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https://issues.apache.org/jira/browse/MAPREDUCE-3343?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13149009#comment-13149009
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Hadoop QA commented on MAPREDUCE-3343:
--------------------------------------
-1 overall. Here are the results of testing the latest attachment
http://issues.apache.org/jira/secure/attachment/12503477/MAPREDUCE-3343_rev2.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 patch. The patch command could not apply the patch.
Console output:
https://builds.apache.org/job/PreCommit-MAPREDUCE-Build/1297//console
This message is automatically generated.
> TaskTracker Out of Memory because of distributed cache
> ------------------------------------------------------
>
> Key: MAPREDUCE-3343
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-3343
> Project: Hadoop Map/Reduce
> Issue Type: Bug
> Components: mrv1
> Affects Versions: 0.20.205.0
> Reporter: Ahmed Radwan
> Assignee: zhaoyunjiong
> Labels: mapreduce, patch
> Attachments: MAPREDUCE-3343_rev2.patch,
> mapreduce-3343-release-0.20.205.0.patch
>
>
> This Out of Memory happens when you run large number of jobs (using the
> distributed cache) on a TaskTracker.
> Seems the basic issue is with the distributedCacheManager (instance of
> TrackerDistributedCacheManager in TaskTracker.java), this gets created during
> TaskTracker.initialize(), and it keeps references to
> TaskDistributedCacheManager for every submitted job via the jobArchives Map,
> also references to CacheStatus via cachedArchives map. I am not seeing these
> cleaned up between jobs, so this can out of memory problems after really
> large number of jobs are submitted. We have seen this issue in a number of
> cases.
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