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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}
>  



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