cloud-fan commented on a change in pull request #27226: [SPARK-30524] [SQL]
Disable OptimizeSkewedJoin rule when introducing additional shuffle
URL: https://github.com/apache/spark/pull/27226#discussion_r367228616
##########
File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/OptimizeSkewedJoin.scala
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@@ -171,16 +208,20 @@ case class OptimizeSkewedJoin(conf: SQLConf) extends
Rule[SparkPlan] {
left, partitionId, leftMapIdStartIndices(i), leftEndMapId)
val rightSkewedReader = SkewedPartitionReaderExec(right,
partitionId,
rightMapIdStartIndices(j), rightEndMapId)
+ val skewedLeft = reOptimizeChild(leftSkewedReader, leftPlan)
+ val skewedRight = reOptimizeChild(rightSkewedReader, rightPlan)
subJoins += SortMergeJoinExec(leftKeys, rightKeys, joinType,
condition,
- s1.copy(child = leftSkewedReader), s2.copy(child =
rightSkewedReader))
+ skewedLeft, skewedRight)
}
}
}
logDebug(s"number of skewed partitions is ${skewedPartitions.size}")
if (skewedPartitions.nonEmpty) {
+ val visitedStages = HashSet.empty[Int]
val optimizedSmj = smj.transformDown {
Review comment:
how about `transformUp`? Then we don't need the `visitedStages`
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