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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2019/05/09 05:17:00 UTC
[jira] [Assigned] (SPARK-27653) Add max_by() / min_by() SQL
aggregate functions
[ https://issues.apache.org/jira/browse/SPARK-27653?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-27653:
------------------------------------
Assignee: Apache Spark
> Add max_by() / min_by() SQL aggregate functions
> -----------------------------------------------
>
> Key: SPARK-27653
> URL: https://issues.apache.org/jira/browse/SPARK-27653
> Project: Spark
> Issue Type: New Feature
> Components: SQL
> Affects Versions: 3.0.0
> Reporter: Josh Rosen
> Assignee: Apache Spark
> Priority: Major
>
> It would be useful if Spark SQL supported the {{max_by()}} SQL aggregate function. Quoting from the [Presto docs|https://prestodb.github.io/docs/current/functions/aggregate.html#max_by]:
> {quote}max_by(x, y) → [same as x]
> Returns the value of x associated with the maximum value of y over all input values.
> {quote}
> {{min_by}} works similarly.
> Technically I can emulate this behavior using window functions but the resulting syntax is much more verbose and non-intuitive compared to {{max_by}} / {{min_by}}.
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