, ca_street_name, ca_city, ca_zip], file_type=parquet
                    │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_street_number, ca_street_name, ca_city, ca_zip], file_type=parquet
                    │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_street_number, ca_street_name, ca_city, ca_zip], file_type=parquet
                    │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_street_number, ca_street_name, ca_city, ca_zip], file_type=parquet
                    └──────────────────────────────────────────────────
                    ┌───── Stage 4 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                    │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                    │   DistributedLeafExec:
                    │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_income_band_sk], file_type=parquet
                    │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_income_band_sk], file_type=parquet
                    │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_income_band_sk], file_type=parquet
                    │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-3.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_income_band_sk], file_type=parquet
                    └──────────────────────────────────────────────────
                    ┌───── Stage 5 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                    │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                    │   DistributedLeafExec:
                    │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_income_band_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
                    │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_income_band_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
                    │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_income_band_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
                    │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-3.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_income_band_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
                    └──────────────────────────────────────────────────
                    ┌───── Stage 6 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                    │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                    │   DistributedLeafExec:
                    │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/promotion/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/promotion/part-0.parquet:<int>..<int>]]}, projection=[p_promo_sk], file_type=parquet
                    │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/promotion/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/promotion/part-0.parquet:<int>..<int>]]}, projection=[p_promo_sk], file_type=parquet
                    │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/promotion/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/promotion/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/promotion/part-1.parquet:<int>..<int>]]}, projection=[p_promo_sk], file_type=parquet
                    │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/promotion/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/promotion/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/promotion/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/promotion/part-3.parquet:<int>..<int>]]}, projection=[p_promo_sk], file_type=parquet
                    └──────────────────────────────────────────────────
                    ┌───── Stage 7 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
                    │ RepartitionExec: partitioning=Hash([cd_demo_sk@0], 12), input_partitions=3
                    │   DistributedLeafExec:
                    │     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_marital_status], file_type=parquet
                    │     t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-3.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_marital_status], file_type=parquet
                    │     t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-3.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_marital_status], file_type=parquet
                    │     t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-3.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_marital_status], file_type=parquet
                    └──────────────────────────────────────────────────
                    ┌───── Stage 22 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
                    │ RepartitionExec: partitioning=Hash([c_current_cdemo_sk@10], 12), input_partitions=3
                    │   HashJoinExec: mode=Partitioned, join_type=Inner, on=[(cd_demo_sk@0, ss_cdemo_sk@1)], projection=[ss_item_sk@2, ss_hdemo_sk@4, ss_addr_sk@5, ss_promo_sk@6, ss_wholesale_cost@7, ss_list_price@8, ss_coupon_amt@9, d_year@10, s_store_name@11, s_zip@12, c_current_cdemo_sk@13, c_current_hdemo_sk@14, c_current_addr_sk@15, d_year@16, d_year@17, cd_marital_status@1]
                    │     [Stage 8] => NetworkShuffleExec: output_partitions=3, input_tasks=4
                    │     [Stage 21] => NetworkShuffleExec: output_partitions=3, input_tasks=4
                    └──────────────────────────────────────────────────
                      ┌───── Stage 8 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
                      │ RepartitionExec: partitioning=Hash([cd_demo_sk@0], 12), input_partitions=3
                      │   DistributedLeafExec:
                      │     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_marital_status], file_type=parquet
                      │     t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-3.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_marital_status], file_type=parquet
                      │     t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-3.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_marital_status], file_type=parquet
                      │     t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-3.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_marital_status], file_type=parquet
                      └──────────────────────────────────────────────────
                      ┌───── Stage 21 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
                      │ RepartitionExec: partitioning=Hash([ss_cdemo_sk@1], 12), input_partitions=3
                      │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, c_first_shipto_date_sk@14)], projection=[ss_item_sk@2, ss_cdemo_sk@3, ss_hdemo_sk@4, ss_addr_sk@5, ss_promo_sk@6, ss_wholesale_cost@7, ss_list_price@8, ss_coupon_amt@9, d_year@10, s_store_name@11, s_zip@12, c_current_cdemo_sk@13, c_current_hdemo_sk@14, c_current_addr_sk@15, d_year@17, d_year@1]
                      │     CoalescePartitionsExec
                      │       [Stage 9] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
                      │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, c_first_sales_date_sk@15)], projection=[ss_item_sk@2, ss_cdemo_sk@3, ss_hdemo_sk@4, ss_addr_sk@5, ss_promo_sk@6, ss_wholesale_cost@7, ss_list_price@8, ss_coupon_amt@9, d_year@10, s_store_name@11, s_zip@12, c_current_cdemo_sk@13, c_current_hdemo_sk@14, c_current_addr_sk@15, c_first_shipto_date_sk@16, d_year@1]
                      │       CoalescePartitionsExec
                      │         [Stage 10] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
                      │       HashJoinExec: mode=Partitioned, join_type=Inner, on=[(c_customer_sk@0, ss_customer_sk@1)], projection=[ss_item_sk@6, ss_cdemo_sk@8, ss_hdemo_sk@9, ss_addr_sk@10, ss_promo_sk@11, ss_wholesale_cost@12, ss_list_price@13, ss_coupon_amt@14, d_year@15, s_store_name@16, s_zip@17, c_current_cdemo_sk@1, c_current_hdemo_sk@2, c_current_addr_sk@3, c_first_shipto_date_sk@4, c_first_sales_date_sk@5]
                      │         [Stage 11] => NetworkShuffleExec: output_partitions=3, input_tasks=4
                      │         [Stage 20] => NetworkShuffleExec: output_partitions=3, input_tasks=4
                      └──────────────────────────────────────────────────
                        ┌───── Stage 9 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                        │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                        │   DistributedLeafExec:
                        │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet
                        │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet
                        │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet
                        │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet
                        └──────────────────────────────────────────────────
                        ┌───── Stage 10 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                        │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                        │   DistributedLeafExec:
                        │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet
                        │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet
                        │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet
                        │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet
                        └──────────────────────────────────────────────────
                        ┌───── Stage 11 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
                        │ RepartitionExec: partitioning=Hash([c_customer_sk@0], 12), input_partitions=2
                        │   DistributedLeafExec:
                        │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_cdemo_sk, c_current_hdemo_sk, c_current_addr_sk, c_first_shipto_date_sk, c_first_sales_date_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                        │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_cdemo_sk, c_current_hdemo_sk, c_current_addr_sk, c_first_shipto_date_sk, c_first_sales_date_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                        │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_cdemo_sk, c_current_hdemo_sk, c_current_addr_sk, c_first_shipto_date_sk, c_first_sales_date_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                        │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_cdemo_sk, c_current_hdemo_sk, c_current_addr_sk, c_first_shipto_date_sk, c_first_sales_date_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                        └──────────────────────────────────────────────────
                        ┌───── Stage 20 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
                        │ RepartitionExec: partitioning=Hash([ss_customer_sk@1], 12), input_partitions=3
                        │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(s_store_sk@0, ss_store_sk@5)], projection=[ss_item_sk@3, ss_customer_sk@4, ss_cdemo_sk@5, ss_hdemo_sk@6, ss_addr_sk@7, ss_promo_sk@9, ss_wholesale_cost@10, ss_list_price@11, ss_coupon_amt@12, d_year@13, s_store_name@1, s_zip@2]
                        │     CoalescePartitionsExec
                        │       [Stage 12] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
                        │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[ss_item_sk@3, ss_customer_sk@4, ss_cdemo_sk@5, ss_hdemo_sk@6, ss_addr_sk@7, ss_store_sk@8, ss_promo_sk@9, ss_wholesale_cost@10, ss_list_price@11, ss_coupon_amt@12, d_year@1]
                        │       CoalescePartitionsExec
                        │         [Stage 13] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
                        │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(cs_item_sk@0, ss_item_sk@1)], projection=[ss_sold_date_sk@1, ss_item_sk@2, ss_customer_sk@3, ss_cdemo_sk@4, ss_hdemo_sk@5, ss_addr_sk@6, ss_store_sk@7, ss_promo_sk@8, ss_wholesale_cost@9, ss_list_price@10, ss_coupon_amt@11]
                        │         CoalescePartitionsExec
                        │           [Stage 17] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=2
                        │         HashJoinExec: mode=Partitioned, join_type=Inner, on=[(sr_item_sk@0, ss_item_sk@1), (sr_ticket_number@1, ss_ticket_number@8)], projection=[ss_sold_date_sk@2, ss_item_sk@3, ss_customer_sk@4, ss_cdemo_sk@5, ss_hdemo_sk@6, ss_addr_sk@7, ss_store_sk@8, ss_promo_sk@9, ss_wholesale_cost@11, ss_list_price@12, ss_coupon_amt@13]
                        │           [Stage 18] => NetworkShuffleExec: output_partitions=3, input_tasks=4
                        │           [Stage 19] => NetworkShuffleExec: output_partitions=3, input_tasks=4
                        └──────────────────────────────────────────────────
                          ┌───── Stage 12 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                          │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                          │   DistributedLeafExec:
                          │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name, s_zip], file_type=parquet
                          │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name, s_zip], file_type=parquet
                          │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name, s_zip], file_type=parquet
                          │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name, s_zip], file_type=parquet
                          └──────────────────────────────────────────────────
                          ┌───── Stage 13 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                          │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                          │   FilterExec: d_year@1 = 1999
                          │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                          │       DistributedLeafExec:
                          │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 1999, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1999 AND 1999 <= d_year_max@1, required_guarantees=[d_year in (1999)]
                          │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 1999, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1999 AND 1999 <= d_year_max@1, required_guarantees=[d_year in (1999)]
                          │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 1999, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1999 AND 1999 <= d_year_max@1, required_guarantees=[d_year in (1999)]
                          │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 1999, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1999 AND 1999 <= d_year_max@1, required_guarantees=[d_year in (1999)]
                          └──────────────────────────────────────────────────
                          ┌───── Stage 17 ── Tasks: t0:[p0..p11] t1:[p12..p23]
                          │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                          │   FilterExec: CAST(sum(catalog_sales.cs_ext_list_price)@1 AS Decimal128(38, 2)) > Some(2),20,0 * sum(catalog_returns.cr_refunded_cash + catalog_returns.cr_reversed_charge + catalog_returns.cr_store_credit)@2, projection=[cs_item_sk@0]
                          │     AggregateExec: mode=FinalPartitioned, gby=[cs_item_sk@0 as cs_item_sk], aggr=[sum(catalog_sales.cs_ext_list_price), sum(catalog_returns.cr_refunded_cash + catalog_returns.cr_reversed_charge + catalog_returns.cr_store_credit)]
                          │       [Stage 16] => NetworkShuffleExec: output_partitions=3, input_tasks=4
                          └──────────────────────────────────────────────────
                            ┌───── Stage 16 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
                            │ RepartitionExec: partitioning=Hash([cs_item_sk@0], 6), input_partitions=3
                            │   AggregateExec: mode=Partial, gby=[cs_item_sk@0 as cs_item_sk], aggr=[sum(catalog_sales.cs_ext_list_price), sum(catalog_returns.cr_refunded_cash + catalog_returns.cr_reversed_charge + catalog_returns.cr_store_credit)]
                            │     HashJoinExec: mode=Partitioned, join_type=Inner, on=[(cr_item_sk@0, cs_item_sk@0), (cr_order_number@1, cs_order_number@1)], projection=[cs_item_sk@5, cs_ext_list_price@7, cr_refunded_cash@2, cr_reversed_charge@3, cr_store_credit@4]
                            │       [Stage 14] => NetworkShuffleExec: output_partitions=3, input_tasks=4
                            │       [Stage 15] => NetworkShuffleExec: output_partitions=3, input_tasks=4
                            └──────────────────────────────────────────────────
                              ┌───── Stage 14 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
                              │ RepartitionExec: partitioning=Hash([cr_item_sk@0, cr_order_number@1], 12), input_partitions=3
                              │   DistributedLeafExec:
                              │     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>]]}, projection=[cr_item_sk, cr_order_number, cr_refunded_cash, cr_reversed_charge, cr_store_credit], file_type=parquet
                              │     t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-3.parquet:<int>..<int>]]}, projection=[cr_item_sk, cr_order_number, cr_refunded_cash, cr_reversed_charge, cr_store_credit], file_type=parquet
                              │     t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-3.parquet:<int>..<int>]]}, projection=[cr_item_sk, cr_order_number, cr_refunded_cash, cr_reversed_charge, cr_store_credit], file_type=parquet
                              │     t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-3.parquet:<int>..<int>]]}, projection=[cr_item_sk, cr_order_number, cr_refunded_cash, cr_reversed_charge, cr_store_credit], file_type=parquet
                              └──────────────────────────────────────────────────
                              ┌───── Stage 15 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
                              │ RepartitionExec: partitioning=Hash([cs_item_sk@0, cs_order_number@1], 12), input_partitions=3
                              │   DistributedLeafExec:
                              │     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>]]}, projection=[cs_item_sk, cs_order_number, cs_ext_list_price], file_type=parquet, predicate=DynamicFilter [ empty ]
                              │     t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_item_sk, cs_order_number, cs_ext_list_price], file_type=parquet, predicate=DynamicFilter [ empty ]
                              │     t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_item_sk, cs_order_number, cs_ext_list_price], file_type=parquet, predicate=DynamicFilter [ empty ]
                              │     t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_item_sk, cs_order_number, cs_ext_list_price], file_type=parquet, predicate=DynamicFilter [ empty ]
                              └──────────────────────────────────────────────────
                          ┌───── Stage 18 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
                          │ RepartitionExec: partitioning=Hash([sr_item_sk@0, sr_ticket_number@1], 12), input_partitions=3
                          │   DistributedLeafExec:
                          │     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>]]}, projection=[sr_item_sk, sr_ticket_number], file_type=parquet
                          │     t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-3.parquet:<int>..<int>]]}, projection=[sr_item_sk, sr_ticket_number], file_type=parquet
                          │     t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-3.parquet:<int>..<int>]]}, projection=[sr_item_sk, sr_ticket_number], file_type=parquet
                          │     t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-3.parquet:<int>..<int>]]}, projection=[sr_item_sk, sr_ticket_number], file_type=parquet
                          └──────────────────────────────────────────────────
                          ┌───── Stage 19 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
                          │ RepartitionExec: partitioning=Hash([ss_item_sk@1, ss_ticket_number@8], 12), input_partitions=3
                          │   DistributedLeafExec:
                          │     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_customer_sk, ss_cdemo_sk, ss_hdemo_sk, ss_addr_sk, ss_store_sk, ss_promo_sk, ss_ticket_number, ss_wholesale_cost, ss_list_price, ss_coupon_amt], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                          │     t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_customer_sk, ss_cdemo_sk, ss_hdemo_sk, ss_addr_sk, ss_store_sk, ss_promo_sk, ss_ticket_number, ss_wholesale_cost, ss_list_price, ss_coupon_amt], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                          │     t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_customer_sk, ss_cdemo_sk, ss_hdemo_sk, ss_addr_sk, ss_store_sk, ss_promo_sk, ss_ticket_number, ss_wholesale_cost, ss_list_price, ss_coupon_amt], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                          │     t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_customer_sk, ss_cdemo_sk, ss_hdemo_sk, ss_addr_sk, ss_store_sk, ss_promo_sk, ss_ticket_number, ss_wholesale_cost, ss_list_price, ss_coupon_amt], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                          └──────────────────────────────────────────────────
            ┌───── Stage 51 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([i_product_name@0, i_item_sk@1, s_store_name@2, s_zip@3, ca_street_number@4, ca_street_name@5, ca_city@6, ca_zip@7, ca_street_number@8, ca_street_name@9, ca_city@10, ca_zip@11, d_year@12, d_year@13, d_year@14], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[i_product_name@17 as i_product_name, i_item_sk@16 as i_item_sk, s_store_name@6 as s_store_name, s_zip@7 as s_zip, ca_street_number@8 as ca_street_number, ca_street_name@9 as ca_street_name, ca_city@10 as ca_city, ca_zip@11 as ca_zip, ca_street_number@12 as ca_street_number, ca_street_name@13 as ca_street_name, ca_city@14 as ca_city, ca_zip@15 as ca_zip, d_year@3 as d_year, d_year@4 as d_year, d_year@5 as d_year], aggr=[count(Int64(1)), sum(store_sales.ss_wholesale_cost), sum(store_sales.ss_list_price), sum(store_sales.ss_coupon_amt)], ordering_mode=PartiallySorted([12])
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(ss_item_sk@0, i_item_sk@0)], projection=[ss_wholesale_cost@1, ss_list_price@2, ss_coupon_amt@3, d_year@4, d_year@7, d_year@8, s_store_name@5, s_zip@6, ca_street_number@9, ca_street_name@10, ca_city@11, ca_zip@12, ca_street_number@13, ca_street_name@14, ca_city@15, ca_zip@16, i_item_sk@17, i_product_name@18]
            │       CoalescePartitionsExec
            │         [Stage 50] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │       FilterExec: i_color@2 IN (SET) ([purple, burlywood, indian, spring, floral, medium]) AND i_current_price@1 >= Some(6500),7,2 AND i_current_price@1 <= Some(7400),7,2, projection=[i_item_sk@0, i_product_name@3]
            │         RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │           DistributedLeafExec:
            │             t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_current_price, i_color, i_product_name], file_type=parquet, predicate=i_color@17 IN (SET) ([purple, burlywood, indian, spring, floral, medium]) AND i_current_price@5 >= Some(6500),7,2 AND i_current_price@5 <= Some(7400),7,2 AND DynamicFilter [ empty ], pruning_predicate=(i_color_null_count@2 != row_count@3 AND i_color_min@0 <= purple AND purple <= i_color_max@1 OR i_color_null_count@2 != row_count@3 AND i_color_min@0 <= burlywood AND burlywood <= i_color_max@1 OR i_color_null_count@2 != row_count@3 AND i_color_min@0 <= indian AND indian <= i_color_max@1 OR i_color_null_count@2 != row_count@3 AND i_color_min@0 <= spring AND spring <= i_color_max@1 OR i_color_null_count@2 != row_count@3 AND i_color_min@0 <= floral AND floral <= i_color_max@1 OR i_color_null_count@2 != row_count@3 AND i_color_min@0 <= medium AND medium <= i_color_max@1) AND i_current_price_null_count@5 != row_count@3 AND i_current_price_max@4 >= Some(6500),7,2 AND i_current_price_null_count@5 != row_count@3 AND i_current_price_min@6 <= Some(7400),7,2, required_guarantees=[i_color in (burlywood, floral, indian, medium, purple, spring)]
            │             t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_current_price, i_color, i_product_name], file_type=parquet, predicate=i_color@17 IN (SET) ([purple, burlywood, indian, spring, floral, medium]) AND i_current_price@5 >= Some(6500),7,2 AND i_current_price@5 <= Some(7400),7,2 AND DynamicFilter [ empty ], pruning_predicate=(i_color_null_count@2 != row_count@3 AND i_color_min@0 <= purple AND purple <= i_color_max@1 OR i_color_null_count@2 != row_count@3 AND i_color_min@0 <= burlywood AND burlywood <= i_color_max@1 OR i_color_null_count@2 != row_count@3 AND i_color_min@0 <= indian AND indian <= i_color_max@1 OR i_color_null_count@2 != row_count@3 AND i_color_min@0 <= spring AND spring <= i_color_max@1 OR i_color_null_count@2 != row_count@3 AND i_color_min@0 <= floral AND floral <= i_color_max@1 OR i_color_null_count@2 != row_count@3 AND i_color_min@0 <= medium AND medium <= i_color_max@1) AND i_current_price_null_count@5 != row_count@3 AND i_current_price_max@4 >= Some(6500),7,2 AND i_current_price_null_count@5 != row_count@3 AND i_current_price_min@6 <= Some(7400),7,2, required_guarantees=[i_color in (burlywood, floral, indian, medium, purple, spring)]
            │             t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_current_price, i_color, i_product_name], file_type=parquet, predicate=i_color@17 IN (SET) ([purple, burlywood, indian, spring, floral, medium]) AND i_current_price@5 >= Some(6500),7,2 AND i_current_price@5 <= Some(7400),7,2 AND DynamicFilter [ empty ], pruning_predicate=(i_color_null_count@2 != row_count@3 AND i_color_min@0 <= purple AND purple <= i_color_max@1 OR i_color_null_count@2 != row_count@3 AND i_color_min@0 <= burlywood AND burlywood <= i_color_max@1 OR i_color_null_count@2 != row_count@3 AND i_color_min@0 <= indian AND indian <= i_color_max@1 OR i_color_null_count@2 != row_count@3 AND i_color_min@0 <= spring AND spring <= i_color_max@1 OR i_color_null_count@2 != row_count@3 AND i_color_min@0 <= floral AND floral <= i_color_max@1 OR i_color_null_count@2 != row_count@3 AND i_color_min@0 <= medium AND medium <= i_color_max@1) AND i_current_price_null_count@5 != row_count@3 AND i_current_price_max@4 >= Some(6500),7,2 AND i_current_price_null_count@5 != row_count@3 AND i_current_price_min@6 <= Some(7400),7,2, required_guarantees=[i_color in (burlywood, floral, indian, medium, purple, spring)]
            │             t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_current_price, i_color, i_product_name], file_type=parquet, predicate=i_color@17 IN (SET) ([purple, burlywood, indian, spring, floral, medium]) AND i_current_price@5 >= Some(6500),7,2 AND i_current_price@5 <= Some(7400),7,2 AND DynamicFilter [ empty ], pruning_predicate=(i_color_null_count@2 != row_count@3 AND i_color_min@0 <= purple AND purple <= i_color_max@1 OR i_color_null_count@2 != row_count@3 AND i_color_min@0 <= burlywood AND burlywood <= i_color_max@1 OR i_color_null_count@2 != row_count@3 AND i_color_min@0 <= indian AND indian <= i_color_max@1 OR i_color_null_count@2 != row_count@3 AND i_color_min@0 <= spring AND spring <= i_color_max@1 OR i_color_null_count@2 != row_count@3 AND i_color_min@0 <= floral AND floral <= i_color_max@1 OR i_color_null_count@2 != row_count@3 AND i_color_min@0 <= medium AND medium <= i_color_max@1) AND i_current_price_null_count@5 != row_count@3 AND i_current_price_max@4 >= Some(6500),7,2 AND i_current_price_null_count@5 != row_count@3 AND i_current_price_min@6 <= Some(7400),7,2, required_guarantees=[i_color in (burlywood, floral, indian, medium, purple, spring)]
            └──────────────────────────────────────────────────
              ┌───── Stage 50 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(hd_income_band_sk@9, ib_income_band_sk@0)], projection=[ss_item_sk@0, ss_wholesale_cost@1, ss_list_price@2, ss_coupon_amt@3, d_year@4, s_store_name@5, s_zip@6, d_year@7, d_year@8, ca_street_number@10, ca_street_name@11, ca_city@12, ca_zip@13, ca_street_number@14, ca_street_name@15, ca_city@16, ca_zip@17]
              │     CoalescePartitionsExec
              │       [Stage 49] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
              │     DistributedLeafExec:
              │       t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/income_band/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/income_band/part-1.parquet:<int>..<int>]]}, projection=[ib_income_band_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
              │       t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/income_band/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/income_band/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/income_band/part-2.parquet:<int>..<int>]]}, projection=[ib_income_band_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
              │       t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/income_band/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/income_band/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/income_band/part-3.parquet:<int>..<int>]]}, projection=[ib_income_band_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
              │       t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/income_band/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/income_band/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/income_band/part-3.parquet:<int>..<int>]]}, projection=[ib_income_band_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
                ┌───── Stage 49 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(ib_income_band_sk@0, hd_income_band_sk@9)], projection=[ss_item_sk@1, ss_wholesale_cost@2, ss_list_price@3, ss_coupon_amt@4, d_year@5, s_store_name@6, s_zip@7, d_year@8, d_year@9, hd_income_band_sk@11, ca_street_number@12, ca_street_name@13, ca_city@14, ca_zip@15, ca_street_number@16, ca_street_name@17, ca_city@18, ca_zip@19]
                │     CoalescePartitionsExec
                │       [Stage 27] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
                │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(ca_address_sk@0, c_current_addr_sk@7)], projection=[ss_item_sk@5, ss_wholesale_cost@6, ss_list_price@7, ss_coupon_amt@8, d_year@9, s_store_name@10, s_zip@11, d_year@13, d_year@14, hd_income_band_sk@15, hd_income_band_sk@16, ca_street_number@17, ca_street_name@18, ca_city@19, ca_zip@20, ca_street_number@1, ca_street_name@2, ca_city@3, ca_zip@4]
                │       CoalescePartitionsExec
                │         [Stage 28] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
                │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(ca_address_sk@0, ss_addr_sk@1)], projection=[ss_item_sk@5, ss_wholesale_cost@7, ss_list_price@8, ss_coupon_amt@9, d_year@10, s_store_name@11, s_zip@12, c_current_addr_sk@13, d_year@14, d_year@15, hd_income_band_sk@16, hd_income_band_sk@17, ca_street_number@1, ca_street_name@2, ca_city@3, ca_zip@4]
                │         CoalescePartitionsExec
                │           [Stage 29] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
                │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(hd_demo_sk@0, c_current_hdemo_sk@8)], projection=[ss_item_sk@2, ss_addr_sk@3, ss_wholesale_cost@4, ss_list_price@5, ss_coupon_amt@6, d_year@7, s_store_name@8, s_zip@9, c_current_addr_sk@11, d_year@12, d_year@13, hd_income_band_sk@14, hd_income_band_sk@1]
                │           CoalescePartitionsExec
                │             [Stage 30] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
                │           HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(hd_demo_sk@0, ss_hdemo_sk@1)], projection=[ss_item_sk@2, ss_addr_sk@4, ss_wholesale_cost@5, ss_list_price@6, ss_coupon_amt@7, d_year@8, s_store_name@9, s_zip@10, c_current_hdemo_sk@11, c_current_addr_sk@12, d_year@13, d_year@14, hd_income_band_sk@1]
                │             CoalescePartitionsExec
                │               [Stage 31] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
                │             HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(p_promo_sk@0, ss_promo_sk@3)], projection=[ss_item_sk@1, ss_hdemo_sk@2, ss_addr_sk@3, ss_wholesale_cost@5, ss_list_price@6, ss_coupon_amt@7, d_year@8, s_store_name@9, s_zip@10, c_current_hdemo_sk@11, c_current_addr_sk@12, d_year@13, d_year@14]
                │               CoalescePartitionsExec
                │                 [Stage 32] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
                │               HashJoinExec: mode=Partitioned, join_type=Inner, on=[(cd_demo_sk@0, c_current_cdemo_sk@10)], filter=cd_marital_status@1 != cd_marital_status@0, projection=[ss_item_sk@2, ss_hdemo_sk@3, ss_addr_sk@4, ss_promo_sk@5, ss_wholesale_cost@6, ss_list_price@7, ss_coupon_amt@8, d_year@9, s_store_name@10, s_zip@11, c_current_hdemo_sk@13, c_current_addr_sk@14, d_year@15, d_year@16]
                │                 [Stage 33] => NetworkShuffleExec: output_partitions=3, input_tasks=4
                │                 [Stage 48] => NetworkShuffleExec: output_partitions=3, input_tasks=4
                └──────────────────────────────────────────────────
                  ┌───── Stage 27 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                  │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                  │   DistributedLeafExec:
                  │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/income_band/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/income_band/part-1.parquet:<int>..<int>]]}, projection=[ib_income_band_sk], file_type=parquet
                  │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/income_band/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/income_band/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/income_band/part-2.parquet:<int>..<int>]]}, projection=[ib_income_band_sk], file_type=parquet
                  │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/income_band/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/income_band/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/income_band/part-3.parquet:<int>..<int>]]}, projection=[ib_income_band_sk], file_type=parquet
                  │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/income_band/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/income_band/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/income_band/part-3.parquet:<int>..<int>]]}, projection=[ib_income_band_sk], file_type=parquet
                  └──────────────────────────────────────────────────
                  ┌───── Stage 28 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                  │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                  │   DistributedLeafExec:
                  │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_street_number, ca_street_name, ca_city, ca_zip], file_type=parquet
                  │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_street_number, ca_street_name, ca_city, ca_zip], file_type=parquet
                  │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_street_number, ca_street_name, ca_city, ca_zip], file_type=parquet
                  │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_street_number, ca_street_name, ca_city, ca_zip], file_type=parquet
                  └──────────────────────────────────────────────────
                  ┌───── Stage 29 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                  │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                  │   DistributedLeafExec:
                  │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_street_number, ca_street_name, ca_city, ca_zip], file_type=parquet
                  │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_street_number, ca_street_name, ca_city, ca_zip], file_type=parquet
                  │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_street_number, ca_street_name, ca_city, ca_zip], file_type=parquet
                  │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_street_number, ca_street_name, ca_city, ca_zip], file_type=parquet
                  └──────────────────────────────────────────────────
                  ┌───── Stage 30 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                  │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                  │   DistributedLeafExec:
                  │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_income_band_sk], file_type=parquet
                  │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_income_band_sk], file_type=parquet
                  │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_income_band_sk], file_type=parquet
                  │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-3.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_income_band_sk], file_type=parquet
                  └──────────────────────────────────────────────────
                  ┌───── Stage 31 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                  │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                  │   DistributedLeafExec:
                  │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_income_band_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
                  │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_income_band_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
                  │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_income_band_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
                  │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-3.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_income_band_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
                  └──────────────────────────────────────────────────
                  ┌───── Stage 32 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                  │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                  │   DistributedLeafExec:
                  │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/promotion/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/promotion/part-0.parquet:<int>..<int>]]}, projection=[p_promo_sk], file_type=parquet
                  │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/promotion/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/promotion/part-0.parquet:<int>..<int>]]}, projection=[p_promo_sk], file_type=parquet
                  │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/promotion/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/promotion/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/promotion/part-1.parquet:<int>..<int>]]}, projection=[p_promo_sk], file_type=parquet
                  │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/promotion/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/promotion/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/promotion/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/promotion/part-3.parquet:<int>..<int>]]}, projection=[p_promo_sk], file_type=parquet
                  └──────────────────────────────────────────────────
                  ┌───── Stage 33 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
                  │ RepartitionExec: partitioning=Hash([cd_demo_sk@0], 12), input_partitions=3
                  │   DistributedLeafExec:
                  │     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_marital_status], file_type=parquet
                  │     t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-3.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_marital_status], file_type=parquet
                  │     t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-3.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_marital_status], file_type=parquet
                  │     t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-3.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_marital_status], file_type=parquet
                  └──────────────────────────────────────────────────
                  ┌───── Stage 48 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
                  │ RepartitionExec: partitioning=Hash([c_current_cdemo_sk@10], 12), input_partitions=3
                  │   HashJoinExec: mode=Partitioned, join_type=Inner, on=[(cd_demo_sk@0, ss_cdemo_sk@1)], projection=[ss_item_sk@2, ss_hdemo_sk@4, ss_addr_sk@5, ss_promo_sk@6, ss_wholesale_cost@7, ss_list_price@8, ss_coupon_amt@9, d_year@10, s_store_name@11, s_zip@12, c_current_cdemo_sk@13, c_current_hdemo_sk@14, c_current_addr_sk@15, d_year@16, d_year@17, cd_marital_status@1]
                  │     [Stage 34] => NetworkShuffleExec: output_partitions=3, input_tasks=4
                  │     [Stage 47] => NetworkShuffleExec: output_partitions=3, input_tasks=4
                  └──────────────────────────────────────────────────
                    ┌───── Stage 34 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
                    │ RepartitionExec: partitioning=Hash([cd_demo_sk@0], 12), input_partitions=3
                    │   DistributedLeafExec:
                    │     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_marital_status], file_type=parquet
                    │     t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-3.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_marital_status], file_type=parquet
                    │     t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-3.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_marital_status], file_type=parquet
                    │     t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-3.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_marital_status], file_type=parquet
                    └──────────────────────────────────────────────────
                    ┌───── Stage 47 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
                    │ RepartitionExec: partitioning=Hash([ss_cdemo_sk@1], 12), input_partitions=3
                    │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, c_first_shipto_date_sk@14)], projection=[ss_item_sk@2, ss_cdemo_sk@3, ss_hdemo_sk@4, ss_addr_sk@5, ss_promo_sk@6, ss_wholesale_cost@7, ss_list_price@8, ss_coupon_amt@9, d_year@10, s_store_name@11, s_zip@12, c_current_cdemo_sk@13, c_current_hdemo_sk@14, c_current_addr_sk@15, d_year@17, d_year@1]
                    │     CoalescePartitionsExec
                    │       [Stage 35] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
                    │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, c_first_sales_date_sk@15)], projection=[ss_item_sk@2, ss_cdemo_sk@3, ss_hdemo_sk@4, ss_addr_sk@5, ss_promo_sk@6, ss_wholesale_cost@7, ss_list_price@8, ss_coupon_amt@9, d_year@10, s_store_name@11, s_zip@12, c_current_cdemo_sk@13, c_current_hdemo_sk@14, c_current_addr_sk@15, c_first_shipto_date_sk@16, d_year@1]
                    │       CoalescePartitionsExec
                    │         [Stage 36] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
                    │       HashJoinExec: mode=Partitioned, join_type=Inner, on=[(c_customer_sk@0, ss_customer_sk@1)], projection=[ss_item_sk@6, ss_cdemo_sk@8, ss_hdemo_sk@9, ss_addr_sk@10, ss_promo_sk@11, ss_wholesale_cost@12, ss_list_price@13, ss_coupon_amt@14, d_year@15, s_store_name@16, s_zip@17, c_current_cdemo_sk@1, c_current_hdemo_sk@2, c_current_addr_sk@3, c_first_shipto_date_sk@4, c_first_sales_date_sk@5]
                    │         [Stage 37] => NetworkShuffleExec: output_partitions=3, input_tasks=4
                    │         [Stage 46] => NetworkShuffleExec: output_partitions=3, input_tasks=4
                    └──────────────────────────────────────────────────
                      ┌───── Stage 35 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                      │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                      │   DistributedLeafExec:
                      │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet
                      │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet
                      │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet
                      │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet
                      └──────────────────────────────────────────────────
                      ┌───── Stage 36 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                      │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                      │   DistributedLeafExec:
                      │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet
                      │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet
                      │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet
                      │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet
                      └──────────────────────────────────────────────────
                      ┌───── Stage 37 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
                      │ RepartitionExec: partitioning=Hash([c_customer_sk@0], 12), input_partitions=2
                      │   DistributedLeafExec:
                      │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_cdemo_sk, c_current_hdemo_sk, c_current_addr_sk, c_first_shipto_date_sk, c_first_sales_date_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                      │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_cdemo_sk, c_current_hdemo_sk, c_current_addr_sk, c_first_shipto_date_sk, c_first_sales_date_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                      │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_cdemo_sk, c_current_hdemo_sk, c_current_addr_sk, c_first_shipto_date_sk, c_first_sales_date_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                      │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_cdemo_sk, c_current_hdemo_sk, c_current_addr_sk, c_first_shipto_date_sk, c_first_sales_date_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                      └──────────────────────────────────────────────────
                      ┌───── Stage 46 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
                      │ RepartitionExec: partitioning=Hash([ss_customer_sk@1], 12), input_partitions=3
                      │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(s_store_sk@0, ss_store_sk@5)], projection=[ss_item_sk@3, ss_customer_sk@4, ss_cdemo_sk@5, ss_hdemo_sk@6, ss_addr_sk@7, ss_promo_sk@9, ss_wholesale_cost@10, ss_list_price@11, ss_coupon_amt@12, d_year@13, s_store_name@1, s_zip@2]
                      │     CoalescePartitionsExec
                      │       [Stage 38] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
                      │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[ss_item_sk@3, ss_customer_sk@4, ss_cdemo_sk@5, ss_hdemo_sk@6, ss_addr_sk@7, ss_store_sk@8, ss_promo_sk@9, ss_wholesale_cost@10, ss_list_price@11, ss_coupon_amt@12, d_year@1]
                      │       CoalescePartitionsExec
                      │         [Stage 39] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
                      │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(cs_item_sk@0, ss_item_sk@1)], projection=[ss_sold_date_sk@1, ss_item_sk@2, ss_customer_sk@3, ss_cdemo_sk@4, ss_hdemo_sk@5, ss_addr_sk@6, ss_store_sk@7, ss_promo_sk@8, ss_wholesale_cost@9, ss_list_price@10, ss_coupon_amt@11]
                      │         CoalescePartitionsExec
                      │           [Stage 43] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=2
                      │         HashJoinExec: mode=Partitioned, join_type=Inner, on=[(sr_item_sk@0, ss_item_sk@1), (sr_ticket_number@1, ss_ticket_number@8)], projection=[ss_sold_date_sk@2, ss_item_sk@3, ss_customer_sk@4, ss_cdemo_sk@5, ss_hdemo_sk@6, ss_addr_sk@7, ss_store_sk@8, ss_promo_sk@9, ss_wholesale_cost@11, ss_list_price@12, ss_coupon_amt@13]
                      │           [Stage 44] => NetworkShuffleExec: output_partitions=3, input_tasks=4
                      │           [Stage 45] => NetworkShuffleExec: output_partitions=3, input_tasks=4
                      └──────────────────────────────────────────────────
                        ┌───── Stage 38 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                        │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                        │   DistributedLeafExec:
                        │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name, s_zip], file_type=parquet
                        │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name, s_zip], file_type=parquet
                        │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name, s_zip], file_type=parquet
                        │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name, s_zip], file_type=parquet
                        └──────────────────────────────────────────────────
                        ┌───── Stage 39 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                        │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                        │   FilterExec: d_year@1 = 2000
                        │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                        │       DistributedLeafExec:
                        │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2000, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1, required_guarantees=[d_year in (2000)]
                        │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2000, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1, required_guarantees=[d_year in (2000)]
                        │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2000, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1, required_guarantees=[d_year in (2000)]
                        │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2000, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1, required_guarantees=[d_year in (2000)]
                        └──────────────────────────────────────────────────
                        ┌───── Stage 43 ── Tasks: t0:[p0..p11] t1:[p12..p23]
                        │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                        │   FilterExec: CAST(sum(catalog_sales.cs_ext_list_price)@1 AS Decimal128(38, 2)) > Some(2),20,0 * sum(catalog_returns.cr_refunded_cash + catalog_returns.cr_reversed_charge + catalog_returns.cr_store_credit)@2, projection=[cs_item_sk@0]
                        │     AggregateExec: mode=FinalPartitioned, gby=[cs_item_sk@0 as cs_item_sk], aggr=[sum(catalog_sales.cs_ext_list_price), sum(catalog_returns.cr_refunded_cash + catalog_returns.cr_reversed_charge + catalog_returns.cr_store_credit)]
                        │       [Stage 42] => NetworkShuffleExec: output_partitions=3, input_tasks=4
                        └──────────────────────────────────────────────────
                          ┌───── Stage 42 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
                          │ RepartitionExec: partitioning=Hash([cs_item_sk@0], 6), input_partitions=3
                          │   AggregateExec: mode=Partial, gby=[cs_item_sk@0 as cs_item_sk], aggr=[sum(catalog_sales.cs_ext_list_price), sum(catalog_returns.cr_refunded_cash + catalog_returns.cr_reversed_charge + catalog_returns.cr_store_credit)]
                          │     HashJoinExec: mode=Partitioned, join_type=Inner, on=[(cr_item_sk@0, cs_item_sk@0), (cr_order_number@1, cs_order_number@1)], projection=[cs_item_sk@5, cs_ext_list_price@7, cr_refunded_cash@2, cr_reversed_charge@3, cr_store_credit@4]
                          │       [Stage 40] => NetworkShuffleExec: output_partitions=3, input_tasks=4
                          │       [Stage 41] => NetworkShuffleExec: output_partitions=3, input_tasks=4
                          └──────────────────────────────────────────────────
                            ┌───── Stage 40 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
                            │ RepartitionExec: partitioning=Hash([cr_item_sk@0, cr_order_number@1], 12), input_partitions=3
                            │   DistributedLeafExec:
                            │     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>]]}, projection=[cr_item_sk, cr_order_number, cr_refunded_cash, cr_reversed_charge, cr_store_credit], file_type=parquet
                            │     t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-3.parquet:<int>..<int>]]}, projection=[cr_item_sk, cr_order_number, cr_refunded_cash, cr_reversed_charge, cr_store_credit], file_type=parquet
                            │     t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-3.parquet:<int>..<int>]]}, projection=[cr_item_sk, cr_order_number, cr_refunded_cash, cr_reversed_charge, cr_store_credit], file_type=parquet
                            │     t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-3.parquet:<int>..<int>]]}, projection=[cr_item_sk, cr_order_number, cr_refunded_cash, cr_reversed_charge, cr_store_credit], file_type=parquet
                            └──────────────────────────────────────────────────
                            ┌───── Stage 41 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
                            │ RepartitionExec: partitioning=Hash([cs_item_sk@0, cs_order_number@1], 12), input_partitions=3
                            │   DistributedLeafExec:
                            │     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>]]}, projection=[cs_item_sk, cs_order_number, cs_ext_list_price], file_type=parquet, predicate=DynamicFilter [ empty ]
                            │     t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_item_sk, cs_order_number, cs_ext_list_price], file_type=parquet, predicate=DynamicFilter [ empty ]
                            │     t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_item_sk, cs_order_number, cs_ext_list_price], file_type=parquet, predicate=DynamicFilter [ empty ]
                            │     t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_item_sk, cs_order_number, cs_ext_list_price], file_type=parquet, predicate=DynamicFilter [ empty ]
                            └──────────────────────────────────────────────────
                        ┌───── Stage 44 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
                        │ RepartitionExec: partitioning=Hash([sr_item_sk@0, sr_ticket_number@1], 12), input_partitions=3
                        │   DistributedLeafExec:
                        │     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>]]}, projection=[sr_item_sk, sr_ticket_number], file_type=parquet
                        │     t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-3.parquet:<int>..<int>]]}, projection=[sr_item_sk, sr_ticket_number], file_type=parquet
                        │     t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-3.parquet:<int>..<int>]]}, projection=[sr_item_sk, sr_ticket_number], file_type=parquet
                        │     t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-3.parquet:<int>..<int>]]}, projection=[sr_item_sk, sr_ticket_number], file_type=parquet
                        └──────────────────────────────────────────────────
                        ┌───── Stage 45 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
                        │ RepartitionExec: partitioning=Hash([ss_item_sk@1, ss_ticket_number@8], 12), input_partitions=3
                        │   DistributedLeafExec:
                        │     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_customer_sk, ss_cdemo_sk, ss_hdemo_sk, ss_addr_sk, ss_store_sk, ss_promo_sk, ss_ticket_number, ss_wholesale_cost, ss_list_price, ss_coupon_amt], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                        │     t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_customer_sk, ss_cdemo_sk, ss_hdemo_sk, ss_addr_sk, ss_store_sk, ss_promo_sk, ss_ticket_number, ss_wholesale_cost, ss_list_price, ss_coupon_amt], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                        │     t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_customer_sk, ss_cdemo_sk, ss_hdemo_sk, ss_addr_sk, ss_store_sk, ss_promo_sk, ss_ticket_number, ss_wholesale_cost, ss_list_price, ss_coupon_amt], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                        │     t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_customer_sk, ss_cdemo_sk, ss_hdemo_sk, ss_addr_sk, ss_store_sk, ss_promo_sk, ss_ticket_number, ss_wholesale_cost, ss_list_price, ss_coupon_amt], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                        └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_65() -> Result<()> {
        let display = test_tpcds_query("q65").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [s_store_name@0 ASC, i_item_desc@1 ASC], fetch=100
        │   [Stage 9] => NetworkCoalesceExec: output_partitions=12, input_tasks=4
        └──────────────────────────────────────────────────
          ┌───── Stage 9 ── Tasks: t0:[p0..p2] t1:[p0..p2] t2:[p0..p2] t3:[p0..p2]
          │ SortExec: TopK(fetch=100), expr=[s_store_name@0 ASC, i_item_desc@1 ASC], preserve_partitioning=[true]
          │   HashJoinExec: mode=Partitioned, join_type=Inner, on=[(ss_store_sk@1, ss_store_sk@0)], filter=CAST(revenue@0 AS Decimal128(30, 15)) <= CAST(0.1 * CAST(ave@1 AS Float64) AS Decimal128(30, 15)), projection=[s_store_name@0, i_item_desc@3, revenue@2, i_current_price@4, i_wholesale_cost@5, i_brand@6]
          │     [Stage 5] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          │     ProjectionExec: expr=[ss_store_sk@0 as ss_store_sk, avg(sa.revenue)@1 as ave]
          │       AggregateExec: mode=FinalPartitioned, gby=[ss_store_sk@0 as ss_store_sk], aggr=[avg(sa.revenue)]
          │         [Stage 8] => NetworkShuffleExec: output_partitions=3, input_tasks=2
          └──────────────────────────────────────────────────
            ┌───── Stage 5 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
            │ RepartitionExec: partitioning=Hash([ss_store_sk@1], 12), input_partitions=3
            │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, ss_item_sk@2)], projection=[s_store_name@5, ss_store_sk@6, revenue@8, i_item_desc@1, i_current_price@2, i_wholesale_cost@3, i_brand@4]
            │     CoalescePartitionsExec
            │       [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(s_store_sk@0, ss_store_sk@0)], projection=[s_store_name@1, ss_store_sk@2, ss_item_sk@3, revenue@4]
            │       CoalescePartitionsExec
            │         [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │       ProjectionExec: expr=[ss_store_sk@0 as ss_store_sk, ss_item_sk@1 as ss_item_sk, sum(store_sales.ss_sales_price)@2 as revenue]
            │         AggregateExec: mode=FinalPartitioned, gby=[ss_store_sk@0 as ss_store_sk, ss_item_sk@1 as ss_item_sk], aggr=[sum(store_sales.ss_sales_price)]
            │           [Stage 4] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            └──────────────────────────────────────────────────
              ┌───── Stage 1 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_desc, i_current_price, i_wholesale_cost, i_brand], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_desc, i_current_price, i_wholesale_cost, i_brand], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_desc, i_current_price, i_wholesale_cost, i_brand], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_desc, i_current_price, i_wholesale_cost, i_brand], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 2 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 4 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
              │ RepartitionExec: partitioning=Hash([ss_store_sk@0, ss_item_sk@1], 12), input_partitions=3
              │   AggregateExec: mode=Partial, gby=[ss_store_sk@1 as ss_store_sk, ss_item_sk@0 as ss_item_sk], aggr=[sum(store_sales.ss_sales_price)]
              │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[ss_item_sk@2, ss_store_sk@3, ss_sales_price@4]
              │       CoalescePartitionsExec
              │         [Stage 3] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_store_sk, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │         t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_store_sk, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │         t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_store_sk, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │         t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_store_sk, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
                ┌───── Stage 3 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                │   FilterExec: d_month_seq@1 >= 1176 AND d_month_seq@1 <= 1187, projection=[d_date_sk@0]
                │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_month_seq], file_type=parquet, predicate=d_month_seq@3 >= 1176 AND d_month_seq@3 <= 1187, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1176 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1187, required_guarantees=[]
                │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_month_seq], file_type=parquet, predicate=d_month_seq@3 >= 1176 AND d_month_seq@3 <= 1187, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1176 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1187, required_guarantees=[]
                │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_month_seq], file_type=parquet, predicate=d_month_seq@3 >= 1176 AND d_month_seq@3 <= 1187, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1176 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1187, required_guarantees=[]
                │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_month_seq], file_type=parquet, predicate=d_month_seq@3 >= 1176 AND d_month_seq@3 <= 1187, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1176 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1187, required_guarantees=[]
                └──────────────────────────────────────────────────
            ┌───── Stage 8 ── Tasks: t0:[p0..p11] t1:[p0..p11]
            │ RepartitionExec: partitioning=Hash([ss_store_sk@0], 12), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[ss_store_sk@0 as ss_store_sk], aggr=[avg(sa.revenue)]
            │     ProjectionExec: expr=[ss_store_sk@0 as ss_store_sk, sum(store_sales.ss_sales_price)@2 as revenue]
            │       AggregateExec: mode=FinalPartitioned, gby=[ss_store_sk@0 as ss_store_sk, ss_item_sk@1 as ss_item_sk], aggr=[sum(store_sales.ss_sales_price)]
            │         [Stage 7] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            └──────────────────────────────────────────────────
              ┌───── Stage 7 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
              │ RepartitionExec: partitioning=Hash([ss_store_sk@0, ss_item_sk@1], 6), input_partitions=3
              │   AggregateExec: mode=Partial, gby=[ss_store_sk@1 as ss_store_sk, ss_item_sk@0 as ss_item_sk], aggr=[sum(store_sales.ss_sales_price)]
              │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[ss_item_sk@2, ss_store_sk@3, ss_sales_price@4]
              │       CoalescePartitionsExec
              │         [Stage 6] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_store_sk, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │         t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_store_sk, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │         t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_store_sk, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │         t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_store_sk, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
                ┌───── Stage 6 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                │   FilterExec: d_month_seq@1 >= 1176 AND d_month_seq@1 <= 1187, projection=[d_date_sk@0]
                │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_month_seq], file_type=parquet, predicate=d_month_seq@3 >= 1176 AND d_month_seq@3 <= 1187, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1176 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1187, required_guarantees=[]
                │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_month_seq], file_type=parquet, predicate=d_month_seq@3 >= 1176 AND d_month_seq@3 <= 1187, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1176 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1187, required_guarantees=[]
                │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_month_seq], file_type=parquet, predicate=d_month_seq@3 >= 1176 AND d_month_seq@3 <= 1187, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1176 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1187, required_guarantees=[]
                │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_month_seq], file_type=parquet, predicate=d_month_seq@3 >= 1176 AND d_month_seq@3 <= 1187, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1176 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1187, required_guarantees=[]
                └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_66() -> Result<()> {
        let display = test_tpcds_query("q66").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [w_warehouse_name@0 ASC], fetch=100
        │   SortExec: TopK(fetch=100), expr=[w_warehouse_name@0 ASC], preserve_partitioning=[true]
        │     ProjectionExec: expr=[w_warehouse_name@0 as w_warehouse_name, w_warehouse_sq_ft@1 as w_warehouse_sq_ft, w_city@2 as w_city, w_county@3 as w_county, w_state@4 as w_state, w_country@5 as w_country, ship_carriers@6 as ship_carriers, year_@7 as year_, sum(x.jan_sales)@8 as jan_sales, sum(x.feb_sales)@9 as feb_sales, sum(x.mar_sales)@10 as mar_sales, sum(x.apr_sales)@11 as apr_sales, sum(x.may_sales)@12 as may_sales, sum(x.jun_sales)@13 as jun_sales, sum(x.jul_sales)@14 as jul_sales, sum(x.aug_sales)@15 as aug_sales, sum(x.sep_sales)@16 as sep_sales, sum(x.oct_sales)@17 as oct_sales, sum(x.nov_sales)@18 as nov_sales, sum(x.dec_sales)@19 as dec_sales, sum(x.jan_sales / x.w_warehouse_sq_ft)@20 as jan_sales_per_sq_foot, sum(x.feb_sales / x.w_warehouse_sq_ft)@21 as feb_sales_per_sq_foot, sum(x.mar_sales / x.w_warehouse_sq_ft)@22 as mar_sales_per_sq_foot, sum(x.apr_sales / x.w_warehouse_sq_ft)@23 as apr_sales_per_sq_foot, sum(x.may_sales / x.w_warehouse_sq_ft)@24 as may_sales_per_sq_foot, sum(x.jun_sales / x.w_warehouse_sq_ft)@25 as jun_sales_per_sq_foot, sum(x.jul_sales / x.w_warehouse_sq_ft)@26 as jul_sales_per_sq_foot, sum(x.aug_sales / x.w_warehouse_sq_ft)@27 as aug_sales_per_sq_foot, sum(x.sep_sales / x.w_warehouse_sq_ft)@28 as sep_sales_per_sq_foot, sum(x.oct_sales / x.w_warehouse_sq_ft)@29 as oct_sales_per_sq_foot, sum(x.nov_sales / x.w_warehouse_sq_ft)@30 as nov_sales_per_sq_foot, sum(x.dec_sales / x.w_warehouse_sq_ft)@31 as dec_sales_per_sq_foot, sum(x.jan_net)@32 as jan_net, sum(x.feb_net)@33 as feb_net, sum(x.mar_net)@34 as mar_net, sum(x.apr_net)@35 as apr_net, sum(x.may_net)@36 as may_net, sum(x.jun_net)@37 as jun_net, sum(x.jul_net)@38 as jul_net, sum(x.aug_net)@39 as aug_net, sum(x.sep_net)@40 as sep_net, sum(x.oct_net)@41 as oct_net, sum(x.nov_net)@42 as nov_net, sum(x.dec_net)@43 as dec_net]
        │       AggregateExec: mode=FinalPartitioned, gby=[w_warehouse_name@0 as w_warehouse_name, w_warehouse_sq_ft@1 as w_warehouse_sq_ft, w_city@2 as w_city, w_county@3 as w_county, w_state@4 as w_state, w_country@5 as w_country, ship_carriers@6 as ship_carriers, year_@7 as year_], aggr=[sum(x.jan_sales), sum(x.feb_sales), sum(x.mar_sales), sum(x.apr_sales), sum(x.may_sales), sum(x.jun_sales), sum(x.jul_sales), sum(x.aug_sales), sum(x.sep_sales), sum(x.oct_sales), sum(x.nov_sales), sum(x.dec_sales), sum(x.jan_sales / x.w_warehouse_sq_ft), sum(x.feb_sales / x.w_warehouse_sq_ft), sum(x.mar_sales / x.w_warehouse_sq_ft), sum(x.apr_sales / x.w_warehouse_sq_ft), sum(x.may_sales / x.w_warehouse_sq_ft), sum(x.jun_sales / x.w_warehouse_sq_ft), sum(x.jul_sales / x.w_warehouse_sq_ft), sum(x.aug_sales / x.w_warehouse_sq_ft), sum(x.sep_sales / x.w_warehouse_sq_ft), sum(x.oct_sales / x.w_warehouse_sq_ft), sum(x.nov_sales / x.w_warehouse_sq_ft), sum(x.dec_sales / x.w_warehouse_sq_ft), sum(x.jan_net), sum(x.feb_net), sum(x.mar_net), sum(x.apr_net), sum(x.may_net), sum(x.jun_net), sum(x.jul_net), sum(x.aug_net), sum(x.sep_net), sum(x.oct_net), sum(x.nov_net), sum(x.dec_net)]
        │         [Stage 11] => NetworkShuffleExec: output_partitions=3, input_tasks=2
        └──────────────────────────────────────────────────
          ┌───── Stage 11 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ RepartitionExec: partitioning=Hash([w_warehouse_name@0, w_warehouse_sq_ft@1, w_city@2, w_county@3, w_state@4, w_country@5, ship_carriers@6, year_@7], 3), input_partitions=3
          │   AggregateExec: mode=Partial, gby=[w_warehouse_name@1 as w_warehouse_name, w_warehouse_sq_ft@2 as w_warehouse_sq_ft, w_city@3 as w_city, w_county@4 as w_county, w_state@5 as w_state, w_country@6 as w_country, ship_carriers@7 as ship_carriers, year_@8 as year_], aggr=[sum(x.jan_sales), sum(x.feb_sales), sum(x.mar_sales), sum(x.apr_sales), sum(x.may_sales), sum(x.jun_sales), sum(x.jul_sales), sum(x.aug_sales), sum(x.sep_sales), sum(x.oct_sales), sum(x.nov_sales), sum(x.dec_sales), sum(x.jan_sales / x.w_warehouse_sq_ft), sum(x.feb_sales / x.w_warehouse_sq_ft), sum(x.mar_sales / x.w_warehouse_sq_ft), sum(x.apr_sales / x.w_warehouse_sq_ft), sum(x.may_sales / x.w_warehouse_sq_ft), sum(x.jun_sales / x.w_warehouse_sq_ft), sum(x.jul_sales / x.w_warehouse_sq_ft), sum(x.aug_sales / x.w_warehouse_sq_ft), sum(x.sep_sales / x.w_warehouse_sq_ft), sum(x.oct_sales / x.w_warehouse_sq_ft), sum(x.nov_sales / x.w_warehouse_sq_ft), sum(x.dec_sales / x.w_warehouse_sq_ft), sum(x.jan_net), sum(x.feb_net), sum(x.mar_net), sum(x.apr_net), sum(x.may_net), sum(x.jun_net), sum(x.jul_net), sum(x.aug_net), sum(x.sep_net), sum(x.oct_net), sum(x.nov_net), sum(x.dec_net)]
          │     ProjectionExec: expr=[CAST(w_warehouse_sq_ft@1 AS Decimal128(10, 0)) as __common_expr_1, w_warehouse_name@0 as w_warehouse_name, w_warehouse_sq_ft@1 as w_warehouse_sq_ft, w_city@2 as w_city, w_county@3 as w_county, w_state@4 as w_state, w_country@5 as w_country, ship_carriers@6 as ship_carriers, year_@7 as year_, jan_sales@8 as jan_sales, feb_sales@9 as feb_sales, mar_sales@10 as mar_sales, apr_sales@11 as apr_sales, may_sales@12 as may_sales, jun_sales@13 as jun_sales, jul_sales@14 as jul_sales, aug_sales@15 as aug_sales, sep_sales@16 as sep_sales, oct_sales@17 as oct_sales, nov_sales@18 as nov_sales, dec_sales@19 as dec_sales, jan_net@20 as jan_net, feb_net@21 as feb_net, mar_net@22 as mar_net, apr_net@23 as apr_net, may_net@24 as may_net, jun_net@25 as jun_net, jul_net@26 as jul_net, aug_net@27 as aug_net, sep_net@28 as sep_net, oct_net@29 as oct_net, nov_net@30 as nov_net, dec_net@31 as dec_net]
          │       InterleaveExec
          │         ProjectionExec: expr=[w_warehouse_name@0 as w_warehouse_name, w_warehouse_sq_ft@1 as w_warehouse_sq_ft, w_city@2 as w_city, w_county@3 as w_county, w_state@4 as w_state, w_country@5 as w_country, DHL,BARIAN as ship_carriers, d_year@6 as year_, sum(CASE WHEN date_dim.d_moy = Int64(1) THEN web_sales.ws_ext_sales_price * web_sales.ws_quantity ELSE Int64(0) END)@7 as jan_sales, sum(CASE WHEN date_dim.d_moy = Int64(2) THEN web_sales.ws_ext_sales_price * web_sales.ws_quantity ELSE Int64(0) END)@8 as feb_sales, sum(CASE WHEN date_dim.d_moy = Int64(3) THEN web_sales.ws_ext_sales_price * web_sales.ws_quantity ELSE Int64(0) END)@9 as mar_sales, sum(CASE WHEN date_dim.d_moy = Int64(4) THEN web_sales.ws_ext_sales_price * web_sales.ws_quantity ELSE Int64(0) END)@10 as apr_sales, sum(CASE WHEN date_dim.d_moy = Int64(5) THEN web_sales.ws_ext_sales_price * web_sales.ws_quantity ELSE Int64(0) END)@11 as may_sales, sum(CASE WHEN date_dim.d_moy = Int64(6) THEN web_sales.ws_ext_sales_price * web_sales.ws_quantity ELSE Int64(0) END)@12 as jun_sales, sum(CASE WHEN date_dim.d_moy = Int64(7) THEN web_sales.ws_ext_sales_price * web_sales.ws_quantity ELSE Int64(0) END)@13 as jul_sales, sum(CASE WHEN date_dim.d_moy = Int64(8) THEN web_sales.ws_ext_sales_price * web_sales.ws_quantity ELSE Int64(0) END)@14 as aug_sales, sum(CASE WHEN date_dim.d_moy = Int64(9) THEN web_sales.ws_ext_sales_price * web_sales.ws_quantity ELSE Int64(0) END)@15 as sep_sales, sum(CASE WHEN date_dim.d_moy = Int64(10) THEN web_sales.ws_ext_sales_price * web_sales.ws_quantity ELSE Int64(0) END)@16 as oct_sales, sum(CASE WHEN date_dim.d_moy = Int64(11) THEN web_sales.ws_ext_sales_price * web_sales.ws_quantity ELSE Int64(0) END)@17 as nov_sales, sum(CASE WHEN date_dim.d_moy = Int64(12) THEN web_sales.ws_ext_sales_price * web_sales.ws_quantity ELSE Int64(0) END)@18 as dec_sales, sum(CASE WHEN date_dim.d_moy = Int64(1) THEN web_sales.ws_net_paid * web_sales.ws_quantity ELSE Int64(0) END)@19 as jan_net, sum(CASE WHEN date_dim.d_moy = Int64(2) THEN web_sales.ws_net_paid * web_sales.ws_quantity ELSE Int64(0) END)@20 as feb_net, sum(CASE WHEN date_dim.d_moy = Int64(3) THEN web_sales.ws_net_paid * web_sales.ws_quantity ELSE Int64(0) END)@21 as mar_net, sum(CASE WHEN date_dim.d_moy = Int64(4) THEN web_sales.ws_net_paid * web_sales.ws_quantity ELSE Int64(0) END)@22 as apr_net, sum(CASE WHEN date_dim.d_moy = Int64(5) THEN web_sales.ws_net_paid * web_sales.ws_quantity ELSE Int64(0) END)@23 as may_net, sum(CASE WHEN date_dim.d_moy = Int64(6) THEN web_sales.ws_net_paid * web_sales.ws_quantity ELSE Int64(0) END)@24 as jun_net, sum(CASE WHEN date_dim.d_moy = Int64(7) THEN web_sales.ws_net_paid * web_sales.ws_quantity ELSE Int64(0) END)@25 as jul_net, sum(CASE WHEN date_dim.d_moy = Int64(8) THEN web_sales.ws_net_paid * web_sales.ws_quantity ELSE Int64(0) END)@26 as aug_net, sum(CASE WHEN date_dim.d_moy = Int64(9) THEN web_sales.ws_net_paid * web_sales.ws_quantity ELSE Int64(0) END)@27 as sep_net, sum(CASE WHEN date_dim.d_moy = Int64(10) THEN web_sales.ws_net_paid * web_sales.ws_quantity ELSE Int64(0) END)@28 as oct_net, sum(CASE WHEN date_dim.d_moy = Int64(11) THEN web_sales.ws_net_paid * web_sales.ws_quantity ELSE Int64(0) END)@29 as nov_net, sum(CASE WHEN date_dim.d_moy = Int64(12) THEN web_sales.ws_net_paid * web_sales.ws_quantity ELSE Int64(0) END)@30 as dec_net]
