Apache Lucene has a notion of Directory to store the index files. The Directory implementation can be customized, but Lucene comes bundled with a file system (FSDirectoryProvider) and an in memory (RAMDirectoryProvider) implementation. DirectoryProviders are the Hibernate Search abstraction around a Lucene Directory and handle the configuration and the initialization of the underlying Lucene resources. Table 3.1, “List of built-in Directory Providers” shows the list of the directory providers bundled with Hibernate Search.
Table 3.1. List of built-in Directory Providers
| Class | Description | Properties |
|---|---|---|
| org.hibernate.search.store.FSDirectoryProvider | File system based directory. The directory used will be <indexBase>/< indexName > | indexBase : Base directory indexName: override @Indexed.index (useful for sharded indexes) |
| org.hibernate.search.store.FSMasterDirectoryProvider | File system based directory. Like FSDirectoryProvider. It also copies the index to a source directory (aka copy directory) on a regular basis. The recommended value for the refresh period is (at least) 50% higher that the time to copy the information (default 3600 seconds - 60 minutes). Note that the copy is based on an incremental copy mechanism reducing the average copy time. DirectoryProvider typically used on the master node in a JMS back end cluster. The buffer_size_on_copy optimum depends on your operating system and available RAM; most people reported good results using values between 16 and 64MB. | indexBase: Base directory indexName: override @Indexed.index (useful for sharded indexes) sourceBase: Source (copy) base directory. source: Source directory suffix (default to @Indexed.index). The actual source directory name being <sourceBase>/<source> refresh: refresh period in second (the copy will take place every refresh seconds). buffer_size_on_copy: The amount of MegaBytes to move in a single low level copy instruction; defaults to 16MB. |
| org.hibernate.search.store.FSSlaveDirectoryProvider | File system based directory. Like FSDirectoryProvider, but retrieves a master version (source) on a regular basis. To avoid locking and inconsistent search results, 2 local copies are kept. The recommended value for the refresh period is (at least) 50% higher that the time to copy the information (default 3600 seconds - 60 minutes). Note that the copy is based on an incremental copy mechanism reducing the average copy time. DirectoryProvider typically used on slave nodes using a JMS back end. The buffer_size_on_copy optimum depends on your operating system and available RAM; most people reported good results using values between 16 and 64MB. | indexBase: Base directory indexName: override @Indexed.index (useful for sharded indexes) sourceBase: Source (copy) base directory. source: Source directory suffix (default to @Indexed.index). The actual source directory name being <sourceBase>/<source> refresh: refresh period in second (the copy will take place every refresh seconds). buffer_size_on_copy: The amount of MegaBytes to move in a single low level copy instruction; defaults to 16MB. |
| org.hibernate.search.store.RAMDirectoryProvider | Memory based directory, the directory will be uniquely identified (in the same deployment unit) by the @Indexed.index element | none |
If the built-in directory providers do not fit your needs, you can write your own directory provider by implementing the org.hibernate.store.DirectoryProvider interface.
Each indexed entity is associated to a Lucene index (an index can be shared by several entities but this is not usually the case). You can configure the index through properties prefixed by hibernate.search.indexname . Default properties inherited to all indexes can be defined using the prefix hibernate.search.default.
To define the directory provider of a given index, you use the hibernate.search.indexname.directory_provider
Example 3.1. Configuring directory providers
hibernate.search.default.directory_provider org.hibernate.search.store.FSDirectoryProvider hibernate.search.default.indexBase=/usr/lucene/indexes hibernate.search.Rules.directory_provider org.hibernate.search.store.RAMDirectoryProvider
applied on
Example 3.2. Specifying the index name using the index parameter of @Indexed
@Indexed(index="Status")
public class Status { ... }
@Indexed(index="Rules")
public class Rule { ... }will create a file system directory in /usr/lucene/indexes/Status where the Status entities will be indexed, and use an in memory directory named Rules where Rule entities will be indexed.
You can easily define common rules like the directory provider and base directory, and override those defaults later on on a per index basis.
Writing your own DirectoryProvider, you can utilize this configuration mechanism as well.
In some extreme cases involving huge indexes (in size), it is necessary to split (shard) the indexing data of a given entity type into several Lucene indexes. This solution is not recommended until you reach significant index sizes and index update times are slowing the application down. The main drawback of index sharding is that searches will end up being slower since more files have to be opened for a single search. In other words don't do it until you have problems :)
Despite this strong warning, Hibernate Search allows you to index a given entity type into several sub indexes. Data is sharded into the different sub indexes thanks to an IndexShardingStrategy. By default, no sharding strategy is enabled, unless the number of shards is configured. To configure the number of shards use the following property
Example 3.3. Enabling index sharding by specifying nbr_of_shards for a specific index
hibernate.search.<indexName>.sharding_strategy.nbr_of_shards 5
This will use 5 different shards.
