python 简单实现线程 线程池实现多线程 指定多线程个数

from multiprocessing.pool import ThreadPool
import time
# 指定10个线程实现
pool = ThreadPool(10)

# 要去执行的函数
def login(a):
    print(a)
    time.sleep(2)

# 要传入的参数
users = ['a', 'b', 3, 4, 5, 6, 7, 8, 9, 10]
pool.map(lambda u: login(u), users)
pool.join()

# 请求第三方接口的demo
#!/usr/bin/env python
# -*- coding: utf-8 -*-

from multiprocessing.pool import ThreadPool
import time

from image.describe_images import DescribeImagesClass
from util.get_regions import get_region_id_list


def main(region_id):
    result = {}
    start = time.time()
    pool = ThreadPool(18)
    # 第三方放接口
    region_id_list = get_region_id_list()

    if region_id_list:
        desc_images_obj = DescribeImagesClass(region_id=region_id)
        # desc_images_obj.get_image_id_list(region) 第三方接口
        pool.map(lambda region: result.update({region: desc_images_obj.get_image_id_list(region)}), region_id_list)
        end = time.time()
        print(result)
        # 0.6
        print(end-start)



第二种实现
def main1(region_id):
    result = {}
    start = time.time()
    pool = ThreadPool(1)
    region_id_list = get_region_id_list()
    print(region_id_list)
    print(len(region_id_list))
    if region_id_list:
        desc_images_obj = DescribeImagesClass(region_id=region_id)
        for region in region_id_list:
            # 执行异步任务
            image_id_list = pool.apply_async(desc_images_obj.get_image_id_list, args=(region,))
            # 获取 结果
            a = image_id_list.get()
            result.update({region: a})
        end = time.time()
        print(result)
        print(len(result.keys()))
        # 4.5s
        print(end-start)