[SPARK-55848][SQL][3.5] Fix incorrect dedup results with SPJ partial clustering#54852
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naveenp2708 wants to merge 1 commit intoapache:branch-3.5from
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[SPARK-55848][SQL][3.5] Fix incorrect dedup results with SPJ partial clustering#54852naveenp2708 wants to merge 1 commit intoapache:branch-3.5from
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@peter-toth Backport to branch-3.5 as requested. Same fix as #54751 (4.1) and #54851 (4.0) |
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Mar 17, 2026
| required match { | ||
| case c @ ClusteredDistribution(requiredClustering, requireAllClusterKeys, _) => | ||
| if (requireAllClusterKeys) { | ||
| // Checks whether this partitioning is partitioned on exactly same clustering keys of |
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LGTM, just minor request.
…clustering When SPJ partial clustering splits a partition across multiple tasks, post-join dedup operators (dropDuplicates, Window row_number) produce incorrect results because KeyGroupedPartitioning.satisfies0() incorrectly reports satisfaction of ClusteredDistribution. This fix adds an isPartiallyClustered flag to KeyGroupedPartitioning and restructures satisfies0() to check ClusteredDistribution first, returning false when partially clustered. EnsureRequirements then inserts the necessary Exchange. Plain SPJ joins without dedup are unaffected. Closes apache#54378
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@peter-toth Restoring the deleted comments |
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What changes were proposed in this pull request?
Backport fix for SPARK-55848 to branch-3.5. Same fix as merged in branch-4.1 via #54751 and branch-4.0 via #54851.
The fix adds an
isPartiallyClusteredflag toKeyGroupedPartitioningand restructuressatisfies0()to checkClusteredDistributionfirst, returningfalsewhen partially clustered.EnsureRequirementsthen inserts the necessary Exchange.Why are the changes needed?
SPJ with partial clustering produces incorrect results for post-join dedup operations (dropDuplicates, Window row_number).
Does this PR introduce any user-facing change?
Yes. Queries using SPJ with partial clustering followed by dedup operations will now return correct results.
How was this patch tested?
Three regression tests added. All 53 tests pass locally.
Was this patch authored or co-authored using generative AI tooling?
No.