Zac*_*ack 58 python multithreading
我正在尝试理解线程和并发的基础知识.我想要一个简单的情况,其中两个线程反复尝试访问一个共享资源.
代码:
import threading
class Thread(threading.Thread):
def __init__(self, t, *args):
threading.Thread.__init__(self, target=t, args=args)
self.start()
count = 0
lock = threading.Lock()
def incre():
global count
lock.acquire()
try:
count += 1
finally:
lock.release()
def bye():
while True:
incre()
def hello_there():
while True:
incre()
def main():
hello = Thread(hello_there)
goodbye = Thread(bye)
while True:
print count
if __name__ == '__main__':
main()
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所以,我有两个线程,都试图增加计数器.我认为如果线程'A'被调用incre(),那么lock就会建立起来,阻止'B'访问,直到'A'被释放.
运行时清楚地表明情况并非如此.您将获得所有随机数据竞争增量.
锁对象究竟是如何使用的?
编辑,另外,我已经尝试将锁定放在线程函数内部,但仍然没有运气.
jdi*_*jdi 71
你可以看到你的锁在使用它们时非常有效,如果你减慢了进程并使它们阻塞了一点.你有正确的想法,用锁来包围关键的代码片段.这是对您的示例的一个小调整,以向您展示每个人如何等待释放锁.
import threading
import time
import inspect
class Thread(threading.Thread):
def __init__(self, t, *args):
threading.Thread.__init__(self, target=t, args=args)
self.start()
count = 0
lock = threading.Lock()
def incre():
global count
caller = inspect.getouterframes(inspect.currentframe())[1][3]
print "Inside %s()" % caller
print "Acquiring lock"
with lock:
print "Lock Acquired"
count += 1
time.sleep(2)
def bye():
while count < 5:
incre()
def hello_there():
while count < 5:
incre()
def main():
hello = Thread(hello_there)
goodbye = Thread(bye)
if __name__ == '__main__':
main()
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样本输出:
...
Inside hello_there()
Acquiring lock
Lock Acquired
Inside bye()
Acquiring lock
Lock Acquired
...
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