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From "Mayank Bansal (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (MAPREDUCE-4305) Implement delay scheduling in capacity scheduler for improving data locality
Date Tue, 05 Jun 2012 00:27:23 GMT

    [ https://issues.apache.org/jira/browse/MAPREDUCE-4305?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13289020#comment-13289020
] 

Mayank Bansal commented on MAPREDUCE-4305:
------------------------------------------

@Amar 

Can you please please share the numbers for data locality which you are seeing? I am running
Tera sort for my benchmarking.

@Thomas

2-5% tasks are off rack and rest are rack local.
                
> Implement delay scheduling in capacity scheduler for improving data locality
> ----------------------------------------------------------------------------
>
>                 Key: MAPREDUCE-4305
>                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-4305
>             Project: Hadoop Map/Reduce
>          Issue Type: New Feature
>            Reporter: Mayank Bansal
>            Assignee: Mayank Bansal
>
> Capacity Scheduler data local tasks are about 40%-50% which is not good.
> While my test with 70 node cluster i consistently get data locality around 40-50% on
a free cluster.
> I think we need to implement something like delay scheduling in the capacity scheduler
for improving the data locality.
> http://radlab.cs.berkeley.edu/publication/308
> After implementing the delay scheduling on Hadoop 22 I am getting 100 % data locality
in free cluster and around 90% data locality in busy cluster.
> Thanks,
> Mayank

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