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Azure Container Apps is a fully managed serverless container service that enables you to build and deploy modern, cloud-native Java applications and microservices at scale. It offers a simplified developer experience while providing the flexibility and portability of containers.

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Azure Container Apps is a fully managed serverless container service that enables you to build and deploy modern, cloud-native Java applications and microservices at scale. It offers a simplified developer experience while providing the flexibility and portability of containers.

Of course, Azure Container Apps has really solid support for our ecosystem, from a number of build options, managed Java components, native metrics, dynamic logger, and quite a bit more.

To learn more about Java features on Azure Container Apps, you can get started over on the documentation page.

And, you can also ask questions and leave feedback on the Azure Container Apps GitHub page.

Partner – Orkes – NPI EA (cat=Spring)
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1. Introduction

In this tutorial, we’ll explore the concept of fanout and topic exchanges with Spring AMQP and RabbitMQ.

At a high level, fanout exchanges will broadcast the same message to all bound queues, while topic exchanges use a routing key for passing messages to a particular bound queue or queues.

Prior reading of Messaging With Spring AMQP is recommended for this tutorial.

2. Setting Up a Fanout Exchange

Let’s set up one fanout exchange with two queues bound to it. When we send a message to this exchange both queues will receive the message. Our fanout exchange ignores any routing key included with the message.

Spring AMQP allows us to aggregate all the declarations of queues, exchanges, and bindings in a Declarables object:

@Bean
public Declarables fanoutBindings() {
    Queue fanoutQueue1 = new Queue("fanout.queue1", false);
    Queue fanoutQueue2 = new Queue("fanout.queue2", false);
    FanoutExchange fanoutExchange = new FanoutExchange("fanout.exchange");

    return new Declarables(
      fanoutQueue1,
      fanoutQueue2,
      fanoutExchange,
      BindingBuilder.bind(fanoutQueue1).to(fanoutExchange),
      BindingBuilder.bind(fanoutQueue2).to(fanoutExchange));
}

3. Setting Up a Topic Exchange

Now, we’ll also set up a topic exchange with two queues, each with a different binding pattern:

@Bean
public Declarables topicBindings() {
    Queue topicQueue1 = new Queue(topicQueue1Name, false);
    Queue topicQueue2 = new Queue(topicQueue2Name, false);

    TopicExchange topicExchange = new TopicExchange(topicExchangeName);

    return new Declarables(
      topicQueue1,
      topicQueue2,
      topicExchange,
      BindingBuilder
        .bind(topicQueue1)
        .to(topicExchange).with("*.important.*"),
      BindingBuilder
        .bind(topicQueue2)
        .to(topicExchange).with("#.error"));
}

A topic exchange allows us to bind queues to it with different key patterns. This is very flexible and allows us to bind multiple queues with the same pattern or even multiple patterns to the same queue.

When the message’s routing key matches the pattern, it will be placed in the queue. If a queue has multiple bindings which match the message’s routing key, only one copy of the message is placed on the queue.

Our binding patterns can use an asterisk (“*”) to match a word in a specific position or a pound sign (“#”) to match zero or more words.

So, our topicQueue1 will receive messages which have routing keys having a three-word pattern with the middle word being “important” – for example: “user.important.error” or “blog.important.notification”.

And, our topicQueue2 will receive messages which have routing keys ending in the word error; matching examples are “error”, “user.important.error” or “blog.post.save.error”.

4. Setting Up a Producer

We’ll use the convertAndSend method of the RabbitTemplate to send our sample messages:

    String message = " payload is broadcast";
    return args -> {
        rabbitTemplate.convertAndSend(FANOUT_EXCHANGE_NAME, "", "fanout" + message);
        rabbitTemplate.convertAndSend(TOPIC_EXCHANGE_NAME, ROUTING_KEY_USER_IMPORTANT_WARN, 
            "topic important warn" + message);
        rabbitTemplate.convertAndSend(TOPIC_EXCHANGE_NAME, ROUTING_KEY_USER_IMPORTANT_ERROR, 
            "topic important error" + message);
    };

The RabbitTemplate provides many overloaded convertAndSend() methods for different exchange types.

When we send a message to a fanout exchange, the routing key is ignored, and the message is passed to all bound queues.

When we send a message to the topic exchange, we need to pass a routing key. Based on this routing key the message will be delivered to specific queues.

5. Configuring Consumers

Finally, let’s set up four consumers – one for each queue – to pick up the messages produced:

    @RabbitListener(queues = {FANOUT_QUEUE_1_NAME})
    public void receiveMessageFromFanout1(String message) {
        System.out.println("Received fanout 1 message: " + message);
    }

    @RabbitListener(queues = {FANOUT_QUEUE_2_NAME})
    public void receiveMessageFromFanout2(String message) {
        System.out.println("Received fanout 2 message: " + message);
    }

    @RabbitListener(queues = {TOPIC_QUEUE_1_NAME})
    public void receiveMessageFromTopic1(String message) {
        System.out.println("Received topic 1 (" + BINDING_PATTERN_IMPORTANT + ") message: " + message);
    }

    @RabbitListener(queues = {TOPIC_QUEUE_2_NAME})
    public void receiveMessageFromTopic2(String message) {
        System.out.println("Received topic 2 (" + BINDING_PATTERN_ERROR + ") message: " + message);
    }

We configure consumers using the @RabbitListener annotation. The only argument passed here is the queues’ name. Consumers are not aware here of exchanges or routing keys.

