Event Threading
Hazelcast uses a shared event system to deal with components that rely on events, such as topic, collections, listeners, and Near Cache.
Each cluster member has an array of event threads and each thread has its own work queue. When an event is produced, either locally or remotely, an event thread is selected (depending on if there is a message ordering) and the event is placed in the work queue for that event thread.
The following properties can be set to alter the behavior of the system.
hazelcast.event.thread.count: Number of event-threads in this array. Its default value is 5.hazelcast.event.queue.capacity: Capacity of the work queue. Its default value is 1000000.hazelcast.event.queue.timeout.millis: Timeout for placing an item on the work queue. Its default value is 250.
If you process a lot of events and have many cores, changing the value of hazelcast.event.thread.count property to
a higher value is a good idea. This way, more events can be processed in parallel.
Multiple components share the same event queues. If there are 2 topics, say A and B, for certain messages they may share the same queue(s) and hence the same event thread. If there are a lot of pending messages produced by A, then B needs to wait. Also, when processing a message from A takes a lot of time and the event thread is used for that, B will suffer from this. That is why it is better to offload processing to a dedicated thread (pool) so that systems are better isolated.
If events are produced at a higher rate than they are consumed, the queue will grow in size. To prevent overloading the system
and running into an OutOfMemoryException, the queue is given a capacity of 1 million items. When the maximum capacity is reached, the items are
dropped. This means that the event system is a 'best effort' system. There is no guarantee that you are going to get an
event. Topic A might have a lot of pending messages, and therefore B cannot receive messages because the queue
has no capacity and messages for B are dropped.