jiangxb1987 commented on code in PR #42950:
URL: https://github.com/apache/spark/pull/42950#discussion_r1336208690
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core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala:
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@@ -1903,13 +1903,20 @@ private[spark] class DAGScheduler(
case smt: ShuffleMapTask =>
val shuffleStage = stage.asInstanceOf[ShuffleMapStage]
- shuffleStage.pendingPartitions -= task.partitionId
+ // Ignore task completion for old attempt of indeterminate stage
+ val ignoreIndeterminate = stage.isIndeterminate &&
+ task.stageAttemptId < stage.latestInfo.attemptNumber()
+ if (!ignoreIndeterminate) {
+ shuffleStage.pendingPartitions -= task.partitionId
+ }
val status = event.result.asInstanceOf[MapStatus]
val execId = status.location.executorId
logDebug("ShuffleMapTask finished on " + execId)
if (executorFailureEpoch.contains(execId) &&
smt.epoch <= executorFailureEpoch(execId)) {
logInfo(s"Ignoring possibly bogus $smt completion from executor
$execId")
Review Comment:
If a task is finished but the map output is not registered, the missing
partitions would be recomputed at the end of the stage, so this should be fine.
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