Azure Function to consume RabbitMQ messages

by Sandro Pereira | Jul 11, 2023 | BizTalk Community Blogs via Syndication

Unfortunately, no Logic App connector can make the bridge to RabbitMQ, which makes this integration challenge a little bit more complicated. However, we have the ability to create an Azure Function by using the RabbitMQ trigger for Azure Functions to overpass this limitation.

Azure Functions integrates with RabbitMQ via triggers and bindings. The Azure Functions RabbitMQ extension allows you to send and receive messages using the RabbitMQ API with Functions.

So we pretend here to have an Azure Function that triggers when a message enters the queue and then routes that message into a Logic App.

And what does this Azure Function do?

This Azure Function is triggered by a RabbitMQ message in a specified queue. When a message arrives, the function is executed and performs the following steps:

• Logs an information message indicating that the function has been triggered.
• Prepares the payload for a request by creating an object with a “Message” property containing the content of the RabbitMQ message.
• Serializes the payload object into a JSON string.
• Creates an HTTP request with the JSON payload as the content and sets the content type to “application/json“.
• Defines the URL of a Logic App that will receive the HTTP request.
• Sends the HTTP request to the Logic App using the URL and payload.
• Check the response status of the request.
  • If the request is successful (status code in the 2xx range), logs an information message indicating that the request was sent to the Logic App successfully.
  • If the request fails (status code outside the 2xx range), logs an error message indicating the failure and includes the response’s status code.

In summary, this Azure Function acts as a bridge between a RabbitMQ queue and a Logic App. It receives messages from RabbitMQ, sends them as JSON payloads to a specified Logic App endpoint via an HTTP request, and logs the success or failure of the request.

To create the Azure Function, we need to:

• In Visual Studio 2022, click on Create a new project.

• On the project template, choose Azure Functions.

• On the Configure your new project panel, give your Azure Function a name that makes sense to you and your coworkers, do not forget to start using proper names from day one! Choose the location of your Azure Function.

• Click next, and now you need to configure some fields:
  • On the Function worker, choose .NET 6.0 (Long Term Support).
  • On Function, select the RabbitMQ trigger.
  • On the Connection string setting name, you can name the connection string as RabbitMQConnection.
  • On the Queue name, add the name of the queue you created previously.

• Click on Create. After the project is created, use the following code you can find on GitHub here:

Add these NuGet packages to the solution.

Next on the file local.settings.json is where you will store the connection string that will make it possible to connect with RabbitMQ and to do that, this is how the file should look like:

{
   "IsEncrypted": false,
   "Values": {
      "AzureWebJobsStorage": "UseDevelopmentStorage=true",
      "RabbitMQConnection": "amqp://user:[email protected]:5672/my-vhost-v2"
   }
}

Notice that you need to apply the proper configuration to the RabbitMQConnection keyword.

• amqp://user:[email protected]:5672/my-vhost-v2 is just an example, but only the password and IP are fictitious in this example because you should have your own.

Where can I download it?

You can download the complete Azure Functions source code here:

Hope you find this helpful! So, if you liked the content or found it helpful and want to help me write more content, you can buy (or help buy) my son a Star Wars Lego! 

Big thanks to my team member Luís Rigueira for helping me realize and implement this idea.

Author: Sandro Pereira

Sandro Pereira lives in Portugal and works as a consultant at DevScope. In the past years, he has been working on implementing Integration scenarios both on-premises and cloud for various clients, each with different scenarios from a technical point of view, size, and criticality, using Microsoft Azure, Microsoft BizTalk Server and different technologies like AS2, EDI, RosettaNet, SAP, TIBCO etc.

He is a regular blogger, international speaker, and technical reviewer of several BizTalk books all focused on Integration. He is also the author of the book “BizTalk Mapping Patterns & Best Practices”. He has been awarded MVP since 2011 for his contributions to the integration community.
View all posts by Sandro Pereira