The default sharding strategy, when shards are set up, splits the data according to the hash value of the id string representation (generated by the Field Bridge). This ensures a fairly balanced sharding. You can replace the strategy by implementing IndexShardingStrategy and by setting the following property
Example 3.4. Specifying a custom sharding strategy
hibernate.search.<indexName>.sharding_strategy my.shardingstrategy.Implementation
Each shard has an independent directory provider configuration as described in Section 3.1, “Directory configuration”. The DirectoryProvider default name for the previous example are <indexName>.0 to <indexName>.4. In other words, each shard has the name of it's owning index followed by . (dot) and its index number.
Example 3.5. Configuring the sharding configuration for an example entity Animal
hibernate.search.default.indexBase /usr/lucene/indexes hibernate.search.Animal.sharding_strategy.nbr_of_shards 5 hibernate.search.Animal.directory_provider org.hibernate.search.store.FSDirectoryProvider hibernate.search.Animal.0.indexName Animal00 hibernate.search.Animal.3.indexBase /usr/lucene/sharded hibernate.search.Animal.3.indexName Animal03
This configuration uses the default id string hashing strategy and shards the Animal index into 5 subindexes. All subindexes are FSDirectoryProvider instances and the directory where each subindex is stored is as followed:
for subindex 0: /usr/lucene/indexes/Animal00 (shared indexBase but overridden indexName)
for subindex 1: /usr/lucene/indexes/Animal.1 (shared indexBase, default indexName)
for subindex 2: /usr/lucene/indexes/Animal.2 (shared indexBase, default indexName)
for subindex 3: /usr/lucene/shared/Animal03 (overridden indexBase, overridden indexName)
for subindex 4: /usr/lucene/indexes/Animal.4 (shared indexBase, default indexName)
This is only presented here so that you know the option is available. There is really not much benefit in sharing indexes.
It is technically possible to store the information of more than one entity into a single Lucene index. There are two ways to accomplish this:
Configuring the underlying directory providers to point to the same physical index directory. In practice, you set the property hibernate.search.[fully qualified entity name].indexName to the same value. As an example let’s use the same index (directory) for the Furniture and Animal entity. We just set indexName for both entities to for example “Animal”. Both entities will then be stored in the Animal directory
hibernate.search.org.hibernate.search.test.shards.Furniture.indexName = Aninal hibernate.search.org.hibernate.search.test.shards.Animal.indexName = Aninal
Setting the @Indexed annotation’s index attribute of the entities you want to merge to the same value. If we again wanted all Furniture instances to be indexed in the Animal index along with all instances of Animal we would specify @Indexed(index=”Animal”) on both Animal and Furniture classes.
It is possible to refine how Hibernate Search interacts with Lucene through the worker configuration. The work can be executed to the Lucene directory or sent to a JMS queue for later processing. When processed to the Lucene directory, the work can be processed synchronously or asynchronously to the transaction commit.
You can define the worker configuration using the following properties
Table 3.2. worker configuration
| Property | Description |
| hibernate.search.worker.backend | Out of the box support for the Apache Lucene back end and the JMS back end. Default to lucene. Supports also jms. |
| hibernate.search.worker.execution | Supports synchronous and asynchrounous execution. Default to sync. Supports also async. |
| hibernate.search.worker.thread_pool.size | Defines the number of threads in the pool. useful only for asynchrounous execution. Default to 1. |
| hibernate.search.worker.buffer_queue.max | Defines the maximal number of work queue if the thread poll is starved. Useful only for asynchrounous execution. Default to infinite. If the limit is reached, the work is done by the main thread. |
| hibernate.search.worker.jndi.* | Defines the JNDI properties to initiate the InitialContext (if needed). JNDI is only used by the JMS back end. |
| hibernate.search.worker.jms.connection_factory | Mandatory for the JMS back end. Defines the JNDI name to lookup the JMS connection factory from (/ConnectionFactory by default in JBoss AS) |
| hibernate.search.worker.jms.queue | Mandatory for the JMS back end. Defines the JNDI name to lookup the JMS queue from. The queue will be used to post work messages. |
This section describes in greater detail how to configure the Master / Slaves Hibernate Search architecture.

JMS Master/Slave architecture overview.
Every index update operation is sent to a JMS queue. Index quering operations are executed on a local index copy.
