[jira] [Assigned] (SPARK-30681) Add higher order functions API to PySpark

["Hyukjin Kwon (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-30681?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon reassigned SPARK-30681:
------------------------------------

    Assignee: Maciej Szymkiewicz

> Add higher order functions API to PySpark
> -----------------------------------------
>
>                 Key: SPARK-30681
>                 URL: https://issues.apache.org/jira/browse/SPARK-30681
>             Project: Spark
>          Issue Type: Improvement
>          Components: PySpark, SQL
>    Affects Versions: 3.0.0
>            Reporter: Maciej Szymkiewicz
>            Assignee: Maciej Szymkiewicz
>            Priority: Major
>
> As of 3.0.0 higher order functions are available in SQL and Scala, but not in PySpark, forcing Python users to invoke these through {{expr}}, {{selectExpr}} or {{sql}}.
> This is error prone and not well documented. Spark should provide {{pyspark.sql}} wrappers that accept plain Python functions (of course within limits of {{(*Column) -> Column}}) as arguments.
> {code:python}
> df.select(transform("values", lambda c: trim(upper(c)))
> def  increment_values(k: Column, v: Column) -> Column:
>     return v + 1
> df.select(transform_values("data"), increment_values)
> {code}



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