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Date: Sat, 21 Oct 2017 06:06:56 +0000 (UTC)
From: "Varun Saxena (JIRA)" <jira@apache.org>
To: yarn-issues@hadoop.apache.org
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Subject: [jira] [Updated] (YARN-3134) [Storage implementation] Exploiting
 the option of using Phoenix to access HBase backend
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archived-at: Sat, 21 Oct 2017 06:07:05 -0000


     [ https://issues.apache.org/jira/browse/YARN-3134?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Varun Saxena updated YARN-3134:
-------------------------------
    Fix Version/s: 2.9.0

> [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
>             Fix For: 2.9.0, 3.0.0-alpha1
>
>         Attachments: SettingupPhoenixstorageforatimelinev2end-to-endtest.pdf, YARN-3134-040915_poc.patch, YARN-3134-041015_poc.patch, YARN-3134-041415_poc.patch, YARN-3134-042115.patch, YARN-3134-042715.patch, YARN-3134-YARN-2928.001.patch, YARN-3134-YARN-2928.002.patch, YARN-3134-YARN-2928.003.patch, YARN-3134-YARN-2928.004.patch, YARN-3134-YARN-2928.005.patch, YARN-3134-YARN-2928.006.patch, YARN-3134-YARN-2928.007.patch, YARN-3134DataSchema.pdf, hadoop-zshen-nodemanager-d-128-95-184-84.dhcp4.washington.edu.out
>
>
> 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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