End-user authentication with Azure Data Lake Storage Gen1 using Python

• Using Java
• Using .NET SDK
• Using Python
• Using REST API

In this article, you learn about how to use the Python SDK to do end-user authentication with Azure Data Lake Storage Gen1. End-user authentication can further be split into two categories:

• End-user authentication without multi-factor authentication
• End-user authentication with multi-factor authentication

Both these options are discussed in this article. For service-to-service authentication with Data Lake Storage Gen1 using Python, see Service-to-service authentication with Data Lake Storage Gen1 using Python.

Prerequisites

• Python. You can download Python from here. This article uses Python 3.6.2.

• An Azure subscription. See Get Azure free trial.

• Create a Microsoft Entra ID "Native" Application. You must have completed the steps in End-user authentication with Data Lake Storage Gen1 using Microsoft Entra ID.

Install the modules

To work with Data Lake Storage Gen1 using Python, you need to install three modules.

• The azure-mgmt-resource module, which includes Azure modules for Active Directory, etc.
• The azure-mgmt-datalake-store module, which includes the Azure Data Lake Storage Gen1 account management operations. For more information on this module, see Azure Data Lake Storage Gen1 Management module reference.
• The azure-datalake-store module, which includes the Azure Data Lake Storage Gen1 filesystem operations. For more information on this module, see azure-datalake-store Filesystem module reference.

Use the following commands to install the modules.

pip install azure-mgmt-resource
pip install azure-mgmt-datalake-store
pip install azure-datalake-store

Create a new Python application

1. In the IDE of your choice, create a new Python application, for example, mysample.py.

2. Add the following snippet to import the required modules

   ## Use this for Azure AD authentication
   from msrestazure.azure_active_directory import AADTokenCredentials
   
   ## Required for Azure Data Lake Storage Gen1 account management
   from azure.mgmt.datalake.store import DataLakeStoreAccountManagementClient
   from azure.mgmt.datalake.store.models import DataLakeStoreAccount
   
   ## Required for Azure Data Lake Storage Gen1 filesystem management
   from azure.datalake.store import core, lib, multithread
   
    # Common Azure imports
    import adal
    from azure.mgmt.resource.resources import ResourceManagementClient
    from azure.mgmt.resource.resources.models import ResourceGroup
   
    ## Use these as needed for your application
    import logging, pprint, uuid, time
   

3. Save changes to mysample.py.

End-user authentication with multi-factor authentication

For account management

Use the following snippet to authenticate with Microsoft Entra ID for account management operations on a Data Lake Storage Gen1 account. The following snippet can be used to authenticate your application using multi-factor authentication. Provide the values below for an existing Microsoft Entra ID native application.

authority_host_url = "https://login.microsoftonline.com"
tenant = "FILL-IN-HERE"
authority_url = authority_host_url + '/' + tenant
client_id = 'FILL-IN-HERE'
redirect = 'urn:ietf:wg:oauth:2.0:oob'
RESOURCE = 'https://management.core.windows.net/'

context = adal.AuthenticationContext(authority_url)
code = context.acquire_user_code(RESOURCE, client_id)
print(code['message'])
mgmt_token = context.acquire_token_with_device_code(RESOURCE, code, client_id)
armCreds = AADTokenCredentials(mgmt_token, client_id, resource = RESOURCE)

For filesystem operations

Use this to authenticate with Microsoft Entra ID for filesystem operations on a Data Lake Storage Gen1 account. The following snippet can be used to authenticate your application using multi-factor authentication. Provide the values below for an existing Microsoft Entra ID native application.

adlCreds = lib.auth(tenant_id='FILL-IN-HERE', resource = 'https://datalake.azure.net/')

End-user authentication without multi-factor authentication

This is deprecated. For more information, see Azure Authentication using Python SDK.

Next steps

In this article, you learned how to use end-user authentication to authenticate with Azure Data Lake Storage Gen1 using Python. You can now look at the following articles that talk about how to use Python to work with Azure Data Lake Storage Gen1.

• Account management operations on Data Lake Storage Gen1 using Python
• Data operations on Data Lake Storage Gen1 using Python