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https://issues.apache.org/jira/browse/ARROW-3204?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16747309#comment-16747309
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Wes McKinney edited comment on ARROW-3204 at 1/20/19 1:49 AM:
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AFAIK no one from this community has been maintaining the Homebrew recipe. So
that will obviously have to change so that updating the Homebrew recipe is part
of the release management process. No one did anything wrong here
I'm creating a sub-task about Homebrew and attaching it as a child of this issue
EDIT: opened ARROW-4300
was (Author: wesmckinn):
AFAIK no one from this community has been maintaining the Homebrew recipe. So
that will obviously have to change so that updating the Homebrew recipe is part
of the release management process. No one did anything wrong here
I'm creating a sub-task about Homebrew and attaching it as a child of this issue
> [R] Release to CRAN
> -------------------
>
> Key: ARROW-3204
> URL: https://issues.apache.org/jira/browse/ARROW-3204
> Project: Apache Arrow
> Issue Type: New Feature
> Components: R
> Reporter: James Lamb
> Priority: Major
>
> As of [ARROW-1325|https://issues.apache.org/jira/browse/ARROW-1325], the
> project contains a minimal working R package that takes advantage of R's
> built-in support for calling C++ code and uses Rcpp for added support.
> Though the exact public interface of the package hasn't been developed yet
> (so this issue may be running before we walk), one major feature in its
> development will be release to [CRAN|https://cran.r-project.org/], the
> official package repository for the R language.
> Completing this story would mean:
> * Getting source code to state where [R CMD
> CHECK|https://www.r-bloggers.com/how-i-learned-to-stop-worrying-and-love-r-cmd-check/]
> passes with 0 ERRORS, 0 WARNINGS, and 0 NOTES
> * Setting up build process for source and precompiled binary packages (see
> [data.table|https://github.com/Rdatatable/data.table] and
> [XGBoost|https://github.com/dmlc/xgboost] as examples of packages that do
> this)
> * Submission to CRAN and acceptance of the first release
>
> Distribution via CRAN would be a much more natural fit for most R users'
> workflows than the current build-from-source workflow, and comes with all the
> other benefits of package managers (e.g. version pegging, easy distribution
> of platform-specific binaries).
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