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From "Hadoop QA (JIRA)" <j...@apache.org>
Subject [jira] Commented: (HADOOP-3227) Implement a binary input/output format for Streaming
Date Wed, 04 Mar 2009 17:49:56 GMT

    [ https://issues.apache.org/jira/browse/HADOOP-3227?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12678809#action_12678809
] 

Hadoop QA commented on HADOOP-3227:
-----------------------------------

-1 overall.  Here are the results of testing the latest attachment 
  http://issues.apache.org/jira/secure/attachment/12401366/hadoop-0.19.1-streaming.jar
  against trunk revision 749919.

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

    -1 tests included.  The patch doesn't appear to include any new or modified tests.
                        Please justify why no tests are needed for this patch.

    -1 patch.  The patch command could not apply the patch.

Console output: http://hudson.zones.apache.org/hudson/job/Hadoop-Patch-minerva.apache.org/4/console

This message is automatically generated.

> Implement a binary input/output format for Streaming
> ----------------------------------------------------
>
>                 Key: HADOOP-3227
>                 URL: https://issues.apache.org/jira/browse/HADOOP-3227
>             Project: Hadoop Core
>          Issue Type: Improvement
>          Components: contrib/streaming
>    Affects Versions: 0.19.1
>            Reporter: Arun C Murthy
>            Assignee: Arun C Murthy
>         Attachments: hadoop-0.19.1-streaming.jar, hadoop-3227.patch
>
>
> Lots of streaming applications process textual data with 1 record per line and fields
separated by a delimiter. It turns out that there is no point in using any of Hadoop's input/output
formats since the streaming script/binary itself will parse the input and break into records
and fields. In such cases we should provide users with a binary input/output format which
just sends 64k (or so) blocks of data directly from HDFS to the streaming application.
> I did something very similar for Pig-Streaming (PIG-94 - BinaryStorage) which resulted
in 300%+ speedup for scanning (identity mapper & map-only jobs) data... the parsing done
by input/output formats in these cases were pure-overhead.

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