Robin created SPARK-42346: ----------------------------- 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()}} -- This message was sent by Atlassian Jira (v8.20.10#820010) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org