[jira] [Commented] (SPARK-17296) Spark SQL: cross join + two joins = BUG

["Sean Owen (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-17296?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15446367#comment-15446367 ] 

Sean Owen commented on SPARK-17296:
-----------------------------------

Pardon if I'm missing something, but you are not joining T3 with T1, so I don't think you can use T1.col in the join condition right?

> Spark SQL: cross join + two joins = BUG
> ---------------------------------------
>
>                 Key: SPARK-17296
>                 URL: https://issues.apache.org/jira/browse/SPARK-17296
>             Project: Spark
>          Issue Type: Bug
>    Affects Versions: 2.0.0
>            Reporter: Furcy Pin
>
> In spark shell :
> {code}
> CREATE TABLE test (col INT) ;
> INSERT OVERWRITE TABLE test VALUES (1), (2) ;
> SELECT 
> COUNT(1)
> FROM test T1 
> CROSS JOIN test T2
> JOIN test T3
> ON T3.col = T1.col
> JOIN test T4
> ON T4.col = T1.col
> ;
> {code}
> returns :
> {code}
> Error in query: cannot resolve '`T1.col`' given input columns: [col, col]; line 6 pos 12
> {code}
> Apparently, this example is minimal (removing the CROSS or one of the JOIN causes no issue).



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