1. 简介
1.1 Elasticsearch
Elasticsearch 是一个分布式、高扩展、高实时的搜索与数据分析引擎。它能很方便的使大量数据具有搜索、分析和探索的能力。充分利用Elasticsearch的水平伸缩性，能使数据在生产环境变得更有价值。Elasticsearch 的实现原理主要分为以下几个步骤，首先用户将数据提交到Elasticsearch 数据库中，再通过分词控制器去将对应的语句分词，将其权重和分词结果一并存入数据，当用户搜索数据时候，再根据权重将结果排名，打分，再将返回结果呈现给用户。
1.2 RestHighLevelClient
RestHighLevelClient 底层封装的是一个http连接池，当需要执行 update、index、delete操作时，直接从连接池中取出一个连接，然后发送http请求到ElasticSearch服务端，服务端基于Netty接收请求。
新版本的elasticsearch java client 都推荐用RestHighLevelClient去连接ES集群，放弃掉之前的transport client的方式。
2. 准备
注：spring boot工程
2.1 依赖
<dependencies>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-elasticsearch</artifactId>
</dependency>
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>druid-spring-boot-starter</artifactId>
<version>1.2.6</version>
</dependency>
<!-- fastjson ，json解析工具 -->
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>fastjson</artifactId>
<version>1.2.79</version>
</dependency>
<dependency>
<groupId>mysql</groupId>
<artifactId>mysql-connector-java</artifactId>
<version>8.0.27</version>
</dependency>
<dependency>
<groupId>com.baomidou</groupId>
<artifactId>mybatis-plus-boot-starter</artifactId>
<version>3.4.3</version>
</dependency>
<dependency>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
<optional>true</optional>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
<scope>test</scope>
</dependency>
<dependency>
<groupId>org.apache.commons</groupId>
<artifactId>commons-lang3</artifactId>
<version>3.8.1</version>
</dependency>
</dependencies>
2.2 配置文件
spring:
application:
name: es_test
datasource:
driver-class-name: com.mysql.cj.jdbc.Driver
url: jdbc:mysql://localhost:3306/es_test?serverTimezone=UTC&userUnicode=true&useSSL=false&
username: root
password: root # 修改
mybatis-plus:
configuration:
map-underscore-to-camel-case: true
type-aliases-package: com.king.pojo # 修改
2.3 配置类
package com.king.config;
import org.elasticsearch.client.RestHighLevelClient;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.elasticsearch.client.ClientConfiguration;
import org.springframework.data.elasticsearch.client.RestClients;
import org.springframework.data.elasticsearch.config.AbstractElasticsearchConfiguration;
/**
* @author King
* @version 1.0
* @description es配置
* @date 2023/8/25 14:29
*/
@Configuration
public class RestClientConfig extends AbstractElasticsearchConfiguration {
@Override
@Bean
public RestHighLevelClient elasticsearchClient() {
ClientConfiguration build = ClientConfiguration.builder().connectedTo("localhost:9200").build();
return RestClients.create(build).rest();
}
}
2.4 实体类
package com.king.pojo;
import com.baomidou.mybatisplus.annotation.IdType;
import com.baomidou.mybatisplus.annotation.TableId;
import com.baomidou.mybatisplus.annotation.TableField;
import com.baomidou.mybatisplus.annotation.TableName;
import lombok.Data;
@Data
@TableName("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;
@TableField(exist = false)
private Map<String,String> location;
}
2.5 sql文件
/*
Navicat Premium Data Transfer
Source Server : localhost_3306
Source Server Type : MySQL
Source Server Version : 50540
Source Host : localhost:3306
Source Schema : es_test
Target Server Type : MySQL
Target Server Version : 50540
File Encoding : 65001
Date: 26/08/2023 16:35:24
*/
SET NAMES utf8mb4;
SET FOREIGN_KEY_CHECKS = 0;
-- ----------------------------
-- Table structure for hotel
-- ----------------------------
DROP TABLE IF EXISTS `hotel`;
CREATE TABLE `hotel` (
`id` bigint(20) NOT NULL COMMENT '酒店id',
`name` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NOT NULL COMMENT '酒店名称',
`address` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NOT NULL COMMENT '酒店地址',
`price` int(10) NOT NULL COMMENT '酒店价格',
`score` int(2) NOT NULL COMMENT '酒店评分',
`brand` varchar(32) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NOT NULL COMMENT '酒店品牌',
`city` varchar(32) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NOT NULL COMMENT '所在城市',
`star_name` varchar(16) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '酒店星级，1星到5星，1钻到5钻',
`business` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '商圈',
`latitude` varchar(32) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NOT NULL COMMENT '纬度',
`longitude` varchar(32) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NOT NULL COMMENT '经度',
`pic` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '酒店图片',
PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8mb4 COLLATE = utf8mb4_general_ci ROW_FORMAT = COMPACT;
-- ----------------------------
-- Records of hotel
-- ----------------------------
INSERT INTO `hotel` VALUES (36934, '7天连锁酒店(上海宝山路地铁站店)', '静安交通路40号', 336, 37, '7天酒店', '上海', '二钻', '四川北路商业区', '31.251433', '121.47522', 'https://m.tuniucdn.com/fb2/t1/G1/M00/3E/40/Cii9EVkyLrKIXo1vAAHgrxo_pUcAALcKQLD688AAeDH564_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (38609, '速8酒店(上海赤峰路店)', '广灵二路126号', 249, 35, '速8', '上海', '二钻', '四川北路商业区', '31.282444', '121.479385', 'https://m.tuniucdn.com/fb2/t1/G2/M00/DF/96/Cii-TFkx0ImIQZeiAAITil0LM7cAALCYwKXHQ4AAhOi377_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (38665, '速8酒店上海中山北路兰田路店', '兰田路38号', 226, 35, '速8', '上海', '二钻', '长风公园地区', '31.244288', '121.422419', 'https://m.tuniucdn.com/fb2/t1/G2/M00/EF/86/Cii-Tlk2mV2IMZ-_AAEucgG3dx4AALaawEjiycAAS6K083_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (38812, '7天连锁酒店(上海漕溪路地铁站店)', '徐汇龙华西路315弄58号', 298, 37, '7天酒店', '上海', '二钻', '八万人体育场地区', '31.174377', '121.442875', 'https://m.tuniucdn.com/fb2/t1/G2/M00/E0/0E/Cii-TlkyIr2IEWNoAAHQYv7i5CkAALD-QP2iJwAAdB6245_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (39106, '7天连锁酒店（上海莘庄地铁站店）', '闵行莘庄镇七莘路299号', 348, 41, '7天酒店', '上海', '二钻', '莘庄工业区', '31.113812', '121.375869', 'https://m.tuniucdn.com/fb2/t1/G2/M00/D8/11/Cii-T1ku2zGIGR7uAAF1NYY9clwAAKxZAHO8HgAAXVN368_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (39141, '7天连锁酒店(上海五角场复旦同济大学店)', '杨浦国权路315号', 349, 38, '7天酒店', '上海', '二钻', '江湾、五角场商业区', '31.290057', '121.508804', 'https://m.tuniucdn.com/fb2/t1/G2/M00/C7/E3/Cii-T1knFXCIJzNYAAFB8-uFNAEAAKYkQPcw1IAAUIL012_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (45845, '上海西藏大厦万怡酒店', '虹桥路100号', 589, 45, '万怡', '上海', '四钻', '徐家汇地区', '31.192714', '121.434717', 'https://m.tuniucdn.com/fb3/s1/2n9c/48GNb9GZpJDCejVAcQHYWwYyU8T_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (45870, '上海临港豪生大酒店', '新元南路555号', 896, 45, '豪生', '上海', '四星级', '滴水湖临港地区', '30.871729', '121.81959', 'https://m.tuniucdn.com/fb3/s1/2n9c/2F5HoQvBgypoDUE46752ppnQaTqs_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (46829, '上海浦西万怡酒店', '恒丰路338号', 726, 46, '万怡', '上海', '四钻', '上海火车站地区', '31.242977', '121.455864', 'https://m.tuniucdn.com/fb3/s1/2n9c/x87VCoyaR8cTuYFZmKHe8VC6Wk1_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (47066, '上海浦东东站华美达酒店', '施新路958号', 408, 46, '华美达', '上海', '四钻', '浦东机场核心区', '31.147989', '121.759199', 'https://m.tuniucdn.com/fb3/s1/2n9c/2pNujAVaQbXACzkHp8bQMm6zqwhp_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (47478, '速8酒店(上海松江中心店)', '松江荣乐东路677号', 428, 35, '速8', '上海', '二钻', '佘山、松江大学城', '31.016712', '121.261606', 'https://m.tuniucdn.com/filebroker/cdn/res/07/36/073662e1718fccefb7130a9da44ddf5c_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (56201, '上海齐鲁万怡大酒店', '东方路838号', 873, 44, '万怡', '上海', '四星级', '浦东陆家嘴金融贸易区', '31.226031', '121.525801', 'https://m.tuniucdn.com/fb2/t1/G6/M00/52/B6/Cii-TF3eXKeIJeN7AASiKHbTtx4AAGRegDSBzMABKJA111_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (56214, '上海浦东华美达大酒店', '新金桥路18号', 830, 45, '华美达', '上海', '四星级', '浦东金桥地区', '31.244916', '121.590752', 'https://m.tuniucdn.com/fb3/s1/2n9c/3jtXiuMKZEXJAuKuAkc47yLCjUBt_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (56227, '上海圣淘沙万怡酒店', '南桥镇南桥路1号', 899, 45, '万怡', '上海', '四星级', '奉贤开发区', '30.910917', '121.456525', 'https://m.tuniucdn.com/fb2/t1/G6/M00/52/B9/Cii-U13eXSiIdJjXAARSA6FywFYAAGRnwHvy1AABFIb158_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (56392, '上海银星皇冠假日酒店', '番禺路400号', 809, 47, '皇冠假日', '上海', '五星级', '徐家汇地区', '31.202768', '121.429524', 'https://m.tuniucdn.com/fb3/s1/2n9c/37ucQ38K3UFdcRqntJ8M5dt884HR_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (56852, '上海财大豪生大酒店', '武东路188号', 592, 46, '豪生', '上海', '五钻', '江湾/五角场商业区', '31.304182', '121.492936', 'https://m.tuniucdn.com/fb3/s1/2n9c/2jGHezLZvPZqC9cBGesbP5vAhCXi_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (56912, '上海华凯华美达广场酒店', '月华路9号', 747, 40, '华美达', '上海', '四钻', '奉贤开发区', '30.814382', '121.464521', 'https://m.tuniucdn.com/fb3/s1/2n9c/45iaCNCuZavJTxwTLskhVKzwynLD_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (56977, '上海五角场华美达大酒店', '黄兴路1888号', 499, 40, '华美达', '上海', '三钻', '江湾/五角场商业区', '31.292932', '121.519759', 