Example 3.6. JMS Slave configuration
### slave configuration ## DirectoryProvider # (remote) master location hibernate.search.default.sourceBase = /mnt/mastervolume/lucenedirs/mastercopy # local copy location hibernate.search.default.indexBase = /Users/prod/lucenedirs # refresh every half hour hibernate.search.default.refresh = 1800 # appropriate directory provider hibernate.search.default.directory_provider = org.hibernate.search.store.FSSlaveDirectoryProvider ## Backend configuration hibernate.search.worker.backend = jms hibernate.search.worker.jms.connection_factory = /ConnectionFactory hibernate.search.worker.jms.queue = queue/hibernatesearch #optional jndi configuration (check your JMS provider for more information) ## Optional asynchronous execution strategy # hibernate.search.worker.execution = async # hibernate.search.worker.thread_pool.size = 2 # hibernate.search.worker.buffer_queue.max = 50
A file system local copy is recommended for faster search results.
The refresh period should be higher that the expected time copy.
Every index update operation is taken from a JMS queue and executed. The master index is copied on a regular basis.
Example 3.7. JMS Master configuration
### master configuration ## DirectoryProvider # (remote) master location where information is copied to hibernate.search.default.sourceBase = /mnt/mastervolume/lucenedirs/mastercopy # local master location hibernate.search.default.indexBase = /Users/prod/lucenedirs # refresh every half hour hibernate.search.default.refresh = 1800 # appropriate directory provider hibernate.search.default.directory_provider = org.hibernate.search.store.FSMasterDirectoryProvider ## Backend configuration #Backend is the default lucene one
The refresh period should be higher that the expected time copy.
In addition to the Hibernate Search framework configuration, a Message Driven Bean should be written and set up to process the index works queue through JMS.
Example 3.8. Message Driven Bean processing the indexing queue
@MessageDriven(activationConfig = {
@ActivationConfigProperty(propertyName="destinationType", propertyValue="javax.jms.Queue"),
@ActivationConfigProperty(propertyName="destination", propertyValue="queue/hibernatesearch"),
@ActivationConfigProperty(propertyName="DLQMaxResent", propertyValue="1")
} )
public class MDBSearchController extends AbstractJMSHibernateSearchController implements MessageListener {
@PersistenceContext EntityManager em;
//method retrieving the appropriate session
protected Session getSession() {
return (Session) em.getDelegate();
}
//potentially close the session opened in #getSession(), not needed here
protected void cleanSessionIfNeeded(Session session)
}
}This example inherits from the abstract JMS controller class available in the Hibernate Search source code and implements a JavaEE 5 MDB. This implementation is given as an example and, while most likely be more complex, can be adjusted to make use of non Java EE Message Driven Beans. For more information about the getSession() and cleanSessionIfNeeded(), please check AbstractJMSHibernateSearchController's javadoc.
The different reader strategies are described in Reader strategy. Out of the box strategies are:
shared: share index readers across several queries. This strategy is the most efficient.
not-shared: create an index reader for each individual query
The default reader strategy is shared. This can be adjusted:
hibernate.search.reader.strategy = not-shared
Adding this property switches to the not-shared strategy.
Or if you have a custom reader strategy:
hibernate.search.reader.strategy = my.corp.myapp.CustomReaderProvider
where my.corp.myapp.CustomReaderProvider is the custom strategy implementation.
Hibernate Search is enabled out of the box when using Hibernate Annotations or Hibernate EntityManager. If, for some reason you need to disable it, set hibernate.search.autoregister_listeners to false. Note that there is no performance penalty when the listeners are enabled even though no entities are indexed.
To enable Hibernate Search in Hibernate Core (ie. if you don't use Hibernate Annotations), add the FullTextIndexEventListener for the following six Hibernate events.
Example 3.9. Explicitly enabling Hibernate Search by configuring the FullTextIndexEventListener
<hibernate-configuration>
<session-factory>
...
<event type="post-update"/>
<listener class="org.hibernate.search.event.FullTextIndexEventListener"/>
</event>
<event type="post-insert"/>
<listener class="org.hibernate.search.event.FullTextIndexEventListener"/>
</event>
<event type="post-delete"/>
<listener class="org.hibernate.search.event.FullTextIndexEventListener"/>
</event>
<event type="post-collection-recreate"/>
<listener class="org.hibernate.search.event.FullTextIndexEventListener"/>
</event>
<event type="post-collection-remove"/>
<listener class="org.hibernate.search.event.FullTextIndexEventListener"/>
</event>
<event type="post-collection-update"/>
<listener class="org.hibernate.search.event.FullTextIndexEventListener"/>
</event>
</session-factory>
</hibernate-configuration>By default, every time an object is inserted, updated or deleted through Hibernate, Hibernate Search updates the according Lucene index. It is sometimes desirable to disable that features if either your index is read-only or if index updates are done in a batch way (see Chapter 6, Manual indexing).
To disable event based indexing, set
hibernate.search.indexing_strategy manual
In most case, the JMS backend provides the best of both world, a lightweight event based system keeps track of all changes in the system, and the heavyweight indexing process is done by a separate process or machine.
