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From "Karthik Kambatla (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (MAPREDUCE-6302) Incorrect headroom can lead to a deadlock between map and reduce allocations
Date Wed, 30 Sep 2015 16:42:05 GMT

     [ https://issues.apache.org/jira/browse/MAPREDUCE-6302?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Karthik Kambatla updated MAPREDUCE-6302:
----------------------------------------
    Attachment: mr-6302-1.patch

Updated patch includes a test to verify the fix. I have made a few other changes to make the
related surrounding code a little simpler. 

> Incorrect headroom can lead to a deadlock between map and reduce allocations 
> -----------------------------------------------------------------------------
>
>                 Key: MAPREDUCE-6302
>                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-6302
>             Project: Hadoop Map/Reduce
>          Issue Type: Bug
>    Affects Versions: 2.6.0
>            Reporter: mai shurong
>            Assignee: Anubhav Dhoot
>            Priority: Critical
>         Attachments: AM_log_head100000.txt.gz, AM_log_tail100000.txt.gz, log.txt, mr-6302-1.patch,
mr-6302-prelim.patch, queue_with_max163cores.png, queue_with_max263cores.png, queue_with_max333cores.png
>
>
> I submit a  big job, which has 500 maps and 350 reduce, to a queue(fairscheduler) with
300 max cores. When the big mapreduce job is running 100% maps, the 300 reduces have occupied
300 max cores in the queue. And then, a map fails and retry, waiting for a core, while the
300 reduces are waiting for failed map to finish. So a deadlock occur. As a result, the job
is blocked, and the later job in the queue cannot run because no available cores in the queue.
> I think there is the similar issue for memory of a queue .



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