Github user tgravescs commented on a diff in the pull request: https://github.com/apache/spark/pull/11996#discussion_r58569079 --- Diff: core/src/test/scala/org/apache/spark/scheduler/TaskSetManagerSuite.scala --- @@ -789,6 +791,51 @@ class TaskSetManagerSuite extends SparkFunSuite with LocalSparkContext with Logg assert(TaskLocation("executor_host1_3") === ExecutorCacheTaskLocation("host1", "3")) } + test("Kill other task attempts when one attempt belonging to the same task succeeds") { + sc = new SparkContext("local", "test") + val sched = new FakeTaskScheduler(sc, ("exec1", "host1"), ("exec2", "host2")) + val taskSet = FakeTask.createTaskSet(4) + val manager = new TaskSetManager(sched, taskSet, MAX_TASK_FAILURES) + val accumUpdatesByTask: Array[Seq[AccumulableInfo]] = taskSet.tasks.map { task => + task.initialAccumulators.map { a => a.toInfo(Some(0L), None) } + } + // Offer resources for 4 tasks to start + for ((k, v) <- List( + "exec1" -> "host1", + "exec1" -> "host1", + "exec2" -> "host2", + "exec2" -> "host2")) { + val taskOption = manager.resourceOffer(k, v, NO_PREF) + assert(taskOption.isDefined) + val task = taskOption.get + assert(task.executorId === k) + } + assert(sched.startedTasks.toSet === Set(0, 1, 2, 3)) + // Complete the 3 tasks and leave 1 task in running + for (id <- Set(0, 1, 2)) { + manager.handleSuccessfulTask(id, createTaskResult(id, accumUpdatesByTask(id))) + assert(sched.endedTasks(id) === Success) + } + + // Wait for the threshold time to start speculative attempt for the running task + Thread.sleep(100) --- End diff -- ah you are right, sorry looked at the wrong config.
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