本文实例讲述了python 协程 gevent原理与用法。分享给大家供大家参考,具体如下:
gevent
greenlet已经实现了协程,但是这个还的人工切换,是不是觉得太麻烦了,不要捉急,python还有一个比greenlet更强大的并且能够自动切换任务的模块gevent
其原理是当一个greenlet遇到IO(指的是input output 输入输出,比如网络、文件操作等)操作时,比如访问网络,就自动切换到其他的greenlet,等到IO操作完成,再在适当的时候切换回来继续执行。
由于IO操作非常耗时,经常使程序处于等待状态,有了gevent为我们自动切换协程,就保证总有greenlet在运行,而不是等待IO
安装
pip3 install gevent
1. gevent的使用
import gevent def f(n): for i in range(n): print(gevent.getcurrent(),i) g1 = gevent.spawn(f,5) g2 = gevent.spawn(f,5) g3 = gevent.spawn(f,5) g1.join() g2.join() g3.join()
运行结果
<Greenlet at 0x10e49f550: f(5)> 0
<Greenlet at 0x10e49f550: f(5)> 1
<Greenlet at 0x10e49f550: f(5)> 2
<Greenlet at 0x10e49f550: f(5)> 3
<Greenlet at 0x10e49f550: f(5)> 4
<Greenlet at 0x10e49f910: f(5)> 0
<Greenlet at 0x10e49f910: f(5)> 1
<Greenlet at 0x10e49f910: f(5)> 2
<Greenlet at 0x10e49f910: f(5)> 3
<Greenlet at 0x10e49f910: f(5)> 4
<Greenlet at 0x10e49f4b0: f(5)> 0
<Greenlet at 0x10e49f4b0: f(5)> 1
<Greenlet at 0x10e49f4b0: f(5)> 2
<Greenlet at 0x10e49f4b0: f(5)> 3
<Greenlet at 0x10e49f4b0: f(5)> 4
可以看到,3个greenlet是依次运行而不是交替运行
2. gevent切换执行
import gevent def f(n): for i in range(n): print(gevent.getcurrent(),i) #用来模拟一个耗时操作,注意不是time模块中的sleep gevent.sleep(1) g1 = gevent.spawn(f,5) g1.join() g2.join() g3.join()
运行结果
<Greenlet at 0x7fa70ffa1c30: f(5)> 0
<Greenlet at 0x7fa70ffa1870: f(5)> 0
<Greenlet at 0x7fa70ffa1eb0: f(5)> 0
<Greenlet at 0x7fa70ffa1c30: f(5)> 1
<Greenlet at 0x7fa70ffa1870: f(5)> 1
<Greenlet at 0x7fa70ffa1eb0: f(5)> 1
<Greenlet at 0x7fa70ffa1c30: f(5)> 2
<Greenlet at 0x7fa70ffa1870: f(5)> 2
<Greenlet at 0x7fa70ffa1eb0: f(5)> 2
<Greenlet at 0x7fa70ffa1c30: f(5)> 3
<Greenlet at 0x7fa70ffa1870: f(5)> 3
<Greenlet at 0x7fa70ffa1eb0: f(5)> 3
<Greenlet at 0x7fa70ffa1c30: f(5)> 4
<Greenlet at 0x7fa70ffa1870: f(5)> 4
<Greenlet at 0x7fa70ffa1eb0: f(5)> 4
3. 给程序打补丁
from gevent import monkey import gevent import random import time def coroutine_work(coroutine_name): for i in range(10): print(coroutine_name,i) time.sleep(random.random()) gevent.joinall([ gevent.spawn(coroutine_work,"work1"),gevent.spawn(coroutine_work,"work2") ])
运行结果
work1 0
work1 1
work1 2
work1 3
work1 4
work1 5
work1 6
work1 7
work1 8
work1 9
work2 0
work2 1
work2 2
work2 3
work2 4
work2 5
work2 6
work2 7
work2 8
work2 9
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