Navkirat Singh wrote:
On 04-Aug-2010, at 9:46 AM, Daniel da Silva wrote:
Please post approximate code that actually works and displays the
problem.
On Tue, Aug 3, 2010 at 9:00 PM, Navkirat Singh <navkir...@gmail.com
<mailto:navkir...@gmail.com>> wrote:
Hey guys,
I am using a multiprocessing program, where the new process is
supposed to change a variable in the main class that it branches
out from. This is somehow not working, following is an
approximate code. Would really appreciate any insight into this
matter:
var = {}
class Something():
def set_var(self):
global var
var = somevalue
def get_var(self):
return var
def newprocess(self):
self.set_var()
def do_multiprocessing(self):
while true:
self.get_var()
new_process = process(target=newprocess)
new_process.start()
I am really confused here !
Any help would be awesome : )
Regards,
Nav
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This is a working code, streamlined, but it is where the problem is:
from multiprocessing import *
dicts = 0
print('global ', dicts)
class WebServer():
def set_sessionInfo(self):
global dicts
dicts = dicts + 1
def get_sessionInfo(self):
return dicts
def handle_connection(self):
self.set_sessionInfo()
def serve_forever(self):
for x in range(10):
p = Process(target=self.handle_connection)
p.start()
print(self.get_sessionInfo())
ws = WebServer()
ws.serve_forever()
print(dicts)
"As mentioned above, when doing concurrent programming it is usually
best to avoid using shared state as far as possible. This is
particularly true when using multiple processes.
However, if you really do need to use some shared data then
multiprocessing provides a couple of ways of doing so."
source :
http://docs.python.org/library/multiprocessing.html
Read it, everything is explained with examples, including how to
properly solve your problem.
"When using multiple processes, one generally uses message passing for
communication between processes and avoids having to use any
synchronization primitives like locks."
JM
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