01-ElasticSearch SpringBoot 整合

1、目录结构

目录结构

2、导入依赖

注意依赖版本和安装的版本一致

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<properties>
<java.version>1.8</java.version>
<!-- 统一版本 -->
<elasticsearch.version>7.6.1</elasticsearch.version>
</properties>

<dependencies>
<!-- 导入elasticsearch -->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-elasticsearch</artifactId>
</dependency>
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>fastjson</artifactId>
<version>1.2.70</version>
</dependency>
<!-- lombok需要安装插件 -->
<dependency>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
<optional>true</optional>
</dependency>
</dependencies>

3、创建并编写配置类

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@Configuration
public class ElasticSearchConfig {
// 注册 rest高级客户端
@Bean
public RestHighLevelClient restHighLevelClient(){
RestHighLevelClient client = new RestHighLevelClient(
RestClient.builder(
new HttpHost("127.0.0.1",9200,"http")
)
);
return client;
}
}

4、创建并编写实体类

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@Data
@NoArgsConstructor
@AllArgsConstructor
public class User implements Serializable {
private static final long serialVersionUID = -3843548915035470817L;
private String name;
private Integer age;
}

5、测试

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package com.flepeng.esspringboot;

import org.elasticsearch.action.admin.indices.delete.DeleteIndexRequest;
import org.elasticsearch.action.support.master.AcknowledgedRequest;
import org.elasticsearch.action.support.master.AcknowledgedResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.client.indices.CreateIndexRequest;
import org.elasticsearch.client.indices.CreateIndexResponse;
import org.elasticsearch.client.indices.GetIndexRequest;
import org.junit.jupiter.api.Test;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Qualifier;
import org.springframework.boot.test.context.SpringBootTest;

import java.io.IOException;

class SpringbootElasticsearchApplicationTests {

@Autowired
public RestHighLevelClient restHighLevelClient;

// 测试索引的创建, Request PUT liuyou_index
@Test
public void testCreateIndex() throws IOException {
// 创建索引请求
CreateIndexRequest request = new CreateIndexRequest("liuyou_index");
// 执行请求,获得相应
CreateIndexResponse response = restHighLevelClient.indices().create(request, RequestOptions.DEFAULT);
System.out.println(response.isAcknowledged());// 查看是否创建成功
System.out.println(response);// 查看返回对象
restHighLevelClient.close();
}

// 测试获取索引,并判断其是否存在
@Test
public void testIndexIsExists() throws IOException {
GetIndexRequest request = new GetIndexRequest("index");
boolean exists = restHighLevelClient.indices().exists(request, RequestOptions.DEFAULT);
System.out.println(exists);// 索引是否存在
restHighLevelClient.close();
}

// 测试索引删除
@Test
public void testDeleteIndex() throws IOException {
DeleteIndexRequest request = new DeleteIndexRequest("liuyou_index");
AcknowledgedResponse response = restHighLevelClient.indices().delete(request, RequestOptions.DEFAULT);
System.out.println(response.isAcknowledged());// 是否删除成功
restHighLevelClient.close();
}

// ================================================== 文档操作 ==================================================
// 测试添加文档(先创建一个User实体类,添加fastjson依赖)
@Test
public void testAddDocument() throws IOException {
// 创建一个User对象
User liuyou = new User("liuyou", 18);
// 创建请求
IndexRequest request = new IndexRequest("liuyou_index");
// 制定规则 PUT /liuyou_index/_doc/1
request.id("1");// 设置文档ID
request.timeout(TimeValue.timeValueMillis(1000));// request.timeout("1s")
// 将我们的数据放入请求中
request.source(JSON.toJSONString(liuyou), XContentType.JSON);
// 客户端发送请求,获取响应的结果
IndexResponse response = restHighLevelClient.index(request, RequestOptions.DEFAULT);
System.out.println(response.status());// 获取建立索引的状态信息 CREATED
System.out.println(response);// 查看返回内容 IndexResponse[index=liuyou_index,type=_doc,id=1,version=1,result=created,seqNo=0,primaryTerm=1,shards={"total":2,"successful":1,"failed":0}]
}

// 测试获得文档信息
@Test
public void testGetDocument() throws IOException {
GetRequest request = new GetRequest("liuyou_index","1");
GetResponse response = restHighLevelClient.get(request, RequestOptions.DEFAULT);
System.out.println(response.getSourceAsString());// 打印文档内容
System.out.println(request);// 返回的全部内容和命令是一样的
restHighLevelClient.close();
}

