[
https://issues.apache.org/jira/browse/SPARK-29667?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16987119#comment-16987119
]
Aman Omer commented on SPARK-29667:
-----------------------------------
Hi [~jessielin], did you observed same issue with any other data type?
{code:java}
SELECT * FROM (VALUES (1.0), (2.0) AS t1(col1))
WHERE col1 IN
(SELECT * FROM (VALUES (1.0), (2.0), (3.00) AS t2(col2)));
{code}
Above query will fail with following error
{noformat}
Mismatched columns:
[(__auto_generated_subquery_name.`col1`:decimal(2,1),
__auto_generated_subquery_name.`col2`:decimal(3,2))]
Left side:
[decimal(2,1)].
Right side:
[decimal(3,2)].
{noformat}
Since, `3.00` in subquery will upcast all element in column to decimal(3,2).
> 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:
> [(a.`id`:decimal(28,0), db1.table1.`id`:decimal(18,0))]
> the sql and clause
> AND a.id in (select id from db1.table1 where col1 = 1 group by id)
> 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-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