          │           AggregateExec: mode=FinalPartitioned, gby=[w_warehouse_name@0 as w_warehouse_name, w_warehouse_sq_ft@1 as w_warehouse_sq_ft, w_city@2 as w_city, w_county@3 as w_county, w_state@4 as w_state, w_country@5 as w_country, d_year@6 as d_year], aggr=[sum(CASE WHEN __common_expr_2 THEN web_sales.ws_ext_sales_price * web_sales.ws_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(1) THEN web_sales.ws_ext_sales_price * web_sales.ws_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_3 THEN web_sales.ws_ext_sales_price * web_sales.ws_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(2) THEN web_sales.ws_ext_sales_price * web_sales.ws_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_4 THEN web_sales.ws_ext_sales_price * web_sales.ws_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(3) THEN web_sales.ws_ext_sales_price * web_sales.ws_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_5 THEN web_sales.ws_ext_sales_price * web_sales.ws_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(4) THEN web_sales.ws_ext_sales_price * web_sales.ws_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_6 THEN web_sales.ws_ext_sales_price * web_sales.ws_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(5) THEN web_sales.ws_ext_sales_price * web_sales.ws_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_7 THEN web_sales.ws_ext_sales_price * web_sales.ws_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(6) THEN web_sales.ws_ext_sales_price * web_sales.ws_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_8 THEN web_sales.ws_ext_sales_price * web_sales.ws_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(7) THEN web_sales.ws_ext_sales_price * web_sales.ws_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_9 THEN web_sales.ws_ext_sales_price * web_sales.ws_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(8) THEN web_sales.ws_ext_sales_price * web_sales.ws_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_10 THEN web_sales.ws_ext_sales_price * web_sales.ws_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(9) THEN web_sales.ws_ext_sales_price * web_sales.ws_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_11 THEN web_sales.ws_ext_sales_price * web_sales.ws_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(10) THEN web_sales.ws_ext_sales_price * web_sales.ws_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_12 THEN web_sales.ws_ext_sales_price * web_sales.ws_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(11) THEN web_sales.ws_ext_sales_price * web_sales.ws_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_13 THEN web_sales.ws_ext_sales_price * web_sales.ws_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(12) THEN web_sales.ws_ext_sales_price * web_sales.ws_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_2 THEN web_sales.ws_net_paid * web_sales.ws_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(1) THEN web_sales.ws_net_paid * web_sales.ws_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_3 THEN web_sales.ws_net_paid * web_sales.ws_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(2) THEN web_sales.ws_net_paid * web_sales.ws_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_4 THEN web_sales.ws_net_paid * web_sales.ws_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(3) THEN web_sales.ws_net_paid * web_sales.ws_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_5 THEN web_sales.ws_net_paid * web_sales.ws_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(4) THEN web_sales.ws_net_paid * web_sales.ws_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_6 THEN web_sales.ws_net_paid * web_sales.ws_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(5) THEN web_sales.ws_net_paid * web_sales.ws_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_7 THEN web_sales.ws_net_paid * web_sales.ws_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(6) THEN web_sales.ws_net_paid * web_sales.ws_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_8 THEN web_sales.ws_net_paid * web_sales.ws_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(7) THEN web_sales.ws_net_paid * web_sales.ws_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_9 THEN web_sales.ws_net_paid * web_sales.ws_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(8) THEN web_sales.ws_net_paid * web_sales.ws_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_10 THEN web_sales.ws_net_paid * web_sales.ws_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(9) THEN web_sales.ws_net_paid * web_sales.ws_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_11 THEN web_sales.ws_net_paid * web_sales.ws_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(10) THEN web_sales.ws_net_paid * web_sales.ws_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_12 THEN web_sales.ws_net_paid * web_sales.ws_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(11) THEN web_sales.ws_net_paid * web_sales.ws_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_13 THEN web_sales.ws_net_paid * web_sales.ws_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(12) THEN web_sales.ws_net_paid * web_sales.ws_quantity ELSE Int64(0) END)], ordering_mode=PartiallySorted([6])
          │             [Stage 5] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          │         ProjectionExec: expr=[w_warehouse_name@0 as w_warehouse_name, w_warehouse_sq_ft@1 as w_warehouse_sq_ft, w_city@2 as w_city, w_county@3 as w_county, w_state@4 as w_state, w_country@5 as w_country, DHL,BARIAN as ship_carriers, d_year@6 as year_, sum(CASE WHEN date_dim.d_moy = Int64(1) THEN catalog_sales.cs_sales_price * catalog_sales.cs_quantity ELSE Int64(0) END)@7 as jan_sales, sum(CASE WHEN date_dim.d_moy = Int64(2) THEN catalog_sales.cs_sales_price * catalog_sales.cs_quantity ELSE Int64(0) END)@8 as feb_sales, sum(CASE WHEN date_dim.d_moy = Int64(3) THEN catalog_sales.cs_sales_price * catalog_sales.cs_quantity ELSE Int64(0) END)@9 as mar_sales, sum(CASE WHEN date_dim.d_moy = Int64(4) THEN catalog_sales.cs_sales_price * catalog_sales.cs_quantity ELSE Int64(0) END)@10 as apr_sales, sum(CASE WHEN date_dim.d_moy = Int64(5) THEN catalog_sales.cs_sales_price * catalog_sales.cs_quantity ELSE Int64(0) END)@11 as may_sales, sum(CASE WHEN date_dim.d_moy = Int64(6) THEN catalog_sales.cs_sales_price * catalog_sales.cs_quantity ELSE Int64(0) END)@12 as jun_sales, sum(CASE WHEN date_dim.d_moy = Int64(7) THEN catalog_sales.cs_sales_price * catalog_sales.cs_quantity ELSE Int64(0) END)@13 as jul_sales, sum(CASE WHEN date_dim.d_moy = Int64(8) THEN catalog_sales.cs_sales_price * catalog_sales.cs_quantity ELSE Int64(0) END)@14 as aug_sales, sum(CASE WHEN date_dim.d_moy = Int64(9) THEN catalog_sales.cs_sales_price * catalog_sales.cs_quantity ELSE Int64(0) END)@15 as sep_sales, sum(CASE WHEN date_dim.d_moy = Int64(10) THEN catalog_sales.cs_sales_price * catalog_sales.cs_quantity ELSE Int64(0) END)@16 as oct_sales, sum(CASE WHEN date_dim.d_moy = Int64(11) THEN catalog_sales.cs_sales_price * catalog_sales.cs_quantity ELSE Int64(0) END)@17 as nov_sales, sum(CASE WHEN date_dim.d_moy = Int64(12) THEN catalog_sales.cs_sales_price * catalog_sales.cs_quantity ELSE Int64(0) END)@18 as dec_sales, sum(CASE WHEN date_dim.d_moy = Int64(1) THEN catalog_sales.cs_net_paid_inc_tax * catalog_sales.cs_quantity ELSE Int64(0) END)@19 as jan_net, sum(CASE WHEN date_dim.d_moy = Int64(2) THEN catalog_sales.cs_net_paid_inc_tax * catalog_sales.cs_quantity ELSE Int64(0) END)@20 as feb_net, sum(CASE WHEN date_dim.d_moy = Int64(3) THEN catalog_sales.cs_net_paid_inc_tax * catalog_sales.cs_quantity ELSE Int64(0) END)@21 as mar_net, sum(CASE WHEN date_dim.d_moy = Int64(4) THEN catalog_sales.cs_net_paid_inc_tax * catalog_sales.cs_quantity ELSE Int64(0) END)@22 as apr_net, sum(CASE WHEN date_dim.d_moy = Int64(5) THEN catalog_sales.cs_net_paid_inc_tax * catalog_sales.cs_quantity ELSE Int64(0) END)@23 as may_net, sum(CASE WHEN date_dim.d_moy = Int64(6) THEN catalog_sales.cs_net_paid_inc_tax * catalog_sales.cs_quantity ELSE Int64(0) END)@24 as jun_net, sum(CASE WHEN date_dim.d_moy = Int64(7) THEN catalog_sales.cs_net_paid_inc_tax * catalog_sales.cs_quantity ELSE Int64(0) END)@25 as jul_net, sum(CASE WHEN date_dim.d_moy = Int64(8) THEN catalog_sales.cs_net_paid_inc_tax * catalog_sales.cs_quantity ELSE Int64(0) END)@26 as aug_net, sum(CASE WHEN date_dim.d_moy = Int64(9) THEN catalog_sales.cs_net_paid_inc_tax * catalog_sales.cs_quantity ELSE Int64(0) END)@27 as sep_net, sum(CASE WHEN date_dim.d_moy = Int64(10) THEN catalog_sales.cs_net_paid_inc_tax * catalog_sales.cs_quantity ELSE Int64(0) END)@28 as oct_net, sum(CASE WHEN date_dim.d_moy = Int64(11) THEN catalog_sales.cs_net_paid_inc_tax * catalog_sales.cs_quantity ELSE Int64(0) END)@29 as nov_net, sum(CASE WHEN date_dim.d_moy = Int64(12) THEN catalog_sales.cs_net_paid_inc_tax * catalog_sales.cs_quantity ELSE Int64(0) END)@30 as dec_net]
          │           AggregateExec: mode=FinalPartitioned, gby=[w_warehouse_name@0 as w_warehouse_name, w_warehouse_sq_ft@1 as w_warehouse_sq_ft, w_city@2 as w_city, w_county@3 as w_county, w_state@4 as w_state, w_country@5 as w_country, d_year@6 as d_year], aggr=[sum(CASE WHEN __common_expr_14 THEN catalog_sales.cs_sales_price * catalog_sales.cs_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(1) THEN catalog_sales.cs_sales_price * catalog_sales.cs_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_15 THEN catalog_sales.cs_sales_price * catalog_sales.cs_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(2) THEN catalog_sales.cs_sales_price * catalog_sales.cs_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_16 THEN catalog_sales.cs_sales_price * catalog_sales.cs_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(3) THEN catalog_sales.cs_sales_price * catalog_sales.cs_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_17 THEN catalog_sales.cs_sales_price * catalog_sales.cs_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(4) THEN catalog_sales.cs_sales_price * catalog_sales.cs_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_18 THEN catalog_sales.cs_sales_price * catalog_sales.cs_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(5) THEN catalog_sales.cs_sales_price * catalog_sales.cs_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_19 THEN catalog_sales.cs_sales_price * catalog_sales.cs_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(6) THEN catalog_sales.cs_sales_price * catalog_sales.cs_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_20 THEN catalog_sales.cs_sales_price * catalog_sales.cs_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(7) THEN catalog_sales.cs_sales_price * catalog_sales.cs_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_21 THEN catalog_sales.cs_sales_price * catalog_sales.cs_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(8) THEN catalog_sales.cs_sales_price * catalog_sales.cs_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_22 THEN catalog_sales.cs_sales_price * catalog_sales.cs_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(9) THEN catalog_sales.cs_sales_price * catalog_sales.cs_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_23 THEN catalog_sales.cs_sales_price * catalog_sales.cs_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(10) THEN catalog_sales.cs_sales_price * catalog_sales.cs_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_24 THEN catalog_sales.cs_sales_price * catalog_sales.cs_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(11) THEN catalog_sales.cs_sales_price * catalog_sales.cs_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_25 THEN catalog_sales.cs_sales_price * catalog_sales.cs_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(12) THEN catalog_sales.cs_sales_price * catalog_sales.cs_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_14 THEN catalog_sales.cs_net_paid_inc_tax * catalog_sales.cs_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(1) THEN catalog_sales.cs_net_paid_inc_tax * catalog_sales.cs_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_15 THEN catalog_sales.cs_net_paid_inc_tax * catalog_sales.cs_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(2) THEN catalog_sales.cs_net_paid_inc_tax * catalog_sales.cs_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_16 THEN catalog_sales.cs_net_paid_inc_tax * catalog_sales.cs_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(3) THEN catalog_sales.cs_net_paid_inc_tax * catalog_sales.cs_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_17 THEN catalog_sales.cs_net_paid_inc_tax * catalog_sales.cs_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(4) THEN catalog_sales.cs_net_paid_inc_tax * catalog_sales.cs_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_18 THEN catalog_sales.cs_net_paid_inc_tax * catalog_sales.cs_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(5) THEN catalog_sales.cs_net_paid_inc_tax * catalog_sales.cs_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_19 THEN catalog_sales.cs_net_paid_inc_tax * catalog_sales.cs_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(6) THEN catalog_sales.cs_net_paid_inc_tax * catalog_sales.cs_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_20 THEN catalog_sales.cs_net_paid_inc_tax * catalog_sales.cs_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(7) THEN catalog_sales.cs_net_paid_inc_tax * catalog_sales.cs_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_21 THEN catalog_sales.cs_net_paid_inc_tax * catalog_sales.cs_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(8) THEN catalog_sales.cs_net_paid_inc_tax * catalog_sales.cs_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_22 THEN catalog_sales.cs_net_paid_inc_tax * catalog_sales.cs_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(9) THEN catalog_sales.cs_net_paid_inc_tax * catalog_sales.cs_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_23 THEN catalog_sales.cs_net_paid_inc_tax * catalog_sales.cs_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(10) THEN catalog_sales.cs_net_paid_inc_tax * catalog_sales.cs_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_24 THEN catalog_sales.cs_net_paid_inc_tax * catalog_sales.cs_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(11) THEN catalog_sales.cs_net_paid_inc_tax * catalog_sales.cs_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_25 THEN catalog_sales.cs_net_paid_inc_tax * catalog_sales.cs_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(12) THEN catalog_sales.cs_net_paid_inc_tax * catalog_sales.cs_quantity ELSE Int64(0) END)], ordering_mode=PartiallySorted([6])
          │             [Stage 10] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 5 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([w_warehouse_name@0, w_warehouse_sq_ft@1, w_city@2, w_county@3, w_state@4, w_country@5, d_year@6], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[w_warehouse_name@15 as w_warehouse_name, w_warehouse_sq_ft@16 as w_warehouse_sq_ft, w_city@17 as w_city, w_county@18 as w_county, w_state@19 as w_state, w_country@20 as w_country, d_year@21 as d_year], aggr=[sum(CASE WHEN __common_expr_2 THEN web_sales.ws_ext_sales_price * web_sales.ws_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(1) THEN web_sales.ws_ext_sales_price * web_sales.ws_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_3 THEN web_sales.ws_ext_sales_price * web_sales.ws_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(2) THEN web_sales.ws_ext_sales_price * web_sales.ws_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_4 THEN web_sales.ws_ext_sales_price * web_sales.ws_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(3) THEN web_sales.ws_ext_sales_price * web_sales.ws_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_5 THEN web_sales.ws_ext_sales_price * web_sales.ws_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(4) THEN web_sales.ws_ext_sales_price * web_sales.ws_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_6 THEN web_sales.ws_ext_sales_price * web_sales.ws_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(5) THEN web_sales.ws_ext_sales_price * web_sales.ws_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_7 THEN web_sales.ws_ext_sales_price * web_sales.ws_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(6) THEN web_sales.ws_ext_sales_price * web_sales.ws_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_8 THEN web_sales.ws_ext_sales_price * web_sales.ws_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(7) THEN web_sales.ws_ext_sales_price * web_sales.ws_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_9 THEN web_sales.ws_ext_sales_price * web_sales.ws_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(8) THEN web_sales.ws_ext_sales_price * web_sales.ws_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_10 THEN web_sales.ws_ext_sales_price * web_sales.ws_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(9) THEN web_sales.ws_ext_sales_price * web_sales.ws_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_11 THEN web_sales.ws_ext_sales_price * web_sales.ws_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(10) THEN web_sales.ws_ext_sales_price * web_sales.ws_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_12 THEN web_sales.ws_ext_sales_price * web_sales.ws_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(11) THEN web_sales.ws_ext_sales_price * web_sales.ws_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_13 THEN web_sales.ws_ext_sales_price * web_sales.ws_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(12) THEN web_sales.ws_ext_sales_price * web_sales.ws_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_2 THEN web_sales.ws_net_paid * web_sales.ws_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(1) THEN web_sales.ws_net_paid * web_sales.ws_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_3 THEN web_sales.ws_net_paid * web_sales.ws_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(2) THEN web_sales.ws_net_paid * web_sales.ws_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_4 THEN web_sales.ws_net_paid * web_sales.ws_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(3) THEN web_sales.ws_net_paid * web_sales.ws_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_5 THEN web_sales.ws_net_paid * web_sales.ws_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(4) THEN web_sales.ws_net_paid * web_sales.ws_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_6 THEN web_sales.ws_net_paid * web_sales.ws_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(5) THEN web_sales.ws_net_paid * web_sales.ws_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_7 THEN web_sales.ws_net_paid * web_sales.ws_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(6) THEN web_sales.ws_net_paid * web_sales.ws_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_8 THEN web_sales.ws_net_paid * web_sales.ws_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(7) THEN web_sales.ws_net_paid * web_sales.ws_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_9 THEN web_sales.ws_net_paid * web_sales.ws_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(8) THEN web_sales.ws_net_paid * web_sales.ws_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_10 THEN web_sales.ws_net_paid * web_sales.ws_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(9) THEN web_sales.ws_net_paid * web_sales.ws_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_11 THEN web_sales.ws_net_paid * web_sales.ws_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(10) THEN web_sales.ws_net_paid * web_sales.ws_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_12 THEN web_sales.ws_net_paid * web_sales.ws_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(11) THEN web_sales.ws_net_paid * web_sales.ws_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_13 THEN web_sales.ws_net_paid * web_sales.ws_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(12) THEN web_sales.ws_net_paid * web_sales.ws_quantity ELSE Int64(0) END)], ordering_mode=PartiallySorted([6])
            │     ProjectionExec: expr=[d_moy@0 = 1 as __common_expr_2, d_moy@0 = 2 as __common_expr_3, d_moy@0 = 3 as __common_expr_4, d_moy@0 = 4 as __common_expr_5, d_moy@0 = 5 as __common_expr_6, d_moy@0 = 6 as __common_expr_7, d_moy@0 = 7 as __common_expr_8, d_moy@0 = 8 as __common_expr_9, d_moy@0 = 9 as __common_expr_10, d_moy@0 = 10 as __common_expr_11, d_moy@0 = 11 as __common_expr_12, d_moy@0 = 12 as __common_expr_13, ws_quantity@1 as ws_quantity, ws_ext_sales_price@2 as ws_ext_sales_price, ws_net_paid@3 as ws_net_paid, w_warehouse_name@4 as w_warehouse_name, w_warehouse_sq_ft@5 as w_warehouse_sq_ft, w_city@6 as w_city, w_county@7 as w_county, w_state@8 as w_state, w_country@9 as w_country, d_year@10 as d_year]
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(sm_ship_mode_sk@0, ws_ship_mode_sk@0)], projection=[d_moy@12, ws_quantity@2, ws_ext_sales_price@3, ws_net_paid@4, w_warehouse_name@5, w_warehouse_sq_ft@6, w_city@7, w_county@8, w_state@9, w_country@10, d_year@11]
            │         CoalescePartitionsExec
            │           [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(t_time_sk@0, ws_sold_time_sk@0)], projection=[ws_ship_mode_sk@2, ws_quantity@3, ws_ext_sales_price@4, ws_net_paid@5, w_warehouse_name@6, w_warehouse_sq_ft@7, w_city@8, w_county@9, w_state@10, w_country@11, d_year@12, d_moy@13]
            │           CoalescePartitionsExec
            │             [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │           HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ws_sold_date_sk@0)], projection=[ws_sold_time_sk@4, ws_ship_mode_sk@5, ws_quantity@6, ws_ext_sales_price@7, ws_net_paid@8, w_warehouse_name@9, w_warehouse_sq_ft@10, w_city@11, w_county@12, w_state@13, w_country@14, d_year@1, d_moy@2]
            │             CoalescePartitionsExec
            │               [Stage 3] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │             HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(w_warehouse_sk@0, ws_warehouse_sk@3)], projection=[ws_sold_date_sk@7, ws_sold_time_sk@8, ws_ship_mode_sk@9, ws_quantity@11, ws_ext_sales_price@12, ws_net_paid@13, w_warehouse_name@1, w_warehouse_sq_ft@2, w_city@3, w_county@4, w_state@5, w_country@6]
            │               CoalescePartitionsExec
            │                 [Stage 4] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │               DistributedLeafExec:
            │                 t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_sold_time_sk, ws_ship_mode_sk, ws_warehouse_sk, ws_quantity, ws_ext_sales_price, ws_net_paid], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │                 t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_sold_time_sk, ws_ship_mode_sk, ws_warehouse_sk, ws_quantity, ws_ext_sales_price, ws_net_paid], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │                 t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_sold_time_sk, ws_ship_mode_sk, ws_warehouse_sk, ws_quantity, ws_ext_sales_price, ws_net_paid], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │                 t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_sold_time_sk, ws_ship_mode_sk, ws_warehouse_sk, ws_quantity, ws_ext_sales_price, ws_net_paid], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 1 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: sm_carrier@1 = DHL OR sm_carrier@1 = BARIAN, projection=[sm_ship_mode_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/ship_mode/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/ship_mode/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/ship_mode/part-1.parquet:<int>..<int>]]}, projection=[sm_ship_mode_sk, sm_carrier], file_type=parquet, predicate=sm_carrier@4 = DHL OR sm_carrier@4 = BARIAN, pruning_predicate=sm_carrier_null_count@2 != row_count@3 AND sm_carrier_min@0 <= DHL AND DHL <= sm_carrier_max@1 OR sm_carrier_null_count@2 != row_count@3 AND sm_carrier_min@0 <= BARIAN AND BARIAN <= sm_carrier_max@1, required_guarantees=[sm_carrier in (BARIAN, DHL)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/ship_mode/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/ship_mode/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/ship_mode/part-2.parquet:<int>..<int>]]}, projection=[sm_ship_mode_sk, sm_carrier], file_type=parquet, predicate=sm_carrier@4 = DHL OR sm_carrier@4 = BARIAN, pruning_predicate=sm_carrier_null_count@2 != row_count@3 AND sm_carrier_min@0 <= DHL AND DHL <= sm_carrier_max@1 OR sm_carrier_null_count@2 != row_count@3 AND sm_carrier_min@0 <= BARIAN AND BARIAN <= sm_carrier_max@1, required_guarantees=[sm_carrier in (BARIAN, DHL)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/ship_mode/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/ship_mode/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/ship_mode/part-3.parquet:<int>..<int>]]}, projection=[sm_ship_mode_sk, sm_carrier], file_type=parquet, predicate=sm_carrier@4 = DHL OR sm_carrier@4 = BARIAN, pruning_predicate=sm_carrier_null_count@2 != row_count@3 AND sm_carrier_min@0 <= DHL AND DHL <= sm_carrier_max@1 OR sm_carrier_null_count@2 != row_count@3 AND sm_carrier_min@0 <= BARIAN AND BARIAN <= sm_carrier_max@1, required_guarantees=[sm_carrier in (BARIAN, DHL)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/ship_mode/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/ship_mode/part-3.parquet:<int>..<int>]]}, projection=[sm_ship_mode_sk, sm_carrier], file_type=parquet, predicate=sm_carrier@4 = DHL OR sm_carrier@4 = BARIAN, pruning_predicate=sm_carrier_null_count@2 != row_count@3 AND sm_carrier_min@0 <= DHL AND DHL <= sm_carrier_max@1 OR sm_carrier_null_count@2 != row_count@3 AND sm_carrier_min@0 <= BARIAN AND BARIAN <= sm_carrier_max@1, required_guarantees=[sm_carrier in (BARIAN, DHL)]
              └──────────────────────────────────────────────────
              ┌───── Stage 2 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: t_time@1 >= 30838 AND t_time@1 <= 59638, projection=[t_time_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/time_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/time_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/time_dim/part-2.parquet:<int>..<int>]]}, projection=[t_time_sk, t_time], file_type=parquet, predicate=t_time@2 >= 30838 AND t_time@2 <= 59638, pruning_predicate=t_time_null_count@1 != row_count@2 AND t_time_max@0 >= 30838 AND t_time_null_count@1 != row_count@2 AND t_time_min@3 <= 59638, required_guarantees=[]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/time_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/time_dim/part-2.parquet:<int>..<int>]]}, projection=[t_time_sk, t_time], file_type=parquet, predicate=t_time@2 >= 30838 AND t_time@2 <= 59638, pruning_predicate=t_time_null_count@1 != row_count@2 AND t_time_max@0 >= 30838 AND t_time_null_count@1 != row_count@2 AND t_time_min@3 <= 59638, required_guarantees=[]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/time_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/time_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/time_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/time_dim/part-3.parquet:<int>..<int>]]}, projection=[t_time_sk, t_time], file_type=parquet, predicate=t_time@2 >= 30838 AND t_time@2 <= 59638, pruning_predicate=t_time_null_count@1 != row_count@2 AND t_time_max@0 >= 30838 AND t_time_null_count@1 != row_count@2 AND t_time_min@3 <= 59638, required_guarantees=[]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/time_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/time_dim/part-3.parquet:<int>..<int>]]}, projection=[t_time_sk, t_time], file_type=parquet, predicate=t_time@2 >= 30838 AND t_time@2 <= 59638, pruning_predicate=t_time_null_count@1 != row_count@2 AND t_time_max@0 >= 30838 AND t_time_null_count@1 != row_count@2 AND t_time_min@3 <= 59638, required_guarantees=[]
              └──────────────────────────────────────────────────
              ┌───── Stage 3 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_year@1 = 2001
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
              └──────────────────────────────────────────────────
              ┌───── Stage 4 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/warehouse/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/warehouse/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/warehouse/part-1.parquet:<int>..<int>]]}, projection=[w_warehouse_sk, w_warehouse_name, w_warehouse_sq_ft, w_city, w_county, w_state, w_country], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/warehouse/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/warehouse/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/warehouse/part-2.parquet:<int>..<int>]]}, projection=[w_warehouse_sk, w_warehouse_name, w_warehouse_sq_ft, w_city, w_county, w_state, w_country], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/warehouse/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/warehouse/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/warehouse/part-3.parquet:<int>..<int>]]}, projection=[w_warehouse_sk, w_warehouse_name, w_warehouse_sq_ft, w_city, w_county, w_state, w_country], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/warehouse/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/warehouse/part-3.parquet:<int>..<int>]]}, projection=[w_warehouse_sk, w_warehouse_name, w_warehouse_sq_ft, w_city, w_county, w_state, w_country], file_type=parquet
              └──────────────────────────────────────────────────
            ┌───── Stage 10 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([w_warehouse_name@0, w_warehouse_sq_ft@1, w_city@2, w_county@3, w_state@4, w_country@5, d_year@6], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[w_warehouse_name@15 as w_warehouse_name, w_warehouse_sq_ft@16 as w_warehouse_sq_ft, w_city@17 as w_city, w_county@18 as w_county, w_state@19 as w_state, w_country@20 as w_country, d_year@21 as d_year], aggr=[sum(CASE WHEN __common_expr_14 THEN catalog_sales.cs_sales_price * catalog_sales.cs_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(1) THEN catalog_sales.cs_sales_price * catalog_sales.cs_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_15 THEN catalog_sales.cs_sales_price * catalog_sales.cs_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(2) THEN catalog_sales.cs_sales_price * catalog_sales.cs_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_16 THEN catalog_sales.cs_sales_price * catalog_sales.cs_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(3) THEN catalog_sales.cs_sales_price * catalog_sales.cs_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_17 THEN catalog_sales.cs_sales_price * catalog_sales.cs_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(4) THEN catalog_sales.cs_sales_price * catalog_sales.cs_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_18 THEN catalog_sales.cs_sales_price * catalog_sales.cs_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(5) THEN catalog_sales.cs_sales_price * catalog_sales.cs_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_19 THEN catalog_sales.cs_sales_price * catalog_sales.cs_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(6) THEN catalog_sales.cs_sales_price * catalog_sales.cs_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_20 THEN catalog_sales.cs_sales_price * catalog_sales.cs_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(7) THEN catalog_sales.cs_sales_price * catalog_sales.cs_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_21 THEN catalog_sales.cs_sales_price * catalog_sales.cs_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(8) THEN catalog_sales.cs_sales_price * catalog_sales.cs_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_22 THEN catalog_sales.cs_sales_price * catalog_sales.cs_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(9) THEN catalog_sales.cs_sales_price * catalog_sales.cs_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_23 THEN catalog_sales.cs_sales_price * catalog_sales.cs_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(10) THEN catalog_sales.cs_sales_price * catalog_sales.cs_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_24 THEN catalog_sales.cs_sales_price * catalog_sales.cs_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(11) THEN catalog_sales.cs_sales_price * catalog_sales.cs_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_25 THEN catalog_sales.cs_sales_price * catalog_sales.cs_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(12) THEN catalog_sales.cs_sales_price * catalog_sales.cs_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_14 THEN catalog_sales.cs_net_paid_inc_tax * catalog_sales.cs_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(1) THEN catalog_sales.cs_net_paid_inc_tax * catalog_sales.cs_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_15 THEN catalog_sales.cs_net_paid_inc_tax * catalog_sales.cs_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(2) THEN catalog_sales.cs_net_paid_inc_tax * catalog_sales.cs_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_16 THEN catalog_sales.cs_net_paid_inc_tax * catalog_sales.cs_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(3) THEN catalog_sales.cs_net_paid_inc_tax * catalog_sales.cs_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_17 THEN catalog_sales.cs_net_paid_inc_tax * catalog_sales.cs_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(4) THEN catalog_sales.cs_net_paid_inc_tax * catalog_sales.cs_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_18 THEN catalog_sales.cs_net_paid_inc_tax * catalog_sales.cs_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(5) THEN catalog_sales.cs_net_paid_inc_tax * catalog_sales.cs_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_19 THEN catalog_sales.cs_net_paid_inc_tax * catalog_sales.cs_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(6) THEN catalog_sales.cs_net_paid_inc_tax * catalog_sales.cs_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_20 THEN catalog_sales.cs_net_paid_inc_tax * catalog_sales.cs_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(7) THEN catalog_sales.cs_net_paid_inc_tax * catalog_sales.cs_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_21 THEN catalog_sales.cs_net_paid_inc_tax * catalog_sales.cs_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(8) THEN catalog_sales.cs_net_paid_inc_tax * catalog_sales.cs_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_22 THEN catalog_sales.cs_net_paid_inc_tax * catalog_sales.cs_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(9) THEN catalog_sales.cs_net_paid_inc_tax * catalog_sales.cs_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_23 THEN catalog_sales.cs_net_paid_inc_tax * catalog_sales.cs_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(10) THEN catalog_sales.cs_net_paid_inc_tax * catalog_sales.cs_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_24 THEN catalog_sales.cs_net_paid_inc_tax * catalog_sales.cs_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(11) THEN catalog_sales.cs_net_paid_inc_tax * catalog_sales.cs_quantity ELSE Int64(0) END), sum(CASE WHEN __common_expr_25 THEN catalog_sales.cs_net_paid_inc_tax * catalog_sales.cs_quantity ELSE Some(0),22,2 END) as sum(CASE WHEN date_dim.d_moy = Int64(12) THEN catalog_sales.cs_net_paid_inc_tax * catalog_sales.cs_quantity ELSE Int64(0) END)], ordering_mode=PartiallySorted([6])
            │     ProjectionExec: expr=[d_moy@0 = 1 as __common_expr_14, d_moy@0 = 2 as __common_expr_15, d_moy@0 = 3 as __common_expr_16, d_moy@0 = 4 as __common_expr_17, d_moy@0 = 5 as __common_expr_18, d_moy@0 = 6 as __common_expr_19, d_moy@0 = 7 as __common_expr_20, d_moy@0 = 8 as __common_expr_21, d_moy@0 = 9 as __common_expr_22, d_moy@0 = 10 as __common_expr_23, d_moy@0 = 11 as __common_expr_24, d_moy@0 = 12 as __common_expr_25, cs_quantity@1 as cs_quantity, cs_sales_price@2 as cs_sales_price, cs_net_paid_inc_tax@3 as cs_net_paid_inc_tax, w_warehouse_name@4 as w_warehouse_name, w_warehouse_sq_ft@5 as w_warehouse_sq_ft, w_city@6 as w_city, w_county@7 as w_county, w_state@8 as w_state, w_country@9 as w_country, d_year@10 as d_year]
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(sm_ship_mode_sk@0, cs_ship_mode_sk@0)], projection=[d_moy@12, cs_quantity@2, cs_sales_price@3, cs_net_paid_inc_tax@4, w_warehouse_name@5, w_warehouse_sq_ft@6, w_city@7, w_county@8, w_state@9, w_country@10, d_year@11]
            │         CoalescePartitionsExec
            │           [Stage 6] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(t_time_sk@0, cs_sold_time_sk@0)], projection=[cs_ship_mode_sk@2, cs_quantity@3, cs_sales_price@4, cs_net_paid_inc_tax@5, w_warehouse_name@6, w_warehouse_sq_ft@7, w_city@8, w_county@9, w_state@10, w_country@11, d_year@12, d_moy@13]
            │           CoalescePartitionsExec
            │             [Stage 7] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │           HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, cs_sold_date_sk@0)], projection=[cs_sold_time_sk@4, cs_ship_mode_sk@5, cs_quantity@6, cs_sales_price@7, cs_net_paid_inc_tax@8, w_warehouse_name@9, w_warehouse_sq_ft@10, w_city@11, w_county@12, w_state@13, w_country@14, d_year@1, d_moy@2]
            │             CoalescePartitionsExec
            │               [Stage 8] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │             HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(w_warehouse_sk@0, cs_warehouse_sk@3)], projection=[cs_sold_date_sk@7, cs_sold_time_sk@8, cs_ship_mode_sk@9, cs_quantity@11, cs_sales_price@12, cs_net_paid_inc_tax@13, w_warehouse_name@1, w_warehouse_sq_ft@2, w_city@3, w_county@4, w_state@5, w_country@6]
            │               CoalescePartitionsExec
            │                 [Stage 9] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │               DistributedLeafExec:
            │                 t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_sold_time_sk, cs_ship_mode_sk, cs_warehouse_sk, cs_quantity, cs_sales_price, cs_net_paid_inc_tax], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │                 t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_sold_time_sk, cs_ship_mode_sk, cs_warehouse_sk, cs_quantity, cs_sales_price, cs_net_paid_inc_tax], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │                 t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_sold_time_sk, cs_ship_mode_sk, cs_warehouse_sk, cs_quantity, cs_sales_price, cs_net_paid_inc_tax], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │                 t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_sold_time_sk, cs_ship_mode_sk, cs_warehouse_sk, cs_quantity, cs_sales_price, cs_net_paid_inc_tax], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 6 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: sm_carrier@1 = DHL OR sm_carrier@1 = BARIAN, projection=[sm_ship_mode_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/ship_mode/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/ship_mode/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/ship_mode/part-1.parquet:<int>..<int>]]}, projection=[sm_ship_mode_sk, sm_carrier], file_type=parquet, predicate=sm_carrier@4 = DHL OR sm_carrier@4 = BARIAN, pruning_predicate=sm_carrier_null_count@2 != row_count@3 AND sm_carrier_min@0 <= DHL AND DHL <= sm_carrier_max@1 OR sm_carrier_null_count@2 != row_count@3 AND sm_carrier_min@0 <= BARIAN AND BARIAN <= sm_carrier_max@1, required_guarantees=[sm_carrier in (BARIAN, DHL)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/ship_mode/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/ship_mode/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/ship_mode/part-2.parquet:<int>..<int>]]}, projection=[sm_ship_mode_sk, sm_carrier], file_type=parquet, predicate=sm_carrier@4 = DHL OR sm_carrier@4 = BARIAN, pruning_predicate=sm_carrier_null_count@2 != row_count@3 AND sm_carrier_min@0 <= DHL AND DHL <= sm_carrier_max@1 OR sm_carrier_null_count@2 != row_count@3 AND sm_carrier_min@0 <= BARIAN AND BARIAN <= sm_carrier_max@1, required_guarantees=[sm_carrier in (BARIAN, DHL)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/ship_mode/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/ship_mode/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/ship_mode/part-3.parquet:<int>..<int>]]}, projection=[sm_ship_mode_sk, sm_carrier], file_type=parquet, predicate=sm_carrier@4 = DHL OR sm_carrier@4 = BARIAN, pruning_predicate=sm_carrier_null_count@2 != row_count@3 AND sm_carrier_min@0 <= DHL AND DHL <= sm_carrier_max@1 OR sm_carrier_null_count@2 != row_count@3 AND sm_carrier_min@0 <= BARIAN AND BARIAN <= sm_carrier_max@1, required_guarantees=[sm_carrier in (BARIAN, DHL)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/ship_mode/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/ship_mode/part-3.parquet:<int>..<int>]]}, projection=[sm_ship_mode_sk, sm_carrier], file_type=parquet, predicate=sm_carrier@4 = DHL OR sm_carrier@4 = BARIAN, pruning_predicate=sm_carrier_null_count@2 != row_count@3 AND sm_carrier_min@0 <= DHL AND DHL <= sm_carrier_max@1 OR sm_carrier_null_count@2 != row_count@3 AND sm_carrier_min@0 <= BARIAN AND BARIAN <= sm_carrier_max@1, required_guarantees=[sm_carrier in (BARIAN, DHL)]
              └──────────────────────────────────────────────────
              ┌───── Stage 7 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: t_time@1 >= 30838 AND t_time@1 <= 59638, projection=[t_time_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/time_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/time_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/time_dim/part-2.parquet:<int>..<int>]]}, projection=[t_time_sk, t_time], file_type=parquet, predicate=t_time@2 >= 30838 AND t_time@2 <= 59638, pruning_predicate=t_time_null_count@1 != row_count@2 AND t_time_max@0 >= 30838 AND t_time_null_count@1 != row_count@2 AND t_time_min@3 <= 59638, required_guarantees=[]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/time_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/time_dim/part-2.parquet:<int>..<int>]]}, projection=[t_time_sk, t_time], file_type=parquet, predicate=t_time@2 >= 30838 AND t_time@2 <= 59638, pruning_predicate=t_time_null_count@1 != row_count@2 AND t_time_max@0 >= 30838 AND t_time_null_count@1 != row_count@2 AND t_time_min@3 <= 59638, required_guarantees=[]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/time_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/time_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/time_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/time_dim/part-3.parquet:<int>..<int>]]}, projection=[t_time_sk, t_time], file_type=parquet, predicate=t_time@2 >= 30838 AND t_time@2 <= 59638, pruning_predicate=t_time_null_count@1 != row_count@2 AND t_time_max@0 >= 30838 AND t_time_null_count@1 != row_count@2 AND t_time_min@3 <= 59638, required_guarantees=[]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/time_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/time_dim/part-3.parquet:<int>..<int>]]}, projection=[t_time_sk, t_time], file_type=parquet, predicate=t_time@2 >= 30838 AND t_time@2 <= 59638, pruning_predicate=t_time_null_count@1 != row_count@2 AND t_time_max@0 >= 30838 AND t_time_null_count@1 != row_count@2 AND t_time_min@3 <= 59638, required_guarantees=[]
              └──────────────────────────────────────────────────
              ┌───── Stage 8 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_year@1 = 2001
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
              └──────────────────────────────────────────────────
              ┌───── Stage 9 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/warehouse/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/warehouse/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/warehouse/part-1.parquet:<int>..<int>]]}, projection=[w_warehouse_sk, w_warehouse_name, w_warehouse_sq_ft, w_city, w_county, w_state, w_country], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/warehouse/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/warehouse/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/warehouse/part-2.parquet:<int>..<int>]]}, projection=[w_warehouse_sk, w_warehouse_name, w_warehouse_sq_ft, w_city, w_county, w_state, w_country], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/warehouse/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/warehouse/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/warehouse/part-3.parquet:<int>..<int>]]}, projection=[w_warehouse_sk, w_warehouse_name, w_warehouse_sq_ft, w_city, w_county, w_state, w_country], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/warehouse/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/warehouse/part-3.parquet:<int>..<int>]]}, projection=[w_warehouse_sk, w_warehouse_name, w_warehouse_sq_ft, w_city, w_county, w_state, w_country], file_type=parquet
              └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_67() -> Result<()> {
        let display = test_tpcds_query("q67").await?;
        assert_snapshot!(display, @r#"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [i_category@0 ASC, i_class@1 ASC, i_brand@2 ASC, i_product_name@3 ASC, d_year@4 ASC, d_qoy@5 ASC, d_moy@6 ASC, s_store_id@7 ASC, sumsales@8 ASC, rk@9 ASC], fetch=100
        │   SortExec: TopK(fetch=100), expr=[i_category@0 ASC, i_class@1 ASC, i_brand@2 ASC, i_product_name@3 ASC, d_year@4 ASC, d_qoy@5 ASC, d_moy@6 ASC, s_store_id@7 ASC, sumsales@8 ASC, rk@9 ASC], preserve_partitioning=[true]
        │     ProjectionExec: expr=[i_category@0 as i_category, i_class@1 as i_class, i_brand@2 as i_brand, i_product_name@3 as i_product_name, d_year@4 as d_year, d_qoy@5 as d_qoy, d_moy@6 as d_moy, s_store_id@7 as s_store_id, sumsales@8 as sumsales, rank() PARTITION BY [dw1.i_category] ORDER BY [dw1.sumsales DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@9 as rk]
        │       FilterExec: rank() PARTITION BY [dw1.i_category] ORDER BY [dw1.sumsales DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@9 <= 100
        │         BoundedWindowAggExec: wdw=[rank() PARTITION BY [dw1.i_category] ORDER BY [dw1.sumsales DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Field { "rank() PARTITION BY [dw1.i_category] ORDER BY [dw1.sumsales DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW": UInt64 }, frame: RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW], mode=[Sorted]
        │           SortExec: expr=[i_category@0 ASC NULLS LAST, sumsales@8 DESC], preserve_partitioning=[true]
        │             [Stage 5] => NetworkShuffleExec: output_partitions=3, input_tasks=2
        └──────────────────────────────────────────────────
          ┌───── Stage 5 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ RepartitionExec: partitioning=Hash([i_category@0], 3), input_partitions=3
          │   ProjectionExec: expr=[i_category@0 as i_category, i_class@1 as i_class, i_brand@2 as i_brand, i_product_name@3 as i_product_name, d_year@4 as d_year, d_qoy@5 as d_qoy, d_moy@6 as d_moy, s_store_id@7 as s_store_id, sum(coalesce(store_sales.ss_sales_price * store_sales.ss_quantity,Int64(0)))@9 as sumsales]
          │     AggregateExec: mode=FinalPartitioned, gby=[i_category@0 as i_category, i_class@1 as i_class, i_brand@2 as i_brand, i_product_name@3 as i_product_name, d_year@4 as d_year, d_qoy@5 as d_qoy, d_moy@6 as d_moy, s_store_id@7 as s_store_id, __grouping_id@8 as __grouping_id], aggr=[sum(CASE WHEN __common_expr_1 IS NOT NULL THEN __common_expr_1 ELSE Some(0),22,2 END) as sum(coalesce(store_sales.ss_sales_price * store_sales.ss_quantity,Int64(0)))]
          │       [Stage 4] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 4 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([i_category@0, i_class@1, i_brand@2, i_product_name@3, d_year@4, d_qoy@5, d_moy@6, s_store_id@7, __grouping_id@8], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[(NULL as i_category, NULL as i_class, NULL as i_brand, NULL as i_product_name, NULL as d_year, NULL as d_qoy, NULL as d_moy, NULL as s_store_id), (i_category@7 as i_category, NULL as i_class, NULL as i_brand, NULL as i_product_name, NULL as d_year, NULL as d_qoy, NULL as d_moy, NULL as s_store_id), (i_category@7 as i_category, i_class@6 as i_class, NULL as i_brand, NULL as i_product_name, NULL as d_year, NULL as d_qoy, NULL as d_moy, NULL as s_store_id), (i_category@7 as i_category, i_class@6 as i_class, i_brand@5 as i_brand, NULL as i_product_name, NULL as d_year, NULL as d_qoy, NULL as d_moy, NULL as s_store_id), (i_category@7 as i_category, i_class@6 as i_class, i_brand@5 as i_brand, i_product_name@8 as i_product_name, NULL as d_year, NULL as d_qoy, NULL as d_moy, NULL as s_store_id), (i_category@7 as i_category, i_class@6 as i_class, i_brand@5 as i_brand, i_product_name@8 as i_product_name, d_year@1 as d_year, NULL as d_qoy, NULL as d_moy, NULL as s_store_id), (i_category@7 as i_category, i_class@6 as i_class, i_brand@5 as i_brand, i_product_name@8 as i_product_name, d_year@1 as d_year, d_qoy@3 as d_qoy, NULL as d_moy, NULL as s_store_id), (i_category@7 as i_category, i_class@6 as i_class, i_brand@5 as i_brand, i_product_name@8 as i_product_name, d_year@1 as d_year, d_qoy@3 as d_qoy, d_moy@2 as d_moy, NULL as s_store_id), (i_category@7 as i_category, i_class@6 as i_class, i_brand@5 as i_brand, i_product_name@8 as i_product_name, d_year@1 as d_year, d_qoy@3 as d_qoy, d_moy@2 as d_moy, s_store_id@4 as s_store_id)], aggr=[sum(CASE WHEN __common_expr_1 IS NOT NULL THEN __common_expr_1 ELSE Some(0),22,2 END) as sum(coalesce(store_sales.ss_sales_price * store_sales.ss_quantity,Int64(0)))]
            │     ProjectionExec: expr=[CAST(ss_sales_price@0 * CAST(ss_quantity@1 AS Decimal128(10, 0)) AS Decimal128(22, 2)) as __common_expr_1, d_year@2 as d_year, d_moy@3 as d_moy, d_qoy@4 as d_qoy, s_store_id@5 as s_store_id, i_brand@6 as i_brand, i_class@7 as i_class, i_category@8 as i_category, i_product_name@9 as i_product_name]
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, ss_item_sk@0)], projection=[ss_sales_price@7, ss_quantity@6, d_year@8, d_moy@9, d_qoy@10, s_store_id@11, i_brand@1, i_class@2, i_category@3, i_product_name@4]
            │         CoalescePartitionsExec
            │           [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(s_store_sk@0, ss_store_sk@1)], projection=[ss_item_sk@2, ss_quantity@4, ss_sales_price@5, d_year@6, d_moy@7, d_qoy@8, s_store_id@1]
            │           CoalescePartitionsExec
            │             [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │           HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[ss_item_sk@5, ss_store_sk@6, ss_quantity@7, ss_sales_price@8, d_year@1, d_moy@2, d_qoy@3]
            │             CoalescePartitionsExec
            │               [Stage 3] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │             DistributedLeafExec:
            │               t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_store_sk, ss_quantity, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │               t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_store_sk, ss_quantity, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │               t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_store_sk, ss_quantity, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │               t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_store_sk, ss_quantity, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 1 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand, i_class, i_category, i_product_name], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand, i_class, i_category, i_product_name], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand, i_class, i_category, i_product_name], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand, i_class, i_category, i_product_name], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 2 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_id], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_id], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_id], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_id], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 3 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_month_seq@1 >= 1200 AND d_month_seq@1 <= 1211, projection=[d_date_sk@0, d_year@2, d_moy@3, d_qoy@4]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_month_seq, d_year, d_moy, d_qoy], file_type=parquet, predicate=d_month_seq@3 >= 1200 AND d_month_seq@3 <= 1211, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1200 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1211, required_guarantees=[]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_month_seq, d_year, d_moy, d_qoy], file_type=parquet, predicate=d_month_seq@3 >= 1200 AND d_month_seq@3 <= 1211, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1200 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1211, required_guarantees=[]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_month_seq, d_year, d_moy, d_qoy], file_type=parquet, predicate=d_month_seq@3 >= 1200 AND d_month_seq@3 <= 1211, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1200 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1211, required_guarantees=[]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_month_seq, d_year, d_moy, d_qoy], file_type=parquet, predicate=d_month_seq@3 >= 1200 AND d_month_seq@3 <= 1211, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1200 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1211, required_guarantees=[]
              └──────────────────────────────────────────────────
        "#);
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_68() -> Result<()> {
        let display = test_tpcds_query("q68").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [c_last_name@0 ASC, ss_ticket_number@4 ASC], fetch=100
        │   [Stage 8] => NetworkCoalesceExec: output_partitions=12, input_tasks=4
        └──────────────────────────────────────────────────
          ┌───── Stage 8 ── Tasks: t0:[p0..p2] t1:[p0..p2] t2:[p0..p2] t3:[p0..p2]
          │ SortExec: TopK(fetch=100), expr=[c_last_name@0 ASC, ss_ticket_number@4 ASC], preserve_partitioning=[true]
          │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(ca_address_sk@0, c_current_addr_sk@5)], filter=bought_city@0 != ca_city@1, projection=[c_last_name@9, c_first_name@8, ca_city@1, bought_city@3, ss_ticket_number@2, extended_price@4, extended_tax@6, list_price@5]
          │     CoalescePartitionsExec
          │       [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
          │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(c_customer_sk@0, ss_customer_sk@1)], projection=[ss_ticket_number@4, bought_city@6, extended_price@7, list_price@8, extended_tax@9, c_current_addr_sk@1, c_first_name@2, c_last_name@3]
          │       CoalescePartitionsExec
          │         [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
          │       ProjectionExec: expr=[ss_ticket_number@0 as ss_ticket_number, ss_customer_sk@1 as ss_customer_sk, ca_city@3 as bought_city, sum(store_sales.ss_ext_sales_price)@4 as extended_price, sum(store_sales.ss_ext_list_price)@5 as list_price, sum(store_sales.ss_ext_tax)@6 as extended_tax]
          │         AggregateExec: mode=FinalPartitioned, gby=[ss_ticket_number@0 as ss_ticket_number, ss_customer_sk@1 as ss_customer_sk, ss_addr_sk@2 as ss_addr_sk, ca_city@3 as ca_city], aggr=[sum(store_sales.ss_ext_sales_price), sum(store_sales.ss_ext_list_price), sum(store_sales.ss_ext_tax)]
          │           [Stage 7] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 1 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
            │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
            │   DistributedLeafExec:
            │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_city], file_type=parquet
            │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_city], file_type=parquet
            │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_city], file_type=parquet
            │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_city], file_type=parquet
            └──────────────────────────────────────────────────
            ┌───── Stage 2 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
            │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
            │   DistributedLeafExec:
            │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_addr_sk, c_first_name, c_last_name], file_type=parquet, predicate=DynamicFilter [ empty ]
            │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_addr_sk, c_first_name, c_last_name], file_type=parquet, predicate=DynamicFilter [ empty ]
            │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_addr_sk, c_first_name, c_last_name], file_type=parquet, predicate=DynamicFilter [ empty ]
            │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_addr_sk, c_first_name, c_last_name], file_type=parquet, predicate=DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
            ┌───── Stage 7 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
            │ RepartitionExec: partitioning=Hash([ss_ticket_number@0, ss_customer_sk@1, ss_addr_sk@2, ca_city@3], 12), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[ss_ticket_number@2 as ss_ticket_number, ss_customer_sk@0 as ss_customer_sk, ss_addr_sk@1 as ss_addr_sk, ca_city@6 as ca_city], aggr=[sum(store_sales.ss_ext_sales_price), sum(store_sales.ss_ext_list_price), sum(store_sales.ss_ext_tax)]
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(ca_address_sk@0, ss_addr_sk@1)], projection=[ss_customer_sk@2, ss_addr_sk@3, ss_ticket_number@4, ss_ext_sales_price@5, ss_ext_list_price@6, ss_ext_tax@7, ca_city@1]
            │       CoalescePartitionsExec
            │         [Stage 3] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(hd_demo_sk@0, ss_hdemo_sk@1)], projection=[ss_customer_sk@1, ss_addr_sk@3, ss_ticket_number@4, ss_ext_sales_price@5, ss_ext_list_price@6, ss_ext_tax@7]
            │         CoalescePartitionsExec
            │           [Stage 4] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(s_store_sk@0, ss_store_sk@3)], projection=[ss_customer_sk@1, ss_hdemo_sk@2, ss_addr_sk@3, ss_ticket_number@5, ss_ext_sales_price@6, ss_ext_list_price@7, ss_ext_tax@8]
            │           CoalescePartitionsExec
            │             [Stage 5] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │           HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[ss_customer_sk@2, ss_hdemo_sk@3, ss_addr_sk@4, ss_store_sk@5, ss_ticket_number@6, ss_ext_sales_price@7, ss_ext_list_price@8, ss_ext_tax@9]
            │             CoalescePartitionsExec
            │               [Stage 6] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │             DistributedLeafExec:
            │               t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_customer_sk, ss_hdemo_sk, ss_addr_sk, ss_store_sk, ss_ticket_number, ss_ext_sales_price, ss_ext_list_price, ss_ext_tax], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │               t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_customer_sk, ss_hdemo_sk, ss_addr_sk, ss_store_sk, ss_ticket_number, ss_ext_sales_price, ss_ext_list_price, ss_ext_tax], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │               t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_customer_sk, ss_hdemo_sk, ss_addr_sk, ss_store_sk, ss_ticket_number, ss_ext_sales_price, ss_ext_list_price, ss_ext_tax], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │               t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_customer_sk, ss_hdemo_sk, ss_addr_sk, ss_store_sk, ss_ticket_number, ss_ext_sales_price, ss_ext_list_price, ss_ext_tax], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 3 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_city], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_city], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_city], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_city], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 4 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: hd_dep_count@1 = 4 OR hd_vehicle_count@2 = 3, projection=[hd_demo_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_dep_count, hd_vehicle_count], file_type=parquet, predicate=hd_dep_count@3 = 4 OR hd_vehicle_count@4 = 3, pruning_predicate=hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 4 AND 4 <= hd_dep_count_max@1 OR hd_vehicle_count_null_count@6 != row_count@3 AND hd_vehicle_count_min@4 <= 3 AND 3 <= hd_vehicle_count_max@5, required_guarantees=[]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_dep_count, hd_vehicle_count], file_type=parquet, predicate=hd_dep_count@3 = 4 OR hd_vehicle_count@4 = 3, pruning_predicate=hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 4 AND 4 <= hd_dep_count_max@1 OR hd_vehicle_count_null_count@6 != row_count@3 AND hd_vehicle_count_min@4 <= 3 AND 3 <= hd_vehicle_count_max@5, required_guarantees=[]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_dep_count, hd_vehicle_count], file_type=parquet, predicate=hd_dep_count@3 = 4 OR hd_vehicle_count@4 = 3, pruning_predicate=hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 4 AND 4 <= hd_dep_count_max@1 OR hd_vehicle_count_null_count@6 != row_count@3 AND hd_vehicle_count_min@4 <= 3 AND 3 <= hd_vehicle_count_max@5, required_guarantees=[]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-3.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_dep_count, hd_vehicle_count], file_type=parquet, predicate=hd_dep_count@3 = 4 OR hd_vehicle_count@4 = 3, pruning_predicate=hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 4 AND 4 <= hd_dep_count_max@1 OR hd_vehicle_count_null_count@6 != row_count@3 AND hd_vehicle_count_min@4 <= 3 AND 3 <= hd_vehicle_count_max@5, required_guarantees=[]
              └──────────────────────────────────────────────────
              ┌───── Stage 5 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: s_city@1 = Fairview OR s_city@1 = Midway, projection=[s_store_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>]]}, projection=[s_store_sk, s_city], file_type=parquet, predicate=s_city@22 = Fairview OR s_city@22 = Midway, pruning_predicate=s_city_null_count@2 != row_count@3 AND s_city_min@0 <= Fairview AND Fairview <= s_city_max@1 OR s_city_null_count@2 != row_count@3 AND s_city_min@0 <= Midway AND Midway <= s_city_max@1, required_guarantees=[s_city in (Fairview, Midway)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>]]}, projection=[s_store_sk, s_city], file_type=parquet, predicate=s_city@22 = Fairview OR s_city@22 = Midway, pruning_predicate=s_city_null_count@2 != row_count@3 AND s_city_min@0 <= Fairview AND Fairview <= s_city_max@1 OR s_city_null_count@2 != row_count@3 AND s_city_min@0 <= Midway AND Midway <= s_city_max@1, required_guarantees=[s_city in (Fairview, Midway)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_city], file_type=parquet, predicate=s_city@22 = Fairview OR s_city@22 = Midway, pruning_predicate=s_city_null_count@2 != row_count@3 AND s_city_min@0 <= Fairview AND Fairview <= s_city_max@1 OR s_city_null_count@2 != row_count@3 AND s_city_min@0 <= Midway AND Midway <= s_city_max@1, required_guarantees=[s_city in (Fairview, Midway)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_city], file_type=parquet, predicate=s_city@22 = Fairview OR s_city@22 = Midway, pruning_predicate=s_city_null_count@2 != row_count@3 AND s_city_min@0 <= Fairview AND Fairview <= s_city_max@1 OR s_city_null_count@2 != row_count@3 AND s_city_min@0 <= Midway AND Midway <= s_city_max@1, required_guarantees=[s_city in (Fairview, Midway)]
              └──────────────────────────────────────────────────
              ┌───── Stage 6 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_dom@2 >= 1 AND d_dom@2 <= 2 AND (d_year@1 = 1999 OR d_year@1 = 2000 OR d_year@1 = 2001), projection=[d_date_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_dom], file_type=parquet, predicate=d_dom@9 >= 1 AND d_dom@9 <= 2 AND (d_year@6 = 1999 OR d_year@6 = 2000 OR d_year@6 = 2001), pruning_predicate=d_dom_null_count@1 != row_count@2 AND d_dom_max@0 >= 1 AND d_dom_null_count@1 != row_count@2 AND d_dom_min@3 <= 2 AND (d_year_null_count@6 != row_count@2 AND d_year_min@4 <= 1999 AND 1999 <= d_year_max@5 OR d_year_null_count@6 != row_count@2 AND d_year_min@4 <= 2000 AND 2000 <= d_year_max@5 OR d_year_null_count@6 != row_count@2 AND d_year_min@4 <= 2001 AND 2001 <= d_year_max@5), required_guarantees=[d_year in (1999, 2000, 2001)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_dom], file_type=parquet, predicate=d_dom@9 >= 1 AND d_dom@9 <= 2 AND (d_year@6 = 1999 OR d_year@6 = 2000 OR d_year@6 = 2001), pruning_predicate=d_dom_null_count@1 != row_count@2 AND d_dom_max@0 >= 1 AND d_dom_null_count@1 != row_count@2 AND d_dom_min@3 <= 2 AND (d_year_null_count@6 != row_count@2 AND d_year_min@4 <= 1999 AND 1999 <= d_year_max@5 OR d_year_null_count@6 != row_count@2 AND d_year_min@4 <= 2000 AND 2000 <= d_year_max@5 OR d_year_null_count@6 != row_count@2 AND d_year_min@4 <= 2001 AND 2001 <= d_year_max@5), required_guarantees=[d_year in (1999, 2000, 2001)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_dom], file_type=parquet, predicate=d_dom@9 >= 1 AND d_dom@9 <= 2 AND (d_year@6 = 1999 OR d_year@6 = 2000 OR d_year@6 = 2001), pruning_predicate=d_dom_null_count@1 != row_count@2 AND d_dom_max@0 >= 1 AND d_dom_null_count@1 != row_count@2 AND d_dom_min@3 <= 2 AND (d_year_null_count@6 != row_count@2 AND d_year_min@4 <= 1999 AND 1999 <= d_year_max@5 OR d_year_null_count@6 != row_count@2 AND d_year_min@4 <= 2000 AND 2000 <= d_year_max@5 OR d_year_null_count@6 != row_count@2 AND d_year_min@4 <= 2001 AND 2001 <= d_year_max@5), required_guarantees=[d_year in (1999, 2000, 2001)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_dom], file_type=parquet, predicate=d_dom@9 >= 1 AND d_dom@9 <= 2 AND (d_year@6 = 1999 OR d_year@6 = 2000 OR d_year@6 = 2001), pruning_predicate=d_dom_null_count@1 != row_count@2 AND d_dom_max@0 >= 1 AND d_dom_null_count@1 != row_count@2 AND d_dom_min@3 <= 2 AND (d_year_null_count@6 != row_count@2 AND d_year_min@4 <= 1999 AND 1999 <= d_year_max@5 OR d_year_null_count@6 != row_count@2 AND d_year_min@4 <= 2000 AND 2000 <= d_year_max@5 OR d_year_null_count@6 != row_count@2 AND d_year_min@4 <= 2001 AND 2001 <= d_year_max@5), required_guarantees=[d_year in (1999, 2000, 2001)]
              └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_69() -> Result<()> {
        let display = test_tpcds_query("q69").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [cd_gender@0 ASC NULLS LAST, cd_marital_status@1 ASC NULLS LAST, cd_education_status@2 ASC NULLS LAST, cd_purchase_estimate@4 ASC NULLS LAST, cd_credit_rating@6 ASC NULLS LAST], fetch=100
        │   SortExec: TopK(fetch=100), expr=[cd_gender@0 ASC NULLS LAST, cd_marital_status@1 ASC NULLS LAST, cd_education_status@2 ASC NULLS LAST, cd_purchase_estimate@4 ASC NULLS LAST, cd_credit_rating@6 ASC NULLS LAST], preserve_partitioning=[true]
        │     ProjectionExec: expr=[cd_gender@0 as cd_gender, cd_marital_status@1 as cd_marital_status, cd_education_status@2 as cd_education_status, count(Int64(1))@5 as cnt1, cd_purchase_estimate@3 as cd_purchase_estimate, count(Int64(1))@5 as cnt2, cd_credit_rating@4 as cd_credit_rating, count(Int64(1))@5 as cnt3]
        │       AggregateExec: mode=FinalPartitioned, gby=[cd_gender@0 as cd_gender, cd_marital_status@1 as cd_marital_status, cd_education_status@2 as cd_education_status, cd_purchase_estimate@3 as cd_purchase_estimate, cd_credit_rating@4 as cd_credit_rating], aggr=[count(Int64(1))]
        │         RepartitionExec: partitioning=Hash([cd_gender@0, cd_marital_status@1, cd_education_status@2, cd_purchase_estimate@3, cd_credit_rating@4], 3), input_partitions=3
        │           AggregateExec: mode=Partial, gby=[cd_gender@0 as cd_gender, cd_marital_status@1 as cd_marital_status, cd_education_status@2 as cd_education_status, cd_purchase_estimate@3 as cd_purchase_estimate, cd_credit_rating@4 as cd_credit_rating], aggr=[count(Int64(1))]
        │             HashJoinExec: mode=CollectLeft, join_type=LeftAnti, on=[(c_customer_sk@0, cs_ship_customer_sk@0)], projection=[cd_gender@1, cd_marital_status@2, cd_education_status@3, cd_purchase_estimate@4, cd_credit_rating@5]
        │               CoalescePartitionsExec
        │                 HashJoinExec: mode=CollectLeft, join_type=LeftAnti, on=[(c_customer_sk@0, ws_bill_customer_sk@0)]
        │                   CoalescePartitionsExec
        │                     HashJoinExec: mode=CollectLeft, join_type=LeftSemi, on=[(c_customer_sk@0, ss_customer_sk@0)]
        │                       CoalescePartitionsExec
        │                         [Stage 3] => NetworkCoalesceExec: output_partitions=12, input_tasks=4
        │                       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[ss_customer_sk@2]
        │                         CoalescePartitionsExec
        │                           [Stage 4] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=3, input_tasks=4
        │                         DistributedLeafExec:
        │                           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_customer_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
        │                   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ws_sold_date_sk@0)], projection=[ws_bill_customer_sk@2]
        │                     CoalescePartitionsExec
        │                       [Stage 5] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=3, input_tasks=4
        │                     DistributedLeafExec:
        │                       t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_bill_customer_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
        │               HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, cs_sold_date_sk@0)], projection=[cs_ship_customer_sk@2]
        │                 CoalescePartitionsExec
        │                   [Stage 6] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=3, input_tasks=4
        │                 DistributedLeafExec:
        │                   t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_ship_customer_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
        └──────────────────────────────────────────────────
          ┌───── Stage 3 ── Tasks: t0:[p0..p2] t1:[p3..p5] t2:[p6..p8] t3:[p9..p11]
          │ HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(c_current_cdemo_sk@1, cd_demo_sk@0)], projection=[c_customer_sk@0, cd_gender@3, cd_marital_status@4, cd_education_status@5, cd_purchase_estimate@6, cd_credit_rating@7]
          │   CoalescePartitionsExec
          │     [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
          │   DistributedLeafExec:
          │     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_gender, cd_marital_status, cd_education_status, cd_purchase_estimate, cd_credit_rating], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          │     t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-3.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_gender, cd_marital_status, cd_education_status, cd_purchase_estimate, cd_credit_rating], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          │     t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-3.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_gender, cd_marital_status, cd_education_status, cd_purchase_estimate, cd_credit_rating], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          │     t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-3.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_gender, cd_marital_status, cd_education_status, cd_purchase_estimate, cd_credit_rating], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          └──────────────────────────────────────────────────
            ┌───── Stage 2 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(ca_address_sk@0, c_current_addr_sk@2)], projection=[c_customer_sk@1, c_current_cdemo_sk@2]
            │     CoalescePartitionsExec
            │       [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_cdemo_sk, c_current_addr_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
            │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_cdemo_sk, c_current_addr_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
            │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_cdemo_sk, c_current_addr_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
            │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_cdemo_sk, c_current_addr_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 1 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: ca_state@1 = KY OR ca_state@1 = GA OR ca_state@1 = NM, projection=[ca_address_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_state], file_type=parquet, predicate=ca_state@8 = KY OR ca_state@8 = GA OR ca_state@8 = NM, pruning_predicate=ca_state_null_count@2 != row_count@3 AND ca_state_min@0 <= KY AND KY <= ca_state_max@1 OR ca_state_null_count@2 != row_count@3 AND ca_state_min@0 <= GA AND GA <= ca_state_max@1 OR ca_state_null_count@2 != row_count@3 AND ca_state_min@0 <= NM AND NM <= ca_state_max@1, required_guarantees=[ca_state in (GA, KY, NM)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_state], file_type=parquet, predicate=ca_state@8 = KY OR ca_state@8 = GA OR ca_state@8 = NM, pruning_predicate=ca_state_null_count@2 != row_count@3 AND ca_state_min@0 <= KY AND KY <= ca_state_max@1 OR ca_state_null_count@2 != row_count@3 AND ca_state_min@0 <= GA AND GA <= ca_state_max@1 OR ca_state_null_count@2 != row_count@3 AND ca_state_min@0 <= NM AND NM <= ca_state_max@1, required_guarantees=[ca_state in (GA, KY, NM)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_state], file_type=parquet, predicate=ca_state@8 = KY OR ca_state@8 = GA OR ca_state@8 = NM, pruning_predicate=ca_state_null_count@2 != row_count@3 AND ca_state_min@0 <= KY AND KY <= ca_state_max@1 OR ca_state_null_count@2 != row_count@3 AND ca_state_min@0 <= GA AND GA <= ca_state_max@1 OR ca_state_null_count@2 != row_count@3 AND ca_state_min@0 <= NM AND NM <= ca_state_max@1, required_guarantees=[ca_state in (GA, KY, NM)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_state], file_type=parquet, predicate=ca_state@8 = KY OR ca_state@8 = GA OR ca_state@8 = NM, pruning_predicate=ca_state_null_count@2 != row_count@3 AND ca_state_min@0 <= KY AND KY <= ca_state_max@1 OR ca_state_null_count@2 != row_count@3 AND ca_state_min@0 <= GA AND GA <= ca_state_max@1 OR ca_state_null_count@2 != row_count@3 AND ca_state_min@0 <= NM AND NM <= ca_state_max@1, required_guarantees=[ca_state in (GA, KY, NM)]
              └──────────────────────────────────────────────────
          ┌───── Stage 4 ── Tasks: t0:[p0..p2] t1:[p3..p5] t2:[p6..p8] t3:[p9..p11]
          │ BroadcastExec: input_partitions=3, consumer_tasks=1, output_partitions=3
          │   FilterExec: d_year@1 = 2001 AND d_moy@2 >= 4 AND d_moy@2 <= 6, projection=[d_date_sk@0]
          │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
          │       DistributedLeafExec:
          │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001 AND d_moy@8 >= 4 AND d_moy@8 <= 6, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 AND d_moy_null_count@5 != row_count@3 AND d_moy_max@4 >= 4 AND d_moy_null_count@5 != row_count@3 AND d_moy_min@6 <= 6, required_guarantees=[d_year in (2001)]
          │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001 AND d_moy@8 >= 4 AND d_moy@8 <= 6, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 AND d_moy_null_count@5 != row_count@3 AND d_moy_max@4 >= 4 AND d_moy_null_count@5 != row_count@3 AND d_moy_min@6 <= 6, required_guarantees=[d_year in (2001)]
          │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001 AND d_moy@8 >= 4 AND d_moy@8 <= 6, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 AND d_moy_null_count@5 != row_count@3 AND d_moy_max@4 >= 4 AND d_moy_null_count@5 != row_count@3 AND d_moy_min@6 <= 6, required_guarantees=[d_year in (2001)]
          │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001 AND d_moy@8 >= 4 AND d_moy@8 <= 6, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 AND d_moy_null_count@5 != row_count@3 AND d_moy_max@4 >= 4 AND d_moy_null_count@5 != row_count@3 AND d_moy_min@6 <= 6, required_guarantees=[d_year in (2001)]
          └──────────────────────────────────────────────────
          ┌───── Stage 5 ── Tasks: t0:[p0..p2] t1:[p3..p5] t2:[p6..p8] t3:[p9..p11]
          │ BroadcastExec: input_partitions=3, consumer_tasks=1, output_partitions=3
          │   FilterExec: d_year@1 = 2001 AND d_moy@2 >= 4 AND d_moy@2 <= 6, projection=[d_date_sk@0]
          │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
          │       DistributedLeafExec:
          │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001 AND d_moy@8 >= 4 AND d_moy@8 <= 6, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 AND d_moy_null_count@5 != row_count@3 AND d_moy_max@4 >= 4 AND d_moy_null_count@5 != row_count@3 AND d_moy_min@6 <= 6, required_guarantees=[d_year in (2001)]
          │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001 AND d_moy@8 >= 4 AND d_moy@8 <= 6, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 AND d_moy_null_count@5 != row_count@3 AND d_moy_max@4 >= 4 AND d_moy_null_count@5 != row_count@3 AND d_moy_min@6 <= 6, required_guarantees=[d_year in (2001)]
          │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001 AND d_moy@8 >= 4 AND d_moy@8 <= 6, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 AND d_moy_null_count@5 != row_count@3 AND d_moy_max@4 >= 4 AND d_moy_null_count@5 != row_count@3 AND d_moy_min@6 <= 6, required_guarantees=[d_year in (2001)]
          │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001 AND d_moy@8 >= 4 AND d_moy@8 <= 6, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 AND d_moy_null_count@5 != row_count@3 AND d_moy_max@4 >= 4 AND d_moy_null_count@5 != row_count@3 AND d_moy_min@6 <= 6, required_guarantees=[d_year in (2001)]
          └──────────────────────────────────────────────────
          ┌───── Stage 6 ── Tasks: t0:[p0..p2] t1:[p3..p5] t2:[p6..p8] t3:[p9..p11]
          │ BroadcastExec: input_partitions=3, consumer_tasks=1, output_partitions=3
          │   FilterExec: d_year@1 = 2001 AND d_moy@2 >= 4 AND d_moy@2 <= 6, projection=[d_date_sk@0]
          │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
          │       DistributedLeafExec:
          │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001 AND d_moy@8 >= 4 AND d_moy@8 <= 6, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 AND d_moy_null_count@5 != row_count@3 AND d_moy_max@4 >= 4 AND d_moy_null_count@5 != row_count@3 AND d_moy_min@6 <= 6, required_guarantees=[d_year in (2001)]
          │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001 AND d_moy@8 >= 4 AND d_moy@8 <= 6, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 AND d_moy_null_count@5 != row_count@3 AND d_moy_max@4 >= 4 AND d_moy_null_count@5 != row_count@3 AND d_moy_min@6 <= 6, required_guarantees=[d_year in (2001)]
          │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001 AND d_moy@8 >= 4 AND d_moy@8 <= 6, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 AND d_moy_null_count@5 != row_count@3 AND d_moy_max@4 >= 4 AND d_moy_null_count@5 != row_count@3 AND d_moy_min@6 <= 6, required_guarantees=[d_year in (2001)]
          │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 2001 AND d_moy@8 >= 4 AND d_moy@8 <= 6, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 AND d_moy_null_count@5 != row_count@3 AND d_moy_max@4 >= 4 AND d_moy_null_count@5 != row_count@3 AND d_moy_min@6 <= 6, required_guarantees=[d_year in (2001)]
          └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    #[ignore = "Flaky plan: q70's ROLLUP emits two `grouping()` columns in non-deterministic order (HashMap-driven projection layout), so column indices @5/@6 swap run-to-run. Snapshot regen alone won't stabilize it."]