// 获取文档,判断是否存在 get /liuyou_index/_doc/1
@Test
public void testDocumentIsExists() throws IOException {
GetRequest request = new GetRequest("liuyou_index", "1");
// 不获取返回的 _source的上下文了
request.fetchSourceContext(new FetchSourceContext(false));
request.storedFields("_none_");
boolean exists = restHighLevelClient.exists(request, RequestOptions.DEFAULT);
System.out.println(exists);
}

// 测试更新文档内容
@Test
public void testUpdateDocument() throws IOException {
UpdateRequest request = new UpdateRequest("liuyou_index", "1");
User user = new User("lmk",11);
request.doc(JSON.toJSONString(user),XContentType.JSON);
UpdateResponse response = restHighLevelClient.update(request, RequestOptions.DEFAULT);
System.out.println(response.status()); // OK
restHighLevelClient.close();
}

// 测试删除文档
@Test
public void testDeleteDocument() throws IOException {
DeleteRequest request = new DeleteRequest("liuyou_index", "1");
request.timeout("1s");
DeleteResponse response = restHighLevelClient.delete(request, RequestOptions.DEFAULT);
System.out.println(response.status());// OK
}

// 查询
// SearchRequest 搜索请求
// SearchSourceBuilder 条件构造
// HighlightBuilder 高亮
// TermQueryBuilder 精确查询
// MatchAllQueryBuilder
// xxxQueryBuilder ...
@Test
public void testSearch() throws IOException {
// 1.创建查询请求对象
SearchRequest searchRequest = new SearchRequest();
// 2.构建搜索条件
SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
// (1)查询条件 使用QueryBuilders工具类创建
// 精确查询
TermQueryBuilder termQueryBuilder = QueryBuilders.termQuery("name", "liuyou");
// // 匹配查询
// MatchAllQueryBuilder matchAllQueryBuilder = QueryBuilders.matchAllQuery();
// (2)其他<可有可无>:(可以参考 SearchSourceBuilder 的字段部分)
// 设置高亮
searchSourceBuilder.highlighter(new HighlightBuilder());
// // 分页
// searchSourceBuilder.from();
// searchSourceBuilder.size();
searchSourceBuilder.timeout(new TimeValue(60, TimeUnit.SECONDS));
// (3)条件投入
searchSourceBuilder.query(termQueryBuilder);
// 3.添加条件到请求
searchRequest.source(searchSourceBuilder);
// 4.客户端查询请求
SearchResponse search = restHighLevelClient.search(searchRequest, RequestOptions.DEFAULT);
// 5.查看返回结果
SearchHits hits = search.getHits();
System.out.println(JSON.toJSONString(hits));
System.out.println("=======================");
for (SearchHit documentFields : hits.getHits()) {
System.out.println(documentFields.getSourceAsMap());
}
}

// 上面的这些api无法批量增加数据(只会保留最后一个source)
@Test
public void test() throws IOException {
IndexRequest request = new IndexRequest("bulk");// 没有id会自动生成一个随机ID
request.source(JSON.toJSONString(new User("liu",1)),XContentType.JSON);
request.source(JSON.toJSONString(new User("min",2)),XContentType.JSON);
request.source(JSON.toJSONString(new User("kai",3)),XContentType.JSON);
IndexResponse index = restHighLevelClient.index(request, RequestOptions.DEFAULT);
System.out.println(index.status());// created
}

// 特殊的,真的项目一般会 批量插入数据
@Test
public void testBulk() throws IOException {
BulkRequest bulkRequest = new BulkRequest();
bulkRequest.timeout("10s");
ArrayList<User> users = new ArrayList<>();
users.add(new User("liuyou-1",1));
users.add(new User("liuyou-2",2));
users.add(new User("liuyou-3",3));
users.add(new User("liuyou-4",4));
users.add(new User("liuyou-5",5));
users.add(new User("liuyou-6",6));
// 批量请求处理
for (int i = 0; i < users.size(); i++) {
bulkRequest.add(
// 这里是数据信息
new IndexRequest("bulk")
.id(""+(i + 1)) // 没有设置id 会自定生成一个随机id
.source(JSON.toJSONString(users.get(i)),XContentType.JSON)
);
}
BulkResponse bulk = restHighLevelClient.bulk(bulkRequest, RequestOptions.DEFAULT);
System.out.println(bulk.status());// ok
}

01-ElasticSearch SpringBoot 整合
https://flepeng.github.io/041-ElasticSearch-31-语法-01-ElasticSearch-SpringBoot-整合/
作者
Lepeng
发布于
2022年3月2日
许可协议