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From "Vrushali C (JIRA)" <j...@apache.org>
Subject [jira] [Created] (YARN-3901) Populate flow run data in the flow_run table
Date Wed, 08 Jul 2015 21:43:05 GMT
Vrushali C created YARN-3901:

             Summary: Populate flow run data in the flow_run table
                 Key: YARN-3901
                 URL: https://issues.apache.org/jira/browse/YARN-3901
             Project: Hadoop YARN
          Issue Type: Sub-task
            Reporter: Vrushali C
            Assignee: Vrushali C

As per the schema proposed in YARN-3815 in https://issues.apache.org/jira/secure/attachment/12743391/hbase-schema-proposal-for-aggregation.pdf

filing jira to track creation and population of data in the flow run table. 

Some points that are being  considered:
- Stores per flow run information aggregated across applications, flow version
RM’s collector writes to on app creation and app completion
- Per App collector writes to it for metric updates at a slower frequency than the metric
updates to application table
primary key: cluster ! user ! flow ! flow run id
- Only the latest version of flow-level aggregated metrics will be kept, even if the entity
and application level keep a timeseries.
- The running_apps column will be incremented on app creation, and decremented on app completion.
- For min_start_time the RM writer will simply write a value with the tag for the applicationId.
A coprocessor will return the min value of all written values. - 
- Upon flush and compactions, the min value between all the cells of this column will be written
to the cell without any tag (empty tag) and all the other cells will be discarded.
- Ditto for the max_end_time, but then the max will be kept.
- Tags are represented as #type:value. The type can be not set (0), or can indicate running
(1) or complete (2). In those cases (for metrics) only complete app metrics are collapsed
on compaction.
- The m! values are aggregated (summed) upon read. Only when applications are completed (indicated
by tag type 2) can the values be collapsed.
- The application ids that have completed and been aggregated into the flow numbers are retained
in a separate column for historical tracking: we don’t want to re-aggregate for those upon


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