Nicholas Andonakis
01/31/2024, 5:26 AMMarvin
01/31/2024, 5:27 AMpython -m your_flow_script
. This will execute the flow on your computer without deploying it to a work pool, meaning you do not need to run an agent or worker to trigger the flow run.
4. Prefect UI: If you are connected to Prefect Cloud or have Prefect UI running locally, you can monitor your flow run and see the metadata logs for visualization.
5. Starting an Agent: If you are deploying your flow to a local server (work pool), you will need to start a Prefect agent on your local machine that will pick up flow runs and execute them.
For further detail and examples, you can refer to the Prefect documentation here. Please note that the exact commands and configuration may differ based on your specific environment and version of Prefect 2.x.Bring your towel and join one of the fastest growing data communities. Welcome to our second-generation open source orchestration platform, a completely rethought approach to dataflow automation.
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