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From "Rohith Sharma K S (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (YARN-4852) Resource Manager Ran Out of Memory
Date Tue, 22 Mar 2016 10:12:25 GMT

    [ https://issues.apache.org/jira/browse/YARN-4852?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15206113#comment-15206113
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Rohith Sharma K S commented on YARN-4852:
-----------------------------------------

[~slukog] Can you more information to verify why there was immediate glitch
# Any NM got restarted? If so how many and how many containers were running in each NM.?
# Was there RM heavily loaded or any deadlock in scheduler where most of the node heart beat
was not processed by scheduler?
# Do you have Jstack report for RM  while memory is increasing?

These container status are cleared from nodeUpdateQueue when node heartbeat is processed by
scheduler. If there is any issue/slow from scheduler, these status would pile up and cause
OOM.

> Resource Manager Ran Out of Memory
> ----------------------------------
>
>                 Key: YARN-4852
>                 URL: https://issues.apache.org/jira/browse/YARN-4852
>             Project: Hadoop YARN
>          Issue Type: Bug
>          Components: resourcemanager
>    Affects Versions: 2.6.0
>            Reporter: Gokul
>
> Resource Manager went out of memory (max heap size: 8 GB, CMS GC) and shut down itself.

> Heap dump analysis reveals that 1200 instances of RMNodeImpl class hold 86% of memory.
When digged deep, there are around 0.5 million objects of UpdatedContainerInfo (nodeUpdateQueue
inside RMNodeImpl). This in turn contains around 1.7 million objects of YarnProtos$ContainerIdProto,
ContainerStatusProto, ApplicationAttemptIdProto, ApplicationIdProto each of which retain around
1 GB heap.
> Full GC was triggered multiple times when RM went OOM and only 300 MB of heap was released.
So all these objects look like live objects.
> RM's usual heap usage is around 4 GB but it suddenly spiked to 8 GB in 20 mins time and
went OOM.
> There are no spike in job submissions, container numbers at the time of issue occurrence.




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