Using Superset
Superset is an open-source business intelligence and data analytics platform that provides numerous statistical and visualization tools. You can configure Superset to use Datomic as a data source via the included "presto" connector.
Important: First, follow the steps in the Python Setup documentation.
Installing Superset
Using the venv created previously:
# From the directory created when making the venv (my-python-env): . venv/bin/activate
Follow the superset install and setup instructions in your Python venv, starting with:
pip install superset
Once installed, as indicated in the docs, you can launch superset with:
superset run -p 8080 --with-threads --reload --debugger
Use Ctrl-C to stop the superset server
These setup steps only need to be run the first time you install Superset.
To run it again in the future, return to the my-python-env directory and run:
. venv/bin/activate
superset run -p 8080 --with-threads --reload --debugger
Once Superset is running, it can be found at localhost:8080 in a web browser.
Using Superset with Datomic Analytics
In the Superset Menu Bar Click "Sources" → "Databases" Click the + button to add a new database Choose a name for the DB and enter it in the Name field. In the SQL Alchemy URI field add the DB URI for the Datomic Analytics system:
presto://<host>:<port>/<catalog>/<schema>
Substituting host, port, catalog, and schema.
Click "Test" to test the connection
Check the "Expose in SQL Lab" Option
Configure remaining options (if desired) and click Save to create the Data Source