spark-issues mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "Hyukjin Kwon (Jira)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-29667) implicitly convert mismatched datatypes on right side of "IN" operator
Date Wed, 04 Dec 2019 02:25:00 GMT

    [ https://issues.apache.org/jira/browse/SPARK-29667?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16987440#comment-16987440
] 

Hyukjin Kwon commented on SPARK-29667:
--------------------------------------

I think this issue is a duplicate of SPARK-29860. [The PR against SPARK-29860|https://github.com/apache/spark/pull/26485]
fixes this issue.
There are also related JIRAs and PRs such as [SPARK-25056|https://github.com/apache/spark/pull/22038]
and [SPARK-22413|https://github.com/apache/spark/pull/19635].

Seems like we should better actively review than just leaving them indefinitely. CC [~yumwang],
[~mgaido], [~smilegator], [~cloud_fan].

> implicitly convert mismatched datatypes on right side of "IN" operator
> ----------------------------------------------------------------------
>
>                 Key: SPARK-29667
>                 URL: https://issues.apache.org/jira/browse/SPARK-29667
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 2.4.3
>            Reporter: Jessie Lin
>            Priority: Minor
>
> Ran into error on this sql
> Mismatched columns:
> {code}
> [(a.`id`:decimal(28,0), db1.table1.`id`:decimal(18,0))] 
> {code}
> the sql and clause
> {code}
>       AND   a.id in (select id from db1.table1 where col1 = 1 group by id)
> {code}
> Once I cast {{decimal(18,0)}} to {{decimal(28,0)}} explicitly above, the sql ran just
fine. Can the sql engine cast implicitly in this case?
>  
>  
>  
>  



--
This message was sent by Atlassian Jira
(v8.3.4#803005)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org


Mime
View raw message