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Chapter 14. Setting up a broker cluster

A cluster consists of multiple broker instances that have been grouped together. Broker clusters enhance performance by distributing the message processing load across multiple brokers. In addition, broker clusters can minimize downtime through high availability.

You can connect brokers together in many different cluster topologies. Within the cluster, each active broker manages its own messages and handles its own connections.

You can also balance client connections across the cluster and redistribute messages to avoid broker starvation.

14.1. Understanding broker clusters

Before creating a broker cluster, you should understand some important clustering concepts.

14.1.1. How broker clusters balance message load

When brokers are connected to form a cluster, AMQ Broker automatically balances the message load between the brokers. This ensures that the cluster can maintain high message throughput.

Consider a symmetric cluster of four brokers. Each broker is configured with a queue named OrderQueue. The OrderProducer client connects to Broker1 and sends messages to OrderQueue. Broker1 forwards the messages to the other brokers in round-robin fashion. The OrderConsumer clients connected to each broker consume the messages. The exact order depends on the order in which the brokers started.

Figure 14.1. Message load balancing

Messages are load balanced across the brokers in the cluster

Without message load balancing, the messages sent to Broker1 would stay on Broker1 and only OrderConsumer1 would be able to consume them.

While AMQ Broker automatically load balances messages by default, you can configure:

  • the cluster to load balance messages to brokers that have a matching queue.
  • the cluster to load balance messages to brokers that have a matching queue with active consumers.
  • the cluster to not load balance, but to perform redistribution of messages from queues that do not have any consumers to queues that do have consumers.
  • an address to automatically redistribute messages from queues that do not have any consumers to queues that do have consumers.

Additional resources

14.1.2. How broker clusters improve reliability

Broker clusters make high availability and failover possible, which makes them more reliable than standalone brokers. By configuring high availability, you can ensure that client applications can continue to send and receive messages even if a broker encounters a failure event.

With high availability, the brokers in the cluster are grouped into live-backup groups. A live-backup group consists of a live broker that serves client requests, and one or more backup brokers that wait passively to replace the live broker if it fails. If a failure occurs, the backup brokers replaces the live broker in its live-backup group, and the clients reconnect and continue their work.

14.1.3. Understanding node IDs

The broker node ID is a Globally Unique Identifier (GUID) generated programmatically when the journal for a broker instance is first created and initialized. The node ID is stored in the server.lock file. The node ID is used to uniquely identify a broker instance, regardless of whether the broker is a standalone instance, or part of a cluster. Live-backup broker pairs share the same node ID, since they share the same journal.

In a broker cluster, broker instances (nodes) connect to each other and create bridges and internal "store-and-forward" queues. The names of these internal queues are based on the node IDs of the other broker instances. Broker instances also monitor cluster broadcasts for node IDs that match their own. A broker produces a warning message in the log if it identifies a duplicate ID.

When you are using the replication high availability (HA) policy, a master broker that starts and has check-for-live-server set to true searches for a broker that is using its node ID. If the master broker finds another broker using the same node ID, it either does not start, or initiates failback, based on the HA configuration.

The node ID is durable, meaning that it survives restarts of the broker. However, if you delete a broker instance (including its journal), then the node ID is also permanently deleted.

Additional resources

14.1.4. Common broker cluster topologies

You can connect brokers to form either a symmetric or chain cluster topology. The topology you implement depends on your environment and messaging requirements.

Symmetric clusters

In a symmetric cluster, every broker is connected to every other broker. This means that every broker is no more than one hop away from every other broker.

Figure 14.2. Symmetric cluster

In a four-broker symmetric cluster each broker is connected to every other broker

Each broker in a symmetric cluster is aware of all of the queues that exist on every other broker in the cluster and the consumers that are listening on those queues. Therefore, symmetric clusters are able to load balance and redistribute messages more optimally than a chain cluster.

Symmetric clusters are easier to set up than chain clusters, but they can be difficult to use in environments in which network restrictions prevent brokers from being directly connected.

Chain clusters

In a chain cluster, each broker in the cluster is not connected to every broker in the cluster directly. Instead, the brokers form a chain with a broker on each end of the chain and all other brokers just connecting to the previous and next brokers in the chain.

Figure 14.3. Chain cluster

In a four-broker chain cluster the brokers are connected in a chain

Chain clusters are more difficult to set up than symmetric clusters, but can be useful when brokers are on separate networks and cannot be directly connected. By using a chain cluster, an intermediary broker can indirectly connect two brokers to enable messages to flow between them even though the two brokers are not directly connected.

14.1.5. Broker discovery methods

Discovery is the mechanism by which brokers in a cluster propagate their connection details to each other. AMQ Broker supports both dynamic discovery and static discovery.

Dynamic discovery

Each broker in the cluster broadcasts its connection settings to the other members through either UDP multicast or JGroups. In this method, each broker uses:

  • A broadcast group to push information about its cluster connection to other potential members of the cluster.
  • A discovery group to receive and store cluster connection information about the other brokers in the cluster.
Static discovery

If you are not able to use UDP or JGroups in your network, or if you want to manually specify each member of the cluster, you can use static discovery. In this method, a broker "joins" the cluster by connecting to a second broker and sending its connection details. The second broker then propagates those details to the other brokers in the cluster.

14.1.6. Cluster sizing considerations

Before creating a broker cluster, consider your messaging throughput, topology, and high availability requirements. These factors affect the number of brokers to include in the cluster.

Note

After creating the cluster, you can adjust the size by adding and removing brokers. You can add and remove brokers without losing any messages.

Messaging throughput

The cluster should contain enough brokers to provide the messaging throughput that you require. The more brokers in the cluster, the greater the throughput. However, large clusters can be complex to manage.

Topology

You can create either symmetric clusters or chain clusters. The type of topology you choose affects the number of brokers you may need.

For more information, see Section 14.1.4, “Common broker cluster topologies”.

High availability

If you require high availability (HA), consider choosing an HA policy before creating the cluster. The HA policy affects the size of the cluster, because each master broker should have at least one slave broker.

For more information, see Section 14.3, “Implementing high availability”.

14.2. Creating a broker cluster

You create a broker cluster by configuring a cluster connection on each broker that should participate in the cluster. The cluster connection defines how the broker should connect to the other brokers.

You can create a broker cluster that uses static discovery or dynamic discovery (either UDP multicast or JGroups).

Prerequisites

14.2.1. Creating a broker cluster with static discovery

You can create a broker cluster by specifying a static list of brokers. Use this static discovery method if you are unable to use UDP multicast or JGroups on your network.

