Follows this
Step1: Fetching docker-compose.yaml
curl -LfO 'https://airflow.apache.org/docs/apache-airflow/2.8.3/docker-compose.yaml'
If you don’t need the distributed Task queue, which is done by CeleryExecutor, you might want to change the AIRFLOW__CORE__EXECUTOR parameter into LocalExecutor and delete the AIRFLOW__CELERY__RESULT_BACKEND, AIRFLOW__CELERY__BROKER_URL and redis, celery worker and flower
You can also stop airflow from loading the sample DAG by changing the parameter AIRFLOW__CORE__LOAD_EXAMPLES into false
Step2: create directory for saving logs, DAG and all other files
mkdir -p ./dags ./logs ./plugins ./config
echo -e "AIRFLOW_UID=$(id -u)" > .env
Step3: Initialize the env and Run all services
docker compose up airflow-init
docker-compose up -d