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From "Jian Fang (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (YARN-1039) Add parameter for YARN resource requests to indicate "long lived"
Date Wed, 21 Jan 2015 04:43:36 GMT

    [ https://issues.apache.org/jira/browse/YARN-1039?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14285159#comment-14285159
] 

Jian Fang commented on YARN-1039:
---------------------------------

I do see the potential use of the distributed scheduling for repeated and handcrafted hadoop
jobs if the algorithm is robust enough. But how to scale then? For example, we have tens of
thousands of jobs every day in some production clusters. It may be difficult to manually specify
the duration values unless hadoop is smart enough to learn job knowledge from past history
automatically or use some calculation based on input size, for example.

Seems to me, categories could be more robust than the direct use of a duration sometimes.
For example, I could define a set as short-lived, medium, and long-lived using a fuzzy logic
and then use the categories in my scheduler to improve the performance. 

How about use a generic object to represent the knowledge of the job? It could be a flag to
indicate long lived or short lived, or a duration value, or some categories. Sorry if this
does not make sense at all, just try to throw out some ideas.





> Add parameter for YARN resource requests to indicate "long lived"
> -----------------------------------------------------------------
>
>                 Key: YARN-1039
>                 URL: https://issues.apache.org/jira/browse/YARN-1039
>             Project: Hadoop YARN
>          Issue Type: Sub-task
>          Components: resourcemanager
>    Affects Versions: 3.0.0, 2.1.1-beta
>            Reporter: Steve Loughran
>            Assignee: Craig Welch
>         Attachments: YARN-1039.1.patch, YARN-1039.2.patch, YARN-1039.3.patch
>
>
> A container request could support a new parameter "long-lived". This could be used by
a scheduler that would know not to host the service on a transient (cloud: spot priced) node.
> Schedulers could also decide whether or not to allocate multiple long-lived containers
on the same node



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