implementing Memory Leak in Python 3.9 with asyncio and aiohttp
I'm trying to implement I'm testing a new approach and I'm testing a new approach and I'm not sure how to approach I'm stuck on something that should probably be simple... I'm experiencing a memory leak in my Python 3.9 application that uses `asyncio` and `aiohttp`. The application fetches data from multiple APIs concurrently, and I'm noticing that the memory usage keeps increasing over time. I tried using `tracemalloc` to track memory allocations, but I'm not sure how to pinpoint where the leak is occurring. Below is a simplified version of my code that demonstrates the question: ```python import asyncio import aiohttp async def fetch(session, url): async with session.get(url) as response: return await response.json() async def main(urls): async with aiohttp.ClientSession() as session: tasks = [fetch(session, url) for url in urls] return await asyncio.gather(*tasks) if __name__ == "__main__": urls = ["https://jsonplaceholder.typicode.com/posts/1"] * 1000 result = asyncio.run(main(urls)) print(result) ``` Initially, I tried limiting the number of concurrent requests by using `asyncio.Semaphore`, but it didn't help much with memory usage. I also ensured to close the session and response objects correctly. After running the code for a while, I checked my system's memory usage and saw that it was climbing steadily, which led me to believe there's an uncollected garbage or a circular reference somewhere. Here’s the output from `tracemalloc` that indicates high memory allocation repeatedly in the `aiohttp` library, particularly when it tries to encode JSON responses. I’m uncertain if it’s a configuration scenario, a question with how I'm using `aiohttp`, or something else entirely. Any advice on how to diagnose and resolve this memory leak would be greatly appreciated! What's the best practice here? This is my first time working with Python 3.11. Cheers for any assistance! Any examples would be super helpful. I'm working in a Ubuntu 22.04 environment. This is happening in both development and production on Linux. I'd be grateful for any help. This is my first time working with Python 3.10. Thanks, I really appreciate it!