fix: add explicit sort for window aggregates to fix correctness issues#3397
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andygrove wants to merge 2 commits intoapache:mainfrom
Open
fix: add explicit sort for window aggregates to fix correctness issues#3397andygrove wants to merge 2 commits intoapache:mainfrom
andygrove wants to merge 2 commits intoapache:mainfrom
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The core issue was that BoundedWindowAggExec requires InputOrderMode::Sorted but the input wasn't always properly sorted when ORDER BY was present. Changes: - Add explicit SortExec before BoundedWindowAggExec when ORDER BY is present - Change getSupportLevel from blanket Incompatible to Compatible for valid cases - Properly detect unsupported case: partition exprs must be subset of order exprs - Disable window by default (spark.comet.exec.window.enabled=false) to avoid breaking changes; users can opt-in to test the fix What now works natively (when enabled): - COUNT, SUM, MIN, MAX window aggregates - OVER() - no partition, no order - OVER(ORDER BY x) - order only - OVER(PARTITION BY x) - partition only - OVER(PARTITION BY x ORDER BY x, y) - partition is subset of order Tracking issue: apache#2721 Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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I need to regenerate the golden files |
comphead
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Feb 6, 2026
| createExecEnabledConfig("explode", defaultValue = true) | ||
| val COMET_EXEC_WINDOW_ENABLED: ConfigEntry[Boolean] = | ||
| createExecEnabledConfig("window", defaultValue = true) | ||
| createExecEnabledConfig("window", defaultValue = false) |
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ouch I thought window was disabled
comphead
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Feb 6, 2026
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| // Ensure input is properly sorted when ORDER BY is present | ||
| // BoundedWindowAggExec requires InputOrderMode::Sorted | ||
| let needs_explicit_sort = !sort_exprs.is_empty(); |
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needs_explicit_sort confusing IMO.
can we just make a simple
if sort_exprs.is_empty() {plan } else { sort plan }
comphead
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Feb 6, 2026
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| override def getSupportLevel(op: WindowExec): SupportLevel = { | ||
| Incompatible(Some("Native WindowExec has known correctness issues")) | ||
| // DataFusion requires that partition expressions must be part of the sort ordering. |
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I'm not sure if its true, need to check
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Summary
This PR fixes core correctness issues with windowed aggregate queries by adding an explicit
SortExecbeforeBoundedWindowAggExecwhen ORDER BY is present.Tracking Issue: #2721
Changes
Add explicit SortExec (
planner.rs) - Insert sort beforeBoundedWindowAggExecwhen ORDER BY is present, ensuringInputOrderMode::Sortedrequirement is satisfiedImprove support level detection (
CometWindowExec.scala) - Change from blanketIncompatibletoCompatiblefor valid cases, with proper validation that partition expressions must be a subset of order expressionsDisable by default (
CometConf.scala) - Setspark.comet.exec.window.enabled=falseto avoid breaking changes; users can opt-in to testWhat's Now Supported (when enabled)
COUNT,SUM,MIN,MAXOVER()- no partition, no orderOVER(ORDER BY x)- order onlyOVER(PARTITION BY x)- partition onlyOVER(PARTITION BY x ORDER BY x, y)- partition is subset of orderWhat's NOT Supported (falls back to Spark)
PARTITION BY a ORDER BY bwhere partition columns differ from order columnsAVGwindow aggregate (native implementation has known issues)ROW_NUMBER,RANK,DENSE_RANK, etc.LAG,LEADFIRST_VALUE,LAST_VALUE,NTH_VALUERANGE BETWEENwith numeric/temporal expressions (Invalid argument error: Invalid arithmetic operation: Int32 - Int64 #1246)Test Plan
🤖 Generated with Claude Code