How to Connect Apache Airflow with OpenLineage for Full Data Traceability

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Apache Airflow can be integrated with OpenLineage to automatically emit structured lineage events for every DAG run, eliminating the need for manual documentation or lineage spreadsheets. The setup requires Airflow 2.11.0 or later, Python 3.9–3.12, Docker, and two key packages: the Airflow OpenLineage provider and the openlineage-python client. OpenLineage organizes metadata around three core objects — Jobs, Runs, and Datasets — with Facets serving as modular metadata blocks attached to any of these. Events are fired on task state transitions such as START, COMPLETE, and FAIL, and lineage graphs are reconstructed by linking datasets across runs. Marquez, the reference implementation of the OpenLineage standard, can be run locally via Docker to provide a lineage UI accessible on port 3000.

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