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https://issues.apache.org/jira/browse/YARN-3134?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14503427#comment-14503427
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Vrushali C commented on YARN-3134:
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Hi [~zjshen] Actually, [~gtCarrera9], [~sjlee0] and I were just discussing this
last week. I was thinking of storing the relatesTo and isRelatedTo as a set of
comma-separated (some separator) string that contains the list of entities as a
single value and the column key to be "isRelatedTo" or "relatesTo". That way,
the reader that needs these values can look at the columns "isRelatedTo" or
"relatesTo".
> [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-3134-041415_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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