cloud-fan commented on code in PR #44661:
URL: https://github.com/apache/spark/pull/44661#discussion_r1462863274
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sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/CoalesceShufflePartitions.scala:
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@@ -146,13 +147,16 @@ case class CoalesceShufflePartitions(session:
SparkSession) extends AQEShuffleRe
Seq(collectShuffleStageInfos(r))
case unary: UnaryExecNode => collectCoalesceGroups(unary.child)
case union: UnionExec => union.children.flatMap(collectCoalesceGroups)
- // If not all leaf nodes are exchange query stages, it's not safe to
reduce the number of
- // shuffle partitions, because we may break the assumption that all
children of a spark plan
- // have same number of output partitions.
+ case join: CartesianProductExec =>
join.children.flatMap(collectCoalesceGroups)
Review Comment:
I'd prefer the current "whilte list" approach to be conservative. If there
is a bug then we mistakenly coalesce shuffle partitions and lead to correctness
issues.
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