[
https://issues.apache.org/jira/browse/SPARK-4217?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14198347#comment-14198347
]
peter.zhang commented on SPARK-4217:
------------------------------------
Thanks for attention and discussion,
I worked out this issue at last. It's a small bug for hive(before version 0.11)
There are a lot of float value in table tblStockDetail for sum column amount.
But I define this column using INT type, which makes hive maps these floats to
NULL. That's all.
Also my mistake. Thanks you guys again
> 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
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
