Spring Data for Elasticsearch

The primary goal of the Spring Data project is to make 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.

The Spring Data Elasticsearch project provides integration with the Elasticsearch search engine. Key functional areas of Spring Data Elasticsearch are a POJO centric model for interacting with a Elasticsearch Documents and easily writing a Repository style data access layer.

This project is lead and maintained by the community.

Features

Spring configuration support using Java based @Configuration classes or an XML namespace for a ES clients instances.
ElasticsearchRestTemplate helper class that increases productivity performing common ES operations. Includes integrated object mapping between documents and POJOs.
Feature Rich Object Mapping integrated with Spring’s Conversion Service
Annotation based mapping metadata
Automatic implementation of Repository interfaces including support for custom search methods.
CDI support for repositories

Code of Conduct

This project is governed by the Spring Code of Conduct. By participating, you are expected to uphold this code of conduct. Please report unacceptable behavior to spring-code-of-conduct@pivotal.io.

Getting Started

Here is a quick teaser of an application using Spring Data Repositories in Java:

public interface PersonRepository extends CrudRepository<Person, Long> {

  List<Person> findByLastname(String lastname);

  List<Person> findByFirstnameLike(String firstname);
}

@Service
public class MyService {

  private final PersonRepository repository;

  public MyService(PersonRepository repository) {
    this.repository = repository;
  }

  public void doWork() {

    repository.deleteAll();

    Person person = new Person();
    person.setFirstname("Oliver");
    person.setLastname("Gierke");
    repository.save(person);

    List<Person> lastNameResults = repository.findByLastname("Gierke");
    List<Person> firstNameResults = repository.findByFirstnameLike("Oli");
 }
}

Using Transport Client

Note	Usage of the TransportClient is deprecated as of version 4.0, use RestClient instead.

@Configuration
public class TransportClientConfig extends ElasticsearchConfigurationSupport {

	@Bean
	public Client elasticsearchClient() throws UnknownHostException {
		Settings settings = Settings.builder().put("cluster.name", "elasticsearch").build();
		TransportClient client = new PreBuiltTransportClient(settings);
		client.addTransportAddress(new TransportAddress(InetAddress.getByName("127.0.0.1"), 9300));
		return client;
	}

	@Bean(name = { "elasticsearchOperations", "elasticsearchTemplate" })
	public ElasticsearchTemplate elasticsearchTemplate() throws UnknownHostException {
		return new ElasticsearchTemplate(elasticsearchClient());
	}
}

Using the RestClient

Provide a configuration like this:

@Configuration
public class RestClientConfig extends AbstractElasticsearchConfiguration {

    @Override
    @Bean
    public RestHighLevelClient elasticsearchClient() {

        final ClientConfiguration clientConfiguration = ClientConfiguration.builder()
            .connectedTo("localhost:9200")
            .build();

        return RestClients.create(clientConfiguration).rest();
    }
}

Maven configuration

Add the Maven dependency:

<dependency>
  <groupId>org.springframework.data</groupId>
  <artifactId>spring-data-elasticsearch</artifactId>
  <version>${version}.RELEASE</version>
</dependency>

Compatibility Matrix

The compatibility between Spring Data Elasticsearch, Elasticsearch client drivers and Spring Boot versions can be found in the reference documentation.

To use the Release candidate versions of the upcoming major version, use our Maven milestone repository and declare the appropriate dependency version:

<dependency>
  <groupId>org.springframework.data</groupId>
  <artifactId>spring-data-elasticsearch</artifactId>
  <version>${version}.RCx</version> <!-- x being 1, 2, ... -->
</dependency>

<repository>
  <id>spring-libs-snapshot</id>
  <name>Spring Snapshot Repository</name>
  <url>https://repo.spring.io/libs-milestone</url>
</repository>

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>${version}.BUILD-SNAPSHOT</version>
</dependency>

<repository>
  <id>spring-libs-snapshot</id>
  <name>Spring Snapshot Repository</name>
  <url>https://repo.spring.io/libs-snapshot</url>
</repository>

Getting Help

Having trouble with Spring Data? We’d love to help!

Check the reference documentation, and Javadocs.
Learn the Spring basics – Spring Data builds on Spring Framework, check the spring.io web-site for a wealth of reference documentation. If you are just starting out with Spring, try one of the guides.
If you are upgrading, check out the changelog for “new and noteworthy” features.
Ask a question - we monitor stackoverflow.com for questions tagged with spring-data-elasticsearch. You can also chat with the community on Gitter.
Report bugs with Spring Data for Elasticsearch at jira.spring.io/browse/DATAES.

Reporting Issues

Spring Data uses JIRA as issue tracking system to record bugs and feature requests. If you want to raise an issue, please follow the recommendations below:

Before you log a bug, please search the issue tracker to see if someone has already reported the problem.
If the issue doesn’t already exist, create a new issue.
Please provide as much information as possible with the issue report, we like to know the version of Spring Data that you are using and JVM version.
If you need to paste code, or include a stack trace use JIRA {code}…{code} escapes before and after your text.
If possible try to create a test-case or project that replicates the issue. Attach a link to your code or a compressed file containing your code.

Building from Source

You don’t need to build from source to use Spring Data (binaries in repo.spring.io), but if you want to try out the latest and greatest, Spring Data can be easily built with the maven wrapper. You also need JDK 1.8.

 $ ./mvnw clean install

If you want to build with the regular mvn command, you will need Maven v3.5.0 or above.

Also see CONTRIBUTING.adoc if you wish to submit pull requests, and in particular please sign the Contributor’s Agreement before submitting your first pull request.

Important

When contributing, please make sure an issue exists in Jira and comment on this issue with how you want to address it. By this we not only know that someone is working on an issue, we can also align architectural questions and possible solutions before work is invested. We so can prevent that much work is put into Pull Requests that have little or no chances of being merged.

Building reference documentation

Building the documentation builds also the project without running tests.

 $ ./mvnw clean install -Pdistribute

The generated documentation is available from target/site/reference/html/index.html.

Examples

For examples on using the Spring Data for Elasticsearch, see the spring-data-examples project.

License

Spring Data for Elasticsearch Open Source software released under the Apache 2.0 license.

pcspapa/spring-data-elasticsearch