How to handle async MySQL connections with aiomysql in Python 3.10 for high concurrency?
I'm testing a new approach and After trying multiple solutions online, I still can't figure this out. I'm working on a web application using FastAPI and aiomysql to handle asynchronous MySQL connections in Python 3.10... I have a situation where I need to execute multiple database queries concurrently, but I keep running into issues with connection timeouts and resource exhaustion when the traffic spikes. Specifically, I get the following behavior: `aiomysql.err.OperationalError: (1040, "Too many connections")`. I've tried increasing the MySQL `max_connections` setting, but it hasn't resolved the question. Here's a simplified version of my connection setup: ```python import aiomysql from fastapi import FastAPI, Depends app = FastAPI() async def get_db(): conn = await aiomysql.connect(host='localhost', port=3306, user='user', password='password', db='test_db') try: yield conn finally: conn.close() @app.get("/items/{item_id}") async def read_item(item_id: int, db=Depends(get_db)): async with db.cursor() as cur: await cur.execute("SELECT * FROM items WHERE id = %s", (item_id,)) result = await cur.fetchone() return result ``` I suspect it might have to do with the way I'm managing the database connections, but I'm not sure how to optimize it for better performance under load. Additionally, I tried using connection pooling, but I couldn't figure out how to implement it correctly with aiomysql. Can anyone provide guidance on best practices for managing async MySQL connections in a high-concurrency environment using Python 3.10? My development environment is Ubuntu. Is there a better approach? Thanks in advance! This is for a desktop app running on macOS. Any advice would be much appreciated.