berkaysynnada commented on code in PR #15563:
URL: https://github.com/apache/datafusion/pull/15563#discussion_r2033193030
##########
datafusion/physical-plan/src/sorts/sort.rs:
##########
@@ -1066,22 +1071,33 @@ impl SortExec {
}
/// This function creates the cache object that stores the plan properties
such as schema, equivalence properties, ordering, partitioning, etc.
+ /// It also returns the common sort prefix between the input and the sort
expressions.
fn compute_properties(
input: &Arc<dyn ExecutionPlan>,
sort_exprs: LexOrdering,
preserve_partitioning: bool,
- ) -> PlanProperties {
+ ) -> (PlanProperties, LexOrdering) {
// Determine execution mode:
let requirement = LexRequirement::from(sort_exprs);
- let sort_satisfied = input
+
+ let (sort_prefix, sort_satisfied) = input
.equivalence_properties()
- .ordering_satisfy_requirement(&requirement);
+ .extract_matching_prefix(&requirement);
+
+ let sort_partially_satisfied = sort_satisfied ||
!sort_prefix.is_empty();
// The emission type depends on whether the input is already sorted:
- // - If already sorted, we can emit results in the same way as the
input
+ // - If already fully sorted, we can emit results in the same way as
the input
+ // - If partially sorted, we might be able to emit results
incrementally, but it is not guaranteed (Both)
// - If not sorted, we must wait until all data is processed to emit
results (Final)
let emission_type = if sort_satisfied {
input.pipeline_behavior()
+ } else if sort_partially_satisfied {
+ if input.pipeline_behavior() == EmissionType::Incremental {
+ EmissionType::Both
Review Comment:
But maybe those should be Both as well. Let me think on that a bit 😅
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