I saw the bug fix. I am using the latest Spark available on AWS EMR which I think is 2.01. I am at work and can't check my home config. I don't think AWS merged in this fix.
Henry On Tue, Apr 4, 2017 at 4:42 PM, Jeff Zhang <zjf...@gmail.com> wrote: > > It is fixed in https://issues.apache.org/jira/browse/SPARK-13330 > > > > Holden Karau <hol...@pigscanfly.ca>于2017年4月5日周三 上午12:03写道： > >> Which version of Spark is this (or is it a dev build)? We've recently >> made some improvements with PYTHONHASHSEED propagation. >> >> On Tue, Apr 4, 2017 at 7:49 AM Eike von Seggern <eike.seggern@seven >> cal.com> wrote: >> >> 2017-04-01 21:54 GMT+02:00 Paul Tremblay <paulhtremb...@gmail.com>: >> >> When I try to to do a groupByKey() in my spark environment, I get the >> error described here: >> >> http://stackoverflow.com/questions/36798833/what-does- >> exception-randomness-of-hash-of-string-should-be-disabled-via-pythonh >> >> In order to attempt to fix the problem, I set up my ipython environment >> with the additional line: >> >> PYTHONHASHSEED=1 >> >> When I fire up my ipython shell, and do: >> >> In [7]: hash("foo") >> Out[7]: -2457967226571033580 >> >> In [8]: hash("foo") >> Out[8]: -2457967226571033580 >> >> So my hash function is now seeded so it returns consistent values. But >> when I do a groupByKey(), I get the same error: >> >> >> Exception: Randomness of hash of string should be disabled via >> PYTHONHASHSEED >> >> Anyone know how to fix this problem in python 3.4? >> >> >> Independent of the python version, you have to ensure that Python on >> spark-master and -workers is started with PYTHONHASHSEED set, e.g. by >> adding it to the environment of the spark processes. >> >> Best >> >> Eike >> >> -- >> Cell : 425-233-8271 <(425)%20233-8271> >> Twitter: https://twitter.com/holdenkarau >> > -- Paul Henry Tremblay Robert Half Technology
