@Marvin how do i run multiple subflows in paralel

Running multiple subflows in parallel in Prefect 3.x can be achieved using the

async

capabilities of Python, which Prefect supports. To execute subflows concurrently, you can define your subflows as tasks and use Python's asynchronous features to run them in parallel. Here's a basic example to illustrate this:

python
from prefect import flow, task
import asyncio

@task
async def subflow_task(name):
    # Simulate some work
    await asyncio.sleep(1)
    return f"Subflow {name} completed"

@flow
async def main_flow():
    # Define subflows
    subflows = [subflow_task(name) for name in ['A', 'B', 'C']]
    
    # Run subflows in parallel
    results = await asyncio.gather(*subflows)
    print(results)

if __name__ == "__main__":
    main_flow()

In this example,

asyncio.gather

is used to run

subflow_task

instances concurrently. Each subflow is defined as an asynchronous task, allowing them to execute in parallel. This approach leverages Python's

asyncio

library, which is well-suited for I/O-bound and high-level structured network code. You can find more details and examples in the Prefect documentation.