---

name: activemq description: | Apache ActiveMQ message broker with JMS support. Covers queues, topics, message selectors, and Spring integration. Use for enterprise Java messaging and JMS-compliant applications.

USE WHEN: user mentions "activemq", "jms", "artemis", "message selectors", "virtual topics", asks about "java messaging", "jms queues", "enterprise messaging", "spring jms"

DO NOT USE FOR: event streaming - use kafka or pulsar; cloud-native - use nats; AWS-native - use sqs; Azure-native - use azure-service-bus; non-JMS preferred - use rabbitmq or kafka allowed-tools: Read, Grep, Glob, Write, Edit

Apache ActiveMQ Core Knowledge

Deep Knowledge: Use mcp__documentation__fetch_docs with technology: activemq for comprehensive documentation.

Quick Start (Docker)

# docker-compose.yml
services:
  activemq:
    image: apache/activemq-artemis:latest
    ports:
      - "61616:61616" # AMQP/OpenWire
      - "8161:8161"   # Web Console
    environment:
      - ARTEMIS_USER=admin
      - ARTEMIS_PASSWORD=admin
    volumes:
      - activemq_data:/var/lib/artemis-instance

volumes:
  activemq_data:

docker-compose up -d
# Web Console: http://localhost:8161/console

Core Concepts

Concept	Description
Queue	Point-to-point messaging
Topic	Publish-subscribe messaging
Selector	SQL-like message filtering
Durable Subscriber	Persisted topic subscription
Message Groups	Ordered message processing
Virtual Topic	Queue semantics on topics

JMS Architecture

┌─────────────────────────────────────────────────────────┐
│                    ActiveMQ Broker                       │
│                                                         │
│   Queue (P2P)              Topic (Pub/Sub)             │
│   ┌─────────┐              ┌─────────┐                 │
│   │ Message │              │ Message │                 │
│   │  Queue  │──▶Consumer   │  Topic  │──▶Subscriber 1 │
│   └─────────┘              └─────────┘──▶Subscriber 2 │
│        ▲                        ▲                      │
│        │                        │                      │
│   Producer                  Publisher                  │
└─────────────────────────────────────────────────────────┘

JMS Message Types

Type	Description
TextMessage	String content
BytesMessage	Binary data
MapMessage	Key-value pairs
ObjectMessage	Serialized Java object
StreamMessage	Sequential data stream

Producer Patterns

Java (Spring JMS)

@Configuration
@EnableJms
public class JmsConfig {
    @Bean
    public ConnectionFactory connectionFactory() {
        ActiveMQConnectionFactory factory = new ActiveMQConnectionFactory();
        factory.setBrokerURL("tcp://localhost:61616");
        factory.setUserName("admin");
        factory.setPassword("admin");
        return factory;
    }

    @Bean
    public JmsTemplate jmsTemplate(ConnectionFactory connectionFactory) {
        JmsTemplate template = new JmsTemplate(connectionFactory);
        template.setDeliveryPersistent(true);
        template.setSessionAcknowledgeMode(Session.CLIENT_ACKNOWLEDGE);
        return template;
    }

    @Bean
    public JmsTemplate topicJmsTemplate(ConnectionFactory connectionFactory) {
        JmsTemplate template = new JmsTemplate(connectionFactory);
        template.setPubSubDomain(true);  // Enable topic mode
        return template;
    }
}

@Service
public class OrderProducer {
    @Autowired
    private JmsTemplate jmsTemplate;

    // Send to queue
    public void sendToQueue(Order order) {
        jmsTemplate.convertAndSend("orders.queue", order, message -> {
            message.setJMSCorrelationID(UUID.randomUUID().toString());
            message.setStringProperty("orderType", order.getType());
            message.setIntProperty("priority", order.getPriority());
            return message;
        });
    }

    // Send with reply
    public OrderResponse sendAndReceive(Order order) {
        return (OrderResponse) jmsTemplate.sendAndReceive("orders.queue",
            session -> {
                ObjectMessage msg = session.createObjectMessage(order);
                msg.setJMSReplyTo(session.createTemporaryQueue());
                return msg;
            });
    }
}

@Service
public class EventPublisher {
    @Autowired
    @Qualifier("topicJmsTemplate")
    private JmsTemplate topicTemplate;

    // Publish to topic
    public void publishEvent(OrderEvent event) {
        topicTemplate.convertAndSend("orders.events", event);
    }
}

