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From "Matt Boegner (Jira)" <j...@apache.org>
Subject [jira] [Created] (SPARK-30130) Hardcoded numeric values in common table expressions which utilize GROUP BY are interpreted as ordinal positions
Date Wed, 04 Dec 2019 17:53:00 GMT
Matt Boegner created SPARK-30130:
------------------------------------

             Summary: 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


Hardcoded numeric values in common table expressions which utilize GROUP BY are interpreted
as ordinal positions. 
val df = spark.sql("""
with a as (select 0 as test, count(*) group by test)
select * from a
""")
df.show()
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:
val df = spark.sql("""
select * from (select 0 as test, count(*) group by test) a
""")
df.show()
 



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