Pascal Jahan Elahi (Pawsey)
01/20/2025, 3:39 AMMarvin
01/20/2025, 3:39 AMasyncio.create_task
with task.submit()
and asyncio.wait
, you'll need to handle Prefect's asynchronous task execution and Python's asyncio capabilities. Here’s a concise guide on how to achieve that:
1. Submit the Task: Use task.submit()
to submit your task. This returns a future object that you can work with asynchronously. The submit
function can take parameters and dependencies.
2. Create an Async Task: Use asyncio.create_task()
to create a task from the future's coroutine. This is necessary to integrate with the asyncio event loop.
3. Use asyncio.wait: Finally, you can use asyncio.wait()
to wait for the completion of the asyncio tasks you've created.
Here's a simple example:
python
import asyncio
from prefect import task, flow
@task
async def my_task(x):
return x * 2
@flow
async def my_flow():
# Submit the task
future = my_task.submit(10)
# Create an asyncio task
async_task = asyncio.create_task(future.result())
# Wait for the task to complete
done, pending = await asyncio.wait([async_task])
for task in done:
print(task.result())
asyncio.run(my_flow())
### Key Points:
- Prefect Future: task.submit()
returns a future object that can be awaited.
- Asyncio Integration: Use asyncio.create_task
to manage the future within an asyncio context.
- Waiting: asyncio.wait
allows you to wait for multiple asyncio tasks.
For more details, you can refer to the Prefect Task Runners documentation.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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