Python启动多线程执行任务,用线程锁实现同步分配任务,最后等待所有线程执行完毕
#python3多线程演示 import threading import random import time total = 10 # 总任务次数 index = 0 # 索引 class myTask(threading.Thread): def __init__(self, name): threading.Thread.__init__(self) #self.threadID = threadID self.name = name def run(self): #默认线程运行入口 print("开始线程:" + self.name) self.fenpei() def fenpei(self): global index #如果是只读该全局变量则不用global,这里涉及到修改(写)则需要 _index = 0 threadLock.acquire() # 获取锁,用于线程同步 index = index+1 _index = index threadLock.release() # 释放锁,开启下一个线程 if (_index > total): print("退出线程:" + self.name) else: self.zhixing(_index) def zhixing(self,i): delay = random.randint(1, 2) time.sleep(delay) #如果不加延时,则会使下一个线程还没来得及启动就使得当前线程再次获取线程锁并运行,其他任务本耗时的时候就不用 print(self.name,i) self.fenpei() threadLock = threading.Lock() thread1 = myTask("xiancheng1") thread2 = myTask("xiancheng2") thread3 = myTask("xiancheng3") #启动线程 thread1.start() thread2.start() thread3.start() # 添加线程到线程列表 threads = [] threads.append(thread1) threads.append(thread2) threads.append(thread3) # 等待所有线程完成 for t in threads: t.join() #主线程等待该子线程终止 或 抛出异常 print ("所有线程运行完毕")
运行效果截图: