@Marvin I'm running a pipeline of sqlalchemy-orm inserts/updates/deletes. The first crud operation (a bulk-update) in last task fails with an sqlalchemy 'NoReferencedColumnError'. If I copy the python-code of the task into a notebook and run the logic of the task without using prefect, everything goes smooth without an error. Any Idea wether prefect might contribute to my problem and how?

It seems that there is no direct information about Prefect causing a

NoReferencedColumnError

in SQLAlchemy, nor are there any open related GitHub issues. However, differences in the execution environment between your local notebook and your Prefect flow could potentially contribute to this issue. Here are a few steps you might consider to troubleshoot the problem: 1. Execution Environment: Ensure that your Prefect flow execution environment matches your notebook's environment, including the installed package versions (especially SQLAlchemy and database-related packages). 2. Database Sessions: Prefect might handle database sessions differently than your notebook. Ensure you're managing your SQLAlchemy sessions correctly within your task. This might include properly opening and closing database connections, as well as handling transactions and rollbacks. 3. Concurrency: Prefect tasks might be running concurrently, which can affect database operations. Verify that your database transactions properly handle conflicts and do not rely on a state that could be changed by another concurrent task. 4. Task Logic: Review the task logic for any Prefect-specific constructs or decorators that could interfere with normal execution. Ensure that your task is written in a way that's compatible with Prefect's flow and task runners. 5. Logging: Implement detailed logging in your Prefect task to capture the state and context right before the point where the error occurs. This will help you identify if Prefect is changing anything in the SQLAlchemy context or if the problem lies in the data being processed. If you are using the Prefect SQLAlchemy integration, ensure that you have configured your

DatabaseCredentials

and other parameters correctly as demonstrated in the Prefect SQLAlchemy documentation here. Without specific code or error messages, it's challenging to pinpoint the issue further. If you can isolate the behavior to something that Prefect might be affecting, consider reaching out on Prefect community channels for more advice.