Daniel Svensson added the comment:
Yes, but this ticket was only opened due to time delta between no-gc and gc,
not as much absolute time, but that's a nice improvement.
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Python tracker
<http://bugs.python.org/is
Changes by Daniel Svensson :
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versions: -Python 2.7, Python 3.1, Python 3.2, Python 3.3, Python 3.4
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Python tracker
<http://bugs.python.org/issue12
Daniel Svensson added the comment:
using: (except in python2.5 case where simplejson is used, which ought to be
the same thing right?)
import time, gc, json, sys
def read_json_blob():
t0 = time.time()
fd = open("datatest1.json")
data = fd.read()
Daniel Svensson added the comment:
Working on getting a reasonable large file to test with on my laptop where I
have 2.6, 2.7, 3.2. The Python version where the problem became apparent was
2.5.2 as the software is deployed on Debian Lenny
Daniel Svensson added the comment:
"Or you could disable the GC only when decoding JSON data and reenable it
afterwards."
JSON was just an example, and disabling/enabling the GC is not safe in a
multithreaded environment?
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Pyth
Daniel Svensson added the comment:
The bug note contains a test script. You just have to generate a huge
JSON-blob, or allocate 1 GB or so and pickle it down to file and replace the
cjson.decode to pickle.loads, pickle is about 20 times faster without GC
New submission from Daniel Svensson :
I've noticed problems with the GC in two applications. In one case the
application did not respond to SOAP-requests for 9 seconds, every couple of
minutes, when it really shouldn't have taken more than 20ms. In another case we
had one operatio
Daniel Svensson added the comment:
Ehm.. completly broken url in prev message.. Revision 65016, "Apply
Amaury's patch to multiprocessing for issue 3125, removes the copy_reg
and replaces it with ForkingPickler.register(), which should resolve the
conflict with the global registry/
Daniel Svensson added the comment:
When reverting this commit stuff works:
http://svn.python.org/view/python/trunk/Lib/multiprocessing/reduction.py?r1=64257&r2=65016
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Python tracker
<http://bugs.python.org/is
Daniel Svensson added the comment:
And to be clear, I have enabled connection pickling by issuing:
multiprocessing.allow_connection_pickling()
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Python tracker
<http://bugs.python.org/issue4
Daniel Svensson added the comment:
A typical use case would be for a server to receive a connection, and
then send that connection over to another process that does the actual
work. This used to work with pyprocessing, and the support seems to be
available in multiprocessing.c
New submission from Daniel Svensson :
The documentation for inet_aton specifically says that it's used to
"Convert an IPv4 address from dotted-quad string format". This however
is not really true, it does accept dotted-quad, but not dotted-quad
alone, but also these forms from i
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