You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Dongjoon Hyun (Jira)" <ji...@apache.org> on 2022/01/06 19:29:00 UTC

[jira] [Resolved] (SPARK-37601) Could/should sql.DataFrame.transform accept function parameters?

     [ https://issues.apache.org/jira/browse/SPARK-37601?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Dongjoon Hyun resolved SPARK-37601.
-----------------------------------
    Resolution: Incomplete

> Could/should sql.DataFrame.transform accept function parameters?
> ----------------------------------------------------------------
>
>                 Key: SPARK-37601
>                 URL: https://issues.apache.org/jira/browse/SPARK-37601
>             Project: Spark
>          Issue Type: Improvement
>          Components: PySpark
>    Affects Versions: 3.3.0
>            Reporter: Rafal Wojdyla
>            Priority: Major
>
> {code:python}
> def foo(df: DataFrame, p: int) -> DataFrame
>   ...
> # current:
> from functools import partial
> df.transform(partial(foo, p=3))
> # or:
> df.transform(lambda df: foo(df, p=3))
> # vs suggested:
> df.transform(foo, p=3)
> {code}



--
This message was sent by Atlassian Jira
(v8.20.1#820001)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org