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From "Suresh Srinivas (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HDFS-4949) Centralized cache management in HDFS
Date Sat, 13 Jul 2013 00:13:48 GMT

    [ https://issues.apache.org/jira/browse/HDFS-4949?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13707572#comment-13707572
] 

Suresh Srinivas commented on HDFS-4949:
---------------------------------------

The problem for partical cache is though, while at file level or directory level it is easy
to address the data to be cached, more granular level means that the cache management layer
(hopefully I would like see it in namenode) will cause bloat in how much data must be tracked
in cache manager.

How about making use of access patterns and build it instead of managed cache?
                
> 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, 2.2.0
>            Reporter: Andrew Wang
>            Assignee: Andrew Wang
>         Attachments: caching-design-doc-2013-07-02.pdf
>
>
> 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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