[ 
https://issues.apache.org/jira/browse/SPARK-4217?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

peter.zhang updated SPARK-4217:
-------------------------------
    Description: 
I runed a test using same SQL script in SparkSQL, Shark and Hive 
environment(Pure hive application rather than Spark HiveContext) as below
---------------------------------------------------------------
select c.theyear, sum(b.amount)
from tblstock a
join tblStockDetail b on a.ordernumber = b.ordernumber
join tbldate c on a.dateid = c.dateid
group by c.theyear;


result of hive/shark:
theyear _c1
2004    1403018
2005    5557850
2006    7203061
2007    11300432
2008    12109328
2009    5365447
2010    188944

result of SparkSQL:
2010    210924
2004    3265696
2005    13247234
2006    13670416
2007    16711974
2008    14670698
2009    6322137


  was:
I runed a test using same SQL script in SparkSQL, Shark and Hive environment as 
below
---------------------------------------------------------------
select c.theyear, sum(b.amount)
from tblstock a
join tblStockDetail b on a.ordernumber = b.ordernumber
join tbldate c on a.dateid = c.dateid
group by c.theyear;


result of hive/shark:
theyear _c1
2004    1403018
2005    5557850
2006    7203061
2007    11300432
2008    12109328
2009    5365447
2010    188944

result of SparkSQL:
2010    210924
2004    3265696
2005    13247234
2006    13670416
2007    16711974
2008    14670698
2009    6322137



> Result of SparkSQL is incorrect after a table join and group by operation
> -------------------------------------------------------------------------
>
>                 Key: SPARK-4217
>                 URL: https://issues.apache.org/jira/browse/SPARK-4217
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 1.1.0
>         Environment: Hadoop 2.2.0
> Spark1.1
>            Reporter: peter.zhang
>            Priority: Critical
>         Attachments: TestScript.sql, saledata.zip
>
>
> I runed a test using same SQL script in SparkSQL, Shark and Hive 
> environment(Pure hive application rather than Spark HiveContext) as below
> ---------------------------------------------------------------
> select c.theyear, sum(b.amount)
> from tblstock a
> join tblStockDetail b on a.ordernumber = b.ordernumber
> join tbldate c on a.dateid = c.dateid
> group by c.theyear;
> result of hive/shark:
> theyear       _c1
> 2004  1403018
> 2005  5557850
> 2006  7203061
> 2007  11300432
> 2008  12109328
> 2009  5365447
> 2010  188944
> result of SparkSQL:
> 2010  210924
> 2004  3265696
> 2005  13247234
> 2006  13670416
> 2007  16711974
> 2008  14670698
> 2009  6322137



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