'https://m.tuniucdn.com/fb3/s1/2n9c/26VREqAQdaGFvJdAJALVtjxcNMpL_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (60214, '上海金茂君悦大酒店', '世纪大道88号（54楼办理入住）', 699, 46, '君悦', '上海', '五星级', '浦东陆家嘴金融贸易区', '31.235152', '121.506082', 'https://m.tuniucdn.com/fb3/s1/2n9c/7Azm3jvGUHuXe3eS1DrixAWVTXY_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (60223, '上海希尔顿酒店', '静安华山路250号', 2688, 37, '希尔顿', '上海', '五星级', '静安寺地区', '31.219306', '121.445427', 'https://m.tuniucdn.com/filebroker/cdn/res/92/10/9210e74442aceceaf6e196d61fc3b6b1_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (60359, '上海外高桥皇冠假日酒店', '杨高北路1000号', 3299, 46, '皇冠假日', '上海', '五星级', '浦东外高桥地区', '31.338944', '121.590611', 'https://m.tuniucdn.com/fb3/s1/2n9c/VcKUM9zUSiVgDhFioc6mWQoX9ES_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (60363, '上海新世界丽笙大酒店', '南京西路88号', 1341, 46, '丽笙', '上海', '五星级', '人民广场地区', '31.23462', '121.47327', 'https://m.tuniucdn.com/fb3/s1/2n9c/2j31b7X3YzGkf4Li3phS6TG1mtwm_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (60398, '上海复旦皇冠假日酒店', '邯郸路199号', 924, 47, '皇冠假日', '上海', '五星级', '江湾/五角场商业区', '31.295382', '121.502537', 'https://m.tuniucdn.com/fb3/s1/2n9c/2H1Gk8LHaBWZfYvR6NYYcGTvACmL_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (60487, '上海外滩茂悦大酒店', '黄浦路199号', 689, 44, '君悦', '上海', '五星级', '外滩地区', '31.245409', '121.492969', 'https://m.tuniucdn.com/fb3/s1/2n9c/2Swp2h1fdj9zCUKsk63BQvVgKLTo_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (60522, '上海嘉豪淮海国际豪生酒店', '汾阳路1号', 425, 45, '豪生', '上海', '四钻', '淮海路/新天地地区', '31.215497', '121.456297', 'https://m.tuniucdn.com/fb3/s1/2n9c/38UBi4QYuaF8jN94CxQ7tb7tjtmZ_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (60916, '上海绿地万怡酒店', '沪宜公路3101号', 328, 45, '万怡', '上海', '四钻', '嘉定新城', '31.368523', '121.258567', 'https://m.tuniucdn.com/fb3/s1/2n9c/3VLwG9tTQQnp3M3MTeMTdx9nas9B_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (60922, '上海虹桥祥源希尔顿酒店', '红松东路1116号', 1108, 45, '希尔顿', '上海', '五钻', '虹桥地区', '31.18746', '121.395312', 'https://m.tuniucdn.com/fb3/s1/2n9c/tQRqDTFkHnHzMZiDKjcGV81ekvc_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (60935, '上海虹口三至喜来登酒店', '四平路59号', 1899, 46, '喜来登', '上海', '五星级', '四川北路商业区', '31.2579', '121.487954', 'https://m.tuniucdn.com/fb3/s1/2n9c/3C3gxLxLjVwnkxJwJm8rd3f38kcd_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (61075, '上海雅居乐万豪酒店', '西藏中路555号', 1152, 46, '万豪', '上海', '五钻', '人民广场地区', '31.236681', '121.473529', 'https://m.tuniucdn.com/fb3/s1/2n9c/3FoT16PkXavKsssvktVvVq5Si6Cr_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (61083, '上海滴水湖皇冠假日酒店', '自由贸易试验区临港新片区南岛1号', 971, 44, '皇冠假日', '上海', '五钻', '滴水湖临港地区', '30.890867', '121.937241', 'https://m.tuniucdn.com/fb3/s1/2n9c/312e971Rnj9qFyR3pPv4bTtpj1hX_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (309208, '北京王府井希尔顿酒店', '王府井东街8号', 1679, 46, '希尔顿', '北京', '五钻', '天安门/王府井地区', '39.914539', '116.413392', 'https://m.tuniucdn.com/fb2/t1/G6/M00/52/10/Cii-TF3ePt2IX9UEAALb6VYBSmoAAGKMgGsuW8AAtwB147_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (394559, '北京东方君悦大酒店', '长安街1号东方广场', 686, 45, '君悦', '北京', '五星级', '天安门/王府井地区', '39.909635', '116.414621', 'https://m.tuniucdn.com/fb3/s1/2n9c/3mFqcNSh7eEo9yc3Rw2P5HDNTdDe_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (394617, '北京宝辰饭店', '建国门内大街甲18号', 418, 44, '豪生', '北京', '四星级', '北京站/建国门地区', '39.905768', '116.428153', 'https://m.tuniucdn.com/fb3/s1/2n9c/NEYa6EfDHuhhb19Ct85WBbkKHZU_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (394796, '北京新云南皇冠假日酒店', '东北三环西坝河太阳宫桥东北角云南大厦', 485, 46, '皇冠假日', '北京', '五星级', '国展中心地区', '39.972409', '116.434698', 'https://m.tuniucdn.com/fb3/s1/2n9c/dfP8K782eTsohQWSRdkd7St9LA2_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (395434, '北京希尔顿酒店', '东三环北路东方路1号', 350, 45, '希尔顿', '北京', '五星级', '燕莎/朝阳公园商业区', '39.952703', '116.462387', 'https://m.tuniucdn.com/fb3/s1/2n9c/3fwNbKGhk6XCrkdVyxwhC5uGpLVy_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (395702, '北京首都机场希尔顿酒店', '首都机场3号航站楼三经路1号', 222, 46, '希尔顿', '北京', '五钻', '首都机场/新国展地区', '40.048969', '116.619566', 'https://m.tuniucdn.com/fb2/t1/G6/M00/52/10/Cii-U13ePtuIMRSjAAFZ58NGQrMAAGKMgADZ1QAAVn_167_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (395787, '北京海航大厦万豪酒店', '霄云路甲26号', 1302, 46, '万豪', '北京', '五钻', '燕莎/朝阳公园商业区', '39.959861', '116.467363', 'https://m.tuniucdn.com/fb3/s1/2n9c/3zFiWi2C9SmbcQwCZgJFQC9ahvs5_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (395799, '北京国际艺苑皇冠假日酒店', '王府井大街48号', 636, 44, '皇冠假日', '北京', '五星级', '天安门/王府井地区', '39.918994', '116.411277', 'https://m.tuniucdn.com/fb2/t1/G6/M00/52/10/Cii-U13ePvyIahjPAAMykV278aEAAGKOQO9e4UAAzKp283_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (395815, '北京明豪华美达酒店', '天竺镇府前一街13号', 558, 46, '华美达', '北京', '四钻', '首都机场/新国展地区', '40.062832', '116.580678', 'https://m.tuniucdn.com/fb2/t1/G6/M00/52/13/Cii-U13eP2mIKCwvAAODTZXT-fAAAGKVAA9taIAA4Nl245_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (396189, '北京朝阳悠唐皇冠假日酒店', '三丰北里3号', 944, 46, '皇冠假日', '北京', '五钻', '三里屯/工体/东直门地区', '39.92129', '116.43847', 'https://m.tuniucdn.com/fb3/s1/2n9c/tT6ipLain1ZovR5gnQ7tJ4KKym5_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (396471, '维也纳酒店（北京花园路店）', '海淀北太平庄花园路甲17号', 381, 36, '维也纳', '北京', '三钻', '马甸、安贞地区', '39.970837', '116.365244', 'https://m.tuniucdn.com/filebroker/cdn/res/17/00/1700926908bae6ba3e5ef96de7b7d4cc_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (396506, '北京金隅喜来登酒店', '北三环东路36号', 357, 47, '喜来登', '北京', '五星级', '马甸/安贞地区', '39.967163', '116.4099', 'https://m.tuniucdn.com/fb3/s1/2n9c/29FW2WtGzzUtPhWR1LKxcFZAVa9P_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (413460, '7天连锁酒店(北京天坛店)', '东城天坛东里甲48号', 753, 38, '7天酒店', '北京', '二钻', '前门、崇文门商贸区', '39.875786', '116.421987', 'https://m.tuniucdn.com/fb2/t1/G2/M00/C7/D8/Cii-T1knCK6IWTtxAAI0plLButMAAKYTAJu-woAAjS-422_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (413476, '7天连锁酒店(北京南站店)', '丰台马家堡西路22号', 478, 37, '7天酒店', '北京', '二钻', '永定门、南站、大红门、南苑地区', '39.845363', '116.372327', 'https://m.tuniucdn.com/fb2/t1/G1/M00/26/B7/Cii-U1knCtaISM4VAAHkEQd-mrAAAKw0ALVCwEAAeQp741_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (414168, '7天连锁酒店(北京西直门店)', '西城平安里西大街翠花街育幼胡同甲20-22号', 419, 37, '7天酒店', '北京', '二钻', '西单、金融街地区', '39.931338', '116.364982', 'https://m2.tuniucdn.com/filebroker/cdn/res/bc/66/bc666859edf4fc072a8006c66758058d_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (414481, '7天连锁酒店(北京团结湖地铁站店)', '朝阳团结湖北里9号楼', 525, 36, '7天酒店', '北京', '二钻', '燕莎、三里屯商业区', '39.928457', '116.466132', 'https://m.tuniucdn.com/fb2/t1/G1/M00/38/2D/Cii9EFkv2-uIPTaBAALX6P-rbdUAALPpwHv4ykAAtgA277_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (414698, '7天连锁酒店（北京798艺术区店）', '朝阳北京市朝阳区酒仙桥北路（798艺术区北门）彩虹路6号-电通创意广场大院内', 553, 37, '7天酒店', '北京', '二钻', '望京、酒仙桥、798地区', '39.990671', '116.498452', 'https://m.tuniucdn.com/fb2/t1/G2/M00/D8/11/Cii-T1ku2zqIN7SiAAEdvT6RrjUAAKxZQKFooYAAR3V090_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (415600, '如家酒店(北京朝阳北路传媒大学褡裢坡地铁站店)', '三间房乡褡裢坡村青年沟西侧558号', 259, 47, '如家', '北京', '二钻', '传媒大学/管庄地区', '39.923212', '116.560023', 'https://m.tuniucdn.com/fb3/s1/2n9c/3NezpxNZWQMdNXibwbMkQuAZjDyJ_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (415659, '7天连锁酒店（北京紫竹桥店）', '海淀北洼路甲3号', 781, 42, '7天酒店', '北京', '二钻', '西直门及北京展览馆地区', '39.936138', '116.302405', 'https://m.tuniucdn.com/fb2/t1/G1/M00/3C/22/Cii9EVkxPMqIZJz-AAIh0esETAIAALXbgNQkH8AAiHp053_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (416121, '如家酒店(北京西客站北广场店)', '莲花池东路120-2号6层', 275, 43, '如家', '北京', '二钻', '北京西站/丽泽商务区', '39.896449', '116.317382', 'https://m.tuniucdn.com/fb3/s1/2n9c/42DTRnKbiYoiGFVzrV9ZJUxNbvRo_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (416260, '7天连锁酒店(北京通州八里桥店)', '永顺镇西马庄小区', 534, 38, '7天酒店', '北京', '二钻', '果园环岛、通州区', '39.915443', '116.631871', 'https://m.tuniucdn.com/fb2/t1/G2/M00/DF/5A/Cii-TlkxkeGIKM0oAAGOb64RvToAALBAAH9Fg8AAY6H201_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (416268, '和颐酒店(北京传媒大学财满街店)', '朝阳路高井176号', 524, 46, '和颐', '北京', '三钻', '国贸地区', '39.918277', '116.53015', 'https://m.tuniucdn.com/fb2/t1/G6/M00/52/13/Cii-TF3eP5GIJIOLAAUwsIVCxdAAAGKXgK5a0IABTDI239_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (416307, '速8酒店(北京新国展首都机场后沙峪店)', '后沙峪镇裕民大街32号', 350, 39, '速8', '北京', '二钻', '首都机场/新国展地区', '40.099019', '116.543655', 'https://m.tuniucdn.com/fb2/t1/G6/M00/52/3E/Cii-TF3eRgGIHCkKAAP_ATvriiQAAGL0AIoLtUAA_8Z513_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (432335, '7天连锁酒店(上海北外滩国际客运中心地铁站店)', '唐山路145号', 249, 35, '7天酒店', '上海', '二钻', '北外滩地区', '31.252585', '121.498753', 'https://m2.tuniucdn.com/filebroker/cdn/res/c1/ba/c1baf64418437c56617f89840c6411ef_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (433576, '如家酒店(上海南京路步行街店)', '南京东路480号保安坊内', 379, 44, '如家', '上海', '二钻', '人民广场地区', '31.236454', '121.480948', 'https://m.tuniucdn.com/fb2/t1/G6/M00/52/BA/Cii-U13eXVaIQmdaAAWxgzdXXxEAAGRrgNIOkoABbGb143_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (434082, '如家酒店·neo(上海外滩城隍庙小南门地铁站店)', '复兴东路260号', 392, 44, '如家', '上海', '二钻', '豫园地区', '31.220706', '121.498769', 'https://m.tuniucdn.com/fb2/t1/G6/M00/52/B6/Cii-U13eXLGIdHFzAAIG-5cEwDEAAGRfQNNIV0AAgcT627_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (441836, '如家酒店(北京国展三元桥店)', '西坝河东里36号', 458, 47, '如家', '北京', '二钻', '国展中心地区', '39.966238', '116.450142', 'https://m.tuniucdn.com/fb2/t1/G6/M00/52/39/Cii-TF3eRTGITp1UAAYIilRD7skAAGLngIuAnQABgii479_w200_h200_c1_t0.png');
