Airflow Xcoms _top_ -

task_1 >> task_2

You can explicitly push and pull data within your task, allowing you to use custom keys.

When using the PythonOperator , whatever your function returns is automatically pushed to XCom. airflow xcoms

XComs are a built-in mechanism that allows tasks to exchange small amounts of metadata, configuration, or data, enabling true workflow orchestration rather than just sequential job execution. What are Airflow XComs?

Here are some best practices for using XComs: task_1 >> task_2 You can explicitly push and

XComs are stored in the Airflow database (typically Postgres or MySQL). Pulling and pushing large objects (like DataFrames or large files) creates a heavy load on your database, leading to performance bottlenecks.

– Possible but painful. You need to specify dag_id and run_id , and the DB overhead grows quickly. What are Airflow XComs

Filter by dag_id to see all current values stored for your DAG. Conclusion

XComs are a fundamental part of mastering Apache Airflow . By enabling tasks to share small amounts of information, you can build dynamic, robust, and truly interconnected data pipelines. To help you implement this, I can: Show an example using the .