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From "Hemanth Yamijala (JIRA)" <j...@apache.org>
Subject [jira] Commented: (HADOOP-5186) Improve limit handling in fairshare scheduler
Date Mon, 09 Feb 2009 06:56:59 GMT

    [ https://issues.apache.org/jira/browse/HADOOP-5186?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12671747#action_12671747
] 

Hemanth Yamijala commented on HADOOP-5186:
------------------------------------------

BTW, the capacity scheduler implemented a similar algorithm for lazy initialization, while
balancing the utilization needs of the cluster. If you would like, please take a look at src/contrib/capacity-scheduler/src/o.a.h.m.JobInitializationPoller.java
for details.

> Improve limit handling in fairshare scheduler
> ---------------------------------------------
>
>                 Key: HADOOP-5186
>                 URL: https://issues.apache.org/jira/browse/HADOOP-5186
>             Project: Hadoop Core
>          Issue Type: Improvement
>          Components: contrib/fair-share
>            Reporter: Hemanth Yamijala
>            Priority: Minor
>
> The fairshare scheduler has a way by which it can limit the number of jobs in a pool
by setting the maxRunningJobs parameter in its allocations definition. This limit is treated
as a hard limit, and comes into effect even if the cluster is free to run more jobs, resulting
in underutilization. Possibly the same thing happens with the parameter maxRunningJobs for
user and userMaxJobsDefault. It may help to treat these as a soft limit and run additional
jobs to keep the cluster fully utilized.

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