• Build the docker image

docker build -t airflow .

• Run airflow in a container

docker run -d -p 8080:8080 airflow

• Run airflow in a container (with mounted volume)

docker run -d -p 8080:8080 \
    -v $(pwd)/mnt/dags:/usr/local/airflow/dags \
    -v $(pwd)/mnt/airflow.cfg:/usr/local/airflow/airflow.cfg airflow

• Access the airflow UI at localhost:8080

# Check for errors in your DAG
python $DAG

# List DAGS
airflow list_dags

# Lists tasks in a DAG
airflow list_tasks $DAG

# Test a DAG (doesn't modify database)
airflow test $DAG $TASK

docker-compose up -d

These are the differences between the config files:

• executor = CeleryExecutor
• sql_alchemy_conn = postgresql+psycopg2://airflow:airflow@postgres:5432/airflow

Connection = /usr/local/airflow/airflow.db

select * from sqlite_master;

select * from pg_catalog.pg_tables;