[GitHub] [spark] ulysses-you commented on a diff in pull request #37537: [SPARK-40105][SQL] Improve repartition in ReplaceCTERefWithRepartition

[GitBox <gi...@apache.org>]

ulysses-you commented on code in PR #37537:
URL: https://github.com/apache/spark/pull/37537#discussion_r947485988


##########
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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