Hibernate.orgCommunity Documentation

Hibernate Search

Apache Lucene™ Integration

Reference Guide


Preface
1. Getting started
1.1. System Requirements
1.2. Using Maven
1.2.1. Using a Maven Archetype
1.3. Configuration
1.4. Indexing
1.5. Searching
1.6. Analyzer
1.7. What's next
2. Architecture
2.1. Overview
2.2. Back end
2.2.1. Lucene
2.2.2. JMS
2.2.3. JGroups
2.3. Reader strategy
2.3.1. shared
2.3.2. not-shared
2.3.3. Custom
3. Configuration
3.1. Enabling Hibernate Search and automatic indexing
3.1.1. Enabling Hibernate Search
3.1.2. Automatic indexing
3.2. Configuring the IndexManager
3.2.1. directory-based
3.2.2. near-real-time
3.2.3. Custom
3.3. Directory configuration
3.3.1. Infinispan Directory configuration
3.4. Worker configuration
3.4.1. JMS Master/Slave back end
3.4.2. JGroups Master/Slave back end
3.5. Reader strategy configuration
3.6. Tuning Lucene indexing performance
3.6.1. Control segment size
3.7. LockFactory configuration
3.8. Exception Handling Configuration
3.9. Index format compatibility
4. Mapping entities to the index structure
4.1. Mapping an entity
4.1.1. Basic mapping
4.1.2. Mapping properties multiple times
4.1.3. Embedded and associated objects
4.2. Boosting
4.2.1. Static index time boosting
4.2.2. Dynamic index time boosting
4.3. Analysis
4.3.1. Default analyzer and analyzer by class
4.3.2. Named analyzers
4.3.3. Dynamic analyzer selection
4.3.4. Retrieving an analyzer
4.4. Bridges
4.4.1. Built-in bridges
4.4.2. Tika bridge
4.4.3. Custom bridges
4.5. Conditional indexing: to index or not based on entity state
4.6. Providing your own id
4.6.1. The ProvidedId annotation
4.7. Programmatic API
4.7.1. Mapping an entity as indexable
4.7.2. Adding DocumentId to indexed entity
4.7.3. Defining analyzers
4.7.4. Defining full text filter definitions
4.7.5. Defining fields for indexing
4.7.6. Programmatically defining embedded entities
4.7.7. Contained In definition
4.7.8. Date/Calendar Bridge
4.7.9. Defining bridges
4.7.10. Mapping class bridge
4.7.11. Mapping dynamic boost
5. Querying
5.1. Building queries
5.1.1. Building a Lucene query using the Lucene API
5.1.2. Building a Lucene query with the Hibernate Search query DSL
5.1.3. Building a Hibernate Search query
5.2. Retrieving the results
5.2.1. Performance considerations
5.2.2. Result size
5.2.3. ResultTransformer
5.2.4. Understanding results
5.3. Filters
5.3.1. Using filters in a sharded environment
5.4. Faceting
5.4.1. Creating a faceting request
5.4.2. Applying a faceting request
5.4.3. Restricting query results
5.5. Optimizing the query process
5.5.1. Caching index values: FieldCache
6. Manual index changes
6.1. Adding instances to the index
6.2. Deleting instances from the index
6.3. Rebuilding the whole index
6.3.1. Using flushToIndexes()
6.3.2. Using a MassIndexer
7. Index Optimization
7.1. Automatic optimization
7.2. Manual optimization
7.3. Adjusting optimization
8. Monitoring
8.1. JMX
8.1.1. StatisticsInfoMBean
8.1.2. IndexControlMBean
8.1.3. IndexingProgressMonitorMBean
9. Spatial
9.1. Enable indexing of Spatial Coordinates
9.1.1. Indexing coordinates for Double Range Queries
9.1.2. Indexing coordinates in a Grid with Quad Trees
9.1.3. Implementing the Coordinates interface
9.2. Performing Spatial Queries
9.2.1. Returning distance to query point in the search results
9.3. Multiple Coordinate pairs
9.4. Insight: implementation details of Quad Tree indexing
9.4.1. At indexing level
9.4.2. At search level
10. Advanced features
10.1. Accessing the SearchFactory
10.2. Using an IndexReader
10.3. Accessing a Lucene Directory
10.4. Sharding indexes
10.5. Sharing indexes
10.6. Using external services
10.6.1. Exposing a service
10.6.2. Using a service
10.7. Customizing Lucene's scoring formula
11. Further reading