Matt Boegner created SPARK-30130:
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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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