Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/21577#discussion_r196290828
--- Diff:
core/src/main/scala/org/apache/spark/scheduler/OutputCommitCoordinator.scala ---
@@ -109,20 +116,21 @@ private[spark] class OutputCommitCoordinator(conf:
SparkConf, isDriver: Boolean)
* @param maxPartitionId the maximum partition id that could appear in
this stage's tasks (i.e.
* the maximum possible value of
`context.partitionId`).
*/
- private[scheduler] def stageStart(stage: StageId, maxPartitionId: Int):
Unit = synchronized {
+ private[scheduler] def stageStart(stage: Int, maxPartitionId: Int): Unit
= synchronized {
stageStates(stage) = new StageState(maxPartitionId + 1)
--- End diff --
I checked the related code in `DAGScheduler`, if `T1_1.1` succeeds, the
re-tried stage won't launch task for this partition, because Spark tracks
finished tasks for a job.
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