How do you handle retries in Airflow?

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In Airflow, retries are handled using

 parameters in the task definition. Each task can be configured with retries (number of retry attempts) and retry_delay (time interval between retries). For example:

PythonOperator(

    task_id="my_task",

    python_callable=my_function,

    retries=3,

    retry_delay=timedelta(minutes=5)

Here, the task will retry three times with a five-minute gap after each failure. You can also use retry_exponential_backoff=True to increase the delay exponentially, preventing overloading resources. Additionally, max_retry_delay sets an upper bound for backoff delay. Retries apply only to failed tasks, and if the limit is reached, the task is marked as failed, potentially triggering downstream failure logic or alerts.

If you want, I can give you a visual retry flow diagram for Airflow. Would you like that?

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