Github user tgravescs commented on a diff in the pull request:
https://github.com/apache/spark/pull/11996#discussion_r58542903
--- 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 --
it would be better to set spark.speculation.interval to known small value
incase the default changes. we might as well make it smaller too so the test
takes less time.
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