Github user shaneknapp commented on the pull request:
https://github.com/apache/spark/pull/3668#issuecomment-66677019
would you guys be adverse to me upping the numpy version on the workers?
currently, we're running numpy-1.4.1-9.el6.x86_64, which is ancient compared
to the L&G release (1.9.1).
anyone know of any backwards-compatibility issues offhand? in the
meanwhile, i will set up one of our staging nodes and start testing.
i'd rather not to a system-wide update during a release cycle if at all
possible... but if i have to do this, i will bring up some new jenkins workers
(which i was going to do during tomorrow morning's maintanence anyways) w/an
updated numpy specifically for these buids.
since i'm not too familiar w/the codebase, i'll leave that part to you guys
for now. :)
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