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Account management operations on Azure Data Lake Storage Gen1 using Python

  • Άρθρο

Learn how to use the Python SDK for Azure Data Lake Storage Gen1 to perform basic account management operations such as create a Data Lake Storage Gen1 account, list the Data Lake Storage Gen1 accounts, etc. For instructions on how to perform filesystem operations on Data Lake Storage Gen1 using Python, see Filesystem operations on Data Lake Storage Gen1 using Python.

Prerequisites

Install the modules

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

Use the following commands to install the modules.

pip install azure-identity
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:

    # Acquire a credential object for the app identity. When running in the cloud,
# DefaultAzureCredential uses the app's managed identity (MSI) or user-assigned service principal.
# When run locally, DefaultAzureCredential relies on environment variables named
# AZURE_CLIENT_ID, AZURE_CLIENT_SECRET, and AZURE_TENANT_ID.
from azure.identity import DefaultAzureCredential

## Required for Data Lake Storage Gen1 account management
from azure.mgmt.datalake.store import DataLakeStoreAccountManagementClient
from azure.mgmt.datalake.store.models import CreateDataLakeStoreAccountParameters

## Required for 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, getpass, pprint, uuid, time

  3. Save changes to mysample.py.

Authentication

In this section, we talk about the different ways to authenticate with Microsoft Entra ID. The options available are:

Create client and Data Lake Storage Gen1 account

The following snippet first creates the Data Lake Storage Gen1 account client. It uses the client object to create a Data Lake Storage Gen1 account. Finally, the snippet creates a filesystem client object.

## Declare variables
subscriptionId = 'FILL-IN-HERE'
adlsAccountName = 'FILL-IN-HERE'
resourceGroup = 'FILL-IN-HERE'
location = 'eastus2'
credential = DefaultAzureCredential()

## Create Data Lake Storage Gen1 account management client object
adlsAcctClient = DataLakeStoreAccountManagementClient(credential, subscription_id=subscriptionId)

## Create a Data Lake Storage Gen1 account
adlsAcctResult = adlsAcctClient.accounts.begin_create(
    resourceGroup,
    adlsAccountName,
    CreateDataLakeStoreAccountParameters(
        location=location
    )
)

List the Data Lake Storage Gen1 accounts

## List the existing Data Lake Storage Gen1 accounts
result_list_response = adlsAcctClient.accounts.list()
result_list = list(result_list_response)
for items in result_list:
    print(items)

Delete the Data Lake Storage Gen1 account

## Delete an existing Data Lake Storage Gen1 account
adlsAcctClient.accounts.begin_delete(resourceGroup, adlsAccountName)

Next steps

See also