Quickstart: Use Azure Cache for Redis with a Python app
In this quickstart, you incorporate Azure Cache for Redis into a Python script for access to a secure, dedicated cache that is accessible from any application in Azure.
Skip to the code
This article describes how to create a Python app and then modify the code to end up with a working sample app.
If you want to skip straight to the code, see the Python quickstart sample on GitHub.
Prerequisites
- An Azure subscription. Create one
- Python 3
- For macOS or Linux, download from python.org.
- For Windows 11, use the Windows Store.
Create a cache
To create a cache, sign in to the Azure portal and select Create a resource.
On the Get Started page, type Azure Cache for Redis in the search box. Then, select Create.
On the New Redis Cache page, configure the settings for your cache.
Setting Choose a value Description Subscription Drop down and select your subscription. The subscription under which to create this new Azure Cache for Redis instance. Resource group Drop down and select a resource group, or select Create new and enter a new resource group name. Name for the resource group in which to create your cache and other resources. By putting all your app resources in one resource group, you can easily manage or delete them together. DNS name Enter a unique name. The cache name must be a string between 1 and 63 characters that contain only numbers, letters, or hyphens. The name must start and end with a number or letter, and can't contain consecutive hyphens. Your cache instance's host name is <DNS name>.redis.cache.chinacloudapi.cn. Location Drop down and select a location. Select a region near other services that use your cache. Cache SKU Drop down and select a SKU. The SKU determines the size, performance, and features parameters that are available for the cache. For more information, see Azure Cache for Redis Overview. Cache size Drop down and select a size of your cache For more information, see Azure Cache for Redis Overview. Select the Networking tab or select the Networking button at the bottom of the page.
In the Networking tab, select your connectivity method.
Select the Next: Advanced tab or select the Next: Advanced button on the bottom of the page to see the Advanced tab.
- For Basic or Standard caches, toggle the selection for a non-TLS port. You can also select if you want to enable Microsoft Entra Authentication.
- For a Premium cache, configure the settings for non-TLS port, clustering, managed identity, and data persistence. You can also select if you want to enable Microsoft Entra Authentication.
Select the Next: Tags tab or select the Next: Tags button at the bottom of the page.
Optionally, in the Tags tab, enter the name and value if you wish to categorize the resource.
Select Review + create. You're taken to the Review + create tab where Azure validates your configuration.
After the green Validation passed message appears, select Create.
It takes a while for a cache to create. You can monitor progress on the Azure Cache for Redis Overview page. When Status shows as Running, the cache is ready to use.
Install the redis-py library
Redis-py is a Python interface to Azure Cache for Redis. Use the Python packages tool pip to install the redis-py package at a command line.
The following example uses pip3
for Python 3 to install redis-py on Windows 11 in an Administrator Command Prompt window.
Create a Python script to access your cache
Create a Python script that uses either Microsoft Entra ID or access keys to connect to Azure Cache for Redis. We recommend that you use Microsoft Entra ID.
Enable Microsoft Entra ID authentication on your cache
For an existing cache, first check to see if Microsoft Entra authentication is enabled. If it's not, complete the following steps to enable Microsoft Entra authentication. We recommend that you use Microsoft Entra ID for authentication in your applications.
In the Azure portal, select the Azure Cache for Redis instance where you'd like to use Microsoft Entra token-based authentication.
On the service menu, under Settings, select Authentication.
On the Authentication pane, check to see whether the Enable Microsoft Entra Authentication checkbox is selected. If it is, you can move on to the next section.
Otherwise, select the Enable Microsoft Entra Authentication checkbox. Then, enter the name of a valid user. Select Save. The user name that you enter is automatically assigned the Data Owner Access Policy.
You also can enter a managed identity or a service principal to connect to your cache.
In a dialog box, you're asked if you want to update your configuration, and you're informed that making the update takes several minutes to finish. Select Yes.
Important
When the enable operation is finished, the nodes in your cache reboot to load the new configuration. We recommend that you complete this operation during your standard maintenance window or outside your peak business hours. The process can take up to 30 minutes.
For information about using Microsoft Entra ID with the Azure CLI, see the identity reference pages.
Install Microsoft Authentication Library
Microsoft Authentication Library (MSAL) gets security tokens from the Microsoft identity platform to authenticate users.
To install MSAL:
Install MSAL for Python.
Install the Python Azure identity client library. The library uses MSAL to provide token authentication support.
