Hibernate Search Tutorial

By -

Hibernate Search Getting started

Hibernate Search provides "full-text search" capabilities for your application. It depends on Apache Lucene and Hibernate ORM.

Full-text search is a set of techniques for searching, in a corpus of text documents, the documents that best match a given query.

Hibernate Search relies on either Apache Lucene or Elasticsearch to implement full-text search. Since Elasticsearch uses Lucene internally, they share a lot of characteristics and their general approach to full-text search.

Steps to integrate Hibernate Search into your application:

Compatibility

Java Runtime : Java 8 or greater.
Hibernate ORM (for the ORM mapper) :Hibernate ORM 5.4.12.Final.
JPA (for the ORM mapper) :JPA 2.2.

Dependencies

In order to use Hibernate Search, Below are the matching dependencies for a quick start.


Configuration

Once you have added all required dependencies to your application you have to add a couple of properties to your Hibernate ORM configuration file.
  • A hibernate.properties file in your classpath.
  • The hibernate.cfg.xml file in your classpath, if using Hibernate ORM native bootstrapping.
  • The persistence.xml file in your classpath, if using Hibernate ORM JPA bootstrapping.
Hibernate Search properties in persistence.xml for a "Hibernate ORM + Lucene" setup
<property name="hibernate.search.backends.myBackend.type"
          value="lucene"/> 
<!--
<property name="hibernate.search.backends.myBackend.directory.root"
          value="some/filesystem/path"/>
 --> 
<property name="hibernate.search.default_backend"
          value="myBackend"/> 
Define a backend named "myBackend" relying on Lucene technology.
The backend will store indexes in the current working directory by default. If you want to store the indexes elsewhere, uncomment this line and set the value of the property.
Make sure to use the backend we just defined for all indexes.

Hibernate Search properties in persistence.xml for a "Hibernate ORM + Elasticsearch" setup
<property name="hibernate.search.backends.myBackend.type"
          value="elasticsearch" /> 
<!--
<property name="hibernate.search.backends.myBackend.hosts"
          value="elasticsearch.mycompany.com"/>
<property name="hibernate.search.backends.myBackend.protocol"
          value="https"/>
<property name="hibernate.search.backends.myBackend.username"
          value="ironman"/>
<property name="hibernate.search.backends.myBackend.password"
          value="j@rV1s"/>
 --> 
<property name="hibernate.search.default_backend"
          value="myBackend"/> 
Define a backend named "myBackend" relying on Elasticsearch technology.
The backend will attempt to connect to http://localhost:9200 by default. If you want to connect to another URL, uncomment these lines and set the value for the "hosts" property, and optionally the username and password.
Make sure to use the backend we just defined for all indexes.


Configuring the mapping

Hibernate Search will automatically process mapping annotations for entity types, as well as nested types in those entity types, for instance embedded types. See Entity/index mapping and Mapping a property to an index field with @GenericField, @FullTextField, …​to get started with annotation-based mapping.

If you want to ignore these annotations, set hibernate.search.mapping.process_annotations to false.

To configure the mapping manually, you can set a mapping configurer. By setting hibernate.search.mapping.configurer to a bean reference of type org.hibernate.search.mapper.orm.mapping.HibernateOrmSearchMappingConfigurer, you can use a programmatic API to define the mapping.

Implementing a mapping configurer

public class MySearchMappingConfigurer implements HibernateOrmSearchMappingConfigurer {
    @Override
    public void configure(HibernateOrmMappingConfigurationContext context) {
        ProgrammaticMappingConfigurationContext mapping = context.programmaticMapping();
        mapping.type( Book.class )
                .indexed()
                .property( "title" ).fullTextField().analyzer( "english" );
    }
}





Comments

Post a Comment

Popular posts from this blog

Today Walkin 14th-Sept

By -
Image
14th Sept 2017 ( GO Through all List) Read Walkin details properly , Try to call company before attending if possible !!! ==================================== 1. Myntra through fresherworld (Call Based , Venue shared to shortlisted candidates) _____________________________ 2. Magna : Hiring for Client Harman : C++
Read more

Spring Elasticsearch Operations

By -
Elasticsearch Operations Spring Data Elasticsearch uses two interfaces to define the operations that can be called against an Elasticsearch index. These are ElasticsearchOperations and ReactiveElasticsearchOperations. Whereas the first is used with the classic synchronous implementations, the second one uses reactive infrastructure. The default implementations of the interfaces offer: Read/Write mapping support for domain types. A rich query and criteria api. Resource management and Exception translation. ElasticsearchTemplate The ElasticsearchTemplate is an implementation of the ElasticsearchOperations interface using the Transport Client. @Configuration public class TransportClientConfig extends ElasticsearchConfigurationSupport {   @Bean   public Client elasticsearchClient() throws UnknownHostException {                      Settings settings = Settings.builder().put("cluster.name", "elasticsearch")....
Read more

Hibernate Search - Elasticsearch with JSON manipulation

By -
Elasticsearch with JSON manipulation Elasticsearch ships with many features. It is possible that at some point, one feature you need will not be exposed by the Search DSL. To work around such limitations, Hibernate Search provides ways to: Transform the HTTP request sent to Elasticsearch for search queries. Read the raw JSON of the HTTP response received from Elasticsearch for search queries. Direct changes to the HTTP request may conflict with Hibernate Search features and be supported differently by different versions of Elasticsearch. Similarly, the content of the HTTP response may change depending on the version of Elasticsearch, depending on which Hibernate Search features are used, and even depending on how Hibernate Search features are implemented. Thus, features relying on direct access to HTTP requests or responses cannot be guaranteed to continue to work when upgrading Hibernate Search, even for micro upgrades (x.y.z to x.y.(z+1)). Use this at your own risk....
Read more