Here's a general overview of the steps involved:
Install PostgreSQL or MySQL: Depending on your preference and requirements, you can choose either PostgreSQL or MySQL as the backend database for Airflow. Install the chosen database system following its installation instructions.
Create a Database: After installing PostgreSQL or MySQL, create a new database for Airflow to use. You can do this using the respective database management tools or command-line interfaces.
Install Airflow: Install Airflow using your preferred method, such as using pip or Docker. Refer to Airflow's documentation for detailed installation instructions.
Configure Airflow: Update the Airflow configuration file (airflow.cfg
) to specify the connection details for the database you set up in step 2. You'll need to provide the database connection string, including the database type, host, port, database name, username, and password.
Here's an example of how the database connection string might look like for PostgreSQL:
sql_alchemy_conn = postgresql+psycopg2://username:password@hostname:port/database_name
And for MySQL:
sql_alchemy_conn = mysql://username:password@hostname:port/database_name
Initialize the Database: After configuring Airflow, initialize the metadata database by running the airflow initdb
command. This will create the necessary tables and schema in the database.
Start Airflow Services: Once the database is initialized, you can start the Airflow webserver, scheduler, and other necessary components.