    async fn test_tpcds_70() -> Result<()> {
        let display = test_tpcds_query("q70").await?;
        assert_snapshot!(display, @r#"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ ProjectionExec: expr=[total_sum@0 as total_sum, s_state@1 as s_state, s_county@2 as s_county, lochierarchy@3 as lochierarchy, rank_within_parent@4 as rank_within_parent]
        │   SortPreservingMergeExec: [lochierarchy@3 DESC, CASE WHEN grouping(store.s_state)@6 + grouping(store.s_county)@5 = 0 THEN s_state@1 END ASC NULLS LAST, rank_within_parent@4 ASC NULLS LAST], fetch=100
        │     SortExec: TopK(fetch=100), expr=[lochierarchy@3 DESC, CASE WHEN grouping(store.s_state)@6 + grouping(store.s_county)@5 = 0 THEN s_state@1 END ASC NULLS LAST, rank_within_parent@4 ASC NULLS LAST], preserve_partitioning=[true]
        │       ProjectionExec: expr=[sum(store_sales.ss_net_profit)@2 as total_sum, s_state@0 as s_state, s_county@1 as s_county, grouping(store.s_state)@3 + grouping(store.s_county)@4 as lochierarchy, rank() PARTITION BY [grouping(store.s_state) + grouping(store.s_county), CASE WHEN grouping(store.s_county) = Int64(0) THEN store.s_state END] ORDER BY [sum(store_sales.ss_net_profit) DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@5 as rank_within_parent, grouping(store.s_county)@4 as grouping(store.s_county), grouping(store.s_state)@3 as grouping(store.s_state)]
        │         BoundedWindowAggExec: wdw=[rank() PARTITION BY [grouping(store.s_state) + grouping(store.s_county), CASE WHEN grouping(store.s_county) = Int64(0) THEN store.s_state END] ORDER BY [sum(store_sales.ss_net_profit) DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Field { "rank() PARTITION BY [grouping(store.s_state) + grouping(store.s_county), CASE WHEN grouping(store.s_county) = Int64(0) THEN store.s_state END] ORDER BY [sum(store_sales.ss_net_profit) DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW": UInt64 }, frame: RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW], mode=[Sorted]
        │           SortExec: expr=[grouping(store.s_state)@3 + grouping(store.s_county)@4 ASC NULLS LAST, CASE WHEN grouping(store.s_county)@4 = 0 THEN s_state@0 END ASC NULLS LAST, sum(store_sales.ss_net_profit)@2 DESC], preserve_partitioning=[true]
        │             [Stage 8] => NetworkShuffleExec: output_partitions=3, input_tasks=2
        └──────────────────────────────────────────────────
          ┌───── Stage 8 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ RepartitionExec: partitioning=Hash([grouping(store.s_state)@3 + grouping(store.s_county)@4, CASE WHEN grouping(store.s_county)@4 = 0 THEN s_state@0 END], 3), input_partitions=3
          │   ProjectionExec: expr=[s_state@0 as s_state, s_county@1 as s_county, sum(store_sales.ss_net_profit)@3 as sum(store_sales.ss_net_profit), CAST(__grouping_id@2 & 2 >> 1 AS Int32) as grouping(store.s_state), CAST(__grouping_id@2 & 1 AS Int32) as grouping(store.s_county)]
          │     AggregateExec: mode=FinalPartitioned, gby=[s_state@0 as s_state, s_county@1 as s_county, __grouping_id@2 as __grouping_id], aggr=[sum(store_sales.ss_net_profit)]
          │       [Stage 7] => NetworkShuffleExec: output_partitions=3, input_tasks=3
          └──────────────────────────────────────────────────
            ┌───── Stage 7 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5]
            │ RepartitionExec: partitioning=Hash([s_state@0, s_county@1, __grouping_id@2], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[(NULL as s_state, NULL as s_county), (s_state@2 as s_state, NULL as s_county), (s_state@2 as s_state, s_county@1 as s_county)], aggr=[sum(store_sales.ss_net_profit)]
            │     HashJoinExec: mode=Partitioned, join_type=LeftSemi, on=[(s_state@2, s_state@0)]
            │       [Stage 3] => NetworkShuffleExec: output_partitions=3, input_tasks=3
            │       FilterExec: rank() PARTITION BY [store.s_state] ORDER BY [sum(store_sales.ss_net_profit) DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@1 <= 5, projection=[s_state@0]
            │         ProjectionExec: expr=[s_state@0 as s_state, rank() PARTITION BY [store.s_state] ORDER BY [sum(store_sales.ss_net_profit) DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@2 as rank() PARTITION BY [store.s_state] ORDER BY [sum(store_sales.ss_net_profit) DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW]
            │           BoundedWindowAggExec: wdw=[rank() PARTITION BY [store.s_state] ORDER BY [sum(store_sales.ss_net_profit) DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Field { "rank() PARTITION BY [store.s_state] ORDER BY [sum(store_sales.ss_net_profit) DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW": UInt64 }, frame: RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW], mode=[Sorted]
            │             SortExec: expr=[s_state@0 ASC NULLS LAST, sum(store_sales.ss_net_profit)@1 DESC], preserve_partitioning=[true]
            │               AggregateExec: mode=FinalPartitioned, gby=[s_state@0 as s_state], aggr=[sum(store_sales.ss_net_profit)]
            │                 [Stage 6] => NetworkShuffleExec: output_partitions=3, input_tasks=3
            └──────────────────────────────────────────────────
              ┌───── Stage 3 ── Tasks: t0:[p0..p8] t1:[p0..p8] t2:[p0..p8]
              │ RepartitionExec: partitioning=Hash([s_state@2], 9), input_partitions=2
              │   ProjectionExec: expr=[ss_net_profit@2 as ss_net_profit, s_county@0 as s_county, s_state@1 as s_state]
              │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(s_store_sk@0, ss_store_sk@0)], projection=[s_county@1, s_state@2, ss_net_profit@4]
              │       CoalescePartitionsExec
              │         [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=6, input_tasks=2
              │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[ss_store_sk@2, ss_net_profit@3]
              │         CoalescePartitionsExec
              │           [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=9, input_tasks=2
              │         PartitionIsolatorExec: tasks=3 partitions=6
              │           DataSourceExec: file_groups={6 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], ...]}, projection=[ss_sold_date_sk, ss_store_sk, ss_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
                ┌───── Stage 1 ── Tasks: t0:[p0..p5] t1:[p6..p11]
                │ BroadcastExec: input_partitions=2, consumer_tasks=3, output_partitions=6
                │   PartitionIsolatorExec: tasks=2 partitions=4
                │     DataSourceExec: file_groups={4 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet], [/testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet], [/testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet], [/testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet]]}, projection=[s_store_sk, s_county, s_state], file_type=parquet
                └──────────────────────────────────────────────────
                ┌───── Stage 2 ── Tasks: t0:[p0..p8] t1:[p9..p17]
                │ BroadcastExec: input_partitions=3, consumer_tasks=3, output_partitions=9
                │   FilterExec: d_month_seq@1 >= 1200 AND d_month_seq@1 <= 1211, projection=[d_date_sk@0]
                │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │       PartitionIsolatorExec: tasks=2 partitions=4
                │         DataSourceExec: file_groups={4 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet]]}, projection=[d_date_sk, d_month_seq], file_type=parquet, predicate=d_month_seq@3 >= 1200 AND d_month_seq@3 <= 1211, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1200 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1211, required_guarantees=[]
                └──────────────────────────────────────────────────
              ┌───── Stage 6 ── Tasks: t0:[p0..p8] t1:[p0..p8] t2:[p0..p8]
              │ RepartitionExec: partitioning=Hash([s_state@0], 9), input_partitions=2
              │   AggregateExec: mode=Partial, gby=[s_state@1 as s_state], aggr=[sum(store_sales.ss_net_profit)]
              │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[ss_net_profit@2, s_state@3]
              │       CoalescePartitionsExec
              │         [Stage 4] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=9, input_tasks=2
              │       ProjectionExec: expr=[ss_sold_date_sk@1 as ss_sold_date_sk, ss_net_profit@2 as ss_net_profit, s_state@0 as s_state]
              │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(s_store_sk@0, ss_store_sk@1)], projection=[s_state@1, ss_sold_date_sk@2, ss_net_profit@4]
              │           CoalescePartitionsExec
              │             [Stage 5] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=6, input_tasks=2
              │           PartitionIsolatorExec: tasks=3 partitions=6
              │             DataSourceExec: file_groups={6 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], ...]}, projection=[ss_sold_date_sk, ss_store_sk, ss_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
                ┌───── Stage 4 ── Tasks: t0:[p0..p8] t1:[p9..p17]
                │ BroadcastExec: input_partitions=3, consumer_tasks=3, output_partitions=9
                │   FilterExec: d_month_seq@1 >= 1200 AND d_month_seq@1 <= 1211, projection=[d_date_sk@0]
                │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │       PartitionIsolatorExec: tasks=2 partitions=4
                │         DataSourceExec: file_groups={4 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet]]}, projection=[d_date_sk, d_month_seq], file_type=parquet, predicate=d_month_seq@3 >= 1200 AND d_month_seq@3 <= 1211, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1200 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1211, required_guarantees=[]
                └──────────────────────────────────────────────────
                ┌───── Stage 5 ── Tasks: t0:[p0..p5] t1:[p6..p11]
                │ BroadcastExec: input_partitions=2, consumer_tasks=3, output_partitions=6
                │   PartitionIsolatorExec: tasks=2 partitions=4
                │     DataSourceExec: file_groups={4 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet], [/testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet], [/testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet], [/testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet]]}, projection=[s_store_sk, s_state], file_type=parquet
                └──────────────────────────────────────────────────
        "#);
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_71() -> Result<()> {
        let display = test_tpcds_query("q71").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [ext_price@4 DESC, brand_id@0 ASC, t_hour@2 ASC]
        │   [Stage 7] => NetworkCoalesceExec: output_partitions=6, input_tasks=2
        └──────────────────────────────────────────────────
          ┌───── Stage 7 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ SortExec: expr=[ext_price@4 DESC, brand_id@0 ASC, t_hour@2 ASC], preserve_partitioning=[true]
          │   ProjectionExec: expr=[i_brand_id@1 as brand_id, i_brand@0 as brand, t_hour@2 as t_hour, t_minute@3 as t_minute, sum(tmp.ext_price)@4 as ext_price]
          │     AggregateExec: mode=FinalPartitioned, gby=[i_brand@0 as i_brand, i_brand_id@1 as i_brand_id, t_hour@2 as t_hour, t_minute@3 as t_minute], aggr=[sum(tmp.ext_price)]
          │       [Stage 6] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 6 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([i_brand@0, i_brand_id@1, t_hour@2, t_minute@3], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[i_brand@1 as i_brand, i_brand_id@0 as i_brand_id, t_hour@3 as t_hour, t_minute@4 as t_minute], aggr=[sum(tmp.ext_price)]
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(t_time_sk@0, time_sk@3)], projection=[i_brand_id@3, i_brand@4, ext_price@5, t_hour@1, t_minute@2]
            │       CoalescePartitionsExec
            │         [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, sold_item_sk@1)], projection=[i_brand_id@1, i_brand@2, ext_price@3, time_sk@5]
            │         CoalescePartitionsExec
            │           [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │         DistributedUnionExec: t0:[c0(0/2)] t1:[c0(1/2)] t2:[c1] t3:[c2]
            │           ProjectionExec: expr=[ws_ext_sales_price@0 as ext_price, ws_item_sk@1 as sold_item_sk, ws_sold_time_sk@2 as time_sk]
            │             HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ws_sold_date_sk@0)], projection=[ws_ext_sales_price@4, ws_item_sk@3, ws_sold_time_sk@2]
            │               CoalescePartitionsExec
            │                 [Stage 3] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=6, input_tasks=4
            │               DistributedLeafExec:
            │                 t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_sold_time_sk, ws_item_sk, ws_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │                 t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_sold_time_sk, ws_item_sk, ws_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           ProjectionExec: expr=[cs_ext_sales_price@0 as ext_price, cs_item_sk@1 as sold_item_sk, cs_sold_time_sk@2 as time_sk]
            │             HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, cs_sold_date_sk@0)], projection=[cs_ext_sales_price@4, cs_item_sk@3, cs_sold_time_sk@2]
            │               CoalescePartitionsExec
            │                 [Stage 4] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=3, input_tasks=4
            │               DistributedLeafExec:
            │                 t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_sold_time_sk, cs_item_sk, cs_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           ProjectionExec: expr=[ss_ext_sales_price@0 as ext_price, ss_item_sk@1 as sold_item_sk, ss_sold_time_sk@2 as time_sk]
            │             HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[ss_ext_sales_price@4, ss_item_sk@3, ss_sold_time_sk@2]
            │               CoalescePartitionsExec
            │                 [Stage 5] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=3, input_tasks=4
            │               DistributedLeafExec:
            │                 t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_sold_time_sk, ss_item_sk, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 1 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: t_meal_time@3 = breakfast OR t_meal_time@3 = dinner, projection=[t_time_sk@0, t_hour@1, t_minute@2]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/time_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/time_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/time_dim/part-2.parquet:<int>..<int>]]}, projection=[t_time_sk, t_hour, t_minute, t_meal_time], file_type=parquet, predicate=t_meal_time@9 = breakfast OR t_meal_time@9 = dinner, pruning_predicate=t_meal_time_null_count@2 != row_count@3 AND t_meal_time_min@0 <= breakfast AND breakfast <= t_meal_time_max@1 OR t_meal_time_null_count@2 != row_count@3 AND t_meal_time_min@0 <= dinner AND dinner <= t_meal_time_max@1, required_guarantees=[t_meal_time in (breakfast, dinner)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/time_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/time_dim/part-2.parquet:<int>..<int>]]}, projection=[t_time_sk, t_hour, t_minute, t_meal_time], file_type=parquet, predicate=t_meal_time@9 = breakfast OR t_meal_time@9 = dinner, pruning_predicate=t_meal_time_null_count@2 != row_count@3 AND t_meal_time_min@0 <= breakfast AND breakfast <= t_meal_time_max@1 OR t_meal_time_null_count@2 != row_count@3 AND t_meal_time_min@0 <= dinner AND dinner <= t_meal_time_max@1, required_guarantees=[t_meal_time in (breakfast, dinner)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/time_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/time_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/time_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/time_dim/part-3.parquet:<int>..<int>]]}, projection=[t_time_sk, t_hour, t_minute, t_meal_time], file_type=parquet, predicate=t_meal_time@9 = breakfast OR t_meal_time@9 = dinner, pruning_predicate=t_meal_time_null_count@2 != row_count@3 AND t_meal_time_min@0 <= breakfast AND breakfast <= t_meal_time_max@1 OR t_meal_time_null_count@2 != row_count@3 AND t_meal_time_min@0 <= dinner AND dinner <= t_meal_time_max@1, required_guarantees=[t_meal_time in (breakfast, dinner)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/time_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/time_dim/part-3.parquet:<int>..<int>]]}, projection=[t_time_sk, t_hour, t_minute, t_meal_time], file_type=parquet, predicate=t_meal_time@9 = breakfast OR t_meal_time@9 = dinner, pruning_predicate=t_meal_time_null_count@2 != row_count@3 AND t_meal_time_min@0 <= breakfast AND breakfast <= t_meal_time_max@1 OR t_meal_time_null_count@2 != row_count@3 AND t_meal_time_min@0 <= dinner AND dinner <= t_meal_time_max@1, required_guarantees=[t_meal_time in (breakfast, dinner)]
              └──────────────────────────────────────────────────
              ┌───── Stage 2 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: i_manager_id@3 = 1, projection=[i_item_sk@0, i_brand_id@1, i_brand@2]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_brand, i_manager_id], file_type=parquet, predicate=i_manager_id@20 = 1, pruning_predicate=i_manager_id_null_count@2 != row_count@3 AND i_manager_id_min@0 <= 1 AND 1 <= i_manager_id_max@1, required_guarantees=[i_manager_id in (1)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_brand, i_manager_id], file_type=parquet, predicate=i_manager_id@20 = 1, pruning_predicate=i_manager_id_null_count@2 != row_count@3 AND i_manager_id_min@0 <= 1 AND 1 <= i_manager_id_max@1, required_guarantees=[i_manager_id in (1)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_brand, i_manager_id], file_type=parquet, predicate=i_manager_id@20 = 1, pruning_predicate=i_manager_id_null_count@2 != row_count@3 AND i_manager_id_min@0 <= 1 AND 1 <= i_manager_id_max@1, required_guarantees=[i_manager_id in (1)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_brand, i_manager_id], file_type=parquet, predicate=i_manager_id@20 = 1, pruning_predicate=i_manager_id_null_count@2 != row_count@3 AND i_manager_id_min@0 <= 1 AND 1 <= i_manager_id_max@1, required_guarantees=[i_manager_id in (1)]
              └──────────────────────────────────────────────────
              ┌───── Stage 3 ── Tasks: t0:[p0..p5] t1:[p6..p11] t2:[p12..p17] t3:[p18..p23]
              │ BroadcastExec: input_partitions=3, consumer_tasks=2, output_partitions=6
              │   FilterExec: d_moy@2 = 11 AND d_year@1 = 1999, projection=[d_date_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_moy@8 = 11 AND d_year@6 = 1999, pruning_predicate=d_moy_null_count@2 != row_count@3 AND d_moy_min@0 <= 11 AND 11 <= d_moy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 1999 AND 1999 <= d_year_max@5, required_guarantees=[d_moy in (11), d_year in (1999)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_moy@8 = 11 AND d_year@6 = 1999, pruning_predicate=d_moy_null_count@2 != row_count@3 AND d_moy_min@0 <= 11 AND 11 <= d_moy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 1999 AND 1999 <= d_year_max@5, required_guarantees=[d_moy in (11), d_year in (1999)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_moy@8 = 11 AND d_year@6 = 1999, pruning_predicate=d_moy_null_count@2 != row_count@3 AND d_moy_min@0 <= 11 AND 11 <= d_moy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 1999 AND 1999 <= d_year_max@5, required_guarantees=[d_moy in (11), d_year in (1999)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_moy@8 = 11 AND d_year@6 = 1999, pruning_predicate=d_moy_null_count@2 != row_count@3 AND d_moy_min@0 <= 11 AND 11 <= d_moy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 1999 AND 1999 <= d_year_max@5, required_guarantees=[d_moy in (11), d_year in (1999)]
              └──────────────────────────────────────────────────
              ┌───── Stage 4 ── Tasks: t0:[p0..p2] t1:[p3..p5] t2:[p6..p8] t3:[p9..p11]
              │ BroadcastExec: input_partitions=3, consumer_tasks=1, output_partitions=3
              │   FilterExec: d_moy@2 = 11 AND d_year@1 = 1999, projection=[d_date_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_moy@8 = 11 AND d_year@6 = 1999, pruning_predicate=d_moy_null_count@2 != row_count@3 AND d_moy_min@0 <= 11 AND 11 <= d_moy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 1999 AND 1999 <= d_year_max@5, required_guarantees=[d_moy in (11), d_year in (1999)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_moy@8 = 11 AND d_year@6 = 1999, pruning_predicate=d_moy_null_count@2 != row_count@3 AND d_moy_min@0 <= 11 AND 11 <= d_moy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 1999 AND 1999 <= d_year_max@5, required_guarantees=[d_moy in (11), d_year in (1999)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_moy@8 = 11 AND d_year@6 = 1999, pruning_predicate=d_moy_null_count@2 != row_count@3 AND d_moy_min@0 <= 11 AND 11 <= d_moy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 1999 AND 1999 <= d_year_max@5, required_guarantees=[d_moy in (11), d_year in (1999)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_moy@8 = 11 AND d_year@6 = 1999, pruning_predicate=d_moy_null_count@2 != row_count@3 AND d_moy_min@0 <= 11 AND 11 <= d_moy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 1999 AND 1999 <= d_year_max@5, required_guarantees=[d_moy in (11), d_year in (1999)]
              └──────────────────────────────────────────────────
              ┌───── Stage 5 ── Tasks: t0:[p0..p2] t1:[p3..p5] t2:[p6..p8] t3:[p9..p11]
              │ BroadcastExec: input_partitions=3, consumer_tasks=1, output_partitions=3
              │   FilterExec: d_moy@2 = 11 AND d_year@1 = 1999, projection=[d_date_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_moy@8 = 11 AND d_year@6 = 1999, pruning_predicate=d_moy_null_count@2 != row_count@3 AND d_moy_min@0 <= 11 AND 11 <= d_moy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 1999 AND 1999 <= d_year_max@5, required_guarantees=[d_moy in (11), d_year in (1999)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_moy@8 = 11 AND d_year@6 = 1999, pruning_predicate=d_moy_null_count@2 != row_count@3 AND d_moy_min@0 <= 11 AND 11 <= d_moy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 1999 AND 1999 <= d_year_max@5, required_guarantees=[d_moy in (11), d_year in (1999)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_moy@8 = 11 AND d_year@6 = 1999, pruning_predicate=d_moy_null_count@2 != row_count@3 AND d_moy_min@0 <= 11 AND 11 <= d_moy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 1999 AND 1999 <= d_year_max@5, required_guarantees=[d_moy in (11), d_year in (1999)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_moy@8 = 11 AND d_year@6 = 1999, pruning_predicate=d_moy_null_count@2 != row_count@3 AND d_moy_min@0 <= 11 AND 11 <= d_moy_max@1 AND d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 1999 AND 1999 <= d_year_max@5, required_guarantees=[d_moy in (11), d_year in (1999)]
              └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_72() -> Result<()> {
        let display = test_tpcds_query("q72").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [total_cnt@5 DESC, i_item_desc@0 ASC, w_warehouse_name@1 ASC, d_week_seq@2 ASC], fetch=100
        │   [Stage 15] => NetworkCoalesceExec: output_partitions=6, input_tasks=2
        └──────────────────────────────────────────────────
          ┌───── Stage 15 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ SortExec: TopK(fetch=100), expr=[total_cnt@5 DESC, i_item_desc@0 ASC, w_warehouse_name@1 ASC, d_week_seq@2 ASC], preserve_partitioning=[true]
          │   ProjectionExec: expr=[i_item_desc@0 as i_item_desc, w_warehouse_name@1 as w_warehouse_name, d_week_seq@2 as d_week_seq, sum(CASE WHEN promotion.p_promo_sk IS NULL THEN Int64(1) ELSE Int64(0) END)@3 as no_promo, sum(CASE WHEN promotion.p_promo_sk IS NOT NULL THEN Int64(1) ELSE Int64(0) END)@4 as promo, count(Int64(1))@5 as total_cnt]
          │     AggregateExec: mode=FinalPartitioned, gby=[i_item_desc@0 as i_item_desc, w_warehouse_name@1 as w_warehouse_name, d_week_seq@2 as d_week_seq], aggr=[sum(CASE WHEN promotion.p_promo_sk IS NULL THEN Int64(1) ELSE Int64(0) END), sum(CASE WHEN promotion.p_promo_sk IS NOT NULL THEN Int64(1) ELSE Int64(0) END), count(Int64(1))]
          │       [Stage 14] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 14 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([i_item_desc@0, w_warehouse_name@1, d_week_seq@2], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[i_item_desc@1 as i_item_desc, w_warehouse_name@0 as w_warehouse_name, d_week_seq@2 as d_week_seq], aggr=[sum(CASE WHEN promotion.p_promo_sk IS NULL THEN Int64(1) ELSE Int64(0) END), sum(CASE WHEN promotion.p_promo_sk IS NOT NULL THEN Int64(1) ELSE Int64(0) END), count(Int64(1))]
            │     HashJoinExec: mode=Partitioned, join_type=Right, on=[(cr_item_sk@0, cs_item_sk@0), (cr_order_number@1, cs_order_number@1)], projection=[w_warehouse_name@4, i_item_desc@5, d_week_seq@6, p_promo_sk@7]
            │       [Stage 1] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            │       [Stage 13] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            └──────────────────────────────────────────────────
              ┌───── Stage 1 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
              │ RepartitionExec: partitioning=Hash([cr_item_sk@0, cr_order_number@1], 12), input_partitions=3
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>]]}, projection=[cr_item_sk, cr_order_number], file_type=parquet
              │     t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-3.parquet:<int>..<int>]]}, projection=[cr_item_sk, cr_order_number], file_type=parquet
              │     t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-3.parquet:<int>..<int>]]}, projection=[cr_item_sk, cr_order_number], file_type=parquet
              │     t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-3.parquet:<int>..<int>]]}, projection=[cr_item_sk, cr_order_number], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 13 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
              │ RepartitionExec: partitioning=Hash([cs_item_sk@0, cs_order_number@1], 12), input_partitions=3
              │   HashJoinExec: mode=CollectLeft, join_type=Right, on=[(p_promo_sk@0, cs_promo_sk@1)], projection=[cs_item_sk@1, cs_order_number@3, w_warehouse_name@4, i_item_desc@5, d_week_seq@6, p_promo_sk@0]
              │     CoalescePartitionsExec
              │       [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
              │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, cs_ship_date_sk@0)], filter=d_date@1 > d_date@0 + IntervalMonthDayNano { months: 0, days: 5, nanoseconds: 0 }, projection=[cs_item_sk@3, cs_promo_sk@4, cs_order_number@5, w_warehouse_name@6, i_item_desc@7, d_week_seq@9]
              │       CoalescePartitionsExec
              │         [Stage 3] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
              │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, inv_date_sk@4), (d_week_seq@1, d_week_seq@8)], projection=[cs_ship_date_sk@2, cs_item_sk@3, cs_promo_sk@4, cs_order_number@5, w_warehouse_name@7, i_item_desc@8, d_date@9, d_week_seq@10]
              │         CoalescePartitionsExec
              │           [Stage 4] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
              │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, cs_sold_date_sk@0)], projection=[cs_ship_date_sk@4, cs_item_sk@5, cs_promo_sk@6, cs_order_number@7, inv_date_sk@8, w_warehouse_name@9, i_item_desc@10, d_date@1, d_week_seq@2]
              │           CoalescePartitionsExec
              │             [Stage 5] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
              │           HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(hd_demo_sk@0, cs_bill_hdemo_sk@2)], projection=[cs_sold_date_sk@1, cs_ship_date_sk@2, cs_item_sk@4, cs_promo_sk@5, cs_order_number@6, inv_date_sk@7, w_warehouse_name@8, i_item_desc@9]
              │             CoalescePartitionsExec
              │               [Stage 6] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
              │             HashJoinExec: mode=Partitioned, join_type=Inner, on=[(cd_demo_sk@0, cs_bill_cdemo_sk@2)], projection=[cs_sold_date_sk@1, cs_ship_date_sk@2, cs_bill_hdemo_sk@4, cs_item_sk@5, cs_promo_sk@6, cs_order_number@7, inv_date_sk@8, w_warehouse_name@9, i_item_desc@10]
              │               [Stage 7] => NetworkShuffleExec: output_partitions=3, input_tasks=4
              │               [Stage 12] => NetworkShuffleExec: output_partitions=3, input_tasks=4
              └──────────────────────────────────────────────────
                ┌───── Stage 2 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                │   DistributedLeafExec:
                │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/promotion/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/promotion/part-0.parquet:<int>..<int>]]}, projection=[p_promo_sk], file_type=parquet
                │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/promotion/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/promotion/part-0.parquet:<int>..<int>]]}, projection=[p_promo_sk], file_type=parquet
                │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/promotion/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/promotion/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/promotion/part-1.parquet:<int>..<int>]]}, projection=[p_promo_sk], file_type=parquet
                │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/promotion/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/promotion/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/promotion/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/promotion/part-3.parquet:<int>..<int>]]}, projection=[p_promo_sk], file_type=parquet
                └──────────────────────────────────────────────────
                ┌───── Stage 3 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                │   DistributedLeafExec:
                │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet
                │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet
                │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet
                │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet
                └──────────────────────────────────────────────────
                ┌───── Stage 4 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                │   DistributedLeafExec:
                │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_week_seq], file_type=parquet
                │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_week_seq], file_type=parquet
                │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_week_seq], file_type=parquet
                │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_week_seq], file_type=parquet
                └──────────────────────────────────────────────────
                ┌───── Stage 5 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                │   FilterExec: d_year@3 = 1999, projection=[d_date_sk@0, d_date@1, d_week_seq@2]
                │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date, d_week_seq, d_year], file_type=parquet, predicate=d_year@6 = 1999, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1999 AND 1999 <= d_year_max@1, required_guarantees=[d_year in (1999)]
                │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date, d_week_seq, d_year], file_type=parquet, predicate=d_year@6 = 1999, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1999 AND 1999 <= d_year_max@1, required_guarantees=[d_year in (1999)]
                │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date, d_week_seq, d_year], file_type=parquet, predicate=d_year@6 = 1999, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1999 AND 1999 <= d_year_max@1, required_guarantees=[d_year in (1999)]
                │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date, d_week_seq, d_year], file_type=parquet, predicate=d_year@6 = 1999, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1999 AND 1999 <= d_year_max@1, required_guarantees=[d_year in (1999)]
                └──────────────────────────────────────────────────
                ┌───── Stage 6 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                │   FilterExec: hd_buy_potential@1 = >10000, projection=[hd_demo_sk@0]
                │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_buy_potential], file_type=parquet, predicate=hd_buy_potential@2 = >10000, pruning_predicate=hd_buy_potential_null_count@2 != row_count@3 AND hd_buy_potential_min@0 <= >10000 AND >10000 <= hd_buy_potential_max@1, required_guarantees=[hd_buy_potential in (>10000)]
                │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_buy_potential], file_type=parquet, predicate=hd_buy_potential@2 = >10000, pruning_predicate=hd_buy_potential_null_count@2 != row_count@3 AND hd_buy_potential_min@0 <= >10000 AND >10000 <= hd_buy_potential_max@1, required_guarantees=[hd_buy_potential in (>10000)]
                │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_buy_potential], file_type=parquet, predicate=hd_buy_potential@2 = >10000, pruning_predicate=hd_buy_potential_null_count@2 != row_count@3 AND hd_buy_potential_min@0 <= >10000 AND >10000 <= hd_buy_potential_max@1, required_guarantees=[hd_buy_potential in (>10000)]
                │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-3.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_buy_potential], file_type=parquet, predicate=hd_buy_potential@2 = >10000, pruning_predicate=hd_buy_potential_null_count@2 != row_count@3 AND hd_buy_potential_min@0 <= >10000 AND >10000 <= hd_buy_potential_max@1, required_guarantees=[hd_buy_potential in (>10000)]
                └──────────────────────────────────────────────────
                ┌───── Stage 7 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
                │ RepartitionExec: partitioning=Hash([cd_demo_sk@0], 12), input_partitions=3
                │   FilterExec: cd_marital_status@1 = D, projection=[cd_demo_sk@0]
                │     DistributedLeafExec:
                │       t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_marital_status], file_type=parquet, predicate=cd_marital_status@2 = D, pruning_predicate=cd_marital_status_null_count@2 != row_count@3 AND cd_marital_status_min@0 <= D AND D <= cd_marital_status_max@1, required_guarantees=[cd_marital_status in (D)]
                │       t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-3.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_marital_status], file_type=parquet, predicate=cd_marital_status@2 = D, pruning_predicate=cd_marital_status_null_count@2 != row_count@3 AND cd_marital_status_min@0 <= D AND D <= cd_marital_status_max@1, required_guarantees=[cd_marital_status in (D)]
                │       t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-3.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_marital_status], file_type=parquet, predicate=cd_marital_status@2 = D, pruning_predicate=cd_marital_status_null_count@2 != row_count@3 AND cd_marital_status_min@0 <= D AND D <= cd_marital_status_max@1, required_guarantees=[cd_marital_status in (D)]
                │       t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-3.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_marital_status], file_type=parquet, predicate=cd_marital_status@2 = D, pruning_predicate=cd_marital_status_null_count@2 != row_count@3 AND cd_marital_status_min@0 <= D AND D <= cd_marital_status_max@1, required_guarantees=[cd_marital_status in (D)]
                └──────────────────────────────────────────────────
                ┌───── Stage 12 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
                │ RepartitionExec: partitioning=Hash([cs_bill_cdemo_sk@2], 12), input_partitions=3
                │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, cs_item_sk@4)], projection=[cs_sold_date_sk@2, cs_ship_date_sk@3, cs_bill_cdemo_sk@4, cs_bill_hdemo_sk@5, cs_item_sk@6, cs_promo_sk@7, cs_order_number@8, inv_date_sk@9, w_warehouse_name@10, i_item_desc@1]
                │     CoalescePartitionsExec
                │       [Stage 8] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
                │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(w_warehouse_sk@0, inv_warehouse_sk@8)], projection=[cs_sold_date_sk@2, cs_ship_date_sk@3, cs_bill_cdemo_sk@4, cs_bill_hdemo_sk@5, cs_item_sk@6, cs_promo_sk@7, cs_order_number@8, inv_date_sk@9, w_warehouse_name@1]
                │       CoalescePartitionsExec
                │         [Stage 9] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
                │       HashJoinExec: mode=Partitioned, join_type=Inner, on=[(cs_item_sk@4, inv_item_sk@1)], filter=inv_quantity_on_hand@1 < cs_quantity@0, projection=[cs_sold_date_sk@0, cs_ship_date_sk@1, cs_bill_cdemo_sk@2, cs_bill_hdemo_sk@3, cs_item_sk@4, cs_promo_sk@5, cs_order_number@6, inv_date_sk@8, inv_warehouse_sk@10]
                │         [Stage 10] => NetworkShuffleExec: output_partitions=3, input_tasks=4
                │         [Stage 11] => NetworkShuffleExec: output_partitions=3, input_tasks=4
                └──────────────────────────────────────────────────
                  ┌───── Stage 8 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                  │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                  │   DistributedLeafExec:
                  │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_desc], file_type=parquet
                  │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_desc], file_type=parquet
                  │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_desc], file_type=parquet
                  │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_desc], file_type=parquet
                  └──────────────────────────────────────────────────
                  ┌───── Stage 9 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                  │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                  │   DistributedLeafExec:
                  │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/warehouse/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/warehouse/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/warehouse/part-1.parquet:<int>..<int>]]}, projection=[w_warehouse_sk, w_warehouse_name], file_type=parquet
                  │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/warehouse/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/warehouse/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/warehouse/part-2.parquet:<int>..<int>]]}, projection=[w_warehouse_sk, w_warehouse_name], file_type=parquet
                  │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/warehouse/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/warehouse/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/warehouse/part-3.parquet:<int>..<int>]]}, projection=[w_warehouse_sk, w_warehouse_name], file_type=parquet
                  │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/warehouse/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/warehouse/part-3.parquet:<int>..<int>]]}, projection=[w_warehouse_sk, w_warehouse_name], file_type=parquet
                  └──────────────────────────────────────────────────
                  ┌───── Stage 10 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
                  │ RepartitionExec: partitioning=Hash([cs_item_sk@4], 12), input_partitions=3
                  │   DistributedLeafExec:
                  │     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_ship_date_sk, cs_bill_cdemo_sk, cs_bill_hdemo_sk, cs_item_sk, cs_promo_sk, cs_order_number, cs_quantity], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                  │     t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_ship_date_sk, cs_bill_cdemo_sk, cs_bill_hdemo_sk, cs_item_sk, cs_promo_sk, cs_order_number, cs_quantity], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                  │     t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_ship_date_sk, cs_bill_cdemo_sk, cs_bill_hdemo_sk, cs_item_sk, cs_promo_sk, cs_order_number, cs_quantity], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                  │     t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_ship_date_sk, cs_bill_cdemo_sk, cs_bill_hdemo_sk, cs_item_sk, cs_promo_sk, cs_order_number, cs_quantity], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                  └──────────────────────────────────────────────────
                  ┌───── Stage 11 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
                  │ RepartitionExec: partitioning=Hash([inv_item_sk@1], 12), input_partitions=3
                  │   DistributedLeafExec:
                  │     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/inventory/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/inventory/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/inventory/part-2.parquet:<int>..<int>]]}, projection=[inv_date_sk, inv_item_sk, inv_warehouse_sk, inv_quantity_on_hand], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                  │     t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/inventory/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/inventory/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/inventory/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/inventory/part-3.parquet:<int>..<int>]]}, projection=[inv_date_sk, inv_item_sk, inv_warehouse_sk, inv_quantity_on_hand], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                  │     t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/inventory/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/inventory/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/inventory/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/inventory/part-3.parquet:<int>..<int>]]}, projection=[inv_date_sk, inv_item_sk, inv_warehouse_sk, inv_quantity_on_hand], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                  │     t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/inventory/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/inventory/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/inventory/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/inventory/part-3.parquet:<int>..<int>]]}, projection=[inv_date_sk, inv_item_sk, inv_warehouse_sk, inv_quantity_on_hand], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                  └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_73() -> Result<()> {
        let display = test_tpcds_query("q73").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [cnt@5 DESC, c_last_name@0 ASC NULLS LAST]
        │   [Stage 6] => NetworkCoalesceExec: output_partitions=12, input_tasks=4
        └──────────────────────────────────────────────────
          ┌───── Stage 6 ── Tasks: t0:[p0..p2] t1:[p0..p2] t2:[p0..p2] t3:[p0..p2]
          │ SortExec: expr=[cnt@5 DESC, c_last_name@0 ASC NULLS LAST], preserve_partitioning=[true]
          │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(c_customer_sk@0, ss_customer_sk@1)], projection=[c_last_name@3, c_first_name@2, c_salutation@1, c_preferred_cust_flag@4, ss_ticket_number@5, cnt@7]
          │     CoalescePartitionsExec
          │       [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
          │     ProjectionExec: expr=[ss_ticket_number@0 as ss_ticket_number, ss_customer_sk@1 as ss_customer_sk, count(Int64(1))@2 as cnt]
          │       FilterExec: count(Int64(1))@2 >= 1 AND count(Int64(1))@2 <= 5
          │         AggregateExec: mode=FinalPartitioned, gby=[ss_ticket_number@0 as ss_ticket_number, ss_customer_sk@1 as ss_customer_sk], aggr=[count(Int64(1))]
          │           [Stage 5] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 1 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
            │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
            │   DistributedLeafExec:
            │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_salutation, c_first_name, c_last_name, c_preferred_cust_flag], file_type=parquet
            │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_salutation, c_first_name, c_last_name, c_preferred_cust_flag], file_type=parquet
            │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_salutation, c_first_name, c_last_name, c_preferred_cust_flag], file_type=parquet
            │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_salutation, c_first_name, c_last_name, c_preferred_cust_flag], file_type=parquet
            └──────────────────────────────────────────────────
            ┌───── Stage 5 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
            │ RepartitionExec: partitioning=Hash([ss_ticket_number@0, ss_customer_sk@1], 12), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[ss_ticket_number@1 as ss_ticket_number, ss_customer_sk@0 as ss_customer_sk], aggr=[count(Int64(1))]
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(hd_demo_sk@0, ss_hdemo_sk@1)], projection=[ss_customer_sk@1, ss_ticket_number@3]
            │       CoalescePartitionsExec
            │         [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(s_store_sk@0, ss_store_sk@2)], projection=[ss_customer_sk@1, ss_hdemo_sk@2, ss_ticket_number@4]
            │         CoalescePartitionsExec
            │           [Stage 3] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[ss_customer_sk@2, ss_hdemo_sk@3, ss_store_sk@4, ss_ticket_number@5]
            │           CoalescePartitionsExec
            │             [Stage 4] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │           DistributedLeafExec:
            │             t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_customer_sk, ss_hdemo_sk, ss_store_sk, ss_ticket_number], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_customer_sk, ss_hdemo_sk, ss_store_sk, ss_ticket_number], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_customer_sk, ss_hdemo_sk, ss_store_sk, ss_ticket_number], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_customer_sk, ss_hdemo_sk, ss_store_sk, ss_ticket_number], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 2 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: (hd_buy_potential@1 = Unknown OR hd_buy_potential@1 = >10000) AND hd_vehicle_count@3 > 0 AND CASE WHEN hd_vehicle_count@3 > 0 THEN CAST(hd_dep_count@2 AS Float64) / CAST(hd_vehicle_count@3 AS Float64) END > 1, projection=[hd_demo_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_buy_potential, hd_dep_count, hd_vehicle_count], file_type=parquet, predicate=(hd_buy_potential@2 = Unknown OR hd_buy_potential@2 = >10000) AND hd_vehicle_count@4 > 0 AND CASE WHEN hd_vehicle_count@4 > 0 THEN CAST(hd_dep_count@3 AS Float64) / CAST(hd_vehicle_count@4 AS Float64) END > 1, pruning_predicate=(hd_buy_potential_null_count@2 != row_count@3 AND hd_buy_potential_min@0 <= Unknown AND Unknown <= hd_buy_potential_max@1 OR hd_buy_potential_null_count@2 != row_count@3 AND hd_buy_potential_min@0 <= >10000 AND >10000 <= hd_buy_potential_max@1) AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_max@4 > 0, required_guarantees=[hd_buy_potential in (>10000, Unknown)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_buy_potential, hd_dep_count, hd_vehicle_count], file_type=parquet, predicate=(hd_buy_potential@2 = Unknown OR hd_buy_potential@2 = >10000) AND hd_vehicle_count@4 > 0 AND CASE WHEN hd_vehicle_count@4 > 0 THEN CAST(hd_dep_count@3 AS Float64) / CAST(hd_vehicle_count@4 AS Float64) END > 1, pruning_predicate=(hd_buy_potential_null_count@2 != row_count@3 AND hd_buy_potential_min@0 <= Unknown AND Unknown <= hd_buy_potential_max@1 OR hd_buy_potential_null_count@2 != row_count@3 AND hd_buy_potential_min@0 <= >10000 AND >10000 <= hd_buy_potential_max@1) AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_max@4 > 0, required_guarantees=[hd_buy_potential in (>10000, Unknown)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_buy_potential, hd_dep_count, hd_vehicle_count], file_type=parquet, predicate=(hd_buy_potential@2 = Unknown OR hd_buy_potential@2 = >10000) AND hd_vehicle_count@4 > 0 AND CASE WHEN hd_vehicle_count@4 > 0 THEN CAST(hd_dep_count@3 AS Float64) / CAST(hd_vehicle_count@4 AS Float64) END > 1, pruning_predicate=(hd_buy_potential_null_count@2 != row_count@3 AND hd_buy_potential_min@0 <= Unknown AND Unknown <= hd_buy_potential_max@1 OR hd_buy_potential_null_count@2 != row_count@3 AND hd_buy_potential_min@0 <= >10000 AND >10000 <= hd_buy_potential_max@1) AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_max@4 > 0, required_guarantees=[hd_buy_potential in (>10000, Unknown)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-3.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_buy_potential, hd_dep_count, hd_vehicle_count], file_type=parquet, predicate=(hd_buy_potential@2 = Unknown OR hd_buy_potential@2 = >10000) AND hd_vehicle_count@4 > 0 AND CASE WHEN hd_vehicle_count@4 > 0 THEN CAST(hd_dep_count@3 AS Float64) / CAST(hd_vehicle_count@4 AS Float64) END > 1, pruning_predicate=(hd_buy_potential_null_count@2 != row_count@3 AND hd_buy_potential_min@0 <= Unknown AND Unknown <= hd_buy_potential_max@1 OR hd_buy_potential_null_count@2 != row_count@3 AND hd_buy_potential_min@0 <= >10000 AND >10000 <= hd_buy_potential_max@1) AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_max@4 > 0, required_guarantees=[hd_buy_potential in (>10000, Unknown)]
              └──────────────────────────────────────────────────
              ┌───── Stage 3 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: s_county@1 IN (SET) ([Orange County, Bronx County, Franklin Parish, Williamson County]), projection=[s_store_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>]]}, projection=[s_store_sk, s_county], file_type=parquet, predicate=s_county@23 IN (SET) ([Orange County, Bronx County, Franklin Parish, Williamson County]), pruning_predicate=s_county_null_count@2 != row_count@3 AND s_county_min@0 <= Orange County AND Orange County <= s_county_max@1 OR s_county_null_count@2 != row_count@3 AND s_county_min@0 <= Bronx County AND Bronx County <= s_county_max@1 OR s_county_null_count@2 != row_count@3 AND s_county_min@0 <= Franklin Parish AND Franklin Parish <= s_county_max@1 OR s_county_null_count@2 != row_count@3 AND s_county_min@0 <= Williamson County AND Williamson County <= s_county_max@1, required_guarantees=[s_county in (Bronx County, Franklin Parish, Orange County, Williamson County)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>]]}, projection=[s_store_sk, s_county], file_type=parquet, predicate=s_county@23 IN (SET) ([Orange County, Bronx County, Franklin Parish, Williamson County]), pruning_predicate=s_county_null_count@2 != row_count@3 AND s_county_min@0 <= Orange County AND Orange County <= s_county_max@1 OR s_county_null_count@2 != row_count@3 AND s_county_min@0 <= Bronx County AND Bronx County <= s_county_max@1 OR s_county_null_count@2 != row_count@3 AND s_county_min@0 <= Franklin Parish AND Franklin Parish <= s_county_max@1 OR s_county_null_count@2 != row_count@3 AND s_county_min@0 <= Williamson County AND Williamson County <= s_county_max@1, required_guarantees=[s_county in (Bronx County, Franklin Parish, Orange County, Williamson County)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_county], file_type=parquet, predicate=s_county@23 IN (SET) ([Orange County, Bronx County, Franklin Parish, Williamson County]), pruning_predicate=s_county_null_count@2 != row_count@3 AND s_county_min@0 <= Orange County AND Orange County <= s_county_max@1 OR s_county_null_count@2 != row_count@3 AND s_county_min@0 <= Bronx County AND Bronx County <= s_county_max@1 OR s_county_null_count@2 != row_count@3 AND s_county_min@0 <= Franklin Parish AND Franklin Parish <= s_county_max@1 OR s_county_null_count@2 != row_count@3 AND s_county_min@0 <= Williamson County AND Williamson County <= s_county_max@1, required_guarantees=[s_county in (Bronx County, Franklin Parish, Orange County, Williamson County)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_county], file_type=parquet, predicate=s_county@23 IN (SET) ([Orange County, Bronx County, Franklin Parish, Williamson County]), pruning_predicate=s_county_null_count@2 != row_count@3 AND s_county_min@0 <= Orange County AND Orange County <= s_county_max@1 OR s_county_null_count@2 != row_count@3 AND s_county_min@0 <= Bronx County AND Bronx County <= s_county_max@1 OR s_county_null_count@2 != row_count@3 AND s_county_min@0 <= Franklin Parish AND Franklin Parish <= s_county_max@1 OR s_county_null_count@2 != row_count@3 AND s_county_min@0 <= Williamson County AND Williamson County <= s_county_max@1, required_guarantees=[s_county in (Bronx County, Franklin Parish, Orange County, Williamson County)]
              └──────────────────────────────────────────────────
              ┌───── Stage 4 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_dom@2 >= 1 AND d_dom@2 <= 2 AND (d_year@1 = 1999 OR d_year@1 = 2000 OR d_year@1 = 2001), projection=[d_date_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_dom], file_type=parquet, predicate=d_dom@9 >= 1 AND d_dom@9 <= 2 AND (d_year@6 = 1999 OR d_year@6 = 2000 OR d_year@6 = 2001), pruning_predicate=d_dom_null_count@1 != row_count@2 AND d_dom_max@0 >= 1 AND d_dom_null_count@1 != row_count@2 AND d_dom_min@3 <= 2 AND (d_year_null_count@6 != row_count@2 AND d_year_min@4 <= 1999 AND 1999 <= d_year_max@5 OR d_year_null_count@6 != row_count@2 AND d_year_min@4 <= 2000 AND 2000 <= d_year_max@5 OR d_year_null_count@6 != row_count@2 AND d_year_min@4 <= 2001 AND 2001 <= d_year_max@5), required_guarantees=[d_year in (1999, 2000, 2001)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_dom], file_type=parquet, predicate=d_dom@9 >= 1 AND d_dom@9 <= 2 AND (d_year@6 = 1999 OR d_year@6 = 2000 OR d_year@6 = 2001), pruning_predicate=d_dom_null_count@1 != row_count@2 AND d_dom_max@0 >= 1 AND d_dom_null_count@1 != row_count@2 AND d_dom_min@3 <= 2 AND (d_year_null_count@6 != row_count@2 AND d_year_min@4 <= 1999 AND 1999 <= d_year_max@5 OR d_year_null_count@6 != row_count@2 AND d_year_min@4 <= 2000 AND 2000 <= d_year_max@5 OR d_year_null_count@6 != row_count@2 AND d_year_min@4 <= 2001 AND 2001 <= d_year_max@5), required_guarantees=[d_year in (1999, 2000, 2001)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_dom], file_type=parquet, predicate=d_dom@9 >= 1 AND d_dom@9 <= 2 AND (d_year@6 = 1999 OR d_year@6 = 2000 OR d_year@6 = 2001), pruning_predicate=d_dom_null_count@1 != row_count@2 AND d_dom_max@0 >= 1 AND d_dom_null_count@1 != row_count@2 AND d_dom_min@3 <= 2 AND (d_year_null_count@6 != row_count@2 AND d_year_min@4 <= 1999 AND 1999 <= d_year_max@5 OR d_year_null_count@6 != row_count@2 AND d_year_min@4 <= 2000 AND 2000 <= d_year_max@5 OR d_year_null_count@6 != row_count@2 AND d_year_min@4 <= 2001 AND 2001 <= d_year_max@5), required_guarantees=[d_year in (1999, 2000, 2001)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_dom], file_type=parquet, predicate=d_dom@9 >= 1 AND d_dom@9 <= 2 AND (d_year@6 = 1999 OR d_year@6 = 2000 OR d_year@6 = 2001), pruning_predicate=d_dom_null_count@1 != row_count@2 AND d_dom_max@0 >= 1 AND d_dom_null_count@1 != row_count@2 AND d_dom_min@3 <= 2 AND (d_year_null_count@6 != row_count@2 AND d_year_min@4 <= 1999 AND 1999 <= d_year_max@5 OR d_year_null_count@6 != row_count@2 AND d_year_min@4 <= 2000 AND 2000 <= d_year_max@5 OR d_year_null_count@6 != row_count@2 AND d_year_min@4 <= 2001 AND 2001 <= d_year_max@5), required_guarantees=[d_year in (1999, 2000, 2001)]
              └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_74() -> Result<()> {
        let display = test_tpcds_query("q74").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [customer_id@0 ASC], fetch=100
        │   [Stage 16] => NetworkCoalesceExec: output_partitions=6, input_tasks=2
        └──────────────────────────────────────────────────
          ┌───── Stage 16 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ SortExec: TopK(fetch=100), expr=[customer_id@0 ASC], preserve_partitioning=[true]
          │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(customer_id@0, customer_id@0)], filter=CASE WHEN year_total@2 > Some(0),17,2 THEN year_total@3 / year_total@2 END > CASE WHEN year_total@0 > Some(0),17,2 THEN year_total@1 / year_total@0 END, projection=[customer_id@2, customer_first_name@3, customer_last_name@4]
          │     CoalescePartitionsExec
          │       [Stage 12] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=6, input_tasks=2
          │     ProjectionExec: expr=[c_customer_id@0 as customer_id, sum(web_sales.ws_net_paid)@4 as year_total]
          │       AggregateExec: mode=FinalPartitioned, gby=[c_customer_id@0 as c_customer_id, c_first_name@1 as c_first_name, c_last_name@2 as c_last_name, d_year@3 as d_year], aggr=[sum(web_sales.ws_net_paid)], ordering_mode=PartiallySorted([3])
          │         [Stage 15] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 12 ── Tasks: t0:[p0..p5] t1:[p6..p11]
            │ BroadcastExec: input_partitions=3, consumer_tasks=2, output_partitions=6
            │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(customer_id@0, customer_id@0)], projection=[customer_id@2, year_total@3, customer_id@4, customer_first_name@5, customer_last_name@6, year_total@7, year_total@1]
            │     CoalescePartitionsExec
            │       [Stage 4] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=6, input_tasks=2
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(customer_id@0, customer_id@0)]
            │       CoalescePartitionsExec
            │         [Stage 8] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=6, input_tasks=2
            │       ProjectionExec: expr=[c_customer_id@0 as customer_id, c_first_name@1 as customer_first_name, c_last_name@2 as customer_last_name, sum(store_sales.ss_net_paid)@4 as year_total]
            │         AggregateExec: mode=FinalPartitioned, gby=[c_customer_id@0 as c_customer_id, c_first_name@1 as c_first_name, c_last_name@2 as c_last_name, d_year@3 as d_year], aggr=[sum(store_sales.ss_net_paid)], ordering_mode=PartiallySorted([3])
            │           [Stage 11] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            └──────────────────────────────────────────────────
              ┌───── Stage 4 ── Tasks: t0:[p0..p5] t1:[p6..p11]
              │ BroadcastExec: input_partitions=3, consumer_tasks=2, output_partitions=6
              │   ProjectionExec: expr=[c_customer_id@0 as customer_id, sum(web_sales.ws_net_paid)@1 as year_total]
              │     FilterExec: sum(web_sales.ws_net_paid)@1 > Some(0),17,2
              │       ProjectionExec: expr=[c_customer_id@0 as c_customer_id, sum(web_sales.ws_net_paid)@4 as sum(web_sales.ws_net_paid)]
              │         AggregateExec: mode=FinalPartitioned, gby=[c_customer_id@0 as c_customer_id, c_first_name@1 as c_first_name, c_last_name@2 as c_last_name, d_year@3 as d_year], aggr=[sum(web_sales.ws_net_paid)], ordering_mode=PartiallySorted([3])
              │           [Stage 3] => NetworkShuffleExec: output_partitions=3, input_tasks=4
              └──────────────────────────────────────────────────
                ┌───── Stage 3 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
                │ RepartitionExec: partitioning=Hash([c_customer_id@0, c_first_name@1, c_last_name@2, d_year@3], 6), input_partitions=3
                │   AggregateExec: mode=Partial, gby=[c_customer_id@0 as c_customer_id, c_first_name@1 as c_first_name, c_last_name@2 as c_last_name, d_year@4 as d_year], aggr=[sum(web_sales.ws_net_paid)], ordering_mode=PartiallySorted([3])
                │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ws_sold_date_sk@3)], projection=[c_customer_id@2, c_first_name@3, c_last_name@4, ws_net_paid@6, d_year@1]
                │       CoalescePartitionsExec
                │         [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
                │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(c_customer_sk@0, ws_bill_customer_sk@1)], projection=[c_customer_id@1, c_first_name@2, c_last_name@3, ws_sold_date_sk@4, ws_net_paid@6]
                │         CoalescePartitionsExec
                │           [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
                │         DistributedLeafExec:
                │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_bill_customer_sk, ws_net_paid], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │           t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_bill_customer_sk, ws_net_paid], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │           t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_bill_customer_sk, ws_net_paid], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │           t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_bill_customer_sk, ws_net_paid], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                └──────────────────────────────────────────────────
                  ┌───── Stage 1 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                  │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                  │   FilterExec: d_year@1 = 2001
                  │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                  │       DistributedLeafExec:
                  │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
                  │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
                  │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
                  │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
                  └──────────────────────────────────────────────────
                  ┌───── Stage 2 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                  │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                  │   DistributedLeafExec:
                  │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_customer_id, c_first_name, c_last_name], file_type=parquet
                  │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_customer_id, c_first_name, c_last_name], file_type=parquet
                  │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_customer_id, c_first_name, c_last_name], file_type=parquet
                  │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_customer_id, c_first_name, c_last_name], file_type=parquet
                  └──────────────────────────────────────────────────
              ┌───── Stage 8 ── Tasks: t0:[p0..p5] t1:[p6..p11]
              │ BroadcastExec: input_partitions=3, consumer_tasks=2, output_partitions=6
              │   ProjectionExec: expr=[c_customer_id@0 as customer_id, sum(store_sales.ss_net_paid)@1 as year_total]
              │     FilterExec: sum(store_sales.ss_net_paid)@1 > Some(0),17,2
              │       ProjectionExec: expr=[c_customer_id@0 as c_customer_id, sum(store_sales.ss_net_paid)@4 as sum(store_sales.ss_net_paid)]
              │         AggregateExec: mode=FinalPartitioned, gby=[c_customer_id@0 as c_customer_id, c_first_name@1 as c_first_name, c_last_name@2 as c_last_name, d_year@3 as d_year], aggr=[sum(store_sales.ss_net_paid)], ordering_mode=PartiallySorted([3])
              │           [Stage 7] => NetworkShuffleExec: output_partitions=3, input_tasks=4
              └──────────────────────────────────────────────────
                ┌───── Stage 7 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
                │ RepartitionExec: partitioning=Hash([c_customer_id@0, c_first_name@1, c_last_name@2, d_year@3], 6), input_partitions=3
                │   AggregateExec: mode=Partial, gby=[c_customer_id@0 as c_customer_id, c_first_name@1 as c_first_name, c_last_name@2 as c_last_name, d_year@4 as d_year], aggr=[sum(store_sales.ss_net_paid)], ordering_mode=PartiallySorted([3])
                │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@3)], projection=[c_customer_id@2, c_first_name@3, c_last_name@4, ss_net_paid@6, d_year@1]
                │       CoalescePartitionsExec
                │         [Stage 5] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
                │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(c_customer_sk@0, ss_customer_sk@1)], projection=[c_customer_id@1, c_first_name@2, c_last_name@3, ss_sold_date_sk@4, ss_net_paid@6]
                │         CoalescePartitionsExec
                │           [Stage 6] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
                │         DistributedLeafExec:
                │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_customer_sk, ss_net_paid], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │           t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_customer_sk, ss_net_paid], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │           t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_customer_sk, ss_net_paid], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │           t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_customer_sk, ss_net_paid], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                └──────────────────────────────────────────────────
                  ┌───── Stage 5 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                  │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                  │   FilterExec: d_year@1 = 2001
                  │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                  │       DistributedLeafExec:
                  │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
                  │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
                  │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
                  │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
                  └──────────────────────────────────────────────────
                  ┌───── Stage 6 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                  │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                  │   DistributedLeafExec:
                  │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_customer_id, c_first_name, c_last_name], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                  │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_customer_id, c_first_name, c_last_name], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                  │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_customer_id, c_first_name, c_last_name], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                  │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_customer_id, c_first_name, c_last_name], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                  └──────────────────────────────────────────────────
              ┌───── Stage 11 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
              │ RepartitionExec: partitioning=Hash([c_customer_id@0, c_first_name@1, c_last_name@2, d_year@3], 6), input_partitions=3
              │   AggregateExec: mode=Partial, gby=[c_customer_id@0 as c_customer_id, c_first_name@1 as c_first_name, c_last_name@2 as c_last_name, d_year@4 as d_year], aggr=[sum(store_sales.ss_net_paid)], ordering_mode=PartiallySorted([3])
              │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@3)], projection=[c_customer_id@2, c_first_name@3, c_last_name@4, ss_net_paid@6, d_year@1]
              │       CoalescePartitionsExec
              │         [Stage 9] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
              │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(c_customer_sk@0, ss_customer_sk@1)], projection=[c_customer_id@1, c_first_name@2, c_last_name@3, ss_sold_date_sk@4, ss_net_paid@6]
              │         CoalescePartitionsExec
              │           [Stage 10] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
              │         DistributedLeafExec:
              │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_customer_sk, ss_net_paid], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │           t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_customer_sk, ss_net_paid], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │           t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_customer_sk, ss_net_paid], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │           t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_customer_sk, ss_net_paid], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
                ┌───── Stage 9 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                │   FilterExec: (d_year@1 = 2001 OR d_year@1 = 2002) AND d_year@1 = 2002
                │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=(d_year@6 = 2001 OR d_year@6 = 2002) AND d_year@6 = 2002, pruning_predicate=(d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1) AND d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1, required_guarantees=[d_year in (2002)]
                │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=(d_year@6 = 2001 OR d_year@6 = 2002) AND d_year@6 = 2002, pruning_predicate=(d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1) AND d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1, required_guarantees=[d_year in (2002)]
                │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=(d_year@6 = 2001 OR d_year@6 = 2002) AND d_year@6 = 2002, pruning_predicate=(d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1) AND d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1, required_guarantees=[d_year in (2002)]
                │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=(d_year@6 = 2001 OR d_year@6 = 2002) AND d_year@6 = 2002, pruning_predicate=(d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1) AND d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1, required_guarantees=[d_year in (2002)]
                └──────────────────────────────────────────────────
                ┌───── Stage 10 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                │   DistributedLeafExec:
                │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_customer_id, c_first_name, c_last_name], file_type=parquet, predicate=DynamicFilter [ empty ]
                │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_customer_id, c_first_name, c_last_name], file_type=parquet, predicate=DynamicFilter [ empty ]
                │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_customer_id, c_first_name, c_last_name], file_type=parquet, predicate=DynamicFilter [ empty ]
                │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_customer_id, c_first_name, c_last_name], file_type=parquet, predicate=DynamicFilter [ empty ]
                └──────────────────────────────────────────────────
            ┌───── Stage 15 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([c_customer_id@0, c_first_name@1, c_last_name@2, d_year@3], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[c_customer_id@0 as c_customer_id, c_first_name@1 as c_first_name, c_last_name@2 as c_last_name, d_year@4 as d_year], aggr=[sum(web_sales.ws_net_paid)], ordering_mode=PartiallySorted([3])
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ws_sold_date_sk@3)], projection=[c_customer_id@2, c_first_name@3, c_last_name@4, ws_net_paid@6, d_year@1]
            │       CoalescePartitionsExec
            │         [Stage 13] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(c_customer_sk@0, ws_bill_customer_sk@1)], projection=[c_customer_id@1, c_first_name@2, c_last_name@3, ws_sold_date_sk@4, ws_net_paid@6]
            │         CoalescePartitionsExec
            │           [Stage 14] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │         DistributedLeafExec:
            │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_bill_customer_sk, ws_net_paid], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_bill_customer_sk, ws_net_paid], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_bill_customer_sk, ws_net_paid], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_bill_customer_sk, ws_net_paid], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 13 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: (d_year@1 = 2001 OR d_year@1 = 2002) AND d_year@1 = 2002
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=(d_year@6 = 2001 OR d_year@6 = 2002) AND d_year@6 = 2002, pruning_predicate=(d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1) AND d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1, required_guarantees=[d_year in (2002)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=(d_year@6 = 2001 OR d_year@6 = 2002) AND d_year@6 = 2002, pruning_predicate=(d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1) AND d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1, required_guarantees=[d_year in (2002)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=(d_year@6 = 2001 OR d_year@6 = 2002) AND d_year@6 = 2002, pruning_predicate=(d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1) AND d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1, required_guarantees=[d_year in (2002)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=(d_year@6 = 2001 OR d_year@6 = 2002) AND d_year@6 = 2002, pruning_predicate=(d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1 OR d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1) AND d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1, required_guarantees=[d_year in (2002)]
              └──────────────────────────────────────────────────
              ┌───── Stage 14 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_customer_id, c_first_name, c_last_name], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_customer_id, c_first_name, c_last_name], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_customer_id, c_first_name, c_last_name], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_customer_id, c_first_name, c_last_name], file_type=parquet, predicate=DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_75() -> Result<()> {
        let display = test_tpcds_query("q75").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [sales_cnt_diff@8 ASC NULLS LAST, sales_amt_diff@9 ASC NULLS LAST], fetch=100
        │   SortExec: TopK(fetch=100), expr=[sales_cnt_diff@8 ASC NULLS LAST, sales_amt_diff@9 ASC NULLS LAST], preserve_partitioning=[true]
        │     ProjectionExec: expr=[d_year@0 as prev_year, d_year@1 as year_, i_brand_id@2 as i_brand_id, i_class_id@3 as i_class_id, i_category_id@4 as i_category_id, i_manufact_id@5 as i_manufact_id, sales_cnt@6 as prev_yr_cnt, sales_cnt@7 as curr_yr_cnt, sales_cnt@7 - sales_cnt@6 as sales_cnt_diff, sales_amt@8 - sales_amt@9 as sales_amt_diff]
        │       HashJoinExec: mode=Partitioned, join_type=Inner, on=[(i_brand_id@1, i_brand_id@1), (i_class_id@2, i_class_id@2), (i_category_id@3, i_category_id@3), (i_manufact_id@4, i_manufact_id@4)], filter=CAST(sales_cnt@0 AS Decimal128(17, 2)) / CAST(sales_cnt@1 AS Decimal128(17, 2)) < Some(900000),23,6, projection=[d_year@7, d_year@0, i_brand_id@1, i_class_id@2, i_category_id@3, i_manufact_id@4, sales_cnt@12, sales_cnt@5, sales_amt@6, sales_amt@13]
        │         RepartitionExec: partitioning=Hash([i_brand_id@1, i_class_id@2, i_category_id@3, i_manufact_id@4], 3), input_partitions=3
        │           ProjectionExec: expr=[d_year@0 as d_year, i_brand_id@1 as i_brand_id, i_class_id@2 as i_class_id, i_category_id@3 as i_category_id, i_manufact_id@4 as i_manufact_id, sum(sales_detail.sales_cnt)@5 as sales_cnt, sum(sales_detail.sales_amt)@6 as sales_amt]
        │             AggregateExec: mode=FinalPartitioned, gby=[d_year@0 as d_year, i_brand_id@1 as i_brand_id, i_class_id@2 as i_class_id, i_category_id@3 as i_category_id, i_manufact_id@4 as i_manufact_id], aggr=[sum(sales_detail.sales_cnt), sum(sales_detail.sales_amt)], ordering_mode=PartiallySorted([0])
        │               [Stage 14] => NetworkShuffleExec: output_partitions=3, input_tasks=2
        │         RepartitionExec: partitioning=Hash([i_brand_id@1, i_class_id@2, i_category_id@3, i_manufact_id@4], 3), input_partitions=3
        │           ProjectionExec: expr=[d_year@0 as d_year, i_brand_id@1 as i_brand_id, i_class_id@2 as i_class_id, i_category_id@3 as i_category_id, i_manufact_id@4 as i_manufact_id, sum(sales_detail.sales_cnt)@5 as sales_cnt, sum(sales_detail.sales_amt)@6 as sales_amt]
        │             AggregateExec: mode=FinalPartitioned, gby=[d_year@0 as d_year, i_brand_id@1 as i_brand_id, i_class_id@2 as i_class_id, i_category_id@3 as i_category_id, i_manufact_id@4 as i_manufact_id], aggr=[sum(sales_detail.sales_cnt), sum(sales_detail.sales_amt)], ordering_mode=PartiallySorted([0])
        │               [Stage 28] => NetworkShuffleExec: output_partitions=3, input_tasks=2
        └──────────────────────────────────────────────────
          ┌───── Stage 14 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ RepartitionExec: partitioning=Hash([d_year@0, i_brand_id@1, i_class_id@2, i_category_id@3, i_manufact_id@4], 3), input_partitions=3
          │   AggregateExec: mode=Partial, gby=[d_year@0 as d_year, i_brand_id@1 as i_brand_id, i_class_id@2 as i_class_id, i_category_id@3 as i_category_id, i_manufact_id@4 as i_manufact_id], aggr=[sum(sales_detail.sales_cnt), sum(sales_detail.sales_amt)], ordering_mode=PartiallySorted([0])
          │     AggregateExec: mode=FinalPartitioned, gby=[d_year@0 as d_year, i_brand_id@1 as i_brand_id, i_class_id@2 as i_class_id, i_category_id@3 as i_category_id, i_manufact_id@4 as i_manufact_id, sales_cnt@5 as sales_cnt, sales_amt@6 as sales_amt], aggr=[], ordering_mode=PartiallySorted([0])
          │       [Stage 13] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 13 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([d_year@0, i_brand_id@1, i_class_id@2, i_category_id@3, i_manufact_id@4, sales_cnt@5, sales_amt@6], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[d_year@0 as d_year, i_brand_id@1 as i_brand_id, i_class_id@2 as i_class_id, i_category_id@3 as i_category_id, i_manufact_id@4 as i_manufact_id, sales_cnt@5 as sales_cnt, sales_amt@6 as sales_amt], aggr=[], ordering_mode=PartiallySorted([0])
            │     DistributedUnionExec: t0:[c0(0/2)] t1:[c0(1/2)] t2:[c1] t3:[c2]
            │       ProjectionExec: expr=[d_year@8 as d_year, i_brand_id@4 as i_brand_id, i_class_id@5 as i_class_id, i_category_id@6 as i_category_id, i_manufact_id@7 as i_manufact_id, CAST(cs_quantity@2 AS Int64) - CASE WHEN __common_expr_1@0 IS NOT NULL THEN __common_expr_1@0 ELSE 0 END as sales_cnt, cs_ext_sales_price@3 - CASE WHEN __common_expr_2@1 IS NOT NULL THEN __common_expr_2@1 ELSE Some(0),30,15 END as sales_amt]
            │         ProjectionExec: expr=[CAST(cr_return_quantity@0 AS Int64) as __common_expr_1, CAST(cr_return_amount@1 AS Decimal128(30, 15)) as __common_expr_2, cs_quantity@2 as cs_quantity, cs_ext_sales_price@3 as cs_ext_sales_price, i_brand_id@4 as i_brand_id, i_class_id@5 as i_class_id, i_category_id@6 as i_category_id, i_manufact_id@7 as i_manufact_id, d_year@8 as d_year]
            │           HashJoinExec: mode=Partitioned, join_type=Left, on=[(cs_order_number@1, cr_order_number@1), (cs_item_sk@0, cr_item_sk@0)], projection=[cr_return_quantity@11, cr_return_amount@12, cs_quantity@2, cs_ext_sales_price@3, i_brand_id@4, i_class_id@5, i_category_id@6, i_manufact_id@7, d_year@8]
            │             [Stage 3] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            │             [Stage 4] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            │       ProjectionExec: expr=[d_year@8 as d_year, i_brand_id@4 as i_brand_id, i_class_id@5 as i_class_id, i_category_id@6 as i_category_id, i_manufact_id@7 as i_manufact_id, CAST(ss_quantity@2 AS Int64) - CASE WHEN __common_expr_3@0 IS NOT NULL THEN __common_expr_3@0 ELSE 0 END as sales_cnt, ss_ext_sales_price@3 - CASE WHEN __common_expr_4@1 IS NOT NULL THEN __common_expr_4@1 ELSE Some(0),30,15 END as sales_amt]
            │         ProjectionExec: expr=[CAST(sr_return_quantity@0 AS Int64) as __common_expr_3, CAST(sr_return_amt@1 AS Decimal128(30, 15)) as __common_expr_4, ss_quantity@2 as ss_quantity, ss_ext_sales_price@3 as ss_ext_sales_price, i_brand_id@4 as i_brand_id, i_class_id@5 as i_class_id, i_category_id@6 as i_category_id, i_manufact_id@7 as i_manufact_id, d_year@8 as d_year]
            │           HashJoinExec: mode=Partitioned, join_type=Left, on=[(ss_ticket_number@1, sr_ticket_number@1), (ss_item_sk@0, sr_item_sk@0)], projection=[sr_return_quantity@11, sr_return_amt@12, ss_quantity@2, ss_ext_sales_price@3, i_brand_id@4, i_class_id@5, i_category_id@6, i_manufact_id@7, d_year@8]
            │             [Stage 7] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            │             [Stage 8] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            │       ProjectionExec: expr=[d_year@8 as d_year, i_brand_id@4 as i_brand_id, i_class_id@5 as i_class_id, i_category_id@6 as i_category_id, i_manufact_id@7 as i_manufact_id, CAST(ws_quantity@2 AS Int64) - CASE WHEN __common_expr_5@0 IS NOT NULL THEN __common_expr_5@0 ELSE 0 END as sales_cnt, ws_ext_sales_price@3 - CASE WHEN __common_expr_6@1 IS NOT NULL THEN __common_expr_6@1 ELSE Some(0),30,15 END as sales_amt]
            │         ProjectionExec: expr=[CAST(wr_return_quantity@0 AS Int64) as __common_expr_5, CAST(wr_return_amt@1 AS Decimal128(30, 15)) as __common_expr_6, ws_quantity@2 as ws_quantity, ws_ext_sales_price@3 as ws_ext_sales_price, i_brand_id@4 as i_brand_id, i_class_id@5 as i_class_id, i_category_id@6 as i_category_id, i_manufact_id@7 as i_manufact_id, d_year@8 as d_year]
            │           HashJoinExec: mode=Partitioned, join_type=Left, on=[(ws_order_number@1, wr_order_number@1), (ws_item_sk@0, wr_item_sk@0)], projection=[wr_return_quantity@11, wr_return_amt@12, ws_quantity@2, ws_ext_sales_price@3, i_brand_id@4, i_class_id@5, i_category_id@6, i_manufact_id@7, d_year@8]
            │             [Stage 11] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            │             [Stage 12] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            └──────────────────────────────────────────────────
              ┌───── Stage 3 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
              │ RepartitionExec: partitioning=Hash([cs_order_number@1, cs_item_sk@0], 6), input_partitions=3
              │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, cs_sold_date_sk@0)], projection=[cs_item_sk@3, cs_order_number@4, cs_quantity@5, cs_ext_sales_price@6, i_brand_id@7, i_class_id@8, i_category_id@9, i_manufact_id@10, d_year@1]
              │     CoalescePartitionsExec
              │       [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
              │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, cs_item_sk@1)], projection=[cs_sold_date_sk@5, cs_item_sk@6, cs_order_number@7, cs_quantity@8, cs_ext_sales_price@9, i_brand_id@1, i_class_id@2, i_category_id@3, i_manufact_id@4]
              │       CoalescePartitionsExec
              │         [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_item_sk, cs_order_number, cs_quantity, cs_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │         t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_item_sk, cs_order_number, cs_quantity, cs_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │         t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_item_sk, cs_order_number, cs_quantity, cs_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │         t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_item_sk, cs_order_number, cs_quantity, cs_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
