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https://issues.apache.org/jira/browse/SPARK-41391?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17691928#comment-17691928
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Ritika Maheshwari commented on SPARK-41391:
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I did send a PR
> The output column name of `groupBy.agg(count_distinct)` is incorrect
> --------------------------------------------------------------------
>
> Key: SPARK-41391
> URL: https://issues.apache.org/jira/browse/SPARK-41391
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 3.2.0, 3.3.0, 3.4.0
> Reporter: Ruifeng Zheng
> Priority: Major
>
> scala> val df = spark.range(1, 10).withColumn("value", lit(1))
> df: org.apache.spark.sql.DataFrame = [id: bigint, value: int]
> scala> df.createOrReplaceTempView("table")
> scala> df.groupBy("id").agg(count_distinct($"value"))
> res1: org.apache.spark.sql.DataFrame = [id: bigint, count(value): bigint]
> scala> spark.sql(" SELECT id, COUNT(DISTINCT value) FROM table GROUP BY id ")
> res2: org.apache.spark.sql.DataFrame = [id: bigint, count(DISTINCT value):
> bigint]
> scala> df.groupBy("id").agg(count_distinct($"*"))
> res3: org.apache.spark.sql.DataFrame = [id: bigint, count(unresolvedstar()):
> bigint]
> scala> spark.sql(" SELECT id, COUNT(DISTINCT *) FROM table GROUP BY id ")
> res4: org.apache.spark.sql.DataFrame = [id: bigint, count(DISTINCT id,
> value): bigint]
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