Airflow Dev Readme

Manual testing Airflow StatsD emitter with Agent DogStatsD Mapper

/!\ Works only on Linux. Docker network_mode only works as expected on Linux.

1. Start airflow

Example:

ddev env start airflow py39

2. Check the agent is receiving the airflow statsd metrics

docker exec -it dd_airflow_py39 agent dogstatsd-stats

Airflow REST API metrics

Triggering the DAG Task

ddev env start airflow py3.11-2.6

Go to localhost:8080/login and enter admin credentials.

Manually trigger the DAG run via the UI

Trigger the dag to start DagRun and move it to a running state.

Run agent manual check

View the generated airflow.dag.task.ongoing_duration via the manual check run

ddev env agent airflow py3.11-2.6 check