                ┌───── Stage 1 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                │   FilterExec: d_year@1 = 2002
                │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2002, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1, required_guarantees=[d_year in (2002)]
                │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2002, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1, required_guarantees=[d_year in (2002)]
                │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2002, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1, required_guarantees=[d_year in (2002)]
                │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2002, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1, required_guarantees=[d_year in (2002)]
                └──────────────────────────────────────────────────
                ┌───── Stage 2 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                │   FilterExec: i_category@4 = Books, projection=[i_item_sk@0, i_brand_id@1, i_class_id@2, i_category_id@3, i_manufact_id@5]
                │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id, i_category, i_manufact_id], file_type=parquet, predicate=i_category@12 = Books, pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Books AND Books <= i_category_max@1, required_guarantees=[i_category in (Books)]
                │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id, i_category, i_manufact_id], file_type=parquet, predicate=i_category@12 = Books, pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Books AND Books <= i_category_max@1, required_guarantees=[i_category in (Books)]
                │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id, i_category, i_manufact_id], file_type=parquet, predicate=i_category@12 = Books, pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Books AND Books <= i_category_max@1, required_guarantees=[i_category in (Books)]
                │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id, i_category, i_manufact_id], file_type=parquet, predicate=i_category@12 = Books, pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Books AND Books <= i_category_max@1, required_guarantees=[i_category in (Books)]
                └──────────────────────────────────────────────────
              ┌───── Stage 4 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
              │ RepartitionExec: partitioning=Hash([cr_order_number@1, cr_item_sk@0], 6), input_partitions=3
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>]]}, projection=[cr_item_sk, cr_order_number, cr_return_quantity, cr_return_amount], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-3.parquet:<int>..<int>]]}, projection=[cr_item_sk, cr_order_number, cr_return_quantity, cr_return_amount], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-3.parquet:<int>..<int>]]}, projection=[cr_item_sk, cr_order_number, cr_return_quantity, cr_return_amount], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-3.parquet:<int>..<int>]]}, projection=[cr_item_sk, cr_order_number, cr_return_quantity, cr_return_amount], file_type=parquet, predicate=DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
              ┌───── Stage 7 ── Tasks: t0:[p0..p2] t1:[p0..p2] t2:[p0..p2] t3:[p0..p2]
              │ RepartitionExec: partitioning=Hash([ss_ticket_number@1, ss_item_sk@0], 3), input_partitions=3
              │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[ss_item_sk@3, ss_ticket_number@4, ss_quantity@5, ss_ext_sales_price@6, i_brand_id@7, i_class_id@8, i_category_id@9, i_manufact_id@10, d_year@1]
              │     CoalescePartitionsExec
              │       [Stage 5] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
              │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, ss_item_sk@1)], projection=[ss_sold_date_sk@5, ss_item_sk@6, ss_ticket_number@7, ss_quantity@8, ss_ext_sales_price@9, i_brand_id@1, i_class_id@2, i_category_id@3, i_manufact_id@4]
              │       CoalescePartitionsExec
              │         [Stage 6] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_ticket_number, ss_quantity, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │         t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_ticket_number, ss_quantity, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │         t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_ticket_number, ss_quantity, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │         t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_ticket_number, ss_quantity, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
                ┌───── Stage 5 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                │   FilterExec: d_year@1 = 2002
                │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2002, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1, required_guarantees=[d_year in (2002)]
                │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2002, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1, required_guarantees=[d_year in (2002)]
                │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2002, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1, required_guarantees=[d_year in (2002)]
                │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2002, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1, required_guarantees=[d_year in (2002)]
                └──────────────────────────────────────────────────
                ┌───── Stage 6 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                │   FilterExec: i_category@4 = Books, projection=[i_item_sk@0, i_brand_id@1, i_class_id@2, i_category_id@3, i_manufact_id@5]
                │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id, i_category, i_manufact_id], file_type=parquet, predicate=i_category@12 = Books, pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Books AND Books <= i_category_max@1, required_guarantees=[i_category in (Books)]
                │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id, i_category, i_manufact_id], file_type=parquet, predicate=i_category@12 = Books, pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Books AND Books <= i_category_max@1, required_guarantees=[i_category in (Books)]
                │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id, i_category, i_manufact_id], file_type=parquet, predicate=i_category@12 = Books, pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Books AND Books <= i_category_max@1, required_guarantees=[i_category in (Books)]
                │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id, i_category, i_manufact_id], file_type=parquet, predicate=i_category@12 = Books, pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Books AND Books <= i_category_max@1, required_guarantees=[i_category in (Books)]
                └──────────────────────────────────────────────────
              ┌───── Stage 8 ── Tasks: t0:[p0..p2] t1:[p0..p2] t2:[p0..p2] t3:[p0..p2]
              │ RepartitionExec: partitioning=Hash([sr_ticket_number@1, sr_item_sk@0], 3), input_partitions=3
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>]]}, projection=[sr_item_sk, sr_ticket_number, sr_return_quantity, sr_return_amt], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-3.parquet:<int>..<int>]]}, projection=[sr_item_sk, sr_ticket_number, sr_return_quantity, sr_return_amt], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-3.parquet:<int>..<int>]]}, projection=[sr_item_sk, sr_ticket_number, sr_return_quantity, sr_return_amt], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-3.parquet:<int>..<int>]]}, projection=[sr_item_sk, sr_ticket_number, sr_return_quantity, sr_return_amt], file_type=parquet, predicate=DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
              ┌───── Stage 11 ── Tasks: t0:[p0..p2] t1:[p0..p2] t2:[p0..p2] t3:[p0..p2]
              │ RepartitionExec: partitioning=Hash([ws_order_number@1, ws_item_sk@0], 3), input_partitions=3
              │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ws_sold_date_sk@0)], projection=[ws_item_sk@3, ws_order_number@4, ws_quantity@5, ws_ext_sales_price@6, i_brand_id@7, i_class_id@8, i_category_id@9, i_manufact_id@10, d_year@1]
              │     CoalescePartitionsExec
              │       [Stage 9] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
              │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, ws_item_sk@1)], projection=[ws_sold_date_sk@5, ws_item_sk@6, ws_order_number@7, ws_quantity@8, ws_ext_sales_price@9, i_brand_id@1, i_class_id@2, i_category_id@3, i_manufact_id@4]
              │       CoalescePartitionsExec
              │         [Stage 10] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_order_number, ws_quantity, ws_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │         t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_order_number, ws_quantity, ws_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │         t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_order_number, ws_quantity, ws_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │         t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_order_number, ws_quantity, ws_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
                ┌───── Stage 9 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                │   FilterExec: d_year@1 = 2002
                │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2002, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1, required_guarantees=[d_year in (2002)]
                │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2002, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1, required_guarantees=[d_year in (2002)]
                │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2002, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1, required_guarantees=[d_year in (2002)]
                │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2002, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2002 AND 2002 <= d_year_max@1, required_guarantees=[d_year in (2002)]
                └──────────────────────────────────────────────────
                ┌───── Stage 10 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                │   FilterExec: i_category@4 = Books, projection=[i_item_sk@0, i_brand_id@1, i_class_id@2, i_category_id@3, i_manufact_id@5]
                │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id, i_category, i_manufact_id], file_type=parquet, predicate=i_category@12 = Books, pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Books AND Books <= i_category_max@1, required_guarantees=[i_category in (Books)]
                │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id, i_category, i_manufact_id], file_type=parquet, predicate=i_category@12 = Books, pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Books AND Books <= i_category_max@1, required_guarantees=[i_category in (Books)]
                │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id, i_category, i_manufact_id], file_type=parquet, predicate=i_category@12 = Books, pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Books AND Books <= i_category_max@1, required_guarantees=[i_category in (Books)]
                │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id, i_category, i_manufact_id], file_type=parquet, predicate=i_category@12 = Books, pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Books AND Books <= i_category_max@1, required_guarantees=[i_category in (Books)]
                └──────────────────────────────────────────────────
              ┌───── Stage 12 ── Tasks: t0:[p0..p2] t1:[p0..p2] t2:[p0..p2] t3:[p0..p2]
              │ RepartitionExec: partitioning=Hash([wr_order_number@1, wr_item_sk@0], 3), input_partitions=2
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_returns/part-2.parquet:<int>..<int>]]}, projection=[wr_item_sk, wr_order_number, wr_return_quantity, wr_return_amt], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_returns/part-2.parquet:<int>..<int>]]}, projection=[wr_item_sk, wr_order_number, wr_return_quantity, wr_return_amt], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_returns/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_returns/part-3.parquet:<int>..<int>]]}, projection=[wr_item_sk, wr_order_number, wr_return_quantity, wr_return_amt], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_returns/part-3.parquet:<int>..<int>]]}, projection=[wr_item_sk, wr_order_number, wr_return_quantity, wr_return_amt], file_type=parquet, predicate=DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
          ┌───── Stage 28 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ RepartitionExec: partitioning=Hash([d_year@0, i_brand_id@1, i_class_id@2, i_category_id@3, i_manufact_id@4], 3), input_partitions=3
          │   AggregateExec: mode=Partial, gby=[d_year@0 as d_year, i_brand_id@1 as i_brand_id, i_class_id@2 as i_class_id, i_category_id@3 as i_category_id, i_manufact_id@4 as i_manufact_id], aggr=[sum(sales_detail.sales_cnt), sum(sales_detail.sales_amt)], ordering_mode=PartiallySorted([0])
          │     AggregateExec: mode=FinalPartitioned, gby=[d_year@0 as d_year, i_brand_id@1 as i_brand_id, i_class_id@2 as i_class_id, i_category_id@3 as i_category_id, i_manufact_id@4 as i_manufact_id, sales_cnt@5 as sales_cnt, sales_amt@6 as sales_amt], aggr=[], ordering_mode=PartiallySorted([0])
          │       [Stage 27] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 27 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([d_year@0, i_brand_id@1, i_class_id@2, i_category_id@3, i_manufact_id@4, sales_cnt@5, sales_amt@6], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[d_year@0 as d_year, i_brand_id@1 as i_brand_id, i_class_id@2 as i_class_id, i_category_id@3 as i_category_id, i_manufact_id@4 as i_manufact_id, sales_cnt@5 as sales_cnt, sales_amt@6 as sales_amt], aggr=[], ordering_mode=PartiallySorted([0])
            │     DistributedUnionExec: t0:[c0(0/2)] t1:[c0(1/2)] t2:[c1] t3:[c2]
            │       ProjectionExec: expr=[d_year@8 as d_year, i_brand_id@4 as i_brand_id, i_class_id@5 as i_class_id, i_category_id@6 as i_category_id, i_manufact_id@7 as i_manufact_id, CAST(cs_quantity@2 AS Int64) - CASE WHEN __common_expr_7@0 IS NOT NULL THEN __common_expr_7@0 ELSE 0 END as sales_cnt, cs_ext_sales_price@3 - CASE WHEN __common_expr_8@1 IS NOT NULL THEN __common_expr_8@1 ELSE Some(0),30,15 END as sales_amt]
            │         ProjectionExec: expr=[CAST(cr_return_quantity@0 AS Int64) as __common_expr_7, CAST(cr_return_amount@1 AS Decimal128(30, 15)) as __common_expr_8, cs_quantity@2 as cs_quantity, cs_ext_sales_price@3 as cs_ext_sales_price, i_brand_id@4 as i_brand_id, i_class_id@5 as i_class_id, i_category_id@6 as i_category_id, i_manufact_id@7 as i_manufact_id, d_year@8 as d_year]
            │           HashJoinExec: mode=Partitioned, join_type=Left, on=[(cs_order_number@1, cr_order_number@1), (cs_item_sk@0, cr_item_sk@0)], projection=[cr_return_quantity@11, cr_return_amount@12, cs_quantity@2, cs_ext_sales_price@3, i_brand_id@4, i_class_id@5, i_category_id@6, i_manufact_id@7, d_year@8]
            │             [Stage 17] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            │             [Stage 18] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            │       ProjectionExec: expr=[d_year@8 as d_year, i_brand_id@4 as i_brand_id, i_class_id@5 as i_class_id, i_category_id@6 as i_category_id, i_manufact_id@7 as i_manufact_id, CAST(ss_quantity@2 AS Int64) - CASE WHEN __common_expr_9@0 IS NOT NULL THEN __common_expr_9@0 ELSE 0 END as sales_cnt, ss_ext_sales_price@3 - CASE WHEN __common_expr_10@1 IS NOT NULL THEN __common_expr_10@1 ELSE Some(0),30,15 END as sales_amt]
            │         ProjectionExec: expr=[CAST(sr_return_quantity@0 AS Int64) as __common_expr_9, CAST(sr_return_amt@1 AS Decimal128(30, 15)) as __common_expr_10, ss_quantity@2 as ss_quantity, ss_ext_sales_price@3 as ss_ext_sales_price, i_brand_id@4 as i_brand_id, i_class_id@5 as i_class_id, i_category_id@6 as i_category_id, i_manufact_id@7 as i_manufact_id, d_year@8 as d_year]
            │           HashJoinExec: mode=Partitioned, join_type=Left, on=[(ss_ticket_number@1, sr_ticket_number@1), (ss_item_sk@0, sr_item_sk@0)], projection=[sr_return_quantity@11, sr_return_amt@12, ss_quantity@2, ss_ext_sales_price@3, i_brand_id@4, i_class_id@5, i_category_id@6, i_manufact_id@7, d_year@8]
            │             [Stage 21] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            │             [Stage 22] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            │       ProjectionExec: expr=[d_year@8 as d_year, i_brand_id@4 as i_brand_id, i_class_id@5 as i_class_id, i_category_id@6 as i_category_id, i_manufact_id@7 as i_manufact_id, CAST(ws_quantity@2 AS Int64) - CASE WHEN __common_expr_11@0 IS NOT NULL THEN __common_expr_11@0 ELSE 0 END as sales_cnt, ws_ext_sales_price@3 - CASE WHEN __common_expr_12@1 IS NOT NULL THEN __common_expr_12@1 ELSE Some(0),30,15 END as sales_amt]
            │         ProjectionExec: expr=[CAST(wr_return_quantity@0 AS Int64) as __common_expr_11, CAST(wr_return_amt@1 AS Decimal128(30, 15)) as __common_expr_12, ws_quantity@2 as ws_quantity, ws_ext_sales_price@3 as ws_ext_sales_price, i_brand_id@4 as i_brand_id, i_class_id@5 as i_class_id, i_category_id@6 as i_category_id, i_manufact_id@7 as i_manufact_id, d_year@8 as d_year]
            │           HashJoinExec: mode=Partitioned, join_type=Left, on=[(ws_order_number@1, wr_order_number@1), (ws_item_sk@0, wr_item_sk@0)], projection=[wr_return_quantity@11, wr_return_amt@12, ws_quantity@2, ws_ext_sales_price@3, i_brand_id@4, i_class_id@5, i_category_id@6, i_manufact_id@7, d_year@8]
            │             [Stage 25] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            │             [Stage 26] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            └──────────────────────────────────────────────────
              ┌───── Stage 17 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
              │ RepartitionExec: partitioning=Hash([cs_order_number@1, cs_item_sk@0], 6), input_partitions=3
              │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, cs_sold_date_sk@0)], projection=[cs_item_sk@3, cs_order_number@4, cs_quantity@5, cs_ext_sales_price@6, i_brand_id@7, i_class_id@8, i_category_id@9, i_manufact_id@10, d_year@1]
              │     CoalescePartitionsExec
              │       [Stage 15] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
              │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, cs_item_sk@1)], projection=[cs_sold_date_sk@5, cs_item_sk@6, cs_order_number@7, cs_quantity@8, cs_ext_sales_price@9, i_brand_id@1, i_class_id@2, i_category_id@3, i_manufact_id@4]
              │       CoalescePartitionsExec
              │         [Stage 16] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_item_sk, cs_order_number, cs_quantity, cs_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │         t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_item_sk, cs_order_number, cs_quantity, cs_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │         t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_item_sk, cs_order_number, cs_quantity, cs_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │         t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_item_sk, cs_order_number, cs_quantity, cs_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
                ┌───── Stage 15 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                │   FilterExec: d_year@1 = 2001
                │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
                │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
                │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
                │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
                └──────────────────────────────────────────────────
                ┌───── Stage 16 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                │   FilterExec: i_category@4 = Books, projection=[i_item_sk@0, i_brand_id@1, i_class_id@2, i_category_id@3, i_manufact_id@5]
                │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id, i_category, i_manufact_id], file_type=parquet, predicate=i_category@12 = Books AND DynamicFilter [ empty ], pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Books AND Books <= i_category_max@1, required_guarantees=[i_category in (Books)]
                │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id, i_category, i_manufact_id], file_type=parquet, predicate=i_category@12 = Books AND DynamicFilter [ empty ], pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Books AND Books <= i_category_max@1, required_guarantees=[i_category in (Books)]
                │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id, i_category, i_manufact_id], file_type=parquet, predicate=i_category@12 = Books AND DynamicFilter [ empty ], pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Books AND Books <= i_category_max@1, required_guarantees=[i_category in (Books)]
                │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id, i_category, i_manufact_id], file_type=parquet, predicate=i_category@12 = Books AND DynamicFilter [ empty ], pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Books AND Books <= i_category_max@1, required_guarantees=[i_category in (Books)]
                └──────────────────────────────────────────────────
              ┌───── Stage 18 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
              │ RepartitionExec: partitioning=Hash([cr_order_number@1, cr_item_sk@0], 6), input_partitions=3
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>]]}, projection=[cr_item_sk, cr_order_number, cr_return_quantity, cr_return_amount], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-3.parquet:<int>..<int>]]}, projection=[cr_item_sk, cr_order_number, cr_return_quantity, cr_return_amount], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-3.parquet:<int>..<int>]]}, projection=[cr_item_sk, cr_order_number, cr_return_quantity, cr_return_amount], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-3.parquet:<int>..<int>]]}, projection=[cr_item_sk, cr_order_number, cr_return_quantity, cr_return_amount], file_type=parquet, predicate=DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
              ┌───── Stage 21 ── Tasks: t0:[p0..p2] t1:[p0..p2] t2:[p0..p2] t3:[p0..p2]
              │ RepartitionExec: partitioning=Hash([ss_ticket_number@1, ss_item_sk@0], 3), input_partitions=3
              │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[ss_item_sk@3, ss_ticket_number@4, ss_quantity@5, ss_ext_sales_price@6, i_brand_id@7, i_class_id@8, i_category_id@9, i_manufact_id@10, d_year@1]
              │     CoalescePartitionsExec
              │       [Stage 19] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
              │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, ss_item_sk@1)], projection=[ss_sold_date_sk@5, ss_item_sk@6, ss_ticket_number@7, ss_quantity@8, ss_ext_sales_price@9, i_brand_id@1, i_class_id@2, i_category_id@3, i_manufact_id@4]
              │       CoalescePartitionsExec
              │         [Stage 20] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_ticket_number, ss_quantity, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │         t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_ticket_number, ss_quantity, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │         t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_ticket_number, ss_quantity, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │         t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_ticket_number, ss_quantity, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
                ┌───── Stage 19 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                │   FilterExec: d_year@1 = 2001
                │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
                │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
                │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
                │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
                └──────────────────────────────────────────────────
                ┌───── Stage 20 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                │   FilterExec: i_category@4 = Books, projection=[i_item_sk@0, i_brand_id@1, i_class_id@2, i_category_id@3, i_manufact_id@5]
                │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id, i_category, i_manufact_id], file_type=parquet, predicate=i_category@12 = Books AND DynamicFilter [ empty ], pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Books AND Books <= i_category_max@1, required_guarantees=[i_category in (Books)]
                │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id, i_category, i_manufact_id], file_type=parquet, predicate=i_category@12 = Books AND DynamicFilter [ empty ], pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Books AND Books <= i_category_max@1, required_guarantees=[i_category in (Books)]
                │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id, i_category, i_manufact_id], file_type=parquet, predicate=i_category@12 = Books AND DynamicFilter [ empty ], pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Books AND Books <= i_category_max@1, required_guarantees=[i_category in (Books)]
                │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id, i_category, i_manufact_id], file_type=parquet, predicate=i_category@12 = Books AND DynamicFilter [ empty ], pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Books AND Books <= i_category_max@1, required_guarantees=[i_category in (Books)]
                └──────────────────────────────────────────────────
              ┌───── Stage 22 ── Tasks: t0:[p0..p2] t1:[p0..p2] t2:[p0..p2] t3:[p0..p2]
              │ RepartitionExec: partitioning=Hash([sr_ticket_number@1, sr_item_sk@0], 3), input_partitions=3
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>]]}, projection=[sr_item_sk, sr_ticket_number, sr_return_quantity, sr_return_amt], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-3.parquet:<int>..<int>]]}, projection=[sr_item_sk, sr_ticket_number, sr_return_quantity, sr_return_amt], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-3.parquet:<int>..<int>]]}, projection=[sr_item_sk, sr_ticket_number, sr_return_quantity, sr_return_amt], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-3.parquet:<int>..<int>]]}, projection=[sr_item_sk, sr_ticket_number, sr_return_quantity, sr_return_amt], file_type=parquet, predicate=DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
              ┌───── Stage 25 ── Tasks: t0:[p0..p2] t1:[p0..p2] t2:[p0..p2] t3:[p0..p2]
              │ RepartitionExec: partitioning=Hash([ws_order_number@1, ws_item_sk@0], 3), input_partitions=3
              │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ws_sold_date_sk@0)], projection=[ws_item_sk@3, ws_order_number@4, ws_quantity@5, ws_ext_sales_price@6, i_brand_id@7, i_class_id@8, i_category_id@9, i_manufact_id@10, d_year@1]
              │     CoalescePartitionsExec
              │       [Stage 23] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
              │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, ws_item_sk@1)], projection=[ws_sold_date_sk@5, ws_item_sk@6, ws_order_number@7, ws_quantity@8, ws_ext_sales_price@9, i_brand_id@1, i_class_id@2, i_category_id@3, i_manufact_id@4]
              │       CoalescePartitionsExec
              │         [Stage 24] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_order_number, ws_quantity, ws_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │         t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_order_number, ws_quantity, ws_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │         t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_order_number, ws_quantity, ws_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │         t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_order_number, ws_quantity, ws_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
                ┌───── Stage 23 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                │   FilterExec: d_year@1 = 2001
                │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
                │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
                │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
                │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2001, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2001 AND 2001 <= d_year_max@1, required_guarantees=[d_year in (2001)]
                └──────────────────────────────────────────────────
                ┌───── Stage 24 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                │   FilterExec: i_category@4 = Books, projection=[i_item_sk@0, i_brand_id@1, i_class_id@2, i_category_id@3, i_manufact_id@5]
                │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id, i_category, i_manufact_id], file_type=parquet, predicate=i_category@12 = Books AND DynamicFilter [ empty ], pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Books AND Books <= i_category_max@1, required_guarantees=[i_category in (Books)]
                │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id, i_category, i_manufact_id], file_type=parquet, predicate=i_category@12 = Books AND DynamicFilter [ empty ], pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Books AND Books <= i_category_max@1, required_guarantees=[i_category in (Books)]
                │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id, i_category, i_manufact_id], file_type=parquet, predicate=i_category@12 = Books AND DynamicFilter [ empty ], pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Books AND Books <= i_category_max@1, required_guarantees=[i_category in (Books)]
                │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand_id, i_class_id, i_category_id, i_category, i_manufact_id], file_type=parquet, predicate=i_category@12 = Books AND DynamicFilter [ empty ], pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Books AND Books <= i_category_max@1, required_guarantees=[i_category in (Books)]
                └──────────────────────────────────────────────────
              ┌───── Stage 26 ── Tasks: t0:[p0..p2] t1:[p0..p2] t2:[p0..p2] t3:[p0..p2]
              │ RepartitionExec: partitioning=Hash([wr_order_number@1, wr_item_sk@0], 3), input_partitions=2
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_returns/part-2.parquet:<int>..<int>]]}, projection=[wr_item_sk, wr_order_number, wr_return_quantity, wr_return_amt], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_returns/part-2.parquet:<int>..<int>]]}, projection=[wr_item_sk, wr_order_number, wr_return_quantity, wr_return_amt], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_returns/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_returns/part-3.parquet:<int>..<int>]]}, projection=[wr_item_sk, wr_order_number, wr_return_quantity, wr_return_amt], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_returns/part-3.parquet:<int>..<int>]]}, projection=[wr_item_sk, wr_order_number, wr_return_quantity, wr_return_amt], file_type=parquet, predicate=DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_76() -> Result<()> {
        let display = test_tpcds_query("q76").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [channel@0 ASC, col_name@1 ASC, d_year@2 ASC, d_qoy@3 ASC, i_category@4 ASC], fetch=100
        │   [Stage 8] => NetworkCoalesceExec: output_partitions=6, input_tasks=2
        └──────────────────────────────────────────────────
          ┌───── Stage 8 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ SortExec: TopK(fetch=100), expr=[channel@0 ASC, col_name@1 ASC, d_year@2 ASC, d_qoy@3 ASC, i_category@4 ASC], preserve_partitioning=[true]
          │   ProjectionExec: expr=[channel@0 as channel, col_name@1 as col_name, d_year@2 as d_year, d_qoy@3 as d_qoy, i_category@4 as i_category, count(Int64(1))@5 as sales_cnt, sum(foo.ext_sales_price)@6 as sales_amt]
          │     AggregateExec: mode=FinalPartitioned, gby=[channel@0 as channel, col_name@1 as col_name, d_year@2 as d_year, d_qoy@3 as d_qoy, i_category@4 as i_category], aggr=[count(Int64(1)), sum(foo.ext_sales_price)]
          │       [Stage 7] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 7 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([channel@0, col_name@1, d_year@2, d_qoy@3, i_category@4], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[channel@0 as channel, col_name@1 as col_name, d_year@2 as d_year, d_qoy@3 as d_qoy, i_category@4 as i_category], aggr=[count(Int64(1)), sum(foo.ext_sales_price)], ordering_mode=PartiallySorted([0, 1])
            │     DistributedUnionExec: t0:[c0(0/2)] t1:[c0(1/2)] t2:[c1] t3:[c2]
            │       ProjectionExec: expr=[store as channel, ss_store_sk as col_name, d_year@0 as d_year, d_qoy@1 as d_qoy, i_category@2 as i_category, ss_ext_sales_price@3 as ext_sales_price]
            │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[d_year@1, d_qoy@2, i_category@5, ss_ext_sales_price@4]
            │           CoalescePartitionsExec
            │             [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=4, input_tasks=4
            │           HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, ss_item_sk@1)], projection=[ss_sold_date_sk@2, ss_ext_sales_price@4, i_category@1]
            │             CoalescePartitionsExec
            │               [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=4, input_tasks=4
            │             FilterExec: ss_store_sk@2 IS NULL, projection=[ss_sold_date_sk@0, ss_item_sk@1, ss_ext_sales_price@3]
            │               DistributedLeafExec:
            │                 t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_store_sk, ss_ext_sales_price], file_type=parquet, predicate=ss_store_sk@7 IS NULL AND DynamicFilter [ empty ] AND DynamicFilter [ empty ], pruning_predicate=ss_store_sk_null_count@0 > 0, required_guarantees=[]
            │                 t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_store_sk, ss_ext_sales_price], file_type=parquet, predicate=ss_store_sk@7 IS NULL AND DynamicFilter [ empty ] AND DynamicFilter [ empty ], pruning_predicate=ss_store_sk_null_count@0 > 0, required_guarantees=[]
            │       ProjectionExec: expr=[web as channel, ws_ship_customer_sk as col_name, d_year@0 as d_year, d_qoy@1 as d_qoy, i_category@2 as i_category, ws_ext_sales_price@3 as ext_sales_price]
            │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ws_sold_date_sk@0)], projection=[d_year@1, d_qoy@2, i_category@5, ws_ext_sales_price@4]
            │           CoalescePartitionsExec
            │             [Stage 3] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=2, input_tasks=4
            │           HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, ws_item_sk@1)], projection=[ws_sold_date_sk@2, ws_ext_sales_price@4, i_category@1]
            │             CoalescePartitionsExec
            │               [Stage 4] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=2, input_tasks=4
            │             FilterExec: ws_ship_customer_sk@2 IS NULL, projection=[ws_sold_date_sk@0, ws_item_sk@1, ws_ext_sales_price@3]
            │               DistributedLeafExec:
            │                 t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_ship_customer_sk, ws_ext_sales_price], file_type=parquet, predicate=ws_ship_customer_sk@8 IS NULL AND DynamicFilter [ empty ] AND DynamicFilter [ empty ], pruning_predicate=ws_ship_customer_sk_null_count@0 > 0, required_guarantees=[]
            │       ProjectionExec: expr=[catalog as channel, cs_ship_addr_sk as col_name, d_year@0 as d_year, d_qoy@1 as d_qoy, i_category@2 as i_category, cs_ext_sales_price@3 as ext_sales_price]
            │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, cs_sold_date_sk@0)], projection=[d_year@1, d_qoy@2, i_category@5, cs_ext_sales_price@4]
            │           CoalescePartitionsExec
            │             [Stage 5] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=2, input_tasks=4
            │           HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, cs_item_sk@1)], projection=[cs_sold_date_sk@2, cs_ext_sales_price@4, i_category@1]
            │             CoalescePartitionsExec
            │               [Stage 6] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=2, input_tasks=4
            │             FilterExec: cs_ship_addr_sk@1 IS NULL, projection=[cs_sold_date_sk@0, cs_item_sk@2, cs_ext_sales_price@3]
            │               DistributedLeafExec:
            │                 t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_ship_addr_sk, cs_item_sk, cs_ext_sales_price], file_type=parquet, predicate=cs_ship_addr_sk@10 IS NULL AND DynamicFilter [ empty ] AND DynamicFilter [ empty ], pruning_predicate=cs_ship_addr_sk_null_count@0 > 0, required_guarantees=[]
            └──────────────────────────────────────────────────
              ┌───── Stage 1 ── Tasks: t0:[p0..p3] t1:[p4..p7] t2:[p8..p11] t3:[p12..p15]
              │ BroadcastExec: input_partitions=2, consumer_tasks=2, output_partitions=4
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_qoy], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_qoy], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_qoy], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_qoy], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 2 ── Tasks: t0:[p0..p3] t1:[p4..p7] t2:[p8..p11] t3:[p12..p15]
              │ BroadcastExec: input_partitions=2, consumer_tasks=2, output_partitions=4
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_category], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_category], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_category], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_category], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 3 ── Tasks: t0:[p0..p1] t1:[p2..p3] t2:[p4..p5] t3:[p6..p7]
              │ BroadcastExec: input_partitions=2, consumer_tasks=1, output_partitions=2
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_qoy], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_qoy], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_qoy], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_qoy], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 4 ── Tasks: t0:[p0..p1] t1:[p2..p3] t2:[p4..p5] t3:[p6..p7]
              │ BroadcastExec: input_partitions=2, consumer_tasks=1, output_partitions=2
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_category], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_category], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_category], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_category], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 5 ── Tasks: t0:[p0..p1] t1:[p2..p3] t2:[p4..p5] t3:[p6..p7]
              │ BroadcastExec: input_partitions=2, consumer_tasks=1, output_partitions=2
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_qoy], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_qoy], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_qoy], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_qoy], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 6 ── Tasks: t0:[p0..p1] t1:[p2..p3] t2:[p4..p5] t3:[p6..p7]
              │ BroadcastExec: input_partitions=2, consumer_tasks=1, output_partitions=2
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_category], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_category], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_category], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_category], file_type=parquet
              └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_77() -> Result<()> {
        let display = test_tpcds_query("q77").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [channel@0 ASC, id@1 ASC, returns_@3 DESC], fetch=100
        │   SortExec: TopK(fetch=100), expr=[channel@0 ASC, id@1 ASC, returns_@3 DESC], preserve_partitioning=[true]
        │     ProjectionExec: expr=[channel@0 as channel, id@1 as id, sum(x.sales)@3 as sales, sum(x.returns_)@4 as returns_, sum(x.profit)@5 as profit]
        │       AggregateExec: mode=FinalPartitioned, gby=[channel@0 as channel, id@1 as id, __grouping_id@2 as __grouping_id], aggr=[sum(x.sales), sum(x.returns_), sum(x.profit)]
        │         [Stage 20] => NetworkShuffleExec: output_partitions=3, input_tasks=2
        └──────────────────────────────────────────────────
          ┌───── Stage 20 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ RepartitionExec: partitioning=Hash([channel@0, id@1, __grouping_id@2], 3), input_partitions=3
          │   AggregateExec: mode=Partial, gby=[(NULL as channel, NULL as id), (channel@0 as channel, NULL as id), (channel@0 as channel, id@1 as id)], aggr=[sum(x.sales), sum(x.returns_), sum(x.profit)]
          │     InterleaveExec
          │       ProjectionExec: expr=[store channel as channel, s_store_sk@2 as id, sales@3 as sales, CASE WHEN __common_expr_1@0 IS NOT NULL THEN __common_expr_1@0 ELSE Some(0),22,2 END as returns_, profit@4 - CASE WHEN __common_expr_2@1 IS NOT NULL THEN __common_expr_2@1 ELSE Some(0),22,2 END as profit]
          │         ProjectionExec: expr=[CAST(returns_@0 AS Decimal128(22, 2)) as __common_expr_1, CAST(profit_loss@1 AS Decimal128(22, 2)) as __common_expr_2, s_store_sk@2 as s_store_sk, sales@3 as sales, profit@4 as profit]
          │           HashJoinExec: mode=CollectLeft, join_type=Right, on=[(s_store_sk@0, s_store_sk@0)], projection=[returns_@1, profit_loss@2, s_store_sk@3, sales@4, profit@5]
          │             CoalescePartitionsExec
          │               [Stage 4] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=6, input_tasks=2
          │             ProjectionExec: expr=[s_store_sk@0 as s_store_sk, sum(store_sales.ss_ext_sales_price)@1 as sales, sum(store_sales.ss_net_profit)@2 as profit]
          │               AggregateExec: mode=FinalPartitioned, gby=[s_store_sk@0 as s_store_sk], aggr=[sum(store_sales.ss_ext_sales_price), sum(store_sales.ss_net_profit)]
          │                 [Stage 7] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          │       ProjectionExec: expr=[catalog channel as channel, cs_call_center_sk@2 as id, sales@3 as sales, CAST(returns_@0 AS Decimal128(22, 2)) as returns_, CAST(profit@4 - profit_loss@1 AS Decimal128(23, 2)) as profit]
          │         CrossJoinExec
          │           CoalescePartitionsExec
          │             [Stage 10] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=6, input_tasks=2
          │           ProjectionExec: expr=[cs_call_center_sk@0 as cs_call_center_sk, sum(catalog_sales.cs_ext_sales_price)@1 as sales, sum(catalog_sales.cs_net_profit)@2 as profit]
          │             AggregateExec: mode=FinalPartitioned, gby=[cs_call_center_sk@0 as cs_call_center_sk], aggr=[sum(catalog_sales.cs_ext_sales_price), sum(catalog_sales.cs_net_profit)]
          │               [Stage 12] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          │       ProjectionExec: expr=[web channel as channel, wp_web_page_sk@2 as id, sales@3 as sales, CASE WHEN __common_expr_3@0 IS NOT NULL THEN __common_expr_3@0 ELSE Some(0),22,2 END as returns_, profit@4 - CASE WHEN __common_expr_4@1 IS NOT NULL THEN __common_expr_4@1 ELSE Some(0),22,2 END as profit]
          │         ProjectionExec: expr=[CAST(returns_@0 AS Decimal128(22, 2)) as __common_expr_3, CAST(profit_loss@1 AS Decimal128(22, 2)) as __common_expr_4, wp_web_page_sk@2 as wp_web_page_sk, sales@3 as sales, profit@4 as profit]
          │           HashJoinExec: mode=CollectLeft, join_type=Right, on=[(wp_web_page_sk@0, wp_web_page_sk@0)], projection=[returns_@1, profit_loss@2, wp_web_page_sk@3, sales@4, profit@5]
          │             CoalescePartitionsExec
          │               [Stage 16] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=6, input_tasks=2
          │             ProjectionExec: expr=[wp_web_page_sk@0 as wp_web_page_sk, sum(web_sales.ws_ext_sales_price)@1 as sales, sum(web_sales.ws_net_profit)@2 as profit]
          │               AggregateExec: mode=FinalPartitioned, gby=[wp_web_page_sk@0 as wp_web_page_sk], aggr=[sum(web_sales.ws_ext_sales_price), sum(web_sales.ws_net_profit)]
          │                 [Stage 19] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 4 ── Tasks: t0:[p0..p5] t1:[p6..p11]
            │ BroadcastExec: input_partitions=3, consumer_tasks=2, output_partitions=6
            │   ProjectionExec: expr=[s_store_sk@0 as s_store_sk, sum(store_returns.sr_return_amt)@1 as returns_, sum(store_returns.sr_net_loss)@2 as profit_loss]
            │     AggregateExec: mode=FinalPartitioned, gby=[s_store_sk@0 as s_store_sk], aggr=[sum(store_returns.sr_return_amt), sum(store_returns.sr_net_loss)]
            │       [Stage 3] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            └──────────────────────────────────────────────────
              ┌───── Stage 3 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
              │ RepartitionExec: partitioning=Hash([s_store_sk@0], 6), input_partitions=3
              │   AggregateExec: mode=Partial, gby=[s_store_sk@2 as s_store_sk], aggr=[sum(store_returns.sr_return_amt), sum(store_returns.sr_net_loss)]
              │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(s_store_sk@0, sr_store_sk@0)], projection=[sr_return_amt@2, sr_net_loss@3, s_store_sk@0]
              │       CoalescePartitionsExec
              │         [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
              │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, sr_returned_date_sk@0)], projection=[sr_store_sk@2, sr_return_amt@3, sr_net_loss@4]
              │         CoalescePartitionsExec
              │           [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
              │         DistributedLeafExec:
              │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>]]}, projection=[sr_returned_date_sk, sr_store_sk, sr_return_amt, sr_net_loss], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │           t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-3.parquet:<int>..<int>]]}, projection=[sr_returned_date_sk, sr_store_sk, sr_return_amt, sr_net_loss], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │           t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-3.parquet:<int>..<int>]]}, projection=[sr_returned_date_sk, sr_store_sk, sr_return_amt, sr_net_loss], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │           t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-3.parquet:<int>..<int>]]}, projection=[sr_returned_date_sk, sr_store_sk, sr_return_amt, sr_net_loss], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
                ┌───── Stage 1 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                │   DistributedLeafExec:
                │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>]]}, projection=[s_store_sk], file_type=parquet
                │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>]]}, projection=[s_store_sk], file_type=parquet
                │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk], file_type=parquet
                │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk], file_type=parquet
                └──────────────────────────────────────────────────
                ┌───── Stage 2 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                │   FilterExec: d_date@1 >= 2000-08-23 AND d_date@1 <= 2000-09-22, projection=[d_date_sk@0]
                │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-08-23 AND d_date@2 <= 2000-09-22, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-08-23 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-09-22, required_guarantees=[]
                │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-08-23 AND d_date@2 <= 2000-09-22, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-08-23 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-09-22, required_guarantees=[]
                │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-08-23 AND d_date@2 <= 2000-09-22, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-08-23 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-09-22, required_guarantees=[]
                │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-08-23 AND d_date@2 <= 2000-09-22, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-08-23 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-09-22, required_guarantees=[]
                └──────────────────────────────────────────────────
            ┌───── Stage 7 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([s_store_sk@0], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[s_store_sk@2 as s_store_sk], aggr=[sum(store_sales.ss_ext_sales_price), sum(store_sales.ss_net_profit)]
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(s_store_sk@0, ss_store_sk@0)], projection=[ss_ext_sales_price@2, ss_net_profit@3, s_store_sk@0]
            │       CoalescePartitionsExec
            │         [Stage 5] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[ss_store_sk@2, ss_ext_sales_price@3, ss_net_profit@4]
            │         CoalescePartitionsExec
            │           [Stage 6] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │         DistributedLeafExec:
            │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_store_sk, ss_ext_sales_price, ss_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_store_sk, ss_ext_sales_price, ss_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_store_sk, ss_ext_sales_price, ss_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_store_sk, ss_ext_sales_price, ss_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 5 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>]]}, projection=[s_store_sk], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>]]}, projection=[s_store_sk], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 6 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_date@1 >= 2000-08-23 AND d_date@1 <= 2000-09-22, projection=[d_date_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-08-23 AND d_date@2 <= 2000-09-22, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-08-23 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-09-22, required_guarantees=[]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-08-23 AND d_date@2 <= 2000-09-22, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-08-23 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-09-22, required_guarantees=[]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-08-23 AND d_date@2 <= 2000-09-22, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-08-23 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-09-22, required_guarantees=[]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-08-23 AND d_date@2 <= 2000-09-22, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-08-23 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-09-22, required_guarantees=[]
              └──────────────────────────────────────────────────
            ┌───── Stage 10 ── Tasks: t0:[p0..p5] t1:[p6..p11]
            │ BroadcastExec: input_partitions=3, consumer_tasks=2, output_partitions=6
            │   ProjectionExec: expr=[sum(catalog_returns.cr_return_amount)@1 as returns_, sum(catalog_returns.cr_net_loss)@2 as profit_loss]
            │     AggregateExec: mode=FinalPartitioned, gby=[cr_call_center_sk@0 as cr_call_center_sk], aggr=[sum(catalog_returns.cr_return_amount), sum(catalog_returns.cr_net_loss)]
            │       [Stage 9] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            └──────────────────────────────────────────────────
              ┌───── Stage 9 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
              │ RepartitionExec: partitioning=Hash([cr_call_center_sk@0], 6), input_partitions=3
              │   AggregateExec: mode=Partial, gby=[cr_call_center_sk@0 as cr_call_center_sk], aggr=[sum(catalog_returns.cr_return_amount), sum(catalog_returns.cr_net_loss)]
              │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, cr_returned_date_sk@0)], projection=[cr_call_center_sk@2, cr_return_amount@3, cr_net_loss@4]
              │       CoalescePartitionsExec
              │         [Stage 8] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>]]}, projection=[cr_returned_date_sk, cr_call_center_sk, cr_return_amount, cr_net_loss], file_type=parquet, predicate=DynamicFilter [ empty ]
              │         t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-3.parquet:<int>..<int>]]}, projection=[cr_returned_date_sk, cr_call_center_sk, cr_return_amount, cr_net_loss], file_type=parquet, predicate=DynamicFilter [ empty ]
              │         t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-3.parquet:<int>..<int>]]}, projection=[cr_returned_date_sk, cr_call_center_sk, cr_return_amount, cr_net_loss], file_type=parquet, predicate=DynamicFilter [ empty ]
              │         t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-3.parquet:<int>..<int>]]}, projection=[cr_returned_date_sk, cr_call_center_sk, cr_return_amount, cr_net_loss], file_type=parquet, predicate=DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
                ┌───── Stage 8 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                │   FilterExec: d_date@1 >= 2000-08-23 AND d_date@1 <= 2000-09-22, projection=[d_date_sk@0]
                │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-08-23 AND d_date@2 <= 2000-09-22, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-08-23 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-09-22, required_guarantees=[]
                │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-08-23 AND d_date@2 <= 2000-09-22, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-08-23 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-09-22, required_guarantees=[]
                │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-08-23 AND d_date@2 <= 2000-09-22, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-08-23 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-09-22, required_guarantees=[]
                │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-08-23 AND d_date@2 <= 2000-09-22, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-08-23 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-09-22, required_guarantees=[]
                └──────────────────────────────────────────────────
            ┌───── Stage 12 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([cs_call_center_sk@0], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[cs_call_center_sk@0 as cs_call_center_sk], aggr=[sum(catalog_sales.cs_ext_sales_price), sum(catalog_sales.cs_net_profit)]
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, cs_sold_date_sk@0)], projection=[cs_call_center_sk@2, cs_ext_sales_price@3, cs_net_profit@4]
            │       CoalescePartitionsExec
            │         [Stage 11] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_call_center_sk, cs_ext_sales_price, cs_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ]
            │         t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_call_center_sk, cs_ext_sales_price, cs_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ]
            │         t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_call_center_sk, cs_ext_sales_price, cs_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ]
            │         t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_call_center_sk, cs_ext_sales_price, cs_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 11 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_date@1 >= 2000-08-23 AND d_date@1 <= 2000-09-22, projection=[d_date_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-08-23 AND d_date@2 <= 2000-09-22, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-08-23 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-09-22, required_guarantees=[]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-08-23 AND d_date@2 <= 2000-09-22, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-08-23 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-09-22, required_guarantees=[]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-08-23 AND d_date@2 <= 2000-09-22, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-08-23 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-09-22, required_guarantees=[]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-08-23 AND d_date@2 <= 2000-09-22, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-08-23 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-09-22, required_guarantees=[]
              └──────────────────────────────────────────────────
            ┌───── Stage 16 ── Tasks: t0:[p0..p5] t1:[p6..p11]
            │ BroadcastExec: input_partitions=3, consumer_tasks=2, output_partitions=6
            │   ProjectionExec: expr=[wp_web_page_sk@0 as wp_web_page_sk, sum(web_returns.wr_return_amt)@1 as returns_, sum(web_returns.wr_net_loss)@2 as profit_loss]
            │     AggregateExec: mode=FinalPartitioned, gby=[wp_web_page_sk@0 as wp_web_page_sk], aggr=[sum(web_returns.wr_return_amt), sum(web_returns.wr_net_loss)]
            │       [Stage 15] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            └──────────────────────────────────────────────────
              ┌───── Stage 15 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
              │ RepartitionExec: partitioning=Hash([wp_web_page_sk@0], 6), input_partitions=3
              │   AggregateExec: mode=Partial, gby=[wp_web_page_sk@2 as wp_web_page_sk], aggr=[sum(web_returns.wr_return_amt), sum(web_returns.wr_net_loss)]
              │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(wp_web_page_sk@0, wr_web_page_sk@0)], projection=[wr_return_amt@2, wr_net_loss@3, wp_web_page_sk@0]
              │       CoalescePartitionsExec
              │         [Stage 13] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
              │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, wr_returned_date_sk@0)], projection=[wr_web_page_sk@2, wr_return_amt@3, wr_net_loss@4]
              │         CoalescePartitionsExec
              │           [Stage 14] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
              │         RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │           DistributedLeafExec:
              │             t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_returns/part-2.parquet:<int>..<int>]]}, projection=[wr_returned_date_sk, wr_web_page_sk, wr_return_amt, wr_net_loss], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │             t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_returns/part-2.parquet:<int>..<int>]]}, projection=[wr_returned_date_sk, wr_web_page_sk, wr_return_amt, wr_net_loss], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │             t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_returns/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_returns/part-3.parquet:<int>..<int>]]}, projection=[wr_returned_date_sk, wr_web_page_sk, wr_return_amt, wr_net_loss], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │             t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_returns/part-3.parquet:<int>..<int>]]}, projection=[wr_returned_date_sk, wr_web_page_sk, wr_return_amt, wr_net_loss], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
                ┌───── Stage 13 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                │   DistributedLeafExec:
                │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_page/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_page/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_page/part-1.parquet:<int>..<int>]]}, projection=[wp_web_page_sk], file_type=parquet
                │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_page/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_page/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_page/part-2.parquet:<int>..<int>]]}, projection=[wp_web_page_sk], file_type=parquet
                │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_page/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_page/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_page/part-3.parquet:<int>..<int>]]}, projection=[wp_web_page_sk], file_type=parquet
                │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_page/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_page/part-3.parquet:<int>..<int>]]}, projection=[wp_web_page_sk], file_type=parquet
                └──────────────────────────────────────────────────
                ┌───── Stage 14 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                │   FilterExec: d_date@1 >= 2000-08-23 AND d_date@1 <= 2000-09-22, projection=[d_date_sk@0]
                │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-08-23 AND d_date@2 <= 2000-09-22, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-08-23 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-09-22, required_guarantees=[]
                │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-08-23 AND d_date@2 <= 2000-09-22, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-08-23 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-09-22, required_guarantees=[]
                │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-08-23 AND d_date@2 <= 2000-09-22, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-08-23 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-09-22, required_guarantees=[]
                │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-08-23 AND d_date@2 <= 2000-09-22, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-08-23 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-09-22, required_guarantees=[]
                └──────────────────────────────────────────────────
            ┌───── Stage 19 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([wp_web_page_sk@0], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[wp_web_page_sk@2 as wp_web_page_sk], aggr=[sum(web_sales.ws_ext_sales_price), sum(web_sales.ws_net_profit)]
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(wp_web_page_sk@0, ws_web_page_sk@0)], projection=[ws_ext_sales_price@2, ws_net_profit@3, wp_web_page_sk@0]
            │       CoalescePartitionsExec
            │         [Stage 17] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ws_sold_date_sk@0)], projection=[ws_web_page_sk@2, ws_ext_sales_price@3, ws_net_profit@4]
            │         CoalescePartitionsExec
            │           [Stage 18] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │         DistributedLeafExec:
            │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_web_page_sk, ws_ext_sales_price, ws_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_web_page_sk, ws_ext_sales_price, ws_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_web_page_sk, ws_ext_sales_price, ws_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_web_page_sk, ws_ext_sales_price, ws_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 17 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_page/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_page/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_page/part-1.parquet:<int>..<int>]]}, projection=[wp_web_page_sk], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_page/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_page/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_page/part-2.parquet:<int>..<int>]]}, projection=[wp_web_page_sk], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_page/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_page/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_page/part-3.parquet:<int>..<int>]]}, projection=[wp_web_page_sk], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_page/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_page/part-3.parquet:<int>..<int>]]}, projection=[wp_web_page_sk], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 18 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_date@1 >= 2000-08-23 AND d_date@1 <= 2000-09-22, projection=[d_date_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-08-23 AND d_date@2 <= 2000-09-22, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-08-23 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-09-22, required_guarantees=[]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-08-23 AND d_date@2 <= 2000-09-22, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-08-23 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-09-22, required_guarantees=[]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-08-23 AND d_date@2 <= 2000-09-22, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-08-23 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-09-22, required_guarantees=[]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-08-23 AND d_date@2 <= 2000-09-22, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-08-23 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-09-22, required_guarantees=[]
              └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_78() -> Result<()> {
        let display = test_tpcds_query("q78").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [ss_sold_year@0 ASC NULLS LAST, ss_item_sk@1 ASC NULLS LAST, ss_customer_sk@2 ASC NULLS LAST, store_sales_price@6 DESC, other_chan_qty@7 ASC NULLS LAST, other_chan_wholesale_cost@8 ASC NULLS LAST, other_chan_sales_price@9 ASC NULLS LAST], fetch=100
        │   [Stage 12] => NetworkCoalesceExec: output_partitions=6, input_tasks=2
        └──────────────────────────────────────────────────
          ┌───── Stage 12 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ SortExec: TopK(fetch=100), expr=[ss_item_sk@1 ASC NULLS LAST, ss_customer_sk@2 ASC NULLS LAST, store_sales_price@6 DESC, other_chan_qty@7 ASC NULLS LAST, other_chan_wholesale_cost@8 ASC NULLS LAST, other_chan_sales_price@9 ASC NULLS LAST], preserve_partitioning=[true]
          │   ProjectionExec: expr=[ss_sold_year@5 as ss_sold_year, ss_item_sk@6 as ss_item_sk, ss_customer_sk@7 as ss_customer_sk, round(CAST(ss_qty@8 AS Float64) / CAST(__common_expr_1@0 AS Float64), 2) as ratio, ss_qty@8 as store_qty, ss_wc@9 as store_wholesale_cost, ss_sp@10 as store_sales_price, __common_expr_1@0 as other_chan_qty, CASE WHEN __common_expr_2@1 IS NOT NULL THEN __common_expr_2@1 ELSE Some(0),22,2 END + CASE WHEN __common_expr_3@2 IS NOT NULL THEN __common_expr_3@2 ELSE Some(0),22,2 END as other_chan_wholesale_cost, CASE WHEN __common_expr_4@3 IS NOT NULL THEN __common_expr_4@3 ELSE Some(0),22,2 END + CASE WHEN __common_expr_5@4 IS NOT NULL THEN __common_expr_5@4 ELSE Some(0),22,2 END as other_chan_sales_price]
          │     ProjectionExec: expr=[CASE WHEN ws_qty@6 IS NOT NULL THEN ws_qty@6 ELSE 0 END + CASE WHEN cs_qty@9 IS NOT NULL THEN cs_qty@9 ELSE 0 END as __common_expr_1, CAST(ws_wc@7 AS Decimal128(22, 2)) as __common_expr_2, CAST(cs_wc@10 AS Decimal128(22, 2)) as __common_expr_3, CAST(ws_sp@8 AS Decimal128(22, 2)) as __common_expr_4, CAST(cs_sp@11 AS Decimal128(22, 2)) as __common_expr_5, ss_sold_year@0 as ss_sold_year, ss_item_sk@1 as ss_item_sk, ss_customer_sk@2 as ss_customer_sk, ss_qty@3 as ss_qty, ss_wc@4 as ss_wc, ss_sp@5 as ss_sp]
          │       FilterExec: CASE WHEN ws_qty@6 IS NOT NULL THEN ws_qty@6 ELSE 0 END > 0 OR CASE WHEN cs_qty@9 IS NOT NULL THEN cs_qty@9 ELSE 0 END > 0
          │         HashJoinExec: mode=Partitioned, join_type=Right, on=[(cs_sold_year@0, ss_sold_year@0), (cs_item_sk@1, ss_item_sk@1), (cs_customer_sk@2, ss_customer_sk@2)], projection=[ss_sold_year@6, ss_item_sk@7, ss_customer_sk@8, ss_qty@9, ss_wc@10, ss_sp@11, ws_qty@12, ws_wc@13, ws_sp@14, cs_qty@3, cs_wc@4, cs_sp@5]
          │           ProjectionExec: expr=[d_year@0 as cs_sold_year, cs_item_sk@1 as cs_item_sk, cs_bill_customer_sk@2 as cs_customer_sk, sum(catalog_sales.cs_quantity)@3 as cs_qty, sum(catalog_sales.cs_wholesale_cost)@4 as cs_wc, sum(catalog_sales.cs_sales_price)@5 as cs_sp]
          │             AggregateExec: mode=FinalPartitioned, gby=[d_year@0 as d_year, cs_item_sk@1 as cs_item_sk, cs_bill_customer_sk@2 as cs_bill_customer_sk], aggr=[sum(catalog_sales.cs_quantity), sum(catalog_sales.cs_wholesale_cost), sum(catalog_sales.cs_sales_price)], ordering_mode=PartiallySorted([0])
          │               [Stage 4] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          │           HashJoinExec: mode=Partitioned, join_type=Right, on=[(ws_sold_year@0, ss_sold_year@0), (ws_item_sk@1, ss_item_sk@1), (ws_customer_sk@2, ss_customer_sk@2)], projection=[ss_sold_year@6, ss_item_sk@7, ss_customer_sk@8, ss_qty@9, ss_wc@10, ss_sp@11, ws_qty@3, ws_wc@4, ws_sp@5]
          │             ProjectionExec: expr=[d_year@0 as ws_sold_year, ws_item_sk@1 as ws_item_sk, ws_bill_customer_sk@2 as ws_customer_sk, sum(web_sales.ws_quantity)@3 as ws_qty, sum(web_sales.ws_wholesale_cost)@4 as ws_wc, sum(web_sales.ws_sales_price)@5 as ws_sp]
          │               AggregateExec: mode=FinalPartitioned, gby=[d_year@0 as d_year, ws_item_sk@1 as ws_item_sk, ws_bill_customer_sk@2 as ws_bill_customer_sk], aggr=[sum(web_sales.ws_quantity), sum(web_sales.ws_wholesale_cost), sum(web_sales.ws_sales_price)], ordering_mode=PartiallySorted([0])
          │                 [Stage 7] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          │             ProjectionExec: expr=[d_year@0 as ss_sold_year, ss_item_sk@1 as ss_item_sk, ss_customer_sk@2 as ss_customer_sk, sum(store_sales.ss_quantity)@3 as ss_qty, sum(store_sales.ss_wholesale_cost)@4 as ss_wc, sum(store_sales.ss_sales_price)@5 as ss_sp]
          │               AggregateExec: mode=FinalPartitioned, gby=[d_year@0 as d_year, ss_item_sk@1 as ss_item_sk, ss_customer_sk@2 as ss_customer_sk], aggr=[sum(store_sales.ss_quantity), sum(store_sales.ss_wholesale_cost), sum(store_sales.ss_sales_price)], ordering_mode=PartiallySorted([0])
          │                 [Stage 11] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 4 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([d_year@0, cs_item_sk@1, cs_bill_customer_sk@2], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[d_year@5 as d_year, cs_item_sk@1 as cs_item_sk, cs_bill_customer_sk@0 as cs_bill_customer_sk], aggr=[sum(catalog_sales.cs_quantity), sum(catalog_sales.cs_wholesale_cost), sum(catalog_sales.cs_sales_price)], ordering_mode=PartiallySorted([0])
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, cs_sold_date_sk@0)], projection=[cs_bill_customer_sk@3, cs_item_sk@4, cs_quantity@5, cs_wholesale_cost@6, cs_sales_price@7, d_year@1]
            │       CoalescePartitionsExec
            │         [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │       FilterExec: cr_order_number@6 IS NULL, projection=[cs_sold_date_sk@0, cs_bill_customer_sk@1, cs_item_sk@2, cs_quantity@3, cs_wholesale_cost@4, cs_sales_price@5]
            │         HashJoinExec: mode=Partitioned, join_type=Right, on=[(cr_order_number@1, cs_order_number@3), (cr_item_sk@0, cs_item_sk@2)], projection=[cs_sold_date_sk@2, cs_bill_customer_sk@3, cs_item_sk@4, cs_quantity@6, cs_wholesale_cost@7, cs_sales_price@8, cr_order_number@1]
            │           [Stage 2] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            │           [Stage 3] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            └──────────────────────────────────────────────────
              ┌───── Stage 1 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_year@1 = 2000
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2000, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1, required_guarantees=[d_year in (2000)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2000, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1, required_guarantees=[d_year in (2000)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2000, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1, required_guarantees=[d_year in (2000)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2000, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1, required_guarantees=[d_year in (2000)]
              └──────────────────────────────────────────────────
              ┌───── Stage 2 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
              │ RepartitionExec: partitioning=Hash([cr_order_number@1, cr_item_sk@0], 12), input_partitions=3
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>]]}, projection=[cr_item_sk, cr_order_number], file_type=parquet
              │     t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-3.parquet:<int>..<int>]]}, projection=[cr_item_sk, cr_order_number], file_type=parquet
              │     t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-3.parquet:<int>..<int>]]}, projection=[cr_item_sk, cr_order_number], file_type=parquet
              │     t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-3.parquet:<int>..<int>]]}, projection=[cr_item_sk, cr_order_number], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 3 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
              │ RepartitionExec: partitioning=Hash([cs_order_number@3, cs_item_sk@2], 12), input_partitions=3
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_bill_customer_sk, cs_item_sk, cs_order_number, cs_quantity, cs_wholesale_cost, cs_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_bill_customer_sk, cs_item_sk, cs_order_number, cs_quantity, cs_wholesale_cost, cs_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_bill_customer_sk, cs_item_sk, cs_order_number, cs_quantity, cs_wholesale_cost, cs_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_bill_customer_sk, cs_item_sk, cs_order_number, cs_quantity, cs_wholesale_cost, cs_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
            ┌───── Stage 7 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([d_year@0, ws_item_sk@1, ws_bill_customer_sk@2], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[d_year@5 as d_year, ws_item_sk@0 as ws_item_sk, ws_bill_customer_sk@1 as ws_bill_customer_sk], aggr=[sum(web_sales.ws_quantity), sum(web_sales.ws_wholesale_cost), sum(web_sales.ws_sales_price)], ordering_mode=PartiallySorted([0])
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ws_sold_date_sk@0)], projection=[ws_item_sk@3, ws_bill_customer_sk@4, ws_quantity@5, ws_wholesale_cost@6, ws_sales_price@7, d_year@1]
            │       CoalescePartitionsExec
            │         [Stage 5] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │       FilterExec: wr_order_number@6 IS NULL, projection=[ws_sold_date_sk@0, ws_item_sk@1, ws_bill_customer_sk@2, ws_quantity@3, ws_wholesale_cost@4, ws_sales_price@5]
            │         HashJoinExec: mode=CollectLeft, join_type=Right, on=[(wr_order_number@1, ws_order_number@3), (wr_item_sk@0, ws_item_sk@1)], projection=[ws_sold_date_sk@2, ws_item_sk@3, ws_bill_customer_sk@4, ws_quantity@6, ws_wholesale_cost@7, ws_sales_price@8, wr_order_number@1]
            │           CoalescePartitionsExec
            │             [Stage 6] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │           DistributedLeafExec:
            │             t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_bill_customer_sk, ws_order_number, ws_quantity, ws_wholesale_cost, ws_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ]
            │             t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_bill_customer_sk, ws_order_number, ws_quantity, ws_wholesale_cost, ws_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ]
            │             t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_bill_customer_sk, ws_order_number, ws_quantity, ws_wholesale_cost, ws_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ]
            │             t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_bill_customer_sk, ws_order_number, ws_quantity, ws_wholesale_cost, ws_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 5 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_year@1 = 2000
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2000, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1, required_guarantees=[d_year in (2000)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2000, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1, required_guarantees=[d_year in (2000)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2000, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1, required_guarantees=[d_year in (2000)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2000, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1, required_guarantees=[d_year in (2000)]
              └──────────────────────────────────────────────────
              ┌───── Stage 6 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_returns/part-2.parquet:<int>..<int>]]}, projection=[wr_item_sk, wr_order_number], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_returns/part-2.parquet:<int>..<int>]]}, projection=[wr_item_sk, wr_order_number], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_returns/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_returns/part-3.parquet:<int>..<int>]]}, projection=[wr_item_sk, wr_order_number], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_returns/part-3.parquet:<int>..<int>]]}, projection=[wr_item_sk, wr_order_number], file_type=parquet
              └──────────────────────────────────────────────────
            ┌───── Stage 11 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([d_year@0, ss_item_sk@1, ss_customer_sk@2], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[d_year@5 as d_year, ss_item_sk@0 as ss_item_sk, ss_customer_sk@1 as ss_customer_sk], aggr=[sum(store_sales.ss_quantity), sum(store_sales.ss_wholesale_cost), sum(store_sales.ss_sales_price)], ordering_mode=PartiallySorted([0])
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[ss_item_sk@3, ss_customer_sk@4, ss_quantity@5, ss_wholesale_cost@6, ss_sales_price@7, d_year@1]
            │       CoalescePartitionsExec
            │         [Stage 8] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │       FilterExec: sr_ticket_number@6 IS NULL, projection=[ss_sold_date_sk@0, ss_item_sk@1, ss_customer_sk@2, ss_quantity@3, ss_wholesale_cost@4, ss_sales_price@5]
            │         HashJoinExec: mode=Partitioned, join_type=Right, on=[(sr_ticket_number@1, ss_ticket_number@3), (sr_item_sk@0, ss_item_sk@1)], projection=[ss_sold_date_sk@2, ss_item_sk@3, ss_customer_sk@4, ss_quantity@6, ss_wholesale_cost@7, ss_sales_price@8, sr_ticket_number@1]
            │           [Stage 9] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            │           [Stage 10] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            └──────────────────────────────────────────────────
              ┌───── Stage 8 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_year@1 = 2000
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2000, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1, required_guarantees=[d_year in (2000)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2000, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1, required_guarantees=[d_year in (2000)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2000, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1, required_guarantees=[d_year in (2000)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2000, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1, required_guarantees=[d_year in (2000)]
              └──────────────────────────────────────────────────
              ┌───── Stage 9 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
              │ RepartitionExec: partitioning=Hash([sr_ticket_number@1, sr_item_sk@0], 12), input_partitions=3
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>]]}, projection=[sr_item_sk, sr_ticket_number], file_type=parquet
              │     t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-3.parquet:<int>..<int>]]}, projection=[sr_item_sk, sr_ticket_number], file_type=parquet
              │     t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-3.parquet:<int>..<int>]]}, projection=[sr_item_sk, sr_ticket_number], file_type=parquet
              │     t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-3.parquet:<int>..<int>]]}, projection=[sr_item_sk, sr_ticket_number], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 10 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
              │ RepartitionExec: partitioning=Hash([ss_ticket_number@3, ss_item_sk@1], 12), input_partitions=3
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_customer_sk, ss_ticket_number, ss_quantity, ss_wholesale_cost, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_customer_sk, ss_ticket_number, ss_quantity, ss_wholesale_cost, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_customer_sk, ss_ticket_number, ss_quantity, ss_wholesale_cost, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_customer_sk, ss_ticket_number, ss_quantity, ss_wholesale_cost, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_79() -> Result<()> {
        let display = test_tpcds_query("q79").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [c_last_name@0 ASC, c_first_name@1 ASC, substr(ms.s_city,Int64(1),Int64(30))@2 ASC, profit@5 ASC, ss_ticket_number@3 ASC NULLS LAST], fetch=100
        │   [Stage 6] => NetworkCoalesceExec: output_partitions=12, input_tasks=4
        └──────────────────────────────────────────────────
          ┌───── Stage 6 ── Tasks: t0:[p0..p2] t1:[p0..p2] t2:[p0..p2] t3:[p0..p2]
          │ SortExec: TopK(fetch=100), expr=[c_last_name@0 ASC, c_first_name@1 ASC, substr(ms.s_city,Int64(1),Int64(30))@2 ASC, profit@5 ASC, ss_ticket_number@3 ASC NULLS LAST], preserve_partitioning=[true]
          │   ProjectionExec: expr=[c_last_name@0 as c_last_name, c_first_name@1 as c_first_name, substr(s_city@2, 1, 30) as substr(ms.s_city,Int64(1),Int64(30)), ss_ticket_number@3 as ss_ticket_number, amt@4 as amt, profit@5 as profit]
          │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(c_customer_sk@0, ss_customer_sk@1)], projection=[c_last_name@2, c_first_name@1, s_city@5, ss_ticket_number@3, amt@6, profit@7]
          │       CoalescePartitionsExec
          │         [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
          │       ProjectionExec: expr=[ss_ticket_number@0 as ss_ticket_number, ss_customer_sk@1 as ss_customer_sk, s_city@3 as s_city, sum(store_sales.ss_coupon_amt)@4 as amt, sum(store_sales.ss_net_profit)@5 as profit]
          │         AggregateExec: mode=FinalPartitioned, gby=[ss_ticket_number@0 as ss_ticket_number, ss_customer_sk@1 as ss_customer_sk, ss_addr_sk@2 as ss_addr_sk, s_city@3 as s_city], aggr=[sum(store_sales.ss_coupon_amt), sum(store_sales.ss_net_profit)]
          │           [Stage 5] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 1 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
            │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
            │   DistributedLeafExec:
            │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_first_name, c_last_name], file_type=parquet
            │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_first_name, c_last_name], file_type=parquet
            │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_first_name, c_last_name], file_type=parquet
