网络编程(day5)

http://www.cnblogs.com/yuanchenqi/articles/6755717.html

import threading
from time import ctime,sleep
import time

def Music(name):

        print ("Begin listening to {name}. {time}".format(name=name,time=ctime()))
        sleep(3)
        print(threading.activeCount())
        print(threading.enumerate())
        print("end listening {time}".format(time=ctime()))


def Blog(title):

        print ("Begin recording the {title}. {time}".format(title=title,time=ctime()))
        sleep(5)
        print('end recording {time}'.format(time=ctime()))


threads = []


t1 = threading.Thread(target=Music,args=('FILL ME',),name="sub_thread")
t2 = threading.Thread(target=Blog,args=('',))

threads.append(t1)
threads.append(t2)

if __name__ == '__main__':

    t1.setDaemon(True)  # daemon：监听，主进程一直等，只等t2

    for t in threads:

        t.start()

    print ("all over %s" %ctime())

 

GIL影响是同一时刻一个进程中只能有一个线程在执行，对于cpu密集型的没有意义，但是对于IO密集型的有意义 

 

 同步锁

import time
import threading

def subNum():

    global num #在每个线程中都获取这个全局变量
    # num-=1
    print("ok")
    lock.acquire()#加锁开始
    temp=num
    time.sleep(0.1)
    num =temp-1  # 对此公共变量进行-1操作
    lock.release()#加锁结束，只对中间圈的起作用，而join是对整个都是串行的，ok不会全部打印出来

num = 100  #设定一个共享变量
thread_list = []

lock=threading.Lock()#不允许其他线程来切，必须执行完才能切，是为是保护数据，

for i in range(100):
    t = threading.Thread(target=subNum)
    t.start()
    thread_list.append(t)
    # t.join()

for t in thread_list: #等待所有线程执行完毕
    t.join()

print('Result: ', num)

 

递归锁

import threading
import time

#递归锁，rlock,只要涉及到公共数据，数据安全的时候，是唯一的安全机制，他内部有个计数器1,2
#同步锁不能acquire多次，建议多用递归锁

# mutexA = threading.Lock()
# mutexB = threading.Lock()

Rlock=threading.RLock()

class MyThread(threading.Thread):

    def __init__(self):
        threading.Thread.__init__(self)

    def run(self):

        self.fun1()
        self.fun2()

    def fun1(self):

        Rlock.acquire()  # 如果锁被占用,则阻塞在这里,等待锁的释放

        print ("I am %s , get res: %s---%s" %(self.name, "ResA",time.time()))

        Rlock.acquire()  # count=2
        print ("I am %s , get res: %s---%s" %(self.name, "ResB",time.time()))
        Rlock.release()   #count-1

        Rlock.release()   #count-1 =0


    def fun2(self):
        Rlock.acquire()  # count=1
        print ("I am %s , get res: %s---%s" %(self.name, "ResB",time.time()))
        time.sleep(0.2)

        Rlock.acquire()  # count=2
        print ("I am %s , get res: %s---%s" %(self.name, "ResA",time.time()))
        Rlock.release()

        Rlock.release()   # count=0


if __name__ == "__main__":

    print("start---------------------------%s"%time.time())

    for i in range(0, 10):

        my_thread = MyThread()
        my_thread.start()

 

event对像 

 

 

#EVent就是线程间通信用的

import threading
import time
import logging

logging.basicConfig(level=logging.DEBUG, format='(%(threadName)-10s) %(message)s',)


def worker(event):
    logging.debug('Waiting for redis ready...')

    while not event.isSet():
        logging.debug("wait.......")
        event.wait(3)   # if flag=False阻塞，等待flag=true继续执行


    logging.debug('redis ready, and connect to redis server and do some work [%s]', time.ctime())
    time.sleep(1)

def main():

    readis_ready = threading.Event()  #  flag=False
    t1 = threading.Thread(target=worker, args=(readis_ready,), name='t1')
    t1.start()

    t2 = threading.Thread(target=worker, args=(readis_ready,), name='t2')
    t2.start()

    logging.debug('first of all, check redis server, make sure it is OK, and then trigger the redis ready event')

    time.sleep(6) # simulate the check progress
    readis_ready.set()  # flag=Ture


if __name__=="__main__":
    main()

 

进程

# from multiprocessing import Process
#
#
# import time
#
#
# def f(name):
#
#     print('hello', name,time.ctime())
#     time.sleep(1)
#
# if __name__ == '__main__':
#     p_list=[]
#
#     for i in range(3):
#         p = Process(target=f, args=('alvin:%s'%i,))
#         p_list.append(p)
#         p.start()
#
#
#     # for i in p_list:
#     #     p.join()
#
#     print('end')

from multiprocessing import Process
import os
import time

def info(name):

    print("name:",name)
    print('parent process:', os.getppid())
    print('process id:', os.getpid())
    print("------------------")


def foo(name):

    info(name)
    time.sleep(50)

if __name__ == '__main__':

    info('main process line')


    p1 = Process(target=info, args=('alvin',))
    p2 = Process(target=foo, args=('egon',))
    p1.start()
    p2.start()

    p1.join()
    p2.join()

    print("ending")
    time.sleep(100)

    

 

 

协程

　　主要应用：还是在IO操作上，当你遇到IO操作，

　　优点：1 就切换单线程，不存在切换，2，不存在锁的概念

 

greenlt框架

gevent模块实现协程