@Marvin How do I use .map in Prefect 3 to concurrently run async tasks?

In Prefect 3.x, you can use the

.map

method to run tasks concurrently, even if they are asynchronous. Here's a basic outline of how you can achieve this: 1. Define an Asynchronous Task: Use the

@task

decorator to define your async function as a Prefect task. 2. Map the Task: Use the

.map

method on your task to execute it concurrently over a collection of inputs. Here's a simple example:

python
from prefect import task, flow

@task
async def my_async_task(x):
    # Simulate an async operation
    return x + 1

@flow
async def my_flow():
    results = await my_async_task.map([1, 2, 3])
    for result in results:
        print(result)

my_flow()

- Execution: The

my_async_task.map([1, 2, 3])

part will run

my_async_task

concurrently for each element in the list

[1, 2, 3]

. - Awaiting Results: Use

await

to ensure that the asynchronous tasks complete before proceeding. For more detailed information, you can refer to Prefect's tasks.py documentation. If you need to explore more about Prefect's top-level API, you can review it here.