ulysses-you commented on a change in pull request #32816:
URL: https://github.com/apache/spark/pull/32816#discussion_r695402449



##########
File path: 
sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/AQEUtils.scala
##########
@@ -57,4 +58,20 @@ object AQEUtils {
       }
     case _ => Some(UnspecifiedDistribution)
   }
+
+  // Add an extra shuffle if input plan does not satisfy the required 
distribution.
+  // This method is invoked after optimizing skewed join in case we change 
final stage
+  // output partitioning.
+  def ensureRequiredDistribution(
+      plan: SparkPlan, distribution: Option[Distribution]): SparkPlan = 
distribution match {
+    case Some(d) if !plan.outputPartitioning.satisfies(d) =>
+      val numPartitions = 
d.requiredNumPartitions.getOrElse(conf.numShufflePartitions)
+      val shuffleOrigin = if (d.requiredNumPartitions.isDefined) {
+        REPARTITION_BY_NUM
+      } else {
+        REPARTITION_BY_COL
+      }
+      ShuffleExchangeExec(d.createPartitioning(numPartitions), plan, 
shuffleOrigin)

Review comment:
       We should retain origin shuffle here, otherwise some stage optimize 
rules  can break the `ENSIRE_REQUIREMENT` output partitioning in next stage. 
e.g. `CoalesceShufflePartitions` when the input plan's origin is 
`REPARTITION_BY_NUM`




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