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https://issues.apache.org/jira/browse/YARN-3816?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15237024#comment-15237024
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Varun Saxena commented on YARN-3816:
------------------------------------

Had a quick scan of the patch. There seems to be multiple aggregation 
operations. If we are appending it to a column qualifier and with 4 aggregation 
operations, we would need to create 4 single column value filters for a single 
metric i.e. if metric filter says metric1 > 40, we will have to create filter 
list like
metric1=SUM > 40 OR metric1=AVG > 40 OR metric1=NOOP > 40 and so on.

Will these aggregation operations be required by Offline aggregation(YARN-3817) 
?
If yes, can there be some other mechanism to indicate these aggregation 
operations instead of appending it in the column qualifier ?
Configuring it in some way, was a suggestion given earlier.

cc [~sjlee0]

> [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: Li Lu
>              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-YARN-2928-v5.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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