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Getting Started to Quarkus Messaging with RabbitMQ

This guide demonstrates how your Quarkus application can utilize Quarkus Messaging to interact with RabbitMQ.

This technology is considered preview.

In preview, backward compatibility and presence in the ecosystem is not guaranteed. Specific improvements might require changing configuration or APIs, and plans to become stable are under way. Feedback is welcome on our mailing list or as issues in our GitHub issue tracker.

For a full list of possible statuses, check our FAQ entry.

Requisitos previos

To complete this guide, you need:

  • Roughly 15 minutes

  • An IDE

  • JDK 17+ installed with JAVA_HOME configured appropriately

  • Apache Maven 3.9.8

  • Docker and Docker Compose or Podman, and Docker Compose

  • Optionally the Quarkus CLI if you want to use it

  • Optionally Mandrel or GraalVM installed and configured appropriately if you want to build a native executable (or Docker if you use a native container build)

Arquitectura

In this guide, we are going to develop two applications communicating with a RabbitMQ broker. The first application sends a quote request to the RabbitMQ quote requests exchange and consumes messages from the quote queue. The second application receives the quote request and sends a quote back.

Architecture

The first application, the producer, will let the user request some quotes over an HTTP endpoint. For each quote request, a random identifier is generated and returned to the user, to put the quote request on pending. At the same time the generated request id is sent to the quote-requests exchange.

Producer App UI

The second application, the processor, in turn, will read from the quote-requests queue put a random price to the quote, and send it to an exchange named quotes.

Lastly, the producer will read the quotes and send them to the browser using server-sent events. The user will therefore see the quote price updated from pending to the received price in real-time.

Solución

We recommend that you follow the instructions in the next sections and create applications step by step. However, you can go right to the completed example.

Clone el repositorio Git: git clone https://github.com/quarkusio/quarkus-quickstarts.git o descargue un archivo.

The solution is located in the rabbitmq-quickstart directory.

Creación del proyecto Maven

En primer lugar, tenemos que crear dos proyectos: el productor y el procesador.

Para crear el proyecto productor, en un terminal ejecute:

CLI
quarkus create app org.acme:rabbitmq-quickstart-producer \
    --extension='messaging-rabbitmq,rest-jackson' \
    --no-code

To create a Gradle project, add the --gradle or --gradle-kotlin-dsl option.

For more information about how to install and use the Quarkus CLI, see the Quarkus CLI guide.

Maven
mvn io.quarkus.platform:quarkus-maven-plugin:3.12.2:create \
    -DprojectGroupId=org.acme \
    -DprojectArtifactId=rabbitmq-quickstart-producer \
    -Dextensions='messaging-rabbitmq,rest-jackson' \
    -DnoCode

To create a Gradle project, add the -DbuildTool=gradle or -DbuildTool=gradle-kotlin-dsl option.

For Windows users:

  • If using cmd, (don’t use backward slash \ and put everything on the same line)

  • If using Powershell, wrap -D parameters in double quotes e.g. "-DprojectArtifactId=rabbitmq-quickstart-producer"

Este comando crea la estructura del proyecto y selecciona las dos extensiones de Quarkus que vamos a utilizar:

  1. The Reactive Messaging RabbitMQ connector

  2. Quarkus REST (formerly RESTEasy Reactive) and its Jackson support to handle JSON payloads

If you already have your Quarkus project configured, you can add the messaging-rabbitmq extension to your project by running the following command in your project base directory:

CLI
quarkus extension add messaging-rabbitmq
Maven
./mvnw quarkus:add-extension -Dextensions='messaging-rabbitmq'
Gradle
./gradlew addExtension --extensions='messaging-rabbitmq'

This will add the following to your pom.xml:

pom.xml
<dependency>
    <groupId>io.quarkus</groupId>
    <artifactId>quarkus-messaging-rabbitmq</artifactId>
</dependency>
build.gradle
implementation("io.quarkus:quarkus-messaging-rabbitmq")

Para crear el proyecto del procesador, desde el mismo directorio, ejecute:

CLI
quarkus create app org.acme:rabbitmq-quickstart-processor \
    --extension='messaging-rabbitmq' \
    --no-code

To create a Gradle project, add the --gradle or --gradle-kotlin-dsl option.

For more information about how to install and use the Quarkus CLI, see the Quarkus CLI guide.

