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https://issues.apache.org/jira/browse/ARROW-16213?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17585491#comment-17585491
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Todd Farmer edited comment on ARROW-16213 at 8/26/22 4:13 PM:
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This issue was last updated over 90 days ago, which may be an indication it is
no longer being actively worked. To better reflect the current state, the issue
is being unassigned per [project
policy|https://arrow.apache.org/docs/dev/developers/bug_reports.html#issue-assignment].
Please feel free to re-take assignment of the issue if it is being actively
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was (Author: JIRAUSER288796):
This issue was last updated over 90 days ago, which may be an indication it is
no longer being actively worked. To better reflect the current state, the issue
is being unassigned per [project
policy|https://arrow.apache.org/docs/dev/developers/bug_reports.html#issue-assignment.
Please feel free to re-take assignment of the issue if it is being actively
worked, or if you plan to start that work soon.
> [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
> 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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