hadoop-yarn-issues mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "Li Lu (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 21:16:01 GMT

    [ https://issues.apache.org/jira/browse/YARN-3134?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14533393#comment-14533393
] 

Li Lu commented on YARN-3134:
-----------------------------

I just opened YARN-3595 to trace all connection cache related discussions. I wrote a summary
for the background of this problem. Please feel free to add more. 

> [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
>              Labels: BB2015-05-TBR
>         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
>
>
> 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.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

Mime
View raw message