Procedure

  1. Open the <broker_instance_dir>/etc/broker.xml configuration file.

  2. Within the <core> element, add the following connectors:

    • A connector that defines how other brokers can connect to this one
    • One or more connectors that define how this broker can connect to other brokers in the cluster 
    <configuration>
    <core>
        ...
        <connectors>
            <connector name="netty-connector">tcp://localhost:61617</connector>  1
            <connector name="broker2">tcp://localhost:61618</connector>  2
            <connector name="broker3">tcp://localhost:61619</connector>
        </connectors>
        ...
    </core>
</configuration>
    1
    This connector defines connection information that other brokers can use to connect to this one. This information will be sent to other brokers in the cluster during discovery.
    2
    The broker2 and broker3 connectors define how this broker can connect to two other brokers in the cluster, one of which will always be available. If there are other brokers in the cluster, they will be discovered by one of these connectors when the initial connection is made.

    For more information about connectors, see Section 2.3, “About connectors”.

  3. Add a cluster connection and configure it to use static discovery.

    By default, the cluster connection will load balance messages for all addresses in a symmetric topology. 

    <configuration>
    <core>
        ...
        <cluster-connections>
            <cluster-connection name="my-cluster">
                <connector-ref>netty-connector</connector-ref>
                <static-connectors>
                    <connector-ref>broker2-connector</connector-ref>
                    <connector-ref>broker3-connector</connector-ref>
                </static-connectors>
            </cluster-connection>
        </cluster-connections>
        ...
    </core>
</configuration>
    cluster-connection
    Use the name attribute to specify the name of the cluster connection.
    connector-ref
    The connector that defines how other brokers can connect to this one.
    static-connectors
    One or more connectors that this broker can use to make an initial connection to another broker in the cluster. After making this initial connection, the broker will discover the other brokers in the cluster. You only need to configure this property if the cluster uses static discovery.

  4. Configure any additional properties for the cluster connection.

    These additional cluster connection properties have default values that are suitable for most common use cases. Therefore, you only need to configure these properties if you do not want the default behavior. For more information, see Appendix C, Cluster Connection Configuration Elements.

  5. Create the cluster user and password.

    AMQ Broker ships with default cluster credentials, but you should change them to prevent unauthorized remote clients from using these default credentials to connect to the broker.

    Important

    The cluster password must be the same on every broker in the cluster. 

    <configuration>
    <core>
        ...
        <cluster-user>cluster_user</cluster-user>
        <cluster-password>cluster_user_password</cluster-password>
        ...
    </core>
</configuration>

  6. Repeat this procedure on each additional broker.

    You can copy the cluster configuration to each additional broker. However, do not copy any of the other AMQ Broker data files (such as the bindings, journal, and large messages directories). These files must be unique among the nodes in the cluster or the cluster will not form properly.

Additional resources

14.2.2. Creating a broker cluster with UDP-based dynamic discovery

You can create a broker cluster in which the brokers discover each other dynamically through UDP multicast.

Procedure

  1. Open the <broker_instance_dir>/etc/broker.xml configuration file.

  2. Within the <core> element, add a connector.

    This connector defines connection information that other brokers can use to connect to this one. This information will be sent to other brokers in the cluster during discovery. 

    <configuration>
    <core>
        ...
        <connectors>
            <connector name="netty-connector">tcp://localhost:61617</connector>
        </connectors>
        ...
    </core>
</configuration>

  3. Add a UDP broadcast group.

    The broadcast group enables the broker to push information about its cluster connection to the other brokers in the cluster. This broadcast group uses UDP to broadcast the connection settings: 

    <configuration>
    <core>
        ...
        <broadcast-groups>
            <broadcast-group name="my-broadcast-group">
                <local-bind-address>172.16.9.3</local-bind-address>
                <local-bind-port>-1</local-bind-port>
                <group-address>231.7.7.7</group-address>
                <group-port>9876</group-port>
                <broadcast-period>2000</broadcast-period>
                <connector-ref>netty-connector</connector-ref>
            </broadcast-group>
        </broadcast-groups>
        ...
    </core>
</configuration>

    The following parameters are required unless otherwise noted:

    broadcast-group
    Use the name attribute to specify a unique name for the broadcast group.
    local-bind-address
    The address to which the UDP socket is bound. If you have multiple network interfaces on your broker, you should specify which one you want to use for broadcasts. If this property is not specified, the socket will be bound to an IP address chosen by the operating system. This is a UDP-specific attribute.
    local-bind-port
    The port to which the datagram socket is bound. In most cases, use the default value of -1, which specifies an anonymous port. This parameter is used in connection with local-bind-address. This is a UDP-specific attribute.
    group-address
    The multicast address to which the data will be broadcast. It is a class D IP address in the range 224.0.0.0 - 239.255.255.255 inclusive. The address 224.0.0.0 is reserved and is not available for use. This is a UDP-specific attribute.
    group-port
    The UDP port number used for broadcasting. This is a UDP-specific attribute.
    broadcast-period (optional)
    The interval in milliseconds between consecutive broadcasts. The default value is 2000 milliseconds.
    connector-ref
    The previously configured cluster connector that should be broadcasted.

  4. Add a UDP discovery group.

    The discovery group defines how this broker receives connector information from other brokers. The broker maintains a list of connectors (one entry for each broker). As it receives broadcasts from a broker, it updates its entry. If it does not receive a broadcast from a broker for a length of time, it removes the entry.

    This discovery group uses UDP to discover the brokers in the cluster: 

    <configuration>
    <core>
        ...
        <discovery-groups>
            <discovery-group name="my-discovery-group">
                <local-bind-address>172.16.9.7</local-bind-address>
                <group-address>231.7.7.7</group-address>
                <group-port>9876</group-port>
                <refresh-timeout>10000</refresh-timeout>
            </discovery-group>
        <discovery-groups>
        ...
    </core>
</configuration>

    The following parameters are required unless otherwise noted:

    discovery-group
    Use the name attribute to specify a unique name for the discovery group.
    local-bind-address (optional)
    If the machine on which the broker is running uses multiple network interfaces, you can specify the network interface to which the discovery group should listen. This is a UDP-specific attribute.
    group-address
    The multicast address of the group on which to listen. It should match the group-address in the broadcast group that you want to listen from. This is a UDP-specific attribute.
    group-port
    The UDP port number of the multicast group. It should match the group-port in the broadcast group that you want to listen from. This is a UDP-specific attribute.
    refresh-timeout (optional)

    The amount of time in milliseconds that the discovery group waits after receiving the last broadcast from a particular broker before removing that broker’s connector pair entry from its list. The default is 10000 milliseconds (10 seconds).

    Set this to a much higher value than the broadcast-period on the broadcast group. Otherwise, brokers might periodically disappear from the list even though they are still broadcasting (due to slight differences in timing).

  5. Create a cluster connection and configure it to use dynamic discovery.

    By default, the cluster connection will load balance messages for all addresses in a symmetric topology. 

