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