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Posted to issues@spark.apache.org by "Josh Rosen (JIRA)" <ji...@apache.org> on 2019/05/07 22:55:00 UTC
[jira] [Created] (SPARK-27653) Add max_by() / min_by() SQL
aggregate functions
Josh Rosen created SPARK-27653:
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Summary: 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
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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