1.创建服务:mall-search

1.导入依赖

<!--指定版本-->
<properties>
    <elasticsearch.version>7.4.2</elasticsearch.version>
</properties>
<!--ES的依赖-->
<dependency>
    <groupId>org.elasticsearch.client</groupId>
    <artifactId>elasticsearch-rest-high-level-client</artifactId>
    <version>7.4.2</version>
</dependency>

2.编写配置文件

@Configuration
public class ElasticSearchConfig {

    //通用设置项
    public static final RequestOptions COMMON_OPTIONS;

    static {
        RequestOptions.Builder builder = RequestOptions.DEFAULT.toBuilder();
        COMMON_OPTIONS = builder.build();
    }

    @Bean
    public RestHighLevelClient esRestClient() {
        RestHighLevelClient client = new RestHighLevelClient(
                RestClient.builder(
                        new HttpHost("192.168.0.88", 9200, "http")
                )
        );
        return client;
    }
}

3.启动类去除数据库

@SpringBootApplication(exclude = {DataSourceAutoConfiguration.class})

image.png

4.配置application.yml

server:
  port: 12000

spring:
  application:
    name: mall-search
  cloud:
    nacos:
      discovery:
        server-addr: localhost:8848

5.测试使用

package com.yxw.gulimall.search;

import org.elasticsearch.client.RestHighLevelClient;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.test.context.junit4.SpringRunner;

import javax.annotation.Resource;

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

    @Resource
    private RestHighLevelClient client;

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

6.测试es完整代码

package com.yxw.gulimall.search;

import com.alibaba.fastjson.JSON;
import com.yxw.gulimall.search.config.ElasticSearchConfig;
import lombok.Data;
import lombok.ToString;
import org.elasticsearch.action.index.IndexRequest;
import org.elasticsearch.action.index.IndexResponse;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.common.xcontent.XContentType;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.aggregations.Aggregations;
import org.elasticsearch.search.aggregations.bucket.terms.Terms;
import org.elasticsearch.search.aggregations.bucket.terms.TermsAggregationBuilder;
import org.elasticsearch.search.aggregations.metrics.Avg;
import org.elasticsearch.search.aggregations.metrics.AvgAggregationBuilder;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.test.context.junit4.SpringRunner;

import javax.annotation.Resource;
import java.io.IOException;

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


    @Resource
    private RestHighLevelClient client;


    @ToString
    @Data
    static class Account {
        private int account_number;
        private int balance;
        private String firstname;
        private String lastname;
        private int age;
        private String gender;
        private String address;
        private String employer;
        private String email;
        private String city;
        private String state;
    }

    /**
     * 复杂检索:在bank中搜索address中包含mill的所有人的年龄分布以及平均年龄,平均薪资
     *
     * @throws IOException
     */
    @Test
    public void searchData() throws IOException {
        //1. 创建检索请求
        SearchRequest searchRequest = new SearchRequest();
        //1.1)指定索引
        searchRequest.indices("bank");
        //1.2)构造检索条件
        SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
        sourceBuilder.query(QueryBuilders.matchQuery("address", "Mill"));
        //1.2.1)按照年龄分布进行聚合
        TermsAggregationBuilder ageAgg = AggregationBuilders.terms("ageAgg").field("age").size(10);
        sourceBuilder.aggregation(ageAgg);
        //1.2.2)计算平均年龄
        AvgAggregationBuilder ageAvg = AggregationBuilders.avg("ageAvg").field("age");
        sourceBuilder.aggregation(ageAvg);
        //1.2.3)计算平均薪资
        AvgAggregationBuilder balanceAvg = AggregationBuilders.avg("balanceAvg").field("balance");
        sourceBuilder.aggregation(balanceAvg);
        System.out.println("检索条件:" + sourceBuilder);
        searchRequest.source(sourceBuilder);
        //2. 执行检索
        SearchResponse searchResponse = client.search(searchRequest, RequestOptions.DEFAULT);
        System.out.println("检索结果:" + searchResponse);
        //3. 将检索结果封装为Bean
        SearchHits hits = searchResponse.getHits();
        SearchHit[] searchHits = hits.getHits();
        for (SearchHit searchHit : searchHits) {
            String sourceAsString = searchHit.getSourceAsString();
            Account account = JSON.parseObject(sourceAsString, Account.class);
            System.out.println(account);
        }
        //4. 获取聚合信息
        Aggregations aggregations = searchResponse.getAggregations();
        Terms ageAgg1 = aggregations.get("ageAgg");
        for (Terms.Bucket bucket : ageAgg1.getBuckets()) {
            String keyAsString = bucket.getKeyAsString();
            System.out.println("年龄:" + keyAsString + " ==> " + bucket.getDocCount());
        }
        Avg ageAvg1 = aggregations.get("ageAvg");
        System.out.println("平均年龄:" + ageAvg1.getValue());
        Avg balanceAvg1 = aggregations.get("balanceAvg");
        System.out.println("平均薪资:" + balanceAvg1.getValue());
    }

    @Test
    public void indexData() throws IOException {
        IndexRequest indexRequest = new IndexRequest("users");
        indexRequest.id("1");
        User user = new User();
        user.setUserName("zhangsan");
        user.setAge(18);
        user.setGender("男");
        String jsonString = JSON.toJSONString(user);
        indexRequest.source(jsonString, XContentType.JSON);
        IndexResponse index = client.index(indexRequest, ElasticSearchConfig.COMMON_OPTIONS);
        System.out.println(index);

    }

    @Data
    class User {
        private String userName;
        private String gender;
        private Integer age;
    }

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

}




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