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Fetch the complete documentation index at: https://docs.credibledata.com/llms.txt

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To connect Databricks to Credible you need a SQL warehouse and credentials for either a personal access token (PAT) or an OAuth machine-to-machine (M2M) service principal.

Prerequisites

  • A Databricks workspace with Unity Catalog enabled
  • Permission to create or use a SQL warehouse
  • Permission to create a personal access token, or workspace admin access to create an OAuth service principal

Step 1: Find or Create a SQL Warehouse

Credible queries Databricks through a SQL warehouse.
  1. In the Databricks workspace, go to SQL Warehouses in the left sidebar
  2. Use an existing warehouse or click Create SQL warehouse
  3. Give it a name (e.g., credible-warehouse) and pick a size — a Small Serverless warehouse is a good starting point
  4. Click Create
Once the warehouse exists, open it and note the following from the Connection details tab:
  • Server hostname — looks like dbc-xxxxxxxx-xxxx.cloud.databricks.com. This is the Host field in Credible.
  • HTTP Path — looks like /sql/1.0/warehouses/<warehouse-id>. This is the HTTP Path field in Credible.

Step 2: Create Credentials

Choose one of the following authentication methods.

Option A: Personal Access Token (PAT)

Best for getting started or for connections owned by an individual user.
  1. In Databricks, click your user avatar (top right) > Settings
  2. Go to Developer > Access tokens > Manage
  3. Click Generate new token
  4. Add a comment (e.g., credible) and choose a lifetime
  5. Click Generate and copy the token — you cannot view it again
Treat the PAT like a password. Anyone with the token can act as you in Databricks.

Option B: OAuth M2M Service Principal

Recommended for production. The connection is owned by a service principal rather than a person, so it survives user offboarding.
  1. In Databricks, go to Settings > Identity and access > Service principals
  2. Click Add service principal, name it (e.g., credible-sp), and create it
  3. Open the service principal and go to the Secrets tab
  4. Click Generate secret and copy both the Client ID and Client Secret — the secret is shown only once
  5. Grant the service principal access to your SQL warehouse and Unity Catalog data:
    • In SQL Warehouses, open the warehouse, click Permissions, and grant the service principal Can use
    • In Unity Catalog, grant the service principal USE CATALOG, USE SCHEMA, and SELECT on the catalogs/schemas/tables you want Credible to read

Step 3: Grant Data Access

Whichever identity you chose (your user for a PAT, or the service principal for OAuth), it needs Unity Catalog privileges on the data you plan to model. At a minimum:
  • USE CATALOG on the target catalog
  • USE SCHEMA on each schema
  • SELECT on each table or view
You can grant these in the Databricks Catalog Explorer or via SQL:
GRANT USE CATALOG ON CATALOG main TO `credible-sp`;
GRANT USE SCHEMA ON SCHEMA main.sales TO `credible-sp`;
GRANT SELECT ON SCHEMA main.sales TO `credible-sp`;

Step 4: Connect in Credible

  1. Go to your-org.app.credibledata.com
  2. Navigate to your project
  3. Click Add Connection
  4. Select Databricks
  5. Fill in:
    • Host — the workspace hostname from Step 1
    • HTTP Path — the warehouse HTTP path from Step 1
    • Default Catalog — the Unity Catalog to use by default (e.g., main)
    • Default Schema — optional, the default schema within the catalog (e.g., default)
    • Access Token — paste the PAT from Step 2A, or
    • OAuth Client ID + OAuth Client Secret — paste the credentials from Step 2B
  6. Click Test Connection to verify connectivity
  7. Save the connection
Provide either a personal access token or OAuth client credentials, not both.

Troubleshooting

  • Invalid access token / 401 Unauthorized — The PAT has expired or was revoked. Generate a new one in Databricks user settings.
  • PERMISSION_DENIED on a table — The user or service principal is missing USE CATALOG, USE SCHEMA, or SELECT. Grant the missing privilege in Unity Catalog.
  • Connection times out — A Serverless warehouse may be cold-starting. Open the warehouse in Databricks and confirm it can start; for classic warehouses, ensure auto-stop hasn’t paused it indefinitely.
  • Catalog not found — Double-check the Default Catalog value matches a Unity Catalog the identity has USE CATALOG on.