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Posted to yarn-issues@hadoop.apache.org by "Wei Yan (JIRA)" <ji...@apache.org> on 2014/07/10 22:43:04 UTC

[jira] [Commented] (YARN-2273) NPE in ContinuousScheduling Thread crippled RM after DN flap

    [ https://issues.apache.org/jira/browse/YARN-2273?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14057930#comment-14057930 ] 

Wei Yan commented on YARN-2273:
-------------------------------

Thanks for the catch, [~skeltoac].

A quick guess is that the NodeAvailableResourceComparator doesn't check whether the node is alive when does comparison. A node may be removed during the sorting process. I'll re-check it.

> NPE in ContinuousScheduling Thread crippled RM after DN flap
> ------------------------------------------------------------
>
>                 Key: YARN-2273
>                 URL: https://issues.apache.org/jira/browse/YARN-2273
>             Project: Hadoop YARN
>          Issue Type: Bug
>          Components: fairscheduler, resourcemanager
>    Affects Versions: 2.3.0
>         Environment: cdh5.0.2 wheezy
>            Reporter: Andy Skelton
>
> One DN experienced memory errors and entered a cycle of rebooting and rejoining the cluster. After the second time the node went away, the RM produced this:
> {code}
> 2014-07-09 21:47:36,571 INFO org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.FairScheduler: Application attempt appattempt_1404858438119_4352_000001 released container container_1404858438119_4352_01_000004 on node: host: node-A16-R09-19.hadoop.dfw.wordpress.com:8041 #containers=0 available=<memory:8192, vCores:8> used=<memory:0, vCores:0> with event: KILL
> 2014-07-09 21:47:36,571 INFO org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.FairScheduler: Removed node node-A16-R09-19.hadoop.dfw.wordpress.com:8041 cluster capacity: <memory:335872, vCores:328>
> 2014-07-09 21:47:36,571 ERROR org.apache.hadoop.yarn.YarnUncaughtExceptionHandler: Thread Thread[ContinuousScheduling,5,main] threw an Exception.
> java.lang.NullPointerException
> 	at org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.FairScheduler$NodeAvailableResourceComparator.compare(FairScheduler.java:1044)
> 	at org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.FairScheduler$NodeAvailableResourceComparator.compare(FairScheduler.java:1040)
> 	at java.util.TimSort.countRunAndMakeAscending(TimSort.java:329)
> 	at java.util.TimSort.sort(TimSort.java:203)
> 	at java.util.TimSort.sort(TimSort.java:173)
> 	at java.util.Arrays.sort(Arrays.java:659)
> 	at java.util.Collections.sort(Collections.java:217)
> 	at org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.FairScheduler.continuousScheduling(FairScheduler.java:1012)
> 	at org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.FairScheduler.access$600(FairScheduler.java:124)
> 	at org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.FairScheduler$2.run(FairScheduler.java:1306)
> 	at java.lang.Thread.run(Thread.java:744)
> {code}
> A few cycles later YARN was crippled. The RM was running and jobs could be submitted but containers were not assigned and no progress was made. Restarting the RM resolved it.



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