            │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_first_name, c_last_name], file_type=parquet
            └──────────────────────────────────────────────────
            ┌───── Stage 5 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
            │ RepartitionExec: partitioning=Hash([ss_ticket_number@0, ss_customer_sk@1, ss_addr_sk@2, s_city@3], 12), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[ss_ticket_number@2 as ss_ticket_number, ss_customer_sk@0 as ss_customer_sk, ss_addr_sk@1 as ss_addr_sk, s_city@5 as s_city], aggr=[sum(store_sales.ss_coupon_amt), sum(store_sales.ss_net_profit)]
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(hd_demo_sk@0, ss_hdemo_sk@1)], projection=[ss_customer_sk@1, ss_addr_sk@3, ss_ticket_number@4, ss_coupon_amt@5, ss_net_profit@6, s_city@7]
            │       CoalescePartitionsExec
            │         [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(s_store_sk@0, ss_store_sk@3)], projection=[ss_customer_sk@2, ss_hdemo_sk@3, ss_addr_sk@4, ss_ticket_number@6, ss_coupon_amt@7, ss_net_profit@8, s_city@1]
            │         CoalescePartitionsExec
            │           [Stage 3] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[ss_customer_sk@2, ss_hdemo_sk@3, ss_addr_sk@4, ss_store_sk@5, ss_ticket_number@6, ss_coupon_amt@7, ss_net_profit@8]
            │           CoalescePartitionsExec
            │             [Stage 4] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │           DistributedLeafExec:
            │             t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_customer_sk, ss_hdemo_sk, ss_addr_sk, ss_store_sk, ss_ticket_number, ss_coupon_amt, ss_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_customer_sk, ss_hdemo_sk, ss_addr_sk, ss_store_sk, ss_ticket_number, ss_coupon_amt, ss_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_customer_sk, ss_hdemo_sk, ss_addr_sk, ss_store_sk, ss_ticket_number, ss_coupon_amt, ss_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_customer_sk, ss_hdemo_sk, ss_addr_sk, ss_store_sk, ss_ticket_number, ss_coupon_amt, ss_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 2 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: hd_dep_count@1 = 6 OR hd_vehicle_count@2 > 2, projection=[hd_demo_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_dep_count, hd_vehicle_count], file_type=parquet, predicate=hd_dep_count@3 = 6 OR hd_vehicle_count@4 > 2, pruning_predicate=hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 6 AND 6 <= hd_dep_count_max@1 OR hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_max@4 > 2, required_guarantees=[]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_dep_count, hd_vehicle_count], file_type=parquet, predicate=hd_dep_count@3 = 6 OR hd_vehicle_count@4 > 2, pruning_predicate=hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 6 AND 6 <= hd_dep_count_max@1 OR hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_max@4 > 2, required_guarantees=[]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_dep_count, hd_vehicle_count], file_type=parquet, predicate=hd_dep_count@3 = 6 OR hd_vehicle_count@4 > 2, pruning_predicate=hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 6 AND 6 <= hd_dep_count_max@1 OR hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_max@4 > 2, required_guarantees=[]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-3.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_dep_count, hd_vehicle_count], file_type=parquet, predicate=hd_dep_count@3 = 6 OR hd_vehicle_count@4 > 2, pruning_predicate=hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 6 AND 6 <= hd_dep_count_max@1 OR hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_max@4 > 2, required_guarantees=[]
              └──────────────────────────────────────────────────
              ┌───── Stage 3 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: s_number_employees@1 >= 200 AND s_number_employees@1 <= 295, projection=[s_store_sk@0, s_city@2]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>]]}, projection=[s_store_sk, s_number_employees, s_city], file_type=parquet, predicate=s_number_employees@6 >= 200 AND s_number_employees@6 <= 295, pruning_predicate=s_number_employees_null_count@1 != row_count@2 AND s_number_employees_max@0 >= 200 AND s_number_employees_null_count@1 != row_count@2 AND s_number_employees_min@3 <= 295, required_guarantees=[]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>]]}, projection=[s_store_sk, s_number_employees, s_city], file_type=parquet, predicate=s_number_employees@6 >= 200 AND s_number_employees@6 <= 295, pruning_predicate=s_number_employees_null_count@1 != row_count@2 AND s_number_employees_max@0 >= 200 AND s_number_employees_null_count@1 != row_count@2 AND s_number_employees_min@3 <= 295, required_guarantees=[]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_number_employees, s_city], file_type=parquet, predicate=s_number_employees@6 >= 200 AND s_number_employees@6 <= 295, pruning_predicate=s_number_employees_null_count@1 != row_count@2 AND s_number_employees_max@0 >= 200 AND s_number_employees_null_count@1 != row_count@2 AND s_number_employees_min@3 <= 295, required_guarantees=[]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_number_employees, s_city], file_type=parquet, predicate=s_number_employees@6 >= 200 AND s_number_employees@6 <= 295, pruning_predicate=s_number_employees_null_count@1 != row_count@2 AND s_number_employees_max@0 >= 200 AND s_number_employees_null_count@1 != row_count@2 AND s_number_employees_min@3 <= 295, required_guarantees=[]
              └──────────────────────────────────────────────────
              ┌───── Stage 4 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_dow@2 = 1 AND (d_year@1 = 1999 OR d_year@1 = 2000 OR d_year@1 = 2001), projection=[d_date_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_dow], file_type=parquet, predicate=d_dow@7 = 1 AND (d_year@6 = 1999 OR d_year@6 = 2000 OR d_year@6 = 2001), pruning_predicate=d_dow_null_count@2 != row_count@3 AND d_dow_min@0 <= 1 AND 1 <= d_dow_max@1 AND (d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 1999 AND 1999 <= d_year_max@5 OR d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 2000 AND 2000 <= d_year_max@5 OR d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 2001 AND 2001 <= d_year_max@5), required_guarantees=[d_dow in (1), d_year in (1999, 2000, 2001)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_dow], file_type=parquet, predicate=d_dow@7 = 1 AND (d_year@6 = 1999 OR d_year@6 = 2000 OR d_year@6 = 2001), pruning_predicate=d_dow_null_count@2 != row_count@3 AND d_dow_min@0 <= 1 AND 1 <= d_dow_max@1 AND (d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 1999 AND 1999 <= d_year_max@5 OR d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 2000 AND 2000 <= d_year_max@5 OR d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 2001 AND 2001 <= d_year_max@5), required_guarantees=[d_dow in (1), d_year in (1999, 2000, 2001)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_dow], file_type=parquet, predicate=d_dow@7 = 1 AND (d_year@6 = 1999 OR d_year@6 = 2000 OR d_year@6 = 2001), pruning_predicate=d_dow_null_count@2 != row_count@3 AND d_dow_min@0 <= 1 AND 1 <= d_dow_max@1 AND (d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 1999 AND 1999 <= d_year_max@5 OR d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 2000 AND 2000 <= d_year_max@5 OR d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 2001 AND 2001 <= d_year_max@5), required_guarantees=[d_dow in (1), d_year in (1999, 2000, 2001)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_dow], file_type=parquet, predicate=d_dow@7 = 1 AND (d_year@6 = 1999 OR d_year@6 = 2000 OR d_year@6 = 2001), pruning_predicate=d_dow_null_count@2 != row_count@3 AND d_dow_min@0 <= 1 AND 1 <= d_dow_max@1 AND (d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 1999 AND 1999 <= d_year_max@5 OR d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 2000 AND 2000 <= d_year_max@5 OR d_year_null_count@6 != row_count@3 AND d_year_min@4 <= 2001 AND 2001 <= d_year_max@5), required_guarantees=[d_dow in (1), d_year in (1999, 2000, 2001)]
              └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_80() -> Result<()> {
        let display = test_tpcds_query("q80").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [channel@0 ASC, id@1 ASC], fetch=100
        │   SortExec: TopK(fetch=100), expr=[channel@0 ASC, id@1 ASC], preserve_partitioning=[true]
        │     ProjectionExec: expr=[channel@0 as channel, id@1 as id, sum(x.sales)@3 as sales, sum(x.returns_)@4 as returns_, sum(x.profit)@5 as profit]
        │       AggregateExec: mode=FinalPartitioned, gby=[channel@0 as channel, id@1 as id, __grouping_id@2 as __grouping_id], aggr=[sum(x.sales), sum(x.returns_), sum(x.profit)]
        │         [Stage 22] => NetworkShuffleExec: output_partitions=3, input_tasks=4
        └──────────────────────────────────────────────────
          ┌───── Stage 22 ── Tasks: t0:[p0..p2] t1:[p0..p2] t2:[p0..p2] t3:[p0..p2]
          │ RepartitionExec: partitioning=Hash([channel@0, id@1, __grouping_id@2], 3), input_partitions=3
          │   AggregateExec: mode=Partial, gby=[(NULL as channel, NULL as id), (channel@0 as channel, NULL as id), (channel@0 as channel, id@1 as id)], aggr=[sum(x.sales), sum(x.returns_), sum(x.profit)]
          │     DistributedUnionExec: t0:[c0(0/2)] t1:[c0(1/2)] t2:[c1] t3:[c2]
          │       ProjectionExec: expr=[store channel as channel, concat(store, s_store_id@0) as id, sum(store_sales.ss_ext_sales_price)@1 as sales, sum(coalesce(store_returns.sr_return_amt,Int64(0)))@2 as returns_, sum(store_sales.ss_net_profit - coalesce(store_returns.sr_net_loss,Int64(0)))@3 as profit]
          │         AggregateExec: mode=FinalPartitioned, gby=[s_store_id@0 as s_store_id], aggr=[sum(store_sales.ss_ext_sales_price), sum(CASE WHEN __common_expr_1 IS NOT NULL THEN __common_expr_1 ELSE Some(0),22,2 END) as sum(coalesce(store_returns.sr_return_amt,Int64(0))), sum(store_sales.ss_net_profit - CASE WHEN __common_expr_2 IS NOT NULL THEN __common_expr_2 ELSE Some(0),22,2 END) as sum(store_sales.ss_net_profit - coalesce(store_returns.sr_net_loss,Int64(0)))]
          │           [Stage 7] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          │       ProjectionExec: expr=[catalog channel as channel, concat(catalog_page, cp_catalog_page_id@0) as id, sum(catalog_sales.cs_ext_sales_price)@1 as sales, sum(coalesce(catalog_returns.cr_return_amount,Int64(0)))@2 as returns_, sum(catalog_sales.cs_net_profit - coalesce(catalog_returns.cr_net_loss,Int64(0)))@3 as profit]
          │         AggregateExec: mode=FinalPartitioned, gby=[cp_catalog_page_id@0 as cp_catalog_page_id], aggr=[sum(catalog_sales.cs_ext_sales_price), sum(CASE WHEN __common_expr_3 IS NOT NULL THEN __common_expr_3 ELSE Some(0),22,2 END) as sum(coalesce(catalog_returns.cr_return_amount,Int64(0))), sum(catalog_sales.cs_net_profit - CASE WHEN __common_expr_4 IS NOT NULL THEN __common_expr_4 ELSE Some(0),22,2 END) as sum(catalog_sales.cs_net_profit - coalesce(catalog_returns.cr_net_loss,Int64(0)))]
          │           [Stage 14] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          │       ProjectionExec: expr=[web channel as channel, concat(web_site, web_site_id@0) as id, sum(web_sales.ws_ext_sales_price)@1 as sales, sum(coalesce(web_returns.wr_return_amt,Int64(0)))@2 as returns_, sum(web_sales.ws_net_profit - coalesce(web_returns.wr_net_loss,Int64(0)))@3 as profit]
          │         AggregateExec: mode=FinalPartitioned, gby=[web_site_id@0 as web_site_id], aggr=[sum(web_sales.ws_ext_sales_price), sum(CASE WHEN __common_expr_5 IS NOT NULL THEN __common_expr_5 ELSE Some(0),22,2 END) as sum(coalesce(web_returns.wr_return_amt,Int64(0))), sum(web_sales.ws_net_profit - CASE WHEN __common_expr_6 IS NOT NULL THEN __common_expr_6 ELSE Some(0),22,2 END) as sum(web_sales.ws_net_profit - coalesce(web_returns.wr_net_loss,Int64(0)))]
          │           [Stage 21] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 7 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([s_store_id@0], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[s_store_id@4 as s_store_id], aggr=[sum(store_sales.ss_ext_sales_price), sum(CASE WHEN __common_expr_1 IS NOT NULL THEN __common_expr_1 ELSE Some(0),22,2 END) as sum(coalesce(store_returns.sr_return_amt,Int64(0))), sum(store_sales.ss_net_profit - CASE WHEN __common_expr_2 IS NOT NULL THEN __common_expr_2 ELSE Some(0),22,2 END) as sum(store_sales.ss_net_profit - coalesce(store_returns.sr_net_loss,Int64(0)))]
            │     ProjectionExec: expr=[CAST(sr_return_amt@0 AS Decimal128(22, 2)) as __common_expr_1, CAST(sr_net_loss@1 AS Decimal128(22, 2)) as __common_expr_2, ss_ext_sales_price@2 as ss_ext_sales_price, ss_net_profit@3 as ss_net_profit, s_store_id@4 as s_store_id]
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(p_promo_sk@0, ss_promo_sk@0)], projection=[sr_return_amt@4, sr_net_loss@5, ss_ext_sales_price@2, ss_net_profit@3, s_store_id@6]
            │         CoalescePartitionsExec
            │           [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, ss_item_sk@0)], projection=[ss_promo_sk@2, ss_ext_sales_price@3, ss_net_profit@4, sr_return_amt@5, sr_net_loss@6, s_store_id@7]
            │           CoalescePartitionsExec
            │             [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │           HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(s_store_sk@0, ss_store_sk@1)], projection=[ss_item_sk@2, ss_promo_sk@4, ss_ext_sales_price@5, ss_net_profit@6, sr_return_amt@7, sr_net_loss@8, s_store_id@1]
            │             CoalescePartitionsExec
            │               [Stage 3] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │             HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[ss_item_sk@2, ss_store_sk@3, ss_promo_sk@4, ss_ext_sales_price@5, ss_net_profit@6, sr_return_amt@7, sr_net_loss@8]
            │               CoalescePartitionsExec
            │                 [Stage 4] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │               HashJoinExec: mode=Partitioned, join_type=Right, on=[(sr_item_sk@0, ss_item_sk@1), (sr_ticket_number@1, ss_ticket_number@4)], projection=[ss_sold_date_sk@4, ss_item_sk@5, ss_store_sk@6, ss_promo_sk@7, ss_ext_sales_price@9, ss_net_profit@10, sr_return_amt@2, sr_net_loss@3]
            │                 [Stage 5] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            │                 [Stage 6] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            └──────────────────────────────────────────────────
              ┌───── Stage 1 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: p_channel_tv@1 = N, projection=[p_promo_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/promotion/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/promotion/part-0.parquet:<int>..<int>]]}, projection=[p_promo_sk, p_channel_tv], file_type=parquet, predicate=p_channel_tv@11 = N, pruning_predicate=p_channel_tv_null_count@2 != row_count@3 AND p_channel_tv_min@0 <= N AND N <= p_channel_tv_max@1, required_guarantees=[p_channel_tv in (N)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/promotion/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/promotion/part-0.parquet:<int>..<int>]]}, projection=[p_promo_sk, p_channel_tv], file_type=parquet, predicate=p_channel_tv@11 = N, pruning_predicate=p_channel_tv_null_count@2 != row_count@3 AND p_channel_tv_min@0 <= N AND N <= p_channel_tv_max@1, required_guarantees=[p_channel_tv in (N)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/promotion/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/promotion/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/promotion/part-1.parquet:<int>..<int>]]}, projection=[p_promo_sk, p_channel_tv], file_type=parquet, predicate=p_channel_tv@11 = N, pruning_predicate=p_channel_tv_null_count@2 != row_count@3 AND p_channel_tv_min@0 <= N AND N <= p_channel_tv_max@1, required_guarantees=[p_channel_tv in (N)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/promotion/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/promotion/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/promotion/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/promotion/part-3.parquet:<int>..<int>]]}, projection=[p_promo_sk, p_channel_tv], file_type=parquet, predicate=p_channel_tv@11 = N, pruning_predicate=p_channel_tv_null_count@2 != row_count@3 AND p_channel_tv_min@0 <= N AND N <= p_channel_tv_max@1, required_guarantees=[p_channel_tv in (N)]
              └──────────────────────────────────────────────────
              ┌───── Stage 2 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: i_current_price@1 > Some(5000),7,2, projection=[i_item_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_current_price], file_type=parquet, predicate=i_current_price@5 > Some(5000),7,2, pruning_predicate=i_current_price_null_count@1 != row_count@2 AND i_current_price_max@0 > Some(5000),7,2, required_guarantees=[]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_current_price], file_type=parquet, predicate=i_current_price@5 > Some(5000),7,2, pruning_predicate=i_current_price_null_count@1 != row_count@2 AND i_current_price_max@0 > Some(5000),7,2, required_guarantees=[]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_current_price], file_type=parquet, predicate=i_current_price@5 > Some(5000),7,2, pruning_predicate=i_current_price_null_count@1 != row_count@2 AND i_current_price_max@0 > Some(5000),7,2, required_guarantees=[]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_current_price], file_type=parquet, predicate=i_current_price@5 > Some(5000),7,2, pruning_predicate=i_current_price_null_count@1 != row_count@2 AND i_current_price_max@0 > Some(5000),7,2, required_guarantees=[]
              └──────────────────────────────────────────────────
              ┌───── Stage 3 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_id], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_id], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_id], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_id], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 4 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_date@1 >= 2000-08-23 AND d_date@1 <= 2000-09-22, projection=[d_date_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-08-23 AND d_date@2 <= 2000-09-22, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-08-23 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-09-22, required_guarantees=[]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-08-23 AND d_date@2 <= 2000-09-22, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-08-23 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-09-22, required_guarantees=[]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-08-23 AND d_date@2 <= 2000-09-22, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-08-23 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-09-22, required_guarantees=[]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-08-23 AND d_date@2 <= 2000-09-22, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-08-23 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-09-22, required_guarantees=[]
              └──────────────────────────────────────────────────
              ┌───── Stage 5 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
              │ RepartitionExec: partitioning=Hash([sr_item_sk@0, sr_ticket_number@1], 12), input_partitions=3
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>]]}, projection=[sr_item_sk, sr_ticket_number, sr_return_amt, sr_net_loss], file_type=parquet
              │     t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-3.parquet:<int>..<int>]]}, projection=[sr_item_sk, sr_ticket_number, sr_return_amt, sr_net_loss], file_type=parquet
              │     t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-3.parquet:<int>..<int>]]}, projection=[sr_item_sk, sr_ticket_number, sr_return_amt, sr_net_loss], file_type=parquet
              │     t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-3.parquet:<int>..<int>]]}, projection=[sr_item_sk, sr_ticket_number, sr_return_amt, sr_net_loss], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 6 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
              │ RepartitionExec: partitioning=Hash([ss_item_sk@1, ss_ticket_number@4], 12), input_partitions=3
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_store_sk, ss_promo_sk, ss_ticket_number, ss_ext_sales_price, ss_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │     t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_store_sk, ss_promo_sk, ss_ticket_number, ss_ext_sales_price, ss_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │     t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_store_sk, ss_promo_sk, ss_ticket_number, ss_ext_sales_price, ss_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │     t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_store_sk, ss_promo_sk, ss_ticket_number, ss_ext_sales_price, ss_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
            ┌───── Stage 14 ── Tasks: t0:[p0..p2] t1:[p0..p2] t2:[p0..p2] t3:[p0..p2]
            │ RepartitionExec: partitioning=Hash([cp_catalog_page_id@0], 3), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[cp_catalog_page_id@4 as cp_catalog_page_id], aggr=[sum(catalog_sales.cs_ext_sales_price), sum(CASE WHEN __common_expr_3 IS NOT NULL THEN __common_expr_3 ELSE Some(0),22,2 END) as sum(coalesce(catalog_returns.cr_return_amount,Int64(0))), sum(catalog_sales.cs_net_profit - CASE WHEN __common_expr_4 IS NOT NULL THEN __common_expr_4 ELSE Some(0),22,2 END) as sum(catalog_sales.cs_net_profit - coalesce(catalog_returns.cr_net_loss,Int64(0)))]
            │     ProjectionExec: expr=[CAST(cr_return_amount@0 AS Decimal128(22, 2)) as __common_expr_3, CAST(cr_net_loss@1 AS Decimal128(22, 2)) as __common_expr_4, cs_ext_sales_price@2 as cs_ext_sales_price, cs_net_profit@3 as cs_net_profit, cp_catalog_page_id@4 as cp_catalog_page_id]
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(p_promo_sk@0, cs_promo_sk@0)], projection=[cr_return_amount@4, cr_net_loss@5, cs_ext_sales_price@2, cs_net_profit@3, cp_catalog_page_id@6]
            │         CoalescePartitionsExec
            │           [Stage 8] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, cs_item_sk@0)], projection=[cs_promo_sk@2, cs_ext_sales_price@3, cs_net_profit@4, cr_return_amount@5, cr_net_loss@6, cp_catalog_page_id@7]
            │           CoalescePartitionsExec
            │             [Stage 9] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │           HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(cp_catalog_page_sk@0, cs_catalog_page_sk@0)], projection=[cs_item_sk@3, cs_promo_sk@4, cs_ext_sales_price@5, cs_net_profit@6, cr_return_amount@7, cr_net_loss@8, cp_catalog_page_id@1]
            │             CoalescePartitionsExec
            │               [Stage 10] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │             HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, cs_sold_date_sk@0)], projection=[cs_catalog_page_sk@2, cs_item_sk@3, cs_promo_sk@4, cs_ext_sales_price@5, cs_net_profit@6, cr_return_amount@7, cr_net_loss@8]
            │               CoalescePartitionsExec
            │                 [Stage 11] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │               HashJoinExec: mode=Partitioned, join_type=Right, on=[(cr_item_sk@0, cs_item_sk@2), (cr_order_number@1, cs_order_number@4)], projection=[cs_sold_date_sk@4, cs_catalog_page_sk@5, cs_item_sk@6, cs_promo_sk@7, cs_ext_sales_price@9, cs_net_profit@10, cr_return_amount@2, cr_net_loss@3]
            │                 [Stage 12] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            │                 [Stage 13] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            └──────────────────────────────────────────────────
              ┌───── Stage 8 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: p_channel_tv@1 = N, projection=[p_promo_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/promotion/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/promotion/part-0.parquet:<int>..<int>]]}, projection=[p_promo_sk, p_channel_tv], file_type=parquet, predicate=p_channel_tv@11 = N, pruning_predicate=p_channel_tv_null_count@2 != row_count@3 AND p_channel_tv_min@0 <= N AND N <= p_channel_tv_max@1, required_guarantees=[p_channel_tv in (N)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/promotion/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/promotion/part-0.parquet:<int>..<int>]]}, projection=[p_promo_sk, p_channel_tv], file_type=parquet, predicate=p_channel_tv@11 = N, pruning_predicate=p_channel_tv_null_count@2 != row_count@3 AND p_channel_tv_min@0 <= N AND N <= p_channel_tv_max@1, required_guarantees=[p_channel_tv in (N)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/promotion/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/promotion/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/promotion/part-1.parquet:<int>..<int>]]}, projection=[p_promo_sk, p_channel_tv], file_type=parquet, predicate=p_channel_tv@11 = N, pruning_predicate=p_channel_tv_null_count@2 != row_count@3 AND p_channel_tv_min@0 <= N AND N <= p_channel_tv_max@1, required_guarantees=[p_channel_tv in (N)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/promotion/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/promotion/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/promotion/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/promotion/part-3.parquet:<int>..<int>]]}, projection=[p_promo_sk, p_channel_tv], file_type=parquet, predicate=p_channel_tv@11 = N, pruning_predicate=p_channel_tv_null_count@2 != row_count@3 AND p_channel_tv_min@0 <= N AND N <= p_channel_tv_max@1, required_guarantees=[p_channel_tv in (N)]
              └──────────────────────────────────────────────────
              ┌───── Stage 9 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: i_current_price@1 > Some(5000),7,2, projection=[i_item_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_current_price], file_type=parquet, predicate=i_current_price@5 > Some(5000),7,2, pruning_predicate=i_current_price_null_count@1 != row_count@2 AND i_current_price_max@0 > Some(5000),7,2, required_guarantees=[]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_current_price], file_type=parquet, predicate=i_current_price@5 > Some(5000),7,2, pruning_predicate=i_current_price_null_count@1 != row_count@2 AND i_current_price_max@0 > Some(5000),7,2, required_guarantees=[]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_current_price], file_type=parquet, predicate=i_current_price@5 > Some(5000),7,2, pruning_predicate=i_current_price_null_count@1 != row_count@2 AND i_current_price_max@0 > Some(5000),7,2, required_guarantees=[]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_current_price], file_type=parquet, predicate=i_current_price@5 > Some(5000),7,2, pruning_predicate=i_current_price_null_count@1 != row_count@2 AND i_current_price_max@0 > Some(5000),7,2, required_guarantees=[]
              └──────────────────────────────────────────────────
              ┌───── Stage 10 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_page/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_page/part-0.parquet:<int>..<int>]]}, projection=[cp_catalog_page_sk, cp_catalog_page_id], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_page/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_page/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_page/part-1.parquet:<int>..<int>]]}, projection=[cp_catalog_page_sk, cp_catalog_page_id], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_page/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_page/part-1.parquet:<int>..<int>]]}, projection=[cp_catalog_page_sk, cp_catalog_page_id], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_page/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_page/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_page/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_page/part-3.parquet:<int>..<int>]]}, projection=[cp_catalog_page_sk, cp_catalog_page_id], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 11 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_date@1 >= 2000-08-23 AND d_date@1 <= 2000-09-22, projection=[d_date_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-08-23 AND d_date@2 <= 2000-09-22, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-08-23 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-09-22, required_guarantees=[]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-08-23 AND d_date@2 <= 2000-09-22, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-08-23 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-09-22, required_guarantees=[]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-08-23 AND d_date@2 <= 2000-09-22, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-08-23 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-09-22, required_guarantees=[]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-08-23 AND d_date@2 <= 2000-09-22, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-08-23 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-09-22, required_guarantees=[]
              └──────────────────────────────────────────────────
              ┌───── Stage 12 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
              │ RepartitionExec: partitioning=Hash([cr_item_sk@0, cr_order_number@1], 12), input_partitions=3
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>]]}, projection=[cr_item_sk, cr_order_number, cr_return_amount, cr_net_loss], file_type=parquet
              │     t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-3.parquet:<int>..<int>]]}, projection=[cr_item_sk, cr_order_number, cr_return_amount, cr_net_loss], file_type=parquet
              │     t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-3.parquet:<int>..<int>]]}, projection=[cr_item_sk, cr_order_number, cr_return_amount, cr_net_loss], file_type=parquet
              │     t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-3.parquet:<int>..<int>]]}, projection=[cr_item_sk, cr_order_number, cr_return_amount, cr_net_loss], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 13 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
              │ RepartitionExec: partitioning=Hash([cs_item_sk@2, cs_order_number@4], 12), input_partitions=3
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_catalog_page_sk, cs_item_sk, cs_promo_sk, cs_order_number, cs_ext_sales_price, cs_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │     t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_catalog_page_sk, cs_item_sk, cs_promo_sk, cs_order_number, cs_ext_sales_price, cs_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │     t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_catalog_page_sk, cs_item_sk, cs_promo_sk, cs_order_number, cs_ext_sales_price, cs_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │     t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_catalog_page_sk, cs_item_sk, cs_promo_sk, cs_order_number, cs_ext_sales_price, cs_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
            ┌───── Stage 21 ── Tasks: t0:[p0..p2] t1:[p0..p2] t2:[p0..p2] t3:[p0..p2]
            │ RepartitionExec: partitioning=Hash([web_site_id@0], 3), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[web_site_id@4 as web_site_id], aggr=[sum(web_sales.ws_ext_sales_price), sum(CASE WHEN __common_expr_5 IS NOT NULL THEN __common_expr_5 ELSE Some(0),22,2 END) as sum(coalesce(web_returns.wr_return_amt,Int64(0))), sum(web_sales.ws_net_profit - CASE WHEN __common_expr_6 IS NOT NULL THEN __common_expr_6 ELSE Some(0),22,2 END) as sum(web_sales.ws_net_profit - coalesce(web_returns.wr_net_loss,Int64(0)))]
            │     ProjectionExec: expr=[CAST(wr_return_amt@0 AS Decimal128(22, 2)) as __common_expr_5, CAST(wr_net_loss@1 AS Decimal128(22, 2)) as __common_expr_6, ws_ext_sales_price@2 as ws_ext_sales_price, ws_net_profit@3 as ws_net_profit, web_site_id@4 as web_site_id]
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(p_promo_sk@0, ws_promo_sk@0)], projection=[wr_return_amt@4, wr_net_loss@5, ws_ext_sales_price@2, ws_net_profit@3, web_site_id@6]
            │         CoalescePartitionsExec
            │           [Stage 15] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, ws_item_sk@0)], projection=[ws_promo_sk@2, ws_ext_sales_price@3, ws_net_profit@4, wr_return_amt@5, wr_net_loss@6, web_site_id@7]
            │           CoalescePartitionsExec
            │             [Stage 16] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │           HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(web_site_sk@0, ws_web_site_sk@1)], projection=[ws_item_sk@2, ws_promo_sk@4, ws_ext_sales_price@5, ws_net_profit@6, wr_return_amt@7, wr_net_loss@8, web_site_id@1]
            │             CoalescePartitionsExec
            │               [Stage 17] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │             HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ws_sold_date_sk@0)], projection=[ws_item_sk@2, ws_web_site_sk@3, ws_promo_sk@4, ws_ext_sales_price@5, ws_net_profit@6, wr_return_amt@7, wr_net_loss@8]
            │               CoalescePartitionsExec
            │                 [Stage 18] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │               HashJoinExec: mode=Partitioned, join_type=Right, on=[(wr_item_sk@0, ws_item_sk@1), (wr_order_number@1, ws_order_number@4)], projection=[ws_sold_date_sk@4, ws_item_sk@5, ws_web_site_sk@6, ws_promo_sk@7, ws_ext_sales_price@9, ws_net_profit@10, wr_return_amt@2, wr_net_loss@3]
            │                 [Stage 19] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            │                 [Stage 20] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            └──────────────────────────────────────────────────
              ┌───── Stage 15 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: p_channel_tv@1 = N, projection=[p_promo_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/promotion/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/promotion/part-0.parquet:<int>..<int>]]}, projection=[p_promo_sk, p_channel_tv], file_type=parquet, predicate=p_channel_tv@11 = N, pruning_predicate=p_channel_tv_null_count@2 != row_count@3 AND p_channel_tv_min@0 <= N AND N <= p_channel_tv_max@1, required_guarantees=[p_channel_tv in (N)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/promotion/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/promotion/part-0.parquet:<int>..<int>]]}, projection=[p_promo_sk, p_channel_tv], file_type=parquet, predicate=p_channel_tv@11 = N, pruning_predicate=p_channel_tv_null_count@2 != row_count@3 AND p_channel_tv_min@0 <= N AND N <= p_channel_tv_max@1, required_guarantees=[p_channel_tv in (N)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/promotion/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/promotion/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/promotion/part-1.parquet:<int>..<int>]]}, projection=[p_promo_sk, p_channel_tv], file_type=parquet, predicate=p_channel_tv@11 = N, pruning_predicate=p_channel_tv_null_count@2 != row_count@3 AND p_channel_tv_min@0 <= N AND N <= p_channel_tv_max@1, required_guarantees=[p_channel_tv in (N)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/promotion/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/promotion/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/promotion/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/promotion/part-3.parquet:<int>..<int>]]}, projection=[p_promo_sk, p_channel_tv], file_type=parquet, predicate=p_channel_tv@11 = N, pruning_predicate=p_channel_tv_null_count@2 != row_count@3 AND p_channel_tv_min@0 <= N AND N <= p_channel_tv_max@1, required_guarantees=[p_channel_tv in (N)]
              └──────────────────────────────────────────────────
              ┌───── Stage 16 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: i_current_price@1 > Some(5000),7,2, projection=[i_item_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_current_price], file_type=parquet, predicate=i_current_price@5 > Some(5000),7,2, pruning_predicate=i_current_price_null_count@1 != row_count@2 AND i_current_price_max@0 > Some(5000),7,2, required_guarantees=[]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_current_price], file_type=parquet, predicate=i_current_price@5 > Some(5000),7,2, pruning_predicate=i_current_price_null_count@1 != row_count@2 AND i_current_price_max@0 > Some(5000),7,2, required_guarantees=[]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_current_price], file_type=parquet, predicate=i_current_price@5 > Some(5000),7,2, pruning_predicate=i_current_price_null_count@1 != row_count@2 AND i_current_price_max@0 > Some(5000),7,2, required_guarantees=[]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_current_price], file_type=parquet, predicate=i_current_price@5 > Some(5000),7,2, pruning_predicate=i_current_price_null_count@1 != row_count@2 AND i_current_price_max@0 > Some(5000),7,2, required_guarantees=[]
              └──────────────────────────────────────────────────
              ┌───── Stage 17 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_site/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_site/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_site/part-1.parquet:<int>..<int>]]}, projection=[web_site_sk, web_site_id], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_site/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_site/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_site/part-2.parquet:<int>..<int>]]}, projection=[web_site_sk, web_site_id], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_site/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_site/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_site/part-3.parquet:<int>..<int>]]}, projection=[web_site_sk, web_site_id], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_site/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_site/part-3.parquet:<int>..<int>]]}, projection=[web_site_sk, web_site_id], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 18 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_date@1 >= 2000-08-23 AND d_date@1 <= 2000-09-22, projection=[d_date_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-08-23 AND d_date@2 <= 2000-09-22, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-08-23 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-09-22, required_guarantees=[]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-08-23 AND d_date@2 <= 2000-09-22, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-08-23 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-09-22, required_guarantees=[]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-08-23 AND d_date@2 <= 2000-09-22, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-08-23 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-09-22, required_guarantees=[]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-08-23 AND d_date@2 <= 2000-09-22, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-08-23 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-09-22, required_guarantees=[]
              └──────────────────────────────────────────────────
              ┌───── Stage 19 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
              │ RepartitionExec: partitioning=Hash([wr_item_sk@0, wr_order_number@1], 12), input_partitions=2
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_returns/part-2.parquet:<int>..<int>]]}, projection=[wr_item_sk, wr_order_number, wr_return_amt, wr_net_loss], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_returns/part-2.parquet:<int>..<int>]]}, projection=[wr_item_sk, wr_order_number, wr_return_amt, wr_net_loss], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_returns/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_returns/part-3.parquet:<int>..<int>]]}, projection=[wr_item_sk, wr_order_number, wr_return_amt, wr_net_loss], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_returns/part-3.parquet:<int>..<int>]]}, projection=[wr_item_sk, wr_order_number, wr_return_amt, wr_net_loss], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 20 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
              │ RepartitionExec: partitioning=Hash([ws_item_sk@1, ws_order_number@4], 12), input_partitions=3
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_web_site_sk, ws_promo_sk, ws_order_number, ws_ext_sales_price, ws_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │     t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_web_site_sk, ws_promo_sk, ws_order_number, ws_ext_sales_price, ws_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │     t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_web_site_sk, ws_promo_sk, ws_order_number, ws_ext_sales_price, ws_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │     t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_web_site_sk, ws_promo_sk, ws_order_number, ws_ext_sales_price, ws_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_81() -> Result<()> {
        let display = test_tpcds_query("q81").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [c_customer_id@0 ASC NULLS LAST, c_salutation@1 ASC NULLS LAST, c_first_name@2 ASC NULLS LAST, c_last_name@3 ASC NULLS LAST, ca_street_number@4 ASC NULLS LAST, ca_street_name@5 ASC NULLS LAST, ca_street_type@6 ASC NULLS LAST, ca_suite_number@7 ASC NULLS LAST, ca_city@8 ASC NULLS LAST, ca_county@9 ASC NULLS LAST, ca_state@10 ASC NULLS LAST, ca_zip@11 ASC NULLS LAST, ca_country@12 ASC NULLS LAST, ca_gmt_offset@13 ASC NULLS LAST, ca_location_type@14 ASC NULLS LAST, ctr_total_return@15 ASC NULLS LAST], fetch=100
        │   [Stage 11] => NetworkCoalesceExec: output_partitions=12, input_tasks=4
        └──────────────────────────────────────────────────
          ┌───── Stage 11 ── Tasks: t0:[p0..p2] t1:[p0..p2] t2:[p0..p2] t3:[p0..p2]
          │ SortExec: TopK(fetch=100), expr=[c_customer_id@0 ASC NULLS LAST, c_salutation@1 ASC NULLS LAST, c_first_name@2 ASC NULLS LAST, c_last_name@3 ASC NULLS LAST, ca_street_number@4 ASC NULLS LAST, ca_street_name@5 ASC NULLS LAST, ca_street_type@6 ASC NULLS LAST, ca_suite_number@7 ASC NULLS LAST, ca_city@8 ASC NULLS LAST, ca_county@9 ASC NULLS LAST, ca_zip@11 ASC NULLS LAST, ca_country@12 ASC NULLS LAST, ca_gmt_offset@13 ASC NULLS LAST, ca_location_type@14 ASC NULLS LAST, ctr_total_return@15 ASC NULLS LAST], preserve_partitioning=[true]
          │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(ctr_state@0, ctr_state@1)], filter=CAST(ctr_total_return@0 AS Decimal128(30, 15)) > avg(ctr2.ctr_total_return) * Float64(1.2)@1, projection=[c_customer_id@13, c_salutation@14, c_first_name@15, c_last_name@16, ca_street_number@2, ca_street_name@3, ca_street_type@4, ca_suite_number@5, ca_city@6, ca_county@7, ca_state@8, ca_zip@9, ca_country@10, ca_gmt_offset@11, ca_location_type@12, ctr_total_return@1]
          │     CoalescePartitionsExec
          │       [Stage 6] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
          │     ProjectionExec: expr=[CAST(CAST(avg(ctr2.ctr_total_return)@1 AS Float64) * 1.2 AS Decimal128(30, 15)) as avg(ctr2.ctr_total_return) * Float64(1.2), ctr_state@0 as ctr_state]
          │       AggregateExec: mode=FinalPartitioned, gby=[ctr_state@0 as ctr_state], aggr=[avg(ctr2.ctr_total_return)]
          │         [Stage 10] => NetworkShuffleExec: output_partitions=3, input_tasks=2
          └──────────────────────────────────────────────────
            ┌───── Stage 6 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(ca_address_sk@0, c_current_addr_sk@3)], projection=[ctr_state@12, ctr_total_return@13, ca_street_number@1, ca_street_name@2, ca_street_type@3, ca_suite_number@4, ca_city@5, ca_county@6, ca_state@7, ca_zip@8, ca_country@9, ca_gmt_offset@10, ca_location_type@11, c_customer_id@14, c_salutation@16, c_first_name@17, c_last_name@18]
            │     CoalescePartitionsExec
            │       [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(ctr_customer_sk@0, c_customer_sk@0)], projection=[ctr_state@1, ctr_total_return@2, c_customer_id@4, c_current_addr_sk@5, c_salutation@6, c_first_name@7, c_last_name@8]
            │       CoalescePartitionsExec
            │         [Stage 5] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=2
            │       RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │         DistributedLeafExec:
            │           t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_customer_id, c_current_addr_sk, c_salutation, c_first_name, c_last_name], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_customer_id, c_current_addr_sk, c_salutation, c_first_name, c_last_name], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_customer_id, c_current_addr_sk, c_salutation, c_first_name, c_last_name], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_customer_id, c_current_addr_sk, c_salutation, c_first_name, c_last_name], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 1 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: ca_state@7 = GA
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_street_number, ca_street_name, ca_street_type, ca_suite_number, ca_city, ca_county, ca_state, ca_zip, ca_country, ca_gmt_offset, ca_location_type], file_type=parquet, predicate=ca_state@8 = GA, pruning_predicate=ca_state_null_count@2 != row_count@3 AND ca_state_min@0 <= GA AND GA <= ca_state_max@1, required_guarantees=[ca_state in (GA)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_street_number, ca_street_name, ca_street_type, ca_suite_number, ca_city, ca_county, ca_state, ca_zip, ca_country, ca_gmt_offset, ca_location_type], file_type=parquet, predicate=ca_state@8 = GA, pruning_predicate=ca_state_null_count@2 != row_count@3 AND ca_state_min@0 <= GA AND GA <= ca_state_max@1, required_guarantees=[ca_state in (GA)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_street_number, ca_street_name, ca_street_type, ca_suite_number, ca_city, ca_county, ca_state, ca_zip, ca_country, ca_gmt_offset, ca_location_type], file_type=parquet, predicate=ca_state@8 = GA, pruning_predicate=ca_state_null_count@2 != row_count@3 AND ca_state_min@0 <= GA AND GA <= ca_state_max@1, required_guarantees=[ca_state in (GA)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_street_number, ca_street_name, ca_street_type, ca_suite_number, ca_city, ca_county, ca_state, ca_zip, ca_country, ca_gmt_offset, ca_location_type], file_type=parquet, predicate=ca_state@8 = GA, pruning_predicate=ca_state_null_count@2 != row_count@3 AND ca_state_min@0 <= GA AND GA <= ca_state_max@1, required_guarantees=[ca_state in (GA)]
              └──────────────────────────────────────────────────
              ┌───── Stage 5 ── Tasks: t0:[p0..p11] t1:[p12..p23]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   ProjectionExec: expr=[cr_returning_customer_sk@0 as ctr_customer_sk, ca_state@1 as ctr_state, sum(catalog_returns.cr_return_amt_inc_tax)@2 as ctr_total_return]
              │     AggregateExec: mode=FinalPartitioned, gby=[cr_returning_customer_sk@0 as cr_returning_customer_sk, ca_state@1 as ca_state], aggr=[sum(catalog_returns.cr_return_amt_inc_tax)]
              │       [Stage 4] => NetworkShuffleExec: output_partitions=3, input_tasks=4
              └──────────────────────────────────────────────────
                ┌───── Stage 4 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
                │ RepartitionExec: partitioning=Hash([cr_returning_customer_sk@0, ca_state@1], 6), input_partitions=3
                │   AggregateExec: mode=Partial, gby=[cr_returning_customer_sk@0 as cr_returning_customer_sk, ca_state@2 as ca_state], aggr=[sum(catalog_returns.cr_return_amt_inc_tax)]
                │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(cr_returning_addr_sk@1, ca_address_sk@0)], projection=[cr_returning_customer_sk@0, cr_return_amt_inc_tax@2, ca_state@4]
                │       CoalescePartitionsExec
                │         [Stage 3] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
                │       RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │         DistributedLeafExec:
                │           t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_state], file_type=parquet, predicate=DynamicFilter [ empty ]
                │           t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_state], file_type=parquet, predicate=DynamicFilter [ empty ]
                │           t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_state], file_type=parquet, predicate=DynamicFilter [ empty ]
                │           t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_state], file_type=parquet, predicate=DynamicFilter [ empty ]
                └──────────────────────────────────────────────────
                  ┌───── Stage 3 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                  │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                  │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, cr_returned_date_sk@0)], projection=[cr_returning_customer_sk@2, cr_returning_addr_sk@3, cr_return_amt_inc_tax@4]
                  │     CoalescePartitionsExec
                  │       [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
                  │     DistributedLeafExec:
                  │       t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>]]}, projection=[cr_returned_date_sk, cr_returning_customer_sk, cr_returning_addr_sk, cr_return_amt_inc_tax], file_type=parquet, predicate=DynamicFilter [ empty ]
                  │       t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-3.parquet:<int>..<int>]]}, projection=[cr_returned_date_sk, cr_returning_customer_sk, cr_returning_addr_sk, cr_return_amt_inc_tax], file_type=parquet, predicate=DynamicFilter [ empty ]
                  │       t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-3.parquet:<int>..<int>]]}, projection=[cr_returned_date_sk, cr_returning_customer_sk, cr_returning_addr_sk, cr_return_amt_inc_tax], file_type=parquet, predicate=DynamicFilter [ empty ]
                  │       t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-3.parquet:<int>..<int>]]}, projection=[cr_returned_date_sk, cr_returning_customer_sk, cr_returning_addr_sk, cr_return_amt_inc_tax], file_type=parquet, predicate=DynamicFilter [ empty ]
                  └──────────────────────────────────────────────────
                    ┌───── Stage 2 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                    │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                    │   FilterExec: d_year@1 = 2000, projection=[d_date_sk@0]
                    │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                    │       DistributedLeafExec:
                    │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2000, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1, required_guarantees=[d_year in (2000)]
                    │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2000, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1, required_guarantees=[d_year in (2000)]
                    │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2000, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1, required_guarantees=[d_year in (2000)]
                    │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2000, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1, required_guarantees=[d_year in (2000)]
                    └──────────────────────────────────────────────────
            ┌───── Stage 10 ── Tasks: t0:[p0..p11] t1:[p0..p11]
            │ RepartitionExec: partitioning=Hash([ctr_state@0], 12), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[ctr_state@0 as ctr_state], aggr=[avg(ctr2.ctr_total_return)]
            │     ProjectionExec: expr=[ca_state@1 as ctr_state, sum(catalog_returns.cr_return_amt_inc_tax)@2 as ctr_total_return]
            │       AggregateExec: mode=FinalPartitioned, gby=[cr_returning_customer_sk@0 as cr_returning_customer_sk, ca_state@1 as ca_state], aggr=[sum(catalog_returns.cr_return_amt_inc_tax)]
            │         [Stage 9] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            └──────────────────────────────────────────────────
              ┌───── Stage 9 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
              │ RepartitionExec: partitioning=Hash([cr_returning_customer_sk@0, ca_state@1], 6), input_partitions=3
              │   AggregateExec: mode=Partial, gby=[cr_returning_customer_sk@0 as cr_returning_customer_sk, ca_state@2 as ca_state], aggr=[sum(catalog_returns.cr_return_amt_inc_tax)]
              │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(cr_returning_addr_sk@1, ca_address_sk@0)], projection=[cr_returning_customer_sk@0, cr_return_amt_inc_tax@2, ca_state@4]
              │       CoalescePartitionsExec
              │         [Stage 8] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
              │       RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │         DistributedLeafExec:
              │           t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_state], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │           t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_state], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │           t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_state], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │           t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_state], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
                ┌───── Stage 8 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, cr_returned_date_sk@0)], projection=[cr_returning_customer_sk@2, cr_returning_addr_sk@3, cr_return_amt_inc_tax@4]
                │     CoalescePartitionsExec
                │       [Stage 7] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
                │     DistributedLeafExec:
                │       t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>]]}, projection=[cr_returned_date_sk, cr_returning_customer_sk, cr_returning_addr_sk, cr_return_amt_inc_tax], file_type=parquet, predicate=DynamicFilter [ empty ]
                │       t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-3.parquet:<int>..<int>]]}, projection=[cr_returned_date_sk, cr_returning_customer_sk, cr_returning_addr_sk, cr_return_amt_inc_tax], file_type=parquet, predicate=DynamicFilter [ empty ]
                │       t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-3.parquet:<int>..<int>]]}, projection=[cr_returned_date_sk, cr_returning_customer_sk, cr_returning_addr_sk, cr_return_amt_inc_tax], file_type=parquet, predicate=DynamicFilter [ empty ]
                │       t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-3.parquet:<int>..<int>]]}, projection=[cr_returned_date_sk, cr_returning_customer_sk, cr_returning_addr_sk, cr_return_amt_inc_tax], file_type=parquet, predicate=DynamicFilter [ empty ]
                └──────────────────────────────────────────────────
                  ┌───── Stage 7 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                  │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                  │   FilterExec: d_year@1 = 2000, projection=[d_date_sk@0]
                  │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                  │       DistributedLeafExec:
                  │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2000, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1, required_guarantees=[d_year in (2000)]
                  │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2000, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1, required_guarantees=[d_year in (2000)]
                  │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2000, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1, required_guarantees=[d_year in (2000)]
                  │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2000, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1, required_guarantees=[d_year in (2000)]
                  └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_82() -> Result<()> {
        let display = test_tpcds_query("q82").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [i_item_id@0 ASC NULLS LAST], fetch=100
        │   [Stage 5] => NetworkCoalesceExec: output_partitions=6, input_tasks=2
        └──────────────────────────────────────────────────
          ┌───── Stage 5 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ SortExec: TopK(fetch=100), expr=[i_item_id@0 ASC NULLS LAST], preserve_partitioning=[true]
          │   AggregateExec: mode=FinalPartitioned, gby=[i_item_id@0 as i_item_id, i_item_desc@1 as i_item_desc, i_current_price@2 as i_current_price], aggr=[]
          │     [Stage 4] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 4 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([i_item_id@0, i_item_desc@1, i_current_price@2], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[i_item_id@0 as i_item_id, i_item_desc@1 as i_item_desc, i_current_price@2 as i_current_price], aggr=[]
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, ss_item_sk@0)], projection=[i_item_id@1, i_item_desc@2, i_current_price@3]
            │       CoalescePartitionsExec
            │         [Stage 3] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_item_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
            │         t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_item_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
            │         t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_item_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
            │         t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_item_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 3 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, inv_date_sk@4)], projection=[i_item_sk@1, i_item_id@2, i_item_desc@3, i_current_price@4]
              │     CoalescePartitionsExec
              │       [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
              │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, inv_item_sk@1)], projection=[i_item_sk@0, i_item_id@1, i_item_desc@2, i_current_price@3, inv_date_sk@4]
              │       CoalescePartitionsExec
              │         [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
              │       FilterExec: inv_quantity_on_hand@2 >= 100 AND inv_quantity_on_hand@2 <= 500, projection=[inv_date_sk@0, inv_item_sk@1]
              │         DistributedLeafExec:
              │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/inventory/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/inventory/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/inventory/part-2.parquet:<int>..<int>]]}, projection=[inv_date_sk, inv_item_sk, inv_quantity_on_hand], file_type=parquet, predicate=inv_quantity_on_hand@3 >= 100 AND inv_quantity_on_hand@3 <= 500 AND DynamicFilter [ empty ] AND DynamicFilter [ empty ], pruning_predicate=inv_quantity_on_hand_null_count@1 != row_count@2 AND inv_quantity_on_hand_max@0 >= 100 AND inv_quantity_on_hand_null_count@1 != row_count@2 AND inv_quantity_on_hand_min@3 <= 500, required_guarantees=[]
              │           t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/inventory/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/inventory/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/inventory/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/inventory/part-3.parquet:<int>..<int>]]}, projection=[inv_date_sk, inv_item_sk, inv_quantity_on_hand], file_type=parquet, predicate=inv_quantity_on_hand@3 >= 100 AND inv_quantity_on_hand@3 <= 500 AND DynamicFilter [ empty ] AND DynamicFilter [ empty ], pruning_predicate=inv_quantity_on_hand_null_count@1 != row_count@2 AND inv_quantity_on_hand_max@0 >= 100 AND inv_quantity_on_hand_null_count@1 != row_count@2 AND inv_quantity_on_hand_min@3 <= 500, required_guarantees=[]
              │           t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/inventory/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/inventory/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/inventory/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/inventory/part-3.parquet:<int>..<int>]]}, projection=[inv_date_sk, inv_item_sk, inv_quantity_on_hand], file_type=parquet, predicate=inv_quantity_on_hand@3 >= 100 AND inv_quantity_on_hand@3 <= 500 AND DynamicFilter [ empty ] AND DynamicFilter [ empty ], pruning_predicate=inv_quantity_on_hand_null_count@1 != row_count@2 AND inv_quantity_on_hand_max@0 >= 100 AND inv_quantity_on_hand_null_count@1 != row_count@2 AND inv_quantity_on_hand_min@3 <= 500, required_guarantees=[]
              │           t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/inventory/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/inventory/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/inventory/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/inventory/part-3.parquet:<int>..<int>]]}, projection=[inv_date_sk, inv_item_sk, inv_quantity_on_hand], file_type=parquet, predicate=inv_quantity_on_hand@3 >= 100 AND inv_quantity_on_hand@3 <= 500 AND DynamicFilter [ empty ] AND DynamicFilter [ empty ], pruning_predicate=inv_quantity_on_hand_null_count@1 != row_count@2 AND inv_quantity_on_hand_max@0 >= 100 AND inv_quantity_on_hand_null_count@1 != row_count@2 AND inv_quantity_on_hand_min@3 <= 500, required_guarantees=[]
              └──────────────────────────────────────────────────
                ┌───── Stage 1 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                │   FilterExec: d_date@1 >= 2000-05-25 AND d_date@1 <= 2000-07-24, projection=[d_date_sk@0]
                │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-05-25 AND d_date@2 <= 2000-07-24, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-05-25 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-07-24, required_guarantees=[]
                │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-05-25 AND d_date@2 <= 2000-07-24, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-05-25 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-07-24, required_guarantees=[]
                │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-05-25 AND d_date@2 <= 2000-07-24, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-05-25 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-07-24, required_guarantees=[]
                │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-05-25 AND d_date@2 <= 2000-07-24, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-05-25 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-07-24, required_guarantees=[]
                └──────────────────────────────────────────────────
                ┌───── Stage 2 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                │   FilterExec: i_current_price@3 >= Some(6200),7,2 AND i_current_price@3 <= Some(9200),7,2 AND i_manufact_id@4 IN (SET) ([129, 270, 821, 423]), projection=[i_item_sk@0, i_item_id@1, i_item_desc@2, i_current_price@3]
                │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id, i_item_desc, i_current_price, i_manufact_id], file_type=parquet, predicate=i_current_price@5 >= Some(6200),7,2 AND i_current_price@5 <= Some(9200),7,2 AND i_manufact_id@13 IN (SET) ([129, 270, 821, 423]) AND DynamicFilter [ empty ], pruning_predicate=i_current_price_null_count@1 != row_count@2 AND i_current_price_max@0 >= Some(6200),7,2 AND i_current_price_null_count@1 != row_count@2 AND i_current_price_min@3 <= Some(9200),7,2 AND (i_manufact_id_null_count@6 != row_count@2 AND i_manufact_id_min@4 <= 129 AND 129 <= i_manufact_id_max@5 OR i_manufact_id_null_count@6 != row_count@2 AND i_manufact_id_min@4 <= 270 AND 270 <= i_manufact_id_max@5 OR i_manufact_id_null_count@6 != row_count@2 AND i_manufact_id_min@4 <= 821 AND 821 <= i_manufact_id_max@5 OR i_manufact_id_null_count@6 != row_count@2 AND i_manufact_id_min@4 <= 423 AND 423 <= i_manufact_id_max@5), required_guarantees=[i_manufact_id in (129, 270, 423, 821)]
                │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id, i_item_desc, i_current_price, i_manufact_id], file_type=parquet, predicate=i_current_price@5 >= Some(6200),7,2 AND i_current_price@5 <= Some(9200),7,2 AND i_manufact_id@13 IN (SET) ([129, 270, 821, 423]) AND DynamicFilter [ empty ], pruning_predicate=i_current_price_null_count@1 != row_count@2 AND i_current_price_max@0 >= Some(6200),7,2 AND i_current_price_null_count@1 != row_count@2 AND i_current_price_min@3 <= Some(9200),7,2 AND (i_manufact_id_null_count@6 != row_count@2 AND i_manufact_id_min@4 <= 129 AND 129 <= i_manufact_id_max@5 OR i_manufact_id_null_count@6 != row_count@2 AND i_manufact_id_min@4 <= 270 AND 270 <= i_manufact_id_max@5 OR i_manufact_id_null_count@6 != row_count@2 AND i_manufact_id_min@4 <= 821 AND 821 <= i_manufact_id_max@5 OR i_manufact_id_null_count@6 != row_count@2 AND i_manufact_id_min@4 <= 423 AND 423 <= i_manufact_id_max@5), required_guarantees=[i_manufact_id in (129, 270, 423, 821)]
                │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id, i_item_desc, i_current_price, i_manufact_id], file_type=parquet, predicate=i_current_price@5 >= Some(6200),7,2 AND i_current_price@5 <= Some(9200),7,2 AND i_manufact_id@13 IN (SET) ([129, 270, 821, 423]) AND DynamicFilter [ empty ], pruning_predicate=i_current_price_null_count@1 != row_count@2 AND i_current_price_max@0 >= Some(6200),7,2 AND i_current_price_null_count@1 != row_count@2 AND i_current_price_min@3 <= Some(9200),7,2 AND (i_manufact_id_null_count@6 != row_count@2 AND i_manufact_id_min@4 <= 129 AND 129 <= i_manufact_id_max@5 OR i_manufact_id_null_count@6 != row_count@2 AND i_manufact_id_min@4 <= 270 AND 270 <= i_manufact_id_max@5 OR i_manufact_id_null_count@6 != row_count@2 AND i_manufact_id_min@4 <= 821 AND 821 <= i_manufact_id_max@5 OR i_manufact_id_null_count@6 != row_count@2 AND i_manufact_id_min@4 <= 423 AND 423 <= i_manufact_id_max@5), required_guarantees=[i_manufact_id in (129, 270, 423, 821)]
                │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id, i_item_desc, i_current_price, i_manufact_id], file_type=parquet, predicate=i_current_price@5 >= Some(6200),7,2 AND i_current_price@5 <= Some(9200),7,2 AND i_manufact_id@13 IN (SET) ([129, 270, 821, 423]) AND DynamicFilter [ empty ], pruning_predicate=i_current_price_null_count@1 != row_count@2 AND i_current_price_max@0 >= Some(6200),7,2 AND i_current_price_null_count@1 != row_count@2 AND i_current_price_min@3 <= Some(9200),7,2 AND (i_manufact_id_null_count@6 != row_count@2 AND i_manufact_id_min@4 <= 129 AND 129 <= i_manufact_id_max@5 OR i_manufact_id_null_count@6 != row_count@2 AND i_manufact_id_min@4 <= 270 AND 270 <= i_manufact_id_max@5 OR i_manufact_id_null_count@6 != row_count@2 AND i_manufact_id_min@4 <= 821 AND 821 <= i_manufact_id_max@5 OR i_manufact_id_null_count@6 != row_count@2 AND i_manufact_id_min@4 <= 423 AND 423 <= i_manufact_id_max@5), required_guarantees=[i_manufact_id in (129, 270, 423, 821)]
                └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_83() -> Result<()> {
        let display = test_tpcds_query("q83").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [item_id@0 ASC], fetch=100
        │   [Stage 16] => NetworkCoalesceExec: output_partitions=6, input_tasks=2
        └──────────────────────────────────────────────────
          ┌───── Stage 16 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ SortExec: TopK(fetch=100), expr=[item_id@0 ASC], preserve_partitioning=[true]
          │   ProjectionExec: expr=[item_id@1 as item_id, sr_item_qty@2 as sr_item_qty, CAST(sr_item_qty@2 AS Float64) / __common_expr_7@0 / 3 * 100 as sr_dev, cr_item_qty@3 as cr_item_qty, CAST(cr_item_qty@3 AS Float64) / __common_expr_7@0 / 3 * 100 as cr_dev, wr_item_qty@4 as wr_item_qty, CAST(wr_item_qty@4 AS Float64) / __common_expr_7@0 / 3 * 100 as wr_dev, __common_expr_7@0 / 3 as average]
          │     ProjectionExec: expr=[CAST(sr_item_qty@0 + cr_item_qty@1 + wr_item_qty@2 AS Float64) as __common_expr_7, item_id@3 as item_id, sr_item_qty@0 as sr_item_qty, cr_item_qty@1 as cr_item_qty, wr_item_qty@2 as wr_item_qty]
          │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(item_id@0, item_id@0)], projection=[sr_item_qty@3, cr_item_qty@4, wr_item_qty@1, item_id@2]
          │         CoalescePartitionsExec
          │           [Stage 5] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=6, input_tasks=1
          │         HashJoinExec: mode=Partitioned, join_type=Inner, on=[(item_id@0, item_id@0)], projection=[item_id@2, sr_item_qty@3, cr_item_qty@1]
          │           ProjectionExec: expr=[i_item_id@0 as item_id, sum(catalog_returns.cr_return_quantity)@1 as cr_item_qty]
          │             AggregateExec: mode=FinalPartitioned, gby=[i_item_id@0 as i_item_id], aggr=[sum(catalog_returns.cr_return_quantity)]
          │               [Stage 10] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          │           ProjectionExec: expr=[i_item_id@0 as item_id, sum(store_returns.sr_return_quantity)@1 as sr_item_qty]
          │             AggregateExec: mode=FinalPartitioned, gby=[i_item_id@0 as i_item_id], aggr=[sum(store_returns.sr_return_quantity)]
          │               [Stage 15] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 5 ── Tasks: t0:[p0..p5]
            │ BroadcastExec: input_partitions=3, consumer_tasks=2, output_partitions=6
            │   ProjectionExec: expr=[i_item_id@0 as item_id, sum(web_returns.wr_return_quantity)@1 as wr_item_qty]
            │     AggregateExec: mode=FinalPartitioned, gby=[i_item_id@0 as i_item_id], aggr=[sum(web_returns.wr_return_quantity)]
            │       RepartitionExec: partitioning=Hash([i_item_id@0], 3), input_partitions=3
            │         AggregateExec: mode=Partial, gby=[i_item_id@1 as i_item_id], aggr=[sum(web_returns.wr_return_quantity)]
            │           HashJoinExec: mode=CollectLeft, join_type=LeftSemi, on=[(d_date@2, d_date@0)], projection=[wr_return_quantity@0, i_item_id@1]
            │             CoalescePartitionsExec
            │               [Stage 3] => NetworkCoalesceExec: output_partitions=12, input_tasks=4
            │             HashJoinExec: mode=CollectLeft, join_type=RightSemi, on=[(d_week_seq@0, d_week_seq@1)], projection=[d_date@0]
            │               CoalescePartitionsExec
            │                 [Stage 4] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=3, input_tasks=4
            │               RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │                 DistributedLeafExec:
            │                   t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date, d_week_seq], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 3 ── Tasks: t0:[p0..p2] t1:[p3..p5] t2:[p6..p8] t3:[p9..p11]
              │ HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(wr_returned_date_sk@0, d_date_sk@0)], projection=[wr_return_quantity@1, i_item_id@2, d_date@4]
              │   CoalescePartitionsExec
              │     [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
              │   RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │     DistributedLeafExec:
              │       t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=DynamicFilter [ empty ]
              │       t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=DynamicFilter [ empty ]
              │       t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=DynamicFilter [ empty ]
              │       t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
                ┌───── Stage 2 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, wr_item_sk@1)], projection=[wr_returned_date_sk@2, wr_return_quantity@4, i_item_id@1]
                │     CoalescePartitionsExec
                │       [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
                │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_returns/part-2.parquet:<int>..<int>]]}, projection=[wr_returned_date_sk, wr_item_sk, wr_return_quantity], file_type=parquet, predicate=DynamicFilter [ empty ]
                │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_returns/part-2.parquet:<int>..<int>]]}, projection=[wr_returned_date_sk, wr_item_sk, wr_return_quantity], file_type=parquet, predicate=DynamicFilter [ empty ]
                │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_returns/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_returns/part-3.parquet:<int>..<int>]]}, projection=[wr_returned_date_sk, wr_item_sk, wr_return_quantity], file_type=parquet, predicate=DynamicFilter [ empty ]
                │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_returns/part-3.parquet:<int>..<int>]]}, projection=[wr_returned_date_sk, wr_item_sk, wr_return_quantity], file_type=parquet, predicate=DynamicFilter [ empty ]
                └──────────────────────────────────────────────────
                  ┌───── Stage 1 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                  │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                  │   DistributedLeafExec:
                  │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet
                  │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet
                  │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet
                  │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet
                  └──────────────────────────────────────────────────
              ┌───── Stage 4 ── Tasks: t0:[p0..p2] t1:[p3..p5] t2:[p6..p8] t3:[p9..p11]
              │ BroadcastExec: input_partitions=3, consumer_tasks=1, output_partitions=3
              │   FilterExec: d_date@0 = 2000-06-30 OR d_date@0 = 2000-09-27 OR d_date@0 = 2000-11-17, projection=[d_week_seq@1]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date, d_week_seq], file_type=parquet, predicate=d_date@2 = 2000-06-30 OR d_date@2 = 2000-09-27 OR d_date@2 = 2000-11-17, pruning_predicate=d_date_null_count@2 != row_count@3 AND d_date_min@0 <= 2000-06-30 AND 2000-06-30 <= d_date_max@1 OR d_date_null_count@2 != row_count@3 AND d_date_min@0 <= 2000-09-27 AND 2000-09-27 <= d_date_max@1 OR d_date_null_count@2 != row_count@3 AND d_date_min@0 <= 2000-11-17 AND 2000-11-17 <= d_date_max@1, required_guarantees=[d_date in (2000-06-30, 2000-09-27, 2000-11-17)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date, d_week_seq], file_type=parquet, predicate=d_date@2 = 2000-06-30 OR d_date@2 = 2000-09-27 OR d_date@2 = 2000-11-17, pruning_predicate=d_date_null_count@2 != row_count@3 AND d_date_min@0 <= 2000-06-30 AND 2000-06-30 <= d_date_max@1 OR d_date_null_count@2 != row_count@3 AND d_date_min@0 <= 2000-09-27 AND 2000-09-27 <= d_date_max@1 OR d_date_null_count@2 != row_count@3 AND d_date_min@0 <= 2000-11-17 AND 2000-11-17 <= d_date_max@1, required_guarantees=[d_date in (2000-06-30, 2000-09-27, 2000-11-17)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date, d_week_seq], file_type=parquet, predicate=d_date@2 = 2000-06-30 OR d_date@2 = 2000-09-27 OR d_date@2 = 2000-11-17, pruning_predicate=d_date_null_count@2 != row_count@3 AND d_date_min@0 <= 2000-06-30 AND 2000-06-30 <= d_date_max@1 OR d_date_null_count@2 != row_count@3 AND d_date_min@0 <= 2000-09-27 AND 2000-09-27 <= d_date_max@1 OR d_date_null_count@2 != row_count@3 AND d_date_min@0 <= 2000-11-17 AND 2000-11-17 <= d_date_max@1, required_guarantees=[d_date in (2000-06-30, 2000-09-27, 2000-11-17)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date, d_week_seq], file_type=parquet, predicate=d_date@2 = 2000-06-30 OR d_date@2 = 2000-09-27 OR d_date@2 = 2000-11-17, pruning_predicate=d_date_null_count@2 != row_count@3 AND d_date_min@0 <= 2000-06-30 AND 2000-06-30 <= d_date_max@1 OR d_date_null_count@2 != row_count@3 AND d_date_min@0 <= 2000-09-27 AND 2000-09-27 <= d_date_max@1 OR d_date_null_count@2 != row_count@3 AND d_date_min@0 <= 2000-11-17 AND 2000-11-17 <= d_date_max@1, required_guarantees=[d_date in (2000-06-30, 2000-09-27, 2000-11-17)]
              └──────────────────────────────────────────────────
            ┌───── Stage 10 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([i_item_id@0], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[i_item_id@1 as i_item_id], aggr=[sum(catalog_returns.cr_return_quantity)]
            │     HashJoinExec: mode=CollectLeft, join_type=RightSemi, on=[(d_date@0, d_date@2)], projection=[cr_return_quantity@0, i_item_id@1]
            │       CoalescePartitionsExec
            │         [Stage 7] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, cr_returned_date_sk@0)], projection=[cr_return_quantity@3, i_item_id@4, d_date@1]
            │         CoalescePartitionsExec
            │           [Stage 8] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, cr_item_sk@1)], projection=[cr_returned_date_sk@2, cr_return_quantity@4, i_item_id@1]
            │           CoalescePartitionsExec
            │             [Stage 9] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │           DistributedLeafExec:
            │             t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>]]}, projection=[cr_returned_date_sk, cr_item_sk, cr_return_quantity], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-3.parquet:<int>..<int>]]}, projection=[cr_returned_date_sk, cr_item_sk, cr_return_quantity], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-3.parquet:<int>..<int>]]}, projection=[cr_returned_date_sk, cr_item_sk, cr_return_quantity], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-3.parquet:<int>..<int>]]}, projection=[cr_returned_date_sk, cr_item_sk, cr_return_quantity], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 7 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   HashJoinExec: mode=CollectLeft, join_type=RightSemi, on=[(d_week_seq@0, d_week_seq@1)], projection=[d_date@0]
              │     CoalescePartitionsExec
              │       [Stage 6] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date, d_week_seq], file_type=parquet, predicate=DynamicFilter [ empty ]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date, d_week_seq], file_type=parquet, predicate=DynamicFilter [ empty ]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date, d_week_seq], file_type=parquet, predicate=DynamicFilter [ empty ]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date, d_week_seq], file_type=parquet, predicate=DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
                ┌───── Stage 6 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                │   FilterExec: d_date@0 = 2000-06-30 OR d_date@0 = 2000-09-27 OR d_date@0 = 2000-11-17, projection=[d_week_seq@1]
                │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date, d_week_seq], file_type=parquet, predicate=d_date@2 = 2000-06-30 OR d_date@2 = 2000-09-27 OR d_date@2 = 2000-11-17, pruning_predicate=d_date_null_count@2 != row_count@3 AND d_date_min@0 <= 2000-06-30 AND 2000-06-30 <= d_date_max@1 OR d_date_null_count@2 != row_count@3 AND d_date_min@0 <= 2000-09-27 AND 2000-09-27 <= d_date_max@1 OR d_date_null_count@2 != row_count@3 AND d_date_min@0 <= 2000-11-17 AND 2000-11-17 <= d_date_max@1, required_guarantees=[d_date in (2000-06-30, 2000-09-27, 2000-11-17)]
                │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date, d_week_seq], file_type=parquet, predicate=d_date@2 = 2000-06-30 OR d_date@2 = 2000-09-27 OR d_date@2 = 2000-11-17, pruning_predicate=d_date_null_count@2 != row_count@3 AND d_date_min@0 <= 2000-06-30 AND 2000-06-30 <= d_date_max@1 OR d_date_null_count@2 != row_count@3 AND d_date_min@0 <= 2000-09-27 AND 2000-09-27 <= d_date_max@1 OR d_date_null_count@2 != row_count@3 AND d_date_min@0 <= 2000-11-17 AND 2000-11-17 <= d_date_max@1, required_guarantees=[d_date in (2000-06-30, 2000-09-27, 2000-11-17)]
                │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date, d_week_seq], file_type=parquet, predicate=d_date@2 = 2000-06-30 OR d_date@2 = 2000-09-27 OR d_date@2 = 2000-11-17, pruning_predicate=d_date_null_count@2 != row_count@3 AND d_date_min@0 <= 2000-06-30 AND 2000-06-30 <= d_date_max@1 OR d_date_null_count@2 != row_count@3 AND d_date_min@0 <= 2000-09-27 AND 2000-09-27 <= d_date_max@1 OR d_date_null_count@2 != row_count@3 AND d_date_min@0 <= 2000-11-17 AND 2000-11-17 <= d_date_max@1, required_guarantees=[d_date in (2000-06-30, 2000-09-27, 2000-11-17)]
                │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date, d_week_seq], file_type=parquet, predicate=d_date@2 = 2000-06-30 OR d_date@2 = 2000-09-27 OR d_date@2 = 2000-11-17, pruning_predicate=d_date_null_count@2 != row_count@3 AND d_date_min@0 <= 2000-06-30 AND 2000-06-30 <= d_date_max@1 OR d_date_null_count@2 != row_count@3 AND d_date_min@0 <= 2000-09-27 AND 2000-09-27 <= d_date_max@1 OR d_date_null_count@2 != row_count@3 AND d_date_min@0 <= 2000-11-17 AND 2000-11-17 <= d_date_max@1, required_guarantees=[d_date in (2000-06-30, 2000-09-27, 2000-11-17)]
                └──────────────────────────────────────────────────
              ┌───── Stage 8 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
              ┌───── Stage 9 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet
              └──────────────────────────────────────────────────
            ┌───── Stage 15 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([i_item_id@0], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[i_item_id@1 as i_item_id], aggr=[sum(store_returns.sr_return_quantity)]
            │     HashJoinExec: mode=CollectLeft, join_type=RightSemi, on=[(d_date@0, d_date@2)], projection=[sr_return_quantity@0, i_item_id@1]
            │       CoalescePartitionsExec
            │         [Stage 12] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, sr_returned_date_sk@0)], projection=[sr_return_quantity@3, i_item_id@4, d_date@1]
            │         CoalescePartitionsExec
            │           [Stage 13] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, sr_item_sk@1)], projection=[sr_returned_date_sk@2, sr_return_quantity@4, i_item_id@1]
            │           CoalescePartitionsExec
            │             [Stage 14] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │           DistributedLeafExec:
            │             t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>]]}, projection=[sr_returned_date_sk, sr_item_sk, sr_return_quantity], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-3.parquet:<int>..<int>]]}, projection=[sr_returned_date_sk, sr_item_sk, sr_return_quantity], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-3.parquet:<int>..<int>]]}, projection=[sr_returned_date_sk, sr_item_sk, sr_return_quantity], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-3.parquet:<int>..<int>]]}, projection=[sr_returned_date_sk, sr_item_sk, sr_return_quantity], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 12 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   HashJoinExec: mode=CollectLeft, join_type=RightSemi, on=[(d_week_seq@0, d_week_seq@1)], projection=[d_date@0]
              │     CoalescePartitionsExec
              │       [Stage 11] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date, d_week_seq], file_type=parquet, predicate=DynamicFilter [ empty ]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date, d_week_seq], file_type=parquet, predicate=DynamicFilter [ empty ]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date, d_week_seq], file_type=parquet, predicate=DynamicFilter [ empty ]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date, d_week_seq], file_type=parquet, predicate=DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
