import time async def get_request(url): print('正在请求的url:', url) time.sleep(2) print('请求结束:', url) if __name__ == '__main__': get_request('') 1. 2. 3. 4. 5. 6. 7. 8. 9. 运行特殊的函数,我们发现并没有打印我们想要的结果! 特殊的函数: 如
time.sleep(2) returnname.upper() if__name__ =='__main__': results = [] p = multiprocessing.Pool(5)# 限制运行的进程数量为 5 个 foriinrange(7):# 开启 7 个进程,而 7 个进程超过了 5 个,所以限制了 2 个进程,不给放行 res = p.apply_async(func, args=('诸葛亮','B')) results...
下图是apply_async的进程池 importtimefrommultiprocessingimportPooldefrun(msg):print('msg:%s'%msg)#程序随眠3秒,time.sleep(3)print('end')if__name__=="__main__":print("开始执行主程序")start_time=time.time()#使用进程池创建子进程size=3pool=Pool(size)print("开始执行子进程")foriinrange(siz...
此时运用asyncio模块实现了并发,asyncio.wait(tasks)也可以使用async.gather(*tasks),前者接受一个列表,后者接收一堆task 协程嵌套 使用async可以定义协程,协程用于耗时的io操作,我们也可以封装更多的io操作过程,这样就实现了嵌套的协程,即一个协程中await了另外一个协程,如此连接起来 单任务 from time import time imp...
time.sleep(3)print('Child Process id : %s, Parent Process id : %s'%(os.getpid(), os.getppid()))if__name__=='__main__': a=A() p=multiprocessing.Pool(multiprocessing.cpu_count())foriinrange(5): p.apply_async(a.func, args=(i,)) ...
send_mail.delay("hello celery") # 执行异步任务的方式二:apply_async task1.send_message.apply_async(args=("hello world",)) task2.send_mail.apply_async(args=("hello python",)) print("欢迎学习celery") 现在,让我们启动 Celery Worker 进程,在项目的根目录下执行下面命令: celery -A celery_...
import time import multiprocessing as mp def power(x, a=2): """进程函数:幂函数""" time.sleep(1) print('%d的%d次方等于%d'%(x, a, pow(x, a))) def demo(): mpp = mp.Pool(processes=4) for item in [2,3,4,5,6,7,8,9]: mpp.apply_async(power, (item, )) # 非阻塞提交新...
asyncio import AsyncMachine import asyncio import time class AsyncModel: def prepare_model(self): print("I am synchronous.") self.start_time = time.time() async def before_change(self): print("I am asynchronous and will block now for 100 milliseconds.") await asyncio.sleep(0.1) print("I...
multiple_results = [pool.apply_async(os.getpid, ()) for i in range(4)] print([res.get(timeout=1) for res in multiple_results]) # make a single worker sleep for 10 secs res = pool.apply_async(time.sleep, (10,)) try:
apply_async() 支持更多的参数,常用的参数如下: countdown :指定多少秒后执行任务 havefun.apply_async(args=(1,), countdown=15) # 15 秒后执行任务 执行后,多了两条日志文件: [2018-06-05 16:27:16,592:INFO/MainProcess] Receivedtask:app.email.havefun[d1c4ab89-4fcc-491c-bdd4-b5d0b4faab94...