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From "Tsuyoshi OZAWA (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HDFS-4949) Centralized cache management in HDFS
Date Wed, 07 Aug 2013 04:43:49 GMT

    [ https://issues.apache.org/jira/browse/HDFS-4949?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13731632#comment-13731632
] 

Tsuyoshi OZAWA commented on HDFS-4949:
--------------------------------------

Hi,

Are there any plan to add APIs to access this caching layer directly from processing framework
- e.g. MR? RDD(Spark) paper says that serialization/deserialization of file contents can be
the bottleneck of processing. If we have such general APIs using mlock/munlock, it can reduce
processing time drastically. Or, this idea is out of scope of this JIRA?
                
> 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
>
>
> 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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