cloud-fan commented on code in PR #53782:
URL: https://github.com/apache/spark/pull/53782#discussion_r2692903253
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core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala:
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@@ -1569,20 +1569,15 @@ private[spark] class DAGScheduler(
// loss. Moreover, because this check occurs later in the process,
if a result stage task
// has successfully completed, we can detect this and abort the
job, as rolling back a
// result stage is not possible.
- val stagesToRollback = collectSucceedingStages(sms)
- filterAndAbortUnrollbackableStages(stagesToRollback)
+ rollbackSucceedingStages(sms, rollbackCurrentStage = true)
Review Comment:
why do we need to rollback the current stage here?
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