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Posted to mapreduce-issues@hadoop.apache.org by "Varene Olivier (JIRA)" <ji...@apache.org> on 2012/12/10 11:09:23 UTC

[jira] [Updated] (MAPREDUCE-4866) ShuffleRamManager is limited to 2Gb of memory - we should increase that

     [ https://issues.apache.org/jira/browse/MAPREDUCE-4866?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Varene Olivier updated MAPREDUCE-4866:
--------------------------------------

    Attachment: MAPREDUCE-4866-INCOMPLETE.patch

This patch is incomplete and does not work !!!
because the allocation of byte array is limited to around Integer.MAX_VALUE,

we need to find another way to allocate such huge space of memory.

What about BigArrays ?
What do you think ? propose ?
                
> ShuffleRamManager is limited to 2Gb of memory - we should increase that
> -----------------------------------------------------------------------
>
>                 Key: MAPREDUCE-4866
>                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-4866
>             Project: Hadoop Map/Reduce
>          Issue Type: Improvement
>          Components: mrv1
>    Affects Versions: 0.20.2
>         Environment: linux, 64bits cpu, more than 2Gb of memory for each reducer tasks
>            Reporter: Varene Olivier
>            Priority: Minor
>              Labels: patch
>         Attachments: MAPREDUCE-4866-INCOMPLETE.patch
>
>
> Inside the org.apache.hadoop.mapred.ReduceTask.java, the *ShuffleRamManager* is limited to allocate up to 2Gb of memory during the shuffle phase. 
> We should be able to allocate more, to take advantage of the full memory we have on servers.

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