![]() Set the Databricks cluster: in the Configuration pane, click Cluster, and then click the gear ( Configure cluster) icon.Ĭlick the entry for the cluster that you want to use. Then press Enter.Ĭlick the entry DEFAULT: Authenticate using the DEFAULT profile. Set the Databricks workspace: in the Command Palette, for Databricks Host, enter your workspace instance URL, for example. Start configuring the extension: in the Configuration pane, click Configure Databricks. ![]() Open the extension: on the sidebar, click the Databricks logo. To complete the installation, follow the on-screen instructions. Install the extension: on the Databricks extension for Visual Studio Code page in the Visual Studio Code Marketplace, click Install. To complete this quickstart, follow these steps: You have already added your Databricks personal access token as a token field along with your workspace instance URL, for example, as a host field to the DEFAULT configuration profile in your local. See Databricks personal access token authentication. You have already generated a Databricks personal access token for your target Databricks workspace. Visual Studio Code is already running and has a local project opened. See Setting up Visual Studio Code and Getting Started with Python in VS Code. You already have Visual Studio Code 1.69.1 or higher installed and configured for Python coding. This section describes how to use the Databricks extension for Visual Studio Code to run a basic Python code file on a Databricks cluster in your remote workspace.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |