1. Token Management for Databricks Cluster Access Control


    Token management in Databricks is a critical aspect for automated workflows and secure access to services. By generating tokens, you can authenticate programmatically to the Databricks REST API and manage clusters, jobs, and other resources. Databricks tokens are associated with individual users, and actions taken with the tokens are attributed to those users.

    In Pulumi, you can manage Databricks tokens by using the databricks.Token resource provided by the Databricks provider. This allows you to create, manage, and revoke tokens as needed.

    Below is a Pulumi program written in Python that demonstrates how to manage a Databricks token. In this program, we will create a token and output its value, which could then be used to authenticate to the Databricks REST API.

    import pulumi import pulumi_databricks as databricks # Create a Databricks token. # The `lifetime_seconds` argument determines the duration of the token's validity. # You can specify the duration as needed; here, the token will be valid for one day (86400 seconds). databricks_token = databricks.Token("my-databricks-token", lifetime_seconds=86400, # The token will expire after 1 day. comment="Pulumi managed Databricks token") # Export the token value. # Note that this will be visible in the Pulumi output and should be treated as sensitive information. pulumi.export("databricks_token_value", databricks_token.token_value) # IMPORTANT: It is best practice not to output sensitive information like token values as shown above. # In production scenarios, consider securing such outputs using Pulumi's secrets management or storing them # in a secret store.

    In this program:

    • We import the required Pulumi Databricks package.
    • We create a Databricks token using databricks.Token and provide it with a comment and a lifetime duration measured in seconds.
    • We're exporting the token's value so that you can use it outside of Pulumi, such as setting it as an environment variable for CI/CD pipelines or other automated systems that interact with the Databricks REST API.

    Please note that exporting sensitive data such as token values is not recommended in production environments. Pulumi supports secrets management, allowing you to encrypt sensitive data and manage it securely.

    Before running this program, make sure you have configured Pulumi with the necessary credentials and settings to interact with the Databricks provider. Typically this involves setting up a Service Principal with the appropriate permissions in Databricks and configuring the Pulumi Databricks provider with these details.