Node.js (stompit)

import stompit from 'stompit';

const connectOptions = {
  host: 'localhost',
  port: 61613,
  connectHeaders: {
    host: '/',
    login: 'admin',
    passcode: 'admin',
    'heart-beat': '5000,5000',
  },
};

stompit.connect(connectOptions, (error, client) => {
  if (error) {
    console.error('Connection error:', error);
    return;
  }

  const sendHeaders = {
    destination: '/queue/orders',
    'content-type': 'application/json',
    persistent: 'true',
    'correlation-id': uuidv4(),
  };

  const frame = client.send(sendHeaders);
  frame.write(JSON.stringify(order));
  frame.end();

  client.disconnect();
});

Python (stomp.py)

import stomp
import json

class OrderListener(stomp.ConnectionListener):
    def on_error(self, frame):
        print(f'Error: {frame.body}')

    def on_message(self, frame):
        print(f'Received: {frame.body}')

conn = stomp.Connection([('localhost', 61613)])
conn.set_listener('', OrderListener())
conn.connect('admin', 'admin', wait=True)

# Send to queue
conn.send(
    destination='/queue/orders',
    body=json.dumps(order),
    headers={
        'persistent': 'true',
        'content-type': 'application/json',
        'correlation-id': correlation_id,
    }
)

conn.disconnect()

Consumer Patterns

Java (Spring JMS)

@Configuration
public class JmsListenerConfig {
    @Bean
    public DefaultJmsListenerContainerFactory jmsListenerContainerFactory(
            ConnectionFactory connectionFactory) {
        DefaultJmsListenerContainerFactory factory = new DefaultJmsListenerContainerFactory();
        factory.setConnectionFactory(connectionFactory);
        factory.setConcurrency("3-10");
        factory.setSessionAcknowledgeMode(Session.CLIENT_ACKNOWLEDGE);
        factory.setErrorHandler(t -> log.error("JMS Error", t));
        return factory;
    }

    @Bean
    public DefaultJmsListenerContainerFactory topicListenerContainerFactory(
            ConnectionFactory connectionFactory) {
        DefaultJmsListenerContainerFactory factory = new DefaultJmsListenerContainerFactory();
        factory.setConnectionFactory(connectionFactory);
        factory.setPubSubDomain(true);
        factory.setSubscriptionDurable(true);
        factory.setClientId("order-service");
        return factory;
    }
}

@Service
public class OrderConsumer {
    // Queue consumer
    @JmsListener(destination = "orders.queue", concurrency = "3-10")
    public void consumeQueue(
            @Payload Order order,
            @Header(JmsHeaders.CORRELATION_ID) String correlationId,
            @Header(name = "orderType", required = false) String orderType,
            Session session,
            Message message) throws JMSException {

        try {
            processOrder(order);
            message.acknowledge();
        } catch (Exception e) {
            session.recover();  // Redelivery
        }
    }

    // Queue consumer with selector
    @JmsListener(
        destination = "orders.queue",
        selector = "orderType = 'EXPRESS' AND priority > 5"
    )
    public void consumeExpressOrders(Order order) {
        processExpressOrder(order);
    }

    // Durable topic subscriber
    @JmsListener(
        destination = "orders.events",
        containerFactory = "topicListenerContainerFactory",
        subscription = "order-processor"
    )
    public void consumeTopic(OrderEvent event) {
        processEvent(event);
    }
}

Request/Reply Pattern

@Service
public class OrderService {
    @JmsListener(destination = "orders.request")
    @SendTo("orders.response")
    public OrderResponse processOrderRequest(Order order) {
        // Process and return response
        return new OrderResponse(order.getId(), "PROCESSED");
    }
}

Node.js (stompit)

stompit.connect(connectOptions, (error, client) => {
  const subscribeHeaders = {
    destination: '/queue/orders',
    ack: 'client-individual',
  };

  client.subscribe(subscribeHeaders, (error, message) => {
    if (error) {
      console.error('Subscribe error:', error);
      return;
    }

    message.readString('utf-8', (error, body) => {
      if (error) {
        client.nack(message);
        return;
      }

      try {
        const order = JSON.parse(body);
        processOrder(order);
        client.ack(message);
      } catch (e) {
        client.nack(message);
      }
    });
  });
});

Message Groups

Ensures ordered processing by grouping related messages.

// Producer
jmsTemplate.convertAndSend("orders.queue", order, message -> {
    message.setStringProperty("JMSXGroupID", order.getCustomerId());
    message.setIntProperty("JMSXGroupSeq", sequenceNumber);
    return message;
});

// Consumer receives messages in order per group
@JmsListener(destination = "orders.queue")
public void consume(Order order, @Header("JMSXGroupID") String groupId) {
    // Messages with same groupId processed in order
}

Virtual Topics

Combine topic semantics with queue load balancing.