Maven
mvn io.quarkus.platform:quarkus-maven-plugin:3.12.2:create \
    -DprojectGroupId=org.acme \
    -DprojectArtifactId=rabbitmq-quickstart-processor \
    -Dextensions='messaging-rabbitmq' \
    -DnoCode

To create a Gradle project, add the -DbuildTool=gradle or -DbuildTool=gradle-kotlin-dsl option.

For Windows users:

  • If using cmd, (don’t use backward slash \ and put everything on the same line)

  • If using Powershell, wrap -D parameters in double quotes e.g. "-DprojectArtifactId=rabbitmq-quickstart-processor"

En ese momento deberías tener la siguiente estructura:

.
├── rabbitmq-quickstart-processor
│  ├── README.md
│  ├── mvnw
│  ├── mvnw.cmd
│  ├── pom.xml
│  └── src
│     └── main
│        ├── docker
│        ├── java
│        └── resources
│           └── application.properties
└── rabbitmq-quickstart-producer
   ├── README.md
   ├── mvnw
   ├── mvnw.cmd
   ├── pom.xml
   └── src
      └── main
         ├── docker
         ├── java
         └── resources
            └── application.properties

Abra los dos proyectos en su IDE favorito.

El objeto Cotización

The Quote class will be used in both producer and processor projects. For the sake of simplicity we will duplicate the class. In both projects, create the src/main/java/org/acme/rabbitmq/model/Quote.java file, with the following content:

package org.acme.rabbitmq.model;

import io.quarkus.runtime.annotations.RegisterForReflection;

@RegisterForReflection
public class Quote {

    public String id;
    public int price;

    /**
    * Default constructor required for Jackson serializer
    */
    public Quote() { }

    public Quote(String id, int price) {
        this.id = id;
        this.price = price;
    }

    @Override
    public String toString() {
        return "Quote{" +
                "id='" + id + '\'' +
                ", price=" + price +
                '}';
    }
}

JSON representation of Quote objects will be used in messages sent to the RabbitMQ queues and also in the server-sent events sent to browser clients.

Quarkus has built-in capabilities to deal with JSON RabbitMQ messages.

@RegisterForReflection

The @RegisterForReflection annotation instructs Quarkus to keep the class, its fields, and methods when creating a native executable. This is crucial when we later run our applications as native executables within containers. Without this annotation, the native compilation process would discard the fields and methods during the dead-code elimination phase, which would lead to runtime errors. More details about the @RegisterForReflection annotation can be found on the native application tips page.

Envío de solicitud de presupuesto

Inside the producer project locate the generated src/main/java/org/acme/rabbitmq/producer/QuotesResource.java file, and update the content to be:

package org.acme.rabbitmq.producer;

import java.util.UUID;

import jakarta.ws.rs.GET;
import jakarta.ws.rs.POST;
import jakarta.ws.rs.Path;
import jakarta.ws.rs.Produces;
import jakarta.ws.rs.core.MediaType;

import org.acme.rabbitmq.model.Quote;
import org.eclipse.microprofile.reactive.messaging.Channel;
import org.eclipse.microprofile.reactive.messaging.Emitter;

import io.smallrye.mutiny.Multi;

@Path("/quotes")
public class QuotesResource {

    @Channel("quote-requests") Emitter<String> quoteRequestEmitter; (1)

    /**
     * Endpoint to generate a new quote request id and send it to "quote-requests" channel (which
     * maps to the "quote-requests" RabbitMQ exchange) using the emitter.
     */
    @POST
    @Path("/request")
    @Produces(MediaType.TEXT_PLAIN)
    public String createRequest() {
        UUID uuid = UUID.randomUUID();
        quoteRequestEmitter.send(uuid.toString()); (2)
        return uuid.toString();
    }
}
1 Inyectar una Mensajería Reactiva Emitter para enviar mensajes al canal quote-requests.
2 On a post request, generate a random UUID and send it to the RabbitMQ queue using the emitter.

This channel is mapped to a RabbitMQ exchange using the configuration we will add to the application.properties file. Open the src/main/resource/application.properties file and add:

# Configure the outgoing RabbitMQ exchange `quote-requests`
mp.messaging.outgoing.quote-requests.connector=smallrye-rabbitmq
mp.messaging.outgoing.quote-requests.exchange.name=quote-requests

All we need to specify is the smallrye-rabbitmq connector. By default, reactive messaging maps the channel name quote-requests to the same RabbitMQ exchange name.

