Spring Data Elasticsearch
Spring Data implementation for ElasticSearch
Spring Data makes it easier to build Spring-powered applications that use new data access technologies such as non-relational databases, map-reduce frameworks, and cloud based data services as well as provide improved support for relational database technologies.
The Spring Data Elasticsearch project provides integration with the elasticsearch search engine.
Guide
- Reference Documentation
- PDF Documentation
- API Documentation
- Spring Data Project
- Sample Test Application
- Spring Data Elasticsearch Google Group
- For more detailed questions, use the forum.
Quick Start
Wiki page for Getting Started
Maven configuration
Add the Maven dependency:
<dependency>
<groupId>org.springframework.data</groupId>
<artifactId>spring-data-elasticsearch</artifactId>
<version>1.2.0.RELEASE</version>
</dependency>If you'd rather like the latest snapshots of the upcoming major version, use our Maven snapshot repository and declare the appropriate dependency version.
<dependency>
<groupId>org.springframework.data</groupId>
<artifactId>spring-data-elasticsearch</artifactId>
<version>1.3.0.BUILD-SNAPSHOT</version>
</dependency>
<repository>
<id>spring-libs-snapshot</id>
<name>Spring Snapshot Repository</name>
<url>http://repo.spring.io/libs-snapshot</url>
</repository>###Note: Spring data elaticsearch until 1.0.0.RELEASE version is on elasticsearch 1.1.x library, which uses java 1.6 or later version.
From spring data elastic search 1.1.0.RELEASE (current) on, the version of elasticsearch 1.3.x is supporting java 1.7 or later.
ElasticsearchRepository
A default implementation of ElasticsearchRepository, aligning to the generic Repository Interfaces, is provided. Spring can do the Repository implementation for you depending on method names in the interface definition.
The ElasticsearchCrudRepository extends PagingAndSortingRepository
public interface ElasticsearchCrudRepository<T, ID extends Serializable> extends ElasticsearchRepository<T, ID>, PagingAndSortingRepository<T, ID> {
}Extending ElasticsearchRepository for custom methods
public interface BookRepository extends Repository<Book, String> {
List<Book> findByNameAndPrice(String name, Integer price);
List<Book> findByNameOrPrice(String name, Integer price);
Page<Book> findByName(String name,Pageable page);
Page<Book> findByNameNot(String name,Pageable page);
Page<Book> findByPriceBetween(int price,Pageable page);
Page<Book> findByNameLike(String name,Pageable page);
@Query("{\"bool\" : {\"must\" : {\"term\" : {\"message\" : \"?0\"}}}}")
Page<Book> findByMessage(String message, Pageable pageable);
}Indexing a single document with Repository
@Autowired
private SampleElasticsearchRepository repository;
String documentId = "123456";
SampleEntity sampleEntity = new SampleEntity();
sampleEntity.setId(documentId);
sampleEntity.setMessage("some message");
repository.save(sampleEntity);Indexing multiple Document(bulk index) using Repository
@Autowired
private SampleElasticsearchRepository repository;
String documentId = "123456";
SampleEntity sampleEntity1 = new SampleEntity();
sampleEntity1.setId(documentId);
sampleEntity1.setMessage("some message");
String documentId2 = "123457"
SampleEntity sampleEntity2 = new SampleEntity();
sampleEntity2.setId(documentId2);
sampleEntity2.setMessage("test message");
List<SampleEntity> sampleEntities = Arrays.asList(sampleEntity1, sampleEntity2);
//bulk index
repository.save(sampleEntities);ElasticsearchTemplate
ElasticsearchTemplate is the central support class for elasticsearch operations.
