推荐学习书目
› Learn Python the Hard Way
Python Sites
› PyPI - Python Package Index
› http://diveintopython.org/toc/index.html
› Pocoo
值得关注的项目
› PyPy
› Celery
› Jinja2
› Read the Docs
› gevent
› pyenv
› virtualenv
› Stackless Python
› Beautiful Soup
› 结巴中文分词
› Green Unicorn
› Sentry
› Shovel
› Pyflakes
› pytest
Python 编程
› pep8 Checker
Styles
› PEP 8
› Google Python Style Guide
› Code Style from The Hitchhiker's Guide
这是一个创建于 1256 天前的主题，其中的信息可能已经有所发展或是发生改变。
看到此贴 2021 年了，requests 内存泄露的问题解决了吗？如果没解决，怎么解决？ ， 便去测试了下
from concurrent.futures import ThreadPoolExecutor, wait, ALL_COMPLETED
import requests
from memory_profiler import profile
s = requests.Session()
def get(i):
s.get('URL')
@profile
def test():
executor = ThreadPoolExecutor(max_workers = 100)
task = [executor.submit(get, (i)) for i in range(5000)]
wait(task, return_when = ALL_COMPLETED)
s.close()
if __name__ == '__main__':
test()
5000 任务，116.3 MB
Line # Mem usage Increment Occurences Line Contents
============================================================
10 25.6 MiB 25.6 MiB 1 @profile
11 def test():
12 25.6 MiB 0.0 MiB 1 executor = ThreadPoolExecutor(max_workers = 100)
13 115.9 MiB 90.3 MiB 5003 task = [executor.submit(get, (i)) for i in range(5000)]
14 116.3 MiB 0.3 MiB 1 wait(task, return_when = ALL_COMPLETED)
500 任务 10 次，141.3 MB，逐渐增长
Line # Mem usage Increment Occurences Line Contents
============================================================
10 25.7 MiB 25.7 MiB 1 @profile
11 def test():
12 25.7 MiB 0.0 MiB 1 executor = ThreadPoolExecutor(max_workers = 100)
13 94.8 MiB 69.1 MiB 503 all_task = [executor.submit(get, (i)) for i in range(500)]
14 106.2 MiB 11.4 MiB 1 wait(all_task, return_when=ALL_COMPLETED)
15 109.6 MiB 3.4 MiB 503 all_task = [executor.submit(get, (i)) for i in range(500)]
16 111.7 MiB 2.1 MiB 1 wait(all_task, return_when=ALL_COMPLETED)
17 114.3 MiB 2.6 MiB 503 all_task = [executor.submit(get, (i)) for i in range(500)]
18 115.8 MiB 1.5 MiB 1 wait(all_task, return_when=ALL_COMPLETED)
19 120.0 MiB 4.1 MiB 503 all_task = [executor.submit(get, (i)) for i in range(500)]
20 121.0 MiB 1.0 MiB 1 wait(all_task, return_when=ALL_COMPLETED)
21 124.1 MiB 3.1 MiB 503 all_task = [executor.submit(get, (i)) for i in range(500)]
22 124.6 MiB 0.5 MiB 1 wait(all_task, return_when=ALL_COMPLETED)
23 126.7 MiB 2.1 MiB 503 all_task = [executor.submit(get, (i)) for i in range(500)]
24 127.4 MiB 0.8 MiB 1 wait(all_task, return_when=ALL_COMPLETED)
25 130.5 MiB 3.1 MiB 503 all_task = [executor.submit(get, (i)) for i in range(500)]
26 131.8 MiB 1.3 MiB 1 wait(all_task, return_when=ALL_COMPLETED)
27 135.2 MiB 3.4 MiB 503 all_task = [executor.submit(get, (i)) for i in range(500)]
28 136.7 MiB 1.5 MiB 1 wait(all_task, return_when=ALL_COMPLETED)
29 137.7 MiB 1.0 MiB 503 all_task = [executor.submit(get, (i)) for i in range(500)]
30 138.0 MiB 0.3 MiB 1 wait(all_task, return_when=ALL_COMPLETED)
31 139.8 MiB 1.8 MiB 503 all_task = [executor.submit(get, (i)) for i in range(500)]
32 141.3 MiB 1.5 MiB 1 wait(all_task, return_when=ALL_COMPLETED)
33 141.3 MiB 0.0 MiB 1 s.close()
 |
1
joApioVVx4M4X6Rf 2021-06-18 07:59:48 +08:00
requests 的 session 是非线程安全的，这么用似乎也不太对
|
 |
2
ospider 2021-06-18 09:21:40 +08:00
requests 就是个内存泄漏的坑爹货，建议尽早划成 httpx
|
 |
3
warcraft1236 2021-06-18 11:22:33 +08:00
@ospider requests 为啥会有内存泄漏呢？
|
 |
4
Multicom OP @ospider 将 requests.Session() 更换为 httpx.Client() ，内存占用降低，但仍持续增长
``` Line # Mem usage Increment Occurences Line Contents ============================================================ 10 25.2 MiB 25.2 MiB 1 @profile 11 def test(): 12 25.2 MiB 0.0 MiB 1 executor = ThreadPoolExecutor(max_workers = 100) 13 28.2 MiB 3.1 MiB 503 task = [executor.submit(get, (i)) for i in range(500)] 14 28.5 MiB 0.3 MiB 1 wait(task) 15 28.8 MiB 0.3 MiB 503 task = [executor.submit(get, (i)) for i in range(500)] 16 28.8 MiB 0.0 MiB 1 wait(task) 17 29.0 MiB 0.3 MiB 503 task = [executor.submit(get, (i)) for i in range(500)] 18 31.3 MiB 2.3 MiB 1 wait(task) 19 31.6 MiB 0.3 MiB 503 task = [executor.submit(get, (i)) for i in range(500)] 20 35.9 MiB 4.3 MiB 1 wait(task) 21 35.9 MiB 0.0 MiB 503 task = [executor.submit(get, (i)) for i in range(500)] 22 39.0 MiB 3.0 MiB 1 wait(task) 23 39.2 MiB 0.3 MiB 503 task = [executor.submit(get, (i)) for i in range(500)] 24 41.0 MiB 1.8 MiB 1 wait(task) 25 41.0 MiB 0.0 MiB 503 task = [executor.submit(get, (i)) for i in range(500)] 26 43.8 MiB 2.8 MiB 1 wait(task) 27 43.8 MiB 0.0 MiB 503 task = [executor.submit(get, (i)) for i in range(500)] 28 45.8 MiB 2.0 MiB 1 wait(task) 29 45.8 MiB 0.0 MiB 503 task = [executor.submit(get, (i)) for i in range(500)] 30 48.1 MiB 2.3 MiB 1 wait(task) 31 48.1 MiB 0.0 MiB 503 task = [executor.submit(get, (i)) for i in range(500)] 32 49.4 MiB 1.3 MiB 1 wait(task) 33 49.4 MiB 0.0 MiB 1 s.close() ``` |
Select Language