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https://issues.apache.org/jira/browse/SPARK-30130?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17004824#comment-17004824
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Ankit Raj Boudh commented on SPARK-30130:
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[~hyukjin.kwon], please confirm, it's require to fix ? then i will start
working on this jira.
> 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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