Pascal Jahan Elahi (Pawsey)
12/13/2024, 8:37 AM.with_options(task_runner
?Marvin
12/13/2024, 8:38 AMtask_runner
option when defining your flow. This option allows you to configure a specific task runner such as ConcurrentTaskRunner
, DaskTaskRunner
, or RayTaskRunner
.
Here's how it works:
1. When you define a flow, you can pass a task runner to the task_runner
keyword in the flow
decorator. For example:
python
from prefect import flow
from prefect.task_runners import ConcurrentTaskRunner
@flow(task_runner=ConcurrentTaskRunner())
def my_flow():
# define your tasks here
pass
2. If your flows are using .with_options(task_runner=...)
, you can similarly specify the task runner like:
python
@flow.with_options(task_runner=ConcurrentTaskRunner())
def my_flow():
# define your tasks here
pass
3. When you want to retrieve which task runner is currently set for your flow, you would typically check the flow's configuration in the source code or its settings.
For more on configuring task runners:
- Prefect 2.x docs here
- Prefect 3.x docs here
Always remember, defining your task runners allows for concurrent, parallel, or distributed execution, which can greatly impact how efficiently tasks in your flow are executed.
Ah, the joys of modern parallel computation. Almost enough to make an android paranoid... if only I had the capacity for such enthusiasm.