Run StackQL Queries from the Databricks Web Terminal
If you have access to a Databricks workspace, you can run StackQL queries directly from the Databricks Web Terminal using your Databricks identity.
How It Works
Download the latest release of stackql, then run the convenience script included (similar scripts are included for other cloud provider terminals - e.g. AWS Cloud Shell).
curl -L https://bit.ly/stackql-zip -O && unzip stackql-zip
sh stackql-databricks-shell.sh
Example Queries
Here are the sample queries run in the video, just change the deployment_name for your workspace.
User entitlements
SELECT
deployment_name,
id,
userName,
displayName,
entitlement
FROM databricks_workspace.iam.vw_user_entitlements
WHERE deployment_name = 'dbc-74aa95f7-8c7e';
All workspace settings
SELECT * FROM
databricks_workspace.settings.vw_all_settings
WHERE deployment_name = 'dbc-74aa95f7-8c7e';
Tag policies filtered by key prefix
SELECT
tag_key as key,
description
FROM databricks_workspace.tags.tag_policies
WHERE deployment_name = 'dbc-74aa95f7-8c7e'
AND key LIKE 'class%';
Catalog count by type
SELECT
catalog_type,
COUNT(*) as num_catalogs
FROM databricks_workspace.catalog.catalogs
WHERE deployment_name = 'dbc-74aa95f7-8c7e'
GROUP BY catalog_type;
Provider Coverage
The databricks_workspace provider covers workspace related services, the databricks_account provider covers account-level operations including provisioning, billing, and account IAM.
The web terminal flow covers workspace-scoped queries using the token of the logged-in user. For account-level queries (provisioning, billing, account IAM), you need a Databricks service principal with account admin rights and OAuth2 credentials:
export DATABRICKS_ACCOUNT_ID="your-account-id"
export DATABRICKS_CLIENT_ID="your-client-id"
export DATABRICKS_CLIENT_SECRET="your-client-secret"
These are the same variables used by the Databricks CLI and Terraform provider, so if you already have those configured the auth story is identical.
Get Started
Full provider documentation:
Visti StackQL on GitHub.