I suppose along those lines, there's also Anaconda:
https://store.continuum.io/cshop/anaconda/
On 6/27/14, 11:13 AM, Nick Pentreath wrote:
Hadoopy uses http://www.pyinstaller.org/ to package things up into an
executable that should be runnable without root privileges. It says it
support numpy
On Fri, Jun 27, 2014 at 5:08 PM, Shannon Quinn <squ...@gatech.edu
<mailto:squ...@gatech.edu>> wrote:
Would deploying virtualenv on each directory on the cluster be
viable? The dependencies would get tricky but I think this is the
sort of situation it's built for.
On 6/27/14, 11:06 AM, Avishek Saha wrote:
I too felt the same Nick but I don't have root privileges on the
cluster, unfortunately. Are there any alternatives?
On 27 June 2014 08:04, Nick Pentreath <nick.pentre...@gmail.com
<mailto:nick.pentre...@gmail.com>> wrote:
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 <mailto: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 <mailto: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
