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Posted to issues@spark.apache.org by "Yuming Wang (Jira)" <ji...@apache.org> on 2023/02/06 13:30:00 UTC
[jira] [Resolved] (SPARK-42346) distinct(count colname) with UNION ALL causes query analyzer bug
[ https://issues.apache.org/jira/browse/SPARK-42346?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Yuming Wang resolved SPARK-42346.
---------------------------------
Fix Version/s: 3.3.2
3.4.0
3.5.0
Assignee: Peter Toth
Resolution: Fixed
Issue resolved by pull request 39887
[https://github.com/apache/spark/pull/39887]
> 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: 3.3.0, 3.4.0, 3.5.0
> Reporter: Robin
> Assignee: Peter Toth
> Priority: Major
> Fix For: 3.3.2, 3.4.0, 3.5.0
>
>
> 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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