pool

I'm using multiprocessing , and specifically a Pool to spin off a couple of 'threads' to do a bunch of slow jobs that I have. However, for some reason, I can't get the main thread to rejoin, even though all of the children appear to have died. Resolved: It appears the answer to this question is to just launch multiple Process objects, rather than using a Pool . It's not abundantly clear why, but I suspect the remaining process is a manager for the pool and it's not dying when the processes finish. If anyone else has this problem, this is the answer. Main Thread pool = Pool(processes=12

So I'm trying to speed up my computation time by doing a little bit multiprocessing I'm trying to use the pool workers. At the top of my code I have import Singal as s import multiprocessing as mp def wrapper(Channel): Noise_Frequincies = [] for i in range(1,125): Noise_Frequincies.append(60.0*float(i)) Noise_Frequincies.append(180.0) filter1 = s.Noise_Reduction(Sample_Rate,Noise_Frequincies,Channel) return filter1 Then when the time comes I use Both_Channels = [Chan1, Chan2] results = mp.Pool(2).map(wrapper,Both_Channels) filter1 = results[0] filter2 = results[1] I get the following error

What is the maximum and minimum size of connection pool ADO.Net Supports in the connection string. Min Pool Size=[max size ?] Max Pool Size=[min size] There is no documented limit on Max Pool Size. There is however an exact documented limit on maximum number of concurrent connections to a single SQL Server (32767 per instance, see http://msdn.microsoft.com/en-us/library/ms143432(v=SQL.90).aspx) . A single ADO.NET pool can only go to a single instance, so maximum effective limit is therefore 32767. Min pool size is zero Default Max Pool Size 100 Min Pool Size 0 Connection Pooling for the .NET

I opened up a question for this problem and did not get a thorough enough answer to solve the issue (most likely due to a lack of rigor in explaining my issues which is what I am attempting to correct): Zombie process in python multiprocessing daemon I am trying to implement a python daemon that uses a pool of workers to executes commands using Popen . I have borrowed the basic daemon from http://www.jejik.com/articles/2007/02/a_simple_unix_linux_daemon_in_python/ I have only changed the init , daemonize (or equally the start ) and stop methods. Here are the changes to the init method: def _

I have an existing java/scala application using a global thread pool. I would like to start using actors in the project but would like everything in the app using the same pool. I know I can set the maximum number of threads that actors use but would prefer sharing the thread pool. Is this necessary/reasonable, and is it possible to designate the actor's thread pool? If it is not possible/recommended, are there any rules of thumb when integrating actors in apps that are already using threads? Thanks. I believe you can do something like this: trait MyActor extends Actor { val pool = ... // git

I tried to rewrite some csv-reading code to be able to run it on multiple cores in Python 3.2.2. I tried to use the Pool object of multiprocessing, which I adapted from working examples (and already worked for me for another part of my project). I ran into an error message I found hard to decipher and troubleshoot. The error: Traceback (most recent call last): File "parser5_nodots_parallel.py", line 256, in <module> MG,ppl = csv2graph(r) File "parser5_nodots_parallel.py", line 245, in csv2graph node_chunks) File "/Library/Frameworks/Python.framework/Versions/3.2/lib/python3.2/multiprocessing

I want to run something like this: from multiprocessing import Pool import time import random class Controler(object): def __init__(self): nProcess = 10 pages = 10 self.__result = [] self.manageWork(nProcess,pages) def BarcodeSearcher(x): return x*x def resultCollector(self,result): self.__result.append(result) def manageWork(self,nProcess,pages): pool = Pool(processes=nProcess) for pag in range(pages): pool.apply_async(self.BarcodeSearcher, args = (pag, ), callback = self.resultCollector) print self.__result if __name__ == '__main__': Controler() but the code result the error : Exception in