Pascal Jahan Elahi (Pawsey)
01/09/2025, 9:01 AMasync
and asyncio.gather
but I am not able to get flows to run concurrently. Any suggestions?Marvin
01/09/2025, 9:01 AMasync
and asyncio.gather
, flows are higher-level constructs and their concurrency is managed by Prefect's orchestration layer.
To run multiple flows concurrently, you can utilize Prefect's work queues and concurrency limits. Here's a general approach:
1. Work Queues and Concurrency Limits: You can define work queues with different concurrency limits to control how many flow runs can be executed concurrently. For example, you can create queues with different priorities and concurrency limits to manage the execution order and concurrency of your flows. Learn more about work queues.
2. Flow Definition and Execution: Flows in Prefect are defined as Python functions decorated with @flow
. These functions can encapsulate tasks and orchestrate their execution. While Prefect does not natively support running multiple flows concurrently in the same process, you can schedule them to run concurrently in separate processes or environments using Prefect's scheduling capabilities. Learn more about flows.
3. Prefect API: You can use Prefect's API to manage flow runs, including pausing, resuming, and suspending flows if needed. This can be useful for orchestrating complex workflows where certain flows need to wait for others to complete.
If you're looking to run flows in a truly concurrent manner, consider deploying them in a distributed environment where Prefect can manage the execution across multiple workers or agents.
For your specific use case, you might need to explore Prefect's deployment and scheduling features to achieve the level of concurrency you desire. If you have more specific requirements or constraints, feel free to share them!Pascal Jahan Elahi (Pawsey)
01/09/2025, 9:10 AMMarvin
01/09/2025, 9:10 AM