一、介绍
线程是什么?线程有啥用?线程和进程的区别是什么?
线程是操作系统能够进行运算调度的最小单位。被包含在进程中,是进程中的实际运作单位。一条线程指的是进程中一个单一顺序的控制流,一个进程中可以并发多个线程,每条线程并行执行不同的任务。
二、Python如何创建线程
2.1 方法一:
创建Thread对象
步骤:
1.目标函数
2.实例化Thread对象
3.调用start()方法
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import threading # 目标函数1 def fun1(num): for i in range (num): print ( '线程1: 第%d次循环:' % i) # 目标函数2 def fun2(lst): for ele in lst: print ( '线程2: lst列表中元素 %d' % ele) def main(): num = 10 # 实例化Thread对象 # target参数一定为一个函数,且不带括号 # args参数为元组类型,参数为一个时一定要加逗号 t1 = threading.Thread(target = fun1, args = (num,)) t2 = threading.Thread(target = fun2, args = ([ 1 , 2 , 3 , 4 , 5 ],)) # 调用start方法 t1.start() t2.start() if __name__ = = '__main__' : main() |
2.2 方法二:
创建子类继承threading.Thread类
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import threading import os class Person(threading.Thread): def run( self ): self .sing( 5 ) self .cook() @staticmethod def sing(num): for i in range (num): print ( '线程[%d]: The person sing %d song.' % (os.getpid(), i)) @staticmethod def cook(): print ( '线程[%d]:The person has cooked breakfast.' % os.getpid()) def main(): p1 = Person() p1.start() p2 = Person() p2.start() if __name__ = = '__main__' : main() |
三、线程的用法
3.1 确定当前的线程
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import threading import time import logging def fun1(): print (threading.current_thread().getName(), 'starting' ) time.sleep( 0.2 ) print (threading.current_thread().getName(), 'exiting' ) def fun2(): # print(threading.current_thread().getName(), 'starting') # time.sleep(0.3) # print(threading.current_thread().getName(), 'exiting') logging.debug( 'starting' ) time.sleep( 0.3 ) logging.debug( 'exiting' ) logging.basicConfig( level = logging.DEBUG, format = '[%(levelname)s] (%(threadName)-10s) %(message)s' ) def main(): t1 = threading.Thread(name = '线程1' , target = fun1) t2 = threading.Thread(name = '线程2' , target = fun2) t1.start() t2.start() if __name__ = = '__main__' : main() |
3.2 守护线程
区别
- 普通线程:主线程等待子线程关闭后关闭
- 守护线程:管你子线程关没关,主线程到时间就关闭
守护线程如何搞
- 方法1:构造线程时传入dameon=True
- 方法2:调用setDaemon()方法并提供参数True
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import threading import time import logging def daemon(): logging.debug( 'starting' ) # 添加延时,此时主线程已经退出,exiting不会打印 time.sleep( 0.2 ) logging.debug( 'exiting' ) def non_daemon(): logging.debug( 'starting' ) logging.debug( 'exiting' ) logging.basicConfig( level = logging.DEBUG, format = '[%(levelname)s] (%(threadName)-10s) %(message)s' ) def main(): # t1 = threading.Thread(name='线程1', target=daemon) # t1.setDaemon(True) t1 = threading.Thread(name = '线程1' , target = daemon, daemon = True ) t2 = threading.Thread(name = '线程2' , target = non_daemon) t1.start() t2.start() # 等待守护线程完成工作需要调用join()方法,默认情况join会无限阻塞,可以传入浮点值,表示超时时间 t1.join( 0.2 ) t2.join( 0.1 ) if __name__ = = '__main__' : main() |
3.3 控制资源访问
目的:
Python线程中资源共享,如果不对资源加上互斥锁,有可能导致数据不准确。
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import threading import time g_num = 0 def fun1(num): global g_num for i in range (num): g_num + = 1 print ( '线程1 g_num = %d' % g_num) def fun2(num): global g_num for i in range (num): g_num + = 1 print ( '线程2 g_num = %d' % g_num) def main(): t1 = threading.Thread(target = fun1, args = ( 1000000 ,)) t2 = threading.Thread(target = fun1, args = ( 1000000 ,)) t1.start() t2.start() if __name__ = = '__main__' : main() time.sleep( 1 ) print ( '主线程 g_num = %d' % g_num) |
互斥锁
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import threading import time g_num = 0 L = threading.Lock() def fun1(num): global g_num L.acquire() for i in range (num): g_num + = 1 L.release() print ( '线程1 g_num = %d' % g_num) def fun2(num): global g_num L.acquire() for i in range (num): g_num + = 1 L.release() print ( '线程2 g_num = %d' % g_num) def main(): t1 = threading.Thread(target = fun1, args = ( 1000000 ,)) t2 = threading.Thread(target = fun1, args = ( 1000000 ,)) t1.start() t2.start() if __name__ = = '__main__' : main() time.sleep( 1 ) print ( '主线程 g_num = %d' % g_num) |
互斥锁引发的另一个问题:死锁
死锁产生的原理:
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import threading import time g_num = 0 L1 = threading.Lock() L2 = threading.Lock() def fun1(): L1.acquire(timeout = 5 ) time.sleep( 1 ) L2.acquire() print ( '产生死锁,并不会打印信息' ) L2.release() L1.release() def fun2(): L2.acquire(timeout = 5 ) time.sleep( 1 ) L1.acquire() print ( '产生死锁,并不会打印信息' ) L1.release() L2.release() def main(): t1 = threading.Thread(target = fun1) t2 = threading.Thread(target = fun2) t1.start() t2.start() if __name__ = = '__main__' : main() time.sleep( 1 ) print ( '主线程 g_num = %d' % g_num) |
如何避免产生死锁:
锁超时操作
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import threading import time g_num = 0 L1 = threading.Lock() L2 = threading.Lock() def fun1(): L1.acquire() time.sleep( 1 ) L2.acquire(timeout = 5 ) print ( '超时异常打印信息1' ) L2.release() L1.release() def fun2(): L2.acquire() time.sleep( 1 ) L1.acquire(timeout = 5 ) print ( '超时异常打印信息2' ) L1.release() L2.release() def main(): t1 = threading.Thread(target = fun1) t2 = threading.Thread(target = fun2) t1.start() t2.start() if __name__ = = '__main__' : main() time.sleep( 1 ) print ( '主线程 g_num = %d' % g_num) |
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原文链接:https://blog.csdn.net/qq_31385393/article/details/115873831