#coding:utf-8
import sys
import time
import os
import multiprocessing
class Worker(object):
def __init__(self):
self.progress = 0
self.task_info = None
def init(self):
pass
def status(self):
pass
def set_task_info(self, task_info):
self.task_info = task_info
def run(self, worker_status_meta_dict):
print multiprocessing.current_process()
print "process is %d" % self.progress
while self.progress < 5:
self.progress = self.progress +1
worker_status_meta_dict['state'] = 0
worker_status_meta_dict['status'] = "running"
time.sleep(2)
worker_status_meta_dict['state'] = 1
worker_status_meta_dict['status'] = "succeeded"
print "bavscan worker finished..."
if __name__ == "__main__":
worker = Worker()
worker_process_dict = multiprocessing.Manager().dict()
process = multiprocessing.Process(target=Worker.run, args=(worker, worker_process_dict))
process.start()
time.sleep(60)
这是python多进程的简单演示。 主进程使用multiprocessing.Process在子进程中调用Worker.run方法。 当在wondows 7中运行它时,主要过程将进行两个子过程。
答案 0 :(得分:0)
我在&#34; Python27 \ Lib \ multiprocessing__init __找到了问题.py&#34;
def Manager():
'''
Returns a manager associated with a running server process
The managers methods such as `Lock()`, `Condition()` and `Queue()`
can be used to create shared objects.
'''
from multiprocessing.managers import SyncManager
m = SyncManager()
m.start()
return m
m.start()将启动一个子进程来启动管理器。