    <configuration>
    <core>
        ...
        <cluster-connections>
            <cluster-connection name="my-cluster">
                <connector-ref>netty-connector</connector-ref>
                <discovery-group-ref discovery-group-name="my-discovery-group"/>
            </cluster-connection>
        </cluster-connections>
        ...
    </core>
</configuration>
    cluster-connection
    Use the name attribute to specify the name of the cluster connection.
    connector-ref
    The connector that defines how other brokers can connect to this one.
    discovery-group-ref
    The discovery group that this broker should use to locate other members of the cluster. You only need to configure this property if the cluster uses dynamic discovery.

  6. Configure any additional properties for the cluster connection.

    These additional cluster connection properties have default values that are suitable for most common use cases. Therefore, you only need to configure these properties if you do not want the default behavior. For more information, see Appendix C, Cluster Connection Configuration Elements.

  7. Create the cluster user and password.

    AMQ Broker ships with default cluster credentials, but you should change them to prevent unauthorized remote clients from using these default credentials to connect to the broker.

    Important

    The cluster password must be the same on every broker in the cluster. 

    <configuration>
    <core>
        ...
        <cluster-user>cluster_user</cluster-user>
        <cluster-password>cluster_user_password</cluster-password>
        ...
    </core>
</configuration>

  8. Repeat this procedure on each additional broker.

    You can copy the cluster configuration to each additional broker. However, do not copy any of the other AMQ Broker data files (such as the bindings, journal, and large messages directories). These files must be unique among the nodes in the cluster or the cluster will not form properly.

Additional resources

14.2.3. Creating a broker cluster with JGroups-based dynamic discovery

If you are already using JGroups in your environment, you can use it to create a broker cluster in which the brokers discover each other dynamically.

Prerequisites

Procedure

  1. Open the <broker_instance_dir>/etc/broker.xml configuration file.

  2. Within the <core> element, add a connector.

    This connector defines connection information that other brokers can use to connect to this one. This information will be sent to other brokers in the cluster during discovery. 

    <configuration>
    <core>
        ...
        <connectors>
            <connector name="netty-connector">tcp://localhost:61617</connector>
        </connectors>
        ...
    </core>
</configuration>

  3. Within the <core> element, add a JGroups broadcast group.

    The broadcast group enables the broker to push information about its cluster connection to the other brokers in the cluster. This broadcast group uses JGroups to broadcast the connection settings: 

    <configuration>
    <core>
        ...
        <broadcast-groups>
            <broadcast-group name="my-broadcast-group">
                <jgroups-file>test-jgroups-file_ping.xml</jgroups-file>
                <jgroups-channel>activemq_broadcast_channel</jgroups-channel>
                <broadcast-period>2000</broadcast-period>
                <connector-ref>netty-connector</connector-ref>
            </broadcast-group>
        </broadcast-groups>
        ...
    </core>
</configuration>

    The following parameters are required unless otherwise noted:

    broadcast-group
    Use the name attribute to specify a unique name for the broadcast group.
    jgroups-file
    The name of JGroups configuration file to initialize JGroups channels. The file must be in the Java resource path so that the broker can load it.
    jgroups-channel
    The name of the JGroups channel to connect to for broadcasting.
    broadcast-period (optional)
    The interval, in milliseconds, between consecutive broadcasts. The default value is 2000 milliseconds.
    connector-ref
    The previously configured cluster connector that should be broadcasted.

  4. Add a JGroups discovery group.

    The discovery group defines how connector information is received. The broker maintains a list of connectors (one entry for each broker). As it receives broadcasts from a broker, it updates its entry. If it does not receive a broadcast from a broker for a length of time, it removes the entry.

    This discovery group uses JGroups to discover the brokers in the cluster: 

    <configuration>
    <core>
        ...
        <discovery-groups>
            <discovery-group name="my-discovery-group">
                <jgroups-file>test-jgroups-file_ping.xml</jgroups-file>
                <jgroups-channel>activemq_broadcast_channel</jgroups-channel>
                <refresh-timeout>10000</refresh-timeout>
            </discovery-group>
        <discovery-groups>
        ...
    </core>
</configuration>

    The following parameters are required unless otherwise noted:

    discovery-group
    Use the name attribute to specify a unique name for the discovery group.
    jgroups-file
    The name of JGroups configuration file to initialize JGroups channels. The file must be in the Java resource path so that the broker can load it.
    jgroups-channel
    The name of the JGroups channel to connect to for receiving broadcasts.
    refresh-timeout (optional)

    The amount of time in milliseconds that the discovery group waits after receiving the last broadcast from a particular broker before removing that broker’s connector pair entry from its list. The default is 10000 milliseconds (10 seconds).

    Set this to a much higher value than the broadcast-period on the broadcast group. Otherwise, brokers might periodically disappear from the list even though they are still broadcasting (due to slight differences in timing).

  5. Create a cluster connection and configure it to use dynamic discovery.

    By default, the cluster connection will load balance messages for all addresses in a symmetric topology. 

    <configuration>
    <core>
        ...
        <cluster-connections>
            <cluster-connection name="my-cluster">
                <connector-ref>netty-connector</connector-ref>
                <discovery-group-ref discovery-group-name="my-discovery-group"/>
            </cluster-connection>
        </cluster-connections>
        ...
    </core>
</configuration>
    cluster-connection
    Use the name attribute to specify the name of the cluster connection.
    connector-ref
    The connector that defines how other brokers can connect to this one.
    discovery-group-ref
    The discovery group that this broker should use to locate other members of the cluster. You only need to configure this property if the cluster uses dynamic discovery.

  6. Configure any additional properties for the cluster connection.

    These additional cluster connection properties have default values that are suitable for most common use cases. Therefore, you only need to configure these properties if you do not want the default behavior. For more information, see Appendix C, Cluster Connection Configuration Elements.

  7. Create the cluster user and password.

    AMQ Broker ships with default cluster credentials, but you should change them to prevent unauthorized remote clients from using these default credentials to connect to the broker.

    Important

    The cluster password must be the same on every broker in the cluster. 

    <configuration>
    <core>
        ...
        <cluster-user>cluster_user</cluster-user>
        <cluster-password>cluster_user_password</cluster-password>
        ...
    </core>
</configuration>

  8. Repeat this procedure on each additional broker.

    You can copy the cluster configuration to each additional broker. However, do not copy any of the other AMQ Broker data files (such as the bindings, journal, and large messages directories). These files must be unique among the nodes in the cluster or the cluster will not form properly.

Additional resources

14.3. Implementing high availability

You can improve its reliability by implementing high availability (HA), enabling the broker cluster continue to function even if one or more brokers go offline.

Implementing HA involves several steps:

  1. Configure a broker cluster for your HA implementation as described in Section 14.2, “Creating a broker cluster”.
  2. You should understand what live-backup groups are, and choose an HA policy that best meets your requirements. See Understanding how HA works in AMQ Broker.

