[jira] [Comment Edited] (ARROW-3204) [R] Release to CRAN

["Wes McKinney (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/ARROW-3204?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16747309#comment-16747309 ] 

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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