ahshahid commented on code in PR #50033:
URL: https://github.com/apache/spark/pull/50033#discussion_r1996622704
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core/src/main/scala/org/apache/spark/scheduler/ShuffleMapStage.scala:
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@@ -90,8 +90,11 @@ private[spark] class ShuffleMapStage(
/** Returns the sequence of partition ids that are missing (i.e. needs to be
computed). */
override def findMissingPartitions(): Seq[Int] = {
- mapOutputTrackerMaster
- .findMissingPartitions(shuffleDep.shuffleId)
- .getOrElse(0 until numPartitions)
+ if (this.areAllPartitionsMissing(this.latestInfo.attemptNumber())) {
Review Comment:
@attilapiros I suppose you meant to abort result stage in the above code of
submitMissingTasks in case some partition is updated.... That can be one
option.. but I feel it makes sense to avoid that if poissible..
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