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Posted to issues@spark.apache.org by "Marcelo Vanzin (JIRA)" <ji...@apache.org> on 2015/10/07 20:39:27 UTC
[jira] [Resolved] (SPARK-10964) YARN + dynamic allocation not
working with new RPC backend
[ https://issues.apache.org/jira/browse/SPARK-10964?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Marcelo Vanzin resolved SPARK-10964.
------------------------------------
Resolution: Fixed
Assignee: Marcelo Vanzin
> YARN + dynamic allocation not working with new RPC backend
> ----------------------------------------------------------
>
> Key: SPARK-10964
> URL: https://issues.apache.org/jira/browse/SPARK-10964
> Project: Spark
> Issue Type: Bug
> Components: YARN
> Affects Versions: 1.6.0
> Reporter: Marcelo Vanzin
> Assignee: Marcelo Vanzin
> Priority: Blocker
>
> The AM fails to register with the driver and you end up seeing a lot of exceptions like this (with dynamic allocation on):
> {noformat}
> 15/10/06 14:41:16 ERROR YarnSchedulerBackend$YarnSchedulerEndpoint: Sending RequestExecutors(8,0,Map()) to AM was unsuccessful
> java.lang.NullPointerException
> at org.apache.spark.scheduler.cluster.YarnSchedulerBackend$YarnSchedulerEndpoint$$anonfun$receiveAndReply$1$$anonfun$applyOrElse$3.apply$mcV$sp(YarnSchedulerBackend.scala:188)
> at org.apache.spark.scheduler.cluster.YarnSchedulerBackend$YarnSchedulerEndpoint$$anonfun$receiveAndReply$1$$anonfun$applyOrElse$3.apply(YarnSchedulerBackend.scala:186)
> at org.apache.spark.scheduler.cluster.YarnSchedulerBackend$YarnSchedulerEndpoint$$anonfun$receiveAndReply$1$$anonfun$applyOrElse$3.apply(YarnSchedulerBackend.scala:186)
> {noformat}
> This probably affects more than just dynamic allocation, but I haven't tested. I'm testing a fix currently.
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