datafusion-physical-plan 55.0.0

Physical (ExecutionPlan) implementations for DataFusion query engine
Documentation
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//   http://www.apache.org/licenses/LICENSE-2.0
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use std::sync::Arc;

use arrow::datatypes::SchemaRef;
use arrow::record_batch::RecordBatch;
use datafusion_common::Result;

use crate::aggregates::AggregateExec;

use super::common::{AggregateHashTable, HashAggregateAccumulator, PartialReduceMarker};

/// Methods specific to the aggregate hash table used in the partial-reduce stage.
impl AggregateHashTable<PartialReduceMarker> {
    pub(in crate::aggregates) fn new(
        agg: &AggregateExec,
        partition: usize,
        output_schema: SchemaRef,
        batch_size: usize,
    ) -> Result<Self> {
        Self::new_with_filters(
            agg,
            partition,
            Arc::clone(&output_schema),
            output_schema,
            batch_size,
            vec![None; agg.aggr_expr.len()],
        )
    }

    /// Emits the next batch of aggregated group keys and aggregate states.
    ///
    /// The output batch size is determined by `self.batch_size`.
    ///
    /// Returns `Some(batch)` for each emitted batch, `None` when output is
    /// exhausted, and an internal error if polled in the `Building` state.
    pub(in crate::aggregates) fn next_output_batch(
        &mut self,
    ) -> Result<Option<RecordBatch>> {
        self.next_output_batch_inner(HashAggregateAccumulator::state)
    }

    /// Partial-reduce aggregation consumes partial aggregate states and merges
    /// them into the table's partial-state accumulators.
    pub(in crate::aggregates) fn aggregate_batch(
        &mut self,
        batch: &RecordBatch,
    ) -> Result<()> {
        self.aggregate_batch_inner(batch, HashAggregateAccumulator::merge_batch)
    }

    pub(in crate::aggregates) fn start_output(&mut self) -> Result<()> {
        self.start_outputting();
        Ok(())
    }
}