How To Create Secret Scope In Databricks

Creating a Secret Scope in Databricks

Creating a secret scope in Databricks is essential for securely managing sensitive information such as credentials. Here’s how you can create a secret scope using the Databricks CLI or the Databricks workspace UI.

Using the Databricks CLI

To create a secret scope using the Databricks CLI (version 0.205 and above), follow these steps:

1. Open your terminal and ensure you have the Databricks CLI installed and configured.
2. Create a secret scope by running the command:
   databricks secrets create-scope
   Replace with your desired scope name. By default, the scope is created with MANAGE permission for the user who created it.
3. Verify the scope creation by listing all scopes using:
   databricks secrets list-scopes

Using the Databricks Workspace UI

To create a secret scope via the Databricks workspace UI:

1. Access your Databricks workspace by navigating to https://#secrets/createScope. Replace with your workspace URL.
2. Enter the scope name and select the manage principal (either Creator or All workspace users) to define who has MANAGE permission.
3. Click Create to finalize the scope creation.

Frequently Asked Questions

FAQs

• Q: What are the requirements for a secret scope name?

  A: Secret scope names must be unique within a workspace, consist of alphanumeric characters, dashes, underscores, @, and periods, and cannot exceed 128 characters. They are case insensitive.

• Q: How do I add secrets to a scope?

  A: You can add secrets using the Databricks CLI with commands like databricks secrets put-secret or via the Databricks SDK for Python.

• Q: Can I use Azure Key Vault for secret scopes?

  A: Yes, you can create an Azure Key Vault-backed secret scope in Databricks. This involves using Azure Key Vault to store and manage your secrets.

• Q: Who can read Databricks secrets?

  A: Administrators, secret creators, and users granted permission can read Databricks secrets.

• Q: How do I access secrets in a notebook?

  A: You can access secrets in a notebook using the Databricks Utilities, specifically dbutils.secrets.get().

• Q: Can I delete a secret scope?

  A: Yes, you can delete a secret scope using the Databricks CLI command databricks secrets delete-scope . This action deletes all secrets and ACLs associated with the scope.

• Q: What happens to secrets when a scope is deleted?

  A: When a secret scope is deleted, all secrets and ACLs (Access Control Lists) applied to that scope are also deleted.

Bottom Line

Creating a secret scope in Databricks is a straightforward process that enhances security by allowing you to store and manage sensitive information securely. Whether using the CLI or the UI, Databricks provides flexible options for managing secrets effectively.

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