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Schedule a DAG via Python

You've learned quite a bit about creating DAGs, but now you would like to schedule a specific DAG on a specific day of the week at a certain time. You'd like the code include this information in case a colleague needs to reinstall the DAG to a different server.

The Airflow DAG object and the appropriate datetime methods have been imported for you.

Questo esercizio fa parte del corso

Introduction to Apache Airflow in Python

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Istruzioni dell'esercizio

  • Set the start date of the DAG to November 1, 2023.
  • Configure the retry_delay to 20 minutes. You will learn more about the timedelta object in Chapter 3. For now, you just need to know it expects an integer value.
  • Use the cron syntax to configure a schedule of every Wednesday at 12:30pm.

Esercizio pratico interattivo

Prova a risolvere questo esercizio completando il codice di esempio.

# Update the scheduling arguments as defined
default_args = {
  'owner': 'Engineering',
  'start_date': datetime(____, ____, ____),
  'email': ['[email protected]'],
  'email_on_failure': False,
  'email_on_retry': False,
  'retries': 3,
  'retry_delay': timedelta(minutes=____)
}

dag = DAG('update_dataflows', default_args=default_args, schedule_interval='____')
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