  3. When you have chosen a suitable HA policy, configure the HA policy on each broker in the cluster. See:

  4. Configure your client applications to use failover.
Note

In the later event that you need to troubleshoot a broker cluster configured for high availability, it is recommended that you enable Garbage Collection (GC) logging for each Java Virtual Machine (JVM) instance that is running a broker in the cluster. To learn how to enable GC logs on your JVM, consult the official documentation for the Java Development Kit (JDK) version used by your JVM. For more information on the JVM versions that AMQ Broker supports, see Red Hat AMQ 7 Supported Configurations.

14.3.1. Understanding high availability

In AMQ Broker, you implement high availability (HA) by grouping the brokers in the cluster into live-backup groups. In a live-backup group, a live broker is linked to a backup broker, which can take over for the live broker if it fails. AMQ Broker also provides several different strategies for failover (called HA policies) within a live-backup group.

14.3.1.1. How live-backup groups provide high availability

In AMQ Broker, you implement high availability (HA) by linking together the brokers in your cluster to form live-backup groups. Live-backup groups provide failover, which means that if one broker fails, another broker can take over its message processing.

A live-backup group consists of one live broker (sometimes called the master broker) linked to one or more backup brokers (sometimes called slave brokers). The live broker serves client requests, while the backup brokers wait in passive mode. If the live broker fails, a backup broker replaces the live broker, enabling the clients to reconnect and continue their work.

14.3.1.2. High availability policies

A high availability (HA) policy defines how failover happens in a live-backup group. AMQ Broker provides several different HA policies:

Shared store (recommended)

The live and backup brokers store their messaging data in a common directory on a shared file system; typically a Storage Area Network (SAN) or Network File System (NFS) server. You can also store broker data in a specified database if you have configured JDBC-based persistence. With shared store, if a live broker fails, the backup broker loads the message data from the shared store and takes over for the failed live broker.

In most cases, you should use shared store instead of replication. Because shared store does not replicate data over the network, it typically provides better performance than replication. Shared store also avoids network isolation (also called "split brain") issues in which a live broker and its backup become live at the same time.

In the shared store HA policy the live and backup brokers both access the journal from a shared location.
Replication

The live and backup brokers continuously synchronize their messaging data over the network. If the live broker fails, the backup broker loads the synchronized data and takes over for the failed live broker.

Data synchronization between the live and backup brokers ensures that no messaging data is lost if the live broker fails. When the live and backup brokers initially join together, the live broker replicates all of its existing data to the backup broker over the network. Once this initial phase is complete, the live broker replicates persistent data to the backup broker as the live broker receives it. This means that if the live broker drops off the network, the backup broker has all of the persistent data that the live broker has received up to that point.

Because replication synchronizes data over the network, network failures can result in network isolation in which a live broker and its backup become live at the same time.

In the replication HA policy the live and backup brokers synchronize their journal with each other over the network.
Live-only (limited HA)

When a live broker is stopped gracefully, it copies its messages and transaction state to another live broker and then shuts down. Clients can then reconnect to the other broker to continue sending and receiving messages.

In the live-only HA policy the broker copies its messages and transaction state to another broker.

Additional resources

14.3.1.3. Replication policy limitations

Network isolation (sometimes called "split brain") is a limitation of the replication high availability (HA) policy. You should understand how it occurs, and how to avoid it.

Network isolation can happen if a live broker and its backup lose their connection. In this situation, both a live broker and its backup can become active at the same time. Specifically, if the backup broker can still connect to more than half of the live brokers in the cluster, it also becomes active. Because there is no message replication between the brokers in this situation, they each serve clients and process messages without the other knowing it. In this case, each broker has a completely different journal. Recovering from this situation can be very difficult and in some cases, not possible.

To avoid network isolation, consider the following:

  • To eliminate any possibility of network isolation, use the shared store HA policy.

  • If you do use the replication HA policy, you can reduce (but not eliminate) the chance of encountering network isolation by using at least three live-backup pairs.

    Using at least three live-backup pairs ensures that a majority result can be achieved in any quorum vote that takes place when a live-backup broker pair experiences a replication interruption.

Some additional considerations when you use the replication HA policy are described below:

  • When a live broker fails and the backup transitions to live, no further replication takes place until a new backup broker is attached to the live, or failback to the original live broker occurs.
  • If the backup broker in a live-backup group fails, the live broker continues to serve messages. However, messages are not replicated until another broker is added as a backup, or the original backup broker is restarted. During that time, messages are persisted only to the live broker.
  • Suppose that both brokers in a live-backup pair were previously shut down, but are now available to be restarted. In this case, to avoid message loss, you need to restart the most recently active broker first. If the most recently active broker was the backup broker, you need to manually reconfigure this broker as a master broker to enable it to be restarted first.

14.3.2. Configuring shared store high availability

You can use the shared store high availability (HA) policy to implement HA in a broker cluster. With shared store, both live and backup brokers access a common directory on a shared file system; typically a Storage Area Network (SAN) or Network File System (NFS) server. You can also store broker data in a specified database if you have configured JDBC-based persistence. With shared store, if a live broker fails, the backup broker loads the message data from the shared store and takes over for the failed live broker.

In general, a SAN offers better performance (for example, speed) versus an NFS server, and is the recommended option, if available. If you need to use an NFS server, see Red Hat AMQ 7 Supported Configurations for more information about network file systems that AMQ Broker supports.

In most cases, you should use shared store HA instead of replication. Because shared store does not replicate data over the network, it typically provides better performance than replication. Shared store also avoids network isolation (also called "split brain") issues in which a live broker and its backup become live at the same time.

Note

When using shared store, the startup time for the backup broker depends on the size of the message journal. When the backup broker takes over for a failed live broker, it loads the journal from the shared store. This process can be time consuming if the journal contains a lot of data.

14.3.2.1. Configuring an NFS shared store

When using shared store high availability, you must configure both the live and backup brokers to use a common directory on a shared file system. Typically, you use a Storage Area Network (SAN) or Network File System (NFS) server.

Listed below are some recommended configuration options when mounting an exported directory from an NFS server on each of your broker machine instances.

sync
Specifies that all changes are immediately flushed to disk.
intr
Allows NFS requests to be interrupted if the server is shut down or cannot be reached.
noac
Disables attribute caching. This behavior is needed to achieve attribute cache coherence among multiple clients.
soft
Specifies that if the NFS server is unavailable, the error should be reported rather than waiting for the server to come back online.
lookupcache=none
Disables lookup caching.
timeo=n
The time, in deciseconds (tenths of a second), that the NFS client (that is, the broker) waits for a response from the NFS server before it retries a request. For NFS over TCP, the default timeo value is 600 (60 seconds). For NFS over UDP, the client uses an adaptive algorithm to estimate an appropriate timeout value for frequently used request types, such as read and write requests.
retrans=n
The number of times that the NFS client retries a request before it attempts further recovery action. If the retrans option is not specified, the NFS client tries each request three times.
Important

It is important to use reasonable values when you configure the timeo and retrans options. A default timeo wait time of 600 deciseconds (60 seconds) combined with a retrans value of 5 retries can result in a five-minute wait for AMQ Broker to detect an NFS disconnection.

