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From "Omkar Vinit Joshi (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (YARN-957) Capacity Scheduler tries to reserve the memory more than what node manager reports.
Date Wed, 31 Jul 2013 01:47:48 GMT

     [ https://issues.apache.org/jira/browse/YARN-957?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Omkar Vinit Joshi updated YARN-957:
-----------------------------------

    Attachment: YARN-957-20130730.2.patch
    
> Capacity Scheduler tries to reserve the memory more than what node manager reports.
> -----------------------------------------------------------------------------------
>
>                 Key: YARN-957
>                 URL: https://issues.apache.org/jira/browse/YARN-957
>             Project: Hadoop YARN
>          Issue Type: Bug
>            Reporter: Omkar Vinit Joshi
>            Assignee: Omkar Vinit Joshi
>         Attachments: YARN-957-20130730.1.patch, YARN-957-20130730.2.patch
>
>
> I have 2 node managers.
> * one with 1024 MB memory.(nm1)
> * second with 2048 MB memory.(nm2)
> I am submitting simple map reduce application with 1 mapper and one reducer with 1024mb
each. The steps to reproduce this are
> * stop nm2 with 2048MB memory.( This I am doing to make sure that this node's heartbeat
doesn't reach RM first).
> * now submit application. As soon as it receives first node's (nm1) heartbeat it will
try to reserve memory for AM-container (2048MB). However it has only 1024MB of memory.
> * now start nm2 with 2048 MB memory.
> It hangs forever... Ideally this has two potential issues.
> * It should not try to reserve memory on a node manager which is never going to give
requested memory. i.e. Current max capability of node manager is 1024MB but 2048MB is reserved
on it. But it still does that.
> * Say 2048MB is reserved on nm1 but nm2 comes back with 2048MB available memory. In this
case if the original request was made without any locality then scheduler should unreserve
memory on nm1 and allocate requested 2048MB container on nm2.

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