Databricks

Connect Dot to Databricks

1. Generate a Databricks Access Token

Dot requires an access token to connect to Databricks. It's recommended to use a service principal for this purpose.

Option A: Using a Service Principal

1. Create a Service Principal Follow the Databricks documentation to create a service principal.

2. Grant Token Usage to the Service Principal Ensure the service principal has permissions to use access tokens.

3. Generate an Access Token Use the Databricks CLI to generate an access token:

   databricks tokens create --comment "Dot Integration" --lifetime-seconds 0

Save the generated token securely.

Option B: Using a Personal Access Token

Alternatively, you can generate a personal access token for your user account.

2. Grant Data Permissions to Dot's Service Principal

To allow Dot to access the necessary data, grant the appropriate permissions.

Unity Catalog

Access to All Tables in a Catalog

GRANT USE CATALOG ON CATALOG <catalog_name> TO `<application_id>`;
GRANT USE SCHEMA ON CATALOG <catalog_name> TO `<application_id>`;
GRANT SELECT ON CATALOG <catalog_name> TO `<application_id>`;

Access to Specific Tables

GRANT USE CATALOG ON CATALOG <catalog_name> TO `<application_id>`;
GRANT USE SCHEMA ON SCHEMA <catalog_name>.<schema_name> TO `<application_id>`;
GRANT SELECT ON TABLE <catalog_name>.<schema_name>.<table_name> TO `<application_id>`;

Access to System Tables for Data Insights

1. Enable System Schemas Use the Databricks API to enable system schemas:

   curl -X PUT -H "Authorization: Bearer <token>" \
   "https://<workspace_url>/api/2.0/unity-catalog/metastores/<metastore_id>/systemschemas/query"

1. Grant Access to System Tables

   GRANT USE SCHEMA ON SCHEMA system.query TO `<application_id>`;
   GRANT SELECT ON TABLE system.query.history TO `<application_id>`;
   GRANT USE SCHEMA ON SCHEMA system.access TO `<application_id>`;
   GRANT SELECT ON TABLE system.access.column_lineage TO `<application_id>`;

Hive Metastore

GRANT READ_METADATA, USAGE, SELECT ON CATALOG <catalog_name> TO `<application_id>`;

3. Create a Databricks SQL Warehouse for Dot

1. Create a SQL Warehouse Follow the Databricks documentation to create a SQL Warehouse.
2. Assign Permissions In the SQL Warehouse settings, click 'Permissions' and grant the Dot service principal 'Can Use' permissions.

4. Add Databricks as a Connection in Dot

1. Navigate to Connections In Dot, go to the Settings / Connections page.

2. Add a New Connection Click '+ Database Connection' and select Databricks

3. Enter Connection Details Provide the following information:

   • Host: From the SQL Warehouse created in Step 3

   • Port: Typically 443

   • HTTP Path: From the SQL Warehouse

   • Access Token: Generated in Step 1

---

This guide should help you set up a connection between Dot and Databricks.