Este conteúdo não está disponível no idioma selecionado.
14.5. Index Optimization
From time to time, the Lucene index needs to be optimized. The process is essentially a defragmentation. Until an optimization is triggered Lucene only marks deleted documents as such, no physical are applied. During the optimization process the deletions will be applied which also affects the number of files in the Lucene Directory.
Optimizing the Lucene index speeds up searches but has no effect on the indexation (update) performance. During an optimization, searches can be performed, but will most likely be slowed down. All index updates will be stopped. It is recommended to schedule optimization:
- On an idle system or when searches are least frequent.
- After a large number of index modifications are applied.
MassIndexer
(see Section 14.4.3.2, “Using a MassIndexer”) optimizes indexes by default at the start and at the end of processing. Use MassIndexer
.optimizeAfterPurge
and MassIndexer
.optimizeOnFinish
to change this default behavior.
14.5.1. Automatic Optimization
Hibernate Search can automatically optimize an index after either:
- a certain amount of operations (insertion or deletion).
- a certain amount of transactions.
The configuration for automatic index optimization can be defined either globally or per index:
Example 14.67. Defining automatic optimization parameters
hibernate.search.default.optimizer.operation_limit.max = 1000 hibernate.search.default.optimizer.transaction_limit.max = 100 hibernate.search.Animal.optimizer.transaction_limit.max = 50
An optimization will be triggered to the
Animal
index as soon as either:
- the number of additions and deletions reaches
1000
. - the number of transactions reaches
50
(hibernate.search.Animal.optimizer.transaction_limit.max
has priority overhibernate.search.default.optimizer.transaction_limit.max
)
If none of these parameters are defined, no optimization is processed automatically.
The default implementation of OptimizerStrategy can be overridden by implementing
org.hibernate.search.store.optimization.OptimizerStrategy
and setting the optimizer.implementation
property to the fully qualified name of your implementation. This implementation must implement the interface, be a public class and have a public constructor taking no arguments.
Example 14.68. Loading a custom OptimizerStrategy
hibernate.search.default.optimizer.implementation = com.acme.worlddomination.SmartOptimizer hibernate.search.default.optimizer.SomeOption = CustomConfigurationValue hibernate.search.humans.optimizer.implementation = default
The keyword
default
can be used to select the Hibernate Search default implementation; all properties after the .optimizer
key separator will be passed to the implementation's initialize
method at start.
14.5.2. Manual Optimization
You can programmatically optimize (defragment) a Lucene index from Hibernate Search through the
SearchFactory
:
Example 14.69. Programmatic Index Optimization
FullTextSession fullTextSession = Search.getFullTextSession(regularSession); SearchFactory searchFactory = fullTextSession.getSearchFactory(); searchFactory.optimize(Order.class); // or searchFactory.optimize();
The first example optimizes the Lucene index holding
Order
s and the second optimizes all indexes.
Note
searchFactory.optimize()
has no effect on a JMS backend. You must apply the optimize operation on the Master node.
14.5.3. Adjusting Optimization
Apache Lucene has a few parameters to influence how optimization is performed. Hibernate Search exposes those parameters.
Further index optimization parameters include:
hibernate.search.[default|<indexname>].indexwriter.max_buffered_docs
hibernate.search.[default|<indexname>].indexwriter.max_merge_docs
hibernate.search.[default|<indexname>].indexwriter.merge_factor
hibernate.search.[default|<indexname>].indexwriter.ram_buffer_size
hibernate.search.[default|<indexname>].indexwriter.term_index_interval