How to set dependencies between DAGs in Airflow?

Question

I am using Airflow to schedule batch jobs. I have one DAG (A) that runs every night and another DAG (B) that runs once per month. B depends on A having completed successfully. However B takes a long time to run and so I would like to keep it in a separate DAG to allow better SLA reporting.

How can I make running DAG B dependent on a successful run of DAG A on the same day?

Answer 1

It looks like a TriggerDagRunOperator can be used as well, and you can use a python callable to add some logic. As explained here : https://www.linkedin.com/pulse/airflow-lesson-1-triggerdagrunoperator-siddharth-anand

Answer 2

You can achieve this behavior using an operator called ExternalTaskSensor. Your task (B1) in DAG(B) will be scheduled and wait for a success on task (A2) in DAG(A)

External Task Sensor documentation