I'm having trouble with my AWS Lambda function that connects to RDS PostgreSQL. It works fine on the first try, but when the Lambda container is reused for subsequent executions, it throws a "connection already closed" error. I'm using Python 3.12 in a containerized setup with a timeout of 300 seconds, and my Lambda function is configured to run inside a VPC with RDS PostgreSQL Aurora Serverless. I open a new connection each time I invoke the function, but it seems like that connection is not valid on the second execution. Has anyone figured out how to manage Lambda and RDS PostgreSQL connection reuse? Any help would be appreciated!
3 Answers
It's important to remember that opening database connections can be expensive. In Lambda, your function runs in a stateless environment, and sometimes the connections don't persist as you expect. Consider implementing some sort of management for your connections, like using RDS Proxy.
Lambda should maintain its state for a short time, but connections can still time out or close unexpectedly. Make sure you’re handling connections correctly in your code. If you're opening a new connection with every invocation, it might quickly exhaust the database connection limit, especially under high load.
One solution is to use RDS Proxy. It can help manage connections more effectively. You could also move your connection logic outside of the handler function to make sure it's established before the actual request starts.
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