INSERT INTO `hotel` VALUES (485775, '如家酒店(上海闵行华东师范大学吴泾店)', '吴泾镇宝秀路977号', 161, 45, '如家', '上海', '二钻', '交大/闵行经济开发区', '31.047135', '121.46224', 'https://m.tuniucdn.com/fb3/s1/2n9c/V8pz15CkiMX5xYJRmbbp5zkKWJ8_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (489756, '7天连锁酒店(北京平谷店)', '文化北街4-16号', 544, 40, '7天酒店', '北京', '二钻', '平谷城区', '40.14308', '117.111554', 'https://m2.tuniucdn.com/filebroker/cdn/res/2e/b4/2eb4edb22ddb981307d8570beb1d746d_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (517915, '如家酒店·neo(深圳草埔地铁站店)', '布吉路1036号', 159, 44, '如家', '深圳', '二钻', '田贝/水贝珠宝城', '22.583191', '114.118499', 'https://m.tuniucdn.com/fb3/s1/2n9c/228vhBCQmFRFWQBYX1cgoFQb6x58_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (527938, '深圳好日子皇冠假日酒店', '福华一路28号', 590, 46, '皇冠假日', '深圳', '五星级', '会展中心/CBD', '22.537153', '114.053529', 'https://m.tuniucdn.com/fb3/s1/2n9c/b6Ztz5jn4MngK3Hzfxuu9JGsjrm_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (541619, '如家酒店(上海莘庄地铁站龙之梦商业广场店)', '莘庄镇莘浜路172号', 149, 44, '如家', '上海', '二钻', '莘庄工业区', '31.105797', '121.37755', 'https://m.tuniucdn.com/fb3/s1/2n9c/3mKs3jETvJDj3dDdkRB9UyLLvPna_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (542068, '上海茂业华美达广场酒店', '沪南路938号', 646, 40, '华美达', '上海', '三钻', '浦东新国际博览中心', '31.182761', '121.554106', 'https://m.tuniucdn.com/fb3/s1/2n9c/2139uDFUZ2VKxrathwSeeE4DwyFU_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (546869, '深圳彭年万丽酒店', '嘉宾路2002号（毗邻金光华购物广场）', 701, 46, '万丽', '深圳', '五钻', '罗湖口岸/火车站', '22.540989', '114.122665', 'https://m.tuniucdn.com/fb3/s1/2n9c/gwAbqEXFUpjUBmnxUfK89p3zBBT_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (581859, '维也纳酒店（北京丰益桥店）（原申晨酒店）', '丰台丰管路8号', 648, 45, '维也纳', '北京', '三钻', '北京西站、丽泽商务区', '39.857707', '116.312482', 'https://m2.tuniucdn.com/filebroker/cdn/res/97/43/97438481b9e79abad429e5c30d7f303f_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (584697, '7天连锁酒店（深圳华强赛格广场店）', '华强南路3024号赛格苑1栋', 362, 36, '7天酒店', '深圳', '二钻', '华强北商业区', '22.539831', '114.087899', 'https://m.tuniucdn.com/fb2/t1/G2/M00/D8/11/Cii-T1ku2zmIcP4sAAEw8iuLXFgAAKxZQH7HVYAATEK972_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (593228, '7天连锁酒店（北京颐和园店）', '海淀厢红旗路功德寺桥北侧', 730, 38, '7天酒店', '北京', '二钻', '香山、八大处风景区', '40.003959', '116.256718', 'https://m2.tuniucdn.com/filebroker/cdn/res/55/84/55841f502c5a711e66dd5454b64f559b_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (598591, '上海丽昂豪生大酒店', '金新路99号', 529, 47, '豪生', '上海', '四钻', '浦东金桥地区', '31.252496', '121.600085', 'https://m.tuniucdn.com/fb3/s1/2n9c/2KfPPyPx9rWyVXif2CUuxv61Nryc_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (607915, '汉庭酒店(深圳皇岗店)', '滨河大道6033号海滨广场国皇大厦3楼', 313, 42, '汉庭', '深圳', '二钻', '皇岗口岸/福田口岸', '22.528101', '114.064221', 'https://m.tuniucdn.com/fb3/s1/2n9c/qMyCJVYuW21nsCeEBt8CMfmEhra_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (608374, '如家酒店(上海浦东机场龙东大道合庆店)', '东川公路5863号', 160, 45, '如家', '上海', '二钻', '浦东机场核心区', '31.237662', '121.718556', 'https://m.tuniucdn.com/fb3/s1/2n9c/LUYxGGV4pzjKeN5a69K4deU8JD8_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (609023, '如家酒店·neo(上海外高桥保税区北地铁站店)', '花山路1209号', 266, 45, '如家', '上海', '二钻', '浦东外高桥地区', '31.351148', '121.585606', 'https://m.tuniucdn.com/fb3/s1/2n9c/3cJ6KTfms9cfEnME8WRkQQBXBkYm_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (609372, '豪派特华美达广场酒店(深圳北站店)', '民治街道梅龙路与民旺路交汇处', 498, 45, '华美达', '深圳', '四钻', '深圳北站地区', '22.620501', '114.033874', 'https://m.tuniucdn.com/fb3/s1/2n9c/3G5TnUCPbjGYHAVWfvuixw8bs69t_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (624417, '深圳君悦酒店', '宝安南路1881号', 442, 47, '君悦', '深圳', '五钻', '万象城/京基100', '22.537247', '114.111182', 'https://m.tuniucdn.com/fb2/t1/G6/M00/45/EA/Cii-TF3ZpVmIVDJ9AAXvJftz_AgAAFrrQKbI4oABe89086_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (628327, '如家酒店·neo(深圳罗湖口岸国贸地铁站店)', '人民南路2011号', 223, 45, '如家', '深圳', '二钻', '罗湖口岸/火车站', '22.536734', '114.118336', 'https://m.tuniucdn.com/fb3/s1/2n9c/2rKHmQWHYiY8GZA3xBHpFKCLZwZo_w200_h200_c1_t0.png');
INSERT INTO `hotel` VALUES (629023, '和颐酒店(北京十里河欢乐谷店)', '十八里店乡周家庄288号', 390, 47, '和颐', '北京', '四钻', '劲松/潘家园地区', '39.853354', '116.483437', 'https://m.tuniucdn.com/fb3/s1/2n9c/28hnDdqn5uzuzCKYkw2x4pYmunXM_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (629729, '7天连锁酒店(上海张江高科园区店)', '浦东新区蔡伦路103号', 267, 36, '7天酒店', '上海', '二钻', '浦东张江地区', '31.196154', '121.62071', 'https://m2.tuniucdn.com/filebroker/cdn/res/d9/61/d961508a10865b9b29c033064f31b913_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (635963, '深圳龙岗珠江皇冠假日酒店', '龙岗中心城龙翔大道9009号珠江广场', 737, 46, '皇冠假日', '深圳', '五星级', '龙岗中心区/大运新城', '22.722941', '114.250002', 'https://m.tuniucdn.com/fb2/t1/G6/M00/45/EA/Cii-U13ZpWGIasKjAAY1SNE36KMAAFrrwMNoAwABjVg973_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (636080, '深圳大中华喜来登酒店', '福华路一号大中华国际交易广场', 1556, 47, '喜来登', '深圳', '五星级', '会展中心/CBD', '22.535567', '114.062005', 'https://m.tuniucdn.com/fb3/s1/2n9c/3hQRTmAUW9PegTjxMiEfYwh2HnKp_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (644417, '上海外高桥喜来登酒店', '自由贸易试验区基隆路28号（二号门内）', 2419, 46, '喜来登', '上海', '五钻', '浦东外高桥地区', '31.350989', '121.588751', 'https://m.tuniucdn.com/fb3/s1/2n9c/1Rrtg9n7PdMEivVDhsehbJBrEre_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (648219, '上海金桥红枫万豪酒店', '新金桥路15号', 891, 47, '万豪', '上海', '五钻', '浦东金桥地区', '31.244061', '121.591153', 'https://m.tuniucdn.com/fb2/t1/G6/M00/52/B6/Cii-TF3eXKuIR_a0AAUx-Xd2JLQAAGRfACSpvUABTIR560_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (657192, '深圳宝安中天美景华美达酒店', '新桥街道万丰社区中心路7-1号', 498, 45, '华美达', '深圳', '四钻', '深圳国际会展中心商圈', '22.716473', '113.826391', 'https://m.tuniucdn.com/fb2/t1/G6/M00/45/EA/Cii-U13ZpVeIRbhTAAOzGZSDtlcAAFrrQEWM-AAA7Mx626_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (659496, '维也纳酒店(深圳国王店)', '龙华新区龙华龙观西路95号', 714, 37, '维也纳', '深圳', '三钻', '深圳北站地区', '22.65892', '114.006817', 'https://m2.tuniucdn.com/filebroker/cdn/res/b4/76/b476cacc575a7ff237128ba2fd63923a_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (670673, '北京龙城华美达酒店', '昌平路319号', 506, 45, '华美达', '北京', '四钻', '回龙观/天通苑地区', '40.084219', '116.304313', 'https://m.tuniucdn.com/fb3/s1/2n9c/T3WruZV3S4MfcxdD1HFVhZjaBLW_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (672207, '和颐至尊酒店(北京望京798店)', '酒仙桥北路9号荧屏里4号楼', 579, 44, '和颐', '北京', '四钻', '望京/酒仙桥/798地区', '39.98835', '116.491217', 'https://m.tuniucdn.com/fb3/s1/2n9c/2y56zwK8kd2tBuRUyF7XeJ2ucvWM_w200_h200_c1_t0.jpg');
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INSERT INTO `hotel` VALUES (696948, '上海新园华美达广场酒店', '漕宝路509号', 1290, 45, '华美达', '上海', '四星级', '光大会展中心/漕河泾地区', '31.163802', '121.405618', 'https://m.tuniucdn.com/fb2/t1/G6/M00/52/B6/Cii-TF3eXHuIE57sAAZx8iP6rMIAAGRbgAH09gABnIK621_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (706343, '速8酒店（北京西客站北广场店）', '丰台莲花池东路126号', 268, 39, '速8', '北京', '二钻', '北京西站、丽泽商务区', '39.896623', '116.315586', 'https://m.tuniucdn.com/fb2/t1/G2/M00/E3/46/Cii-TlkzMXWIL0sAAAGG8a3YwiwAALJlgG-r5YAAYcJ067_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (707357, '维也纳酒店（上海南站光大店）', '徐汇桂林路46号（钦州南路路口往南100米）', 3288, 36, '维也纳', '上海', '三钻', '光大会展中心', '31.156297', '121.419948', 'https://m2.tuniucdn.com/filebroker/cdn/res/f7/13/f713f8f98d777d8d53aafefb37a79ef6_w200_h200_c1_t0.jpg');
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INSERT INTO `hotel` VALUES (5873072, '速8酒店（上海火车站北广场店）', '闸北芷江西路796号', 190, 41, '速8', '上海', '二钻', '上海火车站地区', '31.255579', '121.452903', 'https://m2.tuniucdn.com/filebroker/cdn/res/96/6d/966d6596e6cb7b48c9cc1d7da79b57c8_w200_h200_c1_t0.jpg');
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INSERT INTO `hotel` VALUES (197488318, '速8酒店（北京立水桥地铁南站店）', '朝阳北苑路18号院3号楼4层', 344, 36, '速8', '北京', '二钻', '亚运村、奥体中心地区', '40.043689', '116.414138', 'https://m.tuniucdn.com/fb2/t1/G1/M00/36/4D/Cii9EVkvP72IYYjgAAF7yZeWV-wAALMQACOARMAAXvh983_w200_h200_c1_t0.jpg');
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INSERT INTO `hotel` VALUES (197835483, '7天连锁酒店(深圳大学桃园店)', '南山区桃园西路160号', 431, 36, '7天酒店', '深圳', '二钻', '科技园', '22.532576', '113.916362', 'https://m.tuniucdn.com/fb2/t1/G1/M00/38/40/Cii9EFkv4XKIQN85AAFUcDrkXe0AALPvwPRn08AAVSI037_w200_h200_c1_t0.jpg');
