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https://issues.apache.org/jira/browse/YARN-3134?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14493215#comment-14493215
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Zhijie Shen commented on YARN-3134:
-----------------------------------

Another issue: It seems we don't need to build against phoenix 4.3, as the 
timeline service writer implementation use generic JDBC interface. Maybe even 
we don't need to include it inside Hadoop distribution, though it's 
contradictory to the aforementioned simple deployment. However, the benefit is 
that users can choose to deploy with Phoenix 2.x - HBase 0.94.x, Phoenix 3.x - 
HBase 0.94.x or Phoenix 4.x - HBase 0.98.1+.

> [Storage implementation] Exploiting the option of using Phoenix to access 
> HBase backend
> ---------------------------------------------------------------------------------------
>
>                 Key: YARN-3134
>                 URL: https://issues.apache.org/jira/browse/YARN-3134
>             Project: Hadoop YARN
>          Issue Type: Sub-task
>          Components: timelineserver
>            Reporter: Zhijie Shen
>            Assignee: Li Lu
>         Attachments: YARN-3134-040915_poc.patch, YARN-3134-041015_poc.patch, 
> YARN-3134DataSchema.pdf
>
>
> Quote the introduction on Phoenix web page:
> {code}
> Apache Phoenix is a relational database layer over HBase delivered as a 
> client-embedded JDBC driver targeting low latency queries over HBase data. 
> Apache Phoenix takes your SQL query, compiles it into a series of HBase 
> scans, and orchestrates the running of those scans to produce regular JDBC 
> result sets. The table metadata is stored in an HBase table and versioned, 
> such that snapshot queries over prior versions will automatically use the 
> correct schema. Direct use of the HBase API, along with coprocessors and 
> custom filters, results in performance on the order of milliseconds for small 
> queries, or seconds for tens of millions of rows.
> {code}
> It may simply our implementation read/write data from/to HBase, and can 
> easily build index and compose complex query.



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