Handling Connection Timeout with SQLAlchemy in a Flask Application using PostgreSQL
I keep running into I've been struggling with this for a few days now and could really use some help... I'm sure I'm missing something obvious here, but I'm working with a connection timeout scenario when trying to connect to my PostgreSQL database using SQLAlchemy in my Flask application. The application runs fine in a local environment but times out when deployed to Heroku. The behavior I receive is: `sqlalchemy.exc.OperationalError: (psycopg2.OperationalError) timeout expired`. I've tried increasing the connection timeout settings in my SQLAlchemy URI, but it doesn't seem to have any effect. Here's the connection string I'm using: ```python app.config['SQLALCHEMY_DATABASE_URI'] = 'postgresql://username:password@hostname:port/dbname?connect_timeout=10' ``` I've also set ```python app.config['SQLALCHEMY_POOL_TIMEOUT'] = 30 app.config['SQLALCHEMY_POOL_RECYCLE'] = 1800 ``` However, the timeout still occurs when trying to perform a query, especially under load. When I inspect the logs on Heroku, I see that the database connection is established, but then it fails to respond in time. Is there anything specific to Heroku's PostgreSQL settings that I should be aware of? I've also considered switching to a connection pool, but I'm unsure how to implement that effectively within Flask using SQLAlchemy. Any guidance on how to troubleshoot this scenario or improve connection handling would be greatly appreciated! This is part of a larger API I'm building. I'd really appreciate any guidance on this. Any help would be greatly appreciated! I'm developing on Windows 10 with Python.