py 多线程 多进程 异步调用 回调 dummy封装threads 总结

        #coding:utf-8

'''
多进程同步写法
'''
from multiprocessing import Process
import time,os,sys,math

def f(name):
    print 'hello',name
    print os.getppid()
    print os.getpid()
    sys.stdout.flush()

def main():
    process_list = []
    for i in range(10):
        p = Process(target=f,args=(i,))
        p.start()
        process_list.append(p)
    for j in process_list:
        j.join()


main()

'''
进程池＋异步调用＋回调
'''
import time
from multiprocessing import Pool
def ff(x):
    print x
    return x
def ee(*args):
    print args

for i in xrange(3):
    pool = Pool(processes=4)
    result = pool.apply_async(ff,[i],callback=ee)
    time.sleep(2)
    pool.close()
    pool.join()


'''
多线程写法
'''
import  threading

def th():
    print 'hello 1'
threading.Event(3)
    print 'hello 2'
t = threading.Thread(name='th',target=th,args=())
t.daemon = True
t.start()

'''
dummy.map封装多线程
'''
from multiprocessing.dummy import Pool as ThreadPool
def threads(functions,queue):

    # 创建一个工作者线程池
pool = ThreadPool(3)
    # 在各个线程中打开url，并返回结果
results = pool.map(functions,queue)
    # 关闭线程池，等待工作结束
pool.close()
    pool.join()
    return results