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https://issues.apache.org/jira/browse/TAJO-1766?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14710810#comment-14710810
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ASF GitHub Bot commented on TAJO-1766:
--------------------------------------

Github user jinossy commented on the pull request:

    https://github.com/apache/tajo/pull/706#issuecomment-134512935
  
    Awesome!!
    
    I've test your query on Tez and same cluster. but I've stop the query after 
5h
    ```
    hive> select count(*) from partsupp, supplier_small;
    Warning: Shuffle Join MERGEJOIN[11][tables = [partsupp, supplier_small]] in 
Stage 'Reducer 2' is a cross product
    Query ID = hadoop_20150825100744_8e11a2d9-d918-473f-bad2-36e403d6eca3
    Total jobs = 1
    Launching Job 1 out of 1
    
    
    Status: Running (Executing on YARN cluster with App id 
application_1440464539141_0001)
    
    
--------------------------------------------------------------------------------
            VERTICES      STATUS  TOTAL  COMPLETED  RUNNING  PENDING  FAILED  
KILLED
    
--------------------------------------------------------------------------------
    Exiting the JVM.   SUCCEEDED    224        224        0        0       0    
   0
    Interrupting... Be patient, this might take some time.0        0       0    
   0
    Map 1 ..........   SUCCEEDED    224        224        0        0       0    
   0
    Map 4 ..........   SUCCEEDED      1          1        0        0       0    
   0
    Reducer 2            RUNNING      1          0        1        0       0    
   0
    Reducer 3             INITED      1          0        0        1       0    
   0
    
--------------------------------------------------------------------------------
    VERTICES: 02/04  [=========================>>-] 99%   ELAPSED TIME: 
22510.28 s
    ```


> Improve the performance of cross join
> -------------------------------------
>
>                 Key: TAJO-1766
>                 URL: https://issues.apache.org/jira/browse/TAJO-1766
>             Project: Tajo
>          Issue Type: Improvement
>          Components: distributed query plan
>            Reporter: Jihoon Son
>            Assignee: Jihoon Son
>             Fix For: 0.11.0
>
>
> Cross join is one of the very heavy operations. Furthermore, this operator is 
> performed by a single worker in the current implementation. (Please see the 
> implementation of HashPartitioner. If partitionKeyIds is empty, 
> getPartition() always returns a single value.)
> One possible alternative is executing cross join with broadcast join. That 
> is, outer table (smaller one) is always broadcasted, and join is performed by 
> the machine who stores a part of inner table.
> To do so, a new session variable is required to set the broadcast threshold 
> for cross join. 



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