<@ULVA73B9P> using the prefect-sqlalchemy package ...
# ask-marvin
b
@Marvin using the prefect-sqlalchemy package where I have a block already defined for accessing SQL Server, how can I query very large datasets and stream it Snowflake while keeping memory and storage usage in check.
m
Error: Event loop is closed
Sorry, I encountered an error while processing your request. Please try again.
n
will find out what i did here and fix!
b
@Marvin please try again
m
thought for 14.6 seconds
I don’t have the earlier context in this thread—what would you like me to try again? If you’re troubleshooting something in Prefect, please share: - What you’re trying to do (e.g., deploy a flow, run a worker, configure storage) - Prefect version (2.x or 3.x), OS, and Python version - The exact command or code you ran - Full error/traceback or a link to the flow run in the UI - Any relevant config (work pool/worker type, storage, blocks, infra) If you want me to re-check a CLI command, I can validate it against
--help
. If you want me to re-review code, paste the snippet and I’ll suggest fixes.
n
oh yea i accidentally broke marvin yesterday sorry
might have to restate question
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