1. Version Control of Databricks Notebooks with Git Repositories


    To version control Databricks notebooks with Git repositories using Pulumi, we'll use the Databricks provider to create a Git Credential in Databricks. The databricks.GitCredential resource allows us to set up the integration between Databricks and a Git provider, so that the changes to notebooks can be tracked using version control.

    Here's a step-by-step approach:

    1. Create Git Credentials for Databricks: We'll set up Git credentials so that Databricks can authenticate to the Git repository. We need to specify the gitProvider, and if you're using a personal access token for authentication, the personalAccessToken property should be set.

    2. Link Databricks and the Git Repository: Once the Git credentials are set up, Databricks can interact with the associated Git repository. You can then pull and push notebook changes to and from the Git repository.

    3. Manage Notebook Changes: With Databricks integrated with Git, you can make changes to notebooks directly from the Databricks workspace and save (commit) these changes to the Git repository. This allows you to maintain a version history and collaborate with other developers.

    Below is a Python program that creates a Git Credential in Databricks using Pulumi:

    import pulumi import pulumi_databricks as databricks # Create a Git Credential in Databricks # Replace the placeholder values with your Git provider (like 'github') and personal access token. git_credential = databricks.GitCredential("gitCredential", git_provider="github", # For GitHub, can be others like 'bitbucket', 'gitlab', etc. personal_access_token="YOUR_PERSONAL_ACCESS_TOKEN" # Your personal access token (keep it secret!) ) # Export the ID of the Git Credential pulumi.export("git_credential_id", git_credential.id)

    When you run this program using Pulumi, it will create a Git Credential that you can use within the Databricks environment to link with your Git repository. Be sure to replace YOUR_PERSONAL_ACCESS_TOKEN with an actual personal access token from your Git provider.

    Please note that handling secrets like personal access tokens directly in code is not recommended for production scenarios. Instead, you should use secret management solutions such as Pulumi's config secrets, environment variables, or a dedicated secret manager.

    Once this setup is complete, you can go to the Databricks workspace and start using Git features to version control your notebooks. You'll be able to commit changes, create branches, and collaborate with others through merge requests or pull requests directly from Databricks.

    Remember to apply Pulumi best practices for managing secrets and sensitive data when using this code in a real-world scenario.