DZone
Thanks for visiting DZone today,
Edit Profile
  • Manage Email Subscriptions
  • How to Post to DZone
  • Article Submission Guidelines
Sign Out View Profile
  • Post an Article
  • Manage My Drafts
Over 2 million developers have joined DZone.
Log In / Join
Refcards Trend Reports
Events Video Library
Over 2 million developers have joined DZone. Join Today! Thanks for visiting DZone today,
Edit Profile Manage Email Subscriptions Moderation Admin Console How to Post to DZone Article Submission Guidelines
View Profile
Sign Out
Refcards
Trend Reports
Events
View Events Video Library
Zones
Culture and Methodologies Agile Career Development Methodologies Team Management
Data Engineering AI/ML Big Data Data Databases IoT
Software Design and Architecture Cloud Architecture Containers Integration Microservices Performance Security
Coding Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks
Culture and Methodologies
Agile Career Development Methodologies Team Management
Data Engineering
AI/ML Big Data Data Databases IoT
Software Design and Architecture
Cloud Architecture Containers Integration Microservices Performance Security
Coding
Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance
Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks

Integrating PostgreSQL Databases with ANF: Join this workshop to learn how to create a PostgreSQL server using Instaclustr’s managed service

Mobile Database Essentials: Assess data needs, storage requirements, and more when leveraging databases for cloud and edge applications.

Monitoring and Observability for LLMs: Datadog and Google Cloud discuss how to achieve optimal AI model performance.

Automated Testing: The latest on architecture, TDD, and the benefits of AI and low-code tools.

Related

  • AWS: Pushing Jakarta EE Full Platform Applications to the Cloud
  • Ultra-Fast Microservices: When MicroStream Meets Wildfly
  • Java High Availability With WildFly on Kubernetes
  • Building Microservices With Wildfly Swarm

Trending

  • Choosing the Appropriate AWS Load Balancer: ALB vs. NLB
  • TypeScript: Useful Features
  • Future Skills in Cybersecurity: Nurturing Talent for the Evolving Threatscape
  • CI/CD Docker: How To Create a CI/CD Pipeline With Jenkins, Containers, and Amazon ECS
  1. DZone
  2. Coding
  3. Java
  4. Sending JMS Messages From WildFly 8 To WebLogic 12 with Camel

Sending JMS Messages From WildFly 8 To WebLogic 12 with Camel

A short tutorial on how to send messages via JMS between two web servers

Markus Eisele user avatar by
Markus Eisele
·
Jul. 16, 15 · Tutorial
Like (3)
Save
Tweet
Share
8.71K Views

Join the DZone community and get the full member experience.

Join For Free

System integration is a nice challenge. Especially, when you're looking for communication standards and reliable solutions. In today's microservices world, everybody talks about REST services and http-based protocols. As a matter of fact, this will never be enough for most enterprise projects which typically tend to have a much more complex set of requirements. A reasonable solution is a Java Message Service based integration. And while we're not looking at centralized infrastructures and ESBs anymore, we want point to point based integration for defined services. Let's see if we can make this work and send messages between JBoss WildFly and Oracle WebLogic Server.


Business Case - From Java EE To Microservices

But I want to step back a bit first: Why should someone? I think, one of the main motivations behind such a scenario is a slow migration path. Coming down all the way from monolithic, single platform applications we want to be flexible enough to shell out individual services from those giant installations and make them available as a service. Assuming, that this is even possible and the legacy application has a decent design. Or we want to advance individual services, let's say from a technical perspective. In this particular example, we can't wait to get Java EE 7 features into our application and WebLogic is still mostly stuck on EE 6. We could do this with REST services or even WebServices, but we might want more. And this is, where the JMS specification comes in.


