Deploy a workspace with the Azure CLI

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This article explains how to create an Azure Databricks deployment using the Azure CLI.

Step 1: Sign in

Sign in using the az login command if you're using a local install of the CLI.

az cloud set -n AzureChinaCloud
az login
# az cloud set -n AzureCloud   //means return to Public Azure.

To sign in by using a Microsoft Entra ID service principal, see Azure CLI login with a Microsoft Entra ID service principal.

To sign in by using an Azure Databricks user account, see Azure CLI login with an Azure Databricks user account.

Step 2: Install the Azure CLI extension

When working with extension references for the Azure CLI, you must first install the extension. Azure CLI extensions give you access to experimental and pre-release commands that have not yet shipped as part of the core CLI. To learn more about extensions including updating and uninstalling, see Use extensions with Azure CLI.

Install the extension for databricks by running the following command:

az extension add --name databricks

Step 3: Create a resource group

Azure Databricks, like all Azure resources, must be deployed into a resource group. Resource groups allow you to organize and manage related Azure resources.

For this quickstart, create a resource group named databricks-quickstart in the chinaeast2 location with the following az group create command:

az group create --name databricks-quickstart --location chinaeast2

Step 4: Create an Azure Databricks workspace

Use the az databricks workspace create create an Azure Databricks workspace.

az databricks workspace create
    --resource-group databricks-quickstart \
    --name mydatabricksws  \
    --location chinaeast2  \
    --sku standard