springboot初试elasticsearch
引入依赖
elasticsearch的依赖版本与你elasticsearch要一致
<dependency><groupId>org.elasticsearch.client</groupId><artifactId>elasticsearch-rest-high-level-client</artifactId>
</dependency>索引库的操作
创建索引库
import org.apache.http.HttpHost;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.client.RestClient;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.client.indices.CreateIndexRequest;
import org.elasticsearch.common.xcontent.XContentType;
import org.junit.jupiter.api.AfterEach;
import org.junit.jupiter.api.BeforeEach;
import org.junit.jupiter.api.Test;import java.io.IOException;public class HotelIndexTest {// 创建索引语句public static final String MAPPING_TEMPLATE = "{\n" +" \"mappings\": {\n" +" \"properties\": {\n" +" \"id\": {\n" +" \"type\": \"keyword\"\n" +" },\n" +" \"name\":{\n" +" \"type\": \"text\",\n" +" \"analyzer\": \"ik_max_word\",\n" +" \"copy_to\": \"all\"\n" +" },\n" +" \"address\":{\n" +" \"type\": \"keyword\",\n" +" \"index\": false\n" +" },\n" +" \"price\":{\n" +" \"type\": \"integer\"\n" +" },\n" +" \"score\":{\n" +" \"type\": \"integer\"\n" +" },\n" +" \"brand\":{\n" +" \"type\": \"keyword\",\n" +" \"copy_to\": \"all\"\n" +" },\n" +" \"city\":{\n" +" \"type\": \"keyword\",\n" +" \"copy_to\": \"all\"\n" +" },\n" +" \"starName\":{\n" +" \"type\": \"keyword\"\n" +" },\n" +" \"business\":{\n" +" \"type\": \"keyword\"\n" +" },\n" +" \"location\":{\n" +" \"type\": \"geo_point\"\n" +" },\n" +" \"pic\":{\n" +" \"type\": \"keyword\",\n" +" \"index\": false\n" +" },\n" +" \"all\":{\n" +" \"type\": \"text\",\n" +" \"analyzer\": \"ik_max_word\"\n" +" }\n" +" }\n" +" }\n" +"}";private RestHighLevelClient client;// 创建索引库@Testvoid createHotelIndex() throws IOException {// 1.创建Request对象CreateIndexRequest request = new CreateIndexRequest("hotel");// 2.准备请求的参数：DSL语句request.source(MAPPING_TEMPLATE, XContentType.JSON);// 3.发送请求client.indices().create(request, RequestOptions.DEFAULT);}// 初始化连接@BeforeEachvoid setUp() {this.client = new RestHighLevelClient(RestClient.builder(HttpHost.create("http://43.139.59.28:9200")));}// 关闭连接@AfterEachvoid tearDown() throws IOException {this.client.close();}
}查看索引库
删除索引库
@Testvoid testDeleteHotelIndex() throws IOException {// 1.创建Request对象DeleteIndexRequest request = new DeleteIndexRequest("hotel");// 2.发送请求client.indices().delete(request, RequestOptions.DEFAULT);}查看索引库
文档的操作
数据库实体类
数据库查询后的结果是一个Hotel类型的对象
import com.baomidou.mybatisplus.annotation.IdType;
import com.baomidou.mybatisplus.annotation.TableId;
import com.baomidou.mybatisplus.annotation.TableName;
import lombok.Data;@Data
@TableName("tb_hotel")
public class Hotel {@TableId(type = IdType.INPUT)private Long id;private String name;private String address;private Integer price;private Integer score;private String brand;private String city;private String starName;private String business;private String longitude;private String latitude;private String pic;
}
文档实体类
索引库查询后的结果是一个HotelDoc类型的对象，与Hotel不同在于横纵坐标的处理.
import lombok.Data;
import lombok.NoArgsConstructor;@Data
@NoArgsConstructor
public class HotelDoc {private Long id;private String name;private String address;private Integer price;private Integer score;private String brand;private String city;private String starName;private String business;private String location;private String pic;public HotelDoc(Hotel hotel) {this.id = hotel.getId();this.name = hotel.getName();this.address = hotel.getAddress();this.price = hotel.getPrice();this.score = hotel.getScore();this.brand = hotel.getBrand();this.city = hotel.getCity();this.starName = hotel.getStarName();this.business = hotel.getBusiness();// 合并横纵坐标this.location = hotel.getLatitude() + ", " + hotel.getLongitude();this.pic = hotel.getPic();}
}
新增文档
@Resourceprivate HotelService hotelService;@Testvoid testAddDocument() throws IOException {// 1.根据id查询酒店数据Hotel hotel = hotelService.getById(61083L);// 2.转换为文档类型HotelDoc hotelDoc = new HotelDoc(hotel);// 3.将HotelDoc转jsonString json = JSON.toJSONString(hotelDoc);// 1.准备Request对象IndexRequest request = new IndexRequest("hotel").id(hotelDoc.getId().toString());// 2.准备Json文档request.source(json, XContentType.JSON);// 3.发送请求client.index(request, RequestOptions.DEFAULT);}查询文档
@Testvoid testGetDocumentById() throws IOException {// 1.准备RequestGetRequest request = new GetRequest("hotel", "61083");// 2.发送请求，得到响应GetResponse response = client.get(request, RequestOptions.DEFAULT);// 3.解析响应结果String json = response.getSourceAsString();HotelDoc hotelDoc = JSON.parseObject(json, HotelDoc.class);System.out.println(hotelDoc);}结果
修改文档
修改我们讲过两种方式：
全量修改：本质是先根据id删除，再新增
增量修改：修改文档中的指定字段值
在RestClient的API中，全量修改与新增的API完全一致，这里不再赘述，我们主要关注增量修改
@Testvoid testUpdateDocument() throws IOException {// 1.准备RequestUpdateRequest request = new UpdateRequest("hotel", "61083");// 2.准备请求参数request.doc("price", "952","starName", "四钻");// 3.发送请求client.update(request, RequestOptions.DEFAULT);}查看文档
删除文档
@Testvoid testDeleteDocument() throws IOException {// 1.准备RequestDeleteRequest request = new DeleteRequest("hotel", "61083");// 2.发送请求client.delete(request, RequestOptions.DEFAULT);}查询61083文档
批量导入文档
利用BulkRequest批量将数据库数据导入到索引库中
@Testvoid testBulkRequest() throws IOException {// 批量查询酒店数据List<Hotel> hotels = hotelService.list();// 1.创建RequestBulkRequest request = new BulkRequest();// 2.准备参数，添加多个新增的Requestfor (Hotel hotel : hotels) {// 2.1.转换为文档类型HotelDocHotelDoc hotelDoc = new HotelDoc(hotel);// 2.2.创建新增文档的Request对象request.add(new IndexRequest("hotel").id(hotelDoc.getId().toString()).source(JSON.toJSONString(hotelDoc), XContentType.JSON));}// 3.发送请求client.bulk(request, RequestOptions.DEFAULT);}查看所有文档
@Testvoid testMatchAll() throws IOException {// 1.准备RequestSearchRequest request = new SearchRequest("hotel");// 2.准备DSLrequest.source().query(QueryBuilders.matchAllQuery());// 3.发送请求SearchResponse response = client.search(request, RequestOptions.DEFAULT);// 4.解析响应System.out.println(response);}结果
