Springboot整合Elasticsearch-CRUD+分页查询

ES-docker安装参考这篇: Centos7使用Docker部署Elasticsearch服务+IK分词器及Head插件安装
ES-windows安装参考这篇: windows10安装ElasticSearch与Head-master+IK分词器安装与自定义词库

1. 环境配置

pom.xml

	 <dependency>
            <groupId>org.springframework.bootgroupId>
            <artifactId>spring-boot-starter-data-elasticsearchartifactId>
        dependency>

application.yml

server:
  port: 9001 #端口号
spring:
  application:
    name: sunmone-search #服务名称
  data:
    elasticsearch:
      cluster-nodes: 192.168.1.158:9300 # ES服务地址

实体类

import org.springframework.data.annotation.Id;
import org.springframework.data.elasticsearch.annotations.Document;
import org.springframework.data.elasticsearch.annotations.Field;

/*
 * @Document(indexName = "索引名称",type = "表名称")
 * 如果索引不存在,那么将会自动创建索引,type同理
 * */
@Document(indexName = "tensquare", type = "article")
public class Article implements Serializable {

    @Id // @Id 让ES知道这个字段是_id
    private String id;

    // 字段开启分词,分词规则: 最细粒度切分,搜索规则:最细粒度搜索
    @Field(index = true, analyzer = "ik_max_word", searchAnalyzer = "ik_max_word")
    private String title;

    // 字段开启分词,分词规则: 最细粒度切分,搜索规则:最细粒度搜索
    @Field(index = true, analyzer = "ik_max_word", searchAnalyzer = "ik_max_word")
    private String content;
    private String state;
    
	... GET AND SET ...
}

启动类

@SpringBootApplication
public class SearchApplication {
    public static void main(String[] args) {
        SpringApplication.run(SearchApplication.class);
    }
}

2. 代码编写

2.1 Dao层

// SpringBoot使用ES,继承 ElasticsearchRepository <实体类,主键ID类型>
public interface ArticleDao extends ElasticsearchRepository<Article, String> {

    // 按关键词分页查询
    public Page<Article> findByTitleLikeOrContentLike(String title, String content, Pageable pageable);
}

2.2 Service层

@Service
public class ArticleService {
    @Autowired
    private ArticleDao articleDao;

    // 按关键词分页查询
    public Page<Article> search(String keywords, int page, int size) {
        PageRequest pageRequest = PageRequest.of(page - 1, size);
        return articleDao.findByTitleLikeOrContentLike(keywords, keywords, pageRequest);
    }
    // 添加数据 以下语法跟mysql一致
    public void save(Article article) {
    // 这里记得设置ID,我用的工具类雪花ID
        article.setId("1");
        articleDao.save(article);
    }
    // 修改
    public void update(Article article) {
        articleDao.save(article);
    }
    // 删除
    public void deleteById(String id) {
        articleDao.deleteById(id);
    }
    // 按ID查询
    public Article findById(String id) {
        return articleDao.findById(id).get();
    }
}

2.2 Controller层

@RestController
@CrossOrigin
@RequestMapping("/article")
public class ArticleController {
    @Autowired
    private ArticleService articleService;

    // 添加数据
    @RequestMapping(method = RequestMethod.POST)
    public Result save(@RequestBody Article article) {
        articleService.save(article);
        return new Result(true, StatusCode.OK, "添加成功");
    }

    // 关键词分页查询
    @RequestMapping(value = "search/{keywords}/{page}/{size}", method = RequestMethod.GET)
    public Result search(@PathVariable String keywords, @PathVariable int page, @PathVariable int size) {
        Page<Article> search = articleService.search(keywords, page, size);
        return new Result(true, StatusCode.OK, "查询成功",
                new PageResult(search.getTotalElements(), search.getContent()));
    }
}

3. 测试结果

我手动添加了几条数据

在Head插件中查看

搜索成功