Additional resources

14.3.2.2. Configuring shared store high availability

This procedure shows how to configure shared store high availability for a broker cluster.

Prerequisites

  • A shared storage system must be accessible to the live and backup brokers.

Procedure

  1. Group the brokers in your cluster into live-backup groups.

    In most cases, a live-backup group should consist of two brokers: a live broker and a backup broker. If you have six brokers in your cluster, you would need three live-backup groups.

  2. Create the first live-backup group consisting of one live broker and one backup broker.

    1. Open the live broker’s <broker_instance_dir>/etc/broker.xml configuration file.

    2. If you are using:

      1. A network file system to provide the shared store, verify that the live broker’s paging, bindings, journal, and large messages directories point to a shared location that the backup broker can also access. 

        <configuration>
    <core>
        ...
        <paging-directory>../sharedstore/data/paging</paging-directory>
        <bindings-directory>../sharedstore/data/bindings</bindings-directory>
        <journal-directory>../sharedstore/data/journal</journal-directory>
        <large-messages-directory>../sharedstore/data/large-messages</large-messages-directory>
        ...
    </core>
</configuration>

      2. A database to provide the shared store, ensure that both the master and backup broker can connect to the same database and have the same configuration specified in the database-store element of the broker.xml configuration file. An example configuration is shown below. 

        <configuration>
  <core>
    <store>
       <database-store>
          <jdbc-connection-url>jdbc:oracle:data/oracle/database-store;create=true</jdbc-connection-url>
          <jdbc-user>ENC(5493dd76567ee5ec269d11823973462f)</jdbc-user>
          <jdbc-password>ENC(56a0db3b71043054269d11823973462f)</jdbc-password>
          <bindings-table-name>BINDINGS_TABLE</bindings-table-name>
          <message-table-name>MESSAGE_TABLE</message-table-name>
          <large-message-table-name>LARGE_MESSAGES_TABLE</large-message-table-name>
          <page-store-table-name>PAGE_STORE_TABLE</page-store-table-name>
          <node-manager-store-table-name>NODE_MANAGER_TABLE<node-manager-store-table-name>
          <jdbc-driver-class-name>oracle.jdbc.driver.OracleDriver</jdbc-driver-class-name>
          <jdbc-network-timeout>10000</jdbc-network-timeout>
          <jdbc-lock-renew-period>2000</jdbc-lock-renew-period>
          <jdbc-lock-expiration>15000</jdbc-lock-expiration>
          <jdbc-journal-sync-period>5</jdbc-journal-sync-period>
       </database-store>
    </store>
  </core>
</configuration>

    3. Configure the live broker to use shared store for its HA policy. 

      <configuration>
    <core>
        ...
        <ha-policy>
            <shared-store>
                <master>
                    <failover-on-shutdown>true</failover-on-shutdown>
                </master>
            </shared-store>
        </ha-policy>
        ...
    </core>
</configuration>
      failover-on-shutdown
      If this broker is stopped normally, this property controls whether the backup broker should become live and take over.
    4. Open the backup broker’s <broker_instance_dir>/etc/broker.xml configuration file.

    5. If you are using:

      1. A network file system to provide the shared store, verify that the backup broker’s paging, bindings, journal, and large messages directories point to the same shared location as the live broker. 

        <configuration>
    <core>
        ...
        <paging-directory>../sharedstore/data/paging</paging-directory>
        <bindings-directory>../sharedstore/data/bindings</bindings-directory>
        <journal-directory>../sharedstore/data/journal</journal-directory>
        <large-messages-directory>../sharedstore/data/large-messages</large-messages-directory>
        ...
    </core>
</configuration>
      2. A database to provide the shared store, ensure that both the master and backup brokers can connect to the same database and have the same configuration specified in the database-store element of the broker.xml configuration file.

    6. Configure the backup broker to use shared store for its HA policy. 

      <configuration>
    <core>
        ...
        <ha-policy>
            <shared-store>
                <slave>
                    <failover-on-shutdown>true</failover-on-shutdown>
                    <allow-failback>true</allow-failback>
                    <restart-backup>true</restart-backup>
                </slave>
            </shared-store>
        </ha-policy>
        ...
    </core>
</configuration>
      failover-on-shutdown
      If this broker has become live and then is stopped normally, this property controls whether the backup broker (the original live broker) should become live and take over.
      allow-failback

      If failover has occurred and the backup broker has taken over for the live broker, this property controls whether the backup broker should fail back to the original live broker when it restarts and reconnects to the cluster.

      Note

      Failback is intended for a live-backup pair (one live broker paired with a single backup broker). If the live broker is configured with multiple backups, then failback will not occur. Instead, if a failover event occurs, the backup broker will become live, and the next backup will become its backup. When the original live broker comes back online, it will not be able to initiate failback, because the broker that is now live already has a backup.

      restart-backup
      This property controls whether the backup broker automatically restarts after it fails back to the live broker. The default value of this property is true.
  3. Repeat Step 2 for each remaining live-backup group in the cluster.

14.3.3. Configuring replication high availability

You can use the replication high availability (HA) policy to implement HA in a broker cluster. With replication, persistent data is synchronized between the live and backup brokers. If a live broker encounters a failure, message data is synchronized to the backup broker and it takes over for the failed live broker.

You should use replication as an alternative to shared store, if you do not have a shared file system. However, replication can result in network isolation in which a live broker and its backup become live at the same time.

Replication requires at least three live-backup pairs to lessen (but not eliminate) the risk of network isolation. Using at least three live-backup broker pairs enables your cluster to use quorum voting to avoid having two live brokers.

The sections that follow explain how quorum voting works and how to configure replication HA for a broker cluster with at least three live-backup pairs.

Note

Because the live and backup brokers must synchronize their messaging data over the network, replication adds a performance overhead. This synchronization process blocks journal operations, but it does not block clients. You can configure the maximum amount of time that journal operations can be blocked for data synchronization.

14.3.3.1. About quorum voting

In the event that a live broker and its backup experience an interrupted replication connection, you can configure a process called quorum voting to mitigate against network isolation (or "split brain") issues. During network isolation, a live broker and its backup can become active at the same time.

The following table describes the two types of quorum voting that AMQ Broker uses.

Vote typeDescriptionInitiatorRequired configurationParticipantsAction based on vote result

Backup vote

If a backup broker loses its replication connection to the live broker, the backup broker decides whether or not to start based on the result of this vote.

Backup broker

None. A backup vote happens automatically when a backup broker loses connection to its replication partner.

However, you can control the properties of a backup vote by specifying custom values for these parameters:

  • quorum-vote-wait
  • vote-retries
  • vote-retry-wait

Other live brokers in the cluster

The backup broker starts if it receives a majority (that is, a quorum) vote from the other live brokers in the cluster, indicating that its replication partner is no longer available.

