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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.

Airflow DAG

Diese Übung ist Teil des Kurses

Designing Forecasting Pipelines for Production

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Anleitung zur Übung

  • Set the API check pipeline and check status tasks.
  • Set the data validation pipeline tasks.
  • Set the forecast pipeline tasks.

Interaktive Übung

Vervollständige den Beispielcode, um diese Übung erfolgreich abzuschließen.

# 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")
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