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https://issues.apache.org/jira/browse/YARN-3411?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14554586#comment-14554586
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Sangjin Lee commented on YARN-3411:
-----------------------------------

[~djp], I understand your concern on this. That said, as Vrushali mentioned, 
the schemas are sufficiently different between phoenix and hbase so that I 
doubt that the presence of the flow version in the row key will make a 
significant difference. Also, in the specific test we will run, the flow 
version will be trivial ("1").

For background, I chimed in on a few JIRAs that the flow version does not need 
to be part of the row key (only the flow id and the run id should). I cannot 
find those comments easily, but IMO the flow version does not constitute a 
primary key. Rather, it is an attribute of the flow, and can be stored off the 
primary key.


> [Storage implementation] explore the native HBase write schema for storage
> --------------------------------------------------------------------------
>
>                 Key: YARN-3411
>                 URL: https://issues.apache.org/jira/browse/YARN-3411
>             Project: Hadoop YARN
>          Issue Type: Sub-task
>          Components: timelineserver
>            Reporter: Sangjin Lee
>            Assignee: Vrushali C
>            Priority: Critical
>         Attachments: ATSv2BackendHBaseSchemaproposal.pdf, 
> YARN-3411-YARN-2928.001.patch, YARN-3411-YARN-2928.002.patch, 
> YARN-3411-YARN-2928.003.patch, YARN-3411-YARN-2928.004.patch, 
> YARN-3411-YARN-2928.005.patch, YARN-3411-YARN-2928.006.patch, 
> YARN-3411-YARN-2928.007.patch, YARN-3411.poc.2.txt, YARN-3411.poc.3.txt, 
> YARN-3411.poc.4.txt, YARN-3411.poc.5.txt, YARN-3411.poc.6.txt, 
> YARN-3411.poc.7.txt, YARN-3411.poc.txt
>
>
> There is work that's in progress to implement the storage based on a Phoenix 
> schema (YARN-3134).
> In parallel, we would like to explore an implementation based on a native 
> HBase schema for the write path. Such a schema does not exclude using 
> Phoenix, especially for reads and offline queries.
> Once we have basic implementations of both options, we could evaluate them in 
> terms of performance, scalability, usability, etc. and make a call.



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