Indexing a single document using Elasticsearch Template
String documentId = "123456";
SampleEntity sampleEntity = new SampleEntity();
sampleEntity.setId(documentId);
sampleEntity.setMessage("some message");
IndexQuery indexQuery = new IndexQueryBuilder().withId(sampleEntity.getId()).withObject(sampleEntity).build();
elasticsearchTemplate.index(indexQuery);Indexing multiple Document(bulk index) using Elasticsearch Template
@Autowired
private ElasticsearchTemplate elasticsearchTemplate;
List<IndexQuery> indexQueries = new ArrayList<IndexQuery>();
//first document
String documentId = "123456";
SampleEntity sampleEntity1 = new SampleEntity();
sampleEntity1.setId(documentId);
sampleEntity1.setMessage("some message");
IndexQuery indexQuery1 = new IndexQueryBuilder().withId(sampleEntity1.getId()).withObject(sampleEntity1).build();
indexQueries.add(indexQuery1);
//second document
String documentId2 = "123457";
SampleEntity sampleEntity2 = new SampleEntity();
sampleEntity2.setId(documentId2);
sampleEntity2.setMessage("some message");
IndexQuery indexQuery2 = new IndexQueryBuilder().withId(sampleEntity2.getId()).withObject(sampleEntity2).build()
indexQueries.add(indexQuery2);
//bulk index
elasticsearchTemplate.bulkIndex(indexQueries);Searching entities using Elasticsearch Template
@Autowired
private ElasticsearchTemplate elasticsearchTemplate;
SearchQuery searchQuery = new NativeSearchQueryBuilder()
.withQuery(queryString(documentId).field("id"))
.build();
Page<SampleEntity> sampleEntities = elasticsearchTemplate.queryForPage(searchQuery,SampleEntity.class);XML Namespace
You can set up repository scanning via xml configuration, which will happily create your repositories.
Using Node Client
<?xml version="1.0" encoding="UTF-8"?>
<beans xmlns="http://www.springframework.org/schema/beans"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xmlns:elasticsearch="http://www.springframework.org/schema/data/elasticsearch"
xsi:schemaLocation="http://www.springframework.org/schema/data/elasticsearch http://www.springframework.org/schema/data/elasticsearch/spring-elasticsearch.xsd
http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans.xsd">
<elasticsearch:node-client id="client" local="true"/>
<bean name="elasticsearchTemplate" class="org.springframework.data.elasticsearch.core.ElasticsearchTemplate">
<constructor-arg name="client" ref="client"/>
</bean>
</beans>Using Transport Client
<?xml version="1.0" encoding="UTF-8"?>
<beans xmlns="http://www.springframework.org/schema/beans"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xmlns:elasticsearch="http://www.springframework.org/schema/data/elasticsearch"
xsi:schemaLocation="http://www.springframework.org/schema/data/elasticsearch http://www.springframework.org/schema/data/elasticsearch/spring-elasticsearch.xsd
http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans.xsd">
<elasticsearch:repositories base-package="com.xyz.acme"/>
<elasticsearch:transport-client id="client" cluster-nodes="ip:9300,ip:9300" cluster-name="elasticsearch" />
<bean name="elasticsearchTemplate" class="org.springframework.data.elasticsearch.core.ElasticsearchTemplate">
<constructor-arg name="client" ref="client"/>
</bean>
</beans>Help Pages
Contributing to Spring Data
Here are some ways for you to get involved in the community:
- Get involved with the Spring community on the Spring Community Forums. Please help out on the forum by responding to questions and joining the debate.
- Create JIRA tickets for bugs and new features and comment and vote on the ones that you are interested in.
- Github is for social coding: if you want to write code, we encourage contributions through pull requests from forks of this repository. If you want to contribute code this way, please reference a JIRA ticket as well covering the specific issue you are addressing.
- Watch for upcoming articles on Spring by subscribing to springframework.org
Before we accept a non-trivial patch or pull request we will need you to sign the contributor's agreement. Signing the contributor's agreement does not grant anyone commit rights to the main repository, but it does mean that we can accept your contributions, and you will get an author credit if we do. Active contributors might be asked to join the core team, and given the ability to merge pull requests.
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