Draft: HIVE-29322: Avoid TopNKeyOperator When Map-Side LIMIT Pushdown Provides Better Pruning #6202
+4
−2
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.



What changes were proposed in this pull request?
This PR updates TopNKeyProcessor to skip creating TopNKeyOperator when ReduceSinkDesc.topN is already set by LIMIT pushdown. This prevents TopNKey from overriding pushdown and ensures the map-side LIMIT optimization is applied correctly.
Why are the changes needed?
Currently, when a query includes ORDER BY + LIMIT, LIMIT pushdown is generated during planning but is effectively overridden by the subsequent TopNKey rewrite. As a result, TopNKey operator receives full input rather than a reduced data set, leading to worse performance (e.g., 16M rows forwarded to reducer instead of a few). In cases where global ordering uses a single reducer, LIMIT pushdown is sufficient and far more efficient. This fix prevents unnecessary TopNKey creation so that pushdown can reduce shuffle and significantly improve execution time.
Does this PR introduce any user-facing change?
No
How was this patch tested?
Manual testing + existing testcases