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Posted to mapreduce-dev@hadoop.apache.org by "Scott Chen (JIRA)" <ji...@apache.org> on 2009/10/22 00:20:59 UTC

[jira] Created: (MAPREDUCE-1129) Assign multiple Map and Reduce tasks in Fairscheduler

Assign multiple Map and Reduce tasks in Fairscheduler
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                 Key: MAPREDUCE-1129
                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-1129
             Project: Hadoop Map/Reduce
          Issue Type: Improvement
          Components: contrib/fair-share
    Affects Versions: 0.20.1
            Reporter: Scott Chen


In Hadoop-0.20, the period of heartbeat becomes much longer. 
Fairscheduler assigns at most one Map and one Reduce task per heartbeat.
This makes the cluster become very inefficient. Often time only half of the slots are used.

One idea is that we make Fairscheduler detect this situation (cluster under used) and scheduler more tasks in a heartbeat.
Thoughts?

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[jira] Resolved: (MAPREDUCE-1129) Assign multiple Map and Reduce tasks in Fairscheduler

Posted by "Todd Lipcon (JIRA)" <ji...@apache.org>.
     [ https://issues.apache.org/jira/browse/MAPREDUCE-1129?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Todd Lipcon resolved MAPREDUCE-1129.
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    Resolution: Duplicate

Resolving as duplicate since this is in MAPREDUCE-706. Regarding the backport for Cloudera's distro, we will definitely include this in 0.20 in CDH3, and it's looking like we may backport for CDH2 in the coming weeks as well.

> Assign multiple Map and Reduce tasks in Fairscheduler
> -----------------------------------------------------
>
>                 Key: MAPREDUCE-1129
>                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-1129
>             Project: Hadoop Map/Reduce
>          Issue Type: Improvement
>          Components: contrib/fair-share
>    Affects Versions: 0.20.1
>            Reporter: Scott Chen
>
> In Hadoop-0.20, the period of heartbeat becomes much longer. 
> Fairscheduler assigns at most one Map and one Reduce task per heartbeat.
> This makes the cluster become very inefficient. Often time only half of the slots are used.
> One idea is that we make Fairscheduler detect this situation (cluster under used) and scheduler more tasks in a heartbeat.
> Thoughts?

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