ahshahid commented on code in PR #50033:
URL: https://github.com/apache/spark/pull/50033#discussion_r2025278265
##########
core/src/test/scala/org/apache/spark/scheduler/DAGSchedulerSuite.scala:
##########
@@ -3185,16 +3202,164 @@ class DAGSchedulerSuite extends SparkFunSuite with
TempLocalSparkContext with Ti
"Spark can only do this while using the new shuffle block fetching
protocol"))
}
+
+
+ test("SPARK-51272: retry all the partitions of result stage, if the first
result task" +
+ " has failed and failing ShuffleMap stage is inDeterminate") {
+ this.dagSchedulerInterceptor = createDagInterceptorForSpark51272(
+ () => taskSets(2).tasks(1), "RELEASE_LATCH")
+
+ val numPartitions = 2
+ // The first shuffle stage is completed by the below function itself which
creates two
+ // indeterminate stages.
+ val (shuffleId1, shuffleId2) = constructTwoStages(
+ stage1InDeterminate = false, stage2InDeterminate = true)
+ completeShuffleMapStageSuccessfully(shuffleId2, 0, numPartitions)
+ val resultStage = scheduler.stageIdToStage(2).asInstanceOf[ResultStage]
+ val activeJob = resultStage.activeJob
+ assert(activeJob.isDefined)
+ // The result stage is still waiting for its 2 tasks to complete
+ assert(resultStage.findMissingPartitions() ==
Seq.tabulate(numPartitions)(i => i))
+
+ // The below event is going to initiate the retry of previous
indeterminate stages, and also
+ // the retry of all result tasks. But before the "ResubmitFailedStages"
event is added to the
+ // queue of Scheduler, a successful completion of the result partition
task is added to the
+ // event queue. Due to scenario, the bug surfaces where instead of retry
of all partitions
+ // of result tasks (2 tasks in total), only some (1 task) get retried
+ runEvent(
+ makeCompletionEvent(
+ taskSets(2).tasks(0),
+ FetchFailed(makeBlockManagerId("hostA"), shuffleId1, 0L, 0, 0,
"ignored"),
Review Comment:
@attilapiros For join cases, shuffle stage0 and shuffle stage 1 both are
dependencies of result stage?
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