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From "Subramaniam Venkatraman Krishnan (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (YARN-2386) Refactor common scheduler configurations into a base ResourceSchedulerConfig class
Date Wed, 06 Aug 2014 02:08:13 GMT

     [ https://issues.apache.org/jira/browse/YARN-2386?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Subramaniam Venkatraman Krishnan updated YARN-2386:
---------------------------------------------------

    Description: As discussed with [~leftnoteasy], [~jianhe] and [~kasha], this JIRA proposes
refactoring common configuration from Capacity & Fair scheduler to a common base class
to avoid duplicating configs. Currently Capacity & Fair scheduler directly extend configuration
and adding a common base Resource scheduler config class would also align with the Resource
Scheduler hierarchy and enable other systems like reservation system (YARN-2080) to be scheduler
implementation agnostic.  (was: As discussed with [~leftnoteasy], [~jianhe] and [~kasha],
this JIRA proposes refactoring common configuration from Capacity & Fair scheduler to
a common base class to avoid duplicating configs. Currently Capacity & Fair scheduler
directly extend configuration and adding a common base )

> Refactor common scheduler configurations into a base ResourceSchedulerConfig class
> ----------------------------------------------------------------------------------
>
>                 Key: YARN-2386
>                 URL: https://issues.apache.org/jira/browse/YARN-2386
>             Project: Hadoop YARN
>          Issue Type: Sub-task
>          Components: resourcemanager
>            Reporter: Subramaniam Venkatraman Krishnan
>            Assignee: Subramaniam Venkatraman Krishnan
>
> As discussed with [~leftnoteasy], [~jianhe] and [~kasha], this JIRA proposes refactoring
common configuration from Capacity & Fair scheduler to a common base class to avoid duplicating
configs. Currently Capacity & Fair scheduler directly extend configuration and adding
a common base Resource scheduler config class would also align with the Resource Scheduler
hierarchy and enable other systems like reservation system (YARN-2080) to be scheduler implementation
agnostic.



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