Pascal Jahan Elahi (Pawsey)
03/25/2025, 8:23 AMMarvin
03/25/2025, 8:23 AMDaskTaskRunner
for flows within a class in Prefect 3.x, you can follow these steps:
1. Define Your Class and Flows: Create a class and define your flows using the @flow
decorator. You can set the task_runner
parameter dynamically.
2. Initialize the DaskTaskRunner: When you instantiate your class, you can choose to initialize the DaskTaskRunner
and pass it to the flow.
Here's a basic example to illustrate:
python
from prefect import flow
from prefect_dask.task_runners import DaskTaskRunner
class MyFlowClass:
def __init__(self, use_dask: bool = False):
self.task_runner = DaskTaskRunner() if use_dask else None
@flow
def my_flow(self):
# Your flow logic here
pass
def run_flow(self):
# Run the flow with the specified task runner
self.my_flow(task_runner=self.task_runner)
# Usage
my_flow_instance = MyFlowClass(use_dask=True)
my_flow_instance.run_flow()
### Key Points:
- Dynamic Task Runner: By setting use_dask
to True
, you initialize the DaskTaskRunner
and pass it to the flow when calling run_flow()
.
- Flexible Design: This design allows you to decide at runtime whether to use Dask for task execution.
### Additional Resources:
- Prefect Flows Documentation
- Prefect Dask Integration
This approach should align well with your preference for imperative programming. If you have further questions or need more specific implementations, feel free to ask.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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