Exposes dag and task based metrics from Airflow to a Prometheus compatible endpoint.

Note: this version is compatible with Airflow 1.10.3+ only, see #46 for details

For compatibility with previous versions of Airflow use older version: v0.5.4

• Airflow: airflow1.10.3+
• Python: python2, python3
• DataBase: postgresql, mysql

pip install airflow-exporter

That's it. You're done.

It is possible to add extra labels to DAG-related metrics by providing labels dict to DAG params.

dag = DAG(
    'dummy_dag',
    schedule_interval=timedelta(hours=5),
    default_args=default_args,
    catchup=False,
    params={
        'labels': {
            'env': 'test'
        }
    }
)

Label env with value test will be added to all metrics related to dummy_dag:

airflow_dag_status{dag_id="dummy_dag",env="test",owner="owner",status="running"} 12.0

Metrics will be available at

http://<your_airflow_host_and_port>/admin/metrics/

Labels:

• dag_id
• task_id
• owner
• status
• hostname

Value: number of tasks in specific status.

Labels:

• dag_id
• owner
• status

Value: number of dags in specific status.

Labels:

• dag_id: unique identifier for a given DAG

Value: duration in seconds of the longest DAG Run for given DAG. This metric is not available for DAGs that have already completed.

Distributed under the BSD license. See LICENSE for more information.