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INSERT INTO `hotel` VALUES (198323591, '汉庭酒店(深圳北站龙华汽车站店)', '龙华新区建辉路2号', 209, 46, '汉庭', '深圳', '二钻', '深圳北站地区', '22.671313', '114.02784', 'https://m.tuniucdn.com/fb3/s1/2n9c/2dkB2HzbaBUJ7adZZfZaeS9JCvjP_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (200208940, '上海浦东喜来登由由公寓', '浦建路38号', 3168, 45, '喜来登', '上海', '五钻', '浦东新国际博览中心', '31.208553', '121.518552', 'https://m.tuniucdn.com/fb3/s1/2n9c/m3Nrm37Yx6YV4NwqRvSYnFRNSGk_w200_h200_c1_t0.jpg');
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INSERT INTO `hotel` VALUES (200214437, '上海浦东机场华美达广场酒店', '浦东机场启航路1100号', 600, 45, '华美达', '上海', '四星级', '浦东机场核心区', '31.160969', '121.799086', 'https://m.tuniucdn.com/fb3/s1/2n9c/2D2gbXDgrMx76uWfwzmoWpmSCCXx_w200_h200_c1_t0.jpg');
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INSERT INTO `hotel` VALUES (200215226, '上海颖奕皇冠假日酒店', '博园路6555号', 907, 45, '皇冠假日', '上海', '五钻', '嘉定新城', '31.272533', '121.19179', 'https://m.tuniucdn.com/fb3/s1/2n9c/3Uyfi2aBRETE1K5PChiLVZCwtDLF_w200_h200_c1_t0.jpg');
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INSERT INTO `hotel` VALUES (200216665, '维也纳酒店（上海奉贤南桥中心店）', '奉贤沪杭公路1758-8号', 1289, 38, '维也纳', '上海', '三钻', '奉贤开发区', '30.934646', '121.451449', 'https://m.tuniucdn.com/fb2/t1/G2/M00/DC/A8/Cii-T1kw5leIQAA3AAFzNYtL4loAAK9OQOyk4sAAXNN152_w200_h200_c1_t0.jpg');
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INSERT INTO `hotel` VALUES (1649956165, '上海南青华美达酒店', '华夏东路811号', 299, 47, '华美达', '上海', '四钻', '迪士尼度假区', '31.195206', '121.664791', 'https://m.tuniucdn.com/fb3/s1/2n9c/2RHmQgTpte3UVSDJ5KbqobbZGRnE_w200_h200_c1_t0.jpg');
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INSERT INTO `hotel` VALUES (1754929048, '上海环球港凯悦酒店', '宁夏路718号', 1336, 45, '凯悦', '上海', '五钻', '中山公园商业区', '31.232041', '121.412492', 'https://m.tuniucdn.com/fb2/t1/G6/M00/45/B6/Cii-U13ZY-CIF-8MAAXkwQoY7FIAAFpQgEE1bgABeTZ750_w200_h200_c1_t0.jpg');
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INSERT INTO `hotel` VALUES (1880614409, '上海崇明由由喜来登酒店', '揽海路2888号', 2198, 45, '喜来登', '上海', '五钻', '崇明岛/长兴岛/横沙岛', '31.462167', '121.823103', 'https://m.tuniucdn.com/fb3/s1/2n9c/21gDCGgRT3xFqCd3FxBh633j6Qsu_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (1889333146, '如家酒店(北京西客站丽泽桥店)', '西三环南路44号-218', 459, 47, '如家', '北京', '二钻', '北京西站/丽泽商务区', '39.869638', '116.313075', 'https://m.tuniucdn.com/fb3/s1/2n9c/kG5corYUDC7U1qE8RAY6xCVnGxq_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (1908594080, '上海建工浦江皇冠假日酒店', '陈行公路3701号', 843, 46, '皇冠假日', '上海', '五钻', '浦江镇地区', '31.090063', '121.489728', 'https://m.tuniucdn.com/fb2/t1/G6/M00/45/B7/Cii-U13ZZDWIePrGAAPyImW93N0AAFpRgMmj4MAA_I6005_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (1913922369, '上海中建万怡酒店', '蟠文路333号', 889, 47, '万怡', '上海', '四钻', '虹桥机场/国家会展中心', '31.185504', '121.287709', 'https://m.tuniucdn.com/fb3/s1/2n9c/39Afm5Bxgd784eMeFB5DrcsPnhT_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (1916002015, '上海苏宁环球万怡酒店', '丹巴路99号', 689, 45, '万怡', '上海', '四钻', '长风公园地区', '31.22292', '121.379912', 'https://m.tuniucdn.com/fb3/s1/2n9c/svpYHdmVDck91NqAhjtngcXth2G_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (1928731731, '上海康桥万豪酒店', '康新公路4499号', 811, 46, '万豪', '上海', '五钻', '迪士尼度假区', '31.119187', '121.618966', 'https://m.tuniucdn.com/fb3/s1/2n9c/3inpPxTnvRjMCEB39K9FuHaXohYw_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (1931442052, '深圳机场凯悦酒店', '宝安国际机场地面交通中心（GTC）18号出口', 291, 47, '凯悦', '深圳', '五钻', '宝安机场商圈', '22.622498', '113.812341', 'https://m.tuniucdn.com/fb2/t1/G6/M00/45/EC/Cii-TF3ZqVeIJcTPAAUq_Ou_CrcAAFr4gKufPUABSsU446_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (1931602865, '深圳联投东方万怡酒店', '松岗东方大道46号', 688, 45, '万怡', '深圳', '五钻', '松岗商业中心区', '22.760746', '113.856961', 'https://m.tuniucdn.com/fb2/t1/G6/M00/45/EC/Cii-U13ZqVyIOjdpAARI9aeBh-IAAFr4gOQh7oABEkN297_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (1937347815, '北京望京凯悦酒店', '广顺南大街8号院2号楼', 617, 46, '凯悦', '北京', '五钻', '望京/酒仙桥/798地区', '39.991546', '116.476288', 'https://m.tuniucdn.com/fb3/s1/2n9c/2gLT4ZgJ8ZuS7sSmXzYoCXnV248p_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (1942938880, '北京乐多港万豪酒店', '城南街道南口路29号', 227, 45, '万豪', '北京', '五钻', '昌平城区/十三陵度假区', '40.23264', '116.188888', 'https://m.tuniucdn.com/fb3/s1/2n9c/3mBWaZeaqq54E7kX2n7g9b2CZX6q_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (1942992995, '上海嘉定凯悦酒店', '裕民南路1366号', 758, 46, '凯悦', '上海', '五钻', '嘉定新城', '31.352298', '121.263314', 'https://m.tuniucdn.com/fb2/t1/G6/M00/53/2D/Cii-U13edkqIfZhLAAJEW25WIF4AAGVxQIg38sAAkRz517_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (1951709780, '深圳同泰万怡酒店', '福海街道宝安大道 6259号', 617, 48, '万怡', '深圳', '五钻', '深圳国际会展中心商圈', '22.678611', '113.805695', 'https://m.tuniucdn.com/fb3/s1/2n9c/3oUfktphxMAWq9hUxD9uqdjRdZGB_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (1973839294, '深圳湾万怡酒店', '科技南路16号', 508, 47, '万怡', '深圳', '五钻', '科技园', '22.531101', '113.950615', 'https://m.tuniucdn.com/fb3/s1/2n9c/8C9QscRsvTWCx92wt17GAegEMFn_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (1975922994, '如家酒店·neo(深圳南山海岸城南油地铁站店)', '南商路84-6号', 238, 44, '如家', '深圳', '二钻', '海岸城/后海', '22.513566', '113.9291', 'https://m.tuniucdn.com/fb2/t1/G6/M00/25/5E/Cii-TF3PGD-IQ0FcAAFIZC82AnkAAEVvAKdj4YAAUh8638_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (1989806195, '深圳博林天瑞喜来登酒店', '留仙大道4088号', 1369, 48, '喜来登', '深圳', '五钻', '大学城/西丽动物园', '22.582918', '113.97219', 'https://m.tuniucdn.com/fb3/s1/2n9c/4Rx55fZoneUeKbE3TCRSPB6WQ6bw_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (1996823660, '上海紫竹万怡酒店', '紫星路588号3幢', 642, 46, '万怡', '上海', '四钻', '交大/闵行经济开发区', '31.02118', '121.465186', 'https://m.tuniucdn.com/fb2/t1/G6/M00/53/2F/Cii-TF3edraIPzK9AAH_p8vdHKoAAGV3AJgSVEAAf-_019_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (1997830708, '和颐至尚酒店(北京上地软件园店)', '清河小营西路48号汇苑仁和大厦一层', 753, 47, '和颐', '北京', '四钻', '上地产业园/西三旗', '40.034623', '116.323925', 'https://m.tuniucdn.com/fb3/s1/2n9c/2sKjxS1hFYyBFVKVBqo2x2hSFvGj_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (2003479905, '上海榕港万怡酒店', '新松江路1277号', 798, 46, '万怡', '上海', '四钻', '佘山/松江大学城', '31.038198', '121.210178', 'https://m.tuniucdn.com/fb3/s1/2n9c/2GM761BYH8k15qkNrJrja3cwfr2D_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (2009548883, '和颐至尚酒店(北京首都机场新国展店)', '府前二街6号', 611, 46, '和颐', '北京', '三钻', '首都机场/新国展地区', '40.063953', '116.576829', 'https://m.tuniucdn.com/fb3/s1/2n9c/43zCTomkMSkUfZByZxn77YH2XidJ_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (2011785622, '北京世园凯悦酒店', '阜康南路1号院1号楼A', 558, 47, '凯悦', '北京', '五星级', '延庆休闲度假区', '40.440732', '115.963259', 'https://m.tuniucdn.com/fb3/s1/2n9c/uhGcQze3zZQxe4avSU8BysgYVvx_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (2022598930, '上海宝华喜来登酒店', '南奉公路3111弄228号', 2899, 46, '喜来登', '上海', '五钻', '奉贤开发区', '30.921659', '121.575572', 'https://m.tuniucdn.com/fb2/t1/G6/M00/45/BD/Cii-TF3ZaBmIStrbAASnoOyg7FoAAFpYwEoz9oABKe4992_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (2022881967, '深圳盐田凯悦酒店', '海景二路1025号1-6层、30-50层', 650, 47, '凯悦', '深圳', '五钻', '盐田区政府/沙头角', '22.551323', '114.23781', 'https://m.tuniucdn.com/fb3/s1/2n9c/2RFMLSujkczEn1HoybD6dUpN9pzr_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (2031683181, '和颐至尚酒店(北京雍和宫和平里店)', '小黄庄1区15号', 299, 47, '和颐', '北京', '四钻', '马甸/安贞地区', '39.962361', '116.412931', 'https://m.tuniucdn.com/fb3/s1/2n9c/4Xqm5BN9pZTamwmYS3eLxL417YYt_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (2045052822, '深圳国际会展中心皇冠假日酒店', '展云路6号', 675, 47, '皇冠假日', '深圳', '五钻', '深圳国际会展中心商圈', '22.686581', '113.777655', 'https://m.tuniucdn.com/fb3/s1/2n9c/4DGZygQpE4iSpcBDCoXJvjNr4oiR_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (2048042240, '北京大兴希尔顿酒店', '高米店南里18号楼', 1283, 48, '希尔顿', '北京', '五钻', '大兴北京新机场地区', '39.76875', '116.339199', 'https://m.tuniucdn.com/fb3/s1/2n9c/3B32F8zSU2CJCWzs1hoH2o4WcquR_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (2048047291, '北京新青海喜来登酒店', '丽泽金融商务区凤凰嘴北路与金中都西路交叉口西营街8号院1号楼', 723, 47, '喜来登', '北京', '五钻', '北京西站/丽泽商务区', '39.864026', '116.322505', 'https://m.tuniucdn.com/fb3/s1/2n9c/4DPQMu5sMM7XR1mvcjoqtWngc7TF_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (2048050570, '汉庭酒店（深圳坪山火车站店）', '新和路127-2号', 436, 47, '汉庭', '深圳', '二钻', '坪山高铁站商圈', '22.700753', '114.339089', 'https://m.tuniucdn.com/fb3/s1/2n9c/2nXN2bWjfoqoTkPwHvLJQPYz17qD_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (2048671293, '汉庭酒店(深圳观澜五和大道店)', '观湖街道五和大道327号', 234, 43, '汉庭', '深圳', '二钻', '观澜', '22.684459', '114.07708', 'https://m.tuniucdn.com/fb3/s1/2n9c/2JrQi83S9qgDEkXqWpe5iyi44Uh2_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (2051661320, '汉庭酒店(深圳罗湖口岸万象城二店)', '桂园街道宝安南路1050号嘉宾花园C栋', 667, 47, '汉庭', '深圳', '三钻', '万象城/京基100', '22.540352', '114.112668', 'https://m.tuniucdn.com/fb3/s1/2n9c/34FRP7HLPhvKZP1a6tXu4XrJeiaw_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (2056105938, '北京通州北投希尔顿酒店', '新华东街289号2号楼', 1068, 48, '希尔顿', '北京', '五钻', '果园环岛/通州区', '39.908805', '116.659748', 'https://m.tuniucdn.com/fb3/s1/2n9c/NGKdpec3tZJNUUNWJ5pd67Cp5AY_w200_h200_c1_t0.png');
