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From "Sreekanth Ramakrishnan (JIRA)" <j...@apache.org>
Subject [jira] Commented: (HIVE-1695) MapJoin followed by ReduceSink should be done as single MapReduce Job
Date Tue, 14 Dec 2010 04:53:02 GMT

    [ https://issues.apache.org/jira/browse/HIVE-1695?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12971166#action_12971166
] 

Sreekanth Ramakrishnan commented on HIVE-1695:
----------------------------------------------

Ran test case, TestParse failed and checked it. it seems to be an xml Decoder issue.

The diff's of faliures seems to be of following types:
Original:

{noformat}
<void property="mode"> 
<object class="org.apache.hadoop.hive.ql.udf.generic.GenericUDAFEvaluator$Mode" method="valueOf">

<string>PARTIAL1</string> 
</object> 
{noformat}

test case output:

{noformat}
<void property="mode">
<object class="java.lang.Enum" method="valueOf">
<class>org.apache.hadoop.hive.ql.udf.generic.GenericUDAFEvaluator$Mode</class>
<string>PARTIAL1</string>
</object>
</void>
{noformat}

Marking this patch as available so review can be done.

> MapJoin followed by ReduceSink should be done as single MapReduce Job
> ---------------------------------------------------------------------
>
>                 Key: HIVE-1695
>                 URL: https://issues.apache.org/jira/browse/HIVE-1695
>             Project: Hive
>          Issue Type: Improvement
>          Components: Query Processor
>            Reporter: Amareshwari Sriramadasu
>         Attachments: hive-1695-1.patch, hive-1695.patch
>
>
> Currently MapJoin followed by ReduceSink runs as two MapReduce jobs : One map only job
followed by a Map-Reduce job. It can be combined into single MapReduce Job.

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