Deregister a Connection

Data API reference guide

Required Immuta permission: APPLICATION_ADMIN

To deregister a connection from Immuta, do the following:

1. Generate a script to clean up any Immuta-managed resources from your Snowflake or Databricks Unity Catalog environment. For AWS Lake Formation connections, skip to step 2.

2. Delete the connection in Immuta.

3. Run the script in Databricks Unity Catalog or Snowflake to clean up any Immuta-managed resources from your environment.

Step 1: Generate the cleanup script

POST /integrations/{id}/scripts/delete

Creates a script to remove Immuta-managed resources from your data platform.

curl -X 'POST' \
    'https://www.organization.immuta.com/integrations/1/scripts/delete' \
    -H 'accept: application/json' \
    -H 'Content-Type: application/json' \
    -H 'Authorization: 846e9e43c86a4ct1be14290d95127d13f'

Path parameters

Attribute	Description	Required
id integer	The integration ID. Use the GET /integrations endpoint to list all your integrations and their IDs.	Yes

Response

The response returns the script that you will run in your Databricks Unity Catalog or Snowflake environment. Copy it for later.

Step 2: Delete the connection in Immuta

DELETE /data/object/{connectionKey}

Delete the given connection and all its child objects.

curl -X 'DELETE' \
    'https://<your-immuta-url>/data/object/yourConnectionKey' \
    -H 'accept: application/json' \
    -H 'Content-Type: application/json' \
    -H 'Authorization: <your-bearer-token>' \

Path parameters

Attribute	Description	Required
connectionKey string	The key to uniquely identify the connection. This is the same as the display name of the connection in the Immuta UI.	Yes

Response schema

Attribute	Description
connectionKey string	The key to uniquely identify the connection.
childCount integer	The number of child objects of the data object that were deleted.

Example response

{
  "objectPath": ['yourConnectionKey'],
  "childCount": 5
}

Step 3: Run the cleanup script in your data platform

Using the copied generated cleanup script from earlier, run it in your Snowflake or Databricks Unity Catalog environment as a privileged user.

The script will remove any objects that were initially created during the Register a connection process.