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From "Varun Saxena (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (YARN-3816) [Aggregation] App-level Aggregation for YARN system metrics
Date Wed, 26 Aug 2015 00:44:46 GMT

    [ https://issues.apache.org/jira/browse/YARN-3816?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14712261#comment-14712261
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Varun Saxena commented on YARN-3816:
------------------------------------

Hmm...Not being called by client is not a problem. I did not mean that. I was primarily thinking
of these classes as data classes with getters and setters, and functional logic detatched
from them. And this method is not using any member variables either.
But yes this method wont be generic enough at a global level. There is point to that as well.

Currently this method aggregateTo is not static. I think it should be made static even if
its kept inside TimelineMetric as its not using any member variables. 



> [Aggregation] App-level Aggregation for YARN system metrics
> -----------------------------------------------------------
>
>                 Key: YARN-3816
>                 URL: https://issues.apache.org/jira/browse/YARN-3816
>             Project: Hadoop YARN
>          Issue Type: Sub-task
>          Components: timelineserver
>            Reporter: Junping Du
>            Assignee: Junping Du
>         Attachments: Application Level Aggregation of Timeline Data.pdf, YARN-3816-YARN-2928-v1.patch,
YARN-3816-poc-v1.patch, YARN-3816-poc-v2.patch
>
>
> We need application level aggregation of Timeline data:
> - To present end user aggregated states for each application, include: resource (CPU,
Memory) consumption across all containers, number of containers launched/completed/failed,
etc. We need this for apps while they are running as well as when they are done.
> - Also, framework specific metrics, e.g. HDFS_BYTES_READ, should be aggregated to show
details of states in framework level.
> - Other level (Flow/User/Queue) aggregation can be more efficient to be based on Application-level
aggregations rather than raw entity-level data as much less raws need to scan (with filter
out non-aggregated entities, like: events, configurations, etc.).



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