Integration User Impersonation

Native impersonation allows users to natively query data as another Immuta user.

User impersonation is supported with

• Amazon Redshift
• Azure Synapse Analytics
• Databricks Spark
• Starburst (Trino)
• Snowflake

User Impersonation with Amazon Redshift

1 - Enable User Impersonation

Select Enable Impersonation when configuring the Redshift integration on the App Settings page.

2 - Grant Users the IMPERSONATE_USER Permission

After enabling user impersonation with your Amazon Redshift integration, there are two ways to give a user permission to use the feature: in the Immuta UI or in Amazon Redshift. Use the tabs below to select one method.

3 - Impersonate a User

To impersonate another user in Redshift,

1. Run CALL immuta_procedures.impersonate_user(<Immuta username of the user to impersonate>).

2. Run queries.

4 - End User Impersonation

To end user impersonation in Redshift, run CALL immuta_procedures.impersonate_user(<NULL>).

5 - Revoke Users' IMPERSONATE_USER Permission

To revoke permission to impersonate users,

Redshift-Specific Caveats

User impersonation is specific to the script and session in which it was set. Using a new script or running a subset of script queries without setting the context will result in the queries being run as the regular user.

User Impersonation with Azure Synapse Analytics

1 - Enable User Impersonation

Select Enable Impersonation when configuring the Synapse Analytics integration on the App Settings page.

2 - Grant Users the IMPERSONATE_USER Permission

After enabling user impersonation with your Azure Synapse Analytics integration, there are two ways to give a user permission to use the feature: in the Immuta UI or in Azure Synapse Analytics. Use the tabs below to select one method.

3 - Impersonate a User

To impersonate another user in Synapse,

1. Run the following command:

   EXEC sys.sp_set_session_context @key = N'immuta_user',
   @value = '<Synapse username linked to the Immuta user you want to impersonate>';
   

2. Run queries.

4 - End User Impersonation

To end user impersonation in Synapse, run EXEC sys.sp_set_session_context @key = N'NULL', @value = '<NULL>'.

5 - Revoke Users' IMPERSONATE_USER Permission

To revoke permission to impersonate users,

Synapse-Specific Caveats

• User impersonation is specific to the script and session in which it was set. Opening a new script will revert the user back to themselves.

User Impersonation with Databricks Spark

Databricks user impersonation allows a Databricks user to impersonate an Immuta user. With this feature,

• the Immuta user who is being impersonated does not have to have a Databricks account, but they must have an Immuta account.
• the Databricks user who is impersonating an Immuta user does not have to be associated with Immuta. For example, this could be a service account.

When acting under impersonation, the Databricks user loses their privileged access, so they can only access the tables the Immuta user has access to and only perform DDL commands when that user is acting under an allowed circumstance (such as workspaces, scratch paths, or non-Immuta reads/writes).

1 - Configure User Impersonation

Follow one of these methods to allow specified Databricks users to impersonate Immuta users:

• In the cluster policy JSON in the Immuta UI, add a comma-separated list of Databricks users who are allowed to impersonate Immuta users for the IMMUTA_SPARK_DATABRICKS_ALLOWED_IMPERSONATION_USERS Spark environment variable.

  "spark_env_vars.IMMUTA_SPARK_DATABRICKS_ALLOWED_IMPERSONATION_USERS": {
    "type": "fixed",
    "value": "edixon@example.com,dakota@example.com"
  }
  

• In the Spark environment variables section of the Databricks UI, add IMMUTA_SPARK_DATABRICKS_ALLOWED_IMPERSONATION_USERS followed by a comma-separated list of Databricks users who are allowed to impersonate Immuta users.

  IMMUTA_SPARK_DATABRICKS_ALLOWED_IMPERSONATION_USERS=edixon@example.com,dakota@example.com
  

• In the immuta_conf.xml file, add immuta.spark.databricks.allowed.impersonation.users followed by a comma-separated list of Databricks users who are allowed to impersonate Immuta users. Note: This file is no longer required or staged as a deployment artifact, but can still be used to set properties.

  immuta.spark.databricks.allowed.impersonation.users edixon@example.com,dakota@example.com
  

2 - Impersonate a User

Once the cluster is configured with a list of Databricks users who are allowed to impersonate Immuta users, run the following SQL command to set the user you want to impersonate:

%sql
set immuta.impersonate.user=smwilliams@example.com

This command generates an API token for the specified user that queries Immuta for metadata pertinent to that user. When generating the token, the impersonated username is matched with the corresponding IAM user. The IAM used by default is the built-in IAM in Immuta, but can be set using the IMMUTA_USER_MAPPING_IAMID environment variable.

