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Posted to jira@arrow.apache.org by "David Li (Jira)" <ji...@apache.org> on 2022/04/18 11:52:00 UTC

[jira] [Updated] (ARROW-16213) [C++][Python] Array-Scalar Kernel Usage Improvement

     [ https://issues.apache.org/jira/browse/ARROW-16213?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

David Li updated ARROW-16213:
-----------------------------
    Summary: [C++][Python] Array-Scalar Kernel Usage Improvement  (was: Array-Scalar Kernel Usage Improvement)

> [C++][Python] Array-Scalar Kernel Usage Improvement
> ---------------------------------------------------
>
>                 Key: ARROW-16213
>                 URL: https://issues.apache.org/jira/browse/ARROW-16213
>             Project: Apache Arrow
>          Issue Type: Sub-task
>          Components: C++, Python
>            Reporter: Vibhatha Lakmal Abeykoon
>            Assignee: Vibhatha Lakmal Abeykoon
>            Priority: Major
>
> When defining UDFs the ability to use a function on both scalar and array with a single function definition is important. Here using a function just written for array-like inputs on scalars is a vital component when providing better support. Further more, UDFs need to be consistent with the pre-registered functions in the function registry. Considering both usability and consistency, it is important to support this feature. 
> This requirement was a part of discussion in Scalar UDF integration PR[1]. 
>  
> References:
>  
> [1]. https://github.com/apache/arrow/pull/12590#issuecomment-1089426784



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