databricks-cli-from-azure-cloud-shell.md

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Use Databricks CLI from Azure Cloud Shell | Microsoft Docs	Learn how to use the Databricks CLI from Azure Cloud Shell.	azure-databricks		nitinme	cgronlun	cgronlun	azure-databricks	big-data	na	na	article	05/29/2018	nitinme

Use Databricks CLI from Azure Cloud Shell

Learn how to use the Databricks CLI from Azure Cloud Shell to perform operations on Databricks.

Prerequisites

• An Azure Databricks workspace and cluster. For instructions, see Get started with Azure Databricks.

• Set up a personal access token in Databricks. For instructions, see Token management.

Use the Azure Cloud Shell

1. Log in to the Azure portal.

2. From the top-right corner, click the Cloud Shell icon.

   

3. Make sure you select Bash for the Cloud Shell environment. You can select from the drop-down option, as shown in the following screenshot.

   

4. Create a virtual environment in which you can install the Databricks CLI. In the snippet below, you create a virtual environment called databrickscli.

   virtualenv -p /usr/bin/python2.7 databrickscli
   

5. Switch to the virtual environment you created.

   source databrickscli/bin/activate
   

6. Install the Databricks CLI.

   pip install databricks-cli
   

7. Set up authentication with Databricks by using the access token that you must have created, listed as part of prerequisites. Use the following command:

   databricks configure --token
   

   You will receive the following prompts:

   • First, you are prompted to enter the Databricks host. Enter the value in the format https://eastus2.azuredatabricks.net. Here, East US 2 is the Azure region where you created your Azure Databricks workspace.

   • Next, you are prompted to enter a token. Enter the token that you created earlier.

Once you complete these steps, you can start using Databricks CLI from Azure Cloud Shell.

Use Databricks CLI

You can now start using the Databricks CLI. For example, run the following command to list all the Databricks clusters that you have in your workspace.

databricks clusters list

You can also use the following command to access the Databricks filesystem (DBFS).

databricks fs ls

For a complete reference on commands, see Databricks CLI.

Next steps

• To learn more about Azure CLI, see Azure CLI overview
• To see a list of commands for Azure CLI, see Azure CLI reference
• To see a list of commands for Databricks CLI, see Databricks CLI