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https://issues.apache.org/jira/browse/MAPREDUCE-3005?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13104913#comment-13104913
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Hadoop QA commented on MAPREDUCE-3005:
--------------------------------------
+1 overall. Here are the results of testing the latest attachment
http://issues.apache.org/jira/secure/attachment/12494527/MAPREDUCE-3005.patch
against trunk revision .
+1 @author. The patch does not contain any @author tags.
+1 tests included. The patch appears to include 3 new or modified tests.
+1 javadoc. The javadoc tool did not generate any warning messages.
+1 javac. The applied patch does not increase the total number of javac
compiler warnings.
+1 findbugs. The patch does not introduce any new Findbugs (version 1.3.9)
warnings.
+1 release audit. The applied patch does not increase the total number of
release audit warnings.
+1 core tests. The patch passed unit tests in .
+1 contrib tests. The patch passed contrib unit tests.
Test results:
https://builds.apache.org/job/PreCommit-MAPREDUCE-Build/740//testReport/
Console output:
https://builds.apache.org/job/PreCommit-MAPREDUCE-Build/740//console
This message is automatically generated.
> MR app hangs because of a NPE in ResourceManager
> ------------------------------------------------
>
> Key: MAPREDUCE-3005
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-3005
> Project: Hadoop Map/Reduce
> Issue Type: Bug
> Components: mrv2
> Affects Versions: 0.23.0
> Reporter: Vinod Kumar Vavilapalli
> Assignee: Arun C Murthy
> Fix For: 0.23.0
>
> Attachments: MAPREDUCE-3005-20110914.txt, MAPREDUCE-3005.patch,
> MAPREDUCE-3005.patch
>
>
> The app hangs and it turns out to be a NPE in ResourceManager. This happened
> two of five times on [~karams]'s sort runs on a big cluster.
> {code}
> 2011-09-12 15:02:33,715 ERROR
> org.apache.hadoop.yarn.server.resourcemanager.ResourceManager: Error in
> handling event type NODE_UPDATE to the scheduler
> java.lang.NullPointerException
> at
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.AppSchedulingInfo.allocateNodeLocal(AppSchedulingInfo.java:244)
> at
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.AppSchedulingInfo.allocate(AppSchedulingInfo.java:206)
> at
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApp.allocate(SchedulerApp.java:230)
> at
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.LeafQueue.assignContainer(LeafQueue.java:1120)
> at
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.LeafQueue.assignNodeLocalContainers(LeafQueue.java:961)
> at
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.LeafQueue.assignContainersOnNode(LeafQueue.java:933)
> at
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.LeafQueue.assignContainers(LeafQueue.java:725)
> at
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue.assignContainersToChildQueues(ParentQueue.java:577)
> at
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue.assignContainers(ParentQueue.java:509)
> at
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.CapacityScheduler.nodeUpdate(CapacityScheduler.java:579)
> at
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.CapacityScheduler.handle(CapacityScheduler.java:620)
> at
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.CapacityScheduler.handle(CapacityScheduler.java:75)
> at
> org.apache.hadoop.yarn.server.resourcemanager.ResourceManager$SchedulerEventDispatcher$EventProcessor.run(ResourceManager.java:266)
> at java.lang.Thread.run(Thread.java:619)
> {code}
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