                ┌───── Stage 11 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                │   FilterExec: d_date@0 = 2000-06-30 OR d_date@0 = 2000-09-27 OR d_date@0 = 2000-11-17, projection=[d_week_seq@1]
                │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date, d_week_seq], file_type=parquet, predicate=d_date@2 = 2000-06-30 OR d_date@2 = 2000-09-27 OR d_date@2 = 2000-11-17, pruning_predicate=d_date_null_count@2 != row_count@3 AND d_date_min@0 <= 2000-06-30 AND 2000-06-30 <= d_date_max@1 OR d_date_null_count@2 != row_count@3 AND d_date_min@0 <= 2000-09-27 AND 2000-09-27 <= d_date_max@1 OR d_date_null_count@2 != row_count@3 AND d_date_min@0 <= 2000-11-17 AND 2000-11-17 <= d_date_max@1, required_guarantees=[d_date in (2000-06-30, 2000-09-27, 2000-11-17)]
                │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date, d_week_seq], file_type=parquet, predicate=d_date@2 = 2000-06-30 OR d_date@2 = 2000-09-27 OR d_date@2 = 2000-11-17, pruning_predicate=d_date_null_count@2 != row_count@3 AND d_date_min@0 <= 2000-06-30 AND 2000-06-30 <= d_date_max@1 OR d_date_null_count@2 != row_count@3 AND d_date_min@0 <= 2000-09-27 AND 2000-09-27 <= d_date_max@1 OR d_date_null_count@2 != row_count@3 AND d_date_min@0 <= 2000-11-17 AND 2000-11-17 <= d_date_max@1, required_guarantees=[d_date in (2000-06-30, 2000-09-27, 2000-11-17)]
                │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date, d_week_seq], file_type=parquet, predicate=d_date@2 = 2000-06-30 OR d_date@2 = 2000-09-27 OR d_date@2 = 2000-11-17, pruning_predicate=d_date_null_count@2 != row_count@3 AND d_date_min@0 <= 2000-06-30 AND 2000-06-30 <= d_date_max@1 OR d_date_null_count@2 != row_count@3 AND d_date_min@0 <= 2000-09-27 AND 2000-09-27 <= d_date_max@1 OR d_date_null_count@2 != row_count@3 AND d_date_min@0 <= 2000-11-17 AND 2000-11-17 <= d_date_max@1, required_guarantees=[d_date in (2000-06-30, 2000-09-27, 2000-11-17)]
                │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date, d_week_seq], file_type=parquet, predicate=d_date@2 = 2000-06-30 OR d_date@2 = 2000-09-27 OR d_date@2 = 2000-11-17, pruning_predicate=d_date_null_count@2 != row_count@3 AND d_date_min@0 <= 2000-06-30 AND 2000-06-30 <= d_date_max@1 OR d_date_null_count@2 != row_count@3 AND d_date_min@0 <= 2000-09-27 AND 2000-09-27 <= d_date_max@1 OR d_date_null_count@2 != row_count@3 AND d_date_min@0 <= 2000-11-17 AND 2000-11-17 <= d_date_max@1, required_guarantees=[d_date in (2000-06-30, 2000-09-27, 2000-11-17)]
                └──────────────────────────────────────────────────
              ┌───── Stage 13 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
              ┌───── Stage 14 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_84() -> Result<()> {
        let display = test_tpcds_query("q84").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [customer_id@0 ASC], fetch=100
        │   [Stage 6] => NetworkCoalesceExec: output_partitions=12, input_tasks=4
        └──────────────────────────────────────────────────
          ┌───── Stage 6 ── Tasks: t0:[p0..p2] t1:[p3..p5] t2:[p6..p8] t3:[p9..p11]
          │ SortExec: TopK(fetch=100), expr=[customer_id@0 ASC], preserve_partitioning=[true]
          │   ProjectionExec: expr=[c_customer_id@0 as customer_id, concat(concat(CASE WHEN c_last_name@1 IS NOT NULL THEN c_last_name@1 ELSE  END, , ), CASE WHEN c_first_name@2 IS NOT NULL THEN c_first_name@2 ELSE  END) as customername]
          │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(cd_demo_sk@3, sr_cdemo_sk@0)], projection=[c_customer_id@0, c_last_name@2, c_first_name@1]
          │       CoalescePartitionsExec
          │         [Stage 5] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
          │       DistributedLeafExec:
          │         t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>]]}, projection=[sr_cdemo_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
          │         t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-3.parquet:<int>..<int>]]}, projection=[sr_cdemo_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
          │         t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-3.parquet:<int>..<int>]]}, projection=[sr_cdemo_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
          │         t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-3.parquet:<int>..<int>]]}, projection=[sr_cdemo_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
          └──────────────────────────────────────────────────
            ┌───── Stage 5 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(ib_income_band_sk@0, hd_income_band_sk@4)], projection=[c_customer_id@1, c_first_name@2, c_last_name@3, cd_demo_sk@4]
            │     CoalescePartitionsExec
            │       [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(hd_demo_sk@0, c_current_hdemo_sk@1)], projection=[c_customer_id@2, c_first_name@4, c_last_name@5, cd_demo_sk@6, hd_income_band_sk@1]
            │       CoalescePartitionsExec
            │         [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(c_current_cdemo_sk@1, cd_demo_sk@0)], projection=[c_customer_id@0, c_current_hdemo_sk@2, c_first_name@3, c_last_name@4, cd_demo_sk@5]
            │         CoalescePartitionsExec
            │           [Stage 4] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │         DistributedLeafExec:
            │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>]]}, projection=[cd_demo_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
            │           t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-3.parquet:<int>..<int>]]}, projection=[cd_demo_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
            │           t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-3.parquet:<int>..<int>]]}, projection=[cd_demo_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
            │           t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-3.parquet:<int>..<int>]]}, projection=[cd_demo_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 1 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: ib_lower_bound@1 >= 38128 AND ib_upper_bound@2 <= 88128, projection=[ib_income_band_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/income_band/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/income_band/part-1.parquet:<int>..<int>]]}, projection=[ib_income_band_sk, ib_lower_bound, ib_upper_bound], file_type=parquet, predicate=ib_lower_bound@1 >= 38128 AND ib_upper_bound@2 <= 88128, pruning_predicate=ib_lower_bound_null_count@1 != row_count@2 AND ib_lower_bound_max@0 >= 38128 AND ib_upper_bound_null_count@4 != row_count@2 AND ib_upper_bound_min@3 <= 88128, required_guarantees=[]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/income_band/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/income_band/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/income_band/part-2.parquet:<int>..<int>]]}, projection=[ib_income_band_sk, ib_lower_bound, ib_upper_bound], file_type=parquet, predicate=ib_lower_bound@1 >= 38128 AND ib_upper_bound@2 <= 88128, pruning_predicate=ib_lower_bound_null_count@1 != row_count@2 AND ib_lower_bound_max@0 >= 38128 AND ib_upper_bound_null_count@4 != row_count@2 AND ib_upper_bound_min@3 <= 88128, required_guarantees=[]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/income_band/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/income_band/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/income_band/part-3.parquet:<int>..<int>]]}, projection=[ib_income_band_sk, ib_lower_bound, ib_upper_bound], file_type=parquet, predicate=ib_lower_bound@1 >= 38128 AND ib_upper_bound@2 <= 88128, pruning_predicate=ib_lower_bound_null_count@1 != row_count@2 AND ib_lower_bound_max@0 >= 38128 AND ib_upper_bound_null_count@4 != row_count@2 AND ib_upper_bound_min@3 <= 88128, required_guarantees=[]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/income_band/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/income_band/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/income_band/part-3.parquet:<int>..<int>]]}, projection=[ib_income_band_sk, ib_lower_bound, ib_upper_bound], file_type=parquet, predicate=ib_lower_bound@1 >= 38128 AND ib_upper_bound@2 <= 88128, pruning_predicate=ib_lower_bound_null_count@1 != row_count@2 AND ib_lower_bound_max@0 >= 38128 AND ib_upper_bound_null_count@4 != row_count@2 AND ib_upper_bound_min@3 <= 88128, required_guarantees=[]
              └──────────────────────────────────────────────────
              ┌───── Stage 2 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_income_band_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_income_band_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_income_band_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-3.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_income_band_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
              ┌───── Stage 4 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(ca_address_sk@0, c_current_addr_sk@3)], projection=[c_customer_id@1, c_current_cdemo_sk@2, c_current_hdemo_sk@3, c_first_name@5, c_last_name@6]
              │     CoalescePartitionsExec
              │       [Stage 3] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_id, c_current_cdemo_sk, c_current_hdemo_sk, c_current_addr_sk, c_first_name, c_last_name], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_id, c_current_cdemo_sk, c_current_hdemo_sk, c_current_addr_sk, c_first_name, c_last_name], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_id, c_current_cdemo_sk, c_current_hdemo_sk, c_current_addr_sk, c_first_name, c_last_name], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_id, c_current_cdemo_sk, c_current_hdemo_sk, c_current_addr_sk, c_first_name, c_last_name], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
                ┌───── Stage 3 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                │   FilterExec: ca_city@1 = Edgewood, projection=[ca_address_sk@0]
                │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_city], file_type=parquet, predicate=ca_city@6 = Edgewood, pruning_predicate=ca_city_null_count@2 != row_count@3 AND ca_city_min@0 <= Edgewood AND Edgewood <= ca_city_max@1, required_guarantees=[ca_city in (Edgewood)]
                │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_city], file_type=parquet, predicate=ca_city@6 = Edgewood, pruning_predicate=ca_city_null_count@2 != row_count@3 AND ca_city_min@0 <= Edgewood AND Edgewood <= ca_city_max@1, required_guarantees=[ca_city in (Edgewood)]
                │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_city], file_type=parquet, predicate=ca_city@6 = Edgewood, pruning_predicate=ca_city_null_count@2 != row_count@3 AND ca_city_min@0 <= Edgewood AND Edgewood <= ca_city_max@1, required_guarantees=[ca_city in (Edgewood)]
                │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_city], file_type=parquet, predicate=ca_city@6 = Edgewood, pruning_predicate=ca_city_null_count@2 != row_count@3 AND ca_city_min@0 <= Edgewood AND Edgewood <= ca_city_max@1, required_guarantees=[ca_city in (Edgewood)]
                └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_85() -> Result<()> {
        let display = test_tpcds_query("q85").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [substr(reason.r_reason_desc,Int64(1),Int64(20))@0 ASC NULLS LAST, avg1@1 ASC NULLS LAST, avg2@2 ASC NULLS LAST, avg(web_returns.wr_fee)@3 ASC NULLS LAST], fetch=100
        │   [Stage 12] => NetworkCoalesceExec: output_partitions=6, input_tasks=2
        └──────────────────────────────────────────────────
          ┌───── Stage 12 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ SortExec: TopK(fetch=100), expr=[substr(reason.r_reason_desc,Int64(1),Int64(20))@0 ASC NULLS LAST, avg1@1 ASC NULLS LAST, avg2@2 ASC NULLS LAST, avg(web_returns.wr_fee)@3 ASC NULLS LAST], preserve_partitioning=[true]
          │   ProjectionExec: expr=[substr(r_reason_desc@0, 1, 20) as substr(reason.r_reason_desc,Int64(1),Int64(20)), avg(web_sales.ws_quantity)@1 as avg1, avg(web_returns.wr_refunded_cash)@2 as avg2, avg(web_returns.wr_fee)@3 as avg(web_returns.wr_fee)]
          │     AggregateExec: mode=FinalPartitioned, gby=[r_reason_desc@0 as r_reason_desc], aggr=[avg(web_sales.ws_quantity), avg(web_returns.wr_refunded_cash), avg(web_returns.wr_fee)]
          │       [Stage 11] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 11 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([r_reason_desc@0], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[r_reason_desc@3 as r_reason_desc], aggr=[avg(web_sales.ws_quantity), avg(web_returns.wr_refunded_cash), avg(web_returns.wr_fee)]
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(r_reason_sk@0, wr_reason_sk@1)], projection=[ws_quantity@2, wr_fee@4, wr_refunded_cash@5, r_reason_desc@1]
            │       CoalescePartitionsExec
            │         [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ws_sold_date_sk@0)], projection=[ws_quantity@2, wr_reason_sk@3, wr_fee@4, wr_refunded_cash@5]
            │         CoalescePartitionsExec
            │           [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(ca_address_sk@0, wr_refunded_addr_sk@3)], filter=(ca_state@1 = IN OR ca_state@1 = OH OR ca_state@1 = NJ) AND ws_net_profit@0 >= Some(10000),7,2 AND ws_net_profit@0 <= Some(20000),7,2 OR (ca_state@1 = WI OR ca_state@1 = CT OR ca_state@1 = KY) AND ws_net_profit@0 >= Some(15000),7,2 AND ws_net_profit@0 <= Some(30000),7,2 OR (ca_state@1 = LA OR ca_state@1 = IA OR ca_state@1 = AR) AND ws_net_profit@0 >= Some(5000),7,2 AND ws_net_profit@0 <= Some(25000),7,2, projection=[ws_sold_date_sk@2, ws_quantity@3, wr_reason_sk@6, wr_fee@7, wr_refunded_cash@8]
            │           CoalescePartitionsExec
            │             [Stage 3] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │           HashJoinExec: mode=Partitioned, join_type=Inner, on=[(wr_returning_cdemo_sk@4, cd_demo_sk@0), (cd_marital_status@8, cd_marital_status@1), (cd_education_status@9, cd_education_status@2)], projection=[ws_sold_date_sk@0, ws_quantity@1, ws_net_profit@2, wr_refunded_addr_sk@3, wr_reason_sk@5, wr_fee@6, wr_refunded_cash@7]
            │             [Stage 9] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            │             [Stage 10] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            └──────────────────────────────────────────────────
              ┌───── Stage 1 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/reason/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/reason/part-0.parquet:<int>..<int>]]}, projection=[r_reason_sk, r_reason_desc], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/reason/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/reason/part-0.parquet:<int>..<int>]]}, projection=[r_reason_sk, r_reason_desc], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/reason/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/reason/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/reason/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/reason/part-2.parquet:<int>..<int>]]}, projection=[r_reason_sk, r_reason_desc], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/reason/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/reason/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/reason/part-3.parquet:<int>..<int>]]}, projection=[r_reason_sk, r_reason_desc], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 2 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_year@1 = 2000, projection=[d_date_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2000, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1, required_guarantees=[d_year in (2000)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2000, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1, required_guarantees=[d_year in (2000)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2000, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1, required_guarantees=[d_year in (2000)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year], file_type=parquet, predicate=d_year@6 = 2000, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 2000 AND 2000 <= d_year_max@1, required_guarantees=[d_year in (2000)]
              └──────────────────────────────────────────────────
              ┌───── Stage 3 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: ca_country@2 = United States AND ca_state@1 IN (SET) ([IN, OH, NJ, WI, CT, KY, LA, IA, AR]) AND (ca_state@1 = IN OR ca_state@1 = OH OR ca_state@1 = NJ OR ca_state@1 = WI OR ca_state@1 = CT OR ca_state@1 = KY OR ca_state@1 = LA OR ca_state@1 = IA OR ca_state@1 = AR), projection=[ca_address_sk@0, ca_state@1]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_state, ca_country], file_type=parquet, predicate=ca_country@10 = United States AND ca_state@8 IN (SET) ([IN, OH, NJ, WI, CT, KY, LA, IA, AR]) AND (ca_state@8 = IN OR ca_state@8 = OH OR ca_state@8 = NJ OR ca_state@8 = WI OR ca_state@8 = CT OR ca_state@8 = KY OR ca_state@8 = LA OR ca_state@8 = IA OR ca_state@8 = AR), pruning_predicate=ca_country_null_count@2 != row_count@3 AND ca_country_min@0 <= United States AND United States <= ca_country_max@1 AND (ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= IN AND IN <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= OH AND OH <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= NJ AND NJ <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= WI AND WI <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= CT AND CT <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= KY AND KY <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= LA AND LA <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= IA AND IA <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= AR AND AR <= ca_state_max@5) AND (ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= IN AND IN <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= OH AND OH <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= NJ AND NJ <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= WI AND WI <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= CT AND CT <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= KY AND KY <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= LA AND LA <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= IA AND IA <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= AR AND AR <= ca_state_max@5), required_guarantees=[ca_country in (United States), ca_state in (AR, CT, IA, IN, KY, LA, NJ, OH, WI)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_state, ca_country], file_type=parquet, predicate=ca_country@10 = United States AND ca_state@8 IN (SET) ([IN, OH, NJ, WI, CT, KY, LA, IA, AR]) AND (ca_state@8 = IN OR ca_state@8 = OH OR ca_state@8 = NJ OR ca_state@8 = WI OR ca_state@8 = CT OR ca_state@8 = KY OR ca_state@8 = LA OR ca_state@8 = IA OR ca_state@8 = AR), pruning_predicate=ca_country_null_count@2 != row_count@3 AND ca_country_min@0 <= United States AND United States <= ca_country_max@1 AND (ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= IN AND IN <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= OH AND OH <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= NJ AND NJ <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= WI AND WI <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= CT AND CT <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= KY AND KY <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= LA AND LA <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= IA AND IA <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= AR AND AR <= ca_state_max@5) AND (ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= IN AND IN <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= OH AND OH <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= NJ AND NJ <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= WI AND WI <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= CT AND CT <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= KY AND KY <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= LA AND LA <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= IA AND IA <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= AR AND AR <= ca_state_max@5), required_guarantees=[ca_country in (United States), ca_state in (AR, CT, IA, IN, KY, LA, NJ, OH, WI)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_state, ca_country], file_type=parquet, predicate=ca_country@10 = United States AND ca_state@8 IN (SET) ([IN, OH, NJ, WI, CT, KY, LA, IA, AR]) AND (ca_state@8 = IN OR ca_state@8 = OH OR ca_state@8 = NJ OR ca_state@8 = WI OR ca_state@8 = CT OR ca_state@8 = KY OR ca_state@8 = LA OR ca_state@8 = IA OR ca_state@8 = AR), pruning_predicate=ca_country_null_count@2 != row_count@3 AND ca_country_min@0 <= United States AND United States <= ca_country_max@1 AND (ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= IN AND IN <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= OH AND OH <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= NJ AND NJ <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= WI AND WI <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= CT AND CT <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= KY AND KY <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= LA AND LA <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= IA AND IA <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= AR AND AR <= ca_state_max@5) AND (ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= IN AND IN <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= OH AND OH <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= NJ AND NJ <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= WI AND WI <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= CT AND CT <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= KY AND KY <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= LA AND LA <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= IA AND IA <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= AR AND AR <= ca_state_max@5), required_guarantees=[ca_country in (United States), ca_state in (AR, CT, IA, IN, KY, LA, NJ, OH, WI)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_state, ca_country], file_type=parquet, predicate=ca_country@10 = United States AND ca_state@8 IN (SET) ([IN, OH, NJ, WI, CT, KY, LA, IA, AR]) AND (ca_state@8 = IN OR ca_state@8 = OH OR ca_state@8 = NJ OR ca_state@8 = WI OR ca_state@8 = CT OR ca_state@8 = KY OR ca_state@8 = LA OR ca_state@8 = IA OR ca_state@8 = AR), pruning_predicate=ca_country_null_count@2 != row_count@3 AND ca_country_min@0 <= United States AND United States <= ca_country_max@1 AND (ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= IN AND IN <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= OH AND OH <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= NJ AND NJ <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= WI AND WI <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= CT AND CT <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= KY AND KY <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= LA AND LA <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= IA AND IA <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= AR AND AR <= ca_state_max@5) AND (ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= IN AND IN <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= OH AND OH <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= NJ AND NJ <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= WI AND WI <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= CT AND CT <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= KY AND KY <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= LA AND LA <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= IA AND IA <= ca_state_max@5 OR ca_state_null_count@6 != row_count@3 AND ca_state_min@4 <= AR AND AR <= ca_state_max@5), required_guarantees=[ca_country in (United States), ca_state in (AR, CT, IA, IN, KY, LA, NJ, OH, WI)]
              └──────────────────────────────────────────────────
              ┌───── Stage 9 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
              │ RepartitionExec: partitioning=Hash([wr_returning_cdemo_sk@4, cd_marital_status@8, cd_education_status@9], 12), input_partitions=3
              │   HashJoinExec: mode=Partitioned, join_type=Inner, on=[(wr_refunded_cdemo_sk@4, cd_demo_sk@0)], filter=cd_marital_status@1 = M AND cd_education_status@2 = Advanced Degree AND ws_sales_price@0 >= Some(10000),7,2 AND ws_sales_price@0 <= Some(15000),7,2 OR cd_marital_status@1 = S AND cd_education_status@2 = College AND ws_sales_price@0 >= Some(5000),7,2 AND ws_sales_price@0 <= Some(10000),7,2 OR cd_marital_status@1 = W AND cd_education_status@2 = 2 yr Degree AND ws_sales_price@0 >= Some(15000),7,2 AND ws_sales_price@0 <= Some(20000),7,2, projection=[ws_sold_date_sk@0, ws_quantity@1, ws_net_profit@3, wr_refunded_addr_sk@5, wr_returning_cdemo_sk@6, wr_reason_sk@7, wr_fee@8, wr_refunded_cash@9, cd_marital_status@11, cd_education_status@12]
              │     [Stage 7] => NetworkShuffleExec: output_partitions=3, input_tasks=4
              │     [Stage 8] => NetworkShuffleExec: output_partitions=3, input_tasks=4
              └──────────────────────────────────────────────────
                ┌───── Stage 7 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
                │ RepartitionExec: partitioning=Hash([wr_refunded_cdemo_sk@4], 12), input_partitions=3
                │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(wp_web_page_sk@0, ws_web_page_sk@1)], projection=[ws_sold_date_sk@1, ws_quantity@3, ws_sales_price@4, ws_net_profit@5, wr_refunded_cdemo_sk@6, wr_refunded_addr_sk@7, wr_returning_cdemo_sk@8, wr_reason_sk@9, wr_fee@10, wr_refunded_cash@11]
                │     CoalescePartitionsExec
                │       [Stage 4] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
                │     HashJoinExec: mode=Partitioned, join_type=Inner, on=[(wr_item_sk@0, ws_item_sk@1), (wr_order_number@5, ws_order_number@3)], projection=[ws_sold_date_sk@8, ws_web_page_sk@10, ws_quantity@12, ws_sales_price@13, ws_net_profit@14, wr_refunded_cdemo_sk@1, wr_refunded_addr_sk@2, wr_returning_cdemo_sk@3, wr_reason_sk@4, wr_fee@6, wr_refunded_cash@7]
                │       [Stage 5] => NetworkShuffleExec: output_partitions=3, input_tasks=4
                │       [Stage 6] => NetworkShuffleExec: output_partitions=3, input_tasks=4
                └──────────────────────────────────────────────────
                  ┌───── Stage 4 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                  │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                  │   DistributedLeafExec:
                  │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_page/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_page/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_page/part-1.parquet:<int>..<int>]]}, projection=[wp_web_page_sk], file_type=parquet
                  │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_page/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_page/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_page/part-2.parquet:<int>..<int>]]}, projection=[wp_web_page_sk], file_type=parquet
                  │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_page/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_page/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_page/part-3.parquet:<int>..<int>]]}, projection=[wp_web_page_sk], file_type=parquet
                  │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_page/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_page/part-3.parquet:<int>..<int>]]}, projection=[wp_web_page_sk], file_type=parquet
                  └──────────────────────────────────────────────────
                  ┌───── Stage 5 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
                  │ RepartitionExec: partitioning=Hash([wr_item_sk@0, wr_order_number@5], 12), input_partitions=2
                  │   DistributedLeafExec:
                  │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_returns/part-2.parquet:<int>..<int>]]}, projection=[wr_item_sk, wr_refunded_cdemo_sk, wr_refunded_addr_sk, wr_returning_cdemo_sk, wr_reason_sk, wr_order_number, wr_fee, wr_refunded_cash], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                  │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_returns/part-2.parquet:<int>..<int>]]}, projection=[wr_item_sk, wr_refunded_cdemo_sk, wr_refunded_addr_sk, wr_returning_cdemo_sk, wr_reason_sk, wr_order_number, wr_fee, wr_refunded_cash], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                  │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_returns/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_returns/part-3.parquet:<int>..<int>]]}, projection=[wr_item_sk, wr_refunded_cdemo_sk, wr_refunded_addr_sk, wr_returning_cdemo_sk, wr_reason_sk, wr_order_number, wr_fee, wr_refunded_cash], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                  │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_returns/part-3.parquet:<int>..<int>]]}, projection=[wr_item_sk, wr_refunded_cdemo_sk, wr_refunded_addr_sk, wr_returning_cdemo_sk, wr_reason_sk, wr_order_number, wr_fee, wr_refunded_cash], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                  └──────────────────────────────────────────────────
                  ┌───── Stage 6 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
                  │ RepartitionExec: partitioning=Hash([ws_item_sk@1, ws_order_number@3], 12), input_partitions=3
                  │   FilterExec: (ws_net_profit@6 >= Some(10000),7,2 AND ws_net_profit@6 <= Some(20000),7,2 OR ws_net_profit@6 >= Some(15000),7,2 AND ws_net_profit@6 <= Some(30000),7,2 OR ws_net_profit@6 >= Some(5000),7,2 AND ws_net_profit@6 <= Some(25000),7,2) AND (ws_sales_price@5 >= Some(10000),7,2 AND ws_sales_price@5 <= Some(15000),7,2 OR ws_sales_price@5 >= Some(5000),7,2 AND ws_sales_price@5 <= Some(10000),7,2 OR ws_sales_price@5 >= Some(15000),7,2 AND ws_sales_price@5 <= Some(20000),7,2)
                  │     DistributedLeafExec:
                  │       t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_web_page_sk, ws_order_number, ws_quantity, ws_sales_price, ws_net_profit], file_type=parquet, predicate=(ws_net_profit@33 >= Some(10000),7,2 AND ws_net_profit@33 <= Some(20000),7,2 OR ws_net_profit@33 >= Some(15000),7,2 AND ws_net_profit@33 <= Some(30000),7,2 OR ws_net_profit@33 >= Some(5000),7,2 AND ws_net_profit@33 <= Some(25000),7,2) AND (ws_sales_price@21 >= Some(10000),7,2 AND ws_sales_price@21 <= Some(15000),7,2 OR ws_sales_price@21 >= Some(5000),7,2 AND ws_sales_price@21 <= Some(10000),7,2 OR ws_sales_price@21 >= Some(15000),7,2 AND ws_sales_price@21 <= Some(20000),7,2) AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ], pruning_predicate=(ws_net_profit_null_count@1 != row_count@2 AND ws_net_profit_max@0 >= Some(10000),7,2 AND ws_net_profit_null_count@1 != row_count@2 AND ws_net_profit_min@3 <= Some(20000),7,2 OR ws_net_profit_null_count@1 != row_count@2 AND ws_net_profit_max@0 >= Some(15000),7,2 AND ws_net_profit_null_count@1 != row_count@2 AND ws_net_profit_min@3 <= Some(30000),7,2 OR ws_net_profit_null_count@1 != row_count@2 AND ws_net_profit_max@0 >= Some(5000),7,2 AND ws_net_profit_null_count@1 != row_count@2 AND ws_net_profit_min@3 <= Some(25000),7,2) AND (ws_sales_price_null_count@5 != row_count@2 AND ws_sales_price_max@4 >= Some(10000),7,2 AND ws_sales_price_null_count@5 != row_count@2 AND ws_sales_price_min@6 <= Some(15000),7,2 OR ws_sales_price_null_count@5 != row_count@2 AND ws_sales_price_max@4 >= Some(5000),7,2 AND ws_sales_price_null_count@5 != row_count@2 AND ws_sales_price_min@6 <= Some(10000),7,2 OR ws_sales_price_null_count@5 != row_count@2 AND ws_sales_price_max@4 >= Some(15000),7,2 AND ws_sales_price_null_count@5 != row_count@2 AND ws_sales_price_min@6 <= Some(20000),7,2), required_guarantees=[]
                  │       t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_web_page_sk, ws_order_number, ws_quantity, ws_sales_price, ws_net_profit], file_type=parquet, predicate=(ws_net_profit@33 >= Some(10000),7,2 AND ws_net_profit@33 <= Some(20000),7,2 OR ws_net_profit@33 >= Some(15000),7,2 AND ws_net_profit@33 <= Some(30000),7,2 OR ws_net_profit@33 >= Some(5000),7,2 AND ws_net_profit@33 <= Some(25000),7,2) AND (ws_sales_price@21 >= Some(10000),7,2 AND ws_sales_price@21 <= Some(15000),7,2 OR ws_sales_price@21 >= Some(5000),7,2 AND ws_sales_price@21 <= Some(10000),7,2 OR ws_sales_price@21 >= Some(15000),7,2 AND ws_sales_price@21 <= Some(20000),7,2) AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ], pruning_predicate=(ws_net_profit_null_count@1 != row_count@2 AND ws_net_profit_max@0 >= Some(10000),7,2 AND ws_net_profit_null_count@1 != row_count@2 AND ws_net_profit_min@3 <= Some(20000),7,2 OR ws_net_profit_null_count@1 != row_count@2 AND ws_net_profit_max@0 >= Some(15000),7,2 AND ws_net_profit_null_count@1 != row_count@2 AND ws_net_profit_min@3 <= Some(30000),7,2 OR ws_net_profit_null_count@1 != row_count@2 AND ws_net_profit_max@0 >= Some(5000),7,2 AND ws_net_profit_null_count@1 != row_count@2 AND ws_net_profit_min@3 <= Some(25000),7,2) AND (ws_sales_price_null_count@5 != row_count@2 AND ws_sales_price_max@4 >= Some(10000),7,2 AND ws_sales_price_null_count@5 != row_count@2 AND ws_sales_price_min@6 <= Some(15000),7,2 OR ws_sales_price_null_count@5 != row_count@2 AND ws_sales_price_max@4 >= Some(5000),7,2 AND ws_sales_price_null_count@5 != row_count@2 AND ws_sales_price_min@6 <= Some(10000),7,2 OR ws_sales_price_null_count@5 != row_count@2 AND ws_sales_price_max@4 >= Some(15000),7,2 AND ws_sales_price_null_count@5 != row_count@2 AND ws_sales_price_min@6 <= Some(20000),7,2), required_guarantees=[]
                  │       t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_web_page_sk, ws_order_number, ws_quantity, ws_sales_price, ws_net_profit], file_type=parquet, predicate=(ws_net_profit@33 >= Some(10000),7,2 AND ws_net_profit@33 <= Some(20000),7,2 OR ws_net_profit@33 >= Some(15000),7,2 AND ws_net_profit@33 <= Some(30000),7,2 OR ws_net_profit@33 >= Some(5000),7,2 AND ws_net_profit@33 <= Some(25000),7,2) AND (ws_sales_price@21 >= Some(10000),7,2 AND ws_sales_price@21 <= Some(15000),7,2 OR ws_sales_price@21 >= Some(5000),7,2 AND ws_sales_price@21 <= Some(10000),7,2 OR ws_sales_price@21 >= Some(15000),7,2 AND ws_sales_price@21 <= Some(20000),7,2) AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ], pruning_predicate=(ws_net_profit_null_count@1 != row_count@2 AND ws_net_profit_max@0 >= Some(10000),7,2 AND ws_net_profit_null_count@1 != row_count@2 AND ws_net_profit_min@3 <= Some(20000),7,2 OR ws_net_profit_null_count@1 != row_count@2 AND ws_net_profit_max@0 >= Some(15000),7,2 AND ws_net_profit_null_count@1 != row_count@2 AND ws_net_profit_min@3 <= Some(30000),7,2 OR ws_net_profit_null_count@1 != row_count@2 AND ws_net_profit_max@0 >= Some(5000),7,2 AND ws_net_profit_null_count@1 != row_count@2 AND ws_net_profit_min@3 <= Some(25000),7,2) AND (ws_sales_price_null_count@5 != row_count@2 AND ws_sales_price_max@4 >= Some(10000),7,2 AND ws_sales_price_null_count@5 != row_count@2 AND ws_sales_price_min@6 <= Some(15000),7,2 OR ws_sales_price_null_count@5 != row_count@2 AND ws_sales_price_max@4 >= Some(5000),7,2 AND ws_sales_price_null_count@5 != row_count@2 AND ws_sales_price_min@6 <= Some(10000),7,2 OR ws_sales_price_null_count@5 != row_count@2 AND ws_sales_price_max@4 >= Some(15000),7,2 AND ws_sales_price_null_count@5 != row_count@2 AND ws_sales_price_min@6 <= Some(20000),7,2), required_guarantees=[]
                  │       t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_web_page_sk, ws_order_number, ws_quantity, ws_sales_price, ws_net_profit], file_type=parquet, predicate=(ws_net_profit@33 >= Some(10000),7,2 AND ws_net_profit@33 <= Some(20000),7,2 OR ws_net_profit@33 >= Some(15000),7,2 AND ws_net_profit@33 <= Some(30000),7,2 OR ws_net_profit@33 >= Some(5000),7,2 AND ws_net_profit@33 <= Some(25000),7,2) AND (ws_sales_price@21 >= Some(10000),7,2 AND ws_sales_price@21 <= Some(15000),7,2 OR ws_sales_price@21 >= Some(5000),7,2 AND ws_sales_price@21 <= Some(10000),7,2 OR ws_sales_price@21 >= Some(15000),7,2 AND ws_sales_price@21 <= Some(20000),7,2) AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ], pruning_predicate=(ws_net_profit_null_count@1 != row_count@2 AND ws_net_profit_max@0 >= Some(10000),7,2 AND ws_net_profit_null_count@1 != row_count@2 AND ws_net_profit_min@3 <= Some(20000),7,2 OR ws_net_profit_null_count@1 != row_count@2 AND ws_net_profit_max@0 >= Some(15000),7,2 AND ws_net_profit_null_count@1 != row_count@2 AND ws_net_profit_min@3 <= Some(30000),7,2 OR ws_net_profit_null_count@1 != row_count@2 AND ws_net_profit_max@0 >= Some(5000),7,2 AND ws_net_profit_null_count@1 != row_count@2 AND ws_net_profit_min@3 <= Some(25000),7,2) AND (ws_sales_price_null_count@5 != row_count@2 AND ws_sales_price_max@4 >= Some(10000),7,2 AND ws_sales_price_null_count@5 != row_count@2 AND ws_sales_price_min@6 <= Some(15000),7,2 OR ws_sales_price_null_count@5 != row_count@2 AND ws_sales_price_max@4 >= Some(5000),7,2 AND ws_sales_price_null_count@5 != row_count@2 AND ws_sales_price_min@6 <= Some(10000),7,2 OR ws_sales_price_null_count@5 != row_count@2 AND ws_sales_price_max@4 >= Some(15000),7,2 AND ws_sales_price_null_count@5 != row_count@2 AND ws_sales_price_min@6 <= Some(20000),7,2), required_guarantees=[]
                  └──────────────────────────────────────────────────
                ┌───── Stage 8 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
                │ RepartitionExec: partitioning=Hash([cd_demo_sk@0], 12), input_partitions=3
                │   FilterExec: cd_marital_status@1 = M AND cd_education_status@2 = Advanced Degree OR cd_marital_status@1 = S AND cd_education_status@2 = College OR cd_marital_status@1 = W AND cd_education_status@2 = 2 yr Degree
                │     DistributedLeafExec:
                │       t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_marital_status, cd_education_status], file_type=parquet, predicate=(cd_marital_status@2 = M AND cd_education_status@3 = Advanced Degree OR cd_marital_status@2 = S AND cd_education_status@3 = College OR cd_marital_status@2 = W AND cd_education_status@3 = 2 yr Degree) AND DynamicFilter [ empty ], pruning_predicate=cd_marital_status_null_count@2 != row_count@3 AND cd_marital_status_min@0 <= M AND M <= cd_marital_status_max@1 AND cd_education_status_null_count@6 != row_count@3 AND cd_education_status_min@4 <= Advanced Degree AND Advanced Degree <= cd_education_status_max@5 OR cd_marital_status_null_count@2 != row_count@3 AND cd_marital_status_min@0 <= S AND S <= cd_marital_status_max@1 AND cd_education_status_null_count@6 != row_count@3 AND cd_education_status_min@4 <= College AND College <= cd_education_status_max@5 OR cd_marital_status_null_count@2 != row_count@3 AND cd_marital_status_min@0 <= W AND W <= cd_marital_status_max@1 AND cd_education_status_null_count@6 != row_count@3 AND cd_education_status_min@4 <= 2 yr Degree AND 2 yr Degree <= cd_education_status_max@5, required_guarantees=[cd_education_status in (2 yr Degree, Advanced Degree, College), cd_marital_status in (M, S, W)]
                │       t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-3.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_marital_status, cd_education_status], file_type=parquet, predicate=(cd_marital_status@2 = M AND cd_education_status@3 = Advanced Degree OR cd_marital_status@2 = S AND cd_education_status@3 = College OR cd_marital_status@2 = W AND cd_education_status@3 = 2 yr Degree) AND DynamicFilter [ empty ], pruning_predicate=cd_marital_status_null_count@2 != row_count@3 AND cd_marital_status_min@0 <= M AND M <= cd_marital_status_max@1 AND cd_education_status_null_count@6 != row_count@3 AND cd_education_status_min@4 <= Advanced Degree AND Advanced Degree <= cd_education_status_max@5 OR cd_marital_status_null_count@2 != row_count@3 AND cd_marital_status_min@0 <= S AND S <= cd_marital_status_max@1 AND cd_education_status_null_count@6 != row_count@3 AND cd_education_status_min@4 <= College AND College <= cd_education_status_max@5 OR cd_marital_status_null_count@2 != row_count@3 AND cd_marital_status_min@0 <= W AND W <= cd_marital_status_max@1 AND cd_education_status_null_count@6 != row_count@3 AND cd_education_status_min@4 <= 2 yr Degree AND 2 yr Degree <= cd_education_status_max@5, required_guarantees=[cd_education_status in (2 yr Degree, Advanced Degree, College), cd_marital_status in (M, S, W)]
                │       t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-3.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_marital_status, cd_education_status], file_type=parquet, predicate=(cd_marital_status@2 = M AND cd_education_status@3 = Advanced Degree OR cd_marital_status@2 = S AND cd_education_status@3 = College OR cd_marital_status@2 = W AND cd_education_status@3 = 2 yr Degree) AND DynamicFilter [ empty ], pruning_predicate=cd_marital_status_null_count@2 != row_count@3 AND cd_marital_status_min@0 <= M AND M <= cd_marital_status_max@1 AND cd_education_status_null_count@6 != row_count@3 AND cd_education_status_min@4 <= Advanced Degree AND Advanced Degree <= cd_education_status_max@5 OR cd_marital_status_null_count@2 != row_count@3 AND cd_marital_status_min@0 <= S AND S <= cd_marital_status_max@1 AND cd_education_status_null_count@6 != row_count@3 AND cd_education_status_min@4 <= College AND College <= cd_education_status_max@5 OR cd_marital_status_null_count@2 != row_count@3 AND cd_marital_status_min@0 <= W AND W <= cd_marital_status_max@1 AND cd_education_status_null_count@6 != row_count@3 AND cd_education_status_min@4 <= 2 yr Degree AND 2 yr Degree <= cd_education_status_max@5, required_guarantees=[cd_education_status in (2 yr Degree, Advanced Degree, College), cd_marital_status in (M, S, W)]
                │       t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-3.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_marital_status, cd_education_status], file_type=parquet, predicate=(cd_marital_status@2 = M AND cd_education_status@3 = Advanced Degree OR cd_marital_status@2 = S AND cd_education_status@3 = College OR cd_marital_status@2 = W AND cd_education_status@3 = 2 yr Degree) AND DynamicFilter [ empty ], pruning_predicate=cd_marital_status_null_count@2 != row_count@3 AND cd_marital_status_min@0 <= M AND M <= cd_marital_status_max@1 AND cd_education_status_null_count@6 != row_count@3 AND cd_education_status_min@4 <= Advanced Degree AND Advanced Degree <= cd_education_status_max@5 OR cd_marital_status_null_count@2 != row_count@3 AND cd_marital_status_min@0 <= S AND S <= cd_marital_status_max@1 AND cd_education_status_null_count@6 != row_count@3 AND cd_education_status_min@4 <= College AND College <= cd_education_status_max@5 OR cd_marital_status_null_count@2 != row_count@3 AND cd_marital_status_min@0 <= W AND W <= cd_marital_status_max@1 AND cd_education_status_null_count@6 != row_count@3 AND cd_education_status_min@4 <= 2 yr Degree AND 2 yr Degree <= cd_education_status_max@5, required_guarantees=[cd_education_status in (2 yr Degree, Advanced Degree, College), cd_marital_status in (M, S, W)]
                └──────────────────────────────────────────────────
              ┌───── Stage 10 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
              │ RepartitionExec: partitioning=Hash([cd_demo_sk@0, cd_marital_status@1, cd_education_status@2], 12), input_partitions=3
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_marital_status, cd_education_status], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-3.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_marital_status, cd_education_status], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-3.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_marital_status, cd_education_status], file_type=parquet, predicate=DynamicFilter [ empty ]
              │     t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-3.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_marital_status, cd_education_status], file_type=parquet, predicate=DynamicFilter [ empty ]
              └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    #[ignore = "Flaky plan: q86's ROLLUP emits two `grouping()` columns in non-deterministic order (HashMap-driven projection layout), so column indices @5/@6 swap run-to-run. Snapshot regen alone won't stabilize it."]
    async fn test_tpcds_86() -> Result<()> {
        let display = test_tpcds_query("q86").await?;
        assert_snapshot!(display, @r#"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ ProjectionExec: expr=[total_sum@0 as total_sum, i_category@1 as i_category, i_class@2 as i_class, lochierarchy@3 as lochierarchy, rank_within_parent@4 as rank_within_parent]
        │   SortPreservingMergeExec: [lochierarchy@3 DESC, CASE WHEN grouping(item.i_category)@6 + grouping(item.i_class)@5 = 0 THEN i_category@1 END ASC, rank_within_parent@4 ASC], fetch=100
        │     SortExec: TopK(fetch=100), expr=[lochierarchy@3 DESC, CASE WHEN grouping(item.i_category)@6 + grouping(item.i_class)@5 = 0 THEN i_category@1 END ASC, rank_within_parent@4 ASC], preserve_partitioning=[true]
        │       ProjectionExec: expr=[sum(web_sales.ws_net_paid)@2 as total_sum, i_category@0 as i_category, i_class@1 as i_class, grouping(item.i_category)@3 + grouping(item.i_class)@4 as lochierarchy, rank() PARTITION BY [grouping(item.i_category) + grouping(item.i_class), CASE WHEN grouping(item.i_class) = Int64(0) THEN item.i_category END] ORDER BY [sum(web_sales.ws_net_paid) DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@5 as rank_within_parent, grouping(item.i_class)@4 as grouping(item.i_class), grouping(item.i_category)@3 as grouping(item.i_category)]
        │         BoundedWindowAggExec: wdw=[rank() PARTITION BY [grouping(item.i_category) + grouping(item.i_class), CASE WHEN grouping(item.i_class) = Int64(0) THEN item.i_category END] ORDER BY [sum(web_sales.ws_net_paid) DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Field { "rank() PARTITION BY [grouping(item.i_category) + grouping(item.i_class), CASE WHEN grouping(item.i_class) = Int64(0) THEN item.i_category END] ORDER BY [sum(web_sales.ws_net_paid) DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW": UInt64 }, frame: RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW], mode=[Sorted]
        │           SortExec: expr=[grouping(item.i_category)@3 + grouping(item.i_class)@4 ASC NULLS LAST, CASE WHEN grouping(item.i_class)@4 = 0 THEN i_category@0 END ASC NULLS LAST, sum(web_sales.ws_net_paid)@2 DESC], preserve_partitioning=[true]
        │             [Stage 4] => NetworkShuffleExec: output_partitions=3, input_tasks=2
        └──────────────────────────────────────────────────
          ┌───── Stage 4 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ RepartitionExec: partitioning=Hash([grouping(item.i_category)@3 + grouping(item.i_class)@4, CASE WHEN grouping(item.i_class)@4 = 0 THEN i_category@0 END], 3), input_partitions=3
          │   ProjectionExec: expr=[i_category@0 as i_category, i_class@1 as i_class, sum(web_sales.ws_net_paid)@3 as sum(web_sales.ws_net_paid), CAST(__grouping_id@2 & 2 >> 1 AS Int32) as grouping(item.i_category), CAST(__grouping_id@2 & 1 AS Int32) as grouping(item.i_class)]
          │     AggregateExec: mode=FinalPartitioned, gby=[i_category@0 as i_category, i_class@1 as i_class, __grouping_id@2 as __grouping_id], aggr=[sum(web_sales.ws_net_paid)]
          │       [Stage 3] => NetworkShuffleExec: output_partitions=3, input_tasks=3
          └──────────────────────────────────────────────────
            ┌───── Stage 3 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5]
            │ RepartitionExec: partitioning=Hash([i_category@0, i_class@1, __grouping_id@2], 6), input_partitions=2
            │   AggregateExec: mode=Partial, gby=[(NULL as i_category, NULL as i_class), (i_category@2 as i_category, NULL as i_class), (i_category@2 as i_category, i_class@1 as i_class)], aggr=[sum(web_sales.ws_net_paid)]
            │     ProjectionExec: expr=[ws_net_paid@2 as ws_net_paid, i_class@0 as i_class, i_category@1 as i_category]
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, ws_item_sk@0)], projection=[i_class@1, i_category@2, ws_net_paid@4]
            │         CoalescePartitionsExec
            │           [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=6, input_tasks=2
            │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ws_sold_date_sk@0)], projection=[ws_item_sk@2, ws_net_paid@3]
            │           CoalescePartitionsExec
            │             [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=9, input_tasks=2
            │           PartitionIsolatorExec: tasks=3 partitions=6
            │             DataSourceExec: file_groups={6 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], ...]}, projection=[ws_sold_date_sk, ws_item_sk, ws_net_paid], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 1 ── Tasks: t0:[p0..p5] t1:[p6..p11]
              │ BroadcastExec: input_partitions=2, consumer_tasks=3, output_partitions=6
              │   PartitionIsolatorExec: tasks=2 partitions=4
              │     DataSourceExec: file_groups={4 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet], [/testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet], [/testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet]]}, projection=[i_item_sk, i_class, i_category], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 2 ── Tasks: t0:[p0..p8] t1:[p9..p17]
              │ BroadcastExec: input_partitions=3, consumer_tasks=3, output_partitions=9
              │   FilterExec: d_month_seq@1 >= 1200 AND d_month_seq@1 <= 1211, projection=[d_date_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       PartitionIsolatorExec: tasks=2 partitions=4
              │         DataSourceExec: file_groups={4 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet]]}, projection=[d_date_sk, d_month_seq], file_type=parquet, predicate=d_month_seq@3 >= 1200 AND d_month_seq@3 <= 1211, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1200 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1211, required_guarantees=[]
              └──────────────────────────────────────────────────
        "#);
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_87() -> Result<()> {
        let display = test_tpcds_query("q87").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ ProjectionExec: expr=[count(Int64(1))@0 as count(*)]
        │   AggregateExec: mode=Final, gby=[], aggr=[count(Int64(1))]
        │     CoalescePartitionsExec
        │       [Stage 10] => NetworkCoalesceExec: output_partitions=6, input_tasks=2
        └──────────────────────────────────────────────────
          ┌───── Stage 10 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ AggregateExec: mode=Partial, gby=[], aggr=[count(Int64(1))]
          │   HashJoinExec: mode=Partitioned, join_type=RightAnti, on=[(c_last_name@0, c_last_name@0), (c_first_name@1, c_first_name@1), (d_date@2, d_date@2)], projection=[], NullsEqual: true
          │     AggregateExec: mode=FinalPartitioned, gby=[c_last_name@0 as c_last_name, c_first_name@1 as c_first_name, d_date@2 as d_date], aggr=[]
          │       [Stage 3] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          │     AggregateExec: mode=SinglePartitioned, gby=[c_last_name@0 as c_last_name, c_first_name@1 as c_first_name, d_date@2 as d_date], aggr=[]
          │       HashJoinExec: mode=Partitioned, join_type=RightAnti, on=[(c_last_name@0, c_last_name@0), (c_first_name@1, c_first_name@1), (d_date@2, d_date@2)], NullsEqual: true
          │         AggregateExec: mode=FinalPartitioned, gby=[c_last_name@0 as c_last_name, c_first_name@1 as c_first_name, d_date@2 as d_date], aggr=[]
          │           [Stage 6] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          │         AggregateExec: mode=SinglePartitioned, gby=[c_last_name@0 as c_last_name, c_first_name@1 as c_first_name, d_date@2 as d_date], aggr=[]
          │           AggregateExec: mode=FinalPartitioned, gby=[c_last_name@0 as c_last_name, c_first_name@1 as c_first_name, d_date@2 as d_date], aggr=[]
          │             [Stage 9] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 3 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([c_last_name@0, c_first_name@1, d_date@2], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[c_last_name@0 as c_last_name, c_first_name@1 as c_first_name, d_date@2 as d_date], aggr=[]
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(c_customer_sk@0, ws_bill_customer_sk@0)], projection=[c_last_name@2, c_first_name@1, d_date@4]
            │       CoalescePartitionsExec
            │         [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ws_sold_date_sk@0)], projection=[ws_bill_customer_sk@3, d_date@1]
            │         CoalescePartitionsExec
            │           [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │         DistributedLeafExec:
            │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_bill_customer_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_bill_customer_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_bill_customer_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_bill_customer_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 1 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_first_name, c_last_name], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_first_name, c_last_name], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_first_name, c_last_name], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_first_name, c_last_name], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 2 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_month_seq@2 >= 1200 AND d_month_seq@2 <= 1211, projection=[d_date_sk@0, d_date@1]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date, d_month_seq], file_type=parquet, predicate=d_month_seq@3 >= 1200 AND d_month_seq@3 <= 1211, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1200 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1211, required_guarantees=[]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date, d_month_seq], file_type=parquet, predicate=d_month_seq@3 >= 1200 AND d_month_seq@3 <= 1211, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1200 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1211, required_guarantees=[]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date, d_month_seq], file_type=parquet, predicate=d_month_seq@3 >= 1200 AND d_month_seq@3 <= 1211, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1200 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1211, required_guarantees=[]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date, d_month_seq], file_type=parquet, predicate=d_month_seq@3 >= 1200 AND d_month_seq@3 <= 1211, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1200 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1211, required_guarantees=[]
              └──────────────────────────────────────────────────
            ┌───── Stage 6 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([c_last_name@0, c_first_name@1, d_date@2], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[c_last_name@0 as c_last_name, c_first_name@1 as c_first_name, d_date@2 as d_date], aggr=[]
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(c_customer_sk@0, cs_bill_customer_sk@0)], projection=[c_last_name@2, c_first_name@1, d_date@4]
            │       CoalescePartitionsExec
            │         [Stage 4] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, cs_sold_date_sk@0)], projection=[cs_bill_customer_sk@3, d_date@1]
            │         CoalescePartitionsExec
            │           [Stage 5] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │         DistributedLeafExec:
            │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_bill_customer_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_bill_customer_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_bill_customer_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_bill_customer_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 4 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_first_name, c_last_name], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_first_name, c_last_name], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_first_name, c_last_name], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_first_name, c_last_name], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 5 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_month_seq@2 >= 1200 AND d_month_seq@2 <= 1211, projection=[d_date_sk@0, d_date@1]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date, d_month_seq], file_type=parquet, predicate=d_month_seq@3 >= 1200 AND d_month_seq@3 <= 1211, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1200 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1211, required_guarantees=[]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date, d_month_seq], file_type=parquet, predicate=d_month_seq@3 >= 1200 AND d_month_seq@3 <= 1211, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1200 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1211, required_guarantees=[]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date, d_month_seq], file_type=parquet, predicate=d_month_seq@3 >= 1200 AND d_month_seq@3 <= 1211, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1200 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1211, required_guarantees=[]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date, d_month_seq], file_type=parquet, predicate=d_month_seq@3 >= 1200 AND d_month_seq@3 <= 1211, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1200 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1211, required_guarantees=[]
              └──────────────────────────────────────────────────
            ┌───── Stage 9 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([c_last_name@0, c_first_name@1, d_date@2], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[c_last_name@0 as c_last_name, c_first_name@1 as c_first_name, d_date@2 as d_date], aggr=[]
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(c_customer_sk@0, ss_customer_sk@0)], projection=[c_last_name@2, c_first_name@1, d_date@4]
            │       CoalescePartitionsExec
            │         [Stage 7] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[ss_customer_sk@3, d_date@1]
            │         CoalescePartitionsExec
            │           [Stage 8] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │         DistributedLeafExec:
            │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_customer_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_customer_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_customer_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_customer_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 7 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_first_name, c_last_name], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_first_name, c_last_name], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_first_name, c_last_name], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_first_name, c_last_name], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 8 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_month_seq@2 >= 1200 AND d_month_seq@2 <= 1211, projection=[d_date_sk@0, d_date@1]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date, d_month_seq], file_type=parquet, predicate=d_month_seq@3 >= 1200 AND d_month_seq@3 <= 1211, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1200 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1211, required_guarantees=[]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date, d_month_seq], file_type=parquet, predicate=d_month_seq@3 >= 1200 AND d_month_seq@3 <= 1211, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1200 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1211, required_guarantees=[]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date, d_month_seq], file_type=parquet, predicate=d_month_seq@3 >= 1200 AND d_month_seq@3 <= 1211, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1200 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1211, required_guarantees=[]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date, d_month_seq], file_type=parquet, predicate=d_month_seq@3 >= 1200 AND d_month_seq@3 <= 1211, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1200 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1211, required_guarantees=[]
              └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_88() -> Result<()> {
        let display = test_tpcds_query("q88").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ ProjectionExec: expr=[h8_30_to_9@1 as h8_30_to_9, h9_to_9_30@2 as h9_to_9_30, h9_30_to_10@3 as h9_30_to_10, h10_to_10_30@4 as h10_to_10_30, h10_30_to_11@5 as h10_30_to_11, h11_to_11_30@6 as h11_to_11_30, h11_30_to_12@7 as h11_30_to_12, h12_to_12_30@0 as h12_to_12_30]
        │   CrossJoinExec
        │     CoalescePartitionsExec
        │       BroadcastExec: input_partitions=1, consumer_tasks=1, output_partitions=1
        │         ProjectionExec: expr=[count(Int64(1))@0 as h12_to_12_30]
        │           AggregateExec: mode=Final, gby=[], aggr=[count(Int64(1))]
        │             CoalescePartitionsExec
        │               [Stage 4] => NetworkCoalesceExec: output_partitions=12, input_tasks=4
        │     ProjectionExec: expr=[h8_30_to_9@1 as h8_30_to_9, h9_to_9_30@2 as h9_to_9_30, h9_30_to_10@3 as h9_30_to_10, h10_to_10_30@4 as h10_to_10_30, h10_30_to_11@5 as h10_30_to_11, h11_to_11_30@6 as h11_to_11_30, h11_30_to_12@0 as h11_30_to_12]
        │       CrossJoinExec
        │         CoalescePartitionsExec
        │           BroadcastExec: input_partitions=1, consumer_tasks=1, output_partitions=1
        │             ProjectionExec: expr=[count(Int64(1))@0 as h11_30_to_12]
        │               AggregateExec: mode=Final, gby=[], aggr=[count(Int64(1))]
        │                 CoalescePartitionsExec
        │                   [Stage 8] => NetworkCoalesceExec: output_partitions=12, input_tasks=4
        │         ProjectionExec: expr=[h8_30_to_9@1 as h8_30_to_9, h9_to_9_30@2 as h9_to_9_30, h9_30_to_10@3 as h9_30_to_10, h10_to_10_30@4 as h10_to_10_30, h10_30_to_11@5 as h10_30_to_11, h11_to_11_30@0 as h11_to_11_30]
        │           CrossJoinExec
        │             CoalescePartitionsExec
        │               BroadcastExec: input_partitions=1, consumer_tasks=1, output_partitions=1
        │                 ProjectionExec: expr=[count(Int64(1))@0 as h11_to_11_30]
        │                   AggregateExec: mode=Final, gby=[], aggr=[count(Int64(1))]
        │                     CoalescePartitionsExec
        │                       [Stage 12] => NetworkCoalesceExec: output_partitions=12, input_tasks=4
        │             ProjectionExec: expr=[h8_30_to_9@1 as h8_30_to_9, h9_to_9_30@2 as h9_to_9_30, h9_30_to_10@3 as h9_30_to_10, h10_to_10_30@4 as h10_to_10_30, h10_30_to_11@0 as h10_30_to_11]
        │               CrossJoinExec
        │                 CoalescePartitionsExec
        │                   BroadcastExec: input_partitions=1, consumer_tasks=1, output_partitions=1
        │                     ProjectionExec: expr=[count(Int64(1))@0 as h10_30_to_11]
        │                       AggregateExec: mode=Final, gby=[], aggr=[count(Int64(1))]
        │                         CoalescePartitionsExec
        │                           [Stage 16] => NetworkCoalesceExec: output_partitions=12, input_tasks=4
        │                 ProjectionExec: expr=[h8_30_to_9@1 as h8_30_to_9, h9_to_9_30@2 as h9_to_9_30, h9_30_to_10@3 as h9_30_to_10, h10_to_10_30@0 as h10_to_10_30]
        │                   CrossJoinExec
        │                     CoalescePartitionsExec
        │                       BroadcastExec: input_partitions=1, consumer_tasks=1, output_partitions=1
        │                         ProjectionExec: expr=[count(Int64(1))@0 as h10_to_10_30]
        │                           AggregateExec: mode=Final, gby=[], aggr=[count(Int64(1))]
        │                             CoalescePartitionsExec
        │                               [Stage 20] => NetworkCoalesceExec: output_partitions=12, input_tasks=4
        │                     ProjectionExec: expr=[h8_30_to_9@1 as h8_30_to_9, h9_to_9_30@2 as h9_to_9_30, h9_30_to_10@0 as h9_30_to_10]
        │                       CrossJoinExec
        │                         CoalescePartitionsExec
        │                           BroadcastExec: input_partitions=1, consumer_tasks=1, output_partitions=1
        │                             ProjectionExec: expr=[count(Int64(1))@0 as h9_30_to_10]
        │                               AggregateExec: mode=Final, gby=[], aggr=[count(Int64(1))]
        │                                 CoalescePartitionsExec
        │                                   [Stage 24] => NetworkCoalesceExec: output_partitions=12, input_tasks=4
        │                         CrossJoinExec
        │                           CoalescePartitionsExec
        │                             BroadcastExec: input_partitions=1, consumer_tasks=1, output_partitions=1
        │                               ProjectionExec: expr=[count(Int64(1))@0 as h8_30_to_9]
        │                                 AggregateExec: mode=Final, gby=[], aggr=[count(Int64(1))]
        │                                   CoalescePartitionsExec
        │                                     [Stage 28] => NetworkCoalesceExec: output_partitions=12, input_tasks=4
        │                           ProjectionExec: expr=[count(Int64(1))@0 as h9_to_9_30]
        │                             AggregateExec: mode=Final, gby=[], aggr=[count(Int64(1))]
        │                               CoalescePartitionsExec
        │                                 [Stage 32] => NetworkCoalesceExec: output_partitions=12, input_tasks=4
        └──────────────────────────────────────────────────
          ┌───── Stage 4 ── Tasks: t0:[p0..p2] t1:[p3..p5] t2:[p6..p8] t3:[p9..p11]
          │ AggregateExec: mode=Partial, gby=[], aggr=[count(Int64(1))]
          │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(s_store_sk@0, ss_store_sk@0)], projection=[]
          │     CoalescePartitionsExec
          │       [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
          │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(t_time_sk@0, ss_sold_time_sk@0)], projection=[ss_store_sk@2]
          │       CoalescePartitionsExec
          │         [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
          │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(hd_demo_sk@0, ss_hdemo_sk@1)], projection=[ss_sold_time_sk@1, ss_store_sk@3]
          │         CoalescePartitionsExec
          │           [Stage 3] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
          │         DistributedLeafExec:
          │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_time_sk, ss_hdemo_sk, ss_store_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          │           t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_time_sk, ss_hdemo_sk, ss_store_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          │           t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_time_sk, ss_hdemo_sk, ss_store_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          │           t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_time_sk, ss_hdemo_sk, ss_store_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          └──────────────────────────────────────────────────
            ┌───── Stage 1 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   FilterExec: s_store_name@1 = ese, projection=[s_store_sk@0]
            │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name], file_type=parquet, predicate=s_store_name@5 = ese, pruning_predicate=s_store_name_null_count@2 != row_count@3 AND s_store_name_min@0 <= ese AND ese <= s_store_name_max@1, required_guarantees=[s_store_name in (ese)]
            │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name], file_type=parquet, predicate=s_store_name@5 = ese, pruning_predicate=s_store_name_null_count@2 != row_count@3 AND s_store_name_min@0 <= ese AND ese <= s_store_name_max@1, required_guarantees=[s_store_name in (ese)]
            │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name], file_type=parquet, predicate=s_store_name@5 = ese, pruning_predicate=s_store_name_null_count@2 != row_count@3 AND s_store_name_min@0 <= ese AND ese <= s_store_name_max@1, required_guarantees=[s_store_name in (ese)]
            │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name], file_type=parquet, predicate=s_store_name@5 = ese, pruning_predicate=s_store_name_null_count@2 != row_count@3 AND s_store_name_min@0 <= ese AND ese <= s_store_name_max@1, required_guarantees=[s_store_name in (ese)]
            └──────────────────────────────────────────────────
            ┌───── Stage 2 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   FilterExec: t_hour@1 = 12 AND t_minute@2 < 30, projection=[t_time_sk@0]
            │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/time_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/time_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/time_dim/part-2.parquet:<int>..<int>]]}, projection=[t_time_sk, t_hour, t_minute], file_type=parquet, predicate=t_hour@3 = 12 AND t_minute@4 < 30, pruning_predicate=t_hour_null_count@2 != row_count@3 AND t_hour_min@0 <= 12 AND 12 <= t_hour_max@1 AND t_minute_null_count@5 != row_count@3 AND t_minute_min@4 < 30, required_guarantees=[t_hour in (12)]
            │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/time_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/time_dim/part-2.parquet:<int>..<int>]]}, projection=[t_time_sk, t_hour, t_minute], file_type=parquet, predicate=t_hour@3 = 12 AND t_minute@4 < 30, pruning_predicate=t_hour_null_count@2 != row_count@3 AND t_hour_min@0 <= 12 AND 12 <= t_hour_max@1 AND t_minute_null_count@5 != row_count@3 AND t_minute_min@4 < 30, required_guarantees=[t_hour in (12)]
            │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/time_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/time_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/time_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/time_dim/part-3.parquet:<int>..<int>]]}, projection=[t_time_sk, t_hour, t_minute], file_type=parquet, predicate=t_hour@3 = 12 AND t_minute@4 < 30, pruning_predicate=t_hour_null_count@2 != row_count@3 AND t_hour_min@0 <= 12 AND 12 <= t_hour_max@1 AND t_minute_null_count@5 != row_count@3 AND t_minute_min@4 < 30, required_guarantees=[t_hour in (12)]
            │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/time_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/time_dim/part-3.parquet:<int>..<int>]]}, projection=[t_time_sk, t_hour, t_minute], file_type=parquet, predicate=t_hour@3 = 12 AND t_minute@4 < 30, pruning_predicate=t_hour_null_count@2 != row_count@3 AND t_hour_min@0 <= 12 AND 12 <= t_hour_max@1 AND t_minute_null_count@5 != row_count@3 AND t_minute_min@4 < 30, required_guarantees=[t_hour in (12)]
            └──────────────────────────────────────────────────
            ┌───── Stage 3 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   FilterExec: hd_dep_count@1 = 4 AND hd_vehicle_count@2 <= 6 OR hd_dep_count@1 = 2 AND hd_vehicle_count@2 <= 4 OR hd_dep_count@1 = 0 AND hd_vehicle_count@2 <= 2, projection=[hd_demo_sk@0]
            │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_dep_count, hd_vehicle_count], file_type=parquet, predicate=hd_dep_count@3 = 4 AND hd_vehicle_count@4 <= 6 OR hd_dep_count@3 = 2 AND hd_vehicle_count@4 <= 4 OR hd_dep_count@3 = 0 AND hd_vehicle_count@4 <= 2, pruning_predicate=hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 4 AND 4 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 6 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 2 AND 2 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 4 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 0 AND 0 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 2, required_guarantees=[hd_dep_count in (0, 2, 4)]
            │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_dep_count, hd_vehicle_count], file_type=parquet, predicate=hd_dep_count@3 = 4 AND hd_vehicle_count@4 <= 6 OR hd_dep_count@3 = 2 AND hd_vehicle_count@4 <= 4 OR hd_dep_count@3 = 0 AND hd_vehicle_count@4 <= 2, pruning_predicate=hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 4 AND 4 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 6 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 2 AND 2 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 4 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 0 AND 0 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 2, required_guarantees=[hd_dep_count in (0, 2, 4)]
            │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_dep_count, hd_vehicle_count], file_type=parquet, predicate=hd_dep_count@3 = 4 AND hd_vehicle_count@4 <= 6 OR hd_dep_count@3 = 2 AND hd_vehicle_count@4 <= 4 OR hd_dep_count@3 = 0 AND hd_vehicle_count@4 <= 2, pruning_predicate=hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 4 AND 4 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 6 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 2 AND 2 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 4 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 0 AND 0 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 2, required_guarantees=[hd_dep_count in (0, 2, 4)]
            │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-3.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_dep_count, hd_vehicle_count], file_type=parquet, predicate=hd_dep_count@3 = 4 AND hd_vehicle_count@4 <= 6 OR hd_dep_count@3 = 2 AND hd_vehicle_count@4 <= 4 OR hd_dep_count@3 = 0 AND hd_vehicle_count@4 <= 2, pruning_predicate=hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 4 AND 4 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 6 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 2 AND 2 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 4 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 0 AND 0 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 2, required_guarantees=[hd_dep_count in (0, 2, 4)]
            └──────────────────────────────────────────────────
          ┌───── Stage 8 ── Tasks: t0:[p0..p2] t1:[p3..p5] t2:[p6..p8] t3:[p9..p11]
          │ AggregateExec: mode=Partial, gby=[], aggr=[count(Int64(1))]
          │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(s_store_sk@0, ss_store_sk@0)], projection=[]
          │     CoalescePartitionsExec
          │       [Stage 5] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
          │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(t_time_sk@0, ss_sold_time_sk@0)], projection=[ss_store_sk@2]
          │       CoalescePartitionsExec
          │         [Stage 6] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
          │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(hd_demo_sk@0, ss_hdemo_sk@1)], projection=[ss_sold_time_sk@1, ss_store_sk@3]
          │         CoalescePartitionsExec
          │           [Stage 7] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
          │         DistributedLeafExec:
          │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_time_sk, ss_hdemo_sk, ss_store_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          │           t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_time_sk, ss_hdemo_sk, ss_store_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          │           t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_time_sk, ss_hdemo_sk, ss_store_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          │           t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_time_sk, ss_hdemo_sk, ss_store_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          └──────────────────────────────────────────────────
            ┌───── Stage 5 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   FilterExec: s_store_name@1 = ese, projection=[s_store_sk@0]
            │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name], file_type=parquet, predicate=s_store_name@5 = ese, pruning_predicate=s_store_name_null_count@2 != row_count@3 AND s_store_name_min@0 <= ese AND ese <= s_store_name_max@1, required_guarantees=[s_store_name in (ese)]
            │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name], file_type=parquet, predicate=s_store_name@5 = ese, pruning_predicate=s_store_name_null_count@2 != row_count@3 AND s_store_name_min@0 <= ese AND ese <= s_store_name_max@1, required_guarantees=[s_store_name in (ese)]
            │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name], file_type=parquet, predicate=s_store_name@5 = ese, pruning_predicate=s_store_name_null_count@2 != row_count@3 AND s_store_name_min@0 <= ese AND ese <= s_store_name_max@1, required_guarantees=[s_store_name in (ese)]
            │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name], file_type=parquet, predicate=s_store_name@5 = ese, pruning_predicate=s_store_name_null_count@2 != row_count@3 AND s_store_name_min@0 <= ese AND ese <= s_store_name_max@1, required_guarantees=[s_store_name in (ese)]
            └──────────────────────────────────────────────────
            ┌───── Stage 6 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   FilterExec: t_hour@1 = 11 AND t_minute@2 >= 30, projection=[t_time_sk@0]
            │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/time_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/time_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/time_dim/part-2.parquet:<int>..<int>]]}, projection=[t_time_sk, t_hour, t_minute], file_type=parquet, predicate=t_hour@3 = 11 AND t_minute@4 >= 30, pruning_predicate=t_hour_null_count@2 != row_count@3 AND t_hour_min@0 <= 11 AND 11 <= t_hour_max@1 AND t_minute_null_count@5 != row_count@3 AND t_minute_max@4 >= 30, required_guarantees=[t_hour in (11)]
            │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/time_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/time_dim/part-2.parquet:<int>..<int>]]}, projection=[t_time_sk, t_hour, t_minute], file_type=parquet, predicate=t_hour@3 = 11 AND t_minute@4 >= 30, pruning_predicate=t_hour_null_count@2 != row_count@3 AND t_hour_min@0 <= 11 AND 11 <= t_hour_max@1 AND t_minute_null_count@5 != row_count@3 AND t_minute_max@4 >= 30, required_guarantees=[t_hour in (11)]
            │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/time_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/time_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/time_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/time_dim/part-3.parquet:<int>..<int>]]}, projection=[t_time_sk, t_hour, t_minute], file_type=parquet, predicate=t_hour@3 = 11 AND t_minute@4 >= 30, pruning_predicate=t_hour_null_count@2 != row_count@3 AND t_hour_min@0 <= 11 AND 11 <= t_hour_max@1 AND t_minute_null_count@5 != row_count@3 AND t_minute_max@4 >= 30, required_guarantees=[t_hour in (11)]
            │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/time_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/time_dim/part-3.parquet:<int>..<int>]]}, projection=[t_time_sk, t_hour, t_minute], file_type=parquet, predicate=t_hour@3 = 11 AND t_minute@4 >= 30, pruning_predicate=t_hour_null_count@2 != row_count@3 AND t_hour_min@0 <= 11 AND 11 <= t_hour_max@1 AND t_minute_null_count@5 != row_count@3 AND t_minute_max@4 >= 30, required_guarantees=[t_hour in (11)]
            └──────────────────────────────────────────────────
            ┌───── Stage 7 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   FilterExec: hd_dep_count@1 = 4 AND hd_vehicle_count@2 <= 6 OR hd_dep_count@1 = 2 AND hd_vehicle_count@2 <= 4 OR hd_dep_count@1 = 0 AND hd_vehicle_count@2 <= 2, projection=[hd_demo_sk@0]
            │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_dep_count, hd_vehicle_count], file_type=parquet, predicate=hd_dep_count@3 = 4 AND hd_vehicle_count@4 <= 6 OR hd_dep_count@3 = 2 AND hd_vehicle_count@4 <= 4 OR hd_dep_count@3 = 0 AND hd_vehicle_count@4 <= 2, pruning_predicate=hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 4 AND 4 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 6 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 2 AND 2 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 4 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 0 AND 0 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 2, required_guarantees=[hd_dep_count in (0, 2, 4)]
            │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_dep_count, hd_vehicle_count], file_type=parquet, predicate=hd_dep_count@3 = 4 AND hd_vehicle_count@4 <= 6 OR hd_dep_count@3 = 2 AND hd_vehicle_count@4 <= 4 OR hd_dep_count@3 = 0 AND hd_vehicle_count@4 <= 2, pruning_predicate=hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 4 AND 4 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 6 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 2 AND 2 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 4 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 0 AND 0 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 2, required_guarantees=[hd_dep_count in (0, 2, 4)]
            │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_dep_count, hd_vehicle_count], file_type=parquet, predicate=hd_dep_count@3 = 4 AND hd_vehicle_count@4 <= 6 OR hd_dep_count@3 = 2 AND hd_vehicle_count@4 <= 4 OR hd_dep_count@3 = 0 AND hd_vehicle_count@4 <= 2, pruning_predicate=hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 4 AND 4 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 6 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 2 AND 2 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 4 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 0 AND 0 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 2, required_guarantees=[hd_dep_count in (0, 2, 4)]
            │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-3.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_dep_count, hd_vehicle_count], file_type=parquet, predicate=hd_dep_count@3 = 4 AND hd_vehicle_count@4 <= 6 OR hd_dep_count@3 = 2 AND hd_vehicle_count@4 <= 4 OR hd_dep_count@3 = 0 AND hd_vehicle_count@4 <= 2, pruning_predicate=hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 4 AND 4 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 6 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 2 AND 2 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 4 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 0 AND 0 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 2, required_guarantees=[hd_dep_count in (0, 2, 4)]
            └──────────────────────────────────────────────────
          ┌───── Stage 12 ── Tasks: t0:[p0..p2] t1:[p3..p5] t2:[p6..p8] t3:[p9..p11]
          │ AggregateExec: mode=Partial, gby=[], aggr=[count(Int64(1))]
          │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(s_store_sk@0, ss_store_sk@0)], projection=[]
          │     CoalescePartitionsExec
          │       [Stage 9] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
          │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(t_time_sk@0, ss_sold_time_sk@0)], projection=[ss_store_sk@2]
          │       CoalescePartitionsExec
          │         [Stage 10] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
          │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(hd_demo_sk@0, ss_hdemo_sk@1)], projection=[ss_sold_time_sk@1, ss_store_sk@3]
          │         CoalescePartitionsExec
