Skip to main content
Redhat Developers  Logo
  • AI

    Get started with AI

    • Red Hat AI
      Accelerate the development and deployment of enterprise AI solutions.
    • AI learning hub
      Explore learning materials and tools, organized by task.
    • AI interactive demos
      Click through scenarios with Red Hat AI, including training LLMs and more.
    • AI/ML learning paths
      Expand your OpenShift AI knowledge using these learning resources.
    • AI quickstarts
      Focused AI use cases designed for fast deployment on Red Hat AI platforms.
    • No-cost AI training
      Foundational Red Hat AI training.

    Featured resources

    • OpenShift AI learning
    • Open source AI for developers
    • AI product application development
    • Open source-powered AI/ML for hybrid cloud
    • AI and Node.js cheat sheet

    Red Hat AI Factory with NVIDIA

    • Red Hat AI Factory with NVIDIA is a co-engineered, enterprise-grade AI solution for building, deploying, and managing AI at scale across hybrid cloud environments.
    • Explore the solution
  • Learn

    Self-guided

    • Documentation
      Find answers, get step-by-step guidance, and learn how to use Red Hat products.
    • Learning paths
      Explore curated walkthroughs for common development tasks.
    • Guided learning
      Receive custom learning paths powered by our AI assistant.
    • See all learning

    Hands-on

    • Developer Sandbox
      Spin up Red Hat's products and technologies without setup or configuration.
    • Interactive labs
      Learn by doing in these hands-on, browser-based experiences.
    • Interactive demos
      Click through product features in these guided tours.

    Browse by topic

    • AI/ML
    • Automation
    • Java
    • Kubernetes
    • Linux
    • See all topics

    Training & certifications

    • Courses and exams
    • Certifications
    • Skills assessments
    • Red Hat Academy
    • Learning subscription
    • Explore training
  • Build

    Get started

    • Red Hat build of Podman Desktop
      A downloadable, local development hub to experiment with our products and builds.
    • Developer Sandbox
      Spin up Red Hat's products and technologies without setup or configuration.

    Download products

    • Access product downloads to start building and testing right away.
    • Red Hat Enterprise Linux
    • Red Hat AI
    • Red Hat OpenShift
    • Red Hat Ansible Automation Platform
    • See all products

    Featured

    • Red Hat build of OpenJDK
    • Red Hat JBoss Enterprise Application Platform
    • Red Hat OpenShift Dev Spaces
    • Red Hat Developer Toolset

    References

    • E-books
    • Documentation
    • Cheat sheets
    • Architecture center
  • Community

    Get involved

    • Events
    • Live AI events
    • Red Hat Summit
    • Red Hat Accelerators
    • Community discussions

    Follow along

    • Articles & blogs
    • Developer newsletter
    • Videos
    • Github

    Get help

    • Customer service
    • Customer support
    • Regional contacts
    • Find a partner

    Join the Red Hat Developer program

    • Download Red Hat products and project builds, access support documentation, learning content, and more.
    • Explore the benefits

Logging incoming and outgoing messages for Red Hat AMQ 7

October 26, 2018
Chandra Shekhar Pandey
Related topics:
Java
Related products:
Streams for Apache Kafka

    In this article, I will discuss how to capture incoming and outgoing messages for Red Hat AMQ 7 (RHAMQ 7). This might advantageous if you need to log the incoming or outgoing traffic, or the messages from a broker, or during development and/or testing when you want to see all message. Additionally, There may also be a need to modify messages in transit. Using RHAMQ 7 interceptors, you can intercept traffic to and from the RHAMQ 7 broker. You can also modify messages using the interceptor.

    On my personal GitHub page, there is one example of using the interceptor, which works with the core protocol of RHAMQ 7.

    The first step in creating an interceptor is to implement the Interceptor interface.

    package org.apache.artemis.activemq.api.core.interceptor;
    
    public interface Interceptor
    {
    boolean intercept(Packet packet, RemotingConnection connection) throws ActiveMQException;
    }
    

    At the GitHub page mentioned above, there is  a simple Java class, SimpleInterceptor.java, which implements the Interceptor interface and intercepts messages using the following code:

    public boolean intercept(final Packet packet, final RemotingConnection connection) throws ActiveMQException {
    
    if (packet instanceof SessionSendMessage) {
    System.out.println("SimpleInterceptor gets called!.... Packet: " + packet.getClass().getName() + "RemotingConnection: " + connection.getRemoteAddress() );
    SessionSendMessage realPacket = (SessionSendMessage) packet;
    Message msg = realPacket.getMessage();
    if((msg.getTimestamp()>0) && msg.getUserID()!=null)
    System.out.println("Msg: "+msg.toString());
    }
    else if (packet instanceof SessionReceiveMessage) {
    System.out.println("SimpleInterceptor gets called!.... Packet: " + packet.getClass().getName() + "RemotingConnection: " + connection.getRemoteAddress() );
    SessionReceiveMessage realPacket = (SessionReceiveMessage) packet;
    Message msg = realPacket.getMessage();
    if((msg.getTimestamp()>0) && msg.getUserID()!=null)
    System.out.println("Msg: "+msg.toString());
    }
    
    return true;
    }
    

    It should be noted that when a packet is an instance of SessionSendMessage, it is an incoming message. When a packet is an instance of SessionReceiveMessage, it is an outgoing message, allowing the consumer/subscriber to further process it.

    By returning true, we then call the next interceptor (if any) or target. If we return false, further processing is aborted, so neither the next interceptor would be called nor would any target be sent the message.