Install this library by using pip:
pip install azure-identity
Create a Python script by using Microsoft Entra ID
Create a text file. Save the file as PythonApplication1.py.
In PythonApplication1.py, add and modify the following script.
In the script:
- Replace
<Your Host Name>
with the value from your Azure Cache for Redis instance. Your host name has the form<DNS name>.redis.cache.chinacloudapi.cn
. - Replace
<Your Username>
with the value for your Microsoft Entra ID user.
import redis from azure.identity import DefaultAzureCredential scope = "https://redis.azure.com/.default" host = "<Your Host Name>" port = 6380 user_name = "<Your Username>" def hello_world(): cred = DefaultAzureCredential() token = cred.get_token(scope) r = redis.Redis(host=host, port=port, ssl=True, # ssl connection is required. username=user_name, password=token.token, decode_responses=True) result = r.ping() print("Ping returned : " + str(result)) result = r.set("Message", "Hello!, The cache is working with Python!") print("SET Message returned : " + str(result)) result = r.get("Message") print("GET Message returned : " + result) result = r.client_list() print("CLIENT LIST returned : ") for c in result: print(f"id : {c['id']}, addr : {c['addr']}") if __name__ == '__main__': hello_world()
- Replace
Before you run your Python code in a terminal, authorize the terminal to use Microsoft Entra ID:
azd auth login
Run the PythonApplication1.py file by using Python. Verify that the output looks similar to this example:
Create a Python script by using reauthentication
A Microsoft Entra ID access token has a limited lifespan of approximately 75 minutes. To maintain a connection to your cache, you must refresh the token.
This example demonstrates how to refresh a token by using Python.
Create a text file. Save the file as PythonApplication2.py.
In PythonApplication2.py, add and modify the following script.
In the script:
- Replace
<Your Host Name>
with the value from your Azure Cache for Redis instance. Your host name has the form<DNS name>.redis.cache.chinacloudapi.cn
. - Replace
<Your Username>
with the value for your Microsoft Entra ID user.
import time import logging import redis from azure.identity import DefaultAzureCredential scope = "https://redis.azure.com/.default" host = "<Your Host Name>" port = 6380 user_name = "<Your Username>" def re_authentication(): _LOGGER = logging.getLogger(__name__) cred = DefaultAzureCredential() token = cred.get_token(scope) r = redis.Redis(host=host, port=port, ssl=True, # ssl connection is required. username=user_name, password=token.token, decode_responses=True) max_retry = 3 for index in range(max_retry): try: if _need_refreshing(token): _LOGGER.info("Refreshing token...") tmp_token = cred.get_token(scope) if tmp_token: token = tmp_token r.execute_command("AUTH", user_name, token.token) result = r.ping() print("Ping returned : " + str(result)) result = r.set("Message", "Hello!, The cache is working with Python!") print("SET Message returned : " + str(result)) result = r.get("Message") print("GET Message returned : " + result) result = r.client_list() print("CLIENT LIST returned : ") for c in result: print(f"id : {c['id']}, addr : {c['addr']}") break except redis.ConnectionError: _LOGGER.info("Connection lost. Reconnecting.") token = cred.get_token(scope) r = redis.Redis(host=host, port=port, ssl=True, # ssl connection is required. username=user_name, password=token.token, decode_responses=True) except Exception: _LOGGER.info("Unknown failures.") break def _need_refreshing(token, refresh_offset=300): return not token or token.expires_on - time.time() < refresh_offset if __name__ == '__main__': re_authentication()
- Replace
Run the PythonApplication2.py file by using Python. Verify that the output looks similar to this example:
Unlike in the preceding example, if your token expires, the code in this example automatically refreshes the token.
Clean up resources
If you want to continue to use the resources you created in this article, keep the resource group.
Otherwise, to avoid charges related to the resources, if you're finished using the resources, you can delete the Azure resource group that you created.
Warning
Deleting a resource group is irreversible. When you delete a resource group, all the resources in the resource group are permanently deleted. Make sure that you do not accidentally delete the wrong resource group or resources. If you created the resources inside an existing resource group that has resources you want to keep, you can delete each resource individually instead of deleting the resource group.
Delete a resource group
Sign in to the Azure portal, and then select Resource groups.
Select the resource group to delete.
If there are many resource groups, in Filter for any field, enter the name of the resource group you created to complete this article. In the list of search results, select the resource group.
Select Delete resource group.
In the Delete a resource group pane, enter the name of your resource group to confirm, and then select Delete.
Within a few moments, the resource group and all of its resources are deleted.