3 - Query Data

Run queries as the impersonated Immuta user:

%sql
set immuta.impersonate.user=smwilliams@example.com
select * from demo.hr_data limit 10;

Example Queries

Once impersonation is active, any query issued in the session will have the appropriate data and subscription policies applied for the impersonated user. Consider the example queries in the tabs below.

Audited Queries

Audited queries include an impersonationUser field, which identifies the Databricks user impersonating the Immuta user:

{
  "id": "query-a20e-493e-id-c1ada0a23a26",
  "dateTime": "1639684812845",
  "month": 1463,
  "profileId": 4,
  "userId": "smwilliams@example.com",
  "dataSourceId": 1,
  "dataSourceName": "Hr Data",
  "count": 1,
  "recordType": "spark",
  "success": true,
  "component": "dataSource",
  "accessType": "query",
  "query": "Relation[id#2644,first_name#2645,last_name#2646,email#2647,gender#2648,race#2649,ssn#2650,dept#2651,job#2652,skills#2653,salary#2654,type#2655] parquet\n",
  "extra": {
    "databricksWorkspaceID": "0",
    "maskedColumns": {},
    "metastoreTables": [
      "demo.hr_data"
    ],
    "clusterName": "your-cluster-name",
    "pathUris": [
      "dbfs:/user/hive/warehouse/demo.db/hr_data"
    ],
    "queryText": "select * from demo.hr_data limit 10;",
    "queryLanguage": "sql",
    "clusterID": "your-171358-cluster-id",
    "impersonationUser": "edixon@example.com"
  },
  "dataSourceTableName": "demo_hr_data",
  "createdAt": "2021-12-16T20:00:12.850Z",
  "updatedAt": "2021-12-16T20:00:12.850Z"
}

4 - End User Impersonation

To end user impersonation for the session, run

%sql
set immuta.impersonate.user=

Databricks-Specific Caveats

• The only way to enable this feature is through cluster configuration. The IMPERSONATE_USER permission in Immuta will not allow a user to perform native impersonation in Databricks.

User Impersonation with Starburst (Trino)

1 - Grant Users the IMPERSONATE_USER Permission

User impersonation is automatically enabled with your Starburst (Trino) integration, but the authenticated user must be given the IMPERSONATE_USER permission in Immuta or match the Starburst (Trino) immuta.user.admin regex configuration property.

To grant the user IMPERSONATE_USER permission, as an Immuta user with the permission USER_ADMIN,

1. Navigate to your Immuta homepage.

2. Click the People icon and select Admin in the left sidebar, and select the user from the Users tab.

3. Click Add Permissions.

4. Click the Select Permission dropdown, and select the IMPERSONATE_USER permission.

5. Click Close.

2 - Impersonate a User

The Starburst (Trino) integration supports the native Trino impersonation approaches:

• JDBC method: In your JDBC connection driver properties, set the sessionUser property to the Immuta user you want to impersonate. See the Trino JDBC driver documentation for details.

• Trino CLI method: Set the --session-user property to specify the session user as the Immuta user you want to impersonate when invoking the Trino CLI. See the Trino release notes for details.

3 - Check User Impersonation

To view the user you are impersonating, run SHOW SESSION like 'immuta.immuta_user'.

4 - End User Impersonation

To end user impersonation, run RESET SESSION immuta.immuta_user.

5 - Revoke Users' IMPERSONATE_USER Permission

To revoke permission to impersonate users, as an Immuta user with the permission USER_ADMIN,

1. Navigate to your Immuta homepage.

2. Click the People icon and select Admin in the left sidebar, and select the user from the Users tab.

3. Click the delete icon on the IMPERSONATE_USER permission.

Caveats

• The user's permissions to impersonate users are not checked until the query is run. If the user does not have the IMPERSONATE_USER permission in Immuta, they will be able to run the command to impersonate a role, but will not be able to query as that role.

User Impersonation with Snowflake

1 - Enable User Impersonation

Select Enable Impersonation when configuring the Snowflake integration on the App Settings page.

2 - Grant Users the IMPERSONATE_USER Permission

After enabling user impersonation with your Snowflake integration, there are two ways to give a user permission to use the feature: in the Immuta UI or in Snowflake. Use the tabs below to select one method.

3 - Impersonate a User

To impersonate another user in Snowflake,

1. Open a New Worksheet and set your role to the impersonation role specific to your organization.

2. Run SET immuta_user = '<<Immuta username of the user to impersonate>>'.

3. Run queries within that worksheet.

4 - Revoke Users' IMPERSONATE_USER Permission

To revoke permission to impersonate users,

Snowflake-Specific Caveats

• Native impersonation is specific to the workspace and session in which it was set. Opening a new worksheet will revert the user back to themselves.
• Snowflake auditing will show the user running the queries as the user logged in to Snowflake not as the user they are impersonating.