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From "Hadoop QA (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HADOOP-7754) Expose file descriptors from Hadoop-wrapped local FileSystems
Date Mon, 13 Aug 2012 19:36:38 GMT

    [ https://issues.apache.org/jira/browse/HADOOP-7754?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13433453#comment-13433453
] 

Hadoop QA commented on HADOOP-7754:
-----------------------------------

-1 overall.  Here are the results of testing the latest attachment 
  http://issues.apache.org/jira/secure/attachment/12540733/HADOOP-7754_trunk_rev4.patch
  against trunk revision .

    +1 @author.  The patch does not contain any @author tags.

    +1 tests included.  The patch appears to include 1 new or modified test files.

    -1 javac.  The patch appears to cause the build to fail.

Console output: https://builds.apache.org/job/PreCommit-HADOOP-Build/1284//console

This message is automatically generated.
                
> Expose file descriptors from Hadoop-wrapped local FileSystems
> -------------------------------------------------------------
>
>                 Key: HADOOP-7754
>                 URL: https://issues.apache.org/jira/browse/HADOOP-7754
>             Project: Hadoop Common
>          Issue Type: Sub-task
>          Components: native
>    Affects Versions: 0.23.0
>            Reporter: Todd Lipcon
>            Assignee: Todd Lipcon
>         Attachments: hadoop-7754-0.23.0-hasfd.txt, HADOOP-7754_branch-1_rev2.patch, HADOOP-7754_branch-1_rev3.patch,
HADOOP-7754_branch-1_rev4.patch, HADOOP-7754_trunk.patch, HADOOP-7754_trunk_rev2.patch, HADOOP-7754_trunk_rev2.patch,
HADOOP-7754_trunk_rev3.patch, HADOOP-7754_trunk_rev4.patch, hasfd.txt
>
>
> In HADOOP-7714, we determined that using fadvise inside of the MapReduce shuffle can
yield very good performance improvements. But many parts of the shuffle are FileSystem-agnostic
and thus operate on FSDataInputStreams and RawLocalFileSystems. This JIRA is to figure out
how to allow RawLocalFileSystem to expose its FileDescriptor object without unnecessarily
polluting the public APIs.

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