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