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https://issues.apache.org/jira/browse/ARROW-16213?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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David Li updated ARROW-16213:
-----------------------------
    Summary: [C++][Python] Generate scalar-argument kernel based on 
array-argument kernel for UDFs  (was: [C++][Python] Array-Scalar Kernel Usage 
Improvement)

> [C++][Python] Generate scalar-argument kernel based on array-argument kernel 
> for UDFs
> -------------------------------------------------------------------------------------
>
>                 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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