Hibernate Search allows you to tune the Lucene indexing performance by specifying a set of parameters which are passed through to underlying Lucene IndexWriter such as mergeFactor, maxMergeDocs and maxBufferedDocs. You can specify these parameters either as default values applying for all indexes, on a per index basis, or even per shard.
There are two sets of parameters allowing for different performance settings depending on the use case. During indexing operations triggered by database modifications, the parameters are grouped by the transaction keyword:
hibernate.search.[default|<indexname>].indexwriter.transaction.<parameter_name>
When indexing occurs via FullTextSession.index() (see Chapter 6, Manual indexing), the used properties are those grouped under the batch keyword:
hibernate.search.[default|<indexname>].indexwriter.batch.<parameter_name>
Unless the corresponding .batch property is explicitly set, the value will default to the .transaction property. If no value is set for a .batch value in a specific shard configuration, Hibernate Search will look at the index section, then at the default section and after that it will look for a .transaction in the same order:
hibernate.search.Animals.2.indexwriter.transaction.max_merge_docs 10 hibernate.search.Animals.2.indexwriter.transaction.merge_factor 20 hibernate.search.default.indexwriter.batch.max_merge_docs 100
This configuration will result in these settings applied to the second shard of Animals index:
transaction.max_merge_docs = 10
batch.max_merge_docs = 100
transaction.merge_factor = 20
batch.merge_factor = 20
All other values will use the defaults defined in Lucene.
The default for all values is to leave them at Lucene's own default, so the listed values in the following table actually depend on the version of Lucene you are using; values shown are relative to version 2.4. For more information about Lucene indexing performances, please refer to the Lucene documentation.
Table 3.3. List of indexing performance and behavior properties
| Property | Description | Default Value |
|---|---|---|
| hibernate.search.[default|<indexname>].indexwriter.[transaction|batch].max_buffered_delete_terms | Determines the minimal number of delete terms required before the buffered in-memory delete terms are applied and flushed. If there are documents buffered in memory at the time, they are merged and a new segment is created. | Disabled (flushes by RAM usage) |
| hibernate.search.[default|<indexname>].indexwriter.[transaction|batch].max_buffered_docs | Controls the amount of documents buffered in memory during indexing. The bigger the more RAM is consumed. | Disabled (flushes by RAM usage) |
| hibernate.search.[default|<indexname>].indexwriter.[transaction|batch].max_field_length | The maximum number of terms that will be indexed for a single field. This limits the amount of memory required for indexing so that very large data will not crash the indexing process by running out of memory. This setting refers to the number of running terms, not to the number of different terms. This silently truncates large documents, excluding from the index all terms that occur further in the document. If you know your source documents are large, be sure to set this value high enough to accomodate the expected size. If you set it to Integer.MAX_VALUE, then the only limit is your memory, but you should anticipate an OutOfMemoryError. If setting this value in batch differently than in transaction you may get different data (and results) in your index depending on the indexing mode. | 10000 |
| hibernate.search.[default|<indexname>].indexwriter.[transaction|batch].max_merge_docs | Defines the largest number of documents allowed in a segment. Larger values are best for batched indexing and speedier searches. Small values are best for transaction indexing. | Unlimited (Integer.MAX_VALUE) |
| hibernate.search.[default|<indexname>].indexwriter.[transaction|batch].merge_factor | Controls segment merge frequency and size. Determines how often segment indices are merged when insertion occurs. With smaller values, less RAM is used while indexing, and searches on unoptimized indices are faster, but indexing speed is slower. With larger values, more RAM is used during indexing, and while searches on unoptimized indices are slower, indexing is faster. Thus larger values (> 10) are best for batch index creation, and smaller values (< 10) for indices that are interactively maintained. The value must no be lower than 2. | 10 |
| hibernate.search.[default|<indexname>].indexwriter.[transaction|batch].ram_buffer_size | Controls the amount of RAM in MB dedicated to document buffers. When used together max_buffered_docs a flush occurs for whichever event happens first. Generally for faster indexing performance it's best to flush by RAM usage instead of document count and use as large a RAM buffer as you can. | 16 MB |
| hibernate.search.[default|<indexname>].indexwriter.[transaction|batch].term_index_interval | Expert: Set the interval between indexed terms. Large values cause less memory to be used by IndexReader, but slow random-access to terms. Small values cause more memory to be used by an IndexReader, and speed random-access to terms. See Lucene documentation for more details. | 128 |
| hibernate.search.[default|<indexname>].indexwriter.[transaction|batch].use_compound_file | The advantage of using the compound file format is that
less file descriptors are used. The disadvantage is that indexing
takes more time and temporary disk space. You can set this
parameter to false in an attempt to improve the
indexing time, but you could run out of file descriptors if
mergeFactor is also
large. Boolean parameter, use "true" or "false". The default value for this option is true. | true |