/spring-data-elasticsearch

Spring Data Elasticsearch

Primary LanguageJava

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

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>1.0.0.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>1.0.0.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 1.0.0.RELEASE version is on elasticsearch 1.1.1 library which uses java 1.6 or later version. As latest version of elasticsearch 1.2.x is now supporting java 1.7, future releases of spring data elasticsearch library can be used with Java 7 or later version. In order to use with java 6 it has to be with elasticsearch 1.1.x.

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

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