aokolnychyi commented on code in PR #38557:
URL: https://github.com/apache/spark/pull/38557#discussion_r1017352098
##########
sql/core/src/main/scala/org/apache/spark/sql/execution/dynamicpruning/RowLevelOperationRuntimeGroupFiltering.scala:
##########
@@ -89,10 +88,8 @@ case class
RowLevelOperationRuntimeGroupFiltering(optimizeSubqueries: Rule[Logic
buildKeys: Seq[Attribute],
pruningKeys: Seq[Attribute]): Expression = {
- val buildQuery = Project(buildKeys, matchingRowsPlan)
- val dynamicPruningSubqueries = pruningKeys.zipWithIndex.map { case (key,
index) =>
- DynamicPruningSubquery(key, buildQuery, buildKeys, index,
onlyInBroadcast = false)
- }
- dynamicPruningSubqueries.reduce(And)
+ val buildQuery = Aggregate(buildKeys, buildKeys, matchingRowsPlan)
Review Comment:
Got it. I was originally worried we could miss some future optimizations
given that dynamic pruning for row-level operations would go through a
different route compared to the normal DPP.
One alternative could be to extend `DynamicPruningSubquery` with a flag
whether it should be optimized or not. Up to you, though.
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