SoFunction
Updated on 2025-04-13

SpringBoot integrates ElasticSearch to achieve search function

introduction

In modern web applications, search function is a very important feature. ElasticSearch is a distributed search and analysis engine that can quickly store, search and analyze large amounts of data. Spring Data ElasticSearch provides an easy way to integrate with ElasticSearch. This article will introduce how to integrate ElasticSearch in Spring Boot to implement basic search functions.

What is ElasticSearch

ElasticSearch is an open source search engine based on Lucene, which supports full-text search, structured search and analysis, and can process massive data. It provides a distributed multi-tenant capability full-text search engine with high scalability and real-time capabilities.

Add dependencies

Add ElasticSearch dependencies in Spring Boot project. existAdd the following dependencies to the file:

<dependency>
    <groupId></groupId>
    <artifactId>spring-boot-starter-data-elasticsearch</artifactId>
</dependency>

Configure ElasticSearch

existConfigure ElasticSearch connection information in the file:

=http://localhost:9200

Create entity class

Create a name calledEntity class:

package ;

import ;
import ;

@Document(indexName = "articles")
public class Article {

    @Id
    private String id;
    private String title;
    private String content;

    // Getters and setters
}

Create a Repository interface

Create a name calledinterface, inheritanceElasticsearchRepository

package ;

import ;

import ;

public interface ArticleRepository extends ElasticsearchRepository<Article, String> {
    List<Article> findByTitleContaining(String title);
}

Create a service layer

Create a name calledServices:

package ;

import ;
import ;

import ;

@Service
public class ArticleService {

    @Autowired
    private ArticleRepository articleRepository;

    public Article saveArticle(Article article) {
        return (article);
    }

    public List<Article> findArticlesByTitle(String title) {
        return (title);
    }
}

Create a control layer

Create a name calledController class:

package ;

import ;
import .*;

import ;

@RestController
@RequestMapping("/articles")
public class ArticleController {

    @Autowired
    private ArticleService articleService;

    @PostMapping
    public Article saveArticle(@RequestBody Article article) {
        return (article);
    }

    @GetMapping
    public List<Article> findArticles(@RequestParam String title) {
        return (title);
    }
}

Run ElasticSearch

Make sure ElasticSearch is already running locally. If ElasticSearch has not been installed, you canElasticSearch official websiteDownload and install.

Test search function

After starting the Spring Boot application, you can test it through the following API:

Save the article:POST /articles, request body example:

{
    "title": "Spring Boot with ElasticSearch",
    "content": "Integrating ElasticSearch with Spring Boot..."
}

Search for articles:GET /articles?title=Spring, you will get a list of articles containing the keyword "Spring".

in conclusion

Through this article, you have mastered how to integrate ElasticSearch in Spring Boot and implement basic search functions.

This is the end of this article about Spring Boot integrating ElasticSearch to implement search functions. For more relevant Spring Boot ElasticSearch search content, please search for my previous articles or continue browsing the related articles below. I hope everyone will support me in the future!