[
https://issues.apache.org/jira/browse/HDFS-4949?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13807952#comment-13807952
]
Hudson commented on HDFS-4949:
------------------------------
FAILURE: Integrated in Hadoop-Mapreduce-trunk #1593 (See
[https://builds.apache.org/job/Hadoop-Mapreduce-trunk/1593/])
Merge HDFS-4949 branch back into trunk (cmccabe:
http://svn.apache.org/viewcvs.cgi/?root=Apache-SVN&view=rev&rev=1536572)
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* /hadoop/common/trunk/hadoop-mapreduce-project
* /hadoop/common/trunk/hadoop-mapreduce-project/CHANGES.txt
* /hadoop/common/trunk/hadoop-mapreduce-project/conf
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> 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, 2.3.0
> Reporter: Andrew Wang
> Assignee: Andrew Wang
> Attachments: 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-consolidated.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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