You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Adrian Wang (Jira)" <ji...@apache.org> on 2021/05/16 15:09:00 UTC
[jira] [Commented] (SPARK-30130) Hardcoded numeric values in common
table expressions which utilize GROUP BY are interpreted as ordinal
positions
[ https://issues.apache.org/jira/browse/SPARK-30130?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17345730#comment-17345730 ]
Adrian Wang commented on SPARK-30130:
-------------------------------------
I also met this on 2.4.7, and this has been fix on master/3.1.
> Hardcoded numeric values in common table expressions which utilize GROUP BY are interpreted as ordinal positions
> ----------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-30130
> URL: https://issues.apache.org/jira/browse/SPARK-30130
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.4.4
> Reporter: Matt Boegner
> Priority: Minor
>
> Hardcoded numeric values in common table expressions which utilize GROUP BY are interpreted as ordinal positions.
> {code:java}
> val df = spark.sql("""
> with a as (select 0 as test, count(*) group by test)
> select * from a
> """)
> df.show(){code}
> This results in an error message like {color:#e01e5a}GROUP BY position 0 is not in select list (valid range is [1, 2]){color} .
>
> However, this error does not appear in a traditional subselect format. For example, this query executes correctly:
> {code:java}
> val df = spark.sql("""
> select * from (select 0 as test, count(*) group by test) a
> """)
> df.show(){code}
>
--
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