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https://issues.apache.org/jira/browse/YARN-3816?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15067340#comment-15067340
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Sangjin Lee commented on YARN-3816:
-----------------------------------

Right. There was a discussion around YARN-4053 on the column names for metrics, 
because we felt that there were multiple cases that may require encoding more 
information into the metric column names. The "toAggregate" flag was one of 
them. But depending on how we do this, it can make things like filtering 
tricky. Furthermore, if we have to add multiple dimensions to the column names, 
then we need to be REAL careful to do it in a manner that doesn't destroy 
usability or performance. You might want to check out the comments Varun 
referenced.

At that time, we said we should explore ways to handle the information whether 
to aggregate certain metrics outside the HBase column names (e.g. separate 
configuration or properties, etc.). We can discuss this more here.

> [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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