python多进程concurrent.futures.ProcessPoolExecutor使用方法示例

from datetime import datetime
from time import sleep
from concurrent.futures import ProcessPoolExecutor

# from helper.time_helper import calc_time


# @calc_time
def func1(name='xiaohong', age=18):
    print(u'方法已被调用')
    sleep(2)
    print(f'{name}今年{age}岁...')
    return name


if __name__ == '__main__':
    s_date = datetime.now()
    # 构造任务参数列表
    tasks = [['xiaohong', 12], ['xiaohuang', 13], ['xiaolv', 14]]
    with ProcessPoolExecutor(max_workers=5) as pool:
        # 如果需要传参，直接将参数列表放在pool.submit()方法第二、三个参数，往后排就好，submit接收多个参数，*args和**kwargs
        results = [pool.submit(func1, tasks[i][0], tasks[i][1]) for i in range(len(tasks))]
        # print(results)
        # print(type(results))
        # print(help(results))
        for res in results:
            # 获取多任务执行的函数的返回结果
            print(res.result())
            print(res.done())
    f_date = datetime.now()
    print(f'多任务耗时：{f_date - s_date}')

简单明了，一看就懂