#Databricks workspace how to

Command Line Interface subcommands by appending to databricks libraries. Instance Pools CLI: This pool CLI requires Databricks with 0.9.0v or above it. Command Line Interface subcommands are appended to databricks groups You can also configure an email address of someone to be notified if the provisioning fails.Command to run Clusters CLI subcommands(Need to appends with the mentioned command): databricks clusters –hĭBFS CLI: DBFS CLI Commands are run by appending them to databricks fs or dbfs: databricks fs –h Within Setting ensure that you select “Sync only assigned users and groups” ( Note: If you select “all” everything your aad directory will be sync’d into your workspace – which you may want, but I suspect that is not what you are aiming for….) (when I did this I had to close and re-open the page before the Setting section appeared) Within the same screen, after you hit ‘save’, a Setting section will become available to edit. Once the connection is working hit “save” Once you have added your values, Test the connection. URL: Token: Generated within the Databricks workspaceĪdd the two values as shown above.

When adding the URL, you will need to append the URL with /api/2.0/preview/scim

#Databricks workspace how to

Read here for details of how to generate tokens

You will need two things at this point, 1) the URL of your workspace and 2) a secret token from the Databricks workspace. Here I have created an AAD group called AnalyticalDBRDeveloperGroup within the Azure Active Directory This steps is really a prerequisite to the process and sets up your AAD group/s. But, thankfully, there is a process using SCIM integration that allows you to surface AAD groups in Databricks.Ĭreate your AAD group in Azure Active Directory Unfortunately AAD groups don’t automatically appear in your workspace. As a result, ideally you would use AAD groups as the basis of your access control.

Typically, in my experience, there is an expectation that AAD group will be used for as the bases of access control in a formal/ corporate processes. In a corporate environment it is likely that AAD groups (rather than Databricks groups) will already exist, and will be maintained as part of formal processes and used across systems (or in our case Workspaces). Once the user account has been added to the workspace, you can group them using Databricks groups and assign permissions at that level. Whilst this is fairly well documented, I thought the instructions would benefit from a few pictures.īy default, in Databricks, you can assign permissions to the individual Azure AAD accounts that exist in your AAD directory using the Admin Console in the Databricks Workspace. One thing to note, this feature does not support nested groups so only explicitly assigned members of the chosen groups will be exposed in the Databricks workspace. Configure which AAD groups you want to keep in sync and surface in your Workspace Configure/ link the provisioning of the Enterprise Application to the Databricks workspace As we will see, you will need one of these per Workspace Create of an Azure Enterprise Application, this will be based on the Azure Databricks SCIM Provisioning Connection template. Ensuring your AAD groups are created and ready to surface in your Databricks Workspace In order to allow Databricks to use Azure AAD groups for access control you will need to set up SCIM integration which, in summary, consists of Within Azure AAD, user accounts are automatically available and visible to use for access control within Databricks, however surfacing AAD Groups requires a bit more work.