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})

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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