OpenMetadata/openmetadata-docs/content/v1.7.x/connectors/pipeline/airflow/index.md

title	slug
Airflow Connector | OpenMetadata Workflow Orchestration	/connectors/pipeline/airflow

{% connectorDetailsHeader name="Airflow" stage="PROD" platform="OpenMetadata" availableFeatures=["Pipelines", "Pipeline Status", "Lineage", "Owners", "Usage"] unavailableFeatures=["Tags"] / %}

In this section, we provide guides and references to use the Airflow connector.

Configure and schedule Airflow metadata workflow from the OpenMetadata UI:

• Troubleshooting

{% partial file="/v1.7/connectors/ingestion-modes-tiles.md" variables={yamlPath: "/connectors/pipeline/airflow/yaml"} /%}

{% tilesContainer %} {% tile title="MWAA" description="Run the ingestion framework externally!" link="/deployment/ingestion/external/mwaa" / %} {% tile title="GCS Composer" description="Run the ingestion from GCS Composer." link="/deployment/ingestion/external/gcs-composer" / %} {% /tilesContainer %}

Requirements

{% note %} We only support officially supported Airflow versions. You can check the version list here. {% /note %}

Metadata Ingestion

{% partial file="/v1.7/connectors/metadata-ingestion-ui.md" variables={ connector: "Airflow", selectServicePath: "/images/v1.7/connectors/airflow/select-service.png", addNewServicePath: "/images/v1.7/connectors/airflow/add-new-service.png", serviceConnectionPath: "/images/v1.7/connectors/airflow/service-connection.png", } /%}

{% stepsContainer %} {% extraContent parentTagName="stepsContainer" %}

Connection Details

• Host and Port: URL to the Airflow instance.
• Number of Status: Number of status we want to look back to in every ingestion (e.g., Past executions from a DAG).
• Connection: Airflow metadata database connection. See these docs for supported backends.

In terms of connection we support the following selections:

• backend: Should not be used from the UI. This is only applicable when ingesting Airflow metadata locally by running the ingestion from a DAG. It will use the current Airflow SQLAlchemy connection to extract the data.
• MySQL, Postgres, and SQLite: Pass the required credentials to reach out each of these services. We will create a connection to the pointed database and read Airflow data from there.

{% /extraContent %}

{% partial file="/v1.7/connectors/test-connection.md" /%}

{% partial file="/v1.7/connectors/pipeline/configure-ingestion.md" /%}

{% partial file="/v1.7/connectors/ingestion-schedule-and-deploy.md" /%}

{% /stepsContainer %}