Github user jinxing64 commented on a diff in the pull request:
https://github.com/apache/spark/pull/16620#discussion_r100953546
--- Diff:
core/src/test/scala/org/apache/spark/scheduler/DAGSchedulerSuite.scala ---
@@ -2161,6 +2161,58 @@ class DAGSchedulerSuite extends SparkFunSuite with
LocalSparkContext with Timeou
}
}
+ test("[SPARK-19263] DAGScheduler should not submit multiple active
tasksets," +
+ " even with late completions from earlier stage attempts") {
+ val rddA = new MyRDD(sc, 2, Nil)
+ val shuffleDepA = new ShuffleDependency(rddA, new HashPartitioner(2))
+ val shuffleIdA = shuffleDepA.shuffleId
+
+ val rddB = new MyRDD(sc, 2, List(shuffleDepA), tracker =
mapOutputTracker)
+ val shuffleDepB = new ShuffleDependency(rddB, new HashPartitioner(2))
+
+ val rddC = new MyRDD(sc, 2, List(shuffleDepB), tracker =
mapOutputTracker)
+
+ submit(rddC, Array(0, 1))
+
+ assert(taskSets(0).stageId === 0 && taskSets(0).stageAttemptId === 0)
+ complete(taskSets(0), Seq(
+ (Success, makeMapStatus("hostA", 2)),
+ (Success, makeMapStatus("hostA", 2))))
+
+ // Fetch failed on hostA.
+ runEvent(makeCompletionEvent(
+ taskSets(1).tasks(0),
+ FetchFailed(makeBlockManagerId("hostA"), shuffleIdA, 0, 0,
+ "Fetch failure of task: stageId=1, stageAttempt=0, partitionId=0"),
+ null))
+
+ scheduler.resubmitFailedStages()
+
+ assert(taskSets(2).stageId === 0 && taskSets(2).stageAttemptId === 1)
+ complete(taskSets(2), Seq(
+ (Success, makeMapStatus("hostB", 2)),
+ (Success, makeMapStatus("hostB", 2))))
+
+ // Task succeeds on a failed executor. The success is bogus.
+ runEvent(makeCompletionEvent(
+ taskSets(1).tasks(1), Success, makeMapStatus("hostA", 2)))
+
+ assert(taskSets(3).stageId === 1 && taskSets(2).stageAttemptId === 1)
+ runEvent(makeCompletionEvent(
+ taskSets(3).tasks(0), Success, makeMapStatus("hostB", 2)))
+
+ // There should be no new attempt of stage submitted.
+ assert(taskSets.size === 4)
--- End diff --
Yes, I think so : )
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