Java Message Service - JMS Fundamentals

Learn how messaging exchanges business data between sender and receiver via a messaging server, enabling fault tolerance, scalability, and transaction management, as shown by a bank check processing example.

Leverage messaging to enable heterogeneous integration across microservices via a message oriented middleware, achieving loose coupling, reliability, and asynchronous processing to scale with multiple consumers and flexible replacements.

Learn how the JMS standard unifies messaging by providing a single API to send and receive messages across vendors like ActiveMQ, WebSphere MQ, and Tibco MQ.

JMS supports two messaging models: point-to-point with queues, where a single receiver consumes the message, and publish-subscribe with topics, where the same message reaches multiple subscribers.

Explore how Apache ActiveMQ Artemis serves as the JMS provider, enabling durable, scalable messaging with administered objects like connection factories, queues, and topics via JNDI.

Embark on a hands-on JMS course by creating and downloading maven projects, working from scratch to master JMS through assignments and the resources section.

download the JMS assignment solution pdf in the resources section for reference, and refer to these completed solutions as you work on all assignments on your own.

Install Java 8 or JDK 8 by downloading first link titled Java C development kit 8 downloads, accept the license, and run the installer for Windows, Mac, Linux, or Solaris.

install spring tool suite as the ide for spring based projects by downloading the version, installing, and configuring a jdk in sts preferences by pointing to a jdk folder.

Install Apache ActiveMQ Artemis to set up a JMS provider, download the latest zip or tar, unzip, and explore bin, lib, and examples folders for JMS topics and Maven projects.

Create an Apache Artemis mq broker to serve as a JMS provider, configure it, start the broker from bin folder, and manage queues and topics via broker.xml and jndi properties.

Explore the seven core components of the JMS 1.x API—connection factory, destination, connection, session, message, producer, and consumer—and understand how queues and topics drive messaging.

Set up a maven project for JMS fundamentals, add the Artemus planed dependency, and configure the initial context factory, the connection factory, and the queues and topics.

Configure JNDI properties on the classpath to initialize JMS with ActiveMQ, defining the initial context factory, connection factory, and a queue mapped to a broker object.

Send and receive text messages with JMS by creating an initial context, retrieving a connection factory, building a session, and using a producer and consumer with a queue.

Learn to consume a JMS message from a queue by creating a consumer session, linking a destination queue, starting the connection, and receiving and displaying text messages.

Demonstrate a JMS client in action by fixing setup errors, cleaning up the initial context and connection, and running a producer–consumer demo that sends and receives a message.

Set up a Maven JMS project, add Artemis JMS client, configure jndi and broker queue, look up the queue, create a connection and session, then send and consume text message.

Set up a JMS publish-subscribe flow on a topic with a producer and multiple consumers, demonstrating topic lookup, session creation, message sending, and receiving.

Learn how to browse a queue using a queue browser, send multiple text messages, view them without removing them, and then consume the messages with a consumer.

Discover JMS 2.0's simplified API with a JMS context that unifies connection and session, enabling single-line send and receive, auto closeable resources, and compatibility with JMS 1.x legacy.

Explore using the JMS 2.0 API with JMS context to produce and consume messages via a queue, leveraging a connection factory and try-with-resources for automatic resource management.

Explore the jms message structure, including headers, properties, and the payload, and how provider and developer headers govern routing, identification, and filtering.

Set priority on messages with a producer, send three messages with varying priorities, and observe that higher priorities are delivered first to the consumer.

Use consumer.receive to obtain the actual message and read its JMS priority header. Understand the default priority is four, and without set priorities, messages are delivered in order received.

Implement request-reply messaging with JMS by sending from application one to application two, who replies on a dedicated reply queue using message IDs and correlation IDs.

Learn to use the replyTo header in JMS to dynamically specify the reply destination, set the jms reply to on the message, and route replies via the designated queue.

Understand when the JMS replyTo header is useful in real-time messaging. See how to dynamically create a temporary queue and use it as the reply destination.

Link requests to replies using JMS message ID and correlation ID headers. Producers generate a JMS ID and replies use the correlation ID to route each response correctly.

Set a message expiry with set time to live in a JMS producer, observe the message expiring after 2 seconds, and moving to the expiry queue.

this lecture explains how expired JMS messages are not lost; brokers auto-move them to an expiry queue, which you can access via jndi to consume and view the message.

Set the jms producer to delay message delivery by configuring delivery delay in milliseconds, demonstrating a three-second pause before the message is delivered.

Learn to set custom properties on a JMS text message using JMS context, including boolean and string properties, and retrieve them on the receiver side.

Explore the five JMS message types—text, byte, object, stream, and map—each implementing the common message interface, with streams preserving order and maps handling key-value pairs.

explore how to create and use bytes, stream, and map messages in JMS to carry payloads and name-value pairs, writing and reading data with the corresponding methods.

Learn how to create and send a Java object message in JMS by serializing a patient object, ensuring it implements serializable, and deserializing it on the consumer side.

JMS 2.0 simplifies sending different message types with a single generic send method, enabling direct transmission of serializable objects, text, bytes, and maps, and typed reception without object messages.

Use point to point for one-to-one communication between decoupled applications, with read-once messages, and leverage interoperability, throughput, and a queue browser.

