Blogs Embedded Cluster Listeners in Infinispan 7.0.0.Alpha1

Embedded Cluster Listeners in Infinispan 7.0.0.Alpha1

If you are following on the dev listing, you may have seen a design doc come through that details adding support for Clustered Listeners to Infinispan.  This features allows for listeners to be used in a distributed cache configuration.  I am happy to say that this feature is now in Infinispan 7.0.0.Alpha1 !

This feature is needed since local listeners in a distributed cache are only notified of events on the node where the data resides.  Therefore, clustered listeners allow for a single listener to receive any write notification (limited to CacheEntryCreatedEvent, CacheEntryModifiedEvent and CacheEntryRemovedEvent) that occurs in the cluster which is installed on 1 node.

Basic Example

Using a cluster listener is just as easy as a regular listener. Here is a simple use case that stores the events as it receives them.

That is all that is required is just to set the property of your Listener annotated class to say clustered = true. There are other important changes in the rest of the document. Please let us know how you like the new cluster listeners ! Also if any issues are found, it is much appreciated to log those to JIRA.

Differences between Local and Cluster Listeners

Pre and post Notifications

In a local cluster listener, the listener is notified twice, before the operation is completed and after the entry is updated.  A cluster listener is ONLY notified after the operation is completed while still holding locks.  Therefore, the isPre method always returns false in a cluster listener.

Transaction begin and completion

In a transactional cache, local listeners are notified when a transaction begins and when it is completed (either through rollback or commit).  A cluster listener is never notified of anything occurring until after the data has been updated, and thus will only ever be notified of committed entries and also will not receive TransactionRegisteredEvent or TransactionCompletedEvent events.

API Changes

There are a few new API classes that have been added to allow for configuration and operation of cluster listeners.

Listener annotation

The existing org.infinispan.notifications.Listener annotation has had a couple properties added to it.

The new clustered property defines whether or not this listener is a cluster listener or not.  This means the listener will be sent all write modification events.

A cluster listener is not supported in an Invalidation cache.  Local or replicated caches can use a cluster listener though.  They will behave like a local cluster listener, except that replicated will be less performant.

The includeCurrentState property is also new and will provide a way for a listener when being registered to immediately be sent a CacheCreatedEvent for every entry in the cache.  This will be supported for both local and cluster listeners.  In a local listener it will only query the local data that is available, so in the case of a Distributed cache this will still only provide a possible subset of data.  However a clustered listener will retrieve the data from all nodes as needed.  A cache will still be available for writes during the includeCurrentState period.  However the notifications will be queued until all state has been first sent. NOTE: includeCurrentState is currently not implemented but is planned during this release still see ISPN-4068


This is a new Filter class that can be used to filter events or other operations based on the key value and metadata of the updated object.


A converter is used to convert a given key, value, metadata entry to a resulting value. This is useful if your listener doesn’t require the entire value and need just a portion from it. Or if the listener were to do some sort of translation, this would allow it to scale to each node instead of having to run the translation all on the node where the listener is registered.


The cache interface also has an additional overloaded method to allow for registering the previously mentioned KeyValueFilter and Converter with the Listener provided.  Note that either type of listener, cluster or local, may be used with any of the overloaded addListener methods on the Cache interface.

This new method is similar to the other addListener methods, but is specially optimized for use with cluster listeners in distributed mode. Whenever a modification occurs which would cause an event to be sent to the cluster notifier the KeyValueFilter is first ran to see if this event should even be sent to the listener. If it is then the converter will be used to convert result into whatever data is desired to send back to the listener. These combined allow for reducing overall network traffic for events that you don’t want to get or reduce payload size by sending a different or subset of the value.


There are some cases in Infinispan when it is unclear if a notification was properly raised in a non transactional cache. Due to this we have made available an additional value on the CacheEntryCreatedEvent, CacheEntryModifiedEvent, and CacheEntryRemovedEvent. This is to symbolize that this event could have been possibly duplicated or even changed types (CacheEntryModifiedEvent instead of CacheEntryCreatedEvent).

This should only return true if we had a node who was an owner go down while in the middle of processing the write.

Functional Changes

CacheEntryModified during creates

Prior to Infinispan 7.0, whenever a new entry was created, this would generate both CacheEntryCreated and CacheEntryModified events.  This has been changed now so that only a CacheEntryCreated event is raised to more consistently model what has occurred.

Get it, Use it, Ask us!

We’re hard at work on new features, improvements and fixes, so watch this space for more announcements!

Please, download and test the latest release.

The source code is hosted on GitHub. If you need to report a bug or request a new feature, look for a similar one on our JIRA issues tracker. If you don’t find any, create a new issue.

If you have questions, are experiencing a bug or want advice on using Infinispan, you can use GitHub discussions. We will do our best to answer you as soon as we can.

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