@dag(start_date=datetime(2023,1,1), schedule=None, catchup=False) def xcom_exclusive_pipeline():
class LockingXComBackend(BaseXCom): @classmethod def set(cls, key, value, task_id, dag_id, session, **kwargs): with acquire_lock(f"dag_id.task_id.key"): return super().set(key, value, task_id, dag_id, session, **kwargs) airflow xcom exclusive
Airflow automatically pushes a task’s return value as an XCom with key return_value . For exclusivity, return only a primitive or a small dictionary. At the heart of its ability to create
Inside your DAG, push with a unique key per execution date: context-aware workflows is
In the realm of workflow orchestration, Apache Airflow stands out as a premier tool for managing complex data pipelines. At the heart of its ability to create interdependent, context-aware workflows is , short for "cross-communication." While Airflow's core philosophy emphasizes task isolation, XCom provides the essential bridge for tasks to share small but critical pieces of metadata. The Mechanics of Inter-Task Communication