es 7.x 与Spring Data的集成demo

SpringData 框架集成

SpringData 用于简化数据库 , 非关系型数据库访问的框架. 目标是对数据的访问更加简便. 实现对数据的crud和分页, 排序等操作.

代码实现

创建一个maven项目, pom文件如下

    4.0.0

    org.example
    es-springdata
    1.0-SNAPSHOT

    
        org.springframework.boot
        spring-boot-starter-parent
        2.3.6.RELEASE
        
    

    
        8
        8
    

    
        
            org.projectlombok
            lombok
        

        
            org.springframework.boot
            spring-boot-starter-data-elasticsearch
        

        
            org.springframework.boot
            spring-boot-devtools
            runtime
            true
        
        
            org.springframework.boot
            spring-boot-starter-test
            test
        

        
            org.springframework.boot
            spring-boot-test
        

        
            junit
            junit
        

        
            org.springframework
            spring-test
        
    

yml中配置如下:

# es服务地址
elasticsearch.host=127.0.0.1
# es服务端口
elasticsearch.port=9200
# 配置日志级别,开启debug日志
logging.level.com.atguigu.es=debug

创建配置类, 读取es的配置

package com.thc.es;

import lombok.Data;
import org.apache.http.HttpHost;
import org.elasticsearch.client.RestClient;
import org.elasticsearch.client.RestClientBuilder;
import org.elasticsearch.client.RestHighLevelClient;
import org.springframework.boot.context.properties.ConfigurationProperties;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.elasticsearch.config.AbstractElasticsearchConfiguration;

@ConfigurationProperties(prefix = "elasticsearch")
@Configuration
@Data
public class ElasticsearchConfig extends AbstractElasticsearchConfiguration {
    private String host ;
    private Integer port ;

    //重写父类方法
    @Override
    public RestHighLevelClient elasticsearchClient() {
        RestClientBuilder builder = RestClient.builder(new HttpHost(host, port));
        RestHighLevelClient restHighLevelClient = new RestHighLevelClient(builder);
        return restHighLevelClient;
    }

}

创建一个实体类

package com.thc.es;

import lombok.AllArgsConstructor;
import lombok.Data;
import lombok.NoArgsConstructor;
import lombok.ToString;
import org.springframework.data.annotation.Id;
import org.springframework.data.elasticsearch.annotations.Document;
import org.springframework.data.elasticsearch.annotations.Field;
import org.springframework.data.elasticsearch.annotations.FieldType;

@Data
@NoArgsConstructor
@AllArgsConstructor
@ToString
@Document(indexName = "product", shards = 3, replicas = 1)
public class Product {
    @Id
    private Long id;//商品唯一标识
    @Field(type = FieldType.Text)
    private String title;//商品名称
    @Field(type = FieldType.Keyword)
    private String category;//分类名称
    @Field(type = FieldType.Double)
    private Double price;//商品价格
    @Field(type = FieldType.Keyword, index = false)
    private String images;//图片地址
}

ProductDao类如下

package com.thc.es;

import org.springframework.data.elasticsearch.repository.ElasticsearchRepository;
import org.springframework.stereotype.Repository;

@Repository
public interface ProductDao extends ElasticsearchRepository {
}

编写测试类

package com.thc.es;

import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.data.elasticsearch.core.ElasticsearchRestTemplate;
import org.springframework.test.context.junit4.SpringRunner;

@RunWith(SpringRunner.class)
@SpringBootTest
public class SpringDataESIndexTest {
    @Autowired
    private ElasticsearchRestTemplate elasticsearchRestTemplate;

    //创建索引并增加映射配置
    @Test
    public void createIndex(){
        System.out.println("创建索引");
    }

    @Test
    public void deleteIndex(){
        //创建索引，系统初始化会自动创建索引
        boolean flg = elasticsearchRestTemplate.deleteIndex(Product.class);
        System.out.println("删除索引 = " + flg);
    }
}

第一个方法创建索引, 第二个方法 删除索引. 执行第一个方法后, 执行如下的get请求 http://127.0.0.1:9200/_cat/indices?v 可以看到成功创建了索引. 执行第二个方法, 删除索引. 再次查询, 可以看到此索引已删除.