SpringBoot 集成 Elasticsearch

（给ImportNew加星标，提高Java技能）

作者：废物大师兄
www.cnblogs.com/cjsblog/p/9756978.html

1. 前言

1.1. 集成方式

Spring Boot中集成Elasticsearch有4种方式：

REST Client
Jest
Spring Data
Spring Data Elasticsearch Repositories

本文用后面两种方式来分别连接并操作Elasticsearch

1.2. 环境与配置

服务端：elasticsearch-6.3.2 1台
客户端：elasticsearch 6.4.1
服务端配置文件：elasticsearch.yml

cluster.name: my-application
network.host: 192.168.1.134
http.port: 9200

/etc/security/limits.conf

cheng soft nofile 65536
cheng hard nofile 65536

/etc/sysctl.conf

vm.max_map_count=262144

1.3. 版本

Spring Boot 2.0.5默认的elasticsearch版本很低，这里我们用最新版本6.4.1

如果启动过程中出现

java.lang.NoClassDefFoundError: org/elasticsearch/common/transport/InetSocketTransportAddress

则说明，elasticsearch依赖的jar包版本不一致，统一改成6.4.1即可

另外，Spring Boot 2.0.5依赖的spring-data-elasticsearch版本是3.0.1，需要升级到3.1.0

2. 依赖

"1.0" encoding="UTF-8"?>
"http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
    xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
    4.0.0

    com.cjs.example
    cjs-elasticsearch-example
    0.0.1-SNAPSHOT
    jar

    cjs-elasticsearch-example
    

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

    
        UTF-8
        UTF-8
        1.8

        6.4.1
        3.1.0.RELEASE
    

    
        
            org.elasticsearch
            


    
elasticsearch
            ${elasticsearch.version}
        
        
            org.elasticsearch.client
            transport
            ${elasticsearch.version}
        
        
            org.elasticsearch.client
            elasticsearch-rest-client
            ${elasticsearch.version}
        
        
            org.elasticsearch.plugin
            transport-netty4-client
            ${elasticsearch.version}
        
        
            org.springframework.data
            spring-data-elasticsearch
            ${spring.data.elasticsearch.version}
        
        
            org.springframework.boot
            spring-boot-starter-data-elasticsearch
        
        
            org.springframework.boot
            spring-boot-starter-web
        

        
            org.projectlombok
            lombok
            true
        
        
            org.springframework.boot
            spring-boot-starter-test
            test
        
    

    
        
            
                org.springframework.boot
                spring-boot-maven-plugin

3. application.properties

spring.data.elasticsearch.cluster-name=my-application
spring.data.elasticsearch.cluster-nodes=192.168.1.134:9300

也许，大家会疑惑，配置文件中明明写的端口是9200，为何这里配置文件中连接的时候写的端口是9300呢？

因为，配置9200是通过HTTP连接的端口，9300是TCP连接的端口

4. 操作

4.1. 使用Spring Data Elasticsearch Repositories操作Elasticsearch

首先，定义一个实体类

package com.cjs.example.entity;

import lombok.Data;
import org.springframework.data.annotation.Id;
import org.springframework.data.elasticsearch.annotations.Document;

import java.io.Serializable;

@Data
@Document(indexName = "commodity")
public class Commodity implements Serializable {

    @Id
    private String skuId;

    private String name;

    private String category;

    private Integer price;

    private String brand;

    private Integer stock;

}

这里定义了Commodity实例，表示商品。在Elasticsearch 6.X 版本中，不建议使用type，而且在7.X版本中将会彻底废弃type，所以此处我只指定了indexName，没有指定type。这里，一个Commodity代表一个商品，同时代表一条索引记录。

类比关系型数据库的话，Index相当于表，Document相当于记录

然后，需要自己定义一个接口，并继承ElasticsearchRepository

package com.cjs.example.dao;

import com.cjs.example.entity.Commodity;
import org.springframework.data.elasticsearch.repository.ElasticsearchRepository;
import org.springframework.stereotype.Repository;

@Repository
public interface CommodityRepository extends ElasticsearchRepository {

}

这里的Repository相当于DAO，操作mysql还是elasticsearch都是一样的

接下来，定义service接口

package com.cjs.example.service;

import com.cjs.example.entity.Commodity;
import org.springframework.data.domain.Page;

import java.util.List;




    
public interface CommodityService {

    long count();

    Commodity save(Commodity commodity);

    void delete(Commodity commodity);

    Iterable getAll();

    List getByName(String name);

    Page pageQuery(Integer pageNo, Integer pageSize, String kw);

}

实现类

package com.cjs.example.service.impl;

import com.cjs.example.entity.Commodity;
import com.cjs.example.dao.CommodityRepository;
import com.cjs.example.service.CommodityService;
import org.elasticsearch.index.query.MatchQueryBuilder;
import org.elasticsearch.index.query.QueryBuilders;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.domain.Page;
import org.springframework.data.domain.PageRequest;
import org.springframework.data.elasticsearch.core.query.NativeSearchQueryBuilder;
import org.springframework.data.elasticsearch.core.query.SearchQuery;
import org.springframework.stereotype.Service;

import java.util.ArrayList;
import java.util.List;