Publisher ──▶ VirtualTopic.Orders ──▶ Consumer.A.VirtualTopic.Orders (Consumer Group A)
                                  ──▶ Consumer.B.VirtualTopic.Orders (Consumer Group B)

// Publisher sends to virtual topic
topicTemplate.convertAndSend("VirtualTopic.Orders", event);

// Consumer subscribes to virtual consumer queue
@JmsListener(destination = "Consumer.OrderProcessor.VirtualTopic.Orders")
public void consume(OrderEvent event) {
    // Load balanced within consumer group
}

When NOT to Use This Skill

Use alternative messaging solutions when:

• Event streaming with replay - Kafka provides better event sourcing
• Ultra-high throughput - Kafka or Pulsar scale better
• Cloud-native microservices - NATS or cloud providers are simpler
• Non-Java environments primarily - RabbitMQ has better multi-language support
• Serverless architecture - Use cloud-native queues (SQS, Service Bus)
• Simple pub/sub - Redis or NATS may be sufficient
• Modern streaming patterns - Kafka Streams or Pulsar Functions

Anti-Patterns

Anti-Pattern	Why It's Bad	Solution
Non-persistent delivery in production	Message loss on broker restart	Use persistent delivery mode
No DLQ configured	Poison messages loop forever	Configure dead letter queue
Auto-acknowledge mode	Message loss on consumer crash	Use client or transacted acknowledge
Large message payloads	Memory pressure, poor performance	Store in database/blob, send reference
Too many topics/queues	Management overhead	Use selectors or consolidate destinations
ObjectMessage serialization	Security risks, coupling	Use JSON/XML with TextMessage
No prefetch limit	Consumer overwhelmed	Configure prefetch based on processing time
Synchronous sends everywhere	Poor throughput	Use async sends for non-critical messages
No connection pooling	Too many connections	Use pooled connection factory
Default persistence adapter	Poor performance at scale	Use KahaDB or JDBC with tuning

Quick Troubleshooting

Issue	Likely Cause	Fix
Messages piling up	Slow/dead consumers	Check consumer health and count
High memory usage	Too many messages in memory	Enable message cursor, reduce prefetch
Connection refused	Wrong URL or broker down	Verify broker URL and broker status
Messages not consumed	No active consumers	Start consumers, check subscriptions
Duplicate messages	Non-transacted consumers	Use transactions or implement idempotency
Store full	Message retention too long	Configure message TTL, purge old messages
Slow message delivery	Persistence bottleneck	Tune KahaDB, use faster disk
Selector not working	Wrong SQL syntax	Test selector syntax, check message properties
Client timeout	Slow network or broker overload	Increase socket timeout, scale broker
Durable subscriber not receiving	Subscription disconnected	Check client ID and subscription name

Production Readiness

Security Configuration

<!-- broker.xml (Artemis) -->
<security-settings>
    <security-setting match="#">
        <permission type="createNonDurableQueue" roles="admin,user"/>
        <permission type="deleteNonDurableQueue" roles="admin,user"/>
        <permission type="createDurableQueue" roles="admin"/>
        <permission type="deleteDurableQueue" roles="admin"/>
        <permission type="consume" roles="admin,user"/>
        <permission type="send" roles="admin,user"/>
    </security-setting>
</security-settings>

<acceptors>
    <acceptor name="ssl">
        tcp://0.0.0.0:61617?sslEnabled=true;keyStorePath=/path/keystore.jks;keyStorePassword=password
    </acceptor>
</acceptors>

// Client with SSL
ActiveMQConnectionFactory factory = new ActiveMQConnectionFactory();
factory.setBrokerURL("ssl://localhost:61617");
factory.setTrustStore("/path/truststore.jks");
factory.setTrustStorePassword("password");

High Availability

<!-- Live-backup pair -->
<ha-policy>
    <replication>
        <master>
            <group-name>live-backup-group</group-name>
            <check-for-live-server>true</check-for-live-server>
        </master>
    </replication>
</ha-policy>

Monitoring Metrics

Metric	Alert Threshold
Queue depth	> 10000 messages
Consumer count	< expected
Memory usage	> 80%
Store usage	> 80%
Dispatch rate	Anomaly detection
Enqueue rate	Anomaly detection

Checklist

• SSL/TLS enabled
• Authentication configured
• Authorization (JAAS) set up
• Dead letter queue configured
• Message expiration set
• Persistence enabled
• Clustering configured
• JMX monitoring enabled
• Disk usage alerts
• Backup procedures tested

Reference Documentation

Deep Knowledge: Use mcp__documentation__fetch_docs with technology: activemq for comprehensive documentation.

Available topics: basics, destinations, producers, consumers, spring-integration, production