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Posted to reviews@spark.apache.org by dhruve <gi...@git.apache.org> on 2018/09/11 19:36:24 UTC
[GitHub] spark pull request #22288: [SPARK-22148][SPARK-15815][Scheduler] Acquire new...
Github user dhruve commented on a diff in the pull request:
https://github.com/apache/spark/pull/22288#discussion_r216795021
--- Diff: core/src/main/scala/org/apache/spark/scheduler/TaskSchedulerImpl.scala ---
@@ -414,9 +425,48 @@ private[spark] class TaskSchedulerImpl(
launchedAnyTask |= launchedTaskAtCurrentMaxLocality
} while (launchedTaskAtCurrentMaxLocality)
}
+
if (!launchedAnyTask) {
- taskSet.abortIfCompletelyBlacklisted(hostToExecutors)
- }
+ taskSet.getCompletelyBlacklistedTaskIfAny(hostToExecutors) match {
+ case taskIndex: Some[Int] => // Returns the taskIndex which was unschedulable
+
+ // If the taskSet is unschedulable we kill an existing blacklisted executor/s and
+ // kick off an abortTimer which after waiting will abort the taskSet if we were
+ // unable to schedule any task from the taskSet.
+ // Note: We keep a track of schedulability on a per taskSet basis rather than on a
+ // per task basis.
+ val executor = hostToExecutors.valuesIterator.next().iterator.next()
--- End diff --
That's a nice suggestion.
There was a case where you could have a few executors running, let's say just 3 of them and all are blacklisted but have some tasks running on them. To satisfy this, I had started modifying this to take down an executor with the least no. of tasks running on them. I'll check some more on this.
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