[Python-Dev] Cloning threading.py using proccesses

Simon Wittber simonwittber at gmail.com
Thu Oct 12 02:31:19 CEST 2006

On 10/12/06, Josiah Carlson <jcarlson at uci.edu> wrote:
> It would basically be something along the lines of cPickle, but would
> only support the basic types of: int, long, float, str, unicode, tuple,
> list, dictionary.

Great idea! Check this thread for past efforts:


The 'gherkin' module discussed there now lives in the cheeseshop as
part of the FibraNet package.


I love benchmarks, especially when they come around for the second time.

I wrote a silly script which compares dumps performance between
different serialization modules for different simple objects using
Python 2.4.3. All figures are 'dumps per second'.

test: a tuple: ("a" * 1024,1.0,[1,2,3],{'1':2,'3':4})

gherkin: 10895.7762314
pickle: 6510.97245984
cPickle: 34218.5455317
marshal: 85562.2443672
xmlrpclib: 9468.0766772

test: a large string: 'a' * 10240

gherkin:  45955.4065455
pickle:     10209.0239868
cPickle:   13773.8138516
marshal: 24937.002069
xmlrpclib: Traceback

test: a small string: 'a' * 128

gherkin: 73453.0960495
pickle: 28357.0210654
cPickle: 122997.592425
marshal: 202428.776201
xmlrpclib: Traceback

test: a tupe of ints: tuple(range(64))
gherkin: 4522.06801154
pickle: 2273.12937965
cPickle: 23969.9306043
marshal: 143691.72582
xmlrpclib: 2781.3083894

Marshal is very quick for most cases, but still has this warning in
the documentation.

"""Warning: The marshal module is not intended to be secure against
erroneous or maliciously constructed data. Never unmarshal data
received from an untrusted or unauthenticated source."""


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