Learn point-to-point messaging with a patient eligibility use case, implementing decoupled clinical and eligibility apps that exchange insurance data via queues, enabling asynchronous processing and load balancing across multiple consumers.

Create a Maven project for a point-to-point JMS use case, add the JMS client dependency, configure pom.xml, and set up JNDI properties with request and reply queues.

Create a patient model class for the hospital management JMS project, featuring id, name, insurance provider, copay, and amount to be paid. Implement serializable for queue transmission.

Send a clinical patient eligibility request as an object message to a request queue using a JMS context and ActiveMQ, then read the response from the response queue.

Learn asynchronous processing in JMS by implementing a message listener with an on message method, registering it with the JMS provider, and eliminating polling overhead.

Learn to receive patient data using JMS by creating a consumer, setting a message listener, and handling ObjectMessage to cast to a patient object for asynchronous processing.

Process the JMS message to check insurance provider (Blue Cross Blue Shield or United Health), assess eligibility based on copay, and send a reply on the reply queue.

Process the response in a Java Message Service workflow by creating and reading from reply queue, consuming a map message, and displaying patient eligibility based on a boolean eligible value.

Test the clinical and eligibility checker apps with a JMS-based workflow, using a listener and main method to observe true or false eligibility based on copay and decoupled messaging.

Demonstrates load balancing with JMS by sending ten messages to a queue and using multiple consumers to process them in parallel, showcasing scalable, concurrent consumption.

Explore the publish-subscribe messaging model in JMS, where a publisher writes to a topic and multiple subscribers react to events across applications such as bed management and billing.

Explore publish-subscribe messaging in a standalone Java HR app use case, publishing to a topic for three subscribers using durable and shared subscriptions with load balancing.

Create a new maven project named pub sub, configure jnd properties under src/main/resources, and add the artemis jms client to define a single enp topic for employee data.

Create a hr app that publishes an employee object to a JMS topic, defining an employee class that implements Serializable and sending the serialized message via a JMS producer.

Develop three JMS subscribers for security, payroll, and wellness apps to consume topic messages, using jms context to create consumers and read Employee objects.

Demonstrates a publish-subscribe workflow in JMS by running payroll, security, and wellness subscribers that listen to a topic, while the HR publisher sends a message received by all subscribers.

Discover how durable subscriptions in the JMS pub-sub model retain messages for offline subscribers using unique client IDs and subscription names, ensuring delivery when they come back online.

Explore durable subscriptions in JMS by setting a unique client id, creating a durable consumer on a topic, retaining messages for a reconnecting consumer, and unsubscribing to remove the subscription.

Learn how JMS filters use selectors with SQL-like syntax to filter messages by properties and headers. The filters apply to the message metadata, not the payload.

create a maven project named message filtering and set up a claim queue. build a serializable claim model with hospital id, doctor name, doctor type, insurance provider, and claim amount.

Create a claim management class that produces and consumes claim requests via an object message, setting hospital id, doctor name, amount, and insurance, sending to claim queue with message selector.

Apply message filtering by property, using a producer–consumer contract to set hospital i.d. and use operators to receive only matching messages and display the claim amount.

Learn to build complex JMS selectors with operators like is equal to, between, like, in, and arithmetic operators, filtering messages by claim amount and doctor name.

Learn to use JMS headers in filter expressions to filter messages by priority, using priority between 3 and 6, with default priority 4 and the or logic.

Explore how JMS guarantees message delivery through acknowledgments, detailing producer, consumer, and server roles and the auto acknowledge mode.

Set up a Maven project in STS for guaranteed messaging, add pom.xml dependencies, and configure JNDI properties. Create a request queue to demonstrate JMS acknowledgement modes and transaction management.

Create a simple JMS producer and consumer that uses auto acknowledge and handles text messages on the request queue to show message flow.

Learn how dups_ok_acknowledge and client_acknowledge modes handle message delivery in JMS, enabling duplicates handling and non-blocking consumption while the consumer tracks duplicates with message IDs.

Explore CLIENT_ACKNOWLEDGE and DUPS_OK_ACKNOWLEDGE modes in JMS, showing how the client takes control with explicit message.acknowledge on the consumer to remove messages from the queue.

Enable transactions in JMS by using session transacted on producers and consumers, committing or rolling back to manage message delivery and discard or re-deliver uncommitted messages.

Enable transactions on the JMS context and session to ensure commits finalize delivery, with rollback available to undo pending messages in producer and consumer workflows.

Enable transactions on the consumer side with JMS context to commit and remove messages from the queue after processing. Use rollback to undo processing when needed.

Explore how to secure JMS broker access with Artemis, including user and password management, role-based authorization, and wildcard based security rules for queues and topics, plus send and consume permissions.

Create two users: clinical user and eligibility user, and two roles in the P2P JMS app, set their user-password pairs, and assign each user to its role to secure the broker.

Configure broker security by applying eligibility roles via a queue name pattern to request and reply queues, enabling create, send, and consume permissions.

Demonstrates security in action for Java Message Service fundamentals by enforcing username and password authentication and role-based permissions on durable queues, across eligibility and clinical apps via broker configurations.