INSERT INTO `hotel` VALUES (2056126831, '上海虹桥金臣皇冠假日酒店', '申长路630弄1-3 号', 2488, 48, '皇冠假日', '上海', '五钻', '虹桥机场/国家会展中心', '31.19036', '121.31535', 'https://m.tuniucdn.com/fb3/s1/2n9c/PvFh4Vzc84xXhm5N41F6AqdAqyJ_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (2056132395, '深圳深铁皇冠假日酒店', '深南大道9819号', 340, 47, '皇冠假日', '深圳', '五钻', '科技园', '22.538923', '113.944794', 'https://m.tuniucdn.com/fb3/s1/2n9c/eBLtrED2uJs7yURWfjnWge9dT1P_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (2056298828, '上海中优城市万豪酒店', '沪南公路7688弄1号', 1200, 45, '万豪', '上海', '五钻', '南汇/野生动物园', '31.030053', '121.662943', 'https://m.tuniucdn.com/fb3/s1/2n9c/2gBATEyysyQWmw3wZL863HGdqjaq_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (2058250574, '深圳湾万丽酒店', '粤海街道高新区社区科技南路18号', 351, 47, '万丽', '深圳', '五钻', '科技园', '22.531674', '113.951882', 'https://m.tuniucdn.com/fb3/s1/2n9c/2YWUpZsvPVkRiKgdPg95LJxaFmB6_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (2060510277, '北京金隅八达岭皇冠假日酒店', '妫水北街1号1-14幢', 1026, 44, '皇冠假日', '北京', '五钻', '延庆休闲度假区', '40.476483', '115.97481', 'https://m.tuniucdn.com/fb3/s1/2n9c/3Dzq2KxgiQbmb1sbc5iK6xqpVuFr_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (2060618247, '汉庭酒店(深圳海岸城店)', '粤海街道后海社区后海第二统建楼商业裙楼第二层B', 562, 49, '汉庭', '深圳', '二钻', '海岸城/后海', '22.507276', '113.931251', 'https://m.tuniucdn.com/fb3/s1/2n9c/TBoXdgEx5Yjc2HobeC3fPWWnSJi_w200_h200_c1_t0.jpg');
INSERT INTO `hotel` VALUES (2062643512, '深圳国际会展中心希尔顿酒店', '展丰路80号', 285, 46, '希尔顿', '深圳', '五钻', '深圳国际会展中心商圈', '22.705335', '113.77794', 'https://m.tuniucdn.com/fb3/s1/2n9c/2SHUVXNrN5NsXsTUwcd1yaHKbrGq_w200_h200_c1_t0.jpg');
SET FOREIGN_KEY_CHECKS = 1;
2.6 其他
如mapper类，service类就自己去创建。
3. 操作索引库
3.1 创建索引库和映射
3.1.1 mapping映射属性
mapping是对索引库中文档的约束，常见的mapping属性包括：
- type：字段数据类型，常见的简单类型有：
- 字符串：text（可分词的文本）、keyword（精确值，例如：品牌、国家、ip地址）
- 数值：long、integer、short、byte、double、float、
- 布尔：boolean
- 日期：date
- 对象：object
- index：是否创建倒排索引，默认为true
- analyzer：使用哪种分词器
- properties：该字段的子字段
3.1.2 es语法
-
请求方式：PUT
-
请求路径：/索引库名，可以自定义
-
请求参数：mapping映射
// PUT/索引库名称
{
"mappings": {
"properties": {
"id": {
"type": "keyword"
},
"name":{
"type": "text",
"analyzer": "ik_max_word",
"copy_to": "all"
},
"address":{
"type": "keyword",
"index": false
},
"price":{
"type": "integer"
},
"score":{
"type": "integer"
},
"brand":{
"type": "keyword",
"copy_to": "all"
},
"city":{
"type": "keyword",
"copy_to": "all"
},
"starName":{
"type": "keyword"
},
"business":{
"type": "keyword"
},
"location":{
"type": "geo_point"
},
"pic":{
"type": "keyword",
"index": false
},
"all":{
"type": "text",
"analyzer": "ik_max_word"
}
}
}
}
- location：地理坐标，里面包含精度、纬度
- all：一个组合字段，其目的是将多字段的值 利用copy_to合并，提供给用户搜索
测试结果
3.1.3 java语法
/**
* @return void
* @description 创建索引和映射
* @author King
* @date 2023/8/25 17:24
*/
@Test
void test() {
//创建索引
CreateIndexRequest createIndexRequest = new CreateIndexRequest("test");
//创建映射，一般在kibana中写好后再复制过来
createIndexRequest.mapping("{\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" +
" }", XContentType.JSON);
try {
restHighLevelClient.indices().create(createIndexRequest, RequestOptions.DEFAULT);
} catch (IOException e) {
throw new RuntimeException(e);
} finally {
try {
//关闭资源
restHighLevelClient.close();
} catch (IOException e) {
throw new RuntimeException(e);
}
}
}
3.2 查询索引库
3.2.1 es语法
-
请求方式：GET
-
请求路径：/索引库名
-
请求参数：无
GET /索引库名测试结果
3.2.2 java语法
/**
* @description 判断索引库是否存在
*
* @return void
* @author King
* @date 2023/8/26 13:38
*/
@Test
void text4() {
GetIndexRequest req = new GetIndexRequest("test");
//如果为 true，则请求仅从本地节点检索信息。
req.local(false);
req.humanReadable(true);
//如果为 true，则返回响应中的所有默认设置。
req.includeDefaults(false);
try {
boolean exists = restHighLevelClient.indices().exists(req, RequestOptions.DEFAULT);
System.out.println(exists);
} catch (IOException e) {
throw new RuntimeException(e);
}finally {
try {
restHighLevelClient.close();
} catch (IOException e) {
throw new RuntimeException(e);
}
}
}
测试结果
3.3 给索引库添加字段
索引库一旦创建，无法修改mapping。
虽然无法修改mapping中已有的字段，但是却允许添加新的字段到mapping中，因为不会对倒排索引产生影响。
3.3.1 es语法
-
请求方式：PUT
-
请求路径：/索引库名/_mapping
-
请求参数：mapping映射
PUT /索引库名/_mapping { "properties": { "新字段名":{ "type": "integer" } } }测试结果
3.4删除索引库
3.4.1 es语法
-
请求方式：DELETE
-
请求路径：/索引库名
-
请求参数：无
DELETE /索引库名
3.4.2 Java语法
/**
* @return void
* @description 删除索引库
* @author King
* @date 2023/8/25 17:26
*/
@Test
void test2() {
//删除索引
DeleteIndexRequest delete = new DeleteIndexRequest("test");
delete.timeout(TimeValue.timeValueMillis(2));
try {
restHighLevelClient.indices().delete(delete, RequestOptions.DEFAULT);
} catch (IOException e) {
throw new RuntimeException(e);
}
}
4. 操作文档
4.1 新增文档
4.1.1 es语法
-
请求方式：POST
-
请求路径：/索引库名/_doc/文档id
-
请求参数：Json
POST /索引库名/_doc/文档id { { "address": "静安交通路40号", "brand": "7天酒店", "business": "四川北路商业区", "city": "上海", "id": 36934, "latitude": "31.251433", "longitude": "121.47522", "name": "7天连锁酒店(上海宝山路地铁站店)", "pic": "https://m.tuniucdn.com/fb2/t1/G1/M00/3E/40/Cii9EVkyLrKIXo1vAAHgrxo_pUcAALcKQLD688AAeDH564_w200_h200_c1_t0.jpg", "price": 336, "score": 37, "starName": "二钻" } }测试结果
4.1.2 Java语法
/**
* @description 新增文档
*
* @return void
* @author King
* @date 2023/8/26 15:09
*/
@Test
void t1() {
//查询数据库获取数据
Hotel hotel = hotelMapper.selectById(38812);
//转为json
String toJSONString = JSON.toJSONString(hotel);
IndexRequest indexrequest = new IndexRequest("text");
//指定id
indexrequest.id(hotel.getId().toString());
//添加数据
indexrequest.source(toJSONString, XContentType.JSON);
//设置Elasticsearch数据刷新策略
indexrequest.setRefreshPolicy(WriteRequest.RefreshPolicy.IMMEDIATE);
try {
IndexResponse index = restHighLevelClient.index(indexrequest, RequestOptions.DEFAULT);
int status = index.status().getStatus();
System.out.println(status);
} catch (IOException e) {
throw new RuntimeException(e);
}
}
测试结果
4.1.3 Elasticsearch数据刷新策略
RefreshPolicy 是WriteRequest接口中的一个内部枚举
IMMEDIATE:
请求向ElasticSearch提交了数据，立即进行数据刷新，然后再结束请求。
优点：实时性高、操作延时短。
缺点：资源消耗高。
WAIT_UNTIL:
请求向ElasticSearch提交了数据，等待数据完成刷新，然后再结束请求。
优点：实时性高、操作延时长。
缺点：资源消耗低。
NONE:
默认策略。
请求向ElasticSearch提交了数据，不关系数据是否已经完成刷新，直接结束请求。
优点：操作延时短、资源消耗低。
缺点：实时性低。
4.2 查询文档
4.2.1 es语法
-
请求方式：GET
-
请求路径：/索引库名/_doc/文档id
-
请求参数：无
GET /{索引库名称}/_doc/{id}测试结果
4.2.2 Java语法
/**
* @description 根据id查询数据
*
* @return void
* @author King
* @date 2023/8/26 16:17
*/
@Test
void t4() throws IOException {
GetRequest getRequest = new GetRequest("test","38812");
GetResponse documentFields = restHighLevelClient.get(getRequest, RequestOptions.DEFAULT);
String sourceAsString = documentFields.getSourceAsString();
Hotel hotel = JSON.parseObject(sourceAsString, Hotel.class);
System.out.println(hotel);
}
//推荐
@Test
void t0() {
GetRequest a = new GetRequest("test","36934");
restHighLevelClient.getAsync(a, RequestOptions.DEFAULT, new ActionListener<GetResponse>() {
@Override
public void onResponse(GetResponse documentFields) {
String sourceAsString = documentFields.getSourceAsString();
Hotel hotel = JSON.parseObject(sourceAsString, Hotel.class);
System.out.println(hotel);
}
@Override
public void onFailure(Exception e) {
e.printStackTrace();
}
});
}
测试结果
4.3 修改文档
4.3.1 全量修改
全量修改是覆盖原来的文档，其本质是：
- 根据指定的id删除文档
- 新增一个相同id的文档
注意：如果根据id删除时，id不存在，第二步的新增也会执行，也就从修改变成了新增操作了。
4.3.1.1 es语法
-
请求方式：PUT
-
请求路径：/{索引库名}/_doc/文档id
-
请求参数：Json
PUT /{索引库名}/_doc/文档id { "address": "徐汇龙华西路315弄58号", "brand": "7天酒店", "business": "八万人体育场地区", "city": "上海", "id": 38812, "latitude": "31.174377", "longitude": "121.442875", "name": "7天连锁酒店(上海漕溪路地铁站店)", "pic": "https://m.tuniucdn.com/fb2/t1/G2/M00/E0/0E/Cii-TlkyIr2IEWNoAAHQYv7i5CkAALD-QP2iJwAAdB6245_w200_h200_c1_t0.jpg", "price": 298, "score": 37, "starName": "二钻" }测试结果
查询文档，结果已经覆盖
4.3.1.2 Java语法
/**
* @description 全量修改，id存在修改，不存在新增
*
* @return void
* @author King
* @date 2023/8/26 15:22
*/
@Test
void t2() {
//查询数据库获取数据
Hotel hotel = hotelMapper.selectById(38812);
hotel.setAddress("6666");
//转为json
String toJSONString = JSON.toJSONString(hotel);
IndexRequest indexrequest = new IndexRequest("test");
//指定id
indexrequest.id(hotel.getId().toString());
//添加数据
indexrequest.source(toJSONString, XContentType.JSON);
//设置Elasticsearch数据刷新策略
indexrequest.setRefreshPolicy(WriteRequest.RefreshPolicy.IMMEDIATE);
indexrequest.timeout(TimeValue.timeValueSeconds(2));
restHighLevelClient.indexAsync(indexrequest, RequestOptions.DEFAULT, new ActionListener<IndexResponse>() {
@Override
