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https://issues.apache.org/jira/browse/HIVE-2253?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13161334#comment-13161334
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Hudson commented on HIVE-2253:
------------------------------

Integrated in Hive-trunk-h0.21 #1117 (See 
[https://builds.apache.org/job/Hive-trunk-h0.21/1117/])
    HIVE-2253. Merge failing of join tree in exceptional case
(Navis Ryu via jvs)

jvs : http://svn.apache.org/viewcvs.cgi/?root=Apache-SVN&view=rev&rev=1209226
Files : 
* /hive/trunk/ql/src/java/org/apache/hadoop/hive/ql/parse/SemanticAnalyzer.java
* /hive/trunk/ql/src/test/queries/clientpositive/mergejoins.q
* /hive/trunk/ql/src/test/results/clientpositive/mergejoins.q.out

                
> Merge failing of join tree in exceptional case
> ----------------------------------------------
>
>                 Key: HIVE-2253
>                 URL: https://issues.apache.org/jira/browse/HIVE-2253
>             Project: Hive
>          Issue Type: Bug
>          Components: Query Processor
>    Affects Versions: 0.9.0
>         Environment: hadoop 0.20.2, hive 0.7.0
>            Reporter: Navis
>            Assignee: Navis
>            Priority: Minor
>             Fix For: 0.9.0
>
>         Attachments: HIVE-2253-0.8.0.patch, HIVE-2253.1.patch.txt
>
>
> In some very exceptional cases, SemanticAnayzer fails to merge join tree. 
> Example is below.
> create table a (val1 int, val2 int)
> create table b (val1 int, val2 int)
> create table c (val1 int, val2 int)
> create table d (val1 int, val2 int)
> create table e (val1 int, val2 int)
> 1. all same(single) join key --> one MR, good
> select * from a join b on a.val1=b.val1 join c on a.val1=c.val1 join d on 
> a.val1=d.val1 join e on a.val1=e.val1
> 2. two join keys --> expected to have two MR, but resulted to three MR
> select * from a join b on a.val1=b.val1 join c on a.val1=c.val1 join d on 
> a.val1=d.val1 join e on a.val2=e.val2
> 3. by changing the join order, we could attain two MR as first-expectation.
> select * from a join e on a.val2=e.val2 join c on a.val1=c.val1 join d on 
> a.val1=d.val1 join b on a.val1=b.val1

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