Running Airflow DAG Only If Another DAG Is Successful

Running Airflow DAG Only If Another DAG Is Successful AI News, AI, AI tools, Giorgos Myrianthous, Innovation, itinai.com, LLM, t.me/itinai, Towards Data Science - Medium **🚀 Practical AI Solutions for Middle Managers 🚀** 🔗 **Using Airflow Sensors to Control the Execution of DAGs on a Different Schedule** Coordinating two Airflow DAGs to ensure the hourly DAG runs only if the daily DAG has been successful is crucial for efficient data processing. **Use Case: Running the Hourly DAG Only if the Daily DAG Succeeded** In our scenario, the goal is to have the hourly DAG run only if the daily DAG has executed successfully on the same day. We want to maintain separate schedules for both DAGs and add a condition to the hourly DAG based on the daily DAG's success. **How to Skip Tasks in Airflow DAGs** We'll explore three methods to achieve this coordination: using the ExternalTaskSensor with execution_delta, using the ExternalTaskSensor with execution_date_fn, and a customized approach with PythonOperator. Each method provides practical insights for implementation. **Using ExternalTaskSensor** The built-in ExternalTaskSensor operator offers a straightforward solution. By incorporating this sensor in the hourly DAG, we can check if the daily DAG has been successful within the specified interval. **Using PythonOperator** For a more tailored approach, we can programmatically determine the latest successful DagRun of the daily DAG and adjust the operator's behavior accordingly. This allows us to skip tasks if the conditions are not met. **Final Thoughts** Today's tutorial emphasized the importance of managing dependencies between different DAGs in Airflow. By ensuring the hourly DAG runs only when the daily DAG succeeds, we can streamline data processing and maintain a reliable workflow. **Unlock the Power of AI for Your Company** Embrace AI to stay competitive and revolutionize your operations. Leverage practical AI solutions to identify automation opportunities, define KPIs, select suitable AI solutions, and implement them gradually. For AI KPI management advice and continuous insights into leveraging AI, connect with us at hello@itinai.com. Stay updated on our Telegram or Twitter for the latest AI advancements. **Spotlight on a Practical AI Solution** Explore the AI Sales Bot from itinai.com/aisalesbot, designed to automate customer engagement 24/7 and manage interactions across all customer journey stages. Discover how AI can redefine your sales processes and customer engagement. **Useful Links:** - AI Lab in Telegram @aiscrumbot – free consultation - [Running Airflow DAG Only If Another DAG Is Successful](https://link-to-article) - [Towards Data Science – Medium](https://link-to-medium) - Twitter –  @itinaicom #AI #Airflow #DataProcessing #Automation #AIinBusiness #PracticalSolutions