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https://issues.apache.org/jira/browse/ARROW-47?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16719136#comment-16719136
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Wes McKinney commented on ARROW-47:
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I do not think these objects should be used on computation hot paths at all
(like joins or hash aggregations); since such code is vector-oriented in
general it will require more specialization
> [C++] Consider adding a scalar type object model
> ------------------------------------------------
>
> Key: ARROW-47
> URL: https://issues.apache.org/jira/browse/ARROW-47
> Project: Apache Arrow
> Issue Type: New Feature
> Components: C++
> Reporter: Wes McKinney
> Assignee: Uwe L. Korn
> Priority: Major
> Labels: Analytics
> Fix For: 0.13.0
>
>
> Just did this on the Python side. In later analytics routines, passing in
> scalar values (example: Array + Scalar) requires some kind of container. Some
> systems, like the R language, solve this problem with length-1 arrays, but we
> should do some analysis of use cases and figure out what will work best for
> Arrow.
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