Tramitación de solicitudes de quota

Now let’s consume the quote request and give out a price. Inside the processor project, locate the src/main/java/org/acme/rabbitmq/processor/QuoteProcessor.java file and add the following:

package org.acme.rabbitmq.processor;

import java.util.Random;

import jakarta.enterprise.context.ApplicationScoped;

import org.acme.rabbitmq.model.Quote;
import org.eclipse.microprofile.reactive.messaging.Incoming;
import org.eclipse.microprofile.reactive.messaging.Outgoing;

import io.smallrye.reactive.messaging.annotations.Blocking;

/**
 * A bean consuming data from the "quote-requests" RabbitMQ queue and giving out a random quote.
 * The result is pushed to the "quotes" RabbitMQ exchange.
 */
@ApplicationScoped
public class QuoteProcessor {

    private Random random = new Random();

    @Incoming("requests")       (1)
    @Outgoing("quotes")         (2)
    @Blocking                   (3)
    public Quote process(String quoteRequest) throws InterruptedException {
        // simulate some hard-working task
        Thread.sleep(1000);
        return new Quote(quoteRequest, random.nextInt(100));
    }
}
1 Indica que el método consume los elementos del canal requests
2 Indica que los objetos devueltos por el método se envían al canal quotes
3 Indica que el procesamiento está bloqueando y no puede ser ejecutado en el hilo de la llamada.

The process method is called for every RabbitMQ message from the quote-requests queue, and will send a Quote object to the quotes exchange.

As with the previous example we need to configure the connectors in the application.properties file. Open the src/main/resources/application.properties file and add:

# Configure the incoming RabbitMQ queue `quote-requests`
mp.messaging.incoming.requests.connector=smallrye-rabbitmq
mp.messaging.incoming.requests.queue.name=quote-requests
mp.messaging.incoming.requests.exchange.name=quote-requests

# Configure the outgoing RabbitMQ exchange `quotes`
mp.messaging.outgoing.quotes.connector=smallrye-rabbitmq
mp.messaging.outgoing.quotes.exchange.name=quotes

Note that in this case we have one incoming and one outgoing connector configuration, each one distinctly named. The configuration properties are structured as follows:

mp.messaging.[outgoing|incoming].{channel-name}.property=value

The channel-name segment must match the value set in the @Incoming and @Outgoing annotation:

  • quote-requests → RabbitMQ queue from which we read the quote requests

  • quotes → RabbitMQ exchange in which we write the quotes

Recepción de presupuestos

Back to our producer project. Let’s modify the QuotesResource to consume quotes, bind it to an HTTP endpoint to send events to clients:

import io.smallrye.mutiny.Multi;
//...

@Channel("quotes") Multi<Quote> quotes;     (1)

/**
 * Endpoint retrieving the "quotes" queue and sending the items to a server sent event.
 */
@GET
@Produces(MediaType.SERVER_SENT_EVENTS) (2)
public Multi<Quote> stream() {
    return quotes; (3)
}
1 Inyecta el canal quotes utilizando el calificador @Channel
2 Indica que el contenido se envía utilizando Server Sent Events
3 Devuelve el flujo (Reactive Stream)

Again we need to configure the incoming quotes channel inside producer project. Add the following inside application.properties file:

# Configure the outgoing `quote-requests` queue
mp.messaging.outgoing.quote-requests.connector=smallrye-rabbitmq

# Configure the incoming `quotes` queue
mp.messaging.incoming.quotes.connector=smallrye-rabbitmq

La página HTML

El toque final, la página HTML que lee los precios convertidos usando SSE.

