On Thu, Jan 15, 2009 at 11:11 AM, Sibtey Mehdi <sibt...@infotechsw.com> wrote: > I am trying to implement the multiprocessing in my application to take > advantage of multiple cores. I have created two > > Separate process something like this. > > que = Queue > > Process(target = geDataFromMdbFile, args=(que , section, MdbFile,)).start() > #2 times > > > > In geDataFromMdbFile function I create the object and add in to queue > (que.put (object)). > > After that I fetch the object using que.get () and use in my application. > but it takes more time
Since this is a new module I don't think many people here will be able to help you out. Like, I was just reading the module documentation and trying out some sample code when I saw your email... The multiprocessing module provides a bunch of features like Queue, Pool, worker processes, shared memory etc. But, it is not very clear which feature to select for a particular class of problem. The module documentation does not help much in this. Btw, here is a presentation from Jesse Noller on multiprocessing. I think it might be useful. http://jessenoller.com/code/pyworks.pdf This is question for c.l.py. Post your code there. > > To get the data. > > Any one can help me out this problem. > > > > > > Thanks, > > Sibtey Mehdi > > > > _______________________________________________ > BangPypers mailing list > BangPypers@python.org > http://mail.python.org/mailman/listinfo/bangpypers > > Regards, -- -Anand _______________________________________________ BangPypers mailing list BangPypers@python.org http://mail.python.org/mailman/listinfo/bangpypers
