ulysses-you commented on code in PR #37537:
URL: https://github.com/apache/spark/pull/37537#discussion_r947485988
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sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/ReplaceCTERefWithRepartition.scala:
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@@ -41,19 +41,25 @@ object ReplaceCTERefWithRepartition extends
Rule[LogicalPlan] {
replaceWithRepartition(plan, mutable.HashMap.empty[Long, LogicalPlan])
}
+ private def canSkipExtraRepartition(p: LogicalPlan): Boolean = p match {
+ case _: RepartitionOperation => true
+ case _: RebalancePartitions => true
+ case _ => false
+ }
+
private def replaceWithRepartition(
plan: LogicalPlan,
cteMap: mutable.HashMap[Long, LogicalPlan]): LogicalPlan = plan match {
case WithCTE(child, cteDefs) =>
cteDefs.foreach { cteDef =>
val inlined = replaceWithRepartition(cteDef.child, cteMap)
val withRepartition =
- if (inlined.isInstanceOf[RepartitionOperation] ||
cteDef.underSubquery) {
+ if (canSkipExtraRepartition(inlined) || cteDef.underSubquery) {
// If the CTE definition plan itself is a repartition operation or
if it hosts a merged
// scalar subquery, we do not need to add an extra repartition
shuffle.
inlined
} else {
- Repartition(conf.numShufflePartitions, shuffle = true, inlined)
+ RepartitionByExpression(Seq.empty, inlined, None)
Review Comment:
it uses RoundRobinPartitioning to do exchange which is same wih Repartition
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