Sun GlassFish Enterprise Server v2.1.1 Deployment Planning Guide

Multi-Broker Clusters

MQ supports using multiple interconnected broker instances known as a broker cluster. With broker clusters, client connections are distributed across all the brokers in the cluster. Clustering provides horizontal scalability and improves availability.

A single message broker scales to about eight CPUs and provides sufficient throughput for typical applications. If a broker process fails, it is automatically restarted. However, as the number of clients connected to a broker increases, and as the number of messages being delivered increases, a broker will eventually exceed limitations such as number of file descriptors and memory.

Having multiple brokers in a cluster rather than a single broker enables you to:

However, having multiple brokers does not ensure that transactions in progress at the time of a broker failure will continue on the alternate broker. While MQ will re-establish a failed connection with a different broker in a cluster, it will lose transactional messaging and roll back transactions in progress. User applications will not be affected, except for transactions that could not be completed. Service failover is assured since connections continue to be usable.

Thus, MQ does not support high availability persistent messaging in a cluster. If a broker restarts after failure, it will automatically recover and complete delivery of persistent messages. Persistent messages may be stored in a database or on the file system. However if the machine hosting the broker does not recover from a hard failure, messages may be lost.

The Solaris platform with Sun Cluster Data Service for Sun Message Queue supports transparent failover of persistent messages. This configuration leverages Sun Cluster’s global file system and IP failover to deliver true high availability and is included with Java Enterprise System.

Master Broker and Client Synchronization

In a multi-broker configuration, each destination is replicated on all of the brokers in a cluster. Each broker knows about message consumers that are registered for destinations on all other brokers. Each broker can therefore route messages from its own directly-connected message producers to remote message consumers, and deliver messages from remote producers to its own directly-connected consumers.

In a cluster configuration, the broker to which each message producer is directly connected performs the routing for messages sent to it by that producer. Hence, a persistent message is both stored and routed by the message’s home broker.

Whenever an administrator creates or destroys a destination on a broker, this information is automatically propagated to all other brokers in a cluster. Similarly, whenever a message consumer is registered with its home broker, or whenever a consumer is disconnected from its home broker—either explicitly or because of a client or network failure, or because its home broker goes down—the relevant information about the consumer is propagated throughout the cluster. In a similar fashion, information about durable subscriptions is also propagated to all brokers in a cluster.