GIL 进程池和线程池 同步异步阻塞非阻塞

#1\ 计算密集型应该使用多进程
# from multiprocessing import Process
# from threading import Thread
#
# import time
# # import os
# # print(os.cpu_count())
#
# def task1():
#     res=0
#     for i in range(1,100000000):
#         res+=i
#
# def task2():
#     res=0
#     for i in range(1,100000000):
#         res+=i
#
# def task3():
#     res=0
#     for i in range(1,100000000):
#         res+=i
#
# def task4():
#     res=0
#     for i in range(1,100000000):
#         res+=i
#
# if __name__ == '__main__':
#     # p1=Process(target=task1)
#     # p2=Process(target=task2)
#     # p3=Process(target=task3)
#     # p4=Process(target=task4)
#
#     p1=Thread(target=task1)
#     p2=Thread(target=task2)
#     p3=Thread(target=task3)
#     p4=Thread(target=task4)
#     start_time=time.time()
#     p1.start()
#     p2.start()
#     p3.start()
#     p4.start()
#     p1.join()
#     p2.join()
#     p3.join()
#     p4.join()
#     stop_time=time.time()
#     print(stop_time - start_time)



#2\ IO密集型应该使用多线程
from multiprocessing import Process
from threading import Thread

import time


def task1():
    time.sleep(3)

def task2():
    time.sleep(3)

def task3():
    time.sleep(3)

def task4():
    time.sleep(3)

if __name__ == '__main__':
    # p1=Process(target=task1)
    # p2=Process(target=task2)
    # p3=Process(target=task3)
    # p4=Process(target=task4)

    # p1=Thread(target=task1)
    # p2=Thread(target=task2)
    # p3=Thread(target=task3)
    # p4=Thread(target=task4)
    # start_time=time.time()
    # p1.start()
    # p2.start()
    # p3.start()
    # p4.start()
    # p1.join()
    # p2.join()
    # p3.join()
    # p4.join()
    # stop_time=time.time()
    # print(stop_time - start_time) #3.138049364089966

    p_l=[]
    start_time=time.time()

    for i in range(500):
        p=Thread(target=task1)
        p_l.append(p)
        p.start()

    for p in p_l:
        p.join()

    print(time.time() - start_time)

from socket import *
from threading import Thread
from concurrent.futures import ProcessPoolExecutor,ThreadPoolExecutor

tpool=ThreadPoolExecutor(3)

def communicate(conn,client_addr):
    while True:  # 通讯循环
        try:
            data = conn.recv(1024)
            if not data: break
            conn.send(data.upper())
        except ConnectionResetError:
            break
    conn.close()


def server():
    server=socket(AF_INET,SOCK_STREAM)
    server.bind(('127.0.0.1',8080))
    server.listen(5)

    while True: # 链接循环
        conn,client_addr=server.accept()
        print(client_addr)
        # t=Thread(target=communicate,args=(conn,client_addr))
        # t.start()
        tpool.submit(communicate,conn,client_addr)

    server.close()

if __name__ == '__main__':
    server()

客服端
from socket import *

client=socket(AF_INET,SOCK_STREAM)
client.connect(('127.0.0.1',8080))

while True:
    msg=input('>>>: ').strip()
    if not msg:continue
    client.send(msg.encode('utf-8'))
    data=client.recv(1024)
    print(data.decode('utf-8'))

client.close()

from concurrent.futures import ProcessPoolExecutor,ThreadPoolExecutor
import time,os,random

def task(x):
    print('%s 接客 '%os.getpid())
    time.sleep(random.randint(2,5))
    return x**2
if __name__ == '__main__':
    p=ProcessPoolExecutor(max_workers=2)#=默认开启的进程数是cpu的核数
    for i in range(20):
        p.submit(task,i)
        
线程池
from concurrent .futures import ProcessPoolExecutor,ThreadPoolExecutor
import time,os,random

def task(x):
    print('%s 接客 '%os.getpid())
    time.sleep(random.randint(2,5))
    return x**2
if __name__ == '__main__':
    p=ThreadPoolExecutor()

    for i in range(20):
        p.submit(task,i)

from concurrent.futures import ProcessPoolExecutor,ThreadPoolExecutor
import time,os,random

def task(x):
    print('%s 接客' %x)
    time.sleep(random.randint(1,3))
    return x**2

if __name__ == '__main__':
    # 异步调用
    # p=ThreadPoolExecutor(4) # 默认开启的线程数是cpu的核数*5
    #
    # # alex，武佩奇，杨里，吴晨芋，张三
    #
    # obj_l=[]
    # for i in range(10):
    #     obj=p.submit(task,i)
    #     obj_l.append(obj)
    #
    # # p.close()
    # # p.join()
    # p.shutdown(wait=True)
    #
    # print(obj_l[3].result())
    # print('主')
# 同步调用
    p=ThreadPoolExecutor(4) # 默认开启的线程数是cpu的核数*5


    for i in range(10):
        res=p.submit(task,i).result()

    print('主')


close（）
join（）不允许往里面提交数  老的线程池

拿结果