学习日记0910线程池与进程池 同步调用与异步调用 函数回调

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

def task(name):
    print(‘%s:%s‘ % (name, os.getpid()))
    time.sleep((random.randint(1, 3)))
    return 123


if __name__ == ‘__main__‘:
    p = ProcessPoolExecutor(4)
    for i in range(10):
        res = p.submit(task,‘同步调用‘).result()
        print(res)
    p.shutdown(wait=True)

    print(‘主函数‘)

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


def task(name):
    print(‘%s:%s‘ % (name, os.getpid()))
    time.sleep((random.randint(1, 3)))
    return 123


def re_task(future):
    time.sleep(1)
    print(‘函数task的运行结果是%s:%s‘ % (future.result(), os.getpid()))


if __name__ == ‘__main__‘:
    p = ProcessPoolExecutor(4)
    for i in range(10):
        future = p.submit(task, ‘pid‘)
        future.add_done_callback(re_task)  # 函数回调的代码,实现的是将future对象传递给re_task函数,实现了函数之间的解耦合
    p.shutdown(wait=True)

    print(‘zhu‘)

from concurrent.futures import ThreadPoolExecutor
from threading import current_thread
import time,random

def task(name):
    print(‘%s:%s‘ % (name, current_thread().name))
    time.sleep((random.randint(1, 3)))
    return 123

if __name__ == ‘__main__‘:
    t = ThreadPoolExecutor(4)
    for i in range(10):
        res = t.submit(task,‘pid‘).result()
        print(res)
    t.shutdown(wait=True)
    print(‘zhu‘)

from concurrent.futures import ThreadPoolExecutor
from threading import current_thread
import time,random

def task(name):
    print(‘%s:%s‘ % (name, current_thread().name))
    time.sleep((random.randint(1, 3)))
    return 123

def re_task(future):
    time.sleep(1)
    print(‘函数task的运行结果是%s:%s‘ % (future.result(), current_thread().name))


if __name__ == ‘__main__‘:
    t = ThreadPoolExecutor(4)
    for i in range(10):
        future = t.submit(task,‘pid‘)
        future.add_done_callback(re_task)
    t.shutdown(wait=True)
    print(‘主线程!‘)