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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 Thu, 14 Feb 2013 00:20:14 GMT

    [ https://issues.apache.org/jira/browse/MAPREDUCE-4305?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13578062#comment-13578062

Mayank Bansal commented on MAPREDUCE-4305:


Thanks Arun for your comments.
I had a offline discussion with Arun.

The reason behind the timeouts which I have added was due to save jobs from starving if we
have priority however we need more work in that case.
So I am refactoring my patch in to two patches.
This patch is mostly Yarn-80 for Hadoop-1 with test framework for testing those scenarios
like node local , rack local etc.
I will file the JIRA with priority and timeouts and update the patch there.


> 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
>         Attachments: MAPREDUCE-4305, MAPREDUCE-4305-1.patch, PATCH-MAPREDUCE-4305-MR1-1.patch,
> 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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