Connect to Looker Studio

This article describes how to use Looker Studio with a Databricks cluster or Databricks SQL warehouse (formerly Databricks SQL endpoint).

Requirements

Before you connect to Looker Studio manually, you need the following:

• A cluster or SQL warehouse in your Databricks workspace.

  • Compute configuration reference.

  • Create a SQL warehouse.

• The connection details for your cluster or SQL warehouse, specifically the Server Hostname, Port, and HTTP Path values.

  • Get connection details for a Databricks compute resource.

• A Databricks personal access token. To create a personal access token, do the following:

  1. In your Databricks workspace, click your Databricks username in the top bar, and then select Settings from the drop down.

  2. Click Developer.

  3. Next to Access tokens, click Manage.

  4. Click Generate new token.

  5. (Optional) Enter a comment that helps you to identify this token in the future, and change the token’s default lifetime of 90 days. To create a token with no lifetime (not recommended), leave the Lifetime (days) box empty (blank).

  6. Click Generate.

  7. Copy the displayed token to a secure location, and then click Done.

  Note

  Be sure to save the copied token in a secure location. Do not share your copied token with others. If you lose the copied token, you cannot regenerate that exact same token. Instead, you must repeat this procedure to create a new token. If you lose the copied token, or you believe that the token has been compromised, Databricks strongly recommends that you immediately delete that token from your workspace by clicking the trash can (Revoke) icon next to the token on the Access tokens page.

  If you are not able to create or use tokens in your workspace, this might be because your workspace administrator has disabled tokens or has not given you permission to create or use tokens. See your workspace administrator or the following topics:

  • Enable or disable personal access token authentication for the workspace

  • Personal access token permissions

  Note

  As a security best practice when you authenticate with automated tools, systems, scripts, and apps, Databricks recommends that you use OAuth tokens.

  If you use personal access token authentication, Databricks recommends using personal access tokens belonging to service principals instead of workspace users. To create tokens for service principals, see Manage tokens for a service principal.

Connect to Looker Studio manually

To connect to Looker Studio manually, do the following:

1. Go to https://lookerstudio.google.com/data and search for the Databricks connector.

2. Click Authorize, and sign in to your Google account.

   Note

   Databricks Connector for Data Studio use and transfer to any other app of information received from Google APIs will adhere to Google API Services User Data Policy, including the Limited Use requirements.

3. Enter your Databricks credentials. Enter token in the username field, and enter your personal access token in the password field.

   

4. For Server Hostname, enter the Databricks server hostname.

   

5. For SQL Warehouse, select a SQL warehouse from the drop-down list. You can filter by keyword to search.

6. For SQL Query, write your SQL query. Your query must include the complete path with the catalog, the schema, and the table specified and enclosed in backticks.

   For example:

   select * from `catalog`.`schema`.`table` limit 100
   

   Note

   The maximum result size you can retrieve is 16MB.

Reset your access

To revoke your authorization from a connector:

1. Find the Databricks data source card on the Looker Studio home page.

2. Click the kebab menu in the top right, and then click Revoke Access.

   

Allowlist Connector IP address

The Looker Studio Connector use UrlFetchApp class by Google App Scripts to make API calls. UrlFetchApp use ip address from IP ranges that Google makes available to users on the internet, which is listed here.