I've not tried this - but numpy is a tricky and complex package with many dependencies on Fortran/C libraries etc. I'd say by the time you figure out correctly deploying numpy in this manner, you may as well have just built it into your cluster bootstrap process, or PSSH install it on each node...
On Fri, Jun 27, 2014 at 4:58 PM, Avishek Saha <avishek.s...@gmail.com> wrote: > To clarify I tried it and it almost worked -- but I am getting some > problems from the Random module in numpy. If anyone has successfully passed > a numpy module (via the --py-files option) to spark-submit then please let > me know. > > Thanks !! > Avishek > > > On 26 June 2014 17:45, Avishek Saha <avishek.s...@gmail.com> wrote: > >> Hi all, >> >> Instead of installing numpy in each worker node, is it possible to >> ship numpy (via --py-files option maybe) while invoking the >> spark-submit? >> >> Thanks, >> Avishek >> > >
