hi Thomas -- can you reply on the JIRA (ARROW-6793) or start a new thread? Thanks
On Fri, Oct 4, 2019 at 4:53 PM Thomas S <thomas.schmel...@gmail.com> wrote: > > Very recently i had the pleasure to install arrow on Linux. At this stage > let me first remark that without the help of @xhochy and @kou I certainly > would have failed. I have now managed to install(? still quite a lot of > warning messages) in a rocker container. I have published the docker-image > here: > > https://hub.docker.com/r/tschm/rocker-arrow > > Maybe one of the experts could fix and/or improve it? Many thanks > > Thomas > > > > On Fri, 4 Oct 2019 at 20:07, Neal Richardson (Jira) <j...@apache.org> wrote: > > > Neal Richardson created ARROW-6793: > > -------------------------------------- > > > > Summary: [R] Arrow C++ binary packaging for Linux > > Key: ARROW-6793 > > URL: https://issues.apache.org/jira/browse/ARROW-6793 > > Project: Apache Arrow > > Issue Type: Improvement > > Components: R > > Reporter: Neal Richardson > > Assignee: Neal Richardson > > Fix For: 1.0.0 > > > > > > Our current installation experience on Linux isn't ideal. Unless you've > > already installed the Arrow C++ library, when you install the R package, > > you get a shell that tells you to install the C++ library. That was a > > useful approach to allow us to get the package on CRAN, which makes it easy > > for macOS and Windows users to install, but it doesn't improve the > > installation experience for Linux users. This is an impediment to adoption > > of arrow not only by users but also by package maintainers who might want > > to depend on arrow. > > > > macOS and Windows have a better experience because at installation time, > > the configure scripts download and statically link a prebuilt C++ library. > > CRAN bundles the whole thing up and delivers that as a binary R package. > > > > Python wheels do a similar thing: they're binaries that contain all > > external dependencies. And there are pyarrow wheels for Linux. This > > suggests that we could do something similar for R: build a generic Linux > > binary of the C++ library and download it in the R package configure script > > at install time. > > > > I experimented with using the Arrow C++ binaries included in the Python > > wheels in R. See discussion at the end of ARROW-5956. This worked on macOS > > (not useful for R, but it proved the concept) and almost worked on Linux, > > but it turned out that the "manylinux2010" standard is too archaic to work > > with contemporary Rcpp. > > > > Proposal: do a similar workflow to what the manylinux2010 pyarrow build > > does, just with slightly more modern compiler/settings. Publish that C++ > > binary package to bintray. Then download it in the R configure script if a > > local/system package isn't found. > > > > Once we have a basic version working, test against various distros on > > [R-hub|https://builder.r-hub.io/advanced] to make sure we're solid > > everywhere and/or ensure the current fallback behavior when we encounter a > > distro that this doesn't work for. If necessary, we can make multiple > > flavors of this C++ binary for debian, centos, etc. > > > > > > > > -- > > This message was sent by Atlassian Jira > > (v8.3.4#803005) > > > > > -- > Dr. Thomas Schmelzer > *post: *Rue Louis-de-Savoie 60, 1110 Morges, Switzerland > *mobile:* +41 786 928 942 > *skype: *thomas.schmelzer