Live vote

If a live broker loses connection to its replication partner, the live broker decides whether to continue running based on this vote.

Live broker

A live vote happens when a live broker loses connection to its replication partner and vote-on-replication-failure is set to true. A backup broker that has become active is considered a live broker, and can initiate a live vote.

Other live brokers in the cluster

The live broker shuts down if it doesn’t receive a majority vote from the other live brokers in the cluster, indicating that its cluster connection is still active.

Important

Listed below are some important things to note about how the configuration of your broker cluster affects the behavior of quorum voting.

  • For a quorum vote to succeed, the size of your cluster must allow a majority result to be achieved. Therefore, when you use the replication HA policy, your cluster should have at least three live-backup broker pairs.
  • The more live-backup broker pairs that you add to your cluster, the more you increase the overall fault tolerance of the cluster. For example, suppose you have three live-backup pairs. If you lose a complete live-backup pair, the two remaining live-backup pairs cannot achieve a majority result in any subsequent quorum vote. This situation means that any further replication interruption in the cluster might cause a live broker to shut down, and prevent its backup broker from starting up. By configuring your cluster with, say, five broker pairs, the cluster can experience at least two failures, while still ensuring a majority result from any quorum vote.
  • If you intentionally reduce the number of live-backup broker pairs in your cluster, the previously established threshold for a majority vote does not automatically decrease. During this time, any quorum vote triggered by a lost replication connection cannot succeed, making your cluster more vulnerable to network isolation. To make your cluster recalculate the majority threshold for a quorum vote, first shut down the live-backup pairs that you are removing from your cluster. Then, restart the remaining live-backup pairs in the cluster. When all of the remaining brokers have been restarted, the cluster recalculates the quorum vote threshold.

14.3.3.2. Configuring a broker cluster for replication high availability

The following procedure describes how to configure replication high-availability (HA) for a six-broker cluster. In this topology, the six brokers are grouped into three live-backup pairs: each of the three live brokers is paired with a dedicated backup broker.

Replication requires at least three live-backup pairs to lessen (but not eliminate) the risk of network isolation.

Prerequisites

  • You must have a broker cluster with at least six brokers.

    The six brokers are configured into three live-backup pairs. For more information about adding brokers to a cluster, see Chapter 14, Setting up a broker cluster.

Procedure

  1. Group the brokers in your cluster into live-backup groups.

    In most cases, a live-backup group should consist of two brokers: a live broker and a backup broker. If you have six brokers in your cluster, you need three live-backup groups.

  2. Create the first live-backup group consisting of one live broker and one backup broker.

    1. Open the live broker’s <broker_instance_dir>/etc/broker.xml configuration file.

    2. Configure the live broker to use replication for its HA policy. 

      <configuration>
    <core>
        ...
        <ha-policy>
            <replication>
                <master>
                    <check-for-live-server>true</check-for-live-server>
                    <group-name>my-group-1</group-name>
                    <vote-on-replication-failure>true</vote-on-replication-failure>
                    ...
                </master>
            </replication>
        </ha-policy>
        ...
    </core>
</configuration>
      check-for-live-server

      If the live broker fails, this property controls whether clients should fail back to it when it restarts.

      If you set this property to true, when the live broker restarts after a previous failover, it searches for another broker in the cluster with the same node ID. If the live broker finds another broker with the same node ID, this indicates that a backup broker successfully started upon failure of the live broker. In this case, the live broker synchronizes its data with the backup broker. The live broker then requests the backup broker to shut down. If the backup broker is configured for failback, as shown below, it shuts down. The live broker then resumes its active role, and clients reconnect to it.

      Warning

      If you do not set check-for-live-server to true on the live broker, you might experience duplicate messaging handling when you restart the live broker after a previous failover. Specifically, if you restart a live broker with this property set to false, the live broker does not synchronize data with its backup broker. In this case, the live broker might process the same messages that the backup broker has already handled, causing duplicates.

      group-name
      A name for this live-backup group. To form a live-backup group, the live and backup brokers must be configured with the same group name.
      vote-on-replication-failure

      This property controls whether a live broker initiates a quorum vote called a live vote in the event of an interrupted replication connection.

      A live vote is a way for a live broker to determine whether it or its partner is the cause of the interrupted replication connection. Based on the result of the vote, the live broker either stays running or shuts down.

      Important

      For a quorum vote to succeed, the size of your cluster must allow a majority result to be achieved. Therefore, when you use the replication HA policy, your cluster should have at least three live-backup broker pairs.

      The more broker pairs you configure in your cluster, the more you increase the overall fault tolerance of the cluster. For example, suppose you have three live-backup broker pairs. If you lose connection to a complete live-backup pair, the two remaining live-backup pairs can no longer achieve a majority result in a quorum vote. This situation means that any subsequent replication interruption might cause a live broker to shut down, and prevent its backup broker from starting up. By configuring your cluster with, say, five broker pairs, the cluster can experience at least two failures, while still ensuring a majority result from any quorum vote.

    3. Configure any additional HA properties for the live broker.

      These additional HA properties have default values that are suitable for most common use cases. Therefore, you only need to configure these properties if you do not want the default behavior. For more information, see Appendix F, Replication High Availability Configuration Elements.

    4. Open the backup broker’s <broker_instance_dir>/etc/broker.xml configuration file.

    5. Configure the backup (that is, slave) broker to use replication for its HA policy. 

      <configuration>
    <core>
        ...
        <ha-policy>
            <replication>
                <slave>
                    <allow-failback>true</allow-failback>
                    <restart-backup>true</restart-backup>
                    <group-name>my-group-1</group-name>
                    <vote-on-replication-failure>true</vote-on-replication-failure>
                    ...
                </slave>
            </replication>
        </ha-policy>
        ...
    </core>
</configuration>
      allow-failback

      If failover has occurred and the backup broker has taken over for the live broker, this property controls whether the backup broker should fail back to the original live broker when it restarts and reconnects to the cluster.

      Note

      Failback is intended for a live-backup pair (one live broker paired with a single backup broker). If the live broker is configured with multiple backups, then failback will not occur. Instead, if a failover event occurs, the backup broker will become live, and the next backup will become its backup. When the original live broker comes back online, it will not be able to initiate failback, because the broker that is now live already has a backup.

      restart-backup
      This property controls whether the backup broker automatically restarts after it fails back to the live broker. The default value of this property is true.
      group-name
      The group name of the live broker to which this backup should connect. A backup broker connects only to a live broker that shares the same group name.
      vote-on-replication-failure

      This property controls whether a live broker initiates a quorum vote called a live vote in the event of an interrupted replication connection. A backup broker that has become active is considered a live broker and can initiate a live vote.

      A live vote is a way for a live broker to determine whether it or its partner is the cause of the interrupted replication connection. Based on the result of the vote, the live broker either stays running or shuts down.