public void onResponse(IndexResponse indexResponse) {
RestStatus status = indexResponse.status();
System.out.println(status.name());
if (indexResponse.getResult() == DocWriteResponse.Result.CREATED) {
//id未重复
System.out.println("创建成功");
} else if (indexResponse.getResult() == DocWriteResponse.Result.UPDATED) {
//id重复
System.out.println("更新成功");
}
}
@Override
public void onFailure(Exception e) {
//出异常了
System.out.println(e.getMessage());
}
});
}
测试结果
4.3.2 增量修改
增量修改是只修改指定id匹配的文档中的部分字段。
4.3.2.1 es语法
-
请求方式：POST
-
请求路径：/{索引库名}/_update/文档id
-
请求参数：json
POST /heima/_update/1 { "doc": { "address": "测试地址6", "brand": "七天酒店6" } }测试结果
查询文档
4.3.2.2 Java语法
/**
* @description 增量修改,三种常用方式
*
* @return void
* @author King
* @date 2023/8/26 16:07
*/
@Test
void t3() throws IOException {
UpdateRequest update = new UpdateRequest("test","38812");
//1.多个参数拼接
// update.doc("address","测试test",
// "brand","测试test");
//2.json
// update.doc("{\n" +
// " \"address\": \"测试地址test1\",\n" +
// " \"brand\": \"七天酒店test1\"\n" +
// " }",XContentType.JSON);
//3. map
Map<String,Object> map = new HashMap<String,Object>();
map.put("address","测试333");
map.put("brand","测试333");
update.doc(map);
restHighLevelClient.update(update,RequestOptions.DEFAULT);
}
4.4 删除文档
4.4.1 es语法
-
请求方式：DELETE
-
请求路径：/{索引库名}/_doc/id值
-
请求参数：无
DELETE /hotel/_doc/1测试结果
4.4.2 Java语法
/**
* @description 根据id删除文档
*
* @return void
* @author King
* @date 2023/8/26 16:18
*/
@Test
void t5() throws IOException {
DeleteRequest delete = new DeleteRequest("test","38812");
DeleteResponse response = restHighLevelClient.delete(delete, RequestOptions.DEFAULT);
System.out.println(response.status().name());
}
测试结果
4.5 批量导入文档
/**
* @return void
* @description 批量导入
* @author King
* @date 2023/8/25 14:56
*/
@Test
void test1() throws IOException {
//查询数据库所有
List<Hotel> hotels = hotelMapper.selectList(null);
//批量导入
BulkRequest bulk = new BulkRequest("test");
for (Hotel hotel : hotels) {
//数据库中没有location字段，后续经纬度查询需要
Map<String,String> HashMap =new HashMap<>();
HashMap.put("lon",hotel.getLongitude());
HashMap.put("lat",hotel.getLatitude());
hotel.setLocation(HashMap);
IndexRequest indexRequest = new IndexRequest().id(hotel.getId().toString()).source(JSON.toJSONString(hotel), XContentType.JSON);
//批量添加数据
bulk.add(indexRequest);
}
restHighLevelClient.bulk(bulk, RequestOptions.DEFAULT);
}
5. 高级查询(DSL)
Elasticsearch提供了基于JSON的DSL（Domain Specific Language）来定义查询。常见的查询类型包括：
-
查询所有：查询出所有数据
- match_all
-
全文检索（full text）查询：利用分词器对用户输入内容分词，然后去倒排索引库中匹配
- match_query
- multi_match_query
-
精确查询：根据精确词条值查找数据，一般是查找keyword、数值、日期、boolean等类型字段
- ids
- range
- term
-
地理（geo）查询：根据经纬度查询
- geo_distance
- geo_bounding_box
-
复合（compound）查询：复合查询可以将上述各种查询条件组合起来，合并查询条件
- bool
- function_score
查询的语法基本一致：
-
请求方式：GET
-
请求路径：/{索引库名}/_search
-
请求参数：json
GET /索引库名/_search { "query": { "查询类型": { "查询条件": "条件值" } } }
5.1 查询所有
5.1.1 es语法
// 查询所有
GET /hotel/_search //不要下面的参数也一样可以
{
"query": {
"match_all": {
}
}
}
测试结果
5.1.2 java语法
/**
* @description 查询所有
*
* @return void
* @author King
* @date 2023/8/27 10:27
*/
@Test
void t7() throws IOException {
//指定查询的索引名
SearchRequest searchRequest = new SearchRequest("test");
searchRequest.source().query(QueryBuilders.matchAllQuery());
SearchResponse search = restHighLevelClient.search(searchRequest, RequestOptions.DEFAULT);
//解析响应
SearchHits hits = search.getHits();
//总条数
long value = hits.getTotalHits().value;
System.out.println("总条数"+value);
//文档数组
SearchHit[] hits1 = hits.getHits();
for (SearchHit documentFields : hits1) {
String sourceAsString = documentFields.getSourceAsString();
Hotel hotel = JSON.parseObject(sourceAsString, Hotel.class);
System.out.println(hotel);
}
}
测试结果
5.2 全文检索查询
全文检索查询的基本流程如下：
- 对用户搜索的内容做分词，得到词条
- 根据词条去倒排索引库中匹配，得到文档id
- 根据文档id找到文档，返回给用户
比较常用的场景包括：
-
商城的输入框搜索
-
百度输入框搜索
-
match查询：单字段查询
-
multi_match查询：多字段查询，任意一个字段符合条件就算符合查询条件，参与查询字段越多，查询性能越差
5.2.1 es语法
5.2.1.1 match查询
GET /test/_search
GET /indexName/_search
{
"query": {
"match": {
"FIELD": "TEXT"
}
}
}
测试结果
5.2.1.2 multi_match查询
{
"query": {
"multi_match": {
"query": "TEXT",
"fields": ["FIELD1", " FIELD12","...", ...]
}
}
}
测试结果
5.2.2 Java语法
5.2.2.1match查询
/**
* @description 全文检索查询--match--单字段查询
*
* @return void
* @author King
* @date 2023/8/27 11:12
*/
@Test
void t8() throws IOException {
SearchRequest request = new SearchRequest("test");
request.source().query(QueryBuilders.matchQuery("all","酒店"));
SearchResponse search = restHighLevelClient.search(request, RequestOptions.DEFAULT);
//解析响应
SearchHits hits = search.getHits();
//总条数
long value = hits.getTotalHits().value;
System.out.println("总条数" + value);
//文档数组
SearchHit[] hits1 = hits.getHits();
for (SearchHit documentFields : hits1) {
String sourceAsString = documentFields.getSourceAsString();
Hotel hotel = JSON.parseObject(sourceAsString, Hotel.class);
System.out.println(hotel);
}
}
测试结果
5.2.2.2multi_match查询
/**
* @description 全文检索查询--multi_match--多字段查询
*
* @return void
* @author King
* @date 2023/8/27 11:13
*/
@Test
void t9() throws IOException {
SearchRequest request = new SearchRequest("test");
request.source().query(QueryBuilders.multiMatchQuery("酒店","brand","name","business"));
SearchResponse search = restHighLevelClient.search(request, RequestOptions.DEFAULT);
//解析响应
SearchHits hits = search.getHits();
//总条数
long value = hits.getTotalHits().value;
System.out.println("总条数" + value);
//文档数组
SearchHit[] hits1 = hits.getHits();
for (SearchHit documentFields : hits1) {
String sourceAsString = documentFields.getSourceAsString();
Hotel hotel = JSON.parseObject(sourceAsString, Hotel.class);
System.out.println(hotel);
}
}
测试结果
5.2.3 注意
可以看到，两种查询结果是一样的，是因为mapping映射中我们将brand、name、business值都利用copy_to复制到了all字段中。因此你根据三个字段搜索，和根据all字段搜索效果当然一样了。
但是，搜索字段越多，对查询性能影响越大，因此建议采用copy_to，然后单字段查询的方式。
5.3 精准查询
精确查询一般是查找keyword、数值、日期、boolean等类型字段。所以不会对搜索条件分词
- term查询：根据词条精确匹配，一般搜索keyword类型、数值类型、布尔类型、日期类型字段
- range查询：根据数值范围查询，可以是数值、日期的范围
5.3.1 es语法
5.3.1.1 term查询
term单值
GET /{索引名}/_search
{
"query": {
"term": {
"FIELD": {
"value": "VALUE"
}
}
}
}
测试结果
terms
GET /indexName/_search
{
"query": {
"terms": {
"FIELD": [
"VALUE1",
"VALUE2"
]
}
}
}
测试结果
term多字段
5.3.1.2 range查询
{
"query": {
"range": {
"FIELD": {
"gte": 10, // 这里的gte代表大于等于，gt则代表大于
"lte": 20 // lte代表小于等于，lt则代表小于
}
}
}
}
测试结果
5.3.2 Java语法
5.3.2.1 term查询
term单值
/**
* @description 精准查询 term查询
*
* @return void
* @author King
* @date 2023/8/27 12:02
*/
@Test
void t11() throws IOException {
SearchRequest request = new SearchRequest("test");
request.source().query(QueryBuilders.termQuery("city","上海"));//替换
SearchResponse search = restHighLevelClient.search(request, RequestOptions.DEFAULT);
//解析响应
SearchHits hits = search.getHits();
//总条数
long value = hits.getTotalHits().value;
System.out.println("总条数" + value);
//文档数组
SearchHit[] hits1 = hits.getHits();
for (SearchHit documentFields : hits1) {
String sourceAsString = documentFields.getSourceAsString();
Hotel hotel = JSON.parseObject(sourceAsString, Hotel.class);
System.out.println(hotel);
}
}
terms多值
request.source().query(QueryBuilders.termsQuery("city","上海","杭州"));
term多字段
request.source().query(QueryBuilders.termQuery("city","上海"));
request.source().query(QueryBuilders.termQuery("brand","速8"));
5.3.2.2 range查询
/**
* @description 精准查询 range查询
*
* @return void
* @author King
* @date 2023/8/27 12:02
*/
@Test
void t12() throws IOException {
SearchRequest request = new SearchRequest("test");
request.source().query(QueryBuilders.rangeQuery("price").gte(100).lte(150));
SearchResponse search = restHighLevelClient.search(request, RequestOptions.DEFAULT);
//解析响应
SearchHits hits = search.getHits();
//总条数
long value = hits.getTotalHits().value;
System.out.println("总条数" + value);
//文档数组
SearchHit[] hits1 = hits.getHits();
for (SearchHit documentFields : hits1) {
String sourceAsString = documentFields.getSourceAsString();
Hotel hotel = JSON.parseObject(sourceAsString, Hotel.class);
System.out.println(hotel);
}
}
5.4 地理坐标查询
-
矩形范围查询，也就是geo_bounding_box查询，查询坐标落在某个矩形范围的所有文档：
查询时，需要指定矩形的左上、右下两个点的坐标，然后画出一个矩形，落在该矩形内的都是符合条件的点。
-
附近查询，也叫做距离查询（geo_distance）：查询到指定中心点小于某个距离值的所有文档
换句话来说，在地图上找一个点作为圆心，以指定距离为半径，画一个圆，落在圆内的坐标都算符合条件：
-
多边形查询（geo_polygon），以多个点，确定多边形，获取多边形内的全部数据，与矩形相似，只不过是多个点
5.4.1 es语法
5.4.1.1 矩形范围查询
// geo_bounding_box查询
GET /indexName/_search
{
"query": {
"geo_bounding_box": {
"FIELD": {
"top_left": { // 左上点
"lat": 31.1,
"lon": 121.5
},
"bottom_right": { // 右下点
"lat": 30.9,
"lon": 121.7
}
}
}
}
}
测试结果
5.4.1.2 附近查询
GET /indexName/_search
{
"query": {
"geo_distance": {
"distance": "15km", // 半径
"FIELD": "31.21,121.5" // 圆心
}
}
}
测试结果
5.4.1.3 多边形查询
{
"query": {
"geo_polygon": {
"FIELD": {
"points": [
{
"lat": 60.9,
"lon": 121.7
},
{
"lat": 30.9,
"lon": 81.7
},
{
"lat": 30.9,
"lon": 161.7
},
{
...
