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Posted to issues@spark.apache.org by "Robin (Jira)" <ji...@apache.org> on 2023/02/04 08:53:00 UTC
[jira] [Created] (SPARK-42346) distinct(count colname) with UNION ALL causes query analyzer bug
Robin created SPARK-42346:
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Summary: distinct(count colname) with UNION ALL causes query analyzer bug
Key: SPARK-42346
URL: https://issues.apache.org/jira/browse/SPARK-42346
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 3.3.1
Reporter: Robin
If you combine a UNION ALL with a count(distinct colname) you get a query analyzer bug.
This behaviour is introduced in 3.3.0. The bug was not present in 3.2.1.
Here is a reprex in PySpark:
{{df_pd = pd.DataFrame([}}
{{ \{'surname': 'a', 'first_name': 'b'}}}
{{])}}
{{df_spark = spark.createDataFrame(df_pd)}}
{{df_spark.createOrReplaceTempView("input_table")}}
{{sql = """}}
{{SELECT }}
{{ (SELECT Count(DISTINCT first_name) FROM input_table) }}
{{ AS distinct_value_count}}
{{FROM input_table}}
{{UNION ALL}}
{{SELECT }}
{{ (SELECT Count(DISTINCT surname) FROM input_table) }}
{{ AS distinct_value_count}}
{{FROM input_table """}}
{{spark.sql(sql).toPandas()}}
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