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From "Hudson (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (MAPREDUCE-5043) Fetch failure processing can cause AM event queue to backup and eventually OOM
Date Tue, 05 Mar 2013 10:47:39 GMT

    [ https://issues.apache.org/jira/browse/MAPREDUCE-5043?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13593307#comment-13593307
] 

Hudson commented on MAPREDUCE-5043:
-----------------------------------

Integrated in Hadoop-Yarn-trunk #146 (See [https://builds.apache.org/job/Hadoop-Yarn-trunk/146/])
    MAPREDUCE-5043. Fetch failure processing can cause AM event queue to backup and eventually
OOM (Jason Lowe via bobby) (Revision 1452372)

     Result = SUCCESS
bobby : http://svn.apache.org/viewcvs.cgi/?root=Apache-SVN&view=rev&rev=1452372
Files : 
* /hadoop/common/trunk/hadoop-mapreduce-project/CHANGES.txt
* /hadoop/common/trunk/hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-app/src/main/java/org/apache/hadoop/mapreduce/v2/app/job/TaskAttempt.java
* /hadoop/common/trunk/hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-app/src/main/java/org/apache/hadoop/mapreduce/v2/app/job/impl/JobImpl.java
* /hadoop/common/trunk/hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-app/src/main/java/org/apache/hadoop/mapreduce/v2/app/job/impl/TaskAttemptImpl.java
* /hadoop/common/trunk/hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-app/src/test/java/org/apache/hadoop/mapreduce/v2/app/MockJobs.java
* /hadoop/common/trunk/hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-app/src/test/java/org/apache/hadoop/mapreduce/v2/app/TestRuntimeEstimators.java
* /hadoop/common/trunk/hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-hs/src/main/java/org/apache/hadoop/mapreduce/v2/hs/CompletedTaskAttempt.java

                
> Fetch failure processing can cause AM event queue to backup and eventually OOM
> ------------------------------------------------------------------------------
>
>                 Key: MAPREDUCE-5043
>                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-5043
>             Project: Hadoop Map/Reduce
>          Issue Type: Bug
>          Components: mr-am
>    Affects Versions: 0.23.7, 2.0.4-beta
>            Reporter: Jason Lowe
>            Assignee: Jason Lowe
>            Priority: Blocker
>             Fix For: 3.0.0, 0.23.7, 2.0.4-beta
>
>         Attachments: MAPREDUCE-5043.patch
>
>
> Saw an MRAppMaster with a 3G heap OOM.  Upon investigating another instance of it running,
we saw the UI in a weird state where the task table and task attempt tables in the job overview
page weren't consistent.  The AM log showed the AsyncDispatcher had hundreds of thousands
of events in the event queue, and jstacks showed it spending a lot of time in fetch failure
processing.  It turns out fetch failure processing is currently *very* expensive, with a triple
{{for}} loop where the inner loop is calling the quite-expensive {{TaskAttempt.getReport}}.
 That function ends up type-converting the entire task report, counters and all, and performing
locale conversions among other things.  It does this for every reduce task in the job, for
every map task that failed.  And when it's done building up the large task report, it pulls
out one field, the phase, then throws the report away.
> While the AM is busy processing fetch failures, tasks attempts are continuing to send
events to the AM including memory-expensive events like status updates which include the counters.
 These back up in the AsyncDispatcher event queue and eventually even an AM with a large heap
size will run out of memory and crash or expire because it thrashes in garbage collect.

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