Configure a Databricks Unity Catalog Integration
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Immuta’s integration with Unity Catalog allows you to manage multiple Databricks workspaces through Unity Catalog while protecting your data with Immuta policies. Instead of manually creating UDFs or granting access to each table in Databricks, you can author your policies in Immuta and have Immuta manage and enforce Unity Catalog access-control policies on your data in Databricks clusters or SQL warehouses.
Use the /integrations endpoint to
Access token authentication: If using this method, generate a personal access token for the service principal that Immuta will use to manage policies in Unity Catalog. This service principal must have the privileges listed above for the metastore associated with the Databricks workspace.
OAuth machine-to-machine (M2M) authentication: If using this method, follow Databricks documentation to create a client secret for the Immuta service principal. This service principal must have the privileges listed above for the metastore associated with the Databricks workspace.
Click the App Settings icon in the left sidebar.
Scroll to the Global Integrations Settings section and check the Enable Databricks Unity Catalog support in Immuta checkbox.
In Databricks, create a service principal with the privileges listed above.
Opt to enable query audit for Unity Catalog:
If you will configure the integration using the manual setup option, the Immuta script you will generate includes the SQL statements for granting required privileges to the service principal, so you can skip this step and continue to the manual setup section. Otherwise, manually grant the Immuta service principal access to the Databricks Unity Catalog system tables. For Databricks Unity Catalog audit to work, the service principal must have the following access at minimum:
USE CATALOG on the system catalog
USE SCHEMA on the system.access schema
SELECT on the following system tables:
system.access.audit
system.access.table_lineage
system.access.column_lineage
You have two options for configuring your Databricks Unity Catalog integration. Select the method you prefer below to navigate to configuration instructions:
Automatic setup: Immuta creates the catalogs, schemas, tables, and functions using the service principal you created.
Manual setup: Run the Immuta script in Databricks yourself to create the catalog. You can also modify the script to customize your storage location for tables, schemas, or catalogs. The user running the script must have the Databricks privileges listed above.
Required permissions: When performing an automatic setup, the Immuta service principal must have the permissions listed above and the CREATE CATALOG privilege on the Unity Catalog metastore.
Copy the request example, and replace the values with your own as directed to configure the integration settings. The examples provided use JSON format, but the request also accepts YAML.
See the config object description for parameter definitions, value types, and additional configuration options.
Replace the Immuta URL and API key with your own.
Change the config values to your own, where
workspaceUrl is your Databricks workspace URL.
httpPath is the HTTP path of your Databricks cluster or SQL warehouse.
token is the Databricks personal access token. This is the access token for the Immuta service principal.
catalog is the name of the Databricks catalog Immuta will create to store internal entitlements and other user data specific to Immuta. This catalog will only be readable for the Immuta service principal and should not be granted to other users. The catalog name may only contain letters, numbers, and underscores and cannot start with a number.
The response returns the status of the Databricks Unity Catalog integration configuration connection. See the response schema reference for details about the response schema.
A successful response includes the validation tests statuses.
To manually configure the integration, complete the following steps:
Copy the request example, and replace the values with your own as directed to configure the integration settings. The examples provided use JSON format, but the request also accepts YAML.
See the config object description for parameter definitions, value types, and additional configuration options.
Replace the Immuta URL and API key with your own.
Change the config values to your own, where
workspaceUrl is your Databricks workspace URL.
httpPath is the HTTP path of your Databricks cluster or SQL warehouse.
token is the Databricks personal access token. This is the access token for the Immuta service principal.
catalog is the name of the Databricks catalog Immuta will create to store internal entitlements and other user data specific to Immuta. This catalog will only be readable for the Immuta service principal and should not be granted to other users. The catalog name may only contain letters, numbers, and underscores and cannot start with a number.
Run the script returned in the response in your Databricks environment.
Response
The response returns the script for you to run in your environment.
Copy the request example, and replace the values with your own as directed to configure the integration settings. The examples provided use JSON format, but the request also accepts YAML. The payload you provide must match the payload sent when generating the script.
See the config object description for parameter definitions, value types, and additional configuration options.
Replace the Immuta URL and API key with your own.
