RuntimeError on Windows When Using Multiprocessing
Encountering a "RuntimeError" while attempting to use multiprocessing on Windows indicates a potential issue with the program's bootstrapping phase. This error typically occurs when the main module initiates subprocesses without using the proper idiom.
To resolve this problem, ensure that the main module includes the following line before launching any subprocesses:
if __name__ == '__main__': freeze_support()
Code Example
Consider the following simplified code snippet that attempts to utilize multiprocessing in separate modules on Windows:
testMain.py (Main Module)
import parallelTestModule extractor = parallelTestModule.ParallelExtractor() extractor.runInParallel(numProcesses=2, numThreads=4)
parallelTestModule.py (Separate Module)
import multiprocessing from multiprocessing import Process import threading class ThreadRunner(threading.Thread): def __init__(self, name): threading.Thread.__init__(self) self.name = name def run(self): print(self.name, '\n') class ProcessRunner: def runp(self, pid, numThreads): mythreads = [] for tid in range(numThreads): name = "Proc-"+str(pid)+"-Thread-"+str(tid) th = ThreadRunner(name) mythreads.append(th) for i in mythreads: i.start() for i in mythreads: i.join() class ParallelExtractor: def runInParallel(self, numProcesses, numThreads): myprocs = [] prunner = ProcessRunner() for pid in range(numProcesses): pr = Process(target=prunner.runp, args=(pid, numThreads)) myprocs.append(pr) for i in myprocs: i.start() for i in myprocs: i.join()
Applied Solution
To rectify the RuntimeError on Windows, add the if name == '__main__': guard to the main module:
import parallelTestModule if __name__ == '__main__': extractor = parallelTestModule.ParallelExtractor() extractor.runInParallel(numProcesses=2, numThreads=4)
By completing this change, the program will correctly handle subprocesses as intended without triggering the RuntimeError.
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