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https://issues.apache.org/jira/browse/SPARK-34165?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17268356#comment-17268356
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Apache Spark commented on SPARK-34165:
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User 'MrPowers' has created a pull request for this issue:
https://github.com/apache/spark/pull/31254
> Add countDistinct option to Dataset#summary
> -------------------------------------------
>
> Key: SPARK-34165
> URL: https://issues.apache.org/jira/browse/SPARK-34165
> Project: Spark
> Issue Type: New Feature
> Components: SQL
> Affects Versions: 3.2.0
> Reporter: Matthew Powers
> Priority: Minor
>
> The Dataset#summary function supports options like count, mean, min, and max.
> It's a great little function for lightweight exploratory data analysis.
> A count distinct of each column is a common exploratory data analysis
> workflow. This should be easy to add (piggybacking off the existing
> countDistinct code), entirely backwards compatible, and will help a lot of
> users.
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