    6. (Optional) Configure properties of the quorum votes that the backup broker initiates. 

      <configuration>
    <core>
        ...
        <ha-policy>
            <replication>
                <slave>
                ...
                    <vote-retries>12</vote-retries>
                    <vote-retry-wait>5000</vote-retry-wait>
                ...
                </slave>
            </replication>
        </ha-policy>
        ...
    </core>
</configuration>
      vote-retries
      This property controls how many times the backup broker retries the quorum vote in order to receive a majority result that allows the backup broker to start up.
      vote-retry-wait
      This property controls how long, in milliseconds, that the backup broker waits between each retry of the quorum vote.

    7. Configure any additional HA properties for the backup broker.

      These additional HA properties have default values that are suitable for most common use cases. Therefore, you only need to configure these properties if you do not want the default behavior. For more information, see Appendix F, Replication High Availability Configuration Elements.

  3. Repeat step 2 for each additional live-backup group in the cluster.

    If there are six brokers in the cluster, repeat this procedure two more times; once for each remaining live-backup group.

Additional resources

14.3.4. Configuring limited high availability with live-only

The live-only HA policy enables you to shut down a broker in a cluster without losing any messages. With live-only, when a live broker is stopped gracefully, it copies its messages and transaction state to another live broker and then shuts down. Clients can then reconnect to the other broker to continue sending and receiving messages.

The live-only HA policy only handles cases when the broker is stopped gracefully. It does not handle unexpected broker failures.

While live-only HA prevents message loss, it may not preserve message order. If a broker configured with live-only HA is stopped, its messages will be appended to the ends of the queues of another broker.

Note

When a broker is preparing to scale down, it sends a message to its clients before they are disconnected informing them which new broker is ready to process their messages. However, clients should reconnect to the new broker only after their initial broker has finished scaling down. This ensures that any state, such as queues or transactions, is available on the other broker when the client reconnects. The normal reconnect settings apply when the client is reconnecting, so you should set these high enough to deal with the time needed to scale down.

This procedure describes how to configure each broker in the cluster to scale down. After completing this procedure, whenever a broker is stopped gracefully, it will copy its messages and transaction state to another broker in the cluster.

Procedure

  1. Open the first broker’s <broker_instance_dir>/etc/broker.xml configuration file.

  2. Configure the broker to use the live-only HA policy. 

    <configuration>
    <core>
        ...
        <ha-policy>
            <live-only>
            </live-only>
        </ha-policy>
        ...
    </core>
</configuration>

  3. Configure a method for scaling down the broker cluster.

    Specify the broker or group of brokers to which this broker should scale down.

    To scale down to…​Do this…​

    A specific broker in the cluster

    Specify the connector of the broker to which you want to scale down. 

    <live-only>
    <scale-down>
        <connectors>
            <connector-ref>broker1-connector</connector-ref>
        </connectors>
    </scale-down>
</live-only>

    Any broker in the cluster

    Specify the broker cluster’s discovery group. 

    <live-only>
    <scale-down>
        <discovery-group-ref discovery-group-name="my-discovery-group"/>
    </scale-down>
</live-only>

    A broker in a particular broker group

    Specify a broker group. 

    <live-only>
    <scale-down>
        <group-name>my-group-name</group-name>
    </scale-down>
</live-only>
  4. Repeat this procedure for each remaining broker in the cluster.

Additional resources

14.3.5. Configuring high availability with colocated backups

Rather than configure live-backup groups, you can colocate backup brokers in the same JVM as another live broker. In this configuration, each live broker is configured to request another live broker to create and start a backup broker in its JVM.

Figure 14.4. Colocated live and backup brokers

HA Colocated

You can use colocation with either shared store or replication as the high availability (HA) policy. The new backup broker inherits its configuration from the live broker that creates it. The name of the backup is set to colocated_backup_n where n is the number of backups the live broker has created.

In addition, the backup broker inherits the configuration for its connectors and acceptors from the live broker that creates it. By default, port offset of 100 is applied to each. For example, if the live broker has an acceptor for port 61616, the first backup broker created will use port 61716, the second backup will use 61816, and so on.

Directories for the journal, large messages, and paging are set according to the HA policy you choose. If you choose shared store, the requesting broker notifies the target broker which directories to use. If replication is chosen, directories are inherited from the creating broker and have the new backup’s name appended to them.

This procedure configures each broker in the cluster to use shared store HA, and to request a backup to be created and colocated with another broker in the cluster.

Procedure

  1. Open the first broker’s <broker_instance_dir>/etc/broker.xml configuration file.

  2. Configure the broker to use an HA policy and colocation.

    In this example, the broker is configured with shared store HA and colocation. 

    <configuration>
    <core>
        ...
        <ha-policy>
            <shared-store>
                <colocated>
                    <request-backup>true</request-backup>
                    <max-backups>1</max-backups>
                    <backup-request-retries>-1</backup-request-retries>
                    <backup-request-retry-interval>5000</backup-request-retry-interval/>
                    <backup-port-offset>150</backup-port-offset>
                    <excludes>
                        <connector-ref>remote-connector</connector-ref>
                    </excludes>
                    <master>
                        <failover-on-shutdown>true</failover-on-shutdown>
                    </master>
                    <slave>
                        <failover-on-shutdown>true</failover-on-shutdown>
                        <allow-failback>true</allow-failback>
                        <restart-backup>true</restart-backup>
                    </slave>
                </colocated>
            </shared-store>
        </ha-policy>
        ...
    </core>
</configuration>
    request-backup
    By setting this property to true, this broker will request a backup broker to be created by another live broker in the cluster.
    max-backups
    The number of backup brokers that this broker can create. If you set this property to 0, this broker will not accept backup requests from other brokers in the cluster.
    backup-request-retries
    The number of times this broker should try to request a backup broker to be created. The default is -1, which means unlimited tries.
    backup-request-retry-interval
    The amount of time in milliseconds that the broker should wait before retrying a request to create a backup broker. The default is 5000, or 5 seconds.
    backup-port-offset
    The port offset to use for the acceptors and connectors for a new backup broker. If this broker receives a request to create a backup for another broker in the cluster, it will create the backup broker with the ports offset by this amount. The default is 100.
    excludes (optional)
    Excludes connectors from the backup port offset. If you have configured any connectors for external brokers that should be excluded from the backup port offset, add a <connector-ref> for each of the connectors.
    master
    The shared store or replication failover configuration for this broker.
    slave
    The shared store or replication failover configuration for this broker’s backup.
  3. Repeat this procedure for each remaining broker in the cluster.

Additional resources

14.3.6. Configuring clients to fail over

After configuring high availability in a broker cluster, you configure your clients to fail over. Client failover ensures that if a broker fails, the clients connected to it can reconnect to another broker in the cluster with minimal downtime.

