LantaoJin commented on a change in pull request #23951:
[SPARK-13704][CORE][YARN] Re-implement RackResolver to reduce resolving time
URL: https://github.com/apache/spark/pull/23951#discussion_r266814656
##########
File path:
core/src/test/scala/org/apache/spark/scheduler/TaskSetManagerSuite.scala
##########
@@ -1602,4 +1611,50 @@ class TaskSetManagerSuite extends SparkFunSuite with
LocalSparkContext with Logg
verify(sched.dagScheduler).taskEnded(manager.tasks(3), Success,
result.value(),
result.accumUpdates, info3)
}
+
+ test("SPARK-27038 Verify the rack resolving time has been reduced") {
+ sc = new SparkContext("local", "test")
+ for (i <- 0 to 99) {
+ FakeRackUtil.assignHostToRack("host" + i, "rack" + (i % 20))
+ }
+ sched = new FakeTaskScheduler(sc,
+ ("execA", "host1"), ("execB", "host2"), ("execC", "host3"))
+ val locations = new ArrayBuffer[Seq[TaskLocation]]()
+ for (i <- 0 to 99) {
+ locations += Seq(TaskLocation("host" + i))
+ }
+ val taskSet = FakeTask.createTaskSet(100, locations: _*)
+ val clock = new ManualClock
+ val manager = new TaskSetManager(sched, taskSet, MAX_TASK_FAILURES, clock
= clock)
+ var total = 0
+ for (i <- 0 until 20) {
+ val numTaskInRack = manager.getPendingTasksForRack("rack" + i).length
Review comment:
I've followed your advice and updated.
----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
For queries about this service, please contact Infrastructure at:
[email protected]
With regards,
Apache Git Services
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
