Kaleb King
03/12/2025, 6:10 PMMarvin
03/12/2025, 6:10 PMbash
python task_worker.py
2. Submit Multiple Tasks: Modify your task submission script to send multiple tasks to the workers. Here's a basic example of how you might do this:
python
from tasks import my_background_task
if __name__ == "__main__":
my_background_task.delay("Ford")
my_background_task.delay("Prefect")
my_background_task.delay("Slartibartfast")
3. Observe Parallel Execution: By submitting tasks to multiple workers, you can observe them executing in parallel, allowing for efficient task management.
For more details, you can refer to the Prefect background task examples.
Additionally, you can explore Prefect's top-level API, which includes functions like flow
and task
, to better understand how to structure your tasks and flows for parallel execution.
If you have any specific questions or need further assistance, feel free to ask.Kaleb King
03/12/2025, 6:42 PMMarvin
03/12/2025, 6:42 PM@task
decorator to specify a name for each task. You can customize the task name by using a function or variable within the decorator. Here's a concise example:
python
from prefect import flow, task
@task(name=lambda: f"MyDynamicTask-{some_variable}")
def my_task(x):
return x * 2
@flow
def my_flow():
result = my_task(5)
print(result)
some_variable = "Example"
my_flow()
In this example, the task name is dynamically generated using a lambda function that incorporates the some_variable
. You can adjust the logic within the lambda to fit your specific naming needs.
For more details on writing tasks, you can refer to the Prefect documentation on writing tasks.
If you have further questions or need additional assistance, feel free to ask.