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From "Li Lu (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (YARN-3816) [Aggregation] App-level Aggregation for YARN system metrics
Date Thu, 27 Aug 2015 00:32:46 GMT

    [ https://issues.apache.org/jira/browse/YARN-3816?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14715809#comment-14715809
] 

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

Hi [~djp], I briefly looked at the patch, and have one quick question: In application table,
we no longer store the type of the incoming entities, IIUC. All entity types from the application
table will be added in HBaseReader, as in:
{code}
        String entityType = isApplication ?
          TimelineEntityType.YARN_APPLICATION.toString() :
          EntityColumn.TYPE.readResult(result).toString();
{code} 
In this case, maybe we're missing YARN_APPLICATION_AGGREGATION types and we can no longer
differentiating them? Or, any other ways we can recognize if an entity comes from application
itself, or from aggregation? (Am I missing anything? )

> [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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