implementing Memory Leaks in Python 3.11 using Flask with SQLAlchemy ORM
I've been struggling with this for a few days now and could really use some help. Quick question that's been bugging me - I'm relatively new to this, so bear with me. I've looked through the documentation and I'm still confused about I'm experiencing a memory leak in my Flask application that uses SQLAlchemy as its ORM... After running the application for some time, I'm noticing a important increase in memory usage, which does not seem to drop even after requests have completed. I've confirmed that I'm using Python 3.11 and have set the Flask debugging mode to off. I've also been profiling memory usage with `objgraph` and `tracemalloc`, which indicates that many objects, particularly session instances, are not being garbage collected as expected. Here's a simplified version of my code: ```python from flask import Flask, request, jsonify from flask_sqlalchemy import SQLAlchemy app = Flask(__name__) app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///test.db' db = SQLAlchemy(app) class User(db.Model): id = db.Column(db.Integer, primary_key=True) username = db.Column(db.String(80), unique=True, nullable=False) @app.route('/add_user', methods=['POST']) def add_user(): username = request.json.get('username') user = User(username=username) db.session.add(user) db.session.commit() return jsonify({'message': 'User added'}), 201 if __name__ == '__main__': app.run() ``` In my application, I also use a caching mechanism with Flask-Caching, which is set to use `SimpleCache` for testing purposes. However, I've tried disabling the cache, and the memory leak continues. I'm calling `db.session.remove()` at the end of each request to ensure that the session is properly closed, but it doesn't seem to be resolving the scenario. I’ve tried using `gc.collect()` to force garbage collection after each request, but to no avail. Profiling shows that objects related to the session are still being held in memory. Has anyone faced a similar scenario, or does anyone have insights on how to troubleshoot and resolve memory leaks in a Flask application using SQLAlchemy? Any advice or tips would be greatly appreciated! For context: I'm using Python on Linux. My development environment is Ubuntu. What am I doing wrong? Is there a simpler solution I'm overlooking? This is happening in both development and production on Linux. Is this even possible?