Github user kayousterhout commented on a diff in the pull request:
https://github.com/apache/spark/pull/15249#discussion_r81423415
--- Diff:
core/src/test/scala/org/apache/spark/scheduler/TaskSetManagerSuite.scala ---
@@ -809,32 +816,65 @@ class TaskSetManagerSuite extends SparkFunSuite with
LocalSparkContext with Logg
test("Kill other task attempts when one attempt belonging to the same
task succeeds") {
sc = new SparkContext("local", "test")
sched = new FakeTaskScheduler(sc, ("exec1", "host1"), ("exec2",
"host2"))
- val taskSet = FakeTask.createTaskSet(4)
+ val taskSet = FakeTask.createTaskSet(5)
// Set the speculation multiplier to be 0 so speculative tasks are
launched immediately
sc.conf.set("spark.speculation.multiplier", "0.0")
+ sc.conf.set("spark.speculation.quantile", "0.6")
val clock = new ManualClock()
val manager = new TaskSetManager(sched, taskSet, MAX_TASK_FAILURES,
clock)
val accumUpdatesByTask: Array[Seq[AccumulatorV2[_, _]]] =
taskSet.tasks.map { task =>
task.metrics.internalAccums
}
// Offer resources for 4 tasks to start
+ val tasks = new ArrayBuffer[TaskDescription]()
for ((k, v) <- List(
"exec1" -> "host1",
"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)
+ tasks += task
}
- assert(sched.startedTasks.toSet === Set(0, 1, 2, 3))
- // Complete the 3 tasks and leave 1 task in running
+ assert(sched.startedTasks.toSet === (0 until 5).toSet)
+ // Complete 3 tasks and leave 2 task in running
for (id <- Set(0, 1, 2)) {
manager.handleSuccessfulTask(id, createTaskResult(id,
accumUpdatesByTask(id)))
assert(sched.endedTasks(id) === Success)
}
+ def runningTaskForIndex(index: Int): TaskDescription = {
+ val t = tasks.find { task => task.index == index &&
!sched.endedTasks.contains(task.taskId) }
--- End diff --
here you can do tasks.find {... }.getOrElse { throw new
RuntimeException(s".... }
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