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// SPDX-License-Identifier: BUSL-1.1
//! Dispatch for QueryOp variants (aggregates, joins, recursive scans, facets).
use crate::bridge::envelope::Response;
use nodedb_physical::physical_plan::{GroupKeySpec, QueryOp};
use crate::data::executor::core_loop::CoreLoop;
use crate::data::executor::handlers::join::{
HashJoinParams, JoinParams, NestedLoopJoinParams, ShuffleJoinInputs, SortMergeJoinParams,
lateral::{LateralLoopParams, LateralTopKParams},
};
use crate::data::executor::task::ExecutionTask;
impl CoreLoop {
pub(super) fn dispatch_query(
&mut self,
task: &ExecutionTask,
tid: u64,
op: &QueryOp,
) -> Response {
match op {
QueryOp::Aggregate {
collection,
input,
group_by,
aggregates,
filters,
having,
limit,
sub_group_by,
sub_aggregates,
grouping_sets,
sort_keys,
} => self.execute_aggregate(
crate::data::executor::handlers::aggregate::exec::AggregateExecInputs {
task,
tid,
collection,
input: input.as_deref(),
group_by,
aggregates,
filters,
having,
limit: *limit,
sub_group_by,
sub_aggregates,
grouping_sets,
sort_keys,
},
),
QueryOp::Exchange(_) => self.response_error(
task,
crate::bridge::envelope::ErrorCode::Internal {
detail: "Exchange must be resolved by the coordinator before dispatch"
.to_string(),
},
),
QueryOp::ProviderScan {
rows,
filters,
projection,
sort_keys,
limit,
offset,
distinct,
..
} => self.execute_provider_scan(
task,
crate::data::executor::handlers::provider_scan::ProviderScanParams {
rows_bytes: rows,
filters_bytes: filters,
projection,
sort_keys,
limit: *limit,
offset: *offset,
distinct: *distinct,
},
),
QueryOp::HashJoin {
left_collection,
right_collection,
left_alias,
right_alias,
on,
join_type,
limit,
projection,
computed_projection,
join_filters,
post_filters,
left_input,
right_input,
left_bitmap,
right_bitmap,
..
} => self.execute_hash_join(HashJoinParams {
join: JoinParams {
task,
on,
join_type,
limit: *limit,
projection,
computed_projection_bytes: computed_projection,
join_filter_bytes: join_filters,
post_filter_bytes: post_filters,
},
tid,
left_collection,
right_collection,
left_alias: left_alias.as_deref(),
right_alias: right_alias.as_deref(),
left_input: left_input.as_deref(),
right_input: right_input.as_deref(),
left_bitmap: left_bitmap.as_deref(),
right_bitmap: right_bitmap.as_deref(),
}),
QueryOp::ShuffleJoinConsume {
build_path,
probe_path,
on,
join_type,
limit,
probe_qualifier,
index_qualifier,
} => {
// Reconstruct the borrowed `JoinParams` from the owned plan
// fields. `projection` / `post_filter_bytes` are empty: a
// shuffle-join consumer runs the bare grace join over the two
// staged sides and emits the joined rows; any post-projection /
// post-filter is applied by the coordinator on the gathered
// union, not per-part. `on` / `join_type` borrow straight from
// the plan.
let join = JoinParams {
task,
on,
join_type,
limit: *limit,
projection: &[],
computed_projection_bytes: &[],
join_filter_bytes: &[],
post_filter_bytes: &[],
};
let inputs = ShuffleJoinInputs {
build_path: std::path::PathBuf::from(build_path),
probe_path: std::path::PathBuf::from(probe_path),
probe_qualifier: probe_qualifier.clone(),
index_qualifier: index_qualifier.clone(),
};
// Same memory budget source the local hash-join path uses
// (`execute_hash_join`): the per-query scan-result byte budget.
