Getting Started with Azure Queue Storage

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Azure Queue Storage is a cloud-based message queue service that allows you to store and retrieve messages as a first-in, first-out (FIFO) queue.

You can create a queue by specifying a unique name, and Azure will automatically generate a URL for it.

To get started with Azure Queue Storage, you'll need to create a storage account and then create a queue within it.

Azure Queue Storage supports both HTTP and HTTPS protocols, and you can access it from anywhere in the world.

Getting Started

To begin working with Azure Queue, you'll need to install the Azure Storage Queue client library for JavaScript.

The preferred way to install this library is by using the npm package manager.

Type the following command into a terminal window:

This will get you set up and ready to start using Azure Queue.

Creating and Managing Queues

Creating a queue is a straightforward process in Azure. You can create a queue using Azure Storage Explorer by selecting the storage account from the dropdown, adding a new queue, and entering the name of the queue.

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To manage queues using PowerShell, you need to connect to your account and specify the storage account, then you can run the script to access your account and create a queue.

In Azure Queue Storage, queues can be found through the Azure Portal, Storage Accounts, and Storage Account, which contain queues that reside in Azure Storage accounts. These can be Standard or StandardV2 kinds of storage accounts.

Managing Using PowerShell

To manage queues using PowerShell, start by right-clicking on Windows PowerShell in the taskbar and choosing 'Run ISE as administrator'. This will give you the necessary permissions to access and manage your queues.

You'll need to connect to your account and specify the storage account, which can be done by running the commands shown in the steps outlined above.

Managing

Managing queues is a straightforward process. You can access your account using Windows PowerShell by right-clicking on Windows PowerShell in the taskbar and choosing 'Run ISE as administrator'.

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To connect to your account and specify the storage account, run the commands as shown in the previous steps. This will give you access to your account.

You can also manage queues using Azure Storage Explorer. Select the storage account from the dropdown at the top right to access your account.

To add a new queue, select 'Queues' from the left panel and click 'New'. This will create a new queue in your storage account.

Existing queues can be found in Azure Portal→ Storage Accounts → Storage Account → Queues. From here, you can click on a queue to examine its contents, create a new one, or delete it.

Only Standard and StandardV2 kinds of storage accounts can contain queues.

Queue Operations

Queue operations are the backbone of Azure queues, allowing you to manage messages with ease. You can insert a message into a queue by retrieving the queue and inserting the message, as simple as that.

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To send a message to the queue, use the sendMessage() method. This method adds a message to the queue, making it visible for other code to access.

When you need to peek at a message, use QueueClient.peekMessages() to look at one or more messages in front of the queue. This call doesn't prevent other code from accessing the peeked messages, so be aware of that.

Processing a message involves two steps: first, call queueClient.receiveMessages() to make the messages invisible to other code for a default period of 30 seconds, and then call queueClient.deleteMessage() with the message's popReceipt when processing is done.

If your code fails to process a message due to hardware or software failure, don't worry – the two-step process ensures that another instance of your code can get the same message and try again.

To listen to a queue, you'll need credentials that give access to the desired storage containers and queues, as well as the name of the Azure storage account and the queue you want to listen to.

Here's a quick rundown of the steps to listen to a queue:

  • Credentials: Choose the credentials that give access to the desired storage containers and queues.
  • Storage Account: The name of the Azure storage account that contains your desired queues.
  • Listen Queue: The name of the queue to listen for messages.

Queue Management

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To manage queues on Azure, you can use PowerShell, Azure Storage Explorer, or the Azure Portal.

You can run PowerShell as an administrator to access your account and manage queues. Simply right-click on Windows PowerShell in the taskbar, choose 'Run ISE as administrator', and replace the highlighted part with your account details.

Alternatively, you can use Azure Storage Explorer to manage queues. To do this, select your storage account from the dropdown at the top right, and then click on 'Queues' to add a new queue. You can also add and delete messages in the queue by selecting it in the left panel.

If you're using Matillion ETL, you'll need to set up queues in advance via the Azure Portal. This involves finding your storage account, clicking on 'Queues', and examining the contents of existing queues or creating new ones.

Success

Success is a great feeling, especially when it comes to queue management. You can enable success by placing a message on an Azure queue when your orchestration job has completed.

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To do this, you'll want to tick the "Enable Success" box. This will allow you to specify the queue on which to place success messages.

The name of the queue is crucial here, so make sure to fill in the "Success Queue" field correctly. This is where your success messages will be stored.

If you're concerned about hitting Azure Queue Storage limits, you can also tick the "Compress" box. This will gzip the body of the message on the queue, helping to keep things under control.

Here's a quick rundown of the key settings:

  • Enable Success: Ticks the box to place a message on an Azure queue when your orchestration job has completed.
  • Success Queue: Specifies the name of the queue on which to place success messages.
  • Compress: Gzips the body of the message on the queue to avoid hitting Azure Queue Storage limits.

Service Level Agreement

A Service Level Agreement (SLA) is a contract between you and your cloud provider that outlines the levels of service you can expect.

You can review the SLA for Queue Storage to understand the service levels that apply to your storage needs.

Azure pricing can be complex, so it's a good idea to talk to a sales specialist for a walk-through to get a better understanding of how it works.

You can get free cloud services and a $200 credit to explore Azure for 30 days, which is a great way to try out the platform and see how it can benefit your business.

Frequently Asked Questions

What is the difference between Azure queues and Service Bus?

Azure queues and Service Bus queues differ in their message size limits and data storage capacities, with Azure queues supporting larger messages and more data, but with a 7-day message expiration limit, whereas Service Bus queues have no expiration limit but smaller message size and data storage limits.

What is the difference between Azure table and queue?

Azure Tables store schemaless structured data, while Azure Queues provide a messaging system for reliable communication between application components. Choose between the two based on your data storage and messaging needs.

What is the difference between Azure queue and RabbitMQ?

Azure Service Bus and RabbitMQ are both messaging middleware, but they differ in their supported protocols, with Azure Service Bus supporting both AMQP and HTTP, while RabbitMQ primarily uses AMQP. This difference affects the messaging patterns and protocols available for each service, making them suitable for different use cases.

What is storage queue in Azure?

Azure Queue Storage is a service for storing large numbers of messages, accessible worldwide via authenticated HTTP or HTTPS calls. It allows storing millions of messages up to 64 KB in size per queue.

What is queue service in Azure?

Azure Queue Storage is a cloud-based service for storing and managing large numbers of messages, accessible from anywhere in the world via authenticated HTTP or HTTPS calls. It's ideal for handling high-volume message processing and can store millions of messages up to 64 KB in size.

Jeannie Larson

Senior Assigning Editor

Jeannie Larson is a seasoned Assigning Editor with a keen eye for compelling content. With a passion for storytelling, she has curated articles on a wide range of topics, from technology to lifestyle. Jeannie's expertise lies in assigning and editing articles that resonate with diverse audiences.

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