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Define the JNDI name of the JMS queue. The JMS queue will receive the Hibernate Search change queues as individual messages.
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hibernate.worker.jms.queue queue/hibernatesearch
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A typical configuration file will contain the properties described in listing 5.16.
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Listing 5.16 Typical configuration properties to enable the JMS backend
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hibernate.worker.backend jms hibernate.worker.jms.connection_factory /ConnectionFactory hibernate.worker.jms.queue queue/hibernatesearch
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10 gives you a better picture of clustered environments and how JMS, the distributed DirectoryProvider, and Hibernate Search work together to cluster your search architecture. Hibernate Search provides several alternatives to the seasoned architectures. You can adjust the search indexing operations to the application s needs. But what if this is not enough can we go further Are we limited to the genuine Hibernate Search architectures Not at all; Hibernate Search is agnostic to the architecture and offers lots of extension points.
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Extension points: beyond the proposed architectures
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Hibernate Search has a pluggable architecture that allows you to change when and how indexing happens. To understand what can be changed, let s dive into some of the architecture s details and see how it works. Figure 5.11 shows the relationships between the architecture s components.
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Sequence of operations from an entity change to its propagation
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Transparent indexing
The three main systems at play are:
Worker Responsible for receiving all entity changes, queueing them by con-
text, and deciding when a context starts and finishes. QueueingProcessor Responsible for piling up changes in a given context, preparing the work for Lucene, and triggering the work either synchronously or asynchronously. BackEndQueueProcessorFactory Responsible for providing a Runnable instance that will perform the list of Lucene changes. The APIs described here are semipublic. Although they haven t changed since the first Hibernate Search s final General Availability (GA) release, they might evolve over time in Hibernate Search if such a need arises. The Hibernate Search project policy guarantees it won t break these APIs inside a given microrelease; for example, all 3.1.x releases will remain compatible.
NOTE
Let s have a closer look at each element.
WORKER: DEFINING THE CONTEXT
By default Hibernate Search keeps track of entity changes per transaction. The piece of code responsible for collecting the changes and sorting them per transaction is the TransactionalWorker. The Worker is responsible for keeping track of changes per context and for deciding when a context starts and stops. Upon a context stop, the Worker implementation should perform (usually delegate) the work accumulated in the context. In the default implementation, when a transaction commits, the Worker prepares the work (essentially converts the entity changes into Lucene changes) and performs it. A Worker implementation must be thread-safe because it is shared for a given SearchFactory; a SearchFactory has the same lifecycle as a SessionFactory or an EntityManagerFactory. Although the transactional context makes the most sense for a variety of reasons (because of the definition of transactions and the way ORMs behave), one can envision a context piling up all concurrent changes and flushing them based on the number of changes or even a context lifecycle driven by application events. Overriding the default context implementation is done through a configuration property, as shown in listing 5.17. All properties starting with the prefix hibernate.search.worker. are passed to the Worker implementation at initialization time.
Listing 5.17 Define a custom Worker implementation
org.hibernate.search.worker.scope my.custom.applicationtriggered.WorkerImpl org.hibernate.search.worker.triggers_before_run 5
Most likely you won t need to create a custom Worker implementation. The transaction-scoped approach is the most appropriate.
Indexing: where, how, what, and when
As the work is collected, it needs to be kept by context. Once the context ends, the queue of entity changes must be prepared and processed. This is the role of the QueueingProcessor.
QUEUEINGPROCESSOR: CONVERTING AN ENTITY CHANGE INTO A LUCENE CHANGE
A QueueingProcessor keeps together entity changes for a given context. It fulfills three functions:
Queues all the entity changes for a given context Converts entity changes into Lucene changes Passes the queue of Lucene changes to the BackendQueueProcessorFactory
The process that converts entity change notifications into a list of Lucene Documents to either delete or add to the indexes involves several actions:
Eliminating duplicate change notifications Applying the relevant field bridges for a given entity Processing the associations marked as embedded Determining associated entities containing the processed entities
All this is done by the prepareWorks method; this method is solely responsible for converting the object to its index representation. The QueueingProcessor then passes the Lucene change queue to the BackendQueueProcessorFactory either synchronously or asynchronously depending on the settings (see section 5.3.3 for more information). Note that you cannot override the default implementation. The preparation code is very specific and subtle, so the need for a custom implementation is unlikely. If you have this need, bring it up to the Hibernate Search developers at hibernate-dev@lists.jboss.org.
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