[
https://issues.apache.org/jira/browse/ARROW-12813?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17346337#comment-17346337
]
Weston Pace commented on ARROW-12813:
-------------------------------------
I think it comes up often enough in cases where there is a default value for a
column. For example, if you are reading into datasets from two different
sources that are similar but not quite the same and you want to unify them.
I should also mention that, if you are reading in data as a dataset scan, you
can achieve this with projection (project a name to a scalar and the scalar
will be broadcast).
> [C++] Support for a `full` compute function
> -------------------------------------------
>
> Key: ARROW-12813
> URL: https://issues.apache.org/jira/browse/ARROW-12813
> Project: Apache Arrow
> Issue Type: Improvement
> Components: C++
> Reporter: Weston Pace
> Priority: Major
>
> Given a scalar value and a length return an array where all values are equal
> to the scalar value.
> The name "full" is derived from
> [https://numpy.org/doc/stable/reference/generated/numpy.full.html] but if
> anyone has a more clever name please recommend it.
> There are a number of utility functions in C++ that do this already.
> However, exposing this as a compute function would allow R/Python to easily
> generate arrays.
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
