The content of this article is about the simple implementation code of process pool in python. It has certain reference value. Friends in need can refer to it. I hope it will be helpful to you.
Go back to python and use the python process pool.
I remember during the previous interview, the interviewer asked: Do you know the default parameters of the process pool? I didn't answer, but later I found out that there are default parameters. Let’s take a look at its default parameters
1. Without parameters
from multiprocessing.pool import Pool from time import sleep def fun(a): sleep(5) print(a) if __name__ == '__main__': p = Pool() # 这里不加参数,但是进程池的默认大小,等于电脑CPU的核数 # 也是创建子进程的个数,也是每次打印的数字的个数 for i in range(10): p.apply_async(fun, args= (i, )) p.close() p.join() # 等待所有子进程结束,再往后执行 print("end")
2. With parameters5
from multiprocessing.pool import Pool from time import sleep def fun(a): sleep(5) print(a) if __name__ == '__main__': p = Pool(5) # 最多执行5个进程,打印5个数 for i in range(10): p.apply_async(fun, args= (i, )) p.close() p.join() # 等待所有子进程结束,再往后执行 print("end")
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