python多线程编程4死锁和可重入锁

python

死锁

在线程间共享多个资源的时候,如果两个线程分别占有一部分资源并且同时等待对方的资源,就会造成死锁。尽管死锁很少发生,但一旦发生就会造成应用的停止响应。下面看一个死锁的例子:

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import threading

import time

class MyThread(threading.Thread):

def do1(self):

global resA, resB

if mutexA.acquire():

msg = self.name+" got resA"

print msg

if mutexB.acquire(1):

msg = self.name+" got resB"

print msg

mutexB.release()

mutexA.release()

def do2(self):

global resA, resB

if mutexB.acquire():

msg = self.name+" got resB"

print msg

if mutexA.acquire(1):

msg = self.name+" got resA"

print msg

mutexA.release()

mutexB.release()

def run(self):

self.do1()

self.do2()

resA = 0

resB = 0

mutexA = threading.Lock()

mutexB = threading.Lock()

def test():

for i in range(5):

t = MyThread()

t.start()

if __name__ == "__main__":

test()


执行结果:


Thread-1 got resA

Thread-1 got resB

Thread-1 got resB

Thread-1 got resA

Thread-2 got resA

Thread-2 got resB

Thread-2 got resB

Thread-2 got resA

Thread-3 got resA

Thread-3 got resB

Thread-3 got resB

Thread-3 got resA

Thread-5 got resA

Thread-5 got resB

Thread-5 got resB

Thread-4 got resA


此时进程已经死掉。


可重入锁

更简单的死锁情况是一个线程“迭代”请求同一个资源,直接就会造成死锁:

import threading

import time

class MyThread(threading.Thread):

def run(self):

global num

time.sleep(1)

if mutex.acquire(1):

num = num+1

msg = self.name+" set num to "+str(num)

print msg

mutex.acquire()

mutex.release()

mutex.release()

num = 0

mutex = threading.Lock()

def test():

for i in range(5):

t = MyThread()

t.start()

if __name__ == "__main__":

test()


为了支持在同一线程中多次请求同一资源,python提供了“可重入锁”:threading.RLock。RLock内部维护着一个Lock和一个counter变量,counter记录了acquire的次数,从而使得资源可以被多次require。直到一个线程所有的acquire都被release,其他的线程才能获得资源。上面的例子如果使用RLock代替Lock,则不会发生死锁:

import threading

import time

class MyThread(threading.Thread):

def run(self):

global num

time.sleep(1)

if mutex.acquire(1):

num = num+1

msg = self.name+" set num to "+str(num)

print msg

mutex.acquire()

mutex.release()

mutex.release()

num = 0

mutex = threading.RLock()

def test():

for i in range(5):

t = MyThread()

t.start()

if __name__ == "__main__":

test()

执行结果:


Thread-1 set num to 1

Thread-3 set num to 2

Thread-2 set num to 3

Thread-5 set num to 4

Thread-4 set num to 5


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