gitignore file to the project if the file does not exist or if an existing. This file contains the URL that you entered, along with some Databricks authentication details that the Databricks extension for Visual Studio Code needs to operate. The extension also creates in this folder a file named project.json if it does not already exist. The extension creates a hidden folder in your project named. ![]() If the Databricks extension for Visual Studio Code detects an existing matching Databricks configuration profile for the URL, you can select it in the list.Ĭlick Edit Databricks profiles to open your Databricks configuration profiles file and create a configuration profile manually. In the Command Palette, for Databricks Host, enter your workspace instance URL, for example. The Databricks extension for Visual Studio Code does not support OAuth M2M authentication. OAuth machine-to-machine (M2M) authentication Depending on the type of authentication that you want to use, finish your setup by completing the following instructions in the specified order:ĭatabricks personal access token authenticationĬreate or identify an access token, as specified in Databricks personal access token authentication.Ĭreate or identify a Databricks configuration profile with the required fields, as specified in Databricks personal access token authentication.įinish setting up authentication by continuing with Set up authentication with a configuration profile.įinish setting up your project by setting the cluster and setting the workspace directory.Ĭreate or identify a Databricks configuration profile with the required fields, as specified in Basic authentication.įinish setting up authentication by by continuing with Set up authentication with a configuration profile. It enables you to configure Databricks authentication once and then use that configuration across multiple Databricks tools and SDKs without further authentication configuration changes.īefore you can use the Databricks extension for Visual Studio Code, you must set up authentication between the Databricks extension for Visual Studio Code and your Databricks workspace. This approach helps make setting up and automating authentication with Databricks more centralized and predictable. The Databricks extension for Visual Studio Code implements portions of the Databricks client unified authentication standard, a consolidated and consistent architectural and programmatic approach to authentication.
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