Would it be possible to create some JIRA issues and/or documents (e.g.
a Google document) to enumerate the tasks required to enable R users
to install the package on each target platform? Based on the
information available on the Arrow mailing list, it isn't clear to me
at all where things stand. I
hi,
On Sun, Jan 6, 2019 at 11:13 AM Jeroen Ooms wrote:
>
> On Sun, Jan 6, 2019 at 5:39 PM Wes McKinney wrote:
> >
> > hi Jeroen,
> >
> > On Sun, Jan 6, 2019 at 10:28 AM Jeroen Ooms wrote:
> > >
> > > On 2019/01/02 17:08:58, Wes McKinney wrote:
> > > > hi folks,>
> > > >
> > > > With 0.12 aroun
On Sun, Jan 6, 2019 at 5:39 PM Wes McKinney wrote:
>
> hi Jeroen,
>
> On Sun, Jan 6, 2019 at 10:28 AM Jeroen Ooms wrote:
> >
> > On 2019/01/02 17:08:58, Wes McKinney wrote:
> > > hi folks,>
> > >
> > > With 0.12 around the corner and significant progress on the R bindings>
> > > project (suffici
hi Jeroen,
On Sun, Jan 6, 2019 at 10:28 AM Jeroen Ooms wrote:
>
> On 2019/01/02 17:08:58, Wes McKinney 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 user
On 2019/01/02 17:08:58, Wes McKinney 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
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 pl
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
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
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 wrote:
> hi folks,
>
> With 0.12 around the corner and si
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
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