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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2016/03/09 11:27:40 UTC
[jira] [Updated] (SPARK-13631) getPreferredLocations race condition
in spark 1.6.0?
[ https://issues.apache.org/jira/browse/SPARK-13631?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen updated SPARK-13631:
------------------------------
Assignee: Andy Sloane
> getPreferredLocations race condition in spark 1.6.0?
> ----------------------------------------------------
>
> Key: SPARK-13631
> URL: https://issues.apache.org/jira/browse/SPARK-13631
> Project: Spark
> Issue Type: Bug
> Components: Scheduler
> Affects Versions: 1.6.0
> Reporter: Andy Sloane
> Assignee: Andy Sloane
> Fix For: 1.6.2, 2.0.0
>
>
> We are seeing something that looks a lot like a regression from spark 1.2. When we run jobs with multiple threads, we have a crash somewhere inside getPreferredLocations, as was fixed in SPARK-4454. Except now it's inside org.apache.spark.MapOutputTrackerMaster.getLocationsWithLargestOutputs instead of DAGScheduler directly.
> I tried Spark 1.2 post-SPARK-4454 (before this patch it's only slightly flaky), 1.4.1, and 1.5.2 and all are fine. 1.6.0 immediately crashes on our threaded test case, though once in a while it passes.
> The stack trace is huge, but starts like this:
> Caused by: java.lang.NullPointerException: null
> at org.apache.spark.MapOutputTrackerMaster.getLocationsWithLargestOutputs(MapOutputTracker.scala:406)
> at org.apache.spark.MapOutputTrackerMaster.getPreferredLocationsForShuffle(MapOutputTracker.scala:366)
> at org.apache.spark.rdd.ShuffledRDD.getPreferredLocations(ShuffledRDD.scala:92)
> at org.apache.spark.rdd.RDD$$anonfun$preferredLocations$2.apply(RDD.scala:257)
> at org.apache.spark.rdd.RDD$$anonfun$preferredLocations$2.apply(RDD.scala:257)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.preferredLocations(RDD.scala:256)
> at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$getPreferredLocsInternal(DAGScheduler.scala:1545)
> The full trace is available here:
> https://gist.github.com/andy256/97611f19924bbf65cf49
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