pgandhi999 commented on a change in pull request #23677:
[SPARK-26755][SCHEDULER] : Optimize Spark Scheduler to dequeue speculative
tasks…
URL: https://github.com/apache/spark/pull/23677#discussion_r304132824
##########
File path:
core/src/test/scala/org/apache/spark/scheduler/TaskSetManagerSuite.scala
##########
@@ -1655,4 +1657,70 @@ class TaskSetManagerSuite extends SparkFunSuite with
LocalSparkContext with Logg
// get removed inside TaskSchedulerImpl later.
assert(availableResources(GPU) sameElements Array("0", "1", "2", "3"))
}
+
+ test("SPARK-26755 Ensure that a speculative task is submitted only once for
execution") {
+ sc = new SparkContext("local", "test")
+ sched = new FakeTaskScheduler(sc, ("exec1", "host1"), ("exec2", "host2"))
+ val taskSet = FakeTask.createTaskSet(4)
+ // Set the speculation multiplier to be 0 so speculative tasks are
launched immediately
+ sc.conf.set(config.SPECULATION_MULTIPLIER, 0.0)
+ sc.conf.set(config.SPECULATION_ENABLED, true)
+ sc.conf.set(config.SPECULATION_QUANTILE, 0.5)
+ val clock = new ManualClock()
+ val manager = new TaskSetManager(sched, taskSet, MAX_TASK_FAILURES, clock
= clock)
+ val accumUpdatesByTask: Array[Seq[AccumulatorV2[_, _]]] =
taskSet.tasks.map { task =>
+ task.metrics.internalAccums
+ }
+ // Offer resources for 4 tasks to start
+ for ((k, v) <- List(
+ "exec1" -> "host1",
+ "exec1" -> "host1",
+ "exec2" -> "host2",
+ "exec2" -> "host2")) {
Review comment:
Done
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