let budget = self.query_tuning.max_scan_result_bytes;
self.execute_shuffle_join(&join, inputs, budget)
}
QueryOp::NestedLoopJoin {
left_collection,
right_collection,
condition,
join_type,
limit,
} => self.execute_nested_loop_join(NestedLoopJoinParams {
task,
tid,
left_collection,
right_collection,
condition,
join_type,
limit: *limit,
}),
QueryOp::SortMergeJoin {
left_collection,
right_collection,
on,
join_type,
limit,
pre_sorted,
} => self.execute_sort_merge_join(SortMergeJoinParams {
task,
tid,
left_collection,
right_collection,
on,
join_type,
limit: *limit,
pre_sorted: *pre_sorted,
}),
QueryOp::RecursiveScan {
collection,
base_filters,
recursive_filters,
join_link,
max_iterations,
distinct,
limit,
} => self.execute_recursive_scan(
task,
crate::data::executor::handlers::recursive::RecursiveScanParams {
tid,
collection,
base_filters,
recursive_filters,
join_link: join_link.as_ref(),
max_iterations: *max_iterations,
distinct: *distinct,
limit: *limit,
},
),
QueryOp::RecursiveValue {
cte_name,
columns,
init_exprs,
step_exprs,
condition,
max_depth,
distinct,
} => self.execute_recursive_value(
task,
crate::data::executor::handlers::recursive_value::RecursiveValueParams {
cte_name,
columns,
init_exprs,
step_exprs,
condition: condition.as_deref(),
max_depth: *max_depth,
distinct: *distinct,
},
),
QueryOp::FacetCounts {
collection,
filters,
fields,
limit_per_facet,
} => {
self.execute_facet_counts(task, tid, collection, filters, fields, *limit_per_facet)
}
QueryOp::PartialAggregate {
collection,
group_by,
aggregates,
filters,
} => {
// This variant still carries plain column-name keys; lift them
// to bare-column specs for the shared executor entry point.
let group_specs: Vec<GroupKeySpec> = group_by
.iter()
.map(|s| GroupKeySpec::column(s.as_str()))
.collect();
self.execute_aggregate(
crate::data::executor::handlers::aggregate::exec::AggregateExecInputs {
task,
tid,
collection,
input: None,
group_by: &group_specs,
aggregates,
filters,
having: &[],
limit: usize::MAX,
sub_group_by: &[],
sub_aggregates: &[],
grouping_sets: &[],
sort_keys: &[],
},
)
}
QueryOp::PartialAggregateState {
collection,
input,
group_by,
aggregates,
filters,
} => self.execute_partial_aggregate_state(
crate::data::executor::handlers::aggregate::state_emit::PartialAggregateStateParams {
task,
tid,
collection,
input: input.as_deref(),
group_by,
aggregates,
filters,
},
),
QueryOp::ShuffleAggregateConsume {
state_path,
group_by,
aggregates,
having,
limit,
sort_keys,
} => {
// This variant still carries plain column-name keys; lift them
// to bare-column specs for the consumer's merge + finalize.
let group_specs: Vec<GroupKeySpec> = group_by
.iter()
.map(|s| GroupKeySpec::column(s.as_str()))
.collect();
self.execute_shuffle_aggregate(
crate::data::executor::handlers::aggregate::shuffle_merge::ShuffleAggregateParams {
task,
state_path,
group_by: &group_specs,
aggregates,
having,
limit: *limit,
sort_keys,
},
)
}
QueryOp::LateralTopK {
outer_plan,
outer_alias,
inner_collection,
inner_filters,
inner_order_by,
inner_limit,
correlation_keys,
lateral_alias,
projection,
left_join,
} => self.execute_lateral_top_k(LateralTopKParams {
task,
tid,
outer_plan,
outer_alias,
inner_collection,
inner_filters,
inner_order_by,
inner_limit: *inner_limit,
correlation_keys,
lateral_alias,
projection,
left_join: *left_join,
}),
QueryOp::LateralLoop {
outer_plan,
outer_alias,
inner_collection,
inner_filters,
correlation_predicates,
lateral_alias,
projection,
left_join,
outer_row_cap,
} => self.execute_lateral_loop(LateralLoopParams {
task,
tid,
outer_plan,
outer_alias,
inner_collection,
inner_filters,
correlation_predicates,
lateral_alias,
projection,
left_join: *left_join,
outer_row_cap: *outer_row_cap,
}),
}
}
}