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