[jira] [Resolved] (SPARK-33196) Expose filtered aggregation API

["Erwan Guyomarc'h (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-33196?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Erwan Guyomarc'h resolved SPARK-33196.
--------------------------------------
    Resolution: Won't Do

> Expose filtered aggregation API
> -------------------------------
>
>                 Key: SPARK-33196
>                 URL: https://issues.apache.org/jira/browse/SPARK-33196
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 3.0.0
>            Reporter: Erwan Guyomarc'h
>            Priority: Minor
>
> Spark currently supports filtered aggregation but does not expose API allowing to use them when using the `spark.sql.functions` package.
> It is possible to use them when writing directly SQL:
> {code:scala}
> scala> val df = spark.range(100)
> scala> df.registerTempTable("df")
> scala> spark.sql("select count(1) as classic_cnt, count(1) FILTER (WHERE id < 50) from df").show()
> +-----------+-------------------------------------------------+ 
> |classic_cnt|count(1) FILTER (WHERE (id < CAST(50 AS BIGINT)))|
> +-----------+-------------------------------------------------+
> |        100|                                               50|
> +-----------+-------------------------------------------------+{code}
> These aggregations are especially useful when filtering on overlapping datasets (where a pivot would not work):
> {code:sql}
> SELECT 
>  AVG(revenue) FILTER (WHERE age < 25),
>  AVG(revenue) FILTER (WHERE age < 35),
>  AVG(revenue) FILTER (WHERE age < 45)
> FROM people;{code}
> I did not find an issue tracking this, hence I am creating this one and I will join a PR to illustrate a possible implementation.



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