6/29/2023 0 Comments Spark deliver![]() What is cluster access mode?Ĭluster access mode is a security feature that determines who can use a cluster and what data they can access via the cluster. To configure a cluster according to a policy, select a cluster policy from the Policy dropdown. Contact your administrator to request access to the Personal Compute policy or an appropriate equivalent policy. If you don’t see the Personal Compute policy as an option when you create a cluster, then you haven’t been given access to the policy. Cluster policies have ACLs that regulate which specific users and groups have access to certain policies.īy default, all users have access to the Personal Compute policy, allowing them to create single-machine compute resources. Cluster policyĬluster policies are a set of rules used to limit the configuration options available to users when they create a cluster. You can also use the Azure Databricks Terraform provider to create a cluster. Click Compute in the sidebar and then Create compute on the Compute page.To create a cluster using the user interface, you must be in the Data Science & Engineering or Machine Learning persona-based environment. The cluster worker and driver node types.The access mode, which controls the security features used when interacting with data.The cluster creation user interface lets you choose the cluster configuration specifics, including: For other methods, see Clusters CLI, the Clusters API, and Databricks Terraform provider. It focuses on creating and editing clusters using the UI. This article explains the configuration options available when you create and edit Azure Databricks clusters. For a comparison of the new and legacy cluster types, see Clusters UI changes and cluster access modes. To switch to the legacy create cluster UI, click UI Preview at the top of the create cluster page and toggle the setting to off.įor documentation on the non-Unity Catalog legacy UI, see Configure clusters. ![]() These instructions are for Unity Catalog enabled workspaces using the updated create cluster UI. ![]()
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