@Service
public class CommodityServiceImpl implements CommodityService {

    @Autowired
    private CommodityRepository commodityRepository;


    @Override
    public long count() {
        return commodityRepository.count();
    }

    @Override
    public Commodity save(Commodity commodity) {
        return commodityRepository.save(commodity);
    }

    @Override
    public void delete(Commodity commodity) {
        commodityRepository.delete(commodity);
//        commodityRepository.deleteById(commodity.getSkuId());
    }

    @Override
    public Iterable getAll() {
        return commodityRepository.findAll();
    }

    @Override
    public List getByName(String name) {
        List list = new ArrayList<>();
        MatchQueryBuilder matchQueryBuilder = new MatchQueryBuilder("name", name);
        Iterable iterable = commodityRepository.search(matchQueryBuilder);
        iterable.forEach(e->list.add(e));
        return list;
    }

    @Override
    public Page pageQuery(Integer pageNo, Integer pageSize, String kw) {
        SearchQuery searchQuery = new NativeSearchQueryBuilder()
                .withQuery(QueryBuilders.matchPhraseQuery("name", kw))
                .withPageable(PageRequest.of(pageNo, pageSize))
                .build();
        return commodityRepository.search(searchQuery);
    }


}

在这个Service中演示了增删查改操作，还有分页查询

最后，写一个测试类测试其中的方法




    
package com.cjs.example;

import com.cjs.example.entity.Commodity;
import com.cjs.example.service.CommodityService;
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.domain.Page;
import org.springframework.test.context.junit4.SpringRunner;

import java.util.List;

@RunWith(SpringRunner.class)
@SpringBootTest
public class CjsElasticsearchExampleApplicationTests {

    @Autowired
    private CommodityService commodityService;

    @Test
    public void contextLoads() {
        System.out.println(commodityService.count());
    }

    @Test
    public void testInsert() {
        Commodity commodity = new Commodity();
        commodity.setSkuId("1501009001");
        commodity.setName("原味切片面包（10片装）");
        commodity.setCategory("101");
        commodity.setPrice(880);
        commodity.setBrand("良品铺子");
        commodityService.save(commodity);

        commodity = new Commodity();
        commodity.setSkuId("1501009002");
        commodity.setName("原味切片面包（6片装）");
        commodity.setCategory("101");
        commodity.setPrice(680);
        commodity.setBrand("良品铺子");
        commodityService.save(commodity);

        commodity = new Commodity();
        commodity.setSkuId("1501009004");
        commodity.setName("元气吐司850g");
        commodity.setCategory("101");
        commodity.setPrice(120);
        commodity.setBrand("百草味");
        commodityService.save(commodity);

    }

    @Test
    public void testDelete() {
        Commodity commodity = new Commodity();
        commodity.setSkuId("1501009002");
        commodityService.delete(commodity);
    }

    @Test
    public void testGetAll() {
        Iterable iterable = commodityService.getAll();
        iterable.forEach(e->System.out.println(e.toString()));
    }

    @Test
    public void testGetByName() {
        List list = commodityService.getByName("面包");
        System.out.println(list);
    }

    @Test
    public void testPage() {
        Page page = commodityService.pageQuery(0, 10, "切片");
        System.out.println(page.getTotalPages());



    
        System.out.println(page.getNumber());
        System.out.println(page.getContent());
    }
}

以上，便是使用Elasticsearch Repositories的方式

4.2. 使用ElasticsearchTemplate方式操作Elasticsearch

package com.cjs.example;

import com.cjs.example.entity.Commodity;
import org.elasticsearch.index.query.QueryBuilders;
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.ElasticsearchTemplate;
import org.springframework.data.elasticsearch.core.query.*;
import org.springframework.test.context.junit4.SpringRunner;

import java.util.List;

@RunWith(SpringRunner.class)
@SpringBootTest
public class ElasticsearchTemplateTest {

    @Autowired
    public ElasticsearchTemplate elasticsearchTemplate;

    @Test
    public void testInsert() {
        Commodity commodity = new Commodity();
        commodity.setSkuId("1501009005");
        commodity.setName("葡萄吐司面包（10片装）");
        commodity.setCategory("101");
        commodity.setPrice(160);
        commodity.setBrand("良品铺子");

        IndexQuery indexQuery = new IndexQueryBuilder().withObject(commodity).build();
        elasticsearchTemplate.index(indexQuery);
    }

    @Test
    public void testQuery() {
        SearchQuery searchQuery = new NativeSearchQueryBuilder()
                .withQuery(QueryBuilders.matchQuery("name", "吐司"))
                .build();
        List list = elasticsearchTemplate.queryForList(searchQuery, Commodity.class);
        System.out.println(list);
    }

}

ElasticsearchTemplate是自动配置的

5. 演示

6. 工程结构

7. 参考

推荐阅读

（点击标题可跳转阅读）

查询亿级数据毫秒级返回！牛逼哄哄的 ElasticSearch 是如何做到的？

搜索引擎选开源的 ElasticSearch 还是商业的 Splunk

全文搜索引擎 Elasticsearch 入门

看完本文有收获？请转发分享给更多人

关注「ImportNew」，提升Java技能

好文章，我在看❤️