[SPARK-54749][SQL] Fix incorrect numOutputRows metric in OneRowRelationExec #53520
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cfmcgrady
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the bug was introduced in #50849 |
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Also cc @pan3793 for finding this bug while adding Spark 4.1.0 support for Kyuubi in apache/kyuubi#7254 . |
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LGTM, @cfmcgrady, thanks for fixing it quickly!
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cloud-fan
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sql/core/src/test/scala/org/apache/spark/sql/execution/metric/SQLMetricsSuite.scala
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cloud-fan
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the pyspark failure is unrelated, thanks, merging to master/4.1! |
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…onExec ### What changes were proposed in this pull request? This PR moves the `numOutputRows` metric update logic from the val rdd initialization block to the `doExecute()` method in `OneRowRelationExec`. ### Why are the changes needed? Currently, the `numOutputRows` metric in `OneRowRelationExec` is incorrectly incremented twice in the codegen codebase (displaying 2 instead of 1 for a single row). before this PR: <img width="251" height="318" alt="企业微信截图_70a269d7-7e34-40a4-a0f4-abeae7283a79" src="https://github.com/user-attachments/assets/4a376f45-e89d-4fa6-8ba9-a564663467cf" /> after this PR: <img width="242" height="314" alt="企业微信截图_d7fab096-024e-440b-94e1-707296258c55" src="https://github.com/user-attachments/assets/036de957-9ba9-4b7d-a89e-ed737d23eae2" /> ### Does this PR introduce _any_ user-facing change? No, only bug fix. ### How was this patch tested? Added UT. ### Was this patch authored or co-authored using generative AI tooling? Closes #53520 from cfmcgrady/fix-onerowrelation-metrics. Authored-by: Fu Chen <[email protected]> Signed-off-by: Wenchen Fan <[email protected]> (cherry picked from commit a26c209) Signed-off-by: Wenchen Fan <[email protected]>
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What changes were proposed in this pull request?
This PR moves the
numOutputRowsmetric update logic from the val rdd initialization block to thedoExecute()method inOneRowRelationExec.Why are the changes needed?
Currently, the
numOutputRowsmetric inOneRowRelationExecis incorrectly incremented twice in the codegen codebase (displaying 2 instead of 1 for a single row).before this PR:
after this PR:
Does this PR introduce any user-facing change?
No, only bug fix.
How was this patch tested?
Added UT.
Was this patch authored or co-authored using generative AI tooling?