[jira] [Commented] (ARROW-1846) [C++] Implement "any" reduction kernel for boolean data

[Wes McKinney (Jira)]

[ 
https://issues.apache.org/jira/browse/ARROW-1846?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17116060#comment-17116060
 ] 

Wes McKinney commented on ARROW-1846:
-

With fresh eyes and ARROW-8792 in the rear view mirror, I believe Any should be 
implemented as a ScalarAggregateFunction, with some way for agg functions to 
communicate that they have short-circuited to the KernelContext

> [C++] Implement "any" reduction kernel for boolean data
> ---
>
> Key: ARROW-1846
> URL: https://issues.apache.org/jira/browse/ARROW-1846
> Project: Apache Arrow
>  Issue Type: New Feature
>  Components: C++
>Reporter: Wes McKinney
>Priority: Major
>  Labels: analytics, dataframe
>




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[jira] [Commented] (ARROW-1846) [C++] Implement "any" reduction kernel for boolean data, with the ability to short circuit when applying on chunked data

[Wes McKinney (JIRA)]

[ 
https://issues.apache.org/jira/browse/ARROW-1846?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16846883#comment-16846883
 ] 

Wes McKinney commented on ARROW-1846:
-

I think the chunked array short-circuiting should be a dataframe-level 
optimization

> [C++] Implement "any" reduction kernel for boolean data, with the ability to 
> short circuit when applying on chunked data
> 
>
> Key: ARROW-1846
> URL: https://issues.apache.org/jira/browse/ARROW-1846
> Project: Apache Arrow
>  Issue Type: New Feature
>  Components: C++
>Reporter: Wes McKinney
>Priority: Major
>  Labels: analytics, dataframe
> Fix For: 0.14.0
>
>




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