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)
python 简单实现线程 线程池实现多线程 指定多线程个数
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转载自blog.csdn.net/weixin_42174361/article/details/80915278
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