6. Running the Example

Our sample project is a Spring Boot application, and so it will initialize the application together with a connection to RabbitMQ and set up all queues, exchanges, and bindings.

By default, our application expects a RabbitMQ instance running on the localhost on port 5672. We can modify this and other defaults in application.yaml.

Our project exposes HTTP endpoint on the URI – /broadcast – that accepts POSTs with a message in the request body.

When we send a request to this URI with body “Test” we should see something similar to this in the output:

Received fanout 1 message: fanout payload is broadcast
Received topic 1 (*.important.*) message: topic important warn payload is broadcast
Received topic 2 (#.error) message: topic important error payload is broadcast
Received fanout 2 message: fanout payload is broadcast
Received topic 1 (*.important.*) message: topic important error payload is broadcast

The order in which we will see these messages is, of course, not guaranteed.

7. Conclusion

In this quick tutorial, we covered fanout and topic exchanges with Spring AMQP and RabbitMQ.

The code backing this article is available on GitHub. Once you're logged in as a Baeldung Pro Member, start learning and coding on the project.
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Partner – Microsoft – NPI EA (cat = Baeldung)
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Azure Container Apps is a fully managed serverless container service that enables you to build and deploy modern, cloud-native Java applications and microservices at scale. It offers a simplified developer experience while providing the flexibility and portability of containers.

Of course, Azure Container Apps has really solid support for our ecosystem, from a number of build options, managed Java components, native metrics, dynamic logger, and quite a bit more.

To learn more about Java features on Azure Container Apps, visit the documentation page.

You can also ask questions and leave feedback on the Azure Container Apps GitHub page.

Partner – Microsoft – NPI EA (cat = Spring Boot)
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Azure Container Apps is a fully managed serverless container service that enables you to build and deploy modern, cloud-native Java applications and microservices at scale. It offers a simplified developer experience while providing the flexibility and portability of containers.

Of course, Azure Container Apps has really solid support for our ecosystem, from a number of build options, managed Java components, native metrics, dynamic logger, and quite a bit more.

To learn more about Java features on Azure Container Apps, visit the documentation page.

You can also ask questions and leave feedback on the Azure Container Apps GitHub page.

Partner – Orkes – NPI EA (cat = Spring)
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Modern software architecture is often broken. Slow delivery leads to missed opportunities, innovation is stalled due to architectural complexities, and engineering resources are exceedingly expensive.

Orkes is the leading workflow orchestration platform built to enable teams to transform the way they develop, connect, and deploy applications, microservices, AI agents, and more.

With Orkes Conductor managed through Orkes Cloud, developers can focus on building mission critical applications without worrying about infrastructure maintenance to meet goals and, simply put, taking new products live faster and reducing total cost of ownership.

Try a 14-Day Free Trial of Orkes Conductor today.

Partner – Orkes – NPI EA (tag = Microservices)
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Modern software architecture is often broken. Slow delivery leads to missed opportunities, innovation is stalled due to architectural complexities, and engineering resources are exceedingly expensive.

Orkes is the leading workflow orchestration platform built to enable teams to transform the way they develop, connect, and deploy applications, microservices, AI agents, and more.

With Orkes Conductor managed through Orkes Cloud, developers can focus on building mission critical applications without worrying about infrastructure maintenance to meet goals and, simply put, taking new products live faster and reducing total cost of ownership.

Try a 14-Day Free Trial of Orkes Conductor today.

eBook – HTTP Client – NPI EA (cat=HTTP Client-Side)
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The Apache HTTP Client is a very robust library, suitable for both simple and advanced use cases when testing HTTP endpoints. Check out our guide covering basic request and response handling, as well as security, cookies, timeouts, and more:

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eBook – Java Concurrency – NPI EA (cat=Java Concurrency)
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Handling concurrency in an application can be a tricky process with many potential pitfalls. A solid grasp of the fundamentals will go a long way to help minimize these issues.

Get started with understanding multi-threaded applications with our Java Concurrency guide:

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eBook – Java Streams – NPI EA (cat=Java Streams)
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Since its introduction in Java 8, the Stream API has become a staple of Java development. The basic operations like iterating, filtering, mapping sequences of elements are deceptively simple to use.

But these can also be overused and fall into some common pitfalls.

To get a better understanding on how Streams work and how to combine them with other language features, check out our guide to Java Streams:

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eBook – Persistence – NPI EA (cat=Persistence)
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Partner – MongoDB – NPI EA (tag=MongoDB)
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Traditional keyword-based search methods rely on exact word matches, often leading to irrelevant results depending on the user's phrasing.

By comparison, using a vector store allows us to represent the data as vector embeddings, based on meaningful relationships. We can then compare the meaning of the user’s query to the stored content, and retrieve more relevant, context-aware results.

Explore how to build an intelligent chatbot using MongoDB Atlas, Langchain4j and Spring Boot:

>> Building an AI Chatbot in Java With Langchain4j and MongoDB Atlas

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Azure Container Apps is a fully managed serverless container service that enables you to build and deploy modern, cloud-native Java applications and microservices at scale. It offers a simplified developer experience while providing the flexibility and portability of containers.

Of course, Azure Container Apps has really solid support for our ecosystem, from a number of build options, managed Java components, native metrics, dynamic logger, and quite a bit more.

To learn more about Java features on Azure Container Apps, visit the documentation page.

You can also ask questions and leave feedback on the Azure Container Apps GitHub page.

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