How to use Azure Queue storage from Python
This article demonstrates common scenarios using the Azure Queue storage service. The scenarios that are covered include inserting, peeking, getting, and deleting queue messages. Code for creating and deleting queues is also covered.
What is Queue storage?
Azure Queue storage is a service for storing large numbers of messages that can be accessed from anywhere in the world via authenticated calls using HTTP or HTTPS. A single queue message can be up to 64 KB in size, and a queue can contain millions of messages, up to the total capacity limit of a storage account. Queue storage is often used to create a backlog of work to process asynchronously.
Queue service concepts
The Azure Queue service contains the following components:
Storage Account: All access to Azure Storage is done through a storage account. For more information about storage accounts, see Storage account overview.
Queue: A queue contains a set of messages. All messages must be in a queue. Note that the queue name must be all lowercase. For information on naming queues, see Naming Queues and Metadata.
Message: A message, in any format, of up to 64 KB. The maximum time that a message can remain in the queue is 7 days. For version 2017-07-29 or later, the maximum time-to-live can be any positive number, or -1 indicating that the message doesn't expire. If this parameter is omitted, the default time-to-live is seven days.
URL format: Queues are addressable using the following URL format: http://
The following URL addresses a queue in the diagram:
Create an Azure storage account
If you prefer not to create a storage account in Azure at this time, you can also use the Azurite storage emulator to run and test your code in a local environment. For more information, see Use the Azurite emulator for local Azure Storage development.
Download and install Azure Storage SDK for Python
The Azure Storage SDK for Python requires Python version 2.7, 3.3, or later.
Install via PyPI
To install via the Python Package Index (PyPI), type:
If you are upgrading from the Azure Storage SDK for Python version 0.36 or earlier, uninstall the older SDK using
pip uninstall azure-storage before installing the latest package.
For alternative installation methods, see Azure SDK for Python.
Copy your credentials from the Azure portal
When the sample application makes a request to Azure Storage, it must be authorized. To authorize a request, add your storage account credentials to the application as a connection string. View your storage account credentials by following these steps:
Sign in to the Azure portal.
Locate your storage account.
In the Settings section of the storage account overview, select Access keys. Here, you can view your account access keys and the complete connection string for each key.
Find the Connection string value under key1, and select the Copy button to copy the connection string. You will add the connection string value to an environment variable in the next step.
Configure your storage connection string
After you have copied your connection string, write it to a new environment variable on the local machine running the application. To set the environment variable, open a console window, and follow the instructions for your operating system. Replace
<yourconnectionstring> with your actual connection string.
setx AZURE_STORAGE_CONNECTION_STRING "<yourconnectionstring>"
After you add the environment variable in Windows, you must start a new instance of the command window.
After you add the environment variable, restart any running programs that will need to read the environment variable. For example, restart your development environment or editor before continuing.
Configure your application to access queue storage
The QueueClient object lets you work with a queue. Add the following code near the top of any Python file in which you wish to programmatically access an Azure queue:
from azure.storage.queue import ( QueueClient, BinaryBase64EncodePolicy, BinaryBase64DecodePolicy ) import os, uuid
os package provides support to retrieve an environment variable. The
uuid package provides support for generating a unique identifier for a queue name.
Create a queue
The connection string is retrieved from the
AZURE_STORAGE_CONNECTION_STRING environment variable set earlier.
The following code creates a
QueueClient object using the storage connection string.
# Retrieve the connection string from an environment # variable named AZURE_STORAGE_CONNECTION_STRING connect_str = os.getenv("AZURE_STORAGE_CONNECTION_STRING") # Create a unique name for the queue queue_name = "queue-" + str(uuid.uuid4()) # Instantiate a QueueClient object which will # be used to create and manipulate the queue print("Creating queue: " + queue_name) queue_client = QueueClient.from_connection_string(connect_str, queue_name) # Create the queue queue_client.create_queue()
Insert a message into a queue
To insert a message into a queue, use the send_message method.
message = u"Hello World" print("Adding message: " + message) queue_client.send_message(message)
Azure queue messages are stored as text. If you want to store binary data, setup Base64 encoding and decoding functions before putting a message in the queue.
Configure Base64 encoding and decoding functions on the queue client object.
# Setup Base64 encoding and decoding functions queue_client.message_encode_policy = BinaryBase64EncodePolicy() queue_client.message_decode_policy = BinaryBase64DecodePolicy()
Peek at messages
You can peek at messages without removing them from the queue by calling the peek_messages method. By default,
peek_messages peeks at a single message.
# Peek at the first message messages = queue_client.peek_messages() for peeked_message in messages: print("Peeked message: " + peeked_message.content)
Change the contents of a queued message
You can change the contents of a message in-place in the queue. If the message represents a task, you can use this feature to update the status of the task.
The code below uses the update_message method to update a message. The visibility timeout is set to 0, meaning the message appears immediately and the content is updated.
messages = queue_client.receive_messages() list_result = next(messages) message = queue_client.update_message( list_result.id, list_result.pop_receipt, visibility_timeout=0, content=u'Hello World Again') print("Updated message to: " + message.content)
Get the queue length
You can get an estimate of the number of messages in a queue.
The get_queue_properties method asks the queue service to return properties about the queue, including the
properties = queue_client.get_queue_properties() count = properties.approximate_message_count print("Message count: " + str(count))
The result is only approximate because messages can be added or removed after the queue service responds to your request.
Remove a message from a queue in two steps. If your code fails to process a message, this two-step process ensures that you can get the same message and try again. Call
delete_message after the message has been successfully processed.
When you call receive_messages, you get the next message in the queue by default. A message returned from
receive_messages becomes invisible to any other code reading messages from this queue. By default, this message stays invisible for 30 seconds. To finish removing the message from the queue, you must also call delete_message.
messages = queue_client.receive_messages() for message in messages: print("Dequeueing message: " + message.content) queue_client.delete_message(message.id, message.pop_receipt)
There are two ways you can customize message retrieval from a queue. First, you can get a batch of messages (up to 32). Second, you can set a longer or shorter invisibility timeout, allowing your code more or less time to fully process each message.
The following code example uses the receive_messages method to get messages in batches. Then it processes each message within each batch by using a nested
for loop. It also sets the invisibility timeout to five minutes for each message.
messages = queue_client.receive_messages(messages_per_page=5, visibility_timeout=5*60) for msg_batch in messages.by_page(): for msg in msg_batch: print("Batch dequeue message: " + msg.content) queue_client.delete_message(msg)
Delete a queue
To delete a queue and all the messages contained in it, call the delete_queue method.
print("Deleting queue: " + queue_client.queue_name) queue_client.delete_queue()
Try the Microsoft Azure Storage Explorer
Microsoft Azure Storage Explorer is a free, standalone app from Microsoft that enables you to work visually with Azure Storage data on Windows, macOS, and Linux.
Now that you've learned the basics of queue storage, follow these links to learn more.