Hi to all,
This post is a quick guide about installing the SQL Alchemy dialect developed by the community to use the HeavyAI database as a Datasource of Apache Superset Tool.
All you need to install in your python environment (venv or Conda) is the dialect package that, starting with the 6.0 version, is called sqlalchemy-heavyai.
so install it with pip (the conda version will take some other days) in the usual way
pip install sqlalchemy-heavyai
The sqlalchemy dialect and the python driver will install in your environment.
(base) mapd@zion-tr:~$ pip install sqlalchemy-heavyai Collecting sqlalchemy-heavyai Using cached sqlalchemy_heavyai-1.0-py3-none-any.whl (12 kB) [CUT] ... Collecting pyheavydb>=6.0.0 Using cached pyheavydb-6.0.0.post2-py3-none-any.whl (97 kB) [CUT] ... Installing collected packages: pyheavydb, sqlalchemy-heavyai Successfully installed pyheavydb-6.0.0.post2 sqlalchemy-heavyai-1.0.
Now you have just to get this file omnisci.txt|attachment (2,0 KB) , rename into heabydb.py, then place inside your superset installation under the db_engine_specs folder
Then restart the superset service.
to add a heavyai database, go in the under the tab Sources, select Database and add a new database with type other and configure the URL to connect following the example
after that, test the connection; you should get a popup in the right corner of the screen
Now you can query your database with the sql_lab tool ad create your charts.
for this example, you need a Mapbox key to add to Superset configuration
We tested the Dialect + Drivers against 1.2 and 1.4 versions of Apache Superset.
For suggestions on how to improve the support or to raise issues use this thread or
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