[jira] [Assigned] (MAPREDUCE-6302) Incorrect headroom can lead to a deadlock between map and reduce allocations

["Karthik Kambatla (JIRA)" <ji...@apache.org>]

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

Karthik Kambatla reassigned MAPREDUCE-6302:
-------------------------------------------

    Assignee: Karthik Kambatla  (was: Anubhav Dhoot)

> 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: Karthik Kambatla
>            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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