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From "Vinod Kumar Vavilapalli (Updated) (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (MAPREDUCE-3812) Change default memory slot sizes to be 1.5GB
Date Sun, 05 Feb 2012 23:53:59 GMT

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

Vinod Kumar Vavilapalli updated MAPREDUCE-3812:
-----------------------------------------------

    Attachment: MAPREDUCE-3812-20120205.txt

 - Changed default minimum-allocation-mb to be 1536, maximum-allocation-mb to be 6*1536, default
total memory per node to be 6*1536.
 - Changed default slot size for AM to be 1536, heap size to be 1024mb.
 - Also removed the per-scheduler min and max allocation mb configurations. These are common
concepts across schedulers.
                
> Change default memory slot sizes to be 1.5GB
> --------------------------------------------
>
>                 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: Vinod Kumar Vavilapalli
>             Fix For: 0.23.1
>
>         Attachments: MAPREDUCE-3812-20120205.txt
>
>
> 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.

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