          │           [Stage 11] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
          │         DistributedLeafExec:
          │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_time_sk, ss_hdemo_sk, ss_store_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          │           t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_time_sk, ss_hdemo_sk, ss_store_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          │           t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_time_sk, ss_hdemo_sk, ss_store_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          │           t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_time_sk, ss_hdemo_sk, ss_store_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          └──────────────────────────────────────────────────
            ┌───── Stage 9 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   FilterExec: s_store_name@1 = ese, projection=[s_store_sk@0]
            │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name], file_type=parquet, predicate=s_store_name@5 = ese, pruning_predicate=s_store_name_null_count@2 != row_count@3 AND s_store_name_min@0 <= ese AND ese <= s_store_name_max@1, required_guarantees=[s_store_name in (ese)]
            │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name], file_type=parquet, predicate=s_store_name@5 = ese, pruning_predicate=s_store_name_null_count@2 != row_count@3 AND s_store_name_min@0 <= ese AND ese <= s_store_name_max@1, required_guarantees=[s_store_name in (ese)]
            │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name], file_type=parquet, predicate=s_store_name@5 = ese, pruning_predicate=s_store_name_null_count@2 != row_count@3 AND s_store_name_min@0 <= ese AND ese <= s_store_name_max@1, required_guarantees=[s_store_name in (ese)]
            │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name], file_type=parquet, predicate=s_store_name@5 = ese, pruning_predicate=s_store_name_null_count@2 != row_count@3 AND s_store_name_min@0 <= ese AND ese <= s_store_name_max@1, required_guarantees=[s_store_name in (ese)]
            └──────────────────────────────────────────────────
            ┌───── Stage 10 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   FilterExec: t_hour@1 = 11 AND t_minute@2 < 30, projection=[t_time_sk@0]
            │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/time_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/time_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/time_dim/part-2.parquet:<int>..<int>]]}, projection=[t_time_sk, t_hour, t_minute], file_type=parquet, predicate=t_hour@3 = 11 AND t_minute@4 < 30, pruning_predicate=t_hour_null_count@2 != row_count@3 AND t_hour_min@0 <= 11 AND 11 <= t_hour_max@1 AND t_minute_null_count@5 != row_count@3 AND t_minute_min@4 < 30, required_guarantees=[t_hour in (11)]
            │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/time_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/time_dim/part-2.parquet:<int>..<int>]]}, projection=[t_time_sk, t_hour, t_minute], file_type=parquet, predicate=t_hour@3 = 11 AND t_minute@4 < 30, pruning_predicate=t_hour_null_count@2 != row_count@3 AND t_hour_min@0 <= 11 AND 11 <= t_hour_max@1 AND t_minute_null_count@5 != row_count@3 AND t_minute_min@4 < 30, required_guarantees=[t_hour in (11)]
            │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/time_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/time_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/time_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/time_dim/part-3.parquet:<int>..<int>]]}, projection=[t_time_sk, t_hour, t_minute], file_type=parquet, predicate=t_hour@3 = 11 AND t_minute@4 < 30, pruning_predicate=t_hour_null_count@2 != row_count@3 AND t_hour_min@0 <= 11 AND 11 <= t_hour_max@1 AND t_minute_null_count@5 != row_count@3 AND t_minute_min@4 < 30, required_guarantees=[t_hour in (11)]
            │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/time_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/time_dim/part-3.parquet:<int>..<int>]]}, projection=[t_time_sk, t_hour, t_minute], file_type=parquet, predicate=t_hour@3 = 11 AND t_minute@4 < 30, pruning_predicate=t_hour_null_count@2 != row_count@3 AND t_hour_min@0 <= 11 AND 11 <= t_hour_max@1 AND t_minute_null_count@5 != row_count@3 AND t_minute_min@4 < 30, required_guarantees=[t_hour in (11)]
            └──────────────────────────────────────────────────
            ┌───── Stage 11 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   FilterExec: hd_dep_count@1 = 4 AND hd_vehicle_count@2 <= 6 OR hd_dep_count@1 = 2 AND hd_vehicle_count@2 <= 4 OR hd_dep_count@1 = 0 AND hd_vehicle_count@2 <= 2, projection=[hd_demo_sk@0]
            │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_dep_count, hd_vehicle_count], file_type=parquet, predicate=hd_dep_count@3 = 4 AND hd_vehicle_count@4 <= 6 OR hd_dep_count@3 = 2 AND hd_vehicle_count@4 <= 4 OR hd_dep_count@3 = 0 AND hd_vehicle_count@4 <= 2, pruning_predicate=hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 4 AND 4 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 6 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 2 AND 2 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 4 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 0 AND 0 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 2, required_guarantees=[hd_dep_count in (0, 2, 4)]
            │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_dep_count, hd_vehicle_count], file_type=parquet, predicate=hd_dep_count@3 = 4 AND hd_vehicle_count@4 <= 6 OR hd_dep_count@3 = 2 AND hd_vehicle_count@4 <= 4 OR hd_dep_count@3 = 0 AND hd_vehicle_count@4 <= 2, pruning_predicate=hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 4 AND 4 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 6 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 2 AND 2 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 4 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 0 AND 0 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 2, required_guarantees=[hd_dep_count in (0, 2, 4)]
            │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_dep_count, hd_vehicle_count], file_type=parquet, predicate=hd_dep_count@3 = 4 AND hd_vehicle_count@4 <= 6 OR hd_dep_count@3 = 2 AND hd_vehicle_count@4 <= 4 OR hd_dep_count@3 = 0 AND hd_vehicle_count@4 <= 2, pruning_predicate=hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 4 AND 4 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 6 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 2 AND 2 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 4 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 0 AND 0 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 2, required_guarantees=[hd_dep_count in (0, 2, 4)]
            │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-3.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_dep_count, hd_vehicle_count], file_type=parquet, predicate=hd_dep_count@3 = 4 AND hd_vehicle_count@4 <= 6 OR hd_dep_count@3 = 2 AND hd_vehicle_count@4 <= 4 OR hd_dep_count@3 = 0 AND hd_vehicle_count@4 <= 2, pruning_predicate=hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 4 AND 4 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 6 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 2 AND 2 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 4 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 0 AND 0 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 2, required_guarantees=[hd_dep_count in (0, 2, 4)]
            └──────────────────────────────────────────────────
          ┌───── Stage 16 ── Tasks: t0:[p0..p2] t1:[p3..p5] t2:[p6..p8] t3:[p9..p11]
          │ AggregateExec: mode=Partial, gby=[], aggr=[count(Int64(1))]
          │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(s_store_sk@0, ss_store_sk@0)], projection=[]
          │     CoalescePartitionsExec
          │       [Stage 13] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
          │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(t_time_sk@0, ss_sold_time_sk@0)], projection=[ss_store_sk@2]
          │       CoalescePartitionsExec
          │         [Stage 14] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
          │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(hd_demo_sk@0, ss_hdemo_sk@1)], projection=[ss_sold_time_sk@1, ss_store_sk@3]
          │         CoalescePartitionsExec
          │           [Stage 15] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
          │         DistributedLeafExec:
          │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_time_sk, ss_hdemo_sk, ss_store_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          │           t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_time_sk, ss_hdemo_sk, ss_store_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          │           t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_time_sk, ss_hdemo_sk, ss_store_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          │           t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_time_sk, ss_hdemo_sk, ss_store_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          └──────────────────────────────────────────────────
            ┌───── Stage 13 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   FilterExec: s_store_name@1 = ese, projection=[s_store_sk@0]
            │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name], file_type=parquet, predicate=s_store_name@5 = ese, pruning_predicate=s_store_name_null_count@2 != row_count@3 AND s_store_name_min@0 <= ese AND ese <= s_store_name_max@1, required_guarantees=[s_store_name in (ese)]
            │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name], file_type=parquet, predicate=s_store_name@5 = ese, pruning_predicate=s_store_name_null_count@2 != row_count@3 AND s_store_name_min@0 <= ese AND ese <= s_store_name_max@1, required_guarantees=[s_store_name in (ese)]
            │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name], file_type=parquet, predicate=s_store_name@5 = ese, pruning_predicate=s_store_name_null_count@2 != row_count@3 AND s_store_name_min@0 <= ese AND ese <= s_store_name_max@1, required_guarantees=[s_store_name in (ese)]
            │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name], file_type=parquet, predicate=s_store_name@5 = ese, pruning_predicate=s_store_name_null_count@2 != row_count@3 AND s_store_name_min@0 <= ese AND ese <= s_store_name_max@1, required_guarantees=[s_store_name in (ese)]
            └──────────────────────────────────────────────────
            ┌───── Stage 14 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   FilterExec: t_hour@1 = 10 AND t_minute@2 >= 30, projection=[t_time_sk@0]
            │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/time_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/time_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/time_dim/part-2.parquet:<int>..<int>]]}, projection=[t_time_sk, t_hour, t_minute], file_type=parquet, predicate=t_hour@3 = 10 AND t_minute@4 >= 30, pruning_predicate=t_hour_null_count@2 != row_count@3 AND t_hour_min@0 <= 10 AND 10 <= t_hour_max@1 AND t_minute_null_count@5 != row_count@3 AND t_minute_max@4 >= 30, required_guarantees=[t_hour in (10)]
            │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/time_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/time_dim/part-2.parquet:<int>..<int>]]}, projection=[t_time_sk, t_hour, t_minute], file_type=parquet, predicate=t_hour@3 = 10 AND t_minute@4 >= 30, pruning_predicate=t_hour_null_count@2 != row_count@3 AND t_hour_min@0 <= 10 AND 10 <= t_hour_max@1 AND t_minute_null_count@5 != row_count@3 AND t_minute_max@4 >= 30, required_guarantees=[t_hour in (10)]
            │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/time_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/time_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/time_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/time_dim/part-3.parquet:<int>..<int>]]}, projection=[t_time_sk, t_hour, t_minute], file_type=parquet, predicate=t_hour@3 = 10 AND t_minute@4 >= 30, pruning_predicate=t_hour_null_count@2 != row_count@3 AND t_hour_min@0 <= 10 AND 10 <= t_hour_max@1 AND t_minute_null_count@5 != row_count@3 AND t_minute_max@4 >= 30, required_guarantees=[t_hour in (10)]
            │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/time_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/time_dim/part-3.parquet:<int>..<int>]]}, projection=[t_time_sk, t_hour, t_minute], file_type=parquet, predicate=t_hour@3 = 10 AND t_minute@4 >= 30, pruning_predicate=t_hour_null_count@2 != row_count@3 AND t_hour_min@0 <= 10 AND 10 <= t_hour_max@1 AND t_minute_null_count@5 != row_count@3 AND t_minute_max@4 >= 30, required_guarantees=[t_hour in (10)]
            └──────────────────────────────────────────────────
            ┌───── Stage 15 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   FilterExec: hd_dep_count@1 = 4 AND hd_vehicle_count@2 <= 6 OR hd_dep_count@1 = 2 AND hd_vehicle_count@2 <= 4 OR hd_dep_count@1 = 0 AND hd_vehicle_count@2 <= 2, projection=[hd_demo_sk@0]
            │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_dep_count, hd_vehicle_count], file_type=parquet, predicate=hd_dep_count@3 = 4 AND hd_vehicle_count@4 <= 6 OR hd_dep_count@3 = 2 AND hd_vehicle_count@4 <= 4 OR hd_dep_count@3 = 0 AND hd_vehicle_count@4 <= 2, pruning_predicate=hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 4 AND 4 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 6 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 2 AND 2 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 4 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 0 AND 0 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 2, required_guarantees=[hd_dep_count in (0, 2, 4)]
            │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_dep_count, hd_vehicle_count], file_type=parquet, predicate=hd_dep_count@3 = 4 AND hd_vehicle_count@4 <= 6 OR hd_dep_count@3 = 2 AND hd_vehicle_count@4 <= 4 OR hd_dep_count@3 = 0 AND hd_vehicle_count@4 <= 2, pruning_predicate=hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 4 AND 4 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 6 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 2 AND 2 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 4 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 0 AND 0 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 2, required_guarantees=[hd_dep_count in (0, 2, 4)]
            │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_dep_count, hd_vehicle_count], file_type=parquet, predicate=hd_dep_count@3 = 4 AND hd_vehicle_count@4 <= 6 OR hd_dep_count@3 = 2 AND hd_vehicle_count@4 <= 4 OR hd_dep_count@3 = 0 AND hd_vehicle_count@4 <= 2, pruning_predicate=hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 4 AND 4 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 6 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 2 AND 2 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 4 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 0 AND 0 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 2, required_guarantees=[hd_dep_count in (0, 2, 4)]
            │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-3.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_dep_count, hd_vehicle_count], file_type=parquet, predicate=hd_dep_count@3 = 4 AND hd_vehicle_count@4 <= 6 OR hd_dep_count@3 = 2 AND hd_vehicle_count@4 <= 4 OR hd_dep_count@3 = 0 AND hd_vehicle_count@4 <= 2, pruning_predicate=hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 4 AND 4 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 6 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 2 AND 2 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 4 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 0 AND 0 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 2, required_guarantees=[hd_dep_count in (0, 2, 4)]
            └──────────────────────────────────────────────────
          ┌───── Stage 20 ── Tasks: t0:[p0..p2] t1:[p3..p5] t2:[p6..p8] t3:[p9..p11]
          │ AggregateExec: mode=Partial, gby=[], aggr=[count(Int64(1))]
          │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(s_store_sk@0, ss_store_sk@0)], projection=[]
          │     CoalescePartitionsExec
          │       [Stage 17] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
          │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(t_time_sk@0, ss_sold_time_sk@0)], projection=[ss_store_sk@2]
          │       CoalescePartitionsExec
          │         [Stage 18] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
          │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(hd_demo_sk@0, ss_hdemo_sk@1)], projection=[ss_sold_time_sk@1, ss_store_sk@3]
          │         CoalescePartitionsExec
          │           [Stage 19] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
          │         DistributedLeafExec:
          │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_time_sk, ss_hdemo_sk, ss_store_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          │           t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_time_sk, ss_hdemo_sk, ss_store_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          │           t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_time_sk, ss_hdemo_sk, ss_store_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          │           t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_time_sk, ss_hdemo_sk, ss_store_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          └──────────────────────────────────────────────────
            ┌───── Stage 17 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   FilterExec: s_store_name@1 = ese, projection=[s_store_sk@0]
            │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name], file_type=parquet, predicate=s_store_name@5 = ese, pruning_predicate=s_store_name_null_count@2 != row_count@3 AND s_store_name_min@0 <= ese AND ese <= s_store_name_max@1, required_guarantees=[s_store_name in (ese)]
            │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name], file_type=parquet, predicate=s_store_name@5 = ese, pruning_predicate=s_store_name_null_count@2 != row_count@3 AND s_store_name_min@0 <= ese AND ese <= s_store_name_max@1, required_guarantees=[s_store_name in (ese)]
            │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name], file_type=parquet, predicate=s_store_name@5 = ese, pruning_predicate=s_store_name_null_count@2 != row_count@3 AND s_store_name_min@0 <= ese AND ese <= s_store_name_max@1, required_guarantees=[s_store_name in (ese)]
            │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name], file_type=parquet, predicate=s_store_name@5 = ese, pruning_predicate=s_store_name_null_count@2 != row_count@3 AND s_store_name_min@0 <= ese AND ese <= s_store_name_max@1, required_guarantees=[s_store_name in (ese)]
            └──────────────────────────────────────────────────
            ┌───── Stage 18 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   FilterExec: t_hour@1 = 10 AND t_minute@2 < 30, projection=[t_time_sk@0]
            │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/time_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/time_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/time_dim/part-2.parquet:<int>..<int>]]}, projection=[t_time_sk, t_hour, t_minute], file_type=parquet, predicate=t_hour@3 = 10 AND t_minute@4 < 30, pruning_predicate=t_hour_null_count@2 != row_count@3 AND t_hour_min@0 <= 10 AND 10 <= t_hour_max@1 AND t_minute_null_count@5 != row_count@3 AND t_minute_min@4 < 30, required_guarantees=[t_hour in (10)]
            │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/time_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/time_dim/part-2.parquet:<int>..<int>]]}, projection=[t_time_sk, t_hour, t_minute], file_type=parquet, predicate=t_hour@3 = 10 AND t_minute@4 < 30, pruning_predicate=t_hour_null_count@2 != row_count@3 AND t_hour_min@0 <= 10 AND 10 <= t_hour_max@1 AND t_minute_null_count@5 != row_count@3 AND t_minute_min@4 < 30, required_guarantees=[t_hour in (10)]
            │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/time_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/time_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/time_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/time_dim/part-3.parquet:<int>..<int>]]}, projection=[t_time_sk, t_hour, t_minute], file_type=parquet, predicate=t_hour@3 = 10 AND t_minute@4 < 30, pruning_predicate=t_hour_null_count@2 != row_count@3 AND t_hour_min@0 <= 10 AND 10 <= t_hour_max@1 AND t_minute_null_count@5 != row_count@3 AND t_minute_min@4 < 30, required_guarantees=[t_hour in (10)]
            │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/time_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/time_dim/part-3.parquet:<int>..<int>]]}, projection=[t_time_sk, t_hour, t_minute], file_type=parquet, predicate=t_hour@3 = 10 AND t_minute@4 < 30, pruning_predicate=t_hour_null_count@2 != row_count@3 AND t_hour_min@0 <= 10 AND 10 <= t_hour_max@1 AND t_minute_null_count@5 != row_count@3 AND t_minute_min@4 < 30, required_guarantees=[t_hour in (10)]
            └──────────────────────────────────────────────────
            ┌───── Stage 19 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   FilterExec: hd_dep_count@1 = 4 AND hd_vehicle_count@2 <= 6 OR hd_dep_count@1 = 2 AND hd_vehicle_count@2 <= 4 OR hd_dep_count@1 = 0 AND hd_vehicle_count@2 <= 2, projection=[hd_demo_sk@0]
            │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_dep_count, hd_vehicle_count], file_type=parquet, predicate=hd_dep_count@3 = 4 AND hd_vehicle_count@4 <= 6 OR hd_dep_count@3 = 2 AND hd_vehicle_count@4 <= 4 OR hd_dep_count@3 = 0 AND hd_vehicle_count@4 <= 2, pruning_predicate=hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 4 AND 4 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 6 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 2 AND 2 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 4 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 0 AND 0 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 2, required_guarantees=[hd_dep_count in (0, 2, 4)]
            │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_dep_count, hd_vehicle_count], file_type=parquet, predicate=hd_dep_count@3 = 4 AND hd_vehicle_count@4 <= 6 OR hd_dep_count@3 = 2 AND hd_vehicle_count@4 <= 4 OR hd_dep_count@3 = 0 AND hd_vehicle_count@4 <= 2, pruning_predicate=hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 4 AND 4 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 6 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 2 AND 2 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 4 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 0 AND 0 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 2, required_guarantees=[hd_dep_count in (0, 2, 4)]
            │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_dep_count, hd_vehicle_count], file_type=parquet, predicate=hd_dep_count@3 = 4 AND hd_vehicle_count@4 <= 6 OR hd_dep_count@3 = 2 AND hd_vehicle_count@4 <= 4 OR hd_dep_count@3 = 0 AND hd_vehicle_count@4 <= 2, pruning_predicate=hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 4 AND 4 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 6 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 2 AND 2 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 4 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 0 AND 0 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 2, required_guarantees=[hd_dep_count in (0, 2, 4)]
            │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-3.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_dep_count, hd_vehicle_count], file_type=parquet, predicate=hd_dep_count@3 = 4 AND hd_vehicle_count@4 <= 6 OR hd_dep_count@3 = 2 AND hd_vehicle_count@4 <= 4 OR hd_dep_count@3 = 0 AND hd_vehicle_count@4 <= 2, pruning_predicate=hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 4 AND 4 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 6 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 2 AND 2 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 4 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 0 AND 0 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 2, required_guarantees=[hd_dep_count in (0, 2, 4)]
            └──────────────────────────────────────────────────
          ┌───── Stage 24 ── Tasks: t0:[p0..p2] t1:[p3..p5] t2:[p6..p8] t3:[p9..p11]
          │ AggregateExec: mode=Partial, gby=[], aggr=[count(Int64(1))]
          │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(s_store_sk@0, ss_store_sk@0)], projection=[]
          │     CoalescePartitionsExec
          │       [Stage 21] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
          │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(t_time_sk@0, ss_sold_time_sk@0)], projection=[ss_store_sk@2]
          │       CoalescePartitionsExec
          │         [Stage 22] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
          │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(hd_demo_sk@0, ss_hdemo_sk@1)], projection=[ss_sold_time_sk@1, ss_store_sk@3]
          │         CoalescePartitionsExec
          │           [Stage 23] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
          │         DistributedLeafExec:
          │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_time_sk, ss_hdemo_sk, ss_store_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          │           t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_time_sk, ss_hdemo_sk, ss_store_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          │           t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_time_sk, ss_hdemo_sk, ss_store_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          │           t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_time_sk, ss_hdemo_sk, ss_store_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          └──────────────────────────────────────────────────
            ┌───── Stage 21 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   FilterExec: s_store_name@1 = ese, projection=[s_store_sk@0]
            │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name], file_type=parquet, predicate=s_store_name@5 = ese, pruning_predicate=s_store_name_null_count@2 != row_count@3 AND s_store_name_min@0 <= ese AND ese <= s_store_name_max@1, required_guarantees=[s_store_name in (ese)]
            │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name], file_type=parquet, predicate=s_store_name@5 = ese, pruning_predicate=s_store_name_null_count@2 != row_count@3 AND s_store_name_min@0 <= ese AND ese <= s_store_name_max@1, required_guarantees=[s_store_name in (ese)]
            │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name], file_type=parquet, predicate=s_store_name@5 = ese, pruning_predicate=s_store_name_null_count@2 != row_count@3 AND s_store_name_min@0 <= ese AND ese <= s_store_name_max@1, required_guarantees=[s_store_name in (ese)]
            │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name], file_type=parquet, predicate=s_store_name@5 = ese, pruning_predicate=s_store_name_null_count@2 != row_count@3 AND s_store_name_min@0 <= ese AND ese <= s_store_name_max@1, required_guarantees=[s_store_name in (ese)]
            └──────────────────────────────────────────────────
            ┌───── Stage 22 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   FilterExec: t_hour@1 = 9 AND t_minute@2 >= 30, projection=[t_time_sk@0]
            │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/time_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/time_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/time_dim/part-2.parquet:<int>..<int>]]}, projection=[t_time_sk, t_hour, t_minute], file_type=parquet, predicate=t_hour@3 = 9 AND t_minute@4 >= 30, pruning_predicate=t_hour_null_count@2 != row_count@3 AND t_hour_min@0 <= 9 AND 9 <= t_hour_max@1 AND t_minute_null_count@5 != row_count@3 AND t_minute_max@4 >= 30, required_guarantees=[t_hour in (9)]
            │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/time_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/time_dim/part-2.parquet:<int>..<int>]]}, projection=[t_time_sk, t_hour, t_minute], file_type=parquet, predicate=t_hour@3 = 9 AND t_minute@4 >= 30, pruning_predicate=t_hour_null_count@2 != row_count@3 AND t_hour_min@0 <= 9 AND 9 <= t_hour_max@1 AND t_minute_null_count@5 != row_count@3 AND t_minute_max@4 >= 30, required_guarantees=[t_hour in (9)]
            │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/time_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/time_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/time_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/time_dim/part-3.parquet:<int>..<int>]]}, projection=[t_time_sk, t_hour, t_minute], file_type=parquet, predicate=t_hour@3 = 9 AND t_minute@4 >= 30, pruning_predicate=t_hour_null_count@2 != row_count@3 AND t_hour_min@0 <= 9 AND 9 <= t_hour_max@1 AND t_minute_null_count@5 != row_count@3 AND t_minute_max@4 >= 30, required_guarantees=[t_hour in (9)]
            │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/time_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/time_dim/part-3.parquet:<int>..<int>]]}, projection=[t_time_sk, t_hour, t_minute], file_type=parquet, predicate=t_hour@3 = 9 AND t_minute@4 >= 30, pruning_predicate=t_hour_null_count@2 != row_count@3 AND t_hour_min@0 <= 9 AND 9 <= t_hour_max@1 AND t_minute_null_count@5 != row_count@3 AND t_minute_max@4 >= 30, required_guarantees=[t_hour in (9)]
            └──────────────────────────────────────────────────
            ┌───── Stage 23 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   FilterExec: hd_dep_count@1 = 4 AND hd_vehicle_count@2 <= 6 OR hd_dep_count@1 = 2 AND hd_vehicle_count@2 <= 4 OR hd_dep_count@1 = 0 AND hd_vehicle_count@2 <= 2, projection=[hd_demo_sk@0]
            │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_dep_count, hd_vehicle_count], file_type=parquet, predicate=hd_dep_count@3 = 4 AND hd_vehicle_count@4 <= 6 OR hd_dep_count@3 = 2 AND hd_vehicle_count@4 <= 4 OR hd_dep_count@3 = 0 AND hd_vehicle_count@4 <= 2, pruning_predicate=hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 4 AND 4 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 6 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 2 AND 2 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 4 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 0 AND 0 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 2, required_guarantees=[hd_dep_count in (0, 2, 4)]
            │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_dep_count, hd_vehicle_count], file_type=parquet, predicate=hd_dep_count@3 = 4 AND hd_vehicle_count@4 <= 6 OR hd_dep_count@3 = 2 AND hd_vehicle_count@4 <= 4 OR hd_dep_count@3 = 0 AND hd_vehicle_count@4 <= 2, pruning_predicate=hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 4 AND 4 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 6 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 2 AND 2 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 4 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 0 AND 0 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 2, required_guarantees=[hd_dep_count in (0, 2, 4)]
            │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_dep_count, hd_vehicle_count], file_type=parquet, predicate=hd_dep_count@3 = 4 AND hd_vehicle_count@4 <= 6 OR hd_dep_count@3 = 2 AND hd_vehicle_count@4 <= 4 OR hd_dep_count@3 = 0 AND hd_vehicle_count@4 <= 2, pruning_predicate=hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 4 AND 4 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 6 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 2 AND 2 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 4 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 0 AND 0 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 2, required_guarantees=[hd_dep_count in (0, 2, 4)]
            │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-3.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_dep_count, hd_vehicle_count], file_type=parquet, predicate=hd_dep_count@3 = 4 AND hd_vehicle_count@4 <= 6 OR hd_dep_count@3 = 2 AND hd_vehicle_count@4 <= 4 OR hd_dep_count@3 = 0 AND hd_vehicle_count@4 <= 2, pruning_predicate=hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 4 AND 4 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 6 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 2 AND 2 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 4 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 0 AND 0 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 2, required_guarantees=[hd_dep_count in (0, 2, 4)]
            └──────────────────────────────────────────────────
          ┌───── Stage 28 ── Tasks: t0:[p0..p2] t1:[p3..p5] t2:[p6..p8] t3:[p9..p11]
          │ AggregateExec: mode=Partial, gby=[], aggr=[count(Int64(1))]
          │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(s_store_sk@0, ss_store_sk@0)], projection=[]
          │     CoalescePartitionsExec
          │       [Stage 25] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
          │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(t_time_sk@0, ss_sold_time_sk@0)], projection=[ss_store_sk@2]
          │       CoalescePartitionsExec
          │         [Stage 26] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
          │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(hd_demo_sk@0, ss_hdemo_sk@1)], projection=[ss_sold_time_sk@1, ss_store_sk@3]
          │         CoalescePartitionsExec
          │           [Stage 27] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
          │         DistributedLeafExec:
          │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_time_sk, ss_hdemo_sk, ss_store_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          │           t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_time_sk, ss_hdemo_sk, ss_store_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          │           t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_time_sk, ss_hdemo_sk, ss_store_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          │           t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_time_sk, ss_hdemo_sk, ss_store_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          └──────────────────────────────────────────────────
            ┌───── Stage 25 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   FilterExec: s_store_name@1 = ese, projection=[s_store_sk@0]
            │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name], file_type=parquet, predicate=s_store_name@5 = ese, pruning_predicate=s_store_name_null_count@2 != row_count@3 AND s_store_name_min@0 <= ese AND ese <= s_store_name_max@1, required_guarantees=[s_store_name in (ese)]
            │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name], file_type=parquet, predicate=s_store_name@5 = ese, pruning_predicate=s_store_name_null_count@2 != row_count@3 AND s_store_name_min@0 <= ese AND ese <= s_store_name_max@1, required_guarantees=[s_store_name in (ese)]
            │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name], file_type=parquet, predicate=s_store_name@5 = ese, pruning_predicate=s_store_name_null_count@2 != row_count@3 AND s_store_name_min@0 <= ese AND ese <= s_store_name_max@1, required_guarantees=[s_store_name in (ese)]
            │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name], file_type=parquet, predicate=s_store_name@5 = ese, pruning_predicate=s_store_name_null_count@2 != row_count@3 AND s_store_name_min@0 <= ese AND ese <= s_store_name_max@1, required_guarantees=[s_store_name in (ese)]
            └──────────────────────────────────────────────────
            ┌───── Stage 26 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   FilterExec: t_hour@1 = 8 AND t_minute@2 >= 30, projection=[t_time_sk@0]
            │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/time_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/time_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/time_dim/part-2.parquet:<int>..<int>]]}, projection=[t_time_sk, t_hour, t_minute], file_type=parquet, predicate=t_hour@3 = 8 AND t_minute@4 >= 30, pruning_predicate=t_hour_null_count@2 != row_count@3 AND t_hour_min@0 <= 8 AND 8 <= t_hour_max@1 AND t_minute_null_count@5 != row_count@3 AND t_minute_max@4 >= 30, required_guarantees=[t_hour in (8)]
            │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/time_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/time_dim/part-2.parquet:<int>..<int>]]}, projection=[t_time_sk, t_hour, t_minute], file_type=parquet, predicate=t_hour@3 = 8 AND t_minute@4 >= 30, pruning_predicate=t_hour_null_count@2 != row_count@3 AND t_hour_min@0 <= 8 AND 8 <= t_hour_max@1 AND t_minute_null_count@5 != row_count@3 AND t_minute_max@4 >= 30, required_guarantees=[t_hour in (8)]
            │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/time_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/time_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/time_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/time_dim/part-3.parquet:<int>..<int>]]}, projection=[t_time_sk, t_hour, t_minute], file_type=parquet, predicate=t_hour@3 = 8 AND t_minute@4 >= 30, pruning_predicate=t_hour_null_count@2 != row_count@3 AND t_hour_min@0 <= 8 AND 8 <= t_hour_max@1 AND t_minute_null_count@5 != row_count@3 AND t_minute_max@4 >= 30, required_guarantees=[t_hour in (8)]
            │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/time_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/time_dim/part-3.parquet:<int>..<int>]]}, projection=[t_time_sk, t_hour, t_minute], file_type=parquet, predicate=t_hour@3 = 8 AND t_minute@4 >= 30, pruning_predicate=t_hour_null_count@2 != row_count@3 AND t_hour_min@0 <= 8 AND 8 <= t_hour_max@1 AND t_minute_null_count@5 != row_count@3 AND t_minute_max@4 >= 30, required_guarantees=[t_hour in (8)]
            └──────────────────────────────────────────────────
            ┌───── Stage 27 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   FilterExec: hd_dep_count@1 = 4 AND hd_vehicle_count@2 <= 6 OR hd_dep_count@1 = 2 AND hd_vehicle_count@2 <= 4 OR hd_dep_count@1 = 0 AND hd_vehicle_count@2 <= 2, projection=[hd_demo_sk@0]
            │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_dep_count, hd_vehicle_count], file_type=parquet, predicate=hd_dep_count@3 = 4 AND hd_vehicle_count@4 <= 6 OR hd_dep_count@3 = 2 AND hd_vehicle_count@4 <= 4 OR hd_dep_count@3 = 0 AND hd_vehicle_count@4 <= 2, pruning_predicate=hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 4 AND 4 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 6 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 2 AND 2 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 4 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 0 AND 0 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 2, required_guarantees=[hd_dep_count in (0, 2, 4)]
            │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_dep_count, hd_vehicle_count], file_type=parquet, predicate=hd_dep_count@3 = 4 AND hd_vehicle_count@4 <= 6 OR hd_dep_count@3 = 2 AND hd_vehicle_count@4 <= 4 OR hd_dep_count@3 = 0 AND hd_vehicle_count@4 <= 2, pruning_predicate=hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 4 AND 4 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 6 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 2 AND 2 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 4 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 0 AND 0 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 2, required_guarantees=[hd_dep_count in (0, 2, 4)]
            │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_dep_count, hd_vehicle_count], file_type=parquet, predicate=hd_dep_count@3 = 4 AND hd_vehicle_count@4 <= 6 OR hd_dep_count@3 = 2 AND hd_vehicle_count@4 <= 4 OR hd_dep_count@3 = 0 AND hd_vehicle_count@4 <= 2, pruning_predicate=hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 4 AND 4 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 6 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 2 AND 2 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 4 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 0 AND 0 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 2, required_guarantees=[hd_dep_count in (0, 2, 4)]
            │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-3.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_dep_count, hd_vehicle_count], file_type=parquet, predicate=hd_dep_count@3 = 4 AND hd_vehicle_count@4 <= 6 OR hd_dep_count@3 = 2 AND hd_vehicle_count@4 <= 4 OR hd_dep_count@3 = 0 AND hd_vehicle_count@4 <= 2, pruning_predicate=hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 4 AND 4 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 6 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 2 AND 2 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 4 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 0 AND 0 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 2, required_guarantees=[hd_dep_count in (0, 2, 4)]
            └──────────────────────────────────────────────────
          ┌───── Stage 32 ── Tasks: t0:[p0..p2] t1:[p3..p5] t2:[p6..p8] t3:[p9..p11]
          │ AggregateExec: mode=Partial, gby=[], aggr=[count(Int64(1))]
          │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(s_store_sk@0, ss_store_sk@0)], projection=[]
          │     CoalescePartitionsExec
          │       [Stage 29] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
          │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(t_time_sk@0, ss_sold_time_sk@0)], projection=[ss_store_sk@2]
          │       CoalescePartitionsExec
          │         [Stage 30] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
          │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(hd_demo_sk@0, ss_hdemo_sk@1)], projection=[ss_sold_time_sk@1, ss_store_sk@3]
          │         CoalescePartitionsExec
          │           [Stage 31] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
          │         DistributedLeafExec:
          │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_time_sk, ss_hdemo_sk, ss_store_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          │           t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_time_sk, ss_hdemo_sk, ss_store_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          │           t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_time_sk, ss_hdemo_sk, ss_store_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          │           t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_time_sk, ss_hdemo_sk, ss_store_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          └──────────────────────────────────────────────────
            ┌───── Stage 29 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   FilterExec: s_store_name@1 = ese, projection=[s_store_sk@0]
            │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name], file_type=parquet, predicate=s_store_name@5 = ese, pruning_predicate=s_store_name_null_count@2 != row_count@3 AND s_store_name_min@0 <= ese AND ese <= s_store_name_max@1, required_guarantees=[s_store_name in (ese)]
            │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name], file_type=parquet, predicate=s_store_name@5 = ese, pruning_predicate=s_store_name_null_count@2 != row_count@3 AND s_store_name_min@0 <= ese AND ese <= s_store_name_max@1, required_guarantees=[s_store_name in (ese)]
            │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name], file_type=parquet, predicate=s_store_name@5 = ese, pruning_predicate=s_store_name_null_count@2 != row_count@3 AND s_store_name_min@0 <= ese AND ese <= s_store_name_max@1, required_guarantees=[s_store_name in (ese)]
            │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name], file_type=parquet, predicate=s_store_name@5 = ese, pruning_predicate=s_store_name_null_count@2 != row_count@3 AND s_store_name_min@0 <= ese AND ese <= s_store_name_max@1, required_guarantees=[s_store_name in (ese)]
            └──────────────────────────────────────────────────
            ┌───── Stage 30 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   FilterExec: t_hour@1 = 9 AND t_minute@2 < 30, projection=[t_time_sk@0]
            │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/time_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/time_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/time_dim/part-2.parquet:<int>..<int>]]}, projection=[t_time_sk, t_hour, t_minute], file_type=parquet, predicate=t_hour@3 = 9 AND t_minute@4 < 30, pruning_predicate=t_hour_null_count@2 != row_count@3 AND t_hour_min@0 <= 9 AND 9 <= t_hour_max@1 AND t_minute_null_count@5 != row_count@3 AND t_minute_min@4 < 30, required_guarantees=[t_hour in (9)]
            │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/time_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/time_dim/part-2.parquet:<int>..<int>]]}, projection=[t_time_sk, t_hour, t_minute], file_type=parquet, predicate=t_hour@3 = 9 AND t_minute@4 < 30, pruning_predicate=t_hour_null_count@2 != row_count@3 AND t_hour_min@0 <= 9 AND 9 <= t_hour_max@1 AND t_minute_null_count@5 != row_count@3 AND t_minute_min@4 < 30, required_guarantees=[t_hour in (9)]
            │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/time_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/time_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/time_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/time_dim/part-3.parquet:<int>..<int>]]}, projection=[t_time_sk, t_hour, t_minute], file_type=parquet, predicate=t_hour@3 = 9 AND t_minute@4 < 30, pruning_predicate=t_hour_null_count@2 != row_count@3 AND t_hour_min@0 <= 9 AND 9 <= t_hour_max@1 AND t_minute_null_count@5 != row_count@3 AND t_minute_min@4 < 30, required_guarantees=[t_hour in (9)]
            │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/time_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/time_dim/part-3.parquet:<int>..<int>]]}, projection=[t_time_sk, t_hour, t_minute], file_type=parquet, predicate=t_hour@3 = 9 AND t_minute@4 < 30, pruning_predicate=t_hour_null_count@2 != row_count@3 AND t_hour_min@0 <= 9 AND 9 <= t_hour_max@1 AND t_minute_null_count@5 != row_count@3 AND t_minute_min@4 < 30, required_guarantees=[t_hour in (9)]
            └──────────────────────────────────────────────────
            ┌───── Stage 31 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   FilterExec: hd_dep_count@1 = 4 AND hd_vehicle_count@2 <= 6 OR hd_dep_count@1 = 2 AND hd_vehicle_count@2 <= 4 OR hd_dep_count@1 = 0 AND hd_vehicle_count@2 <= 2, projection=[hd_demo_sk@0]
            │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_dep_count, hd_vehicle_count], file_type=parquet, predicate=hd_dep_count@3 = 4 AND hd_vehicle_count@4 <= 6 OR hd_dep_count@3 = 2 AND hd_vehicle_count@4 <= 4 OR hd_dep_count@3 = 0 AND hd_vehicle_count@4 <= 2, pruning_predicate=hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 4 AND 4 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 6 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 2 AND 2 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 4 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 0 AND 0 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 2, required_guarantees=[hd_dep_count in (0, 2, 4)]
            │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_dep_count, hd_vehicle_count], file_type=parquet, predicate=hd_dep_count@3 = 4 AND hd_vehicle_count@4 <= 6 OR hd_dep_count@3 = 2 AND hd_vehicle_count@4 <= 4 OR hd_dep_count@3 = 0 AND hd_vehicle_count@4 <= 2, pruning_predicate=hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 4 AND 4 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 6 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 2 AND 2 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 4 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 0 AND 0 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 2, required_guarantees=[hd_dep_count in (0, 2, 4)]
            │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_dep_count, hd_vehicle_count], file_type=parquet, predicate=hd_dep_count@3 = 4 AND hd_vehicle_count@4 <= 6 OR hd_dep_count@3 = 2 AND hd_vehicle_count@4 <= 4 OR hd_dep_count@3 = 0 AND hd_vehicle_count@4 <= 2, pruning_predicate=hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 4 AND 4 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 6 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 2 AND 2 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 4 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 0 AND 0 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 2, required_guarantees=[hd_dep_count in (0, 2, 4)]
            │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-3.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_dep_count, hd_vehicle_count], file_type=parquet, predicate=hd_dep_count@3 = 4 AND hd_vehicle_count@4 <= 6 OR hd_dep_count@3 = 2 AND hd_vehicle_count@4 <= 4 OR hd_dep_count@3 = 0 AND hd_vehicle_count@4 <= 2, pruning_predicate=hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 4 AND 4 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 6 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 2 AND 2 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 4 OR hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 0 AND 0 <= hd_dep_count_max@1 AND hd_vehicle_count_null_count@5 != row_count@3 AND hd_vehicle_count_min@4 <= 2, required_guarantees=[hd_dep_count in (0, 2, 4)]
            └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_89() -> Result<()> {
        let display = test_tpcds_query("q89").await?;
        assert_snapshot!(display, @r#"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [sum_sales@6 - avg_monthly_sales@7 ASC NULLS LAST, s_store_name@3 ASC NULLS LAST, i_category@0 ASC NULLS LAST, i_class@1 ASC NULLS LAST, i_brand@2 ASC NULLS LAST, s_company_name@4 ASC NULLS LAST, d_moy@5 ASC NULLS LAST], fetch=100
        │   SortExec: TopK(fetch=100), expr=[sum_sales@6 - avg_monthly_sales@7 ASC NULLS LAST, s_store_name@3 ASC NULLS LAST, i_category@0 ASC NULLS LAST, i_class@1 ASC NULLS LAST, i_brand@2 ASC NULLS LAST, s_company_name@4 ASC NULLS LAST, d_moy@5 ASC NULLS LAST], preserve_partitioning=[true]
        │     ProjectionExec: expr=[i_category@0 as i_category, i_class@1 as i_class, i_brand@2 as i_brand, s_store_name@3 as s_store_name, s_company_name@4 as s_company_name, d_moy@5 as d_moy, sum(store_sales.ss_sales_price)@6 as sum_sales, avg(sum(store_sales.ss_sales_price)) PARTITION BY [item.i_category, item.i_brand, store.s_store_name, store.s_company_name] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING@7 as avg_monthly_sales]
        │       FilterExec: CASE WHEN avg(sum(store_sales.ss_sales_price)) PARTITION BY [item.i_category, item.i_brand, store.s_store_name, store.s_company_name] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING@7 != Some(0),21,6 THEN abs(sum(store_sales.ss_sales_price)@6 - avg(sum(store_sales.ss_sales_price)) PARTITION BY [item.i_category, item.i_brand, store.s_store_name, store.s_company_name] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING@7) / avg(sum(store_sales.ss_sales_price)) PARTITION BY [item.i_category, item.i_brand, store.s_store_name, store.s_company_name] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING@7 END > Some(1000000000),32,10
        │         WindowAggExec: wdw=[avg(sum(store_sales.ss_sales_price)) PARTITION BY [item.i_category, item.i_brand, store.s_store_name, store.s_company_name] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING: Ok(Field { name: "avg(sum(store_sales.ss_sales_price)) PARTITION BY [item.i_category, item.i_brand, store.s_store_name, store.s_company_name] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING", data_type: Decimal128(21, 6), nullable: true }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(NULL)), is_causal: false }]
        │           SortExec: expr=[i_category@0 ASC NULLS LAST, i_brand@2 ASC NULLS LAST, s_store_name@3 ASC NULLS LAST, s_company_name@4 ASC NULLS LAST], preserve_partitioning=[true]
        │             [Stage 5] => NetworkShuffleExec: output_partitions=3, input_tasks=2
        └──────────────────────────────────────────────────
          ┌───── Stage 5 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ RepartitionExec: partitioning=Hash([i_category@0, i_brand@2, s_store_name@3, s_company_name@4], 3), input_partitions=3
          │   AggregateExec: mode=FinalPartitioned, gby=[i_category@0 as i_category, i_class@1 as i_class, i_brand@2 as i_brand, s_store_name@3 as s_store_name, s_company_name@4 as s_company_name, d_moy@5 as d_moy], aggr=[sum(store_sales.ss_sales_price)]
          │     [Stage 4] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 4 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([i_category@0, i_class@1, i_brand@2, s_store_name@3, s_company_name@4, d_moy@5], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[i_category@2 as i_category, i_class@1 as i_class, i_brand@0 as i_brand, s_store_name@5 as s_store_name, s_company_name@6 as s_company_name, d_moy@4 as d_moy], aggr=[sum(store_sales.ss_sales_price)]
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(s_store_sk@0, ss_store_sk@3)], projection=[i_brand@3, i_class@4, i_category@5, ss_sales_price@7, d_moy@8, s_store_name@1, s_company_name@2]
            │       CoalescePartitionsExec
            │         [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@3)], projection=[i_brand@2, i_class@3, i_category@4, ss_store_sk@6, ss_sales_price@7, d_moy@1]
            │         CoalescePartitionsExec
            │           [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, ss_item_sk@1)], projection=[i_brand@1, i_class@2, i_category@3, ss_sold_date_sk@4, ss_store_sk@6, ss_sales_price@7]
            │           CoalescePartitionsExec
            │             [Stage 3] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │           DistributedLeafExec:
            │             t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_store_sk, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_store_sk, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_store_sk, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │             t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_store_sk, ss_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 1 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name, s_company_name], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name, s_company_name], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name, s_company_name], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name, s_company_name], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 2 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_year@1 = 1999, projection=[d_date_sk@0, d_moy@2]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1999, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1999 AND 1999 <= d_year_max@1, required_guarantees=[d_year in (1999)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1999, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1999 AND 1999 <= d_year_max@1, required_guarantees=[d_year in (1999)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1999, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1999 AND 1999 <= d_year_max@1, required_guarantees=[d_year in (1999)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1999, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1999 AND 1999 <= d_year_max@1, required_guarantees=[d_year in (1999)]
              └──────────────────────────────────────────────────
              ┌───── Stage 3 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: (i_category@3 = Books OR i_category@3 = Electronics OR i_category@3 = Sports) AND (i_class@2 = computers OR i_class@2 = stereo OR i_class@2 = football) OR (i_category@3 = Men OR i_category@3 = Jewelry OR i_category@3 = Women) AND (i_class@2 = shirts OR i_class@2 = birdal OR i_class@2 = dresses)
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand, i_class, i_category], file_type=parquet, predicate=(i_category@12 = Books OR i_category@12 = Electronics OR i_category@12 = Sports) AND (i_class@10 = computers OR i_class@10 = stereo OR i_class@10 = football) OR (i_category@12 = Men OR i_category@12 = Jewelry OR i_category@12 = Women) AND (i_class@10 = shirts OR i_class@10 = birdal OR i_class@10 = dresses), pruning_predicate=(i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Books AND Books <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Electronics AND Electronics <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Sports AND Sports <= i_category_max@1) AND (i_class_null_count@6 != row_count@3 AND i_class_min@4 <= computers AND computers <= i_class_max@5 OR i_class_null_count@6 != row_count@3 AND i_class_min@4 <= stereo AND stereo <= i_class_max@5 OR i_class_null_count@6 != row_count@3 AND i_class_min@4 <= football AND football <= i_class_max@5) OR (i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Men AND Men <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Jewelry AND Jewelry <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Women AND Women <= i_category_max@1) AND (i_class_null_count@6 != row_count@3 AND i_class_min@4 <= shirts AND shirts <= i_class_max@5 OR i_class_null_count@6 != row_count@3 AND i_class_min@4 <= birdal AND birdal <= i_class_max@5 OR i_class_null_count@6 != row_count@3 AND i_class_min@4 <= dresses AND dresses <= i_class_max@5), required_guarantees=[]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand, i_class, i_category], file_type=parquet, predicate=(i_category@12 = Books OR i_category@12 = Electronics OR i_category@12 = Sports) AND (i_class@10 = computers OR i_class@10 = stereo OR i_class@10 = football) OR (i_category@12 = Men OR i_category@12 = Jewelry OR i_category@12 = Women) AND (i_class@10 = shirts OR i_class@10 = birdal OR i_class@10 = dresses), pruning_predicate=(i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Books AND Books <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Electronics AND Electronics <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Sports AND Sports <= i_category_max@1) AND (i_class_null_count@6 != row_count@3 AND i_class_min@4 <= computers AND computers <= i_class_max@5 OR i_class_null_count@6 != row_count@3 AND i_class_min@4 <= stereo AND stereo <= i_class_max@5 OR i_class_null_count@6 != row_count@3 AND i_class_min@4 <= football AND football <= i_class_max@5) OR (i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Men AND Men <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Jewelry AND Jewelry <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Women AND Women <= i_category_max@1) AND (i_class_null_count@6 != row_count@3 AND i_class_min@4 <= shirts AND shirts <= i_class_max@5 OR i_class_null_count@6 != row_count@3 AND i_class_min@4 <= birdal AND birdal <= i_class_max@5 OR i_class_null_count@6 != row_count@3 AND i_class_min@4 <= dresses AND dresses <= i_class_max@5), required_guarantees=[]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand, i_class, i_category], file_type=parquet, predicate=(i_category@12 = Books OR i_category@12 = Electronics OR i_category@12 = Sports) AND (i_class@10 = computers OR i_class@10 = stereo OR i_class@10 = football) OR (i_category@12 = Men OR i_category@12 = Jewelry OR i_category@12 = Women) AND (i_class@10 = shirts OR i_class@10 = birdal OR i_class@10 = dresses), pruning_predicate=(i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Books AND Books <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Electronics AND Electronics <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Sports AND Sports <= i_category_max@1) AND (i_class_null_count@6 != row_count@3 AND i_class_min@4 <= computers AND computers <= i_class_max@5 OR i_class_null_count@6 != row_count@3 AND i_class_min@4 <= stereo AND stereo <= i_class_max@5 OR i_class_null_count@6 != row_count@3 AND i_class_min@4 <= football AND football <= i_class_max@5) OR (i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Men AND Men <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Jewelry AND Jewelry <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Women AND Women <= i_category_max@1) AND (i_class_null_count@6 != row_count@3 AND i_class_min@4 <= shirts AND shirts <= i_class_max@5 OR i_class_null_count@6 != row_count@3 AND i_class_min@4 <= birdal AND birdal <= i_class_max@5 OR i_class_null_count@6 != row_count@3 AND i_class_min@4 <= dresses AND dresses <= i_class_max@5), required_guarantees=[]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_brand, i_class, i_category], file_type=parquet, predicate=(i_category@12 = Books OR i_category@12 = Electronics OR i_category@12 = Sports) AND (i_class@10 = computers OR i_class@10 = stereo OR i_class@10 = football) OR (i_category@12 = Men OR i_category@12 = Jewelry OR i_category@12 = Women) AND (i_class@10 = shirts OR i_class@10 = birdal OR i_class@10 = dresses), pruning_predicate=(i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Books AND Books <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Electronics AND Electronics <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Sports AND Sports <= i_category_max@1) AND (i_class_null_count@6 != row_count@3 AND i_class_min@4 <= computers AND computers <= i_class_max@5 OR i_class_null_count@6 != row_count@3 AND i_class_min@4 <= stereo AND stereo <= i_class_max@5 OR i_class_null_count@6 != row_count@3 AND i_class_min@4 <= football AND football <= i_class_max@5) OR (i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Men AND Men <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Jewelry AND Jewelry <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Women AND Women <= i_category_max@1) AND (i_class_null_count@6 != row_count@3 AND i_class_min@4 <= shirts AND shirts <= i_class_max@5 OR i_class_null_count@6 != row_count@3 AND i_class_min@4 <= birdal AND birdal <= i_class_max@5 OR i_class_null_count@6 != row_count@3 AND i_class_min@4 <= dresses AND dresses <= i_class_max@5), required_guarantees=[]
              └──────────────────────────────────────────────────
        "#);
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_90() -> Result<()> {
        let display = test_tpcds_query("q90").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortExec: TopK(fetch=100), expr=[am_pm_ratio@0 ASC NULLS LAST], preserve_partitioning=[false]
        │   ProjectionExec: expr=[CASE WHEN pmc@1 = 0 THEN None,23,8 ELSE CAST(amc@0 AS Decimal128(15, 4)) / CAST(pmc@1 AS Decimal128(15, 4)) END as am_pm_ratio]
        │     CrossJoinExec
        │       CoalescePartitionsExec
        │         BroadcastExec: input_partitions=1, consumer_tasks=1, output_partitions=1
        │           ProjectionExec: expr=[count(Int64(1))@0 as amc]
        │             AggregateExec: mode=Final, gby=[], aggr=[count(Int64(1))]
        │               CoalescePartitionsExec
        │                 [Stage 4] => NetworkCoalesceExec: output_partitions=12, input_tasks=4
        │       ProjectionExec: expr=[count(Int64(1))@0 as pmc]
        │         AggregateExec: mode=Final, gby=[], aggr=[count(Int64(1))]
        │           CoalescePartitionsExec
        │             [Stage 8] => NetworkCoalesceExec: output_partitions=12, input_tasks=4
        └──────────────────────────────────────────────────
          ┌───── Stage 4 ── Tasks: t0:[p0..p2] t1:[p3..p5] t2:[p6..p8] t3:[p9..p11]
          │ AggregateExec: mode=Partial, gby=[], aggr=[count(Int64(1))]
          │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(wp_web_page_sk@0, ws_web_page_sk@0)], projection=[]
          │     CoalescePartitionsExec
          │       [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
          │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(t_time_sk@0, ws_sold_time_sk@0)], projection=[ws_web_page_sk@2]
          │       CoalescePartitionsExec
          │         [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
          │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(hd_demo_sk@0, ws_ship_hdemo_sk@1)], projection=[ws_sold_time_sk@1, ws_web_page_sk@3]
          │         CoalescePartitionsExec
          │           [Stage 3] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
          │         DistributedLeafExec:
          │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>]]}, projection=[ws_sold_time_sk, ws_ship_hdemo_sk, ws_web_page_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          │           t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_time_sk, ws_ship_hdemo_sk, ws_web_page_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          │           t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_time_sk, ws_ship_hdemo_sk, ws_web_page_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          │           t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_time_sk, ws_ship_hdemo_sk, ws_web_page_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          └──────────────────────────────────────────────────
            ┌───── Stage 1 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   FilterExec: wp_char_count@1 >= 5000 AND wp_char_count@1 <= 5200, projection=[wp_web_page_sk@0]
            │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_page/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_page/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_page/part-1.parquet:<int>..<int>]]}, projection=[wp_web_page_sk, wp_char_count], file_type=parquet, predicate=wp_char_count@10 >= 5000 AND wp_char_count@10 <= 5200, pruning_predicate=wp_char_count_null_count@1 != row_count@2 AND wp_char_count_max@0 >= 5000 AND wp_char_count_null_count@1 != row_count@2 AND wp_char_count_min@3 <= 5200, required_guarantees=[]
            │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_page/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_page/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_page/part-2.parquet:<int>..<int>]]}, projection=[wp_web_page_sk, wp_char_count], file_type=parquet, predicate=wp_char_count@10 >= 5000 AND wp_char_count@10 <= 5200, pruning_predicate=wp_char_count_null_count@1 != row_count@2 AND wp_char_count_max@0 >= 5000 AND wp_char_count_null_count@1 != row_count@2 AND wp_char_count_min@3 <= 5200, required_guarantees=[]
            │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_page/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_page/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_page/part-3.parquet:<int>..<int>]]}, projection=[wp_web_page_sk, wp_char_count], file_type=parquet, predicate=wp_char_count@10 >= 5000 AND wp_char_count@10 <= 5200, pruning_predicate=wp_char_count_null_count@1 != row_count@2 AND wp_char_count_max@0 >= 5000 AND wp_char_count_null_count@1 != row_count@2 AND wp_char_count_min@3 <= 5200, required_guarantees=[]
            │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_page/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_page/part-3.parquet:<int>..<int>]]}, projection=[wp_web_page_sk, wp_char_count], file_type=parquet, predicate=wp_char_count@10 >= 5000 AND wp_char_count@10 <= 5200, pruning_predicate=wp_char_count_null_count@1 != row_count@2 AND wp_char_count_max@0 >= 5000 AND wp_char_count_null_count@1 != row_count@2 AND wp_char_count_min@3 <= 5200, required_guarantees=[]
            └──────────────────────────────────────────────────
            ┌───── Stage 2 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   FilterExec: t_hour@1 >= 8 AND t_hour@1 <= 9, projection=[t_time_sk@0]
            │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/time_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/time_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/time_dim/part-2.parquet:<int>..<int>]]}, projection=[t_time_sk, t_hour], file_type=parquet, predicate=t_hour@3 >= 8 AND t_hour@3 <= 9, pruning_predicate=t_hour_null_count@1 != row_count@2 AND t_hour_max@0 >= 8 AND t_hour_null_count@1 != row_count@2 AND t_hour_min@3 <= 9, required_guarantees=[]
            │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/time_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/time_dim/part-2.parquet:<int>..<int>]]}, projection=[t_time_sk, t_hour], file_type=parquet, predicate=t_hour@3 >= 8 AND t_hour@3 <= 9, pruning_predicate=t_hour_null_count@1 != row_count@2 AND t_hour_max@0 >= 8 AND t_hour_null_count@1 != row_count@2 AND t_hour_min@3 <= 9, required_guarantees=[]
            │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/time_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/time_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/time_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/time_dim/part-3.parquet:<int>..<int>]]}, projection=[t_time_sk, t_hour], file_type=parquet, predicate=t_hour@3 >= 8 AND t_hour@3 <= 9, pruning_predicate=t_hour_null_count@1 != row_count@2 AND t_hour_max@0 >= 8 AND t_hour_null_count@1 != row_count@2 AND t_hour_min@3 <= 9, required_guarantees=[]
            │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/time_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/time_dim/part-3.parquet:<int>..<int>]]}, projection=[t_time_sk, t_hour], file_type=parquet, predicate=t_hour@3 >= 8 AND t_hour@3 <= 9, pruning_predicate=t_hour_null_count@1 != row_count@2 AND t_hour_max@0 >= 8 AND t_hour_null_count@1 != row_count@2 AND t_hour_min@3 <= 9, required_guarantees=[]
            └──────────────────────────────────────────────────
            ┌───── Stage 3 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   FilterExec: hd_dep_count@1 = 6, projection=[hd_demo_sk@0]
            │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_dep_count], file_type=parquet, predicate=hd_dep_count@3 = 6, pruning_predicate=hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 6 AND 6 <= hd_dep_count_max@1, required_guarantees=[hd_dep_count in (6)]
            │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_dep_count], file_type=parquet, predicate=hd_dep_count@3 = 6, pruning_predicate=hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 6 AND 6 <= hd_dep_count_max@1, required_guarantees=[hd_dep_count in (6)]
            │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_dep_count], file_type=parquet, predicate=hd_dep_count@3 = 6, pruning_predicate=hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 6 AND 6 <= hd_dep_count_max@1, required_guarantees=[hd_dep_count in (6)]
            │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-3.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_dep_count], file_type=parquet, predicate=hd_dep_count@3 = 6, pruning_predicate=hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 6 AND 6 <= hd_dep_count_max@1, required_guarantees=[hd_dep_count in (6)]
            └──────────────────────────────────────────────────
          ┌───── Stage 8 ── Tasks: t0:[p0..p2] t1:[p3..p5] t2:[p6..p8] t3:[p9..p11]
          │ AggregateExec: mode=Partial, gby=[], aggr=[count(Int64(1))]
          │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(wp_web_page_sk@0, ws_web_page_sk@0)], projection=[]
          │     CoalescePartitionsExec
          │       [Stage 5] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
          │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(t_time_sk@0, ws_sold_time_sk@0)], projection=[ws_web_page_sk@2]
          │       CoalescePartitionsExec
          │         [Stage 6] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
          │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(hd_demo_sk@0, ws_ship_hdemo_sk@1)], projection=[ws_sold_time_sk@1, ws_web_page_sk@3]
          │         CoalescePartitionsExec
          │           [Stage 7] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
          │         DistributedLeafExec:
          │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>]]}, projection=[ws_sold_time_sk, ws_ship_hdemo_sk, ws_web_page_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          │           t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_time_sk, ws_ship_hdemo_sk, ws_web_page_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          │           t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_time_sk, ws_ship_hdemo_sk, ws_web_page_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          │           t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_time_sk, ws_ship_hdemo_sk, ws_web_page_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          └──────────────────────────────────────────────────
            ┌───── Stage 5 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   FilterExec: wp_char_count@1 >= 5000 AND wp_char_count@1 <= 5200, projection=[wp_web_page_sk@0]
            │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_page/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_page/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_page/part-1.parquet:<int>..<int>]]}, projection=[wp_web_page_sk, wp_char_count], file_type=parquet, predicate=wp_char_count@10 >= 5000 AND wp_char_count@10 <= 5200, pruning_predicate=wp_char_count_null_count@1 != row_count@2 AND wp_char_count_max@0 >= 5000 AND wp_char_count_null_count@1 != row_count@2 AND wp_char_count_min@3 <= 5200, required_guarantees=[]
            │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_page/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_page/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_page/part-2.parquet:<int>..<int>]]}, projection=[wp_web_page_sk, wp_char_count], file_type=parquet, predicate=wp_char_count@10 >= 5000 AND wp_char_count@10 <= 5200, pruning_predicate=wp_char_count_null_count@1 != row_count@2 AND wp_char_count_max@0 >= 5000 AND wp_char_count_null_count@1 != row_count@2 AND wp_char_count_min@3 <= 5200, required_guarantees=[]
            │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_page/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_page/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_page/part-3.parquet:<int>..<int>]]}, projection=[wp_web_page_sk, wp_char_count], file_type=parquet, predicate=wp_char_count@10 >= 5000 AND wp_char_count@10 <= 5200, pruning_predicate=wp_char_count_null_count@1 != row_count@2 AND wp_char_count_max@0 >= 5000 AND wp_char_count_null_count@1 != row_count@2 AND wp_char_count_min@3 <= 5200, required_guarantees=[]
            │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_page/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_page/part-3.parquet:<int>..<int>]]}, projection=[wp_web_page_sk, wp_char_count], file_type=parquet, predicate=wp_char_count@10 >= 5000 AND wp_char_count@10 <= 5200, pruning_predicate=wp_char_count_null_count@1 != row_count@2 AND wp_char_count_max@0 >= 5000 AND wp_char_count_null_count@1 != row_count@2 AND wp_char_count_min@3 <= 5200, required_guarantees=[]
            └──────────────────────────────────────────────────
            ┌───── Stage 6 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   FilterExec: t_hour@1 >= 19 AND t_hour@1 <= 20, projection=[t_time_sk@0]
            │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/time_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/time_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/time_dim/part-2.parquet:<int>..<int>]]}, projection=[t_time_sk, t_hour], file_type=parquet, predicate=t_hour@3 >= 19 AND t_hour@3 <= 20, pruning_predicate=t_hour_null_count@1 != row_count@2 AND t_hour_max@0 >= 19 AND t_hour_null_count@1 != row_count@2 AND t_hour_min@3 <= 20, required_guarantees=[]
            │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/time_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/time_dim/part-2.parquet:<int>..<int>]]}, projection=[t_time_sk, t_hour], file_type=parquet, predicate=t_hour@3 >= 19 AND t_hour@3 <= 20, pruning_predicate=t_hour_null_count@1 != row_count@2 AND t_hour_max@0 >= 19 AND t_hour_null_count@1 != row_count@2 AND t_hour_min@3 <= 20, required_guarantees=[]
            │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/time_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/time_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/time_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/time_dim/part-3.parquet:<int>..<int>]]}, projection=[t_time_sk, t_hour], file_type=parquet, predicate=t_hour@3 >= 19 AND t_hour@3 <= 20, pruning_predicate=t_hour_null_count@1 != row_count@2 AND t_hour_max@0 >= 19 AND t_hour_null_count@1 != row_count@2 AND t_hour_min@3 <= 20, required_guarantees=[]
            │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/time_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/time_dim/part-3.parquet:<int>..<int>]]}, projection=[t_time_sk, t_hour], file_type=parquet, predicate=t_hour@3 >= 19 AND t_hour@3 <= 20, pruning_predicate=t_hour_null_count@1 != row_count@2 AND t_hour_max@0 >= 19 AND t_hour_null_count@1 != row_count@2 AND t_hour_min@3 <= 20, required_guarantees=[]
            └──────────────────────────────────────────────────
            ┌───── Stage 7 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   FilterExec: hd_dep_count@1 = 6, projection=[hd_demo_sk@0]
            │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_dep_count], file_type=parquet, predicate=hd_dep_count@3 = 6, pruning_predicate=hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 6 AND 6 <= hd_dep_count_max@1, required_guarantees=[hd_dep_count in (6)]
            │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_dep_count], file_type=parquet, predicate=hd_dep_count@3 = 6, pruning_predicate=hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 6 AND 6 <= hd_dep_count_max@1, required_guarantees=[hd_dep_count in (6)]
            │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_dep_count], file_type=parquet, predicate=hd_dep_count@3 = 6, pruning_predicate=hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 6 AND 6 <= hd_dep_count_max@1, required_guarantees=[hd_dep_count in (6)]
            │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-3.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_dep_count], file_type=parquet, predicate=hd_dep_count@3 = 6, pruning_predicate=hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 6 AND 6 <= hd_dep_count_max@1, required_guarantees=[hd_dep_count in (6)]
            └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_91() -> Result<()> {
        let display = test_tpcds_query("q91").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [returns_loss@3 DESC]
        │   [Stage 8] => NetworkCoalesceExec: output_partitions=6, input_tasks=2
        └──────────────────────────────────────────────────
          ┌───── Stage 8 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ SortExec: expr=[returns_loss@3 DESC], preserve_partitioning=[true]
          │   ProjectionExec: expr=[cc_call_center_id@0 as call_center, cc_name@1 as call_center_name, cc_manager@2 as manager, sum(catalog_returns.cr_net_loss)@5 as returns_loss]
          │     AggregateExec: mode=FinalPartitioned, gby=[cc_call_center_id@0 as cc_call_center_id, cc_name@1 as cc_name, cc_manager@2 as cc_manager, cd_marital_status@3 as cd_marital_status, cd_education_status@4 as cd_education_status], aggr=[sum(catalog_returns.cr_net_loss)]
          │       [Stage 7] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 7 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([cc_call_center_id@0, cc_name@1, cc_manager@2, cd_marital_status@3, cd_education_status@4], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[cc_call_center_id@0 as cc_call_center_id, cc_name@1 as cc_name, cc_manager@2 as cc_manager, cd_marital_status@4 as cd_marital_status, cd_education_status@5 as cd_education_status], aggr=[sum(catalog_returns.cr_net_loss)]
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(hd_demo_sk@0, c_current_hdemo_sk@4)], projection=[cc_call_center_id@1, cc_name@2, cc_manager@3, cr_net_loss@4, cd_marital_status@6, cd_education_status@7]
            │       CoalescePartitionsExec
            │         [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(c_current_cdemo_sk@4, cd_demo_sk@0)], projection=[cc_call_center_id@0, cc_name@1, cc_manager@2, cr_net_loss@3, c_current_hdemo_sk@5, cd_marital_status@7, cd_education_status@8]
            │         CoalescePartitionsExec
            │           [Stage 6] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │         FilterExec: cd_marital_status@1 = M AND cd_education_status@2 = Unknown OR cd_marital_status@1 = W AND cd_education_status@2 = Advanced Degree
            │           DistributedLeafExec:
            │             t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_marital_status, cd_education_status], file_type=parquet, predicate=(cd_marital_status@2 = M AND cd_education_status@3 = Unknown OR cd_marital_status@2 = W AND cd_education_status@3 = Advanced Degree) AND DynamicFilter [ empty ], pruning_predicate=cd_marital_status_null_count@2 != row_count@3 AND cd_marital_status_min@0 <= M AND M <= cd_marital_status_max@1 AND cd_education_status_null_count@6 != row_count@3 AND cd_education_status_min@4 <= Unknown AND Unknown <= cd_education_status_max@5 OR cd_marital_status_null_count@2 != row_count@3 AND cd_marital_status_min@0 <= W AND W <= cd_marital_status_max@1 AND cd_education_status_null_count@6 != row_count@3 AND cd_education_status_min@4 <= Advanced Degree AND Advanced Degree <= cd_education_status_max@5, required_guarantees=[cd_education_status in (Advanced Degree, Unknown), cd_marital_status in (M, W)]
            │             t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-3.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_marital_status, cd_education_status], file_type=parquet, predicate=(cd_marital_status@2 = M AND cd_education_status@3 = Unknown OR cd_marital_status@2 = W AND cd_education_status@3 = Advanced Degree) AND DynamicFilter [ empty ], pruning_predicate=cd_marital_status_null_count@2 != row_count@3 AND cd_marital_status_min@0 <= M AND M <= cd_marital_status_max@1 AND cd_education_status_null_count@6 != row_count@3 AND cd_education_status_min@4 <= Unknown AND Unknown <= cd_education_status_max@5 OR cd_marital_status_null_count@2 != row_count@3 AND cd_marital_status_min@0 <= W AND W <= cd_marital_status_max@1 AND cd_education_status_null_count@6 != row_count@3 AND cd_education_status_min@4 <= Advanced Degree AND Advanced Degree <= cd_education_status_max@5, required_guarantees=[cd_education_status in (Advanced Degree, Unknown), cd_marital_status in (M, W)]
            │             t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-3.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_marital_status, cd_education_status], file_type=parquet, predicate=(cd_marital_status@2 = M AND cd_education_status@3 = Unknown OR cd_marital_status@2 = W AND cd_education_status@3 = Advanced Degree) AND DynamicFilter [ empty ], pruning_predicate=cd_marital_status_null_count@2 != row_count@3 AND cd_marital_status_min@0 <= M AND M <= cd_marital_status_max@1 AND cd_education_status_null_count@6 != row_count@3 AND cd_education_status_min@4 <= Unknown AND Unknown <= cd_education_status_max@5 OR cd_marital_status_null_count@2 != row_count@3 AND cd_marital_status_min@0 <= W AND W <= cd_marital_status_max@1 AND cd_education_status_null_count@6 != row_count@3 AND cd_education_status_min@4 <= Advanced Degree AND Advanced Degree <= cd_education_status_max@5, required_guarantees=[cd_education_status in (Advanced Degree, Unknown), cd_marital_status in (M, W)]
