Process pending messages faster in ActiveMQ using concurrent user

Question

I have a queue which is getting consumed by an Spring Boot application. As my Spring Boot application is waiting for response from a REST API its not able to process the incoming messages faster due to which the number of pending messages is increasing on my queue.

I have done some R&D and came out with the solution which is mentioned below. Kindly help me by reviewing the solution so that I can know whether I am on a right track.

My current ActiveMQ configuration:

@Bean
public DefaultJmsListenerContainerFactory jmsListenerContainerFactory() {
    DefaultJmsListenerContainerFactory factory = new DefaultJmsListenerContainerFactory();
    factory.setConnectionFactory(activeMQConnectionFactory());
    factory.setConcurrency("1-1");
    return factory;
}

@Bean
public ActiveMQConnectionFactory activeMQConnectionFactory() {
    ActiveMQConnectionFactory factory = new ActiveMQConnectionFactory();
    factory.setBrokerURL(brokerURL);
    factory.setUserName(userName);
    factory.setPassword(password);
    return factory;
}

My planning for solution:-

@Bean
public DefaultJmsListenerContainerFactory jmsListenerContainerFactory() {
    DefaultJmsListenerContainerFactory factory = new DefaultJmsListenerContainerFactory();
    factory.setConnectionFactory(activeMQConnectionFactory());
    factory.setConcurrency("1-50");
    factory.setMaxMessagesPerTask(10);
    factory.setReceiveTimeout(5000L); // 5 seconds
    return factory;
    }
    
@Bean
public ActiveMQConnectionFactory activeMQConnectionFactory() {
    ActiveMQConnectionFactory factory = new ActiveMQConnectionFactory();
    factory.setBrokerURL(brokerURL);
    factory.setUserName(userName);
    factory.setPassword(password);
    
    ActiveMQPrefetchPolicy policy = new ActiveMQPrefetchPolicy();
    policy.setQueuePrefetch(1);
    factory.setPrefetchPolicy(policy);
    return factory;
}

Answer 1

Generally speaking, more consumers (especially concurrent consumers) will process messages more quickly than fewer consumers so this looks good from that perspective.