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https://issues.apache.org/jira/browse/YARN-3419?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14386790#comment-14386790
]
Hadoop QA commented on YARN-3419:
---------------------------------
{color:red}-1 overall{color}. Here are the results of testing the latest
attachment
http://issues.apache.org/jira/secure/attachment/12708160/YARN-3419-1.patch
against trunk revision ae3e8c6.
{color:red}-1 patch{color}. The patch command could not apply the patch.
Console output: https://builds.apache.org/job/PreCommit-YARN-Build/7149//console
This message is automatically generated.
> ConcurrentModificationException in FSLeafQueue
> ----------------------------------------------
>
> Key: YARN-3419
> URL: https://issues.apache.org/jira/browse/YARN-3419
> Project: Hadoop YARN
> Issue Type: Bug
> Components: yarn
> Affects Versions: 2.5.0
> Reporter: Dustin Cote
> Assignee: Dustin Cote
> Attachments: YARN-3419-1.patch
>
>
> Heavy Resource Manager use causes a manifestation of a
> ConcurrentModificationException in FSLeafQueue. Doesn't look like
> FSLeafQueue does anything except add, remove, traverse, and get sorted, so I
> think we could use a CopyOnWriteArrayList that will use a bit more memory but
> remove these exceptions. Seems to me that there will be relatively few app
> adds compared to the number of traversals. Stack trace below:
> 2015-03-27 00:47:34,773 ERROR
> org.apache.hadoop.yarn.server.resourcemanager.ResourceManager: Error in
> handling event type CONTAINER_ALLOCATED for applicationAttempt
> application_1427401429921_3388
> java.util.ConcurrentModificationException
> at java.util.ArrayList$Itr.checkForComodification(ArrayList.java:859)
> at java.util.ArrayList$Itr.next(ArrayList.java:831)
> at
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.FSLeafQueue.getResourceUsage(FSLeafQueue.java:147)
> at
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.FSAppAttempt.getHeadroom(FSAppAttempt.java:180)
> at
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.FairScheduler.allocate(FairScheduler.java:923)
> at
> org.apache.hadoop.yarn.server.resourcemanager.rmapp.attempt.RMAppAttemptImpl$AMContainerAllocatedTransition.transition(RMAppAttemptImpl.java:929)
> at
> org.apache.hadoop.yarn.server.resourcemanager.rmapp.attempt.RMAppAttemptImpl$AMContainerAllocatedTransition.transition(RMAppAttemptImpl.java:922)
> at
> org.apache.hadoop.yarn.state.StateMachineFactory$MultipleInternalArc.doTransition(StateMachineFactory.java:385)
> at
> org.apache.hadoop.yarn.state.StateMachineFactory.doTransition(StateMachineFactory.java:302)
> at
> org.apache.hadoop.yarn.state.StateMachineFactory.access$300(StateMachineFactory.java:46)
> at
> org.apache.hadoop.yarn.state.StateMachineFactory$InternalStateMachine.doTransition(StateMachineFactory.java:448)
> at
> org.apache.hadoop.yarn.server.resourcemanager.rmapp.attempt.RMAppAttemptImpl.handle(RMAppAttemptImpl.java:757)
> at
> org.apache.hadoop.yarn.server.resourcemanager.rmapp.attempt.RMAppAttemptImpl.handle(RMAppAttemptImpl.java:110)
> at
> org.apache.hadoop.yarn.server.resourcemanager.ResourceManager$ApplicationAttemptEventDispatcher.handle(ResourceManager.java:765)
> at
> org.apache.hadoop.yarn.server.resourcemanager.ResourceManager$ApplicationAttemptEventDispatcher.handle(ResourceManager.java:746)
> at
> org.apache.hadoop.yarn.event.AsyncDispatcher.dispatch(AsyncDispatcher.java:173)
> at
> org.apache.hadoop.yarn.event.AsyncDispatcher$1.run(AsyncDispatcher.java:106)
> at java.lang.Thread.run(Thread.java:744)
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