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Posted to issues@spark.apache.org by "Ankit Raj Boudh (Jira)" <ji...@apache.org> on 2019/12/10 04:42:00 UTC
[jira] [Comment Edited] (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=16992185#comment-16992185 ]
Ankit Raj Boudh edited comment on SPARK-30130 at 12/10/19 4:41 AM:
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hi Matt boegner, can you please help me to reproduce this issue
was (Author: ankitraj):
hi Matt boegner, can you please me to reproduce this issue
> 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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