Defining pipeline execution order
After building your DAG, it's time to define the order of execution for the DAG's tasks.
In the previous exercise, you set up the first task to check the API. All the other tasks from the pipeline are set up for you.
You need to follow the order of tasks from the diagram below.
この演習はコースの一部です
Designing Forecasting Pipelines for Production
演習の手順
- Set the API check pipeline and check status tasks.
- Set the data validation pipeline tasks.
- Set the forecast pipeline tasks.
実践的なインタラクティブ演習
このサンプルコードを完成させて、この演習に挑戦してみましょう。
# Set the API check pipeline tasks
____ >> ____ >> [data_refresh, no_updates]
data_refresh >> [data_validation, data_failure]
# Set the data validation pipeline tasks
data_validation >> check_validation >> [____, ____]
# Set the forecast pipeline tasks
data_valid >> ____ >> ____
print(f"DAG '{dag.dag_id}' ready with {len(dag.tasks)} tasks")