Pass the same payload you sent when generating the script, where
workspaceUrl is your Databricks workspace URL.
httpPath is the HTTP path of your Databricks cluster or SQL warehouse.
token is the Databricks personal access token. This is the access token for the Immuta service principal.
catalog is the name of the Databricks catalog Immuta will create to store internal entitlements and other user data specific to Immuta. This catalog will only be readable for the Immuta service principal and should not be granted to other users. The catalog name may only contain letters, numbers, and underscores and cannot start with a number.
The response returns the status of the Databricks Unity Catalog integration configuration connection. See the response schema reference for details about the response schema.
A successful response includes the validation tests statuses.
Copy the request example.
Replace the Immuta URL and API key with your own.
Replace the {id} request parameter with the unique identifier of the integration you want to get. Alternatively, you can get a list of all integrations and their IDs with the GET /integrations endpoint.
The response returns a Databricks Unity Catalog integration configuration. See the response schema reference for details about the response schema. An unsuccessful request returns the status code and an error message. See the HTTP status codes and error messages for a list of statuses, error messages, and troubleshooting guidance.
Copy the request example.
Replace the Immuta URL and API key with your own.
The response returns the configuration for all integrations. See the response schema reference for details about the response schema. An unsuccessful request returns the status code and an error message. See the HTTP status codes and error messages for a list of statuses, error messages, and troubleshooting guidance.
Copy the request example, and replace the values with your own as directed to configure the integration settings. The examples provided use JSON format, but the request also accepts YAML.
See the config object description for parameter definitions, value types, and additional configuration options.
This example updates the access token.
Replace the Immuta URL and API key with your own.
Replace the {id} request parameter with the unique identifier of the integration you want to update.
Change the config values to your own, where
workspaceUrl is your Databricks workspace URL.
httpPath is the HTTP path of your Databricks cluster or SQL warehouse.
token is the Databricks personal access token. This is the access token for the Immuta service principal.
catalog is the name of the Databricks catalog Immuta will create to store internal entitlements and other user data specific to Immuta. This catalog will only be readable for the Immuta service principal and should not be granted to other users. The catalog name may only contain letters, numbers, and underscores and cannot start with a number.
The response returns the status of the Databricks Unity Catalog integration configuration connection. See the response schema reference for details about the response schema.
A successful response includes the validation tests statuses.
Copy the request example.
Replace the Immuta URL and API key with your own.
Replace the {id} request parameter with the unique identifier of the integration you want to delete.
The response returns the status of the Databricks Unity Catalog integration configuration that has been deleted. See the response schema reference for details about the response schema. An unsuccessful request returns the status code and an error message. See the HTTP status codes and error messages for a list of statuses, error messages, and troubleshooting guidance.
An Immuta user with the APPLICATION_ADMIN permission must configure a Databricks Unity Catalog integration.
A Databricks user authorized to create a Databricks service principal must create one for Immuta. This service principal is used continuously by Immuta to orchestrate Unity Catalog policies and maintain state between Immuta and Databricks. This service principal needs the following Databricks privileges:
USE CATALOG on all catalogs containing securables registered as Immuta data sources and USE SCHEMA on all schemas containing securables registered as Immuta data sources.
MANAGE, MODIFY, and SELECT on all securables registered as Immuta data sources. MANAGE and MODIFY are required so that the service principal can apply row filters and column masks on the securable; to do so, the service principal must also have SELECT on the securable as well as USE CATALOG on its parent catalog and USE SCHEMA on its parent schema. Since privileges are inherited, you can grant the service principal the MANAGE, MODIFY, and SELECT privilege on all catalogs or schemas containing Immuta data sources, which automatically grants the service principal the MANAGE, MODIFY, and SELECT privilege on all current and future securables in the catalog or schema.
See the Databricks documentation for more details about Unity Catalog privileges and securable objects.
Optionally, to include audit, the service principal needs the following additional privileges:
USE CATALOG on system catalog
USE SCHEMA on system.access schema
SELECT on system.access.audit table
SELECT on system.access.table_lineage table
SELECT on system.access.column_lineage table
Access to system tables is governed by Unity Catalog. No user has access to these system schemas by default. To grant access, a user that is both a metastore admin and an account admin must grant USE and SELECT permissions on the system schemas to the service principal. See Manage privileges in Unity Catalog. The system.access schema must also be enabled on the metastore before it can be used.