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From "Andrew Wang (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (HDFS-4949) Centralized cache management in HDFS
Date Tue, 21 Jan 2014 22:58:37 GMT

     [ https://issues.apache.org/jira/browse/HDFS-4949?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Andrew Wang updated HDFS-4949:
------------------------------

    Attachment: hdfs-4949-branch-2.patch

Attached is a consolidated patch for branch-2. Unfortunately we left the HDFS-4949 branch
fallow while development continued in trunk, but I did my best to squash all of the caching-related
patches committed thus far into this mega patch. A preliminary test run of HDFS and Common
looked good, but I'm running another right now on this version of the patch to verify.

> Centralized cache management in HDFS
> ------------------------------------
>
>                 Key: HDFS-4949
>                 URL: https://issues.apache.org/jira/browse/HDFS-4949
>             Project: Hadoop HDFS
>          Issue Type: New Feature
>          Components: datanode, namenode
>    Affects Versions: 3.0.0, 2.4.0
>            Reporter: Andrew Wang
>            Assignee: Andrew Wang
>         Attachments: HDFS-4949-consolidated.patch, caching-design-doc-2013-07-02.pdf,
caching-design-doc-2013-08-09.pdf, caching-design-doc-2013-10-24.pdf, caching-testplan.pdf,
hdfs-4949-branch-2.patch
>
>
> HDFS currently has no support for managing or exposing in-memory caches at datanodes.
This makes it harder for higher level application frameworks like Hive, Pig, and Impala to
effectively use cluster memory, because they cannot explicitly cache important datasets or
place their tasks for memory locality.



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