Clustered Singleton
The Payara API provides a @Clustered
annotation that makes @ApplicationScoped
CDI beans or @Singleton
EJB beans cluster-wide. This allows a single bean to be shared across an entire cluster.
How It Works
The singleton bean is deployed and will be available to all members of the cluster. Prior to any call to this bean, its latest version will be retrieved from a Hazelcast map, which will be possibly updated after the call is finished. In order to avoid race conditions or data corruption, a Hazelcast distributed lock for the bean will be optionally acquired so that only one method call can be executed in the cluster at a time.
Examples
Examples can be found here: https://github.com/payara/Payara-Examples/tree/master/javaee/clustered-singleton
@Clustered
and EJB Timers
Persistent EJB Timers (which are the default) will work correctly with clustered singletons since they will only be executed in a single node of the cluster or deployment group.
If the purpose of a clustered singleton bean is to only define a persistent EJB timer which needs to be fired once per cluster or deployment group on a Payara Server domain, then it is better to use a stateless session bean instead. The default behaviour of Payara Server is to trigger expired persistence EJB timers once per deployment group or cluster, so the added redundancy provided by this feature is not necessary. |
@Clustered
and @Startup
/ @Initialized
@ApplicationScoped
Care must be taken in this scenario. By default, the @PostConstruct
lifecycle method is called for every instance in the cluster for these beans. This behavior needs to be disabled by using @Clustered(callPostConstructOnAttach = false)
and possibly callPreDestoyOnDetach = false
as well, so only the @PostConstcut
method will be called only once per cluster.
@Observed
@Initialzed
methods are called for every instance in the cluster. The only valid method for cluster-wide initialization is to use the @PostConstruct
lifecycle method configured as described above.
CDI Considerations and Notes
Since there are no default locks for CDI, @Clustered
CDI @ApplicationScoped
beans do not have distributed locks on by default.
It is highly recommended to enable distributed locks for CDI Clustered beans: @Clustered(lock = DistributedLockType.LOCK)
so there is no chance of race condition / data corruption for CDI Clustered beans.
Requirements and assumption
-
Hazelcast is required to be enabled (default on Payara 5)
-
@Clustered
only works with@ApplicationScoped
or@Singleton
annotation, and in no other circumstance -
All fields in the
@Clustered @Singleton
class need to be correctly Serializable -
Works correctly only if accessed via @Injected proxy, not through direct access
-
Works with EJB timers correctly only if all timers are persistent (default)
-
All method calls to
@Clustered
beans operate on a local instance -
Data corruption is possible if distributed lock is turned off and there is a race condition between method calls to the same bean on multiple cluster nodes simultaneously. In such a case, last method call wins the singleton state
-
Clustered singletons are stored in Hazelcast map under "Payara/(EJB/CDI)/singleton/<singletonComponentName>/[lock]"
It is also highly recommended to add a serialVersionUID variable to the @Clustered @Singleton class, in order to verify that a loaded class and the serialized object are compatible. A previously serialized entry in the Data Grid is compatible with an updated version of the same class.
|
private static final long serialVersionUID = 1234L;
Adding a serialVersionUID
is expected to prevent serialization issues encountered by the Data Grid if your singleton’s source code is updated regularly.
Usage
A singleton bean is made cluster-wide by annotating the class with the @fish.payara.cluster.Clustered
qualifier as well as it’s scope annotation.
Alternatively, you can use the glassfish-ejb-jar.xml
to configure a Singleton EJB to be cluster-wide.
Example
An example for a CDI bean:
@Clustered
@javax.enterprise.context.ApplicationScoped
public class ClusterSingletonBean implements Serializable {
}
An example for a Singleton EJB:
@Clustered
@javax.ejb.Singleton
public class ClusterSingletonBean implements Serializable {
}
An example for a Singleton EJB using glassfish-ejb.jar
(clustered-key-name
is optional):
<glassfish-ejb-jar>
<enterprise-beans>
<ejb>
<ejb-name>ClusteredSingleton</ejb-name>
<clustered-bean>true</clustered-bean>
<clustered-key-name>ClusteredSingleton</clustered-key-name>
</ejb>
</enterprise-beans>
</glassfish-ejb-jar>
Configuration
The @Clustered
annotation has several configuration options. They are detailed below.
Option | XML element | Description | Default |
---|---|---|---|
keyName |
clustered-key-name |
The key in the distributed map to bind the clustered object to. |
The name of the bean. If the bean is a CDI bean and has no assigned name, the bean class name will be used. |
lock |
clustered-lock-type |
The type of distributed locking to be performed.
For EJB beans, only |
|
callPostConstructOnAttach |
|
Whether to call |
|
callPreDestroyOnDetach |
|
Whether to call |
|
Distributed Locking
Clustered singleton beans allow a locking type, to specify how the distributed object is locked when being accessed by multiple instances.
The lock options are members of the class fish.payara.cluster.DistributedLockType
, which are as follows:
-
LOCK
- Distributed locking will be performed. -
LOCK_NONE
- No distributed locking will be performed. -
INHERIT
- The locking behaviour will be inherited from the inherited class.
By default, @Singleton
EJBs will use a distributed lock, and @ApplicationScoped
CDI beans won’t.
When a distributed object is locked, it will only be written by one thread across the entire cluster at any one time. Locks use system resources, but prevent synchronisation errors with the singleton data.
If a member holding a lock goes offline, the lock will become available again. |
Transactions
Transactions in a clustered singleton work the same way that they would work in EJB or CDI depending on which scope annotation you’re using. Transactions are not distributed through the whole cluster. When a transaction is created in a thread in one JVM, it must be handled and closed in the same thread; it cannot be passed onto a different server instance. Once the transaction is closed, the changes will be replicated to the rest of the cluster.