To have non-trivial R use, we have to get install.package working, which I think means integration with CRAN. There are a lot of logistical issues around build and packaging on each platform. It would be great to have a written summary of the best practices for each platform for getting bindings plus non-trivial C++ libraries installed on each platform.
Additionally, it would be great to have source build instructions for each platform to help grow the developer community. On Thu, Jan 3, 2019, 10:02 AM Uwe L. Korn <uw...@xhochy.com wrote: > We probably need to support both, conda-forge and CRAN. As a first shot, > conda-forge will be much easier to setup as we should have a better build > toolchain available there and this could also then be used in the > multilanguage scenario demos really well. From my experience, the usage of > conda in the R world seems to be very small, so to get a user base, we will > need to invest in CRAN. > > TL;DR: We should start with conda-forge. > > Uwe > > On Thu, Jan 3, 2019, at 10:02 AM, Jonathan Chiang wrote: > > > > Hi, > > > > Long term, I believe getting an arrow package onto cran would be most > > useful for R users. Building arrow in R on Mac was easier than Linux for > > me. I was still having trouble installing after spending a couple hours > > or so. > > > > Typically if you can install.package from cran is most convenient. > > Devtools installation from a github repository if it works across > > different OSes would suffice. > > > > Most growing R users are typically using RStudio, so conda may be > > inconvenient for R users, because it requires installing IR kernel for > > anaconda. > > > > Whatever installation method or strategy you used for feather was easy > > for me to install as a R user. > > > > Thanks, > > Jonathan > > > > > On Jan 2, 2019, at 11:59 PM, Krisztián Szűcs < > szucs.kriszt...@gmail.com> wrote: > > > > > > Perhaps an R conda-forge feedstock? > > > I'm not sure how widely conda-forge is used in the R commmunity, > > > but it already hosts around a thousand packages[1]. > > > > > > [1] https://github.com/conda-forge?&q=r- > > > > > >> On Wed, Jan 2, 2019 at 6:09 PM Wes McKinney <wesmck...@gmail.com> > wrote: > > >> > > >> hi folks, > > >> > > >> With 0.12 around the corner and significant progress on the R bindings > > >> project (sufficient for Spark integration [1]), I am wondering how > > >> everyday R users are going to be able to install the software > > >> respectively on Linux, macOS, and Windows. Thoughts about the strategy > > >> for this? > > >> > > >> Thanks > > >> Wes > > >> > > >> [1]: https://github.com/apache/arrow/pull/3001 > > >> >