            │             t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_demographics/part-3.parquet:<int>..<int>]]}, projection=[cd_demo_sk, cd_marital_status, cd_education_status], file_type=parquet, predicate=(cd_marital_status@2 = M AND cd_education_status@3 = Unknown OR cd_marital_status@2 = W AND cd_education_status@3 = Advanced Degree) AND DynamicFilter [ empty ], pruning_predicate=cd_marital_status_null_count@2 != row_count@3 AND cd_marital_status_min@0 <= M AND M <= cd_marital_status_max@1 AND cd_education_status_null_count@6 != row_count@3 AND cd_education_status_min@4 <= Unknown AND Unknown <= cd_education_status_max@5 OR cd_marital_status_null_count@2 != row_count@3 AND cd_marital_status_min@0 <= W AND W <= cd_marital_status_max@1 AND cd_education_status_null_count@6 != row_count@3 AND cd_education_status_min@4 <= Advanced Degree AND Advanced Degree <= cd_education_status_max@5, required_guarantees=[cd_education_status in (Advanced Degree, Unknown), cd_marital_status in (M, W)]
            └──────────────────────────────────────────────────
              ┌───── Stage 1 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: hd_buy_potential@1 LIKE Unknown%, projection=[hd_demo_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_buy_potential], file_type=parquet, predicate=hd_buy_potential@2 LIKE Unknown%, pruning_predicate=hd_buy_potential_null_count@2 != row_count@3 AND hd_buy_potential_min@0 <= Unknowo AND Unknown <= hd_buy_potential_max@1, required_guarantees=[]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_buy_potential], file_type=parquet, predicate=hd_buy_potential@2 LIKE Unknown%, pruning_predicate=hd_buy_potential_null_count@2 != row_count@3 AND hd_buy_potential_min@0 <= Unknowo AND Unknown <= hd_buy_potential_max@1, required_guarantees=[]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_buy_potential], file_type=parquet, predicate=hd_buy_potential@2 LIKE Unknown%, pruning_predicate=hd_buy_potential_null_count@2 != row_count@3 AND hd_buy_potential_min@0 <= Unknowo AND Unknown <= hd_buy_potential_max@1, required_guarantees=[]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-3.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_buy_potential], file_type=parquet, predicate=hd_buy_potential@2 LIKE Unknown%, pruning_predicate=hd_buy_potential_null_count@2 != row_count@3 AND hd_buy_potential_min@0 <= Unknowo AND Unknown <= hd_buy_potential_max@1, required_guarantees=[]
              └──────────────────────────────────────────────────
              ┌───── Stage 6 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(c_current_addr_sk@6, ca_address_sk@0)], projection=[cc_call_center_id@0, cc_name@1, cc_manager@2, cr_net_loss@3, c_current_cdemo_sk@4, c_current_hdemo_sk@5]
              │     CoalescePartitionsExec
              │       [Stage 5] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
              │     FilterExec: ca_gmt_offset@1 = Some(-700),5,2, projection=[ca_address_sk@0]
              │       RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │         DistributedLeafExec:
              │           t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_gmt_offset], file_type=parquet, predicate=ca_gmt_offset@11 = Some(-700),5,2 AND DynamicFilter [ empty ], pruning_predicate=ca_gmt_offset_null_count@2 != row_count@3 AND ca_gmt_offset_min@0 <= Some(-700),5,2 AND Some(-700),5,2 <= ca_gmt_offset_max@1, required_guarantees=[ca_gmt_offset in (Some(-700),5,2)]
              │           t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_gmt_offset], file_type=parquet, predicate=ca_gmt_offset@11 = Some(-700),5,2 AND DynamicFilter [ empty ], pruning_predicate=ca_gmt_offset_null_count@2 != row_count@3 AND ca_gmt_offset_min@0 <= Some(-700),5,2 AND Some(-700),5,2 <= ca_gmt_offset_max@1, required_guarantees=[ca_gmt_offset in (Some(-700),5,2)]
              │           t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_gmt_offset], file_type=parquet, predicate=ca_gmt_offset@11 = Some(-700),5,2 AND DynamicFilter [ empty ], pruning_predicate=ca_gmt_offset_null_count@2 != row_count@3 AND ca_gmt_offset_min@0 <= Some(-700),5,2 AND Some(-700),5,2 <= ca_gmt_offset_max@1, required_guarantees=[ca_gmt_offset in (Some(-700),5,2)]
              │           t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_gmt_offset], file_type=parquet, predicate=ca_gmt_offset@11 = Some(-700),5,2 AND DynamicFilter [ empty ], pruning_predicate=ca_gmt_offset_null_count@2 != row_count@3 AND ca_gmt_offset_min@0 <= Some(-700),5,2 AND Some(-700),5,2 <= ca_gmt_offset_max@1, required_guarantees=[ca_gmt_offset in (Some(-700),5,2)]
              └──────────────────────────────────────────────────
                ┌───── Stage 5 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(cr_returning_customer_sk@3, c_customer_sk@0)], projection=[cc_call_center_id@0, cc_name@1, cc_manager@2, cr_net_loss@4, c_current_cdemo_sk@6, c_current_hdemo_sk@7, c_current_addr_sk@8]
                │     CoalescePartitionsExec
                │       [Stage 4] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
                │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                │       DistributedLeafExec:
                │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_cdemo_sk, c_current_hdemo_sk, c_current_addr_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_cdemo_sk, c_current_hdemo_sk, c_current_addr_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_cdemo_sk, c_current_hdemo_sk, c_current_addr_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer/part-3.parquet:<int>..<int>]]}, projection=[c_customer_sk, c_current_cdemo_sk, c_current_hdemo_sk, c_current_addr_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                └──────────────────────────────────────────────────
                  ┌───── Stage 4 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                  │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                  │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, cr_returned_date_sk@3)], projection=[cc_call_center_id@1, cc_name@2, cc_manager@3, cr_returning_customer_sk@5, cr_net_loss@6]
                  │     CoalescePartitionsExec
                  │       [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
                  │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(cc_call_center_sk@0, cr_call_center_sk@2)], projection=[cc_call_center_id@1, cc_name@2, cc_manager@3, cr_returned_date_sk@4, cr_returning_customer_sk@5, cr_net_loss@7]
                  │       CoalescePartitionsExec
                  │         [Stage 3] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
                  │       DistributedLeafExec:
                  │         t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>]]}, projection=[cr_returned_date_sk, cr_returning_customer_sk, cr_call_center_sk, cr_net_loss], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                  │         t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-3.parquet:<int>..<int>]]}, projection=[cr_returned_date_sk, cr_returning_customer_sk, cr_call_center_sk, cr_net_loss], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                  │         t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-3.parquet:<int>..<int>]]}, projection=[cr_returned_date_sk, cr_returning_customer_sk, cr_call_center_sk, cr_net_loss], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                  │         t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_returns/part-3.parquet:<int>..<int>]]}, projection=[cr_returned_date_sk, cr_returning_customer_sk, cr_call_center_sk, cr_net_loss], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
                  └──────────────────────────────────────────────────
                    ┌───── Stage 2 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
                    │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
                    │   FilterExec: d_year@1 = 1998 AND d_moy@2 = 11, projection=[d_date_sk@0]
                    │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
                    │       DistributedLeafExec:
                    │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1998 AND d_moy@8 = 11, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 11 AND 11 <= d_moy_max@5, required_guarantees=[d_moy in (11), d_year in (1998)]
                    │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1998 AND d_moy@8 = 11, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 11 AND 11 <= d_moy_max@5, required_guarantees=[d_moy in (11), d_year in (1998)]
                    │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1998 AND d_moy@8 = 11, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 11 AND 11 <= d_moy_max@5, required_guarantees=[d_moy in (11), d_year in (1998)]
                    │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_year, d_moy], file_type=parquet, predicate=d_year@6 = 1998 AND d_moy@8 = 11, pruning_predicate=d_year_null_count@2 != row_count@3 AND d_year_min@0 <= 1998 AND 1998 <= d_year_max@1 AND d_moy_null_count@6 != row_count@3 AND d_moy_min@4 <= 11 AND 11 <= d_moy_max@5, required_guarantees=[d_moy in (11), d_year in (1998)]
                    └──────────────────────────────────────────────────
                    ┌───── Stage 3 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
                    │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
                    │   DistributedLeafExec:
                    │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/call_center/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/call_center/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/call_center/part-1.parquet:<int>..<int>]]}, projection=[cc_call_center_sk, cc_call_center_id, cc_name, cc_manager], file_type=parquet
                    │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/call_center/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/call_center/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/call_center/part-2.parquet:<int>..<int>]]}, projection=[cc_call_center_sk, cc_call_center_id, cc_name, cc_manager], file_type=parquet
                    │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/call_center/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/call_center/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/call_center/part-3.parquet:<int>..<int>]]}, projection=[cc_call_center_sk, cc_call_center_id, cc_name, cc_manager], file_type=parquet
                    │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/call_center/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/call_center/part-3.parquet:<int>..<int>]]}, projection=[cc_call_center_sk, cc_call_center_id, cc_name, cc_manager], file_type=parquet
                    └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_92() -> Result<()> {
        let display = test_tpcds_query("q92").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ ProjectionExec: expr=[sum(web_sales.ws_ext_discount_amt)@0 as Excess Discount Amount]
        │   GlobalLimitExec: skip=0, fetch=100
        │     AggregateExec: mode=Final, gby=[], aggr=[sum(web_sales.ws_ext_discount_amt)]
        │       CoalescePartitionsExec
        │         [Stage 6] => NetworkCoalesceExec: output_partitions=12, input_tasks=4
        └──────────────────────────────────────────────────
          ┌───── Stage 6 ── Tasks: t0:[p0..p2] t1:[p0..p2] t2:[p0..p2] t3:[p0..p2]
          │ AggregateExec: mode=Partial, gby=[], aggr=[sum(web_sales.ws_ext_discount_amt)]
          │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@1, ws_item_sk@1)], filter=CAST(ws_ext_discount_amt@0 AS Decimal128(30, 15)) > Float64(1.3) * avg(web_sales.ws_ext_discount_amt)@1, projection=[ws_ext_discount_amt@0]
          │     CoalescePartitionsExec
          │       [Stage 3] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
          │     ProjectionExec: expr=[CAST(1.3 * CAST(avg(web_sales.ws_ext_discount_amt)@1 AS Float64) AS Decimal128(30, 15)) as Float64(1.3) * avg(web_sales.ws_ext_discount_amt), ws_item_sk@0 as ws_item_sk]
          │       AggregateExec: mode=FinalPartitioned, gby=[ws_item_sk@0 as ws_item_sk], aggr=[avg(web_sales.ws_ext_discount_amt)]
          │         [Stage 5] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 3 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ws_sold_date_sk@0)], projection=[ws_ext_discount_amt@2, i_item_sk@3]
            │     CoalescePartitionsExec
            │       [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, ws_item_sk@1)], projection=[ws_sold_date_sk@1, ws_ext_discount_amt@3, i_item_sk@0]
            │       CoalescePartitionsExec
            │         [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_ext_discount_amt], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │         t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_ext_discount_amt], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │         t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_ext_discount_amt], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │         t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_ext_discount_amt], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 1 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_date@1 >= 2000-01-27 AND d_date@1 <= 2000-04-26, projection=[d_date_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-01-27 AND d_date@2 <= 2000-04-26, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-01-27 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-04-26, required_guarantees=[]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-01-27 AND d_date@2 <= 2000-04-26, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-01-27 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-04-26, required_guarantees=[]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-01-27 AND d_date@2 <= 2000-04-26, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-01-27 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-04-26, required_guarantees=[]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-01-27 AND d_date@2 <= 2000-04-26, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-01-27 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-04-26, required_guarantees=[]
              └──────────────────────────────────────────────────
              ┌───── Stage 2 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: i_manufact_id@1 = 350, projection=[i_item_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_manufact_id], file_type=parquet, predicate=i_manufact_id@13 = 350, pruning_predicate=i_manufact_id_null_count@2 != row_count@3 AND i_manufact_id_min@0 <= 350 AND 350 <= i_manufact_id_max@1, required_guarantees=[i_manufact_id in (350)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_manufact_id], file_type=parquet, predicate=i_manufact_id@13 = 350, pruning_predicate=i_manufact_id_null_count@2 != row_count@3 AND i_manufact_id_min@0 <= 350 AND 350 <= i_manufact_id_max@1, required_guarantees=[i_manufact_id in (350)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_manufact_id], file_type=parquet, predicate=i_manufact_id@13 = 350, pruning_predicate=i_manufact_id_null_count@2 != row_count@3 AND i_manufact_id_min@0 <= 350 AND 350 <= i_manufact_id_max@1, required_guarantees=[i_manufact_id in (350)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_manufact_id], file_type=parquet, predicate=i_manufact_id@13 = 350, pruning_predicate=i_manufact_id_null_count@2 != row_count@3 AND i_manufact_id_min@0 <= 350 AND 350 <= i_manufact_id_max@1, required_guarantees=[i_manufact_id in (350)]
              └──────────────────────────────────────────────────
            ┌───── Stage 5 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
            │ RepartitionExec: partitioning=Hash([ws_item_sk@0], 12), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[ws_item_sk@0 as ws_item_sk], aggr=[avg(web_sales.ws_ext_discount_amt)]
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ws_sold_date_sk@0)], projection=[ws_item_sk@2, ws_ext_discount_amt@3]
            │       CoalescePartitionsExec
            │         [Stage 4] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_ext_discount_amt], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │         t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_ext_discount_amt], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │         t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_ext_discount_amt], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │         t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_sold_date_sk, ws_item_sk, ws_ext_discount_amt], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 4 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_date@1 >= 2000-01-27 AND d_date@1 <= 2000-04-26, projection=[d_date_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-01-27 AND d_date@2 <= 2000-04-26, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-01-27 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-04-26, required_guarantees=[]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-01-27 AND d_date@2 <= 2000-04-26, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-01-27 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-04-26, required_guarantees=[]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-01-27 AND d_date@2 <= 2000-04-26, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-01-27 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-04-26, required_guarantees=[]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 2000-01-27 AND d_date@2 <= 2000-04-26, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 2000-01-27 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 2000-04-26, required_guarantees=[]
              └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_93() -> Result<()> {
        let display = test_tpcds_query("q93").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [sumsales@1 ASC, ss_customer_sk@0 ASC], fetch=100
        │   [Stage 5] => NetworkCoalesceExec: output_partitions=6, input_tasks=2
        └──────────────────────────────────────────────────
          ┌───── Stage 5 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ SortExec: TopK(fetch=100), expr=[sumsales@1 ASC, ss_customer_sk@0 ASC], preserve_partitioning=[true]
          │   ProjectionExec: expr=[ss_customer_sk@0 as ss_customer_sk, sum(t.act_sales)@1 as sumsales]
          │     AggregateExec: mode=FinalPartitioned, gby=[ss_customer_sk@0 as ss_customer_sk], aggr=[sum(t.act_sales)]
          │       [Stage 4] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 4 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([ss_customer_sk@0], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[ss_customer_sk@0 as ss_customer_sk], aggr=[sum(t.act_sales)]
            │     ProjectionExec: expr=[ss_customer_sk@0 as ss_customer_sk, CASE WHEN sr_return_quantity@1 IS NOT NULL THEN CAST(ss_quantity@2 - sr_return_quantity@1 AS Decimal128(10, 0)) * ss_sales_price@3 ELSE CAST(ss_quantity@2 AS Decimal128(10, 0)) * ss_sales_price@3 END as act_sales]
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(r_reason_sk@0, sr_reason_sk@3)], projection=[ss_customer_sk@1, sr_return_quantity@5, ss_quantity@2, ss_sales_price@3]
            │         CoalescePartitionsExec
            │           [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │         HashJoinExec: mode=Partitioned, join_type=Right, on=[(sr_item_sk@0, ss_item_sk@0), (sr_ticket_number@2, ss_ticket_number@2)], projection=[ss_customer_sk@5, ss_quantity@7, ss_sales_price@8, sr_reason_sk@1, sr_return_quantity@3]
            │           [Stage 2] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            │           [Stage 3] => NetworkShuffleExec: output_partitions=3, input_tasks=4
            └──────────────────────────────────────────────────
              ┌───── Stage 1 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: r_reason_desc@1 = reason 28, projection=[r_reason_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/reason/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/reason/part-0.parquet:<int>..<int>]]}, projection=[r_reason_sk, r_reason_desc], file_type=parquet, predicate=r_reason_desc@2 = reason 28, pruning_predicate=r_reason_desc_null_count@2 != row_count@3 AND r_reason_desc_min@0 <= reason 28 AND reason 28 <= r_reason_desc_max@1, required_guarantees=[r_reason_desc in (reason 28)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/reason/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/reason/part-0.parquet:<int>..<int>]]}, projection=[r_reason_sk, r_reason_desc], file_type=parquet, predicate=r_reason_desc@2 = reason 28, pruning_predicate=r_reason_desc_null_count@2 != row_count@3 AND r_reason_desc_min@0 <= reason 28 AND reason 28 <= r_reason_desc_max@1, required_guarantees=[r_reason_desc in (reason 28)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/reason/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/reason/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/reason/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/reason/part-2.parquet:<int>..<int>]]}, projection=[r_reason_sk, r_reason_desc], file_type=parquet, predicate=r_reason_desc@2 = reason 28, pruning_predicate=r_reason_desc_null_count@2 != row_count@3 AND r_reason_desc_min@0 <= reason 28 AND reason 28 <= r_reason_desc_max@1, required_guarantees=[r_reason_desc in (reason 28)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/reason/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/reason/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/reason/part-3.parquet:<int>..<int>]]}, projection=[r_reason_sk, r_reason_desc], file_type=parquet, predicate=r_reason_desc@2 = reason 28, pruning_predicate=r_reason_desc_null_count@2 != row_count@3 AND r_reason_desc_min@0 <= reason 28 AND reason 28 <= r_reason_desc_max@1, required_guarantees=[r_reason_desc in (reason 28)]
              └──────────────────────────────────────────────────
              ┌───── Stage 2 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
              │ RepartitionExec: partitioning=Hash([sr_item_sk@0, sr_ticket_number@2], 12), input_partitions=3
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>]]}, projection=[sr_item_sk, sr_reason_sk, sr_ticket_number, sr_return_quantity], file_type=parquet
              │     t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-3.parquet:<int>..<int>]]}, projection=[sr_item_sk, sr_reason_sk, sr_ticket_number, sr_return_quantity], file_type=parquet
              │     t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-3.parquet:<int>..<int>]]}, projection=[sr_item_sk, sr_reason_sk, sr_ticket_number, sr_return_quantity], file_type=parquet
              │     t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_returns/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_returns/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_returns/part-3.parquet:<int>..<int>]]}, projection=[sr_item_sk, sr_reason_sk, sr_ticket_number, sr_return_quantity], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 3 ── Tasks: t0:[p0..p11] t1:[p0..p11] t2:[p0..p11] t3:[p0..p11]
              │ RepartitionExec: partitioning=Hash([ss_item_sk@0, ss_ticket_number@2], 12), input_partitions=3
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_item_sk, ss_customer_sk, ss_ticket_number, ss_quantity, ss_sales_price], file_type=parquet
              │     t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_item_sk, ss_customer_sk, ss_ticket_number, ss_quantity, ss_sales_price], file_type=parquet
              │     t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_item_sk, ss_customer_sk, ss_ticket_number, ss_quantity, ss_sales_price], file_type=parquet
              │     t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_item_sk, ss_customer_sk, ss_ticket_number, ss_quantity, ss_sales_price], file_type=parquet
              └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_94() -> Result<()> {
        let display = test_tpcds_query("q94").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ ProjectionExec: expr=[count(alias1)@0 as order count, sum(alias2)@1 as total shipping cost, sum(alias3)@2 as total net profit]
        │   GlobalLimitExec: skip=0, fetch=100
        │     AggregateExec: mode=Final, gby=[], aggr=[count(alias1), sum(alias2), sum(alias3)]
        │       CoalescePartitionsExec
        │         AggregateExec: mode=Partial, gby=[], aggr=[count(alias1), sum(alias2), sum(alias3)]
        │           AggregateExec: mode=FinalPartitioned, gby=[alias1@0 as alias1], aggr=[sum(ws1.ws_ext_ship_cost) as alias2, sum(ws1.ws_net_profit) as alias3]
        │             RepartitionExec: partitioning=Hash([alias1@0], 3), input_partitions=3
        │               AggregateExec: mode=Partial, gby=[ws_order_number@0 as alias1], aggr=[sum(ws1.ws_ext_ship_cost) as alias2, sum(ws1.ws_net_profit) as alias3]
        │                 HashJoinExec: mode=CollectLeft, join_type=LeftAnti, on=[(ws_order_number@0, wr_order_number@0)]
        │                   CoalescePartitionsExec
        │                     HashJoinExec: mode=CollectLeft, join_type=LeftSemi, on=[(ws_order_number@1, ws_order_number@1)], filter=ws_warehouse_sk@0 != ws_warehouse_sk@1, projection=[ws_order_number@1, ws_ext_ship_cost@2, ws_net_profit@3]
        │                       CoalescePartitionsExec
        │                         [Stage 4] => NetworkCoalesceExec: output_partitions=12, input_tasks=4
        │                       DistributedLeafExec:
        │                         t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_warehouse_sk, ws_order_number], file_type=parquet, predicate=DynamicFilter [ empty ]
        │                   RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
        │                     DistributedLeafExec:
        │                       t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_returns/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_returns/part-3.parquet:<int>..<int>]]}, projection=[wr_order_number], file_type=parquet, predicate=DynamicFilter [ empty ]
        └──────────────────────────────────────────────────
          ┌───── Stage 4 ── Tasks: t0:[p0..p2] t1:[p3..p5] t2:[p6..p8] t3:[p9..p11]
          │ HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(web_site_sk@0, ws_web_site_sk@0)], projection=[ws_warehouse_sk@2, ws_order_number@3, ws_ext_ship_cost@4, ws_net_profit@5]
          │   CoalescePartitionsExec
          │     [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
          │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(ca_address_sk@0, ws_ship_addr_sk@0)], projection=[ws_web_site_sk@2, ws_warehouse_sk@3, ws_order_number@4, ws_ext_ship_cost@5, ws_net_profit@6]
          │     CoalescePartitionsExec
          │       [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
          │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ws_ship_date_sk@0)], projection=[ws_ship_addr_sk@2, ws_web_site_sk@3, ws_warehouse_sk@4, ws_order_number@5, ws_ext_ship_cost@6, ws_net_profit@7]
          │       CoalescePartitionsExec
          │         [Stage 3] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
          │       DistributedLeafExec:
          │         t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>]]}, projection=[ws_ship_date_sk, ws_ship_addr_sk, ws_web_site_sk, ws_warehouse_sk, ws_order_number, ws_ext_ship_cost, ws_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          │         t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_ship_date_sk, ws_ship_addr_sk, ws_web_site_sk, ws_warehouse_sk, ws_order_number, ws_ext_ship_cost, ws_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          │         t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_ship_date_sk, ws_ship_addr_sk, ws_web_site_sk, ws_warehouse_sk, ws_order_number, ws_ext_ship_cost, ws_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          │         t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_ship_date_sk, ws_ship_addr_sk, ws_web_site_sk, ws_warehouse_sk, ws_order_number, ws_ext_ship_cost, ws_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          └──────────────────────────────────────────────────
            ┌───── Stage 1 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   FilterExec: web_company_name@1 = pri, projection=[web_site_sk@0]
            │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_site/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_site/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_site/part-1.parquet:<int>..<int>]]}, projection=[web_site_sk, web_company_name], file_type=parquet, predicate=web_company_name@14 = pri, pruning_predicate=web_company_name_null_count@2 != row_count@3 AND web_company_name_min@0 <= pri AND pri <= web_company_name_max@1, required_guarantees=[web_company_name in (pri)]
            │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_site/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_site/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_site/part-2.parquet:<int>..<int>]]}, projection=[web_site_sk, web_company_name], file_type=parquet, predicate=web_company_name@14 = pri, pruning_predicate=web_company_name_null_count@2 != row_count@3 AND web_company_name_min@0 <= pri AND pri <= web_company_name_max@1, required_guarantees=[web_company_name in (pri)]
            │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_site/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_site/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_site/part-3.parquet:<int>..<int>]]}, projection=[web_site_sk, web_company_name], file_type=parquet, predicate=web_company_name@14 = pri, pruning_predicate=web_company_name_null_count@2 != row_count@3 AND web_company_name_min@0 <= pri AND pri <= web_company_name_max@1, required_guarantees=[web_company_name in (pri)]
            │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_site/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_site/part-3.parquet:<int>..<int>]]}, projection=[web_site_sk, web_company_name], file_type=parquet, predicate=web_company_name@14 = pri, pruning_predicate=web_company_name_null_count@2 != row_count@3 AND web_company_name_min@0 <= pri AND pri <= web_company_name_max@1, required_guarantees=[web_company_name in (pri)]
            └──────────────────────────────────────────────────
            ┌───── Stage 2 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   FilterExec: ca_state@1 = IL, projection=[ca_address_sk@0]
            │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_state], file_type=parquet, predicate=ca_state@8 = IL, pruning_predicate=ca_state_null_count@2 != row_count@3 AND ca_state_min@0 <= IL AND IL <= ca_state_max@1, required_guarantees=[ca_state in (IL)]
            │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_state], file_type=parquet, predicate=ca_state@8 = IL, pruning_predicate=ca_state_null_count@2 != row_count@3 AND ca_state_min@0 <= IL AND IL <= ca_state_max@1, required_guarantees=[ca_state in (IL)]
            │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_state], file_type=parquet, predicate=ca_state@8 = IL, pruning_predicate=ca_state_null_count@2 != row_count@3 AND ca_state_min@0 <= IL AND IL <= ca_state_max@1, required_guarantees=[ca_state in (IL)]
            │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_state], file_type=parquet, predicate=ca_state@8 = IL, pruning_predicate=ca_state_null_count@2 != row_count@3 AND ca_state_min@0 <= IL AND IL <= ca_state_max@1, required_guarantees=[ca_state in (IL)]
            └──────────────────────────────────────────────────
            ┌───── Stage 3 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   FilterExec: d_date@1 >= 1999-02-01 AND d_date@1 <= 1999-04-02, projection=[d_date_sk@0]
            │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 1999-02-01 AND d_date@2 <= 1999-04-02, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 1999-02-01 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 1999-04-02, required_guarantees=[]
            │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 1999-02-01 AND d_date@2 <= 1999-04-02, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 1999-02-01 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 1999-04-02, required_guarantees=[]
            │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 1999-02-01 AND d_date@2 <= 1999-04-02, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 1999-02-01 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 1999-04-02, required_guarantees=[]
            │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 1999-02-01 AND d_date@2 <= 1999-04-02, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 1999-02-01 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 1999-04-02, required_guarantees=[]
            └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_95() -> Result<()> {
        let display = test_tpcds_query("q95").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ ProjectionExec: expr=[count(alias1)@0 as order count, sum(alias2)@1 as total shipping cost, sum(alias3)@2 as total net profit]
        │   GlobalLimitExec: skip=0, fetch=100
        │     AggregateExec: mode=Final, gby=[], aggr=[count(alias1), sum(alias2), sum(alias3)]
        │       CoalescePartitionsExec
        │         AggregateExec: mode=Partial, gby=[], aggr=[count(alias1), sum(alias2), sum(alias3)]
        │           AggregateExec: mode=FinalPartitioned, gby=[alias1@0 as alias1], aggr=[sum(ws1.ws_ext_ship_cost) as alias2, sum(ws1.ws_net_profit) as alias3]
        │             RepartitionExec: partitioning=Hash([alias1@0], 3), input_partitions=3
        │               AggregateExec: mode=Partial, gby=[ws_order_number@0 as alias1], aggr=[sum(ws1.ws_ext_ship_cost) as alias2, sum(ws1.ws_net_profit) as alias3]
        │                 HashJoinExec: mode=CollectLeft, join_type=LeftSemi, on=[(ws_order_number@0, wr_order_number@0)]
        │                   CoalescePartitionsExec
        │                     HashJoinExec: mode=CollectLeft, join_type=LeftSemi, on=[(ws_order_number@0, ws_order_number@0)]
        │                       CoalescePartitionsExec
        │                         [Stage 4] => NetworkCoalesceExec: output_partitions=12, input_tasks=4
        │                       HashJoinExec: mode=Partitioned, join_type=Inner, on=[(ws_order_number@1, ws_order_number@1)], filter=ws_warehouse_sk@1 != ws_warehouse_sk@0, projection=[ws_order_number@1]
        │                         [Stage 5] => NetworkShuffleExec: output_partitions=3, input_tasks=4
        │                         [Stage 6] => NetworkShuffleExec: output_partitions=3, input_tasks=4
        │                   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(wr_order_number@0, ws_order_number@0)], projection=[wr_order_number@0]
        │                     CoalescePartitionsExec
        │                       [Stage 7] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=2, input_tasks=4
        │                     HashJoinExec: mode=Partitioned, join_type=Inner, on=[(ws_order_number@1, ws_order_number@1)], filter=ws_warehouse_sk@1 != ws_warehouse_sk@0, projection=[ws_order_number@1]
        │                       [Stage 8] => NetworkShuffleExec: output_partitions=3, input_tasks=4
        │                       [Stage 9] => NetworkShuffleExec: output_partitions=3, input_tasks=4
        └──────────────────────────────────────────────────
          ┌───── Stage 4 ── Tasks: t0:[p0..p2] t1:[p3..p5] t2:[p6..p8] t3:[p9..p11]
          │ HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(web_site_sk@0, ws_web_site_sk@0)], projection=[ws_order_number@2, ws_ext_ship_cost@3, ws_net_profit@4]
          │   CoalescePartitionsExec
          │     [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
          │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(ca_address_sk@0, ws_ship_addr_sk@0)], projection=[ws_web_site_sk@2, ws_order_number@3, ws_ext_ship_cost@4, ws_net_profit@5]
          │     CoalescePartitionsExec
          │       [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
          │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ws_ship_date_sk@0)], projection=[ws_ship_addr_sk@2, ws_web_site_sk@3, ws_order_number@4, ws_ext_ship_cost@5, ws_net_profit@6]
          │       CoalescePartitionsExec
          │         [Stage 3] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
          │       DistributedLeafExec:
          │         t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>]]}, projection=[ws_ship_date_sk, ws_ship_addr_sk, ws_web_site_sk, ws_order_number, ws_ext_ship_cost, ws_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          │         t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_ship_date_sk, ws_ship_addr_sk, ws_web_site_sk, ws_order_number, ws_ext_ship_cost, ws_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          │         t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_ship_date_sk, ws_ship_addr_sk, ws_web_site_sk, ws_order_number, ws_ext_ship_cost, ws_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          │         t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_ship_date_sk, ws_ship_addr_sk, ws_web_site_sk, ws_order_number, ws_ext_ship_cost, ws_net_profit], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          └──────────────────────────────────────────────────
            ┌───── Stage 1 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   FilterExec: web_company_name@1 = pri, projection=[web_site_sk@0]
            │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_site/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_site/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_site/part-1.parquet:<int>..<int>]]}, projection=[web_site_sk, web_company_name], file_type=parquet, predicate=web_company_name@14 = pri, pruning_predicate=web_company_name_null_count@2 != row_count@3 AND web_company_name_min@0 <= pri AND pri <= web_company_name_max@1, required_guarantees=[web_company_name in (pri)]
            │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_site/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_site/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_site/part-2.parquet:<int>..<int>]]}, projection=[web_site_sk, web_company_name], file_type=parquet, predicate=web_company_name@14 = pri, pruning_predicate=web_company_name_null_count@2 != row_count@3 AND web_company_name_min@0 <= pri AND pri <= web_company_name_max@1, required_guarantees=[web_company_name in (pri)]
            │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_site/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_site/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_site/part-3.parquet:<int>..<int>]]}, projection=[web_site_sk, web_company_name], file_type=parquet, predicate=web_company_name@14 = pri, pruning_predicate=web_company_name_null_count@2 != row_count@3 AND web_company_name_min@0 <= pri AND pri <= web_company_name_max@1, required_guarantees=[web_company_name in (pri)]
            │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_site/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_site/part-3.parquet:<int>..<int>]]}, projection=[web_site_sk, web_company_name], file_type=parquet, predicate=web_company_name@14 = pri, pruning_predicate=web_company_name_null_count@2 != row_count@3 AND web_company_name_min@0 <= pri AND pri <= web_company_name_max@1, required_guarantees=[web_company_name in (pri)]
            └──────────────────────────────────────────────────
            ┌───── Stage 2 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   FilterExec: ca_state@1 = IL, projection=[ca_address_sk@0]
            │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_state], file_type=parquet, predicate=ca_state@8 = IL, pruning_predicate=ca_state_null_count@2 != row_count@3 AND ca_state_min@0 <= IL AND IL <= ca_state_max@1, required_guarantees=[ca_state in (IL)]
            │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_state], file_type=parquet, predicate=ca_state@8 = IL, pruning_predicate=ca_state_null_count@2 != row_count@3 AND ca_state_min@0 <= IL AND IL <= ca_state_max@1, required_guarantees=[ca_state in (IL)]
            │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_state], file_type=parquet, predicate=ca_state@8 = IL, pruning_predicate=ca_state_null_count@2 != row_count@3 AND ca_state_min@0 <= IL AND IL <= ca_state_max@1, required_guarantees=[ca_state in (IL)]
            │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/customer_address/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/customer_address/part-3.parquet:<int>..<int>]]}, projection=[ca_address_sk, ca_state], file_type=parquet, predicate=ca_state@8 = IL, pruning_predicate=ca_state_null_count@2 != row_count@3 AND ca_state_min@0 <= IL AND IL <= ca_state_max@1, required_guarantees=[ca_state in (IL)]
            └──────────────────────────────────────────────────
            ┌───── Stage 3 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   FilterExec: d_date@1 >= 1999-02-01 AND d_date@1 <= 1999-04-02, projection=[d_date_sk@0]
            │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 1999-02-01 AND d_date@2 <= 1999-04-02, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 1999-02-01 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 1999-04-02, required_guarantees=[]
            │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 1999-02-01 AND d_date@2 <= 1999-04-02, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 1999-02-01 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 1999-04-02, required_guarantees=[]
            │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 1999-02-01 AND d_date@2 <= 1999-04-02, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 1999-02-01 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 1999-04-02, required_guarantees=[]
            │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 1999-02-01 AND d_date@2 <= 1999-04-02, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 1999-02-01 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 1999-04-02, required_guarantees=[]
            └──────────────────────────────────────────────────
          ┌───── Stage 5 ── Tasks: t0:[p0..p2] t1:[p0..p2] t2:[p0..p2] t3:[p0..p2]
          │ RepartitionExec: partitioning=Hash([ws_order_number@1], 3), input_partitions=3
          │   DistributedLeafExec:
          │     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>]]}, projection=[ws_warehouse_sk, ws_order_number], file_type=parquet, predicate=DynamicFilter [ empty ]
          │     t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_warehouse_sk, ws_order_number], file_type=parquet, predicate=DynamicFilter [ empty ]
          │     t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_warehouse_sk, ws_order_number], file_type=parquet, predicate=DynamicFilter [ empty ]
          │     t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_warehouse_sk, ws_order_number], file_type=parquet, predicate=DynamicFilter [ empty ]
          └──────────────────────────────────────────────────
          ┌───── Stage 6 ── Tasks: t0:[p0..p2] t1:[p0..p2] t2:[p0..p2] t3:[p0..p2]
          │ RepartitionExec: partitioning=Hash([ws_order_number@1], 3), input_partitions=3
          │   DistributedLeafExec:
          │     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>]]}, projection=[ws_warehouse_sk, ws_order_number], file_type=parquet, predicate=DynamicFilter [ empty ]
          │     t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_warehouse_sk, ws_order_number], file_type=parquet, predicate=DynamicFilter [ empty ]
          │     t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_warehouse_sk, ws_order_number], file_type=parquet, predicate=DynamicFilter [ empty ]
          │     t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_warehouse_sk, ws_order_number], file_type=parquet, predicate=DynamicFilter [ empty ]
          └──────────────────────────────────────────────────
          ┌───── Stage 7 ── Tasks: t0:[p0..p1] t1:[p2..p3] t2:[p4..p5] t3:[p6..p7]
          │ BroadcastExec: input_partitions=2, consumer_tasks=1, output_partitions=2
          │   DistributedLeafExec:
          │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_returns/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_returns/part-2.parquet:<int>..<int>]]}, projection=[wr_order_number], file_type=parquet, predicate=DynamicFilter [ empty ]
          │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_returns/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_returns/part-2.parquet:<int>..<int>]]}, projection=[wr_order_number], file_type=parquet, predicate=DynamicFilter [ empty ]
          │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_returns/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_returns/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_returns/part-3.parquet:<int>..<int>]]}, projection=[wr_order_number], file_type=parquet, predicate=DynamicFilter [ empty ]
          │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_returns/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_returns/part-3.parquet:<int>..<int>]]}, projection=[wr_order_number], file_type=parquet, predicate=DynamicFilter [ empty ]
          └──────────────────────────────────────────────────
          ┌───── Stage 8 ── Tasks: t0:[p0..p2] t1:[p0..p2] t2:[p0..p2] t3:[p0..p2]
          │ RepartitionExec: partitioning=Hash([ws_order_number@1], 3), input_partitions=3
          │   DistributedLeafExec:
          │     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>]]}, projection=[ws_warehouse_sk, ws_order_number], file_type=parquet, predicate=DynamicFilter [ empty ]
          │     t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_warehouse_sk, ws_order_number], file_type=parquet, predicate=DynamicFilter [ empty ]
          │     t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_warehouse_sk, ws_order_number], file_type=parquet, predicate=DynamicFilter [ empty ]
          │     t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_warehouse_sk, ws_order_number], file_type=parquet, predicate=DynamicFilter [ empty ]
          └──────────────────────────────────────────────────
          ┌───── Stage 9 ── Tasks: t0:[p0..p2] t1:[p0..p2] t2:[p0..p2] t3:[p0..p2]
          │ RepartitionExec: partitioning=Hash([ws_order_number@1], 3), input_partitions=3
          │   DistributedLeafExec:
          │     t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>]]}, projection=[ws_warehouse_sk, ws_order_number], file_type=parquet, predicate=DynamicFilter [ empty ]
          │     t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_warehouse_sk, ws_order_number], file_type=parquet, predicate=DynamicFilter [ empty ]
          │     t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_warehouse_sk, ws_order_number], file_type=parquet, predicate=DynamicFilter [ empty ]
          │     t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/web_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/web_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/web_sales/part-3.parquet:<int>..<int>]]}, projection=[ws_warehouse_sk, ws_order_number], file_type=parquet, predicate=DynamicFilter [ empty ]
          └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_96() -> Result<()> {
        let display = test_tpcds_query("q96").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ ProjectionExec: expr=[count(Int64(1))@0 as count(*)]
        │   GlobalLimitExec: skip=0, fetch=100
        │     AggregateExec: mode=Final, gby=[], aggr=[count(Int64(1))]
        │       CoalescePartitionsExec
        │         [Stage 4] => NetworkCoalesceExec: output_partitions=12, input_tasks=4
        └──────────────────────────────────────────────────
          ┌───── Stage 4 ── Tasks: t0:[p0..p2] t1:[p3..p5] t2:[p6..p8] t3:[p9..p11]
          │ AggregateExec: mode=Partial, gby=[], aggr=[count(Int64(1))]
          │   HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(s_store_sk@0, ss_store_sk@0)], projection=[]
          │     CoalescePartitionsExec
          │       [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
          │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(t_time_sk@0, ss_sold_time_sk@0)], projection=[ss_store_sk@2]
          │       CoalescePartitionsExec
          │         [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
          │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(hd_demo_sk@0, ss_hdemo_sk@1)], projection=[ss_sold_time_sk@1, ss_store_sk@3]
          │         CoalescePartitionsExec
          │           [Stage 3] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
          │         DistributedLeafExec:
          │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_time_sk, ss_hdemo_sk, ss_store_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          │           t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_time_sk, ss_hdemo_sk, ss_store_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          │           t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_time_sk, ss_hdemo_sk, ss_store_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          │           t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_time_sk, ss_hdemo_sk, ss_store_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
          └──────────────────────────────────────────────────
            ┌───── Stage 1 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   FilterExec: s_store_name@1 = ese, projection=[s_store_sk@0]
            │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name], file_type=parquet, predicate=s_store_name@5 = ese, pruning_predicate=s_store_name_null_count@2 != row_count@3 AND s_store_name_min@0 <= ese AND ese <= s_store_name_max@1, required_guarantees=[s_store_name in (ese)]
            │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name], file_type=parquet, predicate=s_store_name@5 = ese, pruning_predicate=s_store_name_null_count@2 != row_count@3 AND s_store_name_min@0 <= ese AND ese <= s_store_name_max@1, required_guarantees=[s_store_name in (ese)]
            │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name], file_type=parquet, predicate=s_store_name@5 = ese, pruning_predicate=s_store_name_null_count@2 != row_count@3 AND s_store_name_min@0 <= ese AND ese <= s_store_name_max@1, required_guarantees=[s_store_name in (ese)]
            │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/store/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store/part-3.parquet:<int>..<int>]]}, projection=[s_store_sk, s_store_name], file_type=parquet, predicate=s_store_name@5 = ese, pruning_predicate=s_store_name_null_count@2 != row_count@3 AND s_store_name_min@0 <= ese AND ese <= s_store_name_max@1, required_guarantees=[s_store_name in (ese)]
            └──────────────────────────────────────────────────
            ┌───── Stage 2 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   FilterExec: t_hour@1 = 20 AND t_minute@2 >= 30, projection=[t_time_sk@0]
            │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/time_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/time_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/time_dim/part-2.parquet:<int>..<int>]]}, projection=[t_time_sk, t_hour, t_minute], file_type=parquet, predicate=t_hour@3 = 20 AND t_minute@4 >= 30, pruning_predicate=t_hour_null_count@2 != row_count@3 AND t_hour_min@0 <= 20 AND 20 <= t_hour_max@1 AND t_minute_null_count@5 != row_count@3 AND t_minute_max@4 >= 30, required_guarantees=[t_hour in (20)]
            │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/time_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/time_dim/part-2.parquet:<int>..<int>]]}, projection=[t_time_sk, t_hour, t_minute], file_type=parquet, predicate=t_hour@3 = 20 AND t_minute@4 >= 30, pruning_predicate=t_hour_null_count@2 != row_count@3 AND t_hour_min@0 <= 20 AND 20 <= t_hour_max@1 AND t_minute_null_count@5 != row_count@3 AND t_minute_max@4 >= 30, required_guarantees=[t_hour in (20)]
            │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/time_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/time_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/time_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/time_dim/part-3.parquet:<int>..<int>]]}, projection=[t_time_sk, t_hour, t_minute], file_type=parquet, predicate=t_hour@3 = 20 AND t_minute@4 >= 30, pruning_predicate=t_hour_null_count@2 != row_count@3 AND t_hour_min@0 <= 20 AND 20 <= t_hour_max@1 AND t_minute_null_count@5 != row_count@3 AND t_minute_max@4 >= 30, required_guarantees=[t_hour in (20)]
            │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/time_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/time_dim/part-3.parquet:<int>..<int>]]}, projection=[t_time_sk, t_hour, t_minute], file_type=parquet, predicate=t_hour@3 = 20 AND t_minute@4 >= 30, pruning_predicate=t_hour_null_count@2 != row_count@3 AND t_hour_min@0 <= 20 AND 20 <= t_hour_max@1 AND t_minute_null_count@5 != row_count@3 AND t_minute_max@4 >= 30, required_guarantees=[t_hour in (20)]
            └──────────────────────────────────────────────────
            ┌───── Stage 3 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
            │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
            │   FilterExec: hd_dep_count@1 = 7, projection=[hd_demo_sk@0]
            │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_dep_count], file_type=parquet, predicate=hd_dep_count@3 = 7, pruning_predicate=hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 7 AND 7 <= hd_dep_count_max@1, required_guarantees=[hd_dep_count in (7)]
            │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_dep_count], file_type=parquet, predicate=hd_dep_count@3 = 7, pruning_predicate=hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 7 AND 7 <= hd_dep_count_max@1, required_guarantees=[hd_dep_count in (7)]
            │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_dep_count], file_type=parquet, predicate=hd_dep_count@3 = 7, pruning_predicate=hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 7 AND 7 <= hd_dep_count_max@1, required_guarantees=[hd_dep_count in (7)]
            │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/household_demographics/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/household_demographics/part-3.parquet:<int>..<int>]]}, projection=[hd_demo_sk, hd_dep_count], file_type=parquet, predicate=hd_dep_count@3 = 7, pruning_predicate=hd_dep_count_null_count@2 != row_count@3 AND hd_dep_count_min@0 <= 7 AND 7 <= hd_dep_count_max@1, required_guarantees=[hd_dep_count in (7)]
            └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_97() -> Result<()> {
        let display = test_tpcds_query("q97").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ ProjectionExec: expr=[sum(CASE WHEN ssci.customer_sk IS NOT NULL AND csci.customer_sk IS NULL THEN Int64(1) ELSE Int64(0) END)@0 as store_only, sum(CASE WHEN ssci.customer_sk IS NULL AND csci.customer_sk IS NOT NULL THEN Int64(1) ELSE Int64(0) END)@1 as catalog_only, sum(CASE WHEN ssci.customer_sk IS NOT NULL AND csci.customer_sk IS NOT NULL THEN Int64(1) ELSE Int64(0) END)@2 as store_and_catalog]
        │   GlobalLimitExec: skip=0, fetch=100
        │     AggregateExec: mode=Final, gby=[], aggr=[sum(CASE WHEN ssci.customer_sk IS NOT NULL AND csci.customer_sk IS NULL THEN Int64(1) ELSE Int64(0) END), sum(CASE WHEN ssci.customer_sk IS NULL AND csci.customer_sk IS NOT NULL THEN Int64(1) ELSE Int64(0) END), sum(CASE WHEN ssci.customer_sk IS NOT NULL AND csci.customer_sk IS NOT NULL THEN Int64(1) ELSE Int64(0) END)]
        │       CoalescePartitionsExec
        │         [Stage 5] => NetworkCoalesceExec: output_partitions=6, input_tasks=2
        └──────────────────────────────────────────────────
          ┌───── Stage 5 ── Tasks: t0:[p0..p2] t1:[p3..p5]
          │ AggregateExec: mode=Partial, gby=[], aggr=[sum(CASE WHEN ssci.customer_sk IS NOT NULL AND csci.customer_sk IS NULL THEN Int64(1) ELSE Int64(0) END), sum(CASE WHEN ssci.customer_sk IS NULL AND csci.customer_sk IS NOT NULL THEN Int64(1) ELSE Int64(0) END), sum(CASE WHEN ssci.customer_sk IS NOT NULL AND csci.customer_sk IS NOT NULL THEN Int64(1) ELSE Int64(0) END)]
          │   ProjectionExec: expr=[customer_sk@0 IS NOT NULL as __common_expr_1, customer_sk@0 as customer_sk, customer_sk@1 as customer_sk]
          │     HashJoinExec: mode=Partitioned, join_type=Full, on=[(customer_sk@0, customer_sk@0), (item_sk@1, item_sk@1)], projection=[customer_sk@2, customer_sk@0]
          │       ProjectionExec: expr=[cs_bill_customer_sk@0 as customer_sk, cs_item_sk@1 as item_sk]
          │         AggregateExec: mode=FinalPartitioned, gby=[cs_bill_customer_sk@0 as cs_bill_customer_sk, cs_item_sk@1 as cs_item_sk], aggr=[]
          │           [Stage 2] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          │       ProjectionExec: expr=[ss_customer_sk@0 as customer_sk, ss_item_sk@1 as item_sk]
          │         AggregateExec: mode=FinalPartitioned, gby=[ss_customer_sk@0 as ss_customer_sk, ss_item_sk@1 as ss_item_sk], aggr=[]
          │           [Stage 4] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 2 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([cs_bill_customer_sk@0, cs_item_sk@1], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[cs_bill_customer_sk@0 as cs_bill_customer_sk, cs_item_sk@1 as cs_item_sk], aggr=[]
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, cs_sold_date_sk@0)], projection=[cs_bill_customer_sk@2, cs_item_sk@3]
            │       CoalescePartitionsExec
            │         [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_bill_customer_sk, cs_item_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
            │         t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_bill_customer_sk, cs_item_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
            │         t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_bill_customer_sk, cs_item_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
            │         t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_bill_customer_sk, cs_item_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 1 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_month_seq@1 >= 1200 AND d_month_seq@1 <= 1211, projection=[d_date_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_month_seq], file_type=parquet, predicate=d_month_seq@3 >= 1200 AND d_month_seq@3 <= 1211, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1200 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1211, required_guarantees=[]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_month_seq], file_type=parquet, predicate=d_month_seq@3 >= 1200 AND d_month_seq@3 <= 1211, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1200 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1211, required_guarantees=[]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_month_seq], file_type=parquet, predicate=d_month_seq@3 >= 1200 AND d_month_seq@3 <= 1211, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1200 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1211, required_guarantees=[]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_month_seq], file_type=parquet, predicate=d_month_seq@3 >= 1200 AND d_month_seq@3 <= 1211, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1200 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1211, required_guarantees=[]
              └──────────────────────────────────────────────────
            ┌───── Stage 4 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([ss_customer_sk@0, ss_item_sk@1], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[ss_customer_sk@1 as ss_customer_sk, ss_item_sk@0 as ss_item_sk], aggr=[]
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[ss_item_sk@2, ss_customer_sk@3]
            │       CoalescePartitionsExec
            │         [Stage 3] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │       DistributedLeafExec:
            │         t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_customer_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
            │         t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_customer_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
            │         t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_customer_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
            │         t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_customer_sk], file_type=parquet, predicate=DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 3 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_month_seq@1 >= 1200 AND d_month_seq@1 <= 1211, projection=[d_date_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_month_seq], file_type=parquet, predicate=d_month_seq@3 >= 1200 AND d_month_seq@3 <= 1211, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1200 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1211, required_guarantees=[]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_month_seq], file_type=parquet, predicate=d_month_seq@3 >= 1200 AND d_month_seq@3 <= 1211, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1200 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1211, required_guarantees=[]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_month_seq], file_type=parquet, predicate=d_month_seq@3 >= 1200 AND d_month_seq@3 <= 1211, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1200 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1211, required_guarantees=[]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_month_seq], file_type=parquet, predicate=d_month_seq@3 >= 1200 AND d_month_seq@3 <= 1211, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1200 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1211, required_guarantees=[]
              └──────────────────────────────────────────────────
        ");
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_98() -> Result<()> {
        let display = test_tpcds_query("q98").await?;
        assert_snapshot!(display, @r#"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [i_category@2 ASC, i_class@3 ASC, i_item_id@0 ASC, i_item_desc@1 ASC, revenueratio@6 ASC]
        │   SortExec: expr=[i_category@2 ASC, i_class@3 ASC, i_item_id@0 ASC, i_item_desc@1 ASC, revenueratio@6 ASC], preserve_partitioning=[true]
        │     ProjectionExec: expr=[i_item_id@0 as i_item_id, i_item_desc@1 as i_item_desc, i_category@2 as i_category, i_class@3 as i_class, i_current_price@4 as i_current_price, sum(store_sales.ss_ext_sales_price)@5 as itemrevenue, CAST(sum(store_sales.ss_ext_sales_price)@5 AS Float64) * 100 / CAST(sum(sum(store_sales.ss_ext_sales_price)) PARTITION BY [item.i_class] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING@6 AS Float64) as revenueratio]
        │       WindowAggExec: wdw=[sum(sum(store_sales.ss_ext_sales_price)) PARTITION BY [item.i_class] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING: Ok(Field { name: "sum(sum(store_sales.ss_ext_sales_price)) PARTITION BY [item.i_class] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING", data_type: Decimal128(27, 2), nullable: true }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(NULL)), is_causal: false }]
        │         SortExec: expr=[i_class@3 ASC NULLS LAST], preserve_partitioning=[true]
        │           [Stage 4] => NetworkShuffleExec: output_partitions=3, input_tasks=2
        └──────────────────────────────────────────────────
          ┌───── Stage 4 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ RepartitionExec: partitioning=Hash([i_class@3], 3), input_partitions=3
          │   AggregateExec: mode=FinalPartitioned, gby=[i_item_id@0 as i_item_id, i_item_desc@1 as i_item_desc, i_category@2 as i_category, i_class@3 as i_class, i_current_price@4 as i_current_price], aggr=[sum(store_sales.ss_ext_sales_price)]
          │     [Stage 3] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 3 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([i_item_id@0, i_item_desc@1, i_category@2, i_class@3, i_current_price@4], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[i_item_id@1 as i_item_id, i_item_desc@2 as i_item_desc, i_category@5 as i_category, i_class@4 as i_class, i_current_price@3 as i_current_price], aggr=[sum(store_sales.ss_ext_sales_price)]
            │     HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, ss_sold_date_sk@0)], projection=[ss_ext_sales_price@2, i_item_id@3, i_item_desc@4, i_current_price@5, i_class@6, i_category@7]
            │       CoalescePartitionsExec
            │         [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(i_item_sk@0, ss_item_sk@1)], projection=[ss_sold_date_sk@6, ss_ext_sales_price@8, i_item_id@1, i_item_desc@2, i_current_price@3, i_class@4, i_category@5]
            │         CoalescePartitionsExec
            │           [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │         DistributedLeafExec:
            │           t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │           t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/store_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/store_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/store_sales/part-3.parquet:<int>..<int>]]}, projection=[ss_sold_date_sk, ss_item_sk, ss_ext_sales_price], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 1 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_date@1 >= 1999-02-22 AND d_date@1 <= 1999-03-24, projection=[d_date_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 1999-02-22 AND d_date@2 <= 1999-03-24, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 1999-02-22 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 1999-03-24, required_guarantees=[]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 1999-02-22 AND d_date@2 <= 1999-03-24, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 1999-02-22 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 1999-03-24, required_guarantees=[]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 1999-02-22 AND d_date@2 <= 1999-03-24, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 1999-02-22 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 1999-03-24, required_guarantees=[]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_date], file_type=parquet, predicate=d_date@2 >= 1999-02-22 AND d_date@2 <= 1999-03-24, pruning_predicate=d_date_null_count@1 != row_count@2 AND d_date_max@0 >= 1999-02-22 AND d_date_null_count@1 != row_count@2 AND d_date_min@3 <= 1999-03-24, required_guarantees=[]
              └──────────────────────────────────────────────────
              ┌───── Stage 2 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: i_category@5 = Sports OR i_category@5 = Books OR i_category@5 = Home
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id, i_item_desc, i_current_price, i_class, i_category], file_type=parquet, predicate=i_category@12 = Sports OR i_category@12 = Books OR i_category@12 = Home, pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Sports AND Sports <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Books AND Books <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Home AND Home <= i_category_max@1, required_guarantees=[i_category in (Books, Home, Sports)]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id, i_item_desc, i_current_price, i_class, i_category], file_type=parquet, predicate=i_category@12 = Sports OR i_category@12 = Books OR i_category@12 = Home, pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Sports AND Sports <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Books AND Books <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Home AND Home <= i_category_max@1, required_guarantees=[i_category in (Books, Home, Sports)]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id, i_item_desc, i_current_price, i_class, i_category], file_type=parquet, predicate=i_category@12 = Sports OR i_category@12 = Books OR i_category@12 = Home, pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Sports AND Sports <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Books AND Books <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Home AND Home <= i_category_max@1, required_guarantees=[i_category in (Books, Home, Sports)]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/item/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/item/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/item/part-3.parquet:<int>..<int>]]}, projection=[i_item_sk, i_item_id, i_item_desc, i_current_price, i_class, i_category], file_type=parquet, predicate=i_category@12 = Sports OR i_category@12 = Books OR i_category@12 = Home, pruning_predicate=i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Sports AND Sports <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Books AND Books <= i_category_max@1 OR i_category_null_count@2 != row_count@3 AND i_category_min@0 <= Home AND Home <= i_category_max@1, required_guarantees=[i_category in (Books, Home, Sports)]
              └──────────────────────────────────────────────────
        "#);
        Ok(())
    }
    #[tokio::test]
    async fn test_tpcds_99() -> Result<()> {
        let display = test_tpcds_query("q99").await?;
        assert_snapshot!(display, @r"
        ┌───── DistributedExec ── Tasks: t0:[p0]
        │ SortPreservingMergeExec: [w_substr@0 ASC, sm_type@1 ASC, cc_name_lower@2 ASC], fetch=100
        │   [Stage 6] => NetworkCoalesceExec: output_partitions=6, input_tasks=2
        └──────────────────────────────────────────────────
          ┌───── Stage 6 ── Tasks: t0:[p0..p2] t1:[p0..p2]
          │ SortExec: TopK(fetch=100), expr=[w_substr@0 ASC, sm_type@1 ASC, cc_name_lower@2 ASC], preserve_partitioning=[true]
          │   ProjectionExec: expr=[w_substr@0 as w_substr, sm_type@1 as sm_type, lower(cc_name@2) as cc_name_lower, sum(CASE WHEN catalog_sales.cs_ship_date_sk - catalog_sales.cs_sold_date_sk <= Int64(30) THEN Int64(1) ELSE Int64(0) END)@3 as 30 days, sum(CASE WHEN catalog_sales.cs_ship_date_sk - catalog_sales.cs_sold_date_sk > Int64(30) AND catalog_sales.cs_ship_date_sk - catalog_sales.cs_sold_date_sk <= Int64(60) THEN Int64(1) ELSE Int64(0) END)@4 as 31-60 days, sum(CASE WHEN catalog_sales.cs_ship_date_sk - catalog_sales.cs_sold_date_sk > Int64(60) AND catalog_sales.cs_ship_date_sk - catalog_sales.cs_sold_date_sk <= Int64(90) THEN Int64(1) ELSE Int64(0) END)@5 as 61-90 days, sum(CASE WHEN catalog_sales.cs_ship_date_sk - catalog_sales.cs_sold_date_sk > Int64(90) AND catalog_sales.cs_ship_date_sk - catalog_sales.cs_sold_date_sk <= Int64(120) THEN Int64(1) ELSE Int64(0) END)@6 as 91-120 days, sum(CASE WHEN catalog_sales.cs_ship_date_sk - catalog_sales.cs_sold_date_sk > Int64(120) THEN Int64(1) ELSE Int64(0) END)@7 as >120 days]
          │     AggregateExec: mode=FinalPartitioned, gby=[w_substr@0 as w_substr, sm_type@1 as sm_type, cc_name@2 as cc_name], aggr=[sum(CASE WHEN __common_expr_1 <= 30 THEN 1 ELSE 0 END) as sum(CASE WHEN catalog_sales.cs_ship_date_sk - catalog_sales.cs_sold_date_sk <= Int64(30) THEN Int64(1) ELSE Int64(0) END), sum(CASE WHEN __common_expr_1 > 30 AND __common_expr_1 <= 60 THEN 1 ELSE 0 END) as sum(CASE WHEN catalog_sales.cs_ship_date_sk - catalog_sales.cs_sold_date_sk > Int64(30) AND catalog_sales.cs_ship_date_sk - catalog_sales.cs_sold_date_sk <= Int64(60) THEN Int64(1) ELSE Int64(0) END), sum(CASE WHEN __common_expr_1 > 60 AND __common_expr_1 <= 90 THEN 1 ELSE 0 END) as sum(CASE WHEN catalog_sales.cs_ship_date_sk - catalog_sales.cs_sold_date_sk > Int64(60) AND catalog_sales.cs_ship_date_sk - catalog_sales.cs_sold_date_sk <= Int64(90) THEN Int64(1) ELSE Int64(0) END), sum(CASE WHEN __common_expr_1 > 90 AND __common_expr_1 <= 120 THEN 1 ELSE 0 END) as sum(CASE WHEN catalog_sales.cs_ship_date_sk - catalog_sales.cs_sold_date_sk > Int64(90) AND catalog_sales.cs_ship_date_sk - catalog_sales.cs_sold_date_sk <= Int64(120) THEN Int64(1) ELSE Int64(0) END), sum(CASE WHEN __common_expr_1 > 120 THEN 1 ELSE 0 END) as sum(CASE WHEN catalog_sales.cs_ship_date_sk - catalog_sales.cs_sold_date_sk > Int64(120) THEN Int64(1) ELSE Int64(0) END)]
          │       [Stage 5] => NetworkShuffleExec: output_partitions=3, input_tasks=4
          └──────────────────────────────────────────────────
            ┌───── Stage 5 ── Tasks: t0:[p0..p5] t1:[p0..p5] t2:[p0..p5] t3:[p0..p5]
            │ RepartitionExec: partitioning=Hash([w_substr@0, sm_type@1, cc_name@2], 6), input_partitions=3
            │   AggregateExec: mode=Partial, gby=[w_substr@1 as w_substr, sm_type@2 as sm_type, cc_name@3 as cc_name], aggr=[sum(CASE WHEN __common_expr_1 <= 30 THEN 1 ELSE 0 END) as sum(CASE WHEN catalog_sales.cs_ship_date_sk - catalog_sales.cs_sold_date_sk <= Int64(30) THEN Int64(1) ELSE Int64(0) END), sum(CASE WHEN __common_expr_1 > 30 AND __common_expr_1 <= 60 THEN 1 ELSE 0 END) as sum(CASE WHEN catalog_sales.cs_ship_date_sk - catalog_sales.cs_sold_date_sk > Int64(30) AND catalog_sales.cs_ship_date_sk - catalog_sales.cs_sold_date_sk <= Int64(60) THEN Int64(1) ELSE Int64(0) END), sum(CASE WHEN __common_expr_1 > 60 AND __common_expr_1 <= 90 THEN 1 ELSE 0 END) as sum(CASE WHEN catalog_sales.cs_ship_date_sk - catalog_sales.cs_sold_date_sk > Int64(60) AND catalog_sales.cs_ship_date_sk - catalog_sales.cs_sold_date_sk <= Int64(90) THEN Int64(1) ELSE Int64(0) END), sum(CASE WHEN __common_expr_1 > 90 AND __common_expr_1 <= 120 THEN 1 ELSE 0 END) as sum(CASE WHEN catalog_sales.cs_ship_date_sk - catalog_sales.cs_sold_date_sk > Int64(90) AND catalog_sales.cs_ship_date_sk - catalog_sales.cs_sold_date_sk <= Int64(120) THEN Int64(1) ELSE Int64(0) END), sum(CASE WHEN __common_expr_1 > 120 THEN 1 ELSE 0 END) as sum(CASE WHEN catalog_sales.cs_ship_date_sk - catalog_sales.cs_sold_date_sk > Int64(120) THEN Int64(1) ELSE Int64(0) END)]
            │     ProjectionExec: expr=[cs_ship_date_sk@0 - cs_sold_date_sk@1 as __common_expr_1, w_substr@2 as w_substr, sm_type@3 as sm_type, cc_name@4 as cc_name]
            │       HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d_date_sk@0, cs_ship_date_sk@1)], projection=[cs_ship_date_sk@2, cs_sold_date_sk@1, w_substr@3, sm_type@4, cc_name@5]
            │         CoalescePartitionsExec
            │           [Stage 1] => NetworkBroadcastExec: partitions_per_consumer=3, stage_partitions=12, input_tasks=4
            │         HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(cc_call_center_sk@0, cs_call_center_sk@2)], projection=[cs_sold_date_sk@2, cs_ship_date_sk@3, w_substr@5, sm_type@6, cc_name@1]
            │           CoalescePartitionsExec
            │             [Stage 2] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │           HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(sm_ship_mode_sk@0, cs_ship_mode_sk@3)], projection=[cs_sold_date_sk@2, cs_ship_date_sk@3, cs_call_center_sk@4, w_substr@6, sm_type@1]
            │             CoalescePartitionsExec
            │               [Stage 3] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │             HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(w_warehouse_sk@1, cs_warehouse_sk@4)], projection=[cs_sold_date_sk@2, cs_ship_date_sk@3, cs_call_center_sk@4, cs_ship_mode_sk@5, w_substr@0]
            │               CoalescePartitionsExec
            │                 [Stage 4] => NetworkBroadcastExec: partitions_per_consumer=2, stage_partitions=8, input_tasks=4
            │               DistributedLeafExec:
            │                 t0: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_ship_date_sk, cs_call_center_sk, cs_ship_mode_sk, cs_warehouse_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │                 t1: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_ship_date_sk, cs_call_center_sk, cs_ship_mode_sk, cs_warehouse_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │                 t2: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_ship_date_sk, cs_call_center_sk, cs_ship_mode_sk, cs_warehouse_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            │                 t3: DataSourceExec: file_groups={3 groups: [[/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-2.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/catalog_sales/part-3.parquet:<int>..<int>]]}, projection=[cs_sold_date_sk, cs_ship_date_sk, cs_call_center_sk, cs_ship_mode_sk, cs_warehouse_sk], file_type=parquet, predicate=DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ] AND DynamicFilter [ empty ]
            └──────────────────────────────────────────────────
              ┌───── Stage 1 ── Tasks: t0:[p0..p11] t1:[p12..p23] t2:[p24..p35] t3:[p36..p47]
              │ BroadcastExec: input_partitions=3, consumer_tasks=4, output_partitions=12
              │   FilterExec: d_month_seq@1 >= 1200 AND d_month_seq@1 <= 1211, projection=[d_date_sk@0]
              │     RepartitionExec: partitioning=RoundRobinBatch(3), input_partitions=2
              │       DistributedLeafExec:
              │         t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_month_seq], file_type=parquet, predicate=d_month_seq@3 >= 1200 AND d_month_seq@3 <= 1211, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1200 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1211, required_guarantees=[]
              │         t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>]]}, projection=[d_date_sk, d_month_seq], file_type=parquet, predicate=d_month_seq@3 >= 1200 AND d_month_seq@3 <= 1211, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1200 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1211, required_guarantees=[]
              │         t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_month_seq], file_type=parquet, predicate=d_month_seq@3 >= 1200 AND d_month_seq@3 <= 1211, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1200 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1211, required_guarantees=[]
              │         t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/date_dim/part-1.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/date_dim/part-3.parquet:<int>..<int>]]}, projection=[d_date_sk, d_month_seq], file_type=parquet, predicate=d_month_seq@3 >= 1200 AND d_month_seq@3 <= 1211, pruning_predicate=d_month_seq_null_count@1 != row_count@2 AND d_month_seq_max@0 >= 1200 AND d_month_seq_null_count@1 != row_count@2 AND d_month_seq_min@3 <= 1211, required_guarantees=[]
              └──────────────────────────────────────────────────
              ┌───── Stage 2 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/call_center/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/call_center/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/call_center/part-1.parquet:<int>..<int>]]}, projection=[cc_call_center_sk, cc_name], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/call_center/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/call_center/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/call_center/part-2.parquet:<int>..<int>]]}, projection=[cc_call_center_sk, cc_name], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/call_center/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/call_center/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/call_center/part-3.parquet:<int>..<int>]]}, projection=[cc_call_center_sk, cc_name], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/call_center/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/call_center/part-3.parquet:<int>..<int>]]}, projection=[cc_call_center_sk, cc_name], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 3 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/ship_mode/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/ship_mode/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/ship_mode/part-1.parquet:<int>..<int>]]}, projection=[sm_ship_mode_sk, sm_type], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/ship_mode/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/ship_mode/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/ship_mode/part-2.parquet:<int>..<int>]]}, projection=[sm_ship_mode_sk, sm_type], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/ship_mode/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/ship_mode/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/ship_mode/part-3.parquet:<int>..<int>]]}, projection=[sm_ship_mode_sk, sm_type], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/ship_mode/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/ship_mode/part-3.parquet:<int>..<int>]]}, projection=[sm_ship_mode_sk, sm_type], file_type=parquet
              └──────────────────────────────────────────────────
              ┌───── Stage 4 ── Tasks: t0:[p0..p7] t1:[p8..p15] t2:[p16..p23] t3:[p24..p31]
              │ BroadcastExec: input_partitions=2, consumer_tasks=4, output_partitions=8
              │   DistributedLeafExec:
              │     t0: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/warehouse/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/warehouse/part-0.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/warehouse/part-1.parquet:<int>..<int>]]}, projection=[substr(w_warehouse_name@2, 1, 20) as w_substr, w_warehouse_sk], file_type=parquet
              │     t1: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/warehouse/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/warehouse/part-1.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/warehouse/part-2.parquet:<int>..<int>]]}, projection=[substr(w_warehouse_name@2, 1, 20) as w_substr, w_warehouse_sk], file_type=parquet
              │     t2: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/warehouse/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/warehouse/part-2.parquet:<int>..<int>, /testdata/tpcds/plans_sf1_partitions4/warehouse/part-3.parquet:<int>..<int>]]}, projection=[substr(w_warehouse_name@2, 1, 20) as w_substr, w_warehouse_sk], file_type=parquet
              │     t3: DataSourceExec: file_groups={2 groups: [[/testdata/tpcds/plans_sf1_partitions4/warehouse/part-0.parquet:<int>..<int>], [/testdata/tpcds/plans_sf1_partitions4/warehouse/part-3.parquet:<int>..<int>]]}, projection=[substr(w_warehouse_name@2, 1, 20) as w_substr, w_warehouse_sk], file_type=parquet
              └──────────────────────────────────────────────────
        ");
        Ok(())
    }

    static INIT_TEST_TPCDS_TABLES: OnceCell<()> = OnceCell::const_new();

    async fn test_tpcds_query(query_id: &str) -> Result<String> {
        let data_dir = Path::new(env!("CARGO_MANIFEST_DIR")).join(format!(
            "testdata/tpcds/plans_sf{SF}_partitions{PARQUET_PARTITIONS}"
        ));
        INIT_TEST_TPCDS_TABLES
            .get_or_init(|| async {
                if !fs::exists(&data_dir).unwrap_or(false) {
                    tpcds::generate_data(&data_dir, SF, PARQUET_PARTITIONS)
                        .await
                        .unwrap();
                }
            })
            .await;

        let query_sql = tpcds::get_query(query_id)?;
        // Make distributed localhost context to run queries
        let d_ctx = start_in_memory_context(NUM_WORKERS, DefaultSessionBuilder).await;
        d_ctx
            .state_ref()
            .write()
            .config_mut()
            .options_mut()
            .execution
            .target_partitions = PARTITIONS;

        let d_ctx = d_ctx
            .with_distributed_file_scan_config_bytes_per_partition(
                FILE_SCAN_CONFIG_BYTES_PER_PARTITION,
            )?
            .with_distributed_cardinality_effect_task_scale_factor(CARDINALITY_TASK_COUNT_FACTOR)?
            .with_distributed_broadcast_joins(true)?;

        register_tables(&d_ctx, &data_dir).await?;

        let df = d_ctx.sql(&query_sql).await?;
        let plan = df.create_physical_plan().await?;
        if plan.is::<DistributedExec>() {
            Ok(display_plan_ascii(plan.as_ref(), false))
        } else {
            Ok("".to_string())
        }
    }
}