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From "Sandy Ryza (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (MAPREDUCE-5113) Streaming input/output types are ignored with java mapper/reducer
Date Mon, 01 Apr 2013 21:29:17 GMT

     [ https://issues.apache.org/jira/browse/MAPREDUCE-5113?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Sandy Ryza updated MAPREDUCE-5113:
----------------------------------

    Description: 
After MAPREDUCE-1888, with a java mapper or reducer, StreamJob doesn't respect stream.map.output/stream.reduce.output
when setting a job's output key/value classes, even if these configs are explicitly set by
the user.


As MAPREDUCE-1888 is not in branch-1, this change is only needed in hadoop 2.

  was:
After MAPREDUCE-1888, with a java mapper or reducer, StreamJob doesn't respect stream.map.output/stream.reduce.output
to set a job's output key/value classes.


unless they are specified in the streaming command line.  If the configs aren't specified
in either of these places, the streaming defaults (Text) no longer kick in, and the global
default LongWritable is used.

This can cause jobs/output writers that are expecting Text to fail.

    
> Streaming input/output types are ignored with java mapper/reducer
> -----------------------------------------------------------------
>
>                 Key: MAPREDUCE-5113
>                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-5113
>             Project: Hadoop Map/Reduce
>          Issue Type: Bug
>    Affects Versions: 2.0.2-alpha
>            Reporter: Sandy Ryza
>            Assignee: Sandy Ryza
>         Attachments: HADOOP-9300-1.patch, HADOOP-9300-2.patch, HADOOP-9300-2.patch, HADOOP-9300-2.patch,
HADOOP-9300-3.patch, HADOOP-9300.patch, HADOOP-9300.patch, MAPREDUCE-5113.patch
>
>
> After MAPREDUCE-1888, with a java mapper or reducer, StreamJob doesn't respect stream.map.output/stream.reduce.output
when setting a job's output key/value classes, even if these configs are explicitly set by
the user.
> As MAPREDUCE-1888 is not in branch-1, this change is only needed in hadoop 2.

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