}
]
}
}
}
}
测试结果
5.4.2 Java语法
5.4.2.1 矩形范围查询
SearchRequest request = new SearchRequest("test");
request.source().query(QueryBuilders
.geoBoundingBoxQuery("location")
.setCorners(31.1,121.5,30.9,121.7));//纬度，经度，纬度，经度，
SearchResponse search = restHighLevelClient.search(request, RequestOptions.DEFAULT);
//结果解析。。。
5.4.2.2 附近查询
SearchRequest request = new SearchRequest("test");
request.source().query(QueryBuilders
.geoDistanceQuery("location")
.distance("15", DistanceUnit.KILOMETERS)//半径
.point(31.21,121.5));//圆心
SearchResponse search = restHighLevelClient.search(request, RequestOptions.DEFAULT);
//解析响应...
5.4.2.3 多边形查询
SearchRequest request = new SearchRequest("test");
//import org.elasticsearch.common.geo.GeoPoint;
List<GeoPoint> points=new ArrayList<GeoPoint>();
points.add(new GeoPoint(60.9,121.7));
points.add(new GeoPoint(30.9,81.7));
points.add(new GeoPoint(30.9,161.7));
request.source().query(QueryBuilders.geoPolygonQuery("location",points));
SearchResponse search = restHighLevelClient.search(request, RequestOptions.DEFAULT);
//解析响应...
5.5复合查询
复合（compound）查询：复合查询可以将其它简单查询组合起来，实现更复杂的搜索逻辑。常见的有两种：
- fuction score：算分函数查询，可以控制文档相关性算分，控制文档排名
- bool query：布尔查询，利用逻辑关系组合多个其它的查询，实现复杂搜索
5.5.1 相关性算分
当我们利用match查询时，文档结果会根据与搜索词条的关联度打分（_score），返回结果时按照分值降序排列。
-
TF-IDF算法
TF-IDF算法有一各缺陷，就是词条频率越高，文档得分也会越高，单个词条对文档影响较大
-
BM25算法，elasticsearch5.1版本后采用的算法
BM25则会让单个词条的算分有一个上限，曲线更加平滑
5.5.2 算分函数查询
根据相关度打分是比较合理的需求，但合理的不一定是产品经理需要的。
以百度为例，你搜索的结果中，并不是相关度越高排名越靠前，而是谁掏的钱多排名就越靠前.
要想认为控制相关性算分，就需要利用elasticsearch中的function score 查询了。
5.5.2.1 es语法
{
"query": {
"function_score": {
"query": { .... }, // 原始查询，可以是任意条件
"functions": [ // 算分函数
{
"filter": { // 满足的条件，品牌必须是如家
"term": {
"brand": "如家"
}
},
"weight": 2 // 算分权重为2
}
],
"boost_mode": "sum" // 加权模式，求和
}
}
}
function score 查询中包含四部分内容：
- 原始查询条件：query部分，基于这个条件搜索文档，并且基于BM25算法给文档打分，原始算分（query score)
- 过滤条件：filter部分，符合该条件的文档才会重新算分
-
算分函数：符合filter条件的文档要根据这个函数做运算，得到的函数算分（function score），有四种函数
- weight：函数结果是常量
- field_value_factor：以文档中的某个字段值作为函数结果
- random_score：以随机数作为函数结果
- script_score：自定义算分函数算法
-
运算模式：算分函数的结果、原始查询的相关性算分，两者之间的运算方式，包括：
- multiply：相乘
- replace：用function score替换query score
- 其它，例如：sum、avg、max、min
function score的运行流程如下：
- 1）根据原始条件查询搜索文档，并且计算相关性算分，称为原始算分（query score）
- 2）根据过滤条件，过滤文档
- 3）符合过滤条件的文档，基于算分函数运算，得到函数算分（function score）
- 4）将原始算分（query score）和函数算分（function score）基于运算模式做运算，得到最终结果，作为相关性算分。
因此，其中的关键点是：
-
过滤条件：决定哪些文档的算分被修改
-
算分函数：决定函数算分的算法
-
运算模式：决定最终算分结果
测试结果
5.5.2.2 java语法
/**
* @description 算分函数查询
*
* @return void
* @author King
* @date 2023/8/27 16:02
*/
@Test
void tq() throws IOException {
SearchRequest request = new SearchRequest("test");
//原始查询
RangeQueryBuilder rangeQueryBuilder = QueryBuilders.rangeQuery("price").gte(300);
FunctionScoreQueryBuilder functionScoreQueryBuilder =QueryBuilders.functionScoreQuery(rangeQueryBuilder,
//function score的数组
new FunctionScoreQueryBuilder.FilterFunctionBuilder[]{
//其中的一个function score 元素
new FunctionScoreQueryBuilder.FilterFunctionBuilder(
//过滤条件
QueryBuilders.termQuery("brand","如家")
//算分函数
/*
weightFactorFunction:权重,weight可以让文档在计算分数时乘就weight所指定的数值
scriptFunction:自定义脚本打分，通过写脚本的方法自定义打分,对于某些weight处理不了或不好处理的自定义打分情况可用它来实现
randomFunction:可以生成0到1之间的随机数来给文档打分
fieldValueFactorFunction:field_value_factor函数可以让我们决定由一个field的值来给文档打分，和script_score有相似之处，但是比script_score简单。field _value_factor能完成的功能script_score都能完成。
DecayFunction:衰减函数。类似于通过给定的值来计算出一个圈，然后再给定一个点，求出这个圈子内的数据，距离给定的点越远则打分越低，越近则越高。
gauss（高斯函数）
lin（线性函数）
exp（指数函数）
*/
, ScoreFunctionBuilders.weightFactorFunction(10)),
// new FunctionScoreQueryBuilder.FilterFunctionBuilder(null,null) 这之后可以继续写function score
});
//指定算分为sum
functionScoreQueryBuilder.boostMode(CombineFunction.SUM);
request.source().query(functionScoreQueryBuilder);
SearchResponse search = restHighLevelClient.search(request, RequestOptions.DEFAULT);
//解析响应
SearchHits hits = search.getHits();
//总条数
long value = hits.getTotalHits().value;
System.out.println("总条数" + value);
//文档数组
SearchHit[] hits1 = hits.getHits();
for (SearchHit documentFields : hits1) {
String sourceAsString = documentFields.getSourceAsString();
Hotel hotel = JSON.parseObject(sourceAsString, Hotel.class);
//打分
float score = documentFields.getScore();
System.out.println("打分:"+score);
System.out.println(hotel);
}
}
5.5.3 布尔查询
布尔查询是一个或多个查询子句的组合，每一个子句就是一个子查询。子查询的组合方式有：
- must：必须匹配每个子查询，类似“与”
- should：选择性匹配子查询，类似“或”
- must_not：必须不匹配，不参与算分，类似“非”
- filter：必须匹配，不参与算分
需要注意的是，搜索时，参与打分的字段越多，查询的性能也越差。因此这种多条件查询时，建议这样做：
- 搜索框的关键字搜索，是全文检索查询，使用must查询，参与算分
- 其它过滤条件，采用filter查询。不参与算分
5.5.3.1 es语法
{
"query": {
"bool": {
"must": [
{"term": {"city": "上海" }}
],
"should": [
{"term": {"brand": "皇冠假日" }},
{"term": {"brand": "华美达" }}
],
"must_not": [
{ "range": { "price": { "lte": 500 } }}
],
"filter": [
{ "range": {"score": { "gte": 45 } }}
]
}
}
}
测试结果
5.5.3.2 java语法
/**
* @description 布尔查询
*
* @return void
* @author King
* @date 2023/8/27 16:52
*/
@Test
void tw() throws IOException {
SearchRequest request = new SearchRequest("test");
BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();
//must
boolQueryBuilder.must(QueryBuilders.termQuery("city","上海"));
//should
boolQueryBuilder.should(QueryBuilders.termQuery("brand", "皇冠假日"));
boolQueryBuilder.should(QueryBuilders.termQuery("brand", "华美达"));
//mustNot
boolQueryBuilder.mustNot(QueryBuilders.rangeQuery("price").lte(500));
//filter
boolQueryBuilder.filter(QueryBuilders.rangeQuery("score").gte(45));
request.source().query(boolQueryBuilder);
SearchResponse search = restHighLevelClient.search(request, RequestOptions.DEFAULT);
//解析响应
SearchHits hits = search.getHits();
//总条数
long value = hits.getTotalHits().value;
System.out.println("总条数" + value);
//文档数组
SearchHit[] hits1 = hits.getHits();
for (SearchHit documentFields : hits1) {
String sourceAsString = documentFields.getSourceAsString();
Hotel hotel = JSON.parseObject(sourceAsString, Hotel.class);
System.out.println(hotel);
}
}
6.查询结果处理
6.1 排序
elasticsearch默认是根据相关度算分（_score）来排序，但是也支持自定义方式对搜索结果排序。可以排序字段类型有：keyword类型、数值类型、地理坐标类型、日期类型等。
6.1.1 普通字段排序
keyword、数值、日期类型排序的语法基本一致。
6.1.1.1 es语法
GET /索引库名/_search
{
"query": {
"match_all": {}
},
"sort": [
{
"FIELD": "desc" // 排序字段、排序方式ASC（升序）、DESC（降序）
},{
...排序条件是一个数组，也就是可以写多个排序条件。按照声明的顺序，当第一个条件相等时，再按照第二个条件排序，以此类推
}
]
}
测试结果
6.1.1.2 java语法
/**
* @description 普通字段排序
*
* @return void
* @author King
* @date 2023/8/28 13:31
*/
@Test
void te() throws IOException {
SearchRequest request = new SearchRequest("test");
request.source()
.query(QueryBuilders.matchAllQuery())
.sort("score", SortOrder.DESC)
.sort("price",SortOrder.ASC);
SearchResponse search = restHighLevelClient.search(request, RequestOptions.DEFAULT);
//解析响应...