Note

In the event of transient network problems, AMQ Broker automatically reattaches connections to the same broker. This is similar to failover, except that the client reconnects to the same broker.

You can configure two different types of client failover:

Automatic client failover
The client receives information about the broker cluster when it first connects. If the broker to which it is connected fails, the client automatically reconnects to the broker’s backup, and the backup broker re-creates any sessions and consumers that existed on each connection before failover.
Application-level client failover
As an alternative to automatic client failover, you can instead code your client applications with your own custom reconnection logic in a failure handler.

Procedure

14.4. Enabling message redistribution

If your broker cluster is configured with message-load-balancing set to ON_DEMAND or OFF_WITH_REDISTRIBUTION, you can configure message redistribution to prevent messages from being "stuck" in a queue that does not have a consumer to consume the messages.

This section contains information about:

14.4.1. Understanding message redistribution

Broker clusters use load balancing to distribute the message load across the cluster. When configuring load balancing in the cluster connection, you can enable redistribution using the following message-load-balancing settings:

  • ON_DEMAND - enable load balancing and allow redistribution
  • OFF_WITH_REDISTRIBUTION - disable load balancing but allow redistribution

In both cases, the broker forwards messages only to other brokers that have matching consumers. This behavior ensures that messages are not moved to queues that do not have any consumers to consume the messages. However, if the consumers attached to a queue close after the messages are forwarded to the broker, those messages become "stuck" in the queue and are not consumed. This issue is sometimes called starvation.

Message redistribution prevents starvation by automatically redistributing the messages from queues that have no consumers to brokers in the cluster that do have matching consumers.

With OFF_WITH_REDISTRIBUTION, the broker only forwards messages to other brokers that have matching consumers if there are no active local consumers, enabling you to prioritize a broker while providing an alternative when consumers are not available.

Message redistribution supports the use of filters (also know as selectors), that is, messages are redistributed when they do not match the selectors of the available local consumers.

Additional resources

14.4.2. Configuring message redistribution

This procedure shows how to configure message redistribution with load balancing. If you want message redistribution without load balancing, set <message-load-balancing> is set to OFF_WITH_REDISTRIBUTION.

Procedure

  1. Open the <broker_instance_dir>/etc/broker.xml configuration file.

  2. In the <cluster-connection> element, verify that <message-load-balancing> is set to ON_DEMAND. 

    <configuration>
    <core>
        ...
        <cluster-connections>
            <cluster-connection name="my-cluster">
                ...
                <message-load-balancing>ON_DEMAND</message-load-balancing>
                ...
            </cluster-connection>
        </cluster-connections>
    </core>
</configuration>

  3. Within the <address-settings> element, set the redistribution delay for a queue or set of queues.

    In this example, messages load balanced to my.queue will be redistributed 5000 milliseconds after the last consumer closes. 

    <configuration>
    <core>
        ...
        <address-settings>
            <address-setting match="my.queue">
                <redistribution-delay>5000</redistribution-delay>
            </address-setting>
        </address-settings>
        ...
    </core>
</configuration>
    address-setting
    Set the match attribute to be the name of the queue for which you want messages to be redistributed. You can use the broker wildcard syntax to specify a range of queues. For more information, see Section 4.2, “Applying address settings to sets of addresses”.
    redistribution-delay
    The amount of time (in milliseconds) that the broker should wait after this queue’s final consumer closes before redistributing messages to other brokers in the cluster. If you set this to 0, messages will be redistributed immediately. However, you should typically set a delay before redistributing - it is common for a consumer to close but another one to be quickly created on the same queue.
  4. Repeat this procedure for each additional broker in the cluster.

Additional resources

14.5. Configuring clustered message grouping

Message grouping enables clients to send groups of messages of a particular type to be processed serially by the same consumer. By adding a grouping handler to each broker in the cluster, you ensure that clients can send grouped messages to any broker in the cluster and still have those messages consumed in the correct order by the same consumer.

Note

Clustering provides parallelism, enabling you to scale horizontally, whereas grouping provides a serialization technique to direct grouped messages to specific consumers.

Red Hat recommends that you use either clustering or grouping, and avoid using clustering and grouping together.

There are two types of grouping handlers: local handlers and remote handlers. They enable the broker cluster to route all of the messages in a particular group to the appropriate queue so that the intended consumer can consume them in the correct order.

Prerequisites

  • There should be at least one consumer on each broker in the cluster.

    When a message is pinned to a consumer on a queue, all messages with the same group ID will be routed to that queue. If the consumer is removed, the queue will continue to receive the messages even if there are no consumers.

Procedure

  1. Configure a local handler on one broker in the cluster.

    If you are using high availability, this should be a master broker.

    1. Open the broker’s <broker_instance_dir>/etc/broker.xml configuration file.

    2. Within the <core> element, add a local handler:

      The local handler serves as an arbiter for the remote handlers. It stores route information and communicates it to the other brokers. 

      <configuration>
    <core>
        ...
        <grouping-handler name="my-grouping-handler">
            <type>LOCAL</type>
            <timeout>10000</timeout>
        </grouping-handler>
        ...
    </core>
</configuration>
      grouping-handler
      Use the name attribute to specify a unique name for the grouping handler.
      type
      Set this to LOCAL.
      timeout

      The amount of time to wait (in milliseconds) for a decision to be made about where to route the message. The default is 5000 milliseconds. If the timeout is reached before a routing decision is made, an exception is thrown, which ensures strict message ordering.

      When the broker receives a message with a group ID, it proposes a route to a queue to which the consumer is attached. If the route is accepted by the grouping handlers on the other brokers in the cluster, then the route is established: all brokers in the cluster will forward messages with this group ID to that queue. If the broker’s route proposal is rejected, then it proposes an alternate route, repeating the process until a route is accepted.

  2. If you are using high availability, copy the local handler configuration to the master broker’s slave broker.

    Copying the local handler configuration to the slave broker prevents a single point of failure for the local handler.

  3. On each remaining broker in the cluster, configure a remote handler.

    1. Open the broker’s <broker_instance_dir>/etc/broker.xml configuration file.

    2. Within the <core> element, add a remote handler: 

      <configuration>
    <core>
        ...
        <grouping-handler name="my-grouping-handler">
            <type>REMOTE</type>
            <timeout>5000</timeout>
        </grouping-handler>
        ...
    </core>
</configuration>
      grouping-handler
      Use the name attribute to specify a unique name for the grouping handler.
      type
      Set this to REMOTE.
      timeout
      The amount of time to wait (in milliseconds) for a decision to be made about where to route the message. The default is 5000 milliseconds. Set this value to at least half of the value of the local handler.

Additional resources

14.6. Connecting clients to a broker cluster

You can use the AMQ JMS clients to connect to the cluster. By using JMS, you can configure your messaging clients to discover the list of brokers dynamically or statically. You can also configure client-side load balancing to distribute the client sessions created from the connection across the cluster.

Procedure

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