Oracle JMS Client Libraries in WildFly

In order to send messages between two different servers, you need to have the individual client libraries integrated into the sending end. For WebLogic this is WebLogic JMS Thin Client (wljmsclient.jar). provides Java EE and WebLogic JMS functionality using a much smaller client footprint than a WebLogic Install or Full client, and a somewhat smaller client footprint than a Thin T3 client. As a matter of fact, it contains Java EE JMS APIs and implementations which will directly collide with the ones provided by WildFly. To use them, we'll have to package them as a module and and configure a JMS Bridge in HornetQ to use exactly this. First thing is to add the new module. Change folder to wildfly-8.2.0.Final\modules\system\layers\base and create a new folder structure: custom\oracle\weblogic\main underneath it. Copy the wlthint3client.jar from the %MW_HOME%\server\lib folder here. Now you have to add a module descriptor file, module.xml:

<module xmlns="urn:jboss:module:2.0" name="custom.oracle.weblogic">
    <resources>
        <resource-root path="wlthint3client.jar">
            <filter>
                <exclude-set>
                    <path name="javax.ejb"/>
                    <path name="javax.ejb.spi"/>
                    <path name="javax.transaction"/>
                    <path name="javax.jms"/>
                    <path name="javax.xml"/>
                    <path name="javax.xml.stream"/>
                </exclude-set>
            </filter>
        </resource-root>
    </resources>

    <dependencies>
        <module name="javax.api"/>
        <module name="sun.jdk" export="false" services="import">
            <exports>
                <include-set>
                    <path name="sun/security/acl"/>
                    <path name="META-INF/services"/>
                </include-set>
            </exports>
        </module>
        <module name="com.sun.xml.bind" />
        <module name="org.omg.api"/>
        <module name="javax.ejb.api" export="false"   />
        <module name="javax.transaction.api"  export="false" />
        <module name="javax.jms.api"  export="false" />
        <module name="javax.xml.stream.api" export="false"  />
        <module name="org.picketbox" optional="true"/>
        <module name="javax.servlet.api" optional="true"/>
        <module name="org.jboss.logging" optional="true"/>
        <module name="org.jboss.as.web" optional="true"/>
        <module name="org.jboss.as.ejb3" optional="true"/>
        <module name="org.hornetq" />
    </dependencies>
</module>

This file defines all the required resources and dependencies together with the relevant excludes. If this is done, we finally need the message bridge.


The HornetQ JMS Message Bridge

The function of a JMS bridge is to consume messages from a source JMS destination, and send them to a target JMS destination. Typically either the source or the target destinations are on different servers. The bridge can also be used to bridge messages from other non HornetQ JMS servers, as long as they are JMS 1.1 compliant. Open the standalone-full.xml and add the following configuration to the messaging subsystem:

<jms-bridge name="wls-bridge" module="custom.oracle.weblogic">
                <source>
                    <connection-factory name="java:/ConnectionFactory"/>
                    <destination name="java:/jms/sourceQ"/>
                </source>
                <target>
                    <connection-factory name="jms/WFMessagesCF"/>
                    <destination name="jms/WFMessages"/>
                    <context>
                        <property key="java.naming.factory.initial"
                              value="weblogic.jndi.WLInitialContextFactory"/>
                        <property key="java.naming.provider.url" 
                              value="t3://127.0.0.1:7001"/>
                    </context>
                </target>
                <quality-of-service>AT_MOST_ONCE</quality-of-service>
                <failure-retry-interval>2000</failure-retry-interval>
                <max-retries>10</max-retries>
                <max-batch-size>500</max-batch-size>
                <max-batch-time>500</max-batch-time>
                <add-messageID-in-header>true</add-messageID-in-header>
            </jms-bridge>

As you can see, it references the module directly and has a source and a target definition. The source is the WildFly local message queue which is defined in the messaging subsystem:

   <jms-queue name="sourceQ">
       <entry name="java:/jms/sourceQ"/>
   </jms-queue>

And the target is the remote queue plus connection factory, which are defined in WebLogic Server. I assume, that you know how to do that, if not, please refer to this documentation. That's pretty much it. Now we need to send a message to our local queue and this is going to be send via the bridge over to the WebLogic queue.


