You are viewing a plain text version of this content. The canonical link for it is here.
Posted to mapreduce-issues@hadoop.apache.org by "Karthik Kambatla (JIRA)" <ji...@apache.org> on 2012/08/06 11:09:02 UTC

[jira] [Updated] (MAPREDUCE-4518) FairScheduler: PoolSchedulable#updateDemand() - potential redundant aggregation

     [ https://issues.apache.org/jira/browse/MAPREDUCE-4518?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Karthik Kambatla updated MAPREDUCE-4518:
----------------------------------------

    Attachment: MR-4518_branch1.patch

The patch implements the proposed optimization.
                
> FairScheduler: PoolSchedulable#updateDemand() - potential redundant aggregation
> -------------------------------------------------------------------------------
>
>                 Key: MAPREDUCE-4518
>                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-4518
>             Project: Hadoop Map/Reduce
>          Issue Type: Improvement
>          Components: contrib/fair-share
>    Affects Versions: 1.0.3
>            Reporter: Karthik Kambatla
>            Assignee: Karthik Kambatla
>         Attachments: MR-4518_branch1.patch
>
>
> In FS, PoolSchedulable#updateDemand() limits the demand to maxTasks only after iterating though all the pools and computing the final demand. 
> By checking if the demand has reached maxTasks in every iteration, we can avoid redundant work, at the expense of one condition check every iteration.

--
This message is automatically generated by JIRA.
If you think it was sent incorrectly, please contact your JIRA administrators: https://issues.apache.org/jira/secure/ContactAdministrators!default.jspa
For more information on JIRA, see: http://www.atlassian.com/software/jira