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Posted to yarn-issues@hadoop.apache.org by "Li Lu (JIRA)" <ji...@apache.org> on 2016/03/23 01:00:28 UTC

[jira] [Commented] (YARN-3816) [Aggregation] App-level aggregation and accumulation for YARN system metrics

    [ https://issues.apache.org/jira/browse/YARN-3816?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15207570#comment-15207570 ] 

Li Lu commented on YARN-3816:
-----------------------------

Going through the 1st milestone list and found we haven't touched this issue this year. Shall we revive our work here? I think this is a critical issue to make our milestone. I can provide help if needed. 

> [Aggregation] App-level aggregation and accumulation 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
>              Labels: yarn-2928-1st-milestone
>         Attachments: Application Level Aggregation of Timeline Data.pdf, YARN-3816-YARN-2928-v1.patch, YARN-3816-YARN-2928-v2.1.patch, YARN-3816-YARN-2928-v2.2.patch, YARN-3816-YARN-2928-v2.3.patch, YARN-3816-YARN-2928-v2.patch, YARN-3816-YARN-2928-v3.1.patch, YARN-3816-YARN-2928-v3.patch, YARN-3816-YARN-2928-v4.patch, YARN-3816-feature-YARN-2928.v4.1.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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