cloud-fan commented on a change in pull request #26409: [SPARK-29655][SQL] 
Enable adaptive execution should not add more ShuffleExchange
URL: https://github.com/apache/spark/pull/26409#discussion_r344796903
 
 

 ##########
 File path: 
sql/core/src/main/scala/org/apache/spark/sql/execution/exchange/EnsureRequirements.scala
 ##########
 @@ -83,7 +83,25 @@ case class EnsureRequirements(conf: SQLConf) extends 
Rule[SparkPlan] {
         numPartitionsSet.headOption
       }
 
-      val targetNumPartitions = 
requiredNumPartitions.getOrElse(childrenNumPartitions.max)
+      // maxNumPostShufflePartitions is usually larger than 
numShufflePartitions,
+      // which causes some bucket map join lose efficacy after enabling 
adaptive execution.
+      // Please see SPARK-29655 for more details.
+      val expectedChildrenNumPartitions = if (conf.adaptiveExecutionEnabled) {
 
 Review comment:
   The logical is convoluted here as we've already added the shuffles with 
`maxNumPostShufflePartitions`, and we need to revert it.
   
   Can we make the implementation clearer? Basically we are picking the 
`targetNumPartitions` as:
   1. if there are no non-shuffle children, keep the previous behavior.
   2. for non-shuffle children, get the max num partitions among them.
     2.1. if the max num partitions is larger than `conf.numShufflePartitions`, 
pick it as `targetNumPartitions`.
     2.2. otherwise, pick `conf.numShufflePartitions` as `targetNumPartitions` 

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