Testing The Bridge - With Camel

Deploy a message driven bean to WebLogic (Yes, you'll have to package it as an ejb jar into an ear and all of this). This particular sample just dumps the message text out to the logger.

@MessageDriven(mappedName = "jms/WFMessages", activationConfig = {
    @ActivationConfigProperty(propertyName = "destinationType", propertyValue = "javax.jms.Queue")
})

public class LogMessageBean implements MessageListener {
    private final static Logger LOGGER = Logger.getLogger(LogMessageBean.class.getName());

    public LogMessageBean() {
    }

    @Override
    public void onMessage(Message message) {
        TextMessage text = (TextMessage) message;
        try {
            LOGGER.log(Level.INFO, text.getText());
        } catch (JMSException jmxe) {
            LOGGER.log(Level.SEVERE, jmxe.getMessage());
        }
    }
}

Now we need a producer on the WildFly server. Do do this, I am actually using the WildFly-Camel JMS integration.

@Startup
@ApplicationScoped
@ContextName("jms-camel-context")
public class JMSRouteBuilder extends RouteBuilder {

    @Override
    public void configure() throws Exception {
        // Initial Context Lookup
        Context ic = new InitialContext();
        ConnectionFactory cf = (ConnectionFactory) ic.lookup("/ConnectionFactory");
        // Create the JMS Component
        JmsComponent component = new JmsComponent();
        component.setConnectionFactory(cf);
        getContext().addComponent("jms", component);
        // Build A JSON Greeting
        JsonObject text = Json.createObjectBuilder()
                 .add("Greeting", "From WildFly 8").build();
        // Send a Message from timer to Queue
        from("timer://sendJMSMessage?fixedRate=true&period=10000")
                .transform(constant(text.toString()))
                .to("jms:queue:sourceQ")
                .log("JMS Message sent");
    }
}

That's the whole magic. A timer sends a JSON Text message to the local queue which is bridged over to WebLogic.



Some More Hints

If you want to test the WebLogic Queue without the bridge, you will have to include the wljmsclient into your project. As this isn't available in a Maven repository (AFAIK), you can simply install it locally:

mvn install:install-file -Dfile=%MW_HOME%/wlserver/server/lib/wlthint3client.jar -DgeneratePom=true -DgroupId=custom.com.oracle -DartifactId=wlthint3client -Dversion=12.1.3 -Dpackaging=jar

Another important thing is, that you will run into classloading issues on WildFly, if you try to use the custom module in any other scope than the bridge. So, pay close attention, that you don't use it somewhere else.

The bridge has a comparibly large failure-retry-interval and max-retries configured. This is a workaround. If WildFly startup is too fast and the bridge tries to access the local sourceQ before the queue is actually configured, it'll lead to an exception.

Find the complete source-code in my GitHub account.

WildFly

Published at DZone with permission of Markus Eisele, DZone MVB. See the original article here.

Opinions expressed by DZone contributors are their own.

Related

  • AWS: Pushing Jakarta EE Full Platform Applications to the Cloud
  • Ultra-Fast Microservices: When MicroStream Meets Wildfly
  • Java High Availability With WildFly on Kubernetes
  • Building Microservices With Wildfly Swarm

Comments

Partner Resources

X

ABOUT US

  • About DZone
  • Send feedback
  • Careers
  • Sitemap

ADVERTISE

  • Advertise with DZone

CONTRIBUTE ON DZONE

  • Article Submission Guidelines
  • Become a Contributor
  • Visit the Writers' Zone

LEGAL

  • Terms of Service
  • Privacy Policy

CONTACT US

  • 3343 Perimeter Hill Drive
  • Suite 100
  • Nashville, TN 37211
  • support@dzone.com

Let's be friends: