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https://issues.apache.org/jira/browse/ARROW-3204?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16747277#comment-16747277
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Jeroen commented on ARROW-3204:
-------------------------------

The Homebrew lead maintainer has dropped arrow from homebrew because it isn't 
building: 
https://github.com/Homebrew/homebrew-core/commit/6cd7f61d2d07d5fd9f8747ea0f620169cc8a2434
 . So this further complicates things for R bindings on MacOS.

I am guessing that the build broke because the 0.11 tarball has been removed 
from the apache website, even though 0.12 hasn't even been announced yet? 
[https://www.apache.org/dist/arrow/]

 

> [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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