    Build the project using mvn package  and copy the JAR to the location amq_broker_home/lib.

    In the broker configuration file broker.xml, we have to specify this interceptor for incoming as well as outgoing messages in the following manner:

    <core...>
    <remoting-incoming-interceptors>
       <class-name>com.mycompany.interceptor.SimpleInterceptor</class-name>
    </remoting-incoming-interceptors>
    <remoting-outgoing-interceptors>
       <class-name>com.mycompany.interceptor.SimpleInterceptor</class-name>
    </remoting-outgoing-interceptors>
    </core>

    At this point, we can start the RHAMQ 7 broker  to begin testing. Run the following commands from the directory amq_broker_home/bin:

    ./artemis consumer --url tcp://localhost:61616 --user admin --password admin --destination queue://TESTCP --verbose
    ./artemis producer --url tcp://localhost:61616 --user admin --password admin --destination queue://TESTCP --message-count 1
    

    You should see the following results:

    #For Sender
    SimpleInterceptor gets called!.... Packet: org.apache.activemq.artemis.core.protocol.core.impl.wireformat.SessionSendMessageRemotingConnection: /127.0.0.1:49896 Msg: CoreMessage[messageID=0,durable=true,userID=4e094a2a-d6e0-11e8-a444-e8b1fc466329,priority=4, timestamp=Tue Oct 23 21:55:50 IST 2018,expiration=0, durable=true, address=exampleQueue,size=270,properties=TypedProperties[__AMQ_CID=4df09207-d6e0-11e8-a444-e8b1fc466329,_AMQ_ROUTING_TYPE=1]]@183519025
    
    #For Receiver
    SimpleInterceptor gets called!.... Packet: org.apache.activemq.artemis.core.protocol.core.impl.wireformat.SessionReceiveMessageRemotingConnection: /127.0.0.1:49896 Msg: CoreMessage[messageID=3333,durable=true,userID=4e094a2a-d6e0-11e8-a444-e8b1fc466329,priority=4, timestamp=Tue Oct 23 21:55:50 IST 2018,expiration=0, durable=true, address=exampleQueue,size=270,properties=TypedProperties[__AMQ_CID=4df09207-d6e0-11e8-a444-e8b1fc466329,_AMQ_ROUTING_TYPE=1]]@1835190256
    
    

    We can also get destination (queue/topic) statistics by using the following command from the location amq_broker_home/bin:

    /artemis queue stat --url tcp://localhost:61621 --user admin --password admin --queueName TESTCP --verbose
    

    As mentioned earlier, this interceptor will only log messages in the core protocol. For the Stomp protocol, our interceptor should implement the interface StompFrameInterceptor:

    package org.apache.activemq.artemis.core.protocol.stomp;
    
    public interface StompFrameInterceptor extends BaseInterceptor
    {
       boolean intercept(StompFrame stompFrame, RemotingConnection connection);
    }
    

    Similarly, for the MQTT protocol, an interceptor should implement the interface MQTTInterceptor:

    package org.apache.activemq.artemis.core.protocol.mqtt;
    
    public interface MQTTInterceptor extends BaseInterceptor
    {
        boolean intercept(MqttMessage mqttMessage, RemotingConnection connection);
    }
    

    That's it! I hope this article will help you in setting up an RHAMQ 7 interceptor and logging or modifying the incoming or outgoing messages.

    Additional resources

    Here are related articles on the Red Hat Developer blog:

    • Asynchronous communication between microservices using AMQP and Vert.x
    • Monitoring Red Hat AMQ 7 with the jmxtrans agent 
    • How to set up LDAP authentication for the Red Hat AMQ 7 message broker console
    • Setting up RBAC on Red Hat AMQ Broker
    • How to integrate A-MQ 6.3 on Red Hat JBoss EAP 7
    Last updated: September 3, 2019

    Recent Posts

    • Every layer counts: Defense in depth for AI agents with Red Hat AI

    • Fun in the RUN instruction: Why container builds with distroless images can surprise you

    • Trusted software factory: Building trust in the agentic AI era

    • Build a zero trust AI pipeline with OpenShift and RHEL CVMs

    • Red Hat Hardened Images: Top 5 benefits for software developers

    Red Hat Developers logo LinkedIn YouTube Twitter Facebook

    Platforms

    • Red Hat AI
    • Red Hat Enterprise Linux
    • Red Hat OpenShift
    • Red Hat Ansible Automation Platform
    • See all products

    Build

    • Developer Sandbox
    • Developer tools
    • Interactive tutorials
    • API catalog

    Quicklinks

    • Learning resources
    • E-books
    • Cheat sheets
    • Blog
    • Events
    • Newsletter

    Communicate

    • About us
    • Contact sales
    • Find a partner
    • Report a website issue
    • Site status dashboard
    • Report a security problem

    RED HAT DEVELOPER

    Build here. Go anywhere.

    We serve the builders. The problem solvers who create careers with code.

    Join us if you’re a developer, software engineer, web designer, front-end designer, UX designer, computer scientist, architect, tester, product manager, project manager or team lead.

    Sign me up

    Red Hat legal and privacy links

    • About Red Hat
    • Jobs
    • Events
    • Locations
    • Contact Red Hat
    • Red Hat Blog
    • Inclusion at Red Hat
    • Cool Stuff Store
    • Red Hat Summit
    © 2026 Red Hat

    Red Hat legal and privacy links

    • Privacy statement
    • Terms of use
    • All policies and guidelines
    • Digital accessibility

    Chat Support

    Please log in with your Red Hat account to access chat support.