1.引入pom依赖
- 主要引用 elasticsearch使用相关依赖
- 注意ES 服务端版本(7.4.0)要与客户端版本相容
- 注意 hutool的工具类 实体转map 版本
<!--引入springboot父工程依赖-->
<!--引入依赖作用:
可以省去version标签来获得一些合理的默认配置
-->
<parent>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-parent</artifactId>
<version>2.3.2.RELEASE</version>
</parent>
<dependencies>
<!--elasticsearch使用相关依赖-->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-elasticsearch</artifactId>
</dependency>
<!--引入提供Web开发场景依赖-->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<!--这里用到了类型转Map,这里用到hutool的工具类(版本高一些,低版本的 如果传的就是Map类型,在map转map时会报错)-->
<dependency>
<groupId>cn.hutool</groupId>
<artifactId>hutool-core</artifactId>
<version>5.7.13</version>
</dependency>
<!--用@Data 减少JavaBean get...set...方法-->
<dependency>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
</dependency>
<!--两个用来做测试的jar包-->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
</dependency>
<dependency>
<groupId>junit</groupId>
<artifactId>junit</artifactId>
</dependency>
</dependencies>
2.application 配置
spring:
elasticsearch:
rest:
uris: 127.0.0.1:9200 #---ES的连接地址,多个地址用逗号分隔
username: #---用户名
password: #---密码
connection-timeout: 1000 #---连接超时时间(默认1s)
read-timeout: 1000 #---读取超时时间(默认30s)
3.JavaBean配置以及ES相关注解
- 注解:@Document用来声明Java对象与ElasticSearch索引的关系
indexName 索引名称(是字母的话必须是小写字母)
type 索引类型
shards 主分区数量,默认5
replicas 副本分区数量,默认1
createIndex 索引不存在时,是否自动创建索引,默认true
不建议自动创建索引(自动创建的索引 是按着默认类型和默认分词器)- 注解:@Id 表示索引的主键
- 注解:@Field 用来描述字段的ES数据类型,是否分词等配置,等于Mapping描述
index 设置字段是否索引,默认是true,如果是false则该字段不能被查询
store 默认为no,被store标记的fields被存储在和index不同的fragment中,以便于快速检索。虽然store占用磁盘空间,但是减少了计算。
type 数据类型(text、keyword、date、object、geo等)
analyzer 对字段使用分词器,注意一般如果要使用分词器,字段的type一般是text。
format 定义日期时间格式,详细见 官方文档: https://www.elastic.co/guide/reference/mapping/date-format/.- 注解:@CompletionField 定义关键词索引 要完成补全搜索
analyzer 对字段使用分词器,注意一般如果要使用分词器,字段的type一般是text。
searchAnalyzer 显示指定搜索时分词器,默认是和索引是同一个,保证分词的一致性。
maxInputLength:设置单个输入的长度,默认为50 UTF-16 代码点
常用数据类型:
简单类型:
字符串类型: - string(不再支持)可知string类型的field已经被移除了, 我们需要用text或keyword类型来代替string.
text:会分词,不支持聚合
keyword:不会分词,将全部内容作为一个词条,支持聚合数字类型: 尽可能选择范围小的数据类型, 字段的长度越短, 索引和搜索的效率越高;(优先考虑使用带缩放因子的浮点类型)
byte : 有符号的8位整数, 范围: [-128 ~ 127]
short : 有符号的16位整数, 范围: [-32768 ~ 32767]
integer : 有符号的32位整数, 范围: [−231 ~ 231-1]
long : 有符号的64位整数, 范围: [−263 ~ 263-1]
float : 32位单精度浮点数
double : 64位双精度浮点数
half_float : 16位半精度IEEE 754浮点类型
scaled_float : 缩放类型的的浮点数, 比如price字段只需精确到分, 57.34缩放因子为100, 存储结果为5734日期类型:date JSON没有日期数据类型, 所以在ES中, 日期可以是:
— 包含格式化日期的字符串 “2018-10-01”, 或"2018/10/01 12:10:30" (可以通过 format属性 定义日期时间格式)DateFormat 官方文法.
— 代表时间毫秒数的长整型数字.
