使用语句和python线程

时间:2013-05-04 00:27:44

标签: python multithreading asynchronous with-statement

我是python中的一个菜鸟,试图理解线程模块。 我正在使用python 2.7.python中with_statement的动机之一被赋予了

的代码模式
with threading.Lock():
        //User defined function in a new thread

我不确定我是否已正确理解它,但我最初的假设是这段代码应该获取一次锁定在mainthread上,一旦子线程完成就会释放。 然而这个剧本

from __future__ import print_function
import threading
import time
import functools
#import contextlib
#Thread module for dealing with lower level thread operations.Thread is limited use Threading instead.

def timeit(fn):
    '''Timeit function like this doesnot work with the thread calls'''
    def wrapper(*args,**kwargs):
        start = time.time()
        fn(*args,**kwargs)
        end = time.time()
        threadID = ""
        print ("Duration for func %s :%d\n"%(fn.__name__ +"_"+ threading.current_thread().name ,end-start))
    return wrapper

exitFlag = 0

@timeit
def print_time(counter,delay):
    while counter:
        if exitFlag:
            thread.exit()
        time.sleep(delay)
        print("%s : %s_%d"%(threading.current_thread().name,time.ctime(time.time()),counter))
        counter -= 1

class Mythread(threading.Thread):
    def __init__(self,threadID,name,counter,delay):
        threading.Thread.__init__(self)
        self.threadID = threadID
        self.name = name
        self.counter = counter
        self.delay = delay

    def run(self):
        print("Starting%s\n" % self.name)
        print_time(self.counter, self.delay)
        print("Exiting%s\n" % self.name)


if __name__ == '__main__':
    '''
    print_time(5, 1)
     threadLock = threading.Lock()
     threads = []
     thread1 = Mythread(1,"Thread1",5,1)
     thread2 = Mythread(2,"Thread2",5,2)
     thread1.start()
     thread2.start()
     threads.append(thread1)
     threads.append(thread2)
     for t in threads:
         t.join()
    '''
    thread1 = Mythread(1,"Thread1",5,1)
    thread2 = Mythread(2,"Thread2",5,2)
    lock = threading.Lock()
    with lock:
        thread1.start()
        thread2.start()

    print("Exiting main thread ")

产生以下输出:

StartingThread1

StartingThread2

Exiting main thread 
Thread1 : Sat May 04 02:21:54 2013_5
Thread1 : Sat May 04 02:21:55 2013_4
Thread2 : Sat May 04 02:21:55 2013_5
Thread1 : Sat May 04 02:21:56 2013_3
Thread1 : Sat May 04 02:21:57 2013_2
Thread2 : Sat May 04 02:21:57 2013_4
Thread1 : Sat May 04 02:21:58 2013_1
Duration for func print_time_Thread1 :5

ExitingThread1

Thread2 : Sat May 04 02:21:59 2013_3
Thread2 : Sat May 04 02:22:01 2013_2
Thread2 : Sat May 04 02:22:03 2013_1
Duration for func print_time_Thread2 :10

ExitingThread2

请帮助我理解为什么锁定不能与这样的with_statement一起工作,或者我完全误解了这个概念。我很困惑为什么我直接打印(“退出主线程”)甚至通过定义一个锁

1 个答案:

答案 0 :(得分:8)

您现有的lock基本上什么也没做。没有其他线程可以引用它,因此它不可能导致任何人阻止任何地方。它唯一可能做的就是浪费几微秒。所以这个:

lock = threading.Lock()
with lock:
    thread1.start()
    thread2.start()

......几乎等同于:

time.sleep(0.001)
thread1.start()
thread2.start()

而且我很确定这不是你想要的。

如果要强制线程按顺序运行,最简单的方法就是不使用线程。

或者,如果你必须使用线程,只需等待一个完成,然后再开始下一个:

thread1 = Mythread(1,"Thread1",5,1)
thread2 = Mythread(2,"Thread2",5,2)
thread1.start()
thread1.join()
thread2.start()
thread2.join()

如果你想让线程自己序列化,没有外界的任何帮助,你必须给他们一个他们可以分享的锁。例如:

class Mythread(threading.Thread):
    def __init__(self,threadID,name,counter,delay,lock):
        threading.Thread.__init__(self)
        self.lock = lock
        # ...
    def run(self):
        with self.lock:
            # ...

现在,打电话给他们:

lock = threading.Lock()
thread1 = Mythread(1,"Thread1",5,1, lock)
thread2 = Mythread(2,"Thread2",5,2, lock)
thread1.start()
thread2.start()
# ...
thread1.join()
thread2.join()

现在,当每个线程启动时,它将尝试获取锁定。一个会成功,另一个会阻塞,直到第一个完成锁定(通过退出其with语句)。


如果你不想序列化线程,你只需要主线程等待所有其他线程的完成......你需要的只是join。这正是join的用途。没有必要添加任何其他内容。


如果你真的想要,你可以守护线程并等待同步对象。我想不出一个简单的方法来使用锁定,但使用BoundedSemaphoreCondition应该很容易(尽管你必须等待两次条件) 。但这是一件非常愚蠢的事情,所以我不确定你为什么要这样做。