I'm facing an odd situation while running an Aurora Serverless v2 Postgres DB from a Lambda function and can't seem to pinpoint the issue. We use a `public` schema for shared resources and have customer-specific schemas for each account. While using the Data-API for our execution, I've set the schema for the Lambda session with the command: `SET search_path TO customer1,public;`. This should ideally apply on a per-session basis, adapting based on which customer is logged in. However, I've noticed that sometimes the Lambda retrieves data from the wrong schema, such as `customer2`, which is completely unacceptable! This behavior is intermittent and doesn't happen consistently, making it difficult to troubleshoot. I invoke the `SET search_path` command right in the handler function as the Lambda starts, but the problem still arises. Any ideas on what I might be missing?
2 Answers
It sounds like you're running into an issue with Lambda's environment reuse. When a Lambda function is invoked, sometimes the environment can stick around and retain previous configurations. Each time you run the function, you really should be setting up those customer-specific settings inside the handler, not just in any initialization code. This is because Lambda instances can hang around for a while before being completely destroyed.
Make sure to also handle DB connections carefully; assume they might be lost during this suspended state.
Definitely a tricky situation! If you're invoking the `SET search_path` in the handler function, it should ideally apply it each time. However, you might want to add extra debug logging to track your schema settings during the Lambda runs. It could help reveal if there's an underlying caching issue or if connections are being reused improperly.
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