[jira] [Resolved] (SPARK-27653) Add max_by() / min_by() SQL aggregate functions

["Wenchen Fan (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-27653?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Wenchen Fan resolved SPARK-27653.
---------------------------------
       Resolution: Fixed
    Fix Version/s: 3.0.0

Issue resolved by pull request 24557
[https://github.com/apache/spark/pull/24557]

> 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
>            Priority: Major
>             Fix For: 3.0.0
>
>
> 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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