1. If you're running Superset for the first time in a new environment, generate a new SECRET_KEY to increase security:

   meltano config superset set SECRET_KEY $(openssl rand -base64 42)
   

2. Create an admin user: (use admin as username to be able to load the examples)

   meltano invoke superset:create-admin
   

   This is equivalent to superset fab create-admin in the Superset documentation

3. Optionally, load some example data to play with:

   meltano invoke superset:load-examples
   

   This is equivalent to superset load_examples in the Superset documentation

4. Launch the Superset UI and log in using the username/password you created:

   meltano invoke superset:ui
   

   By default, the UI will be available at at http://localhost:8088. You can change this using the ui.bind_host and ui.port settings documented below.

Add additional database drivers

Superset does not ship bundled with connectivity to databases, except for SQLite, which is part of the Python standard library. You’ll need to install the required packages for the database you want to use as your metadata database as well as the packages needed to connect to the databases you want to access through Superset.

You can find the list of supported databases and the appropriate PyPI (pip) packages in the Supported Databases and Dependencies section in the Superset documenation. These can then be added to your Meltano project by configuring a custom pip_url for the superset utility:

1. Find the superset plugin definition in your meltano.yml project file

2. Update the pip_url property to include the desired additional packages:

   utilities:
   - name: superset
     variant: apache
     pip_url: apache-superset==1.5.0 snowflake-sqlalchemy
   

3. Re-install the plugin:

   meltano install utility superset
   

Now when you (re)start Superset, you will be able to connect to a new type of database, like Snowflake in the example.