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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) 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:
-----------------------------
Component/s: 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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