python中线程/线程池，进程/进程池的创建

创建子线程

    # 创建子线程
    t1 = threading.Thread(target=job,args=(1,))
    # 执行子线程
    t1.start()
    # 等待子线程执行
    print("waiting threading")
    t1.join()
    print("threading done")

创建子进程

    # 创建子进程
    p1 = multiprocessing.Process(target=job,args=(1,),name="processing-1")
    # 执行子进程
    p1.start()
    # 等待子进程执行
    p1.join()

创建线程池

    # 创建线程池
    threadPool = ThreadPool(2)
    start = time.time()
    threadPool.map_async(func=job,iterable=(5,5,5,5))
    threadPool.close()
    threadPool.join()
    end = time.time()
    print(end-start)

创建进程池

    # 创建进程池
    threadPool = Pool(2)
    start = time.time()
    threadPool.map_async(func=job, iterable=(5, 5, 5, 5))
    threadPool.close()
    threadPool.join()
    end = time.time()
    print(end - start)

完整代码

import threading
import multiprocessing
import time
from multiprocessing.pool import ThreadPool
from multiprocessing import Pool
import os
def job(a):
    time.sleep(a)
    print(f"sleep: {
     a}")
    print(f"process id is :{
     os.getpid()}")
def test():
    # 创建子线程
    t1 = threading.Thread(target=job,args=(1,))
    # 执行子线程
    t1.start()
    print(t1.ident)
    # 等待子线程执行
    t1.join()
    # 创建子进程
    p1 = multiprocessing.Process(target=job,args=(1,),name="processing-1")
    # 执行子进程
    p1.start()
    # 等待子进程执行
    p1.join()

    # 创建线程池
    threadPool = ThreadPool(2)
    start = time.time()
    threadPool.map_async(func=job,iterable=(5,5,5,5))
    threadPool.close()
    threadPool.join()
    end = time.time()
    print(end-start)

    # 创建进程池
    threadPool = Pool(2)
    start = time.time()
    threadPool.map_async(func=job, iterable=(5, 5, 5, 5))
    threadPool.close()
    threadPool.join()
    end = time.time()
    print(end - start)

if __name__ == '__main__':
    print(f"main processid {
     os.getpid()}")
    test()

线程/进程睡眠情况下，进程池会不会新创建线程?

不会