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From "Harsh J (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (MAPREDUCE-3812) Lower default allocation sizes, fix allocation configurations and document them
Date Sat, 21 Apr 2012 19:02:34 GMT

     [ https://issues.apache.org/jira/browse/MAPREDUCE-3812?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Harsh J updated MAPREDUCE-3812:
-------------------------------

    Target Version/s: 2.0.0, trunk  (was: trunk, 2.0.0)
        Hadoop Flags: Incompatible change

Ah and yes this is an incompatible change as it changes the way min/max alloc configs are
read. With this patch, no more per-scheduler min/max alloc configs exist.
                
> Lower default allocation sizes, fix allocation configurations and document them
> -------------------------------------------------------------------------------
>
>                 Key: MAPREDUCE-3812
>                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-3812
>             Project: Hadoop Map/Reduce
>          Issue Type: Sub-task
>          Components: mrv2, performance
>    Affects Versions: 0.23.0
>            Reporter: Vinod Kumar Vavilapalli
>            Assignee: Harsh J
>         Attachments: MAPREDUCE-3812-20120205.txt, MAPREDUCE-3812-20120206.1.txt, MAPREDUCE-3812-20120206.txt,
MAPREDUCE-3812.patch, MAPREDUCE-3812.patch, MAPREDUCE-3812.patch
>
>
> After a few performance improvements tracked at MAPREDUCE-3561, like MAPREDUCE-3511 and
MAPREDUCE-3567, even a 100K maps job can also run within 1GB vmem. We earlier increased AM
slot size from 1 slot to two slots to work around the issues with AM heap. Now that those
are fixed, we should go back to 1GB.
> This is just a configuration change.
> [P.s.]:
> - Currently min/max alloc is set at a per-scheduler config level, which makes no sense
as there's no way to run multiple schedulers anyway. Switch configs to use a generic RM-config.
> - The min/max alloc configs aren't documented and we ought to document it (i.e. MAPREDUCE-4027)
> - 1 GB is perhaps too high for a slot's minimum. While job defaults can be left at such
values, we should lower the minimum alloc to 128 MB to allow special requests of low memory
out of the box itself. Shouldn't impact MR App in any way.

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