Cree dentro del proyecto producer el archivo src/main/resources/META-INF/resources/quotes.html, con el siguiente contenido:

<!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <title>Quotes</title>

    <link rel="stylesheet" type="text/css"
          href="https://cdnjs.cloudflare.com/ajax/libs/patternfly/3.24.0/css/patternfly.min.css">
    <link rel="stylesheet" type="text/css"
          href="https://cdnjs.cloudflare.com/ajax/libs/patternfly/3.24.0/css/patternfly-additions.min.css">
</head>
<body>
<div class="container">
    <div class="card">
        <div class="card-body">
            <h2 class="card-title">Quotes</h2>
            <button class="btn btn-info" id="request-quote">Request Quote</button>
            <div class="quotes"></div>
        </div>
    </div>
</div>
</body>
<script src="https://code.jquery.com/jquery-3.6.0.min.js"></script>
<script>
    $("#request-quote").click((event) => {
        fetch("/quotes/request", {method: "POST"})
        .then(res => res.text())
        .then(qid => {
            var row = $(`<h4 class='col-md-12' id='${qid}'>Quote # <i>${qid}</i> | <strong>Pending</strong></h4>`);
            $(".quotes").append(row);
        });
    });
    var source = new EventSource("/quotes");
    source.onmessage = (event) => {
      var json = JSON.parse(event.data);
      $(`#${json.id}`).html(function(index, html) {
        return html.replace("Pending", `\$\xA0${json.price}`);
      });
    };
</script>
</html>

Nothing spectacular here. On each received quote, it updates the page.

Ponerlo en marcha

Sólo tienes que ejecutar ambas aplicaciones utilizando:

> mvn -f rabbitmq-quickstart-producer quarkus:dev

Y, en una terminal separada:

> mvn -f rabbitmq-quickstart-processor quarkus:dev

Quarkus starts a RabbitMQ broker automatically, configures the application and shares the broker instance between different applications. See Dev Services for RabbitMQ for more details.

Abra http://localhost:8080/quotes.html en su navegador y solicite algunos presupuestos haciendo clic en el botón.

Ejecución en modo JVM o nativo

When not running in dev or test mode, you will need to start your RabbitMQ broker. You can follow the instructions from the RabbitMQ Docker website or create a docker-compose.yaml file with the following content:

version: '2'

services:

  rabbit:
    image: rabbitmq:3.12-management
    ports:
      - "5672:5672"
    networks:
      - rabbitmq-quickstart-network

  producer:
    image: quarkus-quickstarts/rabbitmq-quickstart-producer:1.0-${QUARKUS_MODE:-jvm}
    build:
      context: rabbitmq-quickstart-producer
      dockerfile: src/main/docker/Dockerfile.${QUARKUS_MODE:-jvm}
    environment:
      RABBITMQ_HOST: rabbit
      RABBITMQ_PORT: 5672
    ports:
      - "8080:8080"
    networks:
      - rabbitmq-quickstart-network

  processor:
    image: quarkus-quickstarts/rabbitmq-quickstart-processor:1.0-${QUARKUS_MODE:-jvm}
    build:
      context: rabbitmq-quickstart-processor
      dockerfile: src/main/docker/Dockerfile.${QUARKUS_MODE:-jvm}
    environment:
      RABBITMQ_HOST: rabbit
      RABBITMQ_PORT: 5672
    networks:
      - rabbitmq-quickstart-network

networks:
  rabbitmq-quickstart-network:
    name: rabbitmq-quickstart

Note how the RabbitMQ broker location is configured. The rabbitmq-host and rabbitmq-port (AMQP_HOST and AMQP_PORT environment variables) properties configure location.

En primer lugar, asegúrese de que ha detenido las aplicaciones, y construya ambas aplicaciones en modo JVM con:

> mvn -f rabbitmq-quickstart-producer clean package
> mvn -f rabbitmq-quickstart-processor clean package

Once packaged, run docker compose up --build. The UI is exposed on http://localhost:8080/quotes.html

Para ejecutar tus aplicaciones como nativas, primero tenemos que construir los ejecutables nativos:

> mvn -f rabbitmq-quickstart-producer package -Dnative  -Dquarkus.native.container-build=true
> mvn -f rabbitmq-quickstart-processor package -Dnative -Dquarkus.native.container-build=true

The -Dquarkus.native.container-build=true instructs Quarkus to build Linux 64bits native executables, who can run inside containers. Then, run the system using:

> export QUARKUS_MODE=native
> docker compose up --build

Como antes, la interfaz de usuario está expuesta en http://localhost:8080/quotes.html

Ir más allá

This guide has shown how you can interact with RabbitMQ using Quarkus. It utilizes SmallRye Reactive Messaging to build data streaming applications.

If you did the Kafka, you have realized that it’s the same code. The only difference is the connector configuration and the JSON mapping.

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