![]() ![]() The movie moves between present-day and the 1940s. This will create a new AAD token for your Azure Service Principal and save its value in the DATABRICKS_TOKENĮnvironment variable for use in subsequent steps.This story plays out as Duke, played by James Garner, reads a story about two young people in the 1940s who fall in love and endure life. The Application (client) Id should be stored as AZURE_SP_APPLICATION_ID, Directory (tenant) Id as AZURE_SP_TENANT_ID, and client secret as AZURE_SP_CLIENT_SECRET.Īdd the following step at the start of your GitHub workflow. Store your service principal credentials into your GitHub repository secrets. Use the Service Principal in your GitHub Workflow ![]() Use the client or application Id of your service principal as the applicationId of the service principal in the add-service-principal payload. tenantId: this is the tenant or directory Id of your service principal.Īfter you create an Azure Service Principal, you should add it to your Azure Databricks workspace using the SCIM API.clientSecret: this is the client service of your service princiapl.clientId: this is the client or application Id of your service principal.Specifying the subscription and resource group of your Azure Databricks workspace, to create a service principal and client secret.įrom the resulting JSON output, record the following values: Run az ad sp create-for-rbac -n -sdk-auth -scopes /subscriptions//resourceGroups/ -sdk-auth -role contributor,.Run az login to authenticate with Azure.Record the Application (client) Id, Directory (tenant) Id, and client secret values generated by the steps. The first way is via the Azure Portal UI. Here are two ways that you can create an Azure Service Principal. Azureįor security reasons, we recommend using a Databricks service principal AAD token. You canĪnd generate an API token on its behalf. AWSįor security reasons, we recommend creating and using a Databricks service principal API token. GitHub-hosted action runners have a wide range of IP addresses, making it difficult to whitelist. Note: we recommend that you do not run this Action against workspaces with IP restrictions. The following section lists recommended approaches for token creation by cloud. We recommend that you store the Databricks REST API token in GitHub Actions secrets If supplying the workspace-notebook-path parameter, "Can read" permissions on the specified notebook.Workspace-temp-dir parameter (the /tmp/databricks-github-actions directory if workspace-temp-dir is unspecified). If supplying the local-notebook-path parameter, "Can manage" permissions on the directory specified by the.You can associate git credentials with your principal by creating a git credential entry using your principal's API token. However, your principal must have Git integration configured ( AWS | Azure | GCP). If supplying local-notebook-path with one of the git-commit, git-tag, or git-branch parameters, no workspace.If running the notebook against a new cluster (recommended), or "Can restart" permission, if running the notebook GCP): Allow unrestricted cluster creation entitlement, Token must be associated with a principal with the following permissions: To use this Action, you need a Databricks REST API token to trigger notebook execution and await completion. You can use this Action to trigger code execution on Databricks for CI (e.g. ![]() failing if the Databricks job run fails.Job run ID, and job run page URL as Action output optionally using a Databricks job run name.optionally triggering the Databricks job run with a timeout.granting other users permission to view results) ![]() optionally configuring permissions on the notebook run (e.g.optionally installing libraries on the cluster before running the notebook.Given a Databricks notebook and cluster specification, this Action runs the notebook as a one-time Databricks Job ![]()
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