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From "Junping Du (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (YARN-3134) [Storage implementation] Exploiting the option of using Phoenix to access HBase backend
Date Thu, 07 May 2015 23:34:01 GMT

    [ https://issues.apache.org/jira/browse/YARN-3134?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14533600#comment-14533600
] 

Junping Du commented on YARN-3134:
----------------------------------

bq. We've also got some code cleanup work to do, but I put them in a priority lower than getting
the performance evaluation done for now. 
I disagree. Actually, it usually takes more time for reviewer to identify these code style
issues than simply fix it. Please respect the effort unless you have different opinions against
these comments.

> [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: 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-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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