Another approach I took is; https://github.com/vaexio/vaex-arrow-ext
But it uses pybind11, not cython. (from mobile phone) On Fri, 6 Nov 2020, 17:19 Vibhatha Abeykoon, <vibha...@gmail.com> wrote: > One more question about packaging, here when the API requires both Cython > and C++ APIs, > Pyarrow dependency must also be built from the source? Or is it practical > to use the same version > of Arrow using Pip? > > With Regards, > Vibhatha Abeykoon > > > On Fri, Nov 6, 2020 at 9:59 AM Vibhatha Abeykoon <vibha...@gmail.com> > wrote: > > > Hello Uwe, > > > > Nice example. I will follow this. > > > > With Regards, > > Vibhatha Abeykoon > > > > > > On Fri, Nov 6, 2020 at 9:36 AM Uwe L. Korn <uw...@xhochy.com> wrote: > > > >> Hello Vibhatha, > >> > >> the best is to set a relative RPATH on the libraries. An example for > this > >> can be seen in the turbodbc sources: > >> > https://github.com/blue-yonder/turbodbc/blob/80a29a7edfbdabf12410af01c0c0ae74bfc3aab4/setup.py#L186-L189 > >> > >> Cheers > >> Uwe > >> > >> On Tue, Nov 3, 2020, at 11:44 PM, Vibhatha Abeykoon wrote: > >> > Hello, > >> > > >> > I have a question related to packaging an API written by using both > C++ > >> API > >> > and Cython API of Arrow. > >> > > >> > For now what I do is, build Arrow from source to generate both > >> libarrow.so > >> > and libarrow_python.so. When using the library, I have to point the > >> > installed *.so using the LD_LIBRARY_PATH. But when packaging the > >> project, I > >> > am not quite sure whether this is the correct approach. For instance, > >> when > >> > generating a pip package, this workflow is not a good solution. > >> > > >> > Any comments and suggestions? > >> > > >> > With Regards, > >> > Vibhatha Abeykoon, > >> > > >> > > >
