= Spring Data for Elasticsearch image:https://jenkins.spring.io/buildStatus/icon?job=spring-data-elasticsearch%2Fmain&subject=Build[link=https://jenkins.spring.io/view/SpringData/job/spring-data-elasticsearch/] https://gitter.im/spring-projects/spring-data[image:https://badges.gitter.im/spring-projects/spring-data.svg[Gitter]] image:https://img.shields.io/badge/Revved%20up%20by-Develocity-06A0CE?logo=Gradle&labelColor=02303A["Revved up by Develocity", link="https://ge.spring.io/scans?search.rootProjectNames=Spring Data Elasticsearch"]
The primary goal of the https://projects.spring.io/spring-data[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 https://www.elastic.co/[Elasticsearch] search engine.
Key functional areas of Spring Data Elasticsearch are a POJO centric model for interacting with 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 an ES client instances. ElasticsearchOperations
class and implementations 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 https://github.com/spring-projects/.github/blob/e3cc2ff230d8f1dca06535aa6b5a4a23815861d4/CODE_OF_CONDUCT.md[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:
[source,java]
public interface PersonRepository extends CrudRepository<Person, Long> {
List findByLastname(String lastname);
List 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 the RestClient
Please check the official documentation.
=== Maven configuration
Add the Maven dependency:
[source,xml]
org.springframework.data
spring-data-elasticsearch
${version}
----
Compatibility Matrix
The compatibility between Spring Data Elasticsearch, Elasticsearch client drivers and Spring Boot versions can be found in the https://docs.spring.io/spring-data/elasticsearch/docs/current/reference/html/#preface.versions[reference documentation].
To use the Release candidate versions of the upcoming major version, use our Maven milestone repository and declare the appropriate dependency version:
[source,xml]
org.springframework.data
spring-data-elasticsearch
${version}.RCx
spring-snapshot
Spring Snapshot Repository
https://repo.spring.io/milestone
----
If you'd rather like the latest snapshots of the upcoming major version, use our Maven snapshot repository and declare the appropriate dependency version:
[source,xml]
org.springframework.data
spring-data-elasticsearch
${version}-SNAPSHOT
spring-snapshot
Spring Snapshot Repository
https://repo.spring.io/snapshot
----
== Getting Help
Having trouble with Spring Data?
We’d love to help!
== Reporting Issues
Spring Data uses GitHub as issue tracking system to record bugs and feature requests.
If you want to raise an issue, please follow the recommendations below:
== Building from Source
You don’t need to build from source to use Spring Data (binaries in https://repo.spring.io[repo.spring.io]), but if you want to try out the latest and greatest, Spring Data can be easily built with the https://github.com/takari/maven-wrapper[maven wrapper].
You need JDK 17 or above to build the main branch.
For the branches up to and including release 4.4, JDK 8 is required.
[source,bash]
$ ./mvnw clean install
If you want to build with the regular mvn
command, you will need https://maven.apache.org/run-maven/index.html[Maven v3.5.0 or above].
Also see link:CONTRIBUTING.adoc[CONTRIBUTING.adoc] if you wish to submit pull requests, and in particular please sign the https://cla.pivotal.io/sign/spring[Contributor’s Agreement] before submitting your first pull request.
IMPORTANT: When contributing, please make sure an issue exists in https://github.com/spring-projects/spring-data-elasticsearch/issues[issue tracker] 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.
[source,bash]
$ ./mvnw clean install -Pantora
The generated documentation is available from target/antora/site/index.html
.
== Examples
For examples on using the Spring Data for Elasticsearch, see the https://github.com/spring-projects/spring-data-examples/tree/main/elasticsearch/example[spring-data-examples] project.
== License
Spring Data for Elasticsearch Open Source software released under the https://www.apache.org/licenses/LICENSE-2.0.html[Apache 2.0 license].