Here are some things to consider:
Debugging and Setting Up OAuth Authentication with dbt and Databricks
Steps to Analyze and Setup Authentication: 1. Verify Credentials and Configuration: - Double-check the auth_type: oauth
is correctly specified, as well as the client ID. Ensure these are properly formatted. - Ensure sensitive information like secrets and tokens are set as environment variables instead of being hardcoded in the profiles.yml
.
-
Using OAuth Tokens:
- Databricks recommends using OAuth tokens as the secure method for authentication.
- Confirm that your Databricks instance has OAuth enabled as specified in the documentation.
-
dbt init Dialog:
- If the
use oauth
option is not displayed in the dbt init
dialog, it could indicate that either the version of dbt-databricks
is outdated or that the OAuth setup on Databricks is incomplete.
- Ensure you are using dbt-databricks version 1.8.0 or greater as recommended.
-
Testing Connection:
- Use the
dbt debug
command to confirm that the connection details are correct and the profiles file is valid.
- For debugging errors related to authentication, the console output during
dbt debug
will provide insights.
-
Environment and Prerequisites:
- Confirm Python 3.7+ is installed along with utilities like
pipenv
for virtual environments.
- Ensure correct
host
and http_path
settings in the profiles.yml
file, derived from your Databricks workspace (Compute or SQL Warehouse settings).
-
External Tutorials:
- The community tutorial you referenced might contain additional steps specific to Azure Databricks. However, since we cannot access its content, ensure your setup aligns with the generic Databricks OAuth process outlined in the Databricks documentation.
Additional Tips: - If you are still unable to authenticate, check the compatibility between your dbt-databricks package and your Databricks workspace. - For further guidance, consult the
Connect to dbt Core Databricks documentation.
Hope this helps, Big Roux.