}
6.1.2 地理坐标排序
6.1.2.1 es语法
GET /索引库名/_search
{
"query": {
"match_all": {}
},
"sort": [
{
"_geo_distance" : {
"FIELD" : "纬度，经度", // 文档中geo_point类型的字段名、目标坐标点
"order" : "asc", // 排序方式
"unit" : "km" // 排序的距离单位
}
}
]
}
- 指定一个坐标，作为目标点
- 计算每一个文档中，指定字段（必须是geo_point类型）的坐标 到目标点的距离是多少
- 根据距离排序
测试结果
6.1.2.2 java语法
/**
* @description 地理坐标排序
*
* @return void
* @author King
* @date 2023/8/28 13:36
*/
@Test
void tt() throws IOException {
SearchRequest request = new SearchRequest("test");
request.source()
.query(QueryBuilders.matchAllQuery())
.sort(SortBuilders
.geoDistanceSort("location",31.1,133.4)
.order(SortOrder.ASC)
.unit(DistanceUnit.KILOMETERS));
SearchResponse search = restHighLevelClient.search(request, RequestOptions.DEFAULT);
//结果响应。。。
}
6.2 分页
elasticsearch 默认情况下只返回top10的数据。而如果要查询更多数据就需要修改分页参数了。elasticsearch中通过修改from、size参数来控制要返回的分页结果：
- from：从第几个文档开始
- size：总共查询几个文档
6.2.1 es语法
GET /索引库/_search
{
"query": {
"match_all": {}
},
"from": 0, // 分页开始的位置，默认为0
"size": 10, // 期望获取的文档总数
"sort": [
{"price": "asc"}
]
}
测试结果
6.2.2 java语法
/**
* @description 分页查询
*
* @return void
* @author King
* @date 2023/8/28 14:05
*/
@Test
void tr() {
SearchRequest request = new SearchRequest("test");
request.source()
.query(QueryBuilders.matchAllQuery())
.from(1)
.size(10);
SearchResponse search = restHighLevelClient.search(request, RequestOptions.DEFAULT);
}
6.2.3深度分页问题
6.3 高亮
高亮显示的实现分为两步：
- 给文档中的所有关键字都添加一个标签，例如
<em>标签 - 页面给
<em>标签编写CSS样式
6.3.1 es语法
{
"query": {
"match": {
"FIELD": "TEXT" // 查询条件，高亮一定要使用全文检索查询
}
},
"highlight": {
"fields": { // 指定要高亮的字段
"FIELD": {
"pre_tags": "<em>", // 用来标记高亮字段的前置标签
"post_tags": "</em>" // 用来标记高亮字段的后置标签
}
}
}
}
注意：
- 高亮是对关键字高亮，因此搜索条件必须带有关键字，而不能是范围这样的查询。
- 默认情况下，高亮的字段，必须与搜索指定的字段一致，否则无法高亮
- 如果要对非搜索字段高亮，则需要添加一个属性：required_field_match=false
测试结果
6.3.2 Java语法
/**
* @description 高亮
*
* @return void
* @author King
* @date 2023/8/28 14:18
*/
@Test
void ta() throws IOException {
SearchRequest request = new SearchRequest("test");
HighlightBuilder highlightBuilder = new HighlightBuilder();
/* 添加多个高亮字段
List<HighlightBuilder.Field> fields = highlightBuilder.fields();
HighlightBuilder.Field field = new HighlightBuilder.Field("name");
HighlightBuilder.Field field2 = new HighlightBuilder.Field("brand");
field2.requireFieldMatch(false);
fields.add(field);
fields.add(field2);
*/
highlightBuilder.field("name");
request.source().query(QueryBuilders.matchQuery("name","如家")).highlighter(highlightBuilder);
SearchResponse search = restHighLevelClient.search(request, RequestOptions.DEFAULT);
SearchHit[] hits = search.getHits().getHits();
for (SearchHit hit : hits) {
// 获取文档source
String json = hit.getSourceAsString();
// 反序列化
Hotel hotel = JSON.parseObject(json, Hotel.class);
// 获取高亮结果
Map<String, HighlightField> highlightFields = hit.getHighlightFields();
if (!CollectionUtils.isEmpty(highlightFields)) {
// 根据字段名获取高亮结果
HighlightField highlightField = highlightFields.get("name");
if (highlightField != null) {
// 获取高亮值
String name = highlightField.getFragments()[0].string();
// 覆盖非高亮结果
hotel.setName(name);
}
}
System.out.println(hotel);
}
}
测试结果
7. 数据聚合
**聚合（aggregations）**可以让我们极其方便的实现对数据的统计、分析、运算。例如：
- 什么品牌的手机最受欢迎？
- 这些手机的平均价格、最高价格、最低价格？
- 这些手机每月的销售情况如何？
实现这些统计功能的比数据库的sql要方便的多，而且查询速度非常快，可以实现近实时搜索效果。
7.1 聚合的种类
聚合常见的有三类：
-
**桶（Bucket）**聚合：用来对文档做分组
- TermAggregation：按照文档字段值分组，例如按照品牌值分组、按照国家分组
- Date Histogram：按照日期阶梯分组，例如一周为一组，或者一月为一组
-
**度量（Metric）**聚合：用以计算一些值，比如：最大值、最小值、平均值等
- Avg：求平均值
- Max：求最大值
- Min：求最小值
- Stats：同时求max、min、avg、sum等
-
**管道（pipeline）**聚合：其它聚合的结果为基础做聚合
**注意：**参加聚合的字段必须是keyword、日期、数值、布尔类型
7.2 桶（Bucket）聚合
7.2.1 TermAggregation
7.2.1.1 es语法
{
"query": {
"range": {
"price": {
"lte": 200 // 只对200元以下的文档聚合
}
}
},
"size": 0, // 设置size为0，结果中不包含文档，只包含聚合结果
"aggs": { // 定义聚合
"brandAgg": { //给聚合起个名字
"terms": { // 聚合的类型，按照品牌值聚合，所以选择term
"field": "brand", // 参与聚合的字段
"order": {
"_count": "asc" // 按照_count升序排列
},
"size": 20 // 希望获取的聚合结果数量
}
}
}
}
7.2.1.2 java语法
/**
* @return void
* @description 桶（Bucket）聚合 - TermAggregation
* @author King
* @date 2023/8/29 16:54
*/
@Test
void tz() throws IOException {
SearchRequest request = new SearchRequest("test");
request.source()
.query(QueryBuilders.rangeQuery("price").lte(200))// 只对200元以下的文档聚合
.aggregation(AggregationBuilders
.terms("brandAgg")
.field("brand").size(20)
.order(BucketOrder.aggregation("_count", true))
.size(20))
.size(0);
SearchResponse search = restHighLevelClient.search(request, RequestOptions.DEFAULT);
//解析响应
SearchHits hits = search.getHits();
//总条数
long value = hits.getTotalHits().value;
System.out.println("总条数" + value);
Aggregations aggregations = search.getAggregations();
//Terms继承MultiBucketsAggregation->Aggregation->
Terms brandAgg = aggregations.get("brandAgg");
List<? extends Terms.Bucket> buckets = brandAgg.getBuckets();
for (Terms.Bucket bucket : buckets) {
String keyAsString = bucket.getKeyAsString();
System.out.println(keyAsString);
}
}
继承关系图
7.2.2 Date Histogram
参数
- field：要聚合的日期字段名称。
- interval：指定聚合的时间间隔。可以是秒、分、小时、天、周、月或年。
- format：指定日期格式，用于解析日期字段。默认为“epoch_millis”格式。
- time_zone：指定时区。默认为UTC。
- min_doc_count：指定每个时间间隔内最少需要包含的文档数。默认为0。
- order：指定排序方式，可以是升序（asc）或降序（desc）。
- extended_bounds：指定扩展范围，允许返回超出时间间隔的结果。可以指定min和max值。
- missing：指定当日期字段缺失时的聚合方式。可以是“_count”（返回缺失值数量）或“_key”（返回指定的缺失值）。
7.3 度量（Metric）聚合
7.3.1 Avg/Max/Min
7.3.1.1 es语法
{
"size": 0,
"aggs": {
"brandAgg": {
"terms": {
"field": "brand",
"size": 20
},
"aggs": { // 是brands聚合的子聚合，也就是分组后对每组分别计算
"score_avg": { // 聚合名称
"avg": { // 聚合类型，计算min、max、avg等
"field": "score" // 聚合字段，这里是score
}
}
}
}
}
}
测试结果
7.3.2 Stats：同时求max、min、avg、sum等
7.3.2.1 es语法
{
"size": 0,
"aggs": {
"brandAgg": {
"terms": {
"field": "brand",
"size": 20
},
"aggs": { // 是brands聚合的子聚合，也就是分组后对每组分别计算
"score_stats": { // 聚合名称
"stats": { // 聚合类型，这里stats可以计算min、max、avg等
"field": "score" // 聚合字段，这里是score
}
}
}
}
}
}
测试结果
7.3.2.2 Java语法
/**
* @description 度量（Metric）-Avg/Sum/Max/Min
*
* @return void
* @author King
* @date 2023/9/4 9:17
*/
@Test
void tx() throws IOException {
SearchRequest request = new SearchRequest("test");
request.source()
.size(0)
.aggregation(AggregationBuilders
.terms("brandAgg")
.field("brand")
.size(20).subAggregation(AggregationBuilders
.avg("score_avg")
.field("score")));
SearchResponse search = restHighLevelClient.search(request, RequestOptions.DEFAULT);
Aggregations aggregations = search.getAggregations();
//Terms继承MultiBucketsAggregation->Aggregation->
Terms brandAgg = aggregations.get("brandAgg");
List<? extends Terms.Bucket> buckets = brandAgg.getBuckets();
buckets.forEach(i -> {
String keyAsString = i.getKeyAsString();
System.out.print(keyAsString + " ");
Aggregations aggregations1 = i.getAggregations();
//Aggregation的一个子实现
ParsedAvg score_avg = aggregations1.get("score_avg");
double value = score_avg.getValue();
System.out.println(value);
});
}
文章来源：https://www.toymoban.com/news/detail-751763.html
/**
* @description 度量（Metric）-Stats
*
* @return void
* @author King
* @date 2023/9/4 9:17
*/
@Test
void tl() throws IOException {
SearchRequest request = new SearchRequest("test");
request.source()
.size(0)
.aggregation(AggregationBuilders
.terms("brandAgg")
.field("brand")
.size(20).subAggregation(AggregationBuilders
.stats("score_stats")
.field("score")));
SearchResponse search = restHighLevelClient.search(request, RequestOptions.DEFAULT);
Aggregations aggregations = search.getAggregations();
//Terms继承MultiBucketsAggregation->Aggregation->
Terms brandAgg = aggregations.get("brandAgg");
List<? extends Terms.Bucket> buckets = brandAgg.getBuckets();
buckets.forEach(i -> {
String keyAsString = i.getKeyAsString();
System.out.print(keyAsString + " ");
Aggregations aggregations1 = i.getAggregations();
//Aggregation的一个子实现
ParsedStats score_avg = aggregations1.get("score_stats");
double avg = score_avg.getAvg();
double max = score_avg.getMax();
double min = score_avg.getMin();
double sum = score_avg.getSum();
System.out.println("avg:"+avg+"max:"+max+"min"+min+"sum"+sum);
});
}
文章来源地址https://www.toymoban.com/news/detail-751763.html
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