python进程池实现

multiprocessing 包介绍

# -*- coding: utf-8 -*-

import multiprocessing
import time

def foo_pool(x):
    #这里不可以访问到主进程的变量
    time.sleep(0.2)
    return x*x

result_list = []
result_list1 = []

def apply_async_with_callback():

    def cb(result):
        # 这里可以访问到主进程的变量
        result_list.append(result)

    pool = multiprocessing.Pool()
    for i in range(10):
        xx=pool.apply_async(foo_pool, args = (i, ), callback = cb)
        result_list1.append(xx)
    pool.close()  #等待所有的子进程都执行完毕再关闭 进程池
    #pool.terminate()
    pool.join()
    print(result_list)
    print result_list1[1].get() #获取数据  get()
if __name__ == '__main__':
    apply_async_with_callback()
from multiprocessing import Process, Pipe,freeze_support
import threading
import time
import urllib2
def f(conn):
    while True:
        url = conn.recv()
        print url
        content_stream = urllib2.urlopen(url)
        content = content_stream.read()
        conn.send("done+"+url)
        #conn.close()

tasks=[]
for i in xrange(1,15):
    tasks.append("http://www.jd.com?a="+str(i))

def thread_f1():
    parent_conn, child_conn = Pipe()
    p = Process(target=f, args=(child_conn,))
    p.start()
    while True:
        z=tasks.pop()
        print z+"_____"
        parent_conn.send(z)
        html=parent_conn.recv()
        print html
        pass

if __name__ == '__main__':
    freeze_support()
    threads = []
    t1 = threading.Thread(target=thread_f1,args=())
    threads.append(t1)
    t1.start()
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