Managing secrets begins with creating a secret scope. A secret scope is collection of secrets identified by a name. A workspace is limited to a maximum of 100 secret scopes.
There are two types of secret scope: Azure Key Vault-backed and Databricks-backed.
Azure Key Vault-backed scopes
This feature is in Public Preview.
To reference secrets stored in an Azure Key Vault, you can create a secret scope backed by Azure Key Vault. You can then leverage all of the secrets in the corresponding Key Vault instance from that secret scope. Because the Azure Key Vault-backed secret scope is a read-only interface to the Key Vault, the
DeleteSecret Secrets API operations are not allowed. To manage secrets in Azure Key Vault, you must use the Azure SetSecret REST API or Azure portal UI.
Creating an Azure Key Vault-backed secret scope is supported only in the Azure Databricks UI. You cannot create a scope using the Secrets CLI or API.
A Databricks-backed secret scope is stored in (backed by) an encrypted database owned and managed by Azure Databricks. The secret scope name:
- Must be unique within a workspace.
- Must consist of alphanumeric characters, dashes, underscores, and periods, and may not exceed 128 characters.
The names are considered non-sensitive and are readable by all users in the workspace.
Scopes are created with permissions controlled by ACLs. By default, scopes are created with
MANAGE permission for the user who created the scope (the “creator”), which lets the creator read secrets in the scope, write secrets to the scope, and change ACLs for the scope. If your account has the Azure Databricks Premium Plan, you can assign granular permissions at any time after you create the scope. For details, see Secret access control.
You can also override the default and explicitly grant
MANAGE permission to all users when you create the scope. In fact, you must do this if your account does not have the Azure Databricks Premium Plan.
As a team lead, you might want to create different scopes for Azure Synapse Analytics and Azure Blob storage credentials and then provide different subgroups in your team access to those scopes. You should consider how to achieve this using the different scope types:
- If you use a Databricks-backed scope and add the secrets in those two scopes, they will be different secrets (Azure Synapse Analytics in scope 1, and Azure Blob storage in scope 2).
- If you use an Azure Key Vault-backed scope with each scope referencing a different Azure Key Vault and add your secrets to those two Azure Key Vaults, they will be different sets of secrets (Azure Synapse Analytics ones in scope 1, and Azure Blob storage in scope 2). These will work like Databricks-backed scopes.
- If you use two Azure Key Vault-backed scopes with both scopes referencing the same Azure Key Vault and add your secrets to that Azure Key Vault, all Azure Synapse Analytics and Azure Blob storage secrets will be available. Since ACLs are at the scope level, all members across the two subgroups will see all secrets. This arrangement does not satisfy your use case of restricting access to a set of secrets to each group.
This feature is in Public Preview.
Verify that you have Contributor permission on the Azure Key Vault instance that you want to use to back the secret scope.
If you do not have a Key Vault instance, follow the instructions in Quickstart: Create a Key Vault using the Azure portal.
https://<databricks-instance>#secrets/createScope. This URL is case sensitive; scope in
createScopemust be uppercase.
Enter the name of the secret scope. Secret scope names are case insensitive.
Use the Manage Principal drop-down to specify whether All Users have
MANAGEpermission for this secret scope or only the Creator of the secret scope (that is to say, you).
MANAGEpermission allows users to read and write to this secret scope, and, in the case of accounts on the Azure Databricks Premium Plan, to change permissions for the scope.
Your account must have the Azure Databricks Premium Plan for you to be able to select Creator. This is the recommended approach: grant
MANAGEpermission to the Creator when you create the secret scope, and then assign more granular access permissions after you have tested the scope. For an example workflow, see Secret workflow example.
If your account has the Standard Plan, you must set the
MANAGEpermission to the “All Users” group. If you select Creator here, you will see an error message when you try to save the scope.
For more information about the
MANAGEpermission, see Secret access control.
Enter the DNS Name (for example,
https://databrickskv.vault.azure.net/) and Resource ID, for example:
These properties are available from the Properties tab of an Azure Key Vault in your Azure portal.
Click the Create button.
Use the Databricks CLI
databricks secrets list-scopescommand to verify that the scope was created successfully.
For an example of using the secrets when accessing Azure Blob storage, see Mount an Azure Blob storage container.
Create a Databricks-backed secret scope
Secret scope names are case insensitive.
To create a scope using the Databricks CLI:
databricks secrets create-scope --scope <scope-name>
By default, scopes are created with
MANAGE permission for the user who created the scope. If your account does not have the Azure Databricks Premium Plan, you must override that default and explicitly grant the
MANAGE permission to “users” (all users) when you create the scope:
databricks secrets create-scope --scope <scope-name> --initial-manage-principal users
Once you have created a Databricks-backed secret scope, you can add secrets.
To list the existing scopes in a workspace:
databricks secrets list-scopes
Delete a secret scope
Deleting a secret scope deletes all secrets and ACLs applied to the scope. To delete a scope:
databricks secrets delete-scope --scope <scope-name>