annotating-task-lineage

To add lineage metadata to Airflow tasks, manually annotate operators with inlets and outlets to explicitly define inputs and outputs. This captures dataset relationships and enables downstream lineage tracking.

Manual lineage annotation is needed when operators lack built-in OpenLineage extraction or when you require explicit dataset lineage for tasks, datasets, or assets to ensure clear provenance.

Yes, you can configure inlets and outlets using OpenLineage-compatible datasets, Airflow assets, and Airflow Datasets to provide flexible lineage representations for your operators.

The best way to track dataset relationships without built-in extraction is providing inlets and outlets on your Airflow operators, which manually defines the lineage metadata for downstream tracking.

Airflow tasks may not emit lineage metadata if the operators lack built-in OpenLineage extraction. You must manually configure inlets and outlets on the operators to capture the dataset relationships.

Yes, annotating inlets and outlets improves lineage governance by providing clear provenance and explicitly defining dataset relationships when relying on manual lineage metadata.