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https://issues.apache.org/jira/browse/TEZ-2442?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15277582#comment-15277582
 ] 

TezQA commented on TEZ-2442:
----------------------------

{color:green}+1 overall{color}.  Here are the results of testing the latest 
attachment
  
http://issues.apache.org/jira/secure/attachment/12803121/tez-2442-trunk.5.patch
  against master revision eceb7ac.

    {color:green}+1 @author{color}.  The patch does not contain any @author 
tags.

    {color:green}+1 tests included{color}.  The patch appears to include 5 new 
or modified test files.

    {color:green}+1 javac{color}.  The applied patch does not increase the 
total number of javac compiler warnings.

    {color:green}+1 javadoc{color}.  There were no new javadoc warning messages.

    {color:green}+1 findbugs{color}.  The patch does not introduce any new 
Findbugs (version 3.0.1) warnings.

    {color:green}+1 release audit{color}.  The applied patch does not increase 
the total number of release audit warnings.

    {color:green}+1 core tests{color}.  The patch passed unit tests in .

Test results: 
https://builds.apache.org/job/PreCommit-TEZ-Build/1710//testReport/
Console output: https://builds.apache.org/job/PreCommit-TEZ-Build/1710//console

This message is automatically generated.

> Support DFS based shuffle in addition to HTTP shuffle
> -----------------------------------------------------
>
>                 Key: TEZ-2442
>                 URL: https://issues.apache.org/jira/browse/TEZ-2442
>             Project: Apache Tez
>          Issue Type: Improvement
>    Affects Versions: 0.5.3
>            Reporter: Kannan Rajah
>            Assignee: shanyu zhao
>         Attachments: FS_based_shuffle_v2.pdf, Tez Shuffle using DFS.pdf, 
> hdfs_broadcast_hack.txt, tez-2442-trunk.2.patch, tez-2442-trunk.3.patch, 
> tez-2442-trunk.4.patch, tez-2442-trunk.5.patch, tez-2442-trunk.patch, 
> tez_hdfs_shuffle.patch
>
>
> In Tez, Shuffle is a mechanism by which intermediate data can be shared 
> between stages. Shuffle data is written to local disk and fetched from any 
> remote node using HTTP. A DFS like MapR file system can support writing this 
> shuffle data directly to its DFS using a notion of local volumes and retrieve 
> it using HDFS API from remote node. The current Shuffle implementation 
> assumes local data can only be managed by LocalFileSystem. So it uses 
> RawLocalFileSystem and LocalDirAllocator. If we can remove this assumption 
> and introduce an abstraction to manage local disks, then we can reuse most of 
> the shuffle logic (store, sort) and inject a HDFS API based retrieval instead 
> of HTTP.



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