— 代表时间秒数的整数.布尔类型: boolean 可以接受表示真、假的字符串或数字:
— 真值: true, “true”, “on”, “yes”, “1”…
— 假值: false, “false”, “off”, “no”, “0”, “”(空字符串), 0.0, 0
复杂类型:
- 数组[]: 由数组中第一个非空值决定数组类型(type = FieldType.Keyword)
- List集合: 由数组中第一个非空值决定数组类型(type = FieldType.Keyword)
- 嵌套类型: list里泛型是object形式的或自定义对象(type = FieldType.Nested)
- 对象:{ }object for single JSON objects 单个JSON对象(type = FieldType.Object)
3.1 Student实体类
import lombok.AllArgsConstructor;
import lombok.Data;
import lombok.NoArgsConstructor;
import org.springframework.data.annotation.Id;
import org.springframework.data.elasticsearch.annotations.DateFormat;
import org.springframework.data.elasticsearch.annotations.Document;
import org.springframework.data.elasticsearch.annotations.Field;
import org.springframework.data.elasticsearch.annotations.FieldType;
import java.util.Date;
import java.util.List;
/*
* 学生
* */
@Data
@AllArgsConstructor
@NoArgsConstructor
//indexName名字如果是字母那么必须是小写字母
@Document(indexName = "student", type = "_doc", replicas = 1, shards = 1, createIndex = true)
public class Student {
@Id
@Field(index = true, store = true, type = FieldType.Keyword)
private String sId;
@Field(index = true, store = true, type = FieldType.Keyword)
private String sName;
@Field(index = true, store = true, type = FieldType.Text, analyzer = "ik_smart")
//Text可以分词 ik_smart=粗粒度分词 ik_max_word 为细粒度分词
private String sAddress;
@Field(index = false, store = true, type = FieldType.Integer)
private Integer sAge;
@Field(index = false, store = true, type = FieldType.Date, format = DateFormat.basic_date_time)
private Date sCreateTime;
@Field(index = false, store = true, type = FieldType.Object)
private Headmaster sHeadmaster;//班主任
@Field(index = true, store = false, type = FieldType.Keyword)
private String[] sCourseList; //数组类型 由数组中第一个非空值决定(这里数组和集合一个意思了)
@Field(index = true, store = false, type = FieldType.Keyword)
private List<String> sColorList; //集合类型 由数组中第一个非空值决定
@Field(index = true, store = false, type = FieldType.Nested)//嵌套类型list里泛型是object形式的或自定义对象
private List<Teacher> sTeacherList; //教所有科目的老师
}
3.2 Teacher实体类
import lombok.AllArgsConstructor;
import lombok.Data;
import lombok.NoArgsConstructor;
import org.springframework.data.annotation.Id;
import org.springframework.data.elasticsearch.annotations.*;
import org.springframework.data.elasticsearch.core.completion.Completion;
import java.util.Date;
/*
* 科目老师
* */
@Data
@NoArgsConstructor
@AllArgsConstructor
@Document(indexName = "teacher", type = "_doc", replicas = 1, shards = 1, createIndex = true)
public class Teacher {
//主键id
@Id
@Field(index = true, store = true, type = FieldType.Keyword)//index:设置通过这个字段是否可以进行搜索
private String tId;
//姓名
@Field(index = true, store = true, type = FieldType.Keyword)
private String tName;
//英文姓名
@Field(index = true, store = true, type = FieldType.Keyword)
private String tEnglishName;
//班级
@Field(index = true, store = true, type = FieldType.Keyword)
private String tClassName;
//地址
@Field(index = true, store = true, type = FieldType.Text, analyzer = "ik_smart")
private String tAddress;
//至理名言
@Field(index = true, store = true, type = FieldType.Keyword)
private String tFamous;
//年龄
@Field(index = true, store = true, type = FieldType.Integer)
private Integer tAge;
//日期
@Field(index = true, store = true, type = FieldType.Date, format = DateFormat.basic_date_time)
private Date tCreateTime;
//定义关键词索引 要完成补全搜索,必须要用到特殊的数据类型completion,
//要汉字拼音都能补全,必须要使用自定义的ik+pinyin分词器
// maxInputLength:设置单个输入的长度,默认为50 UTF-16 代码点
@CompletionField(analyzer = "ik_smart", searchAnalyzer = "ik_smart", maxInputLength = 100)
private Completion completion;
public Teacher(String tId, String tName, String tEnglishName, String tClassName, String tAddress, Integer tAge, Date tCreateTime) {
this.tId = tId;
this.tName = tName;
this.tEnglishName = tEnglishName;
this.tClassName = tClassName;
this.tAddress = tAddress;
this.tAge = tAge;
this.tCreateTime = tCreateTime;
}
}
3.3 Headmaster 实体类
import lombok.AllArgsConstructor;
import lombok.Data;
import lombok.NoArgsConstructor;
import org.springframework.data.elasticsearch.annotations.Document;
import org.springframework.data.elasticsearch.annotations.Field;
import org.springframework.data.elasticsearch.annotations.FieldType;
import java.util.Date;
import java.util.List;
/*
* 班主任
* */
@Data
@NoArgsConstructor
@AllArgsConstructor
@Document(indexName = "headmaster", type = "_doc", replicas = 1, shards = 1, createIndex = true)
public class Headmaster {
@Field(index = true, store = false, type = FieldType.Keyword)
private String hId;
@Field(index = true, store = false, type = FieldType.Keyword)
private String hName;
@Field(index = true, store = false, type = FieldType.Keyword)
private String hAddress;
@Field(index = false, store = false, type = FieldType.Integer)
private Integer hSalary;
@Field(index = false, store = false, type = FieldType.Keyword)
private List<String> hClass;
@Field(index = true, store = true, type = FieldType.Date, format = DateFormat.basic_date_time)
private Date hCreateTime;
}
4. 启动类配置
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
/*
* 搜索引擎客户端启动类
* */
@SpringBootApplication
public class ElasticsearchApplication {
public static void main(String[] args) {
SpringApplication.run(ElasticsearchApplication.class, args);
}
}
5.elasticsearchRestTemplate 新增
-
5.1 createIndex && putMapping 创建索引及映射
- createIndex :新增索引(数据库)
- putMapping :新增映射(表结构)
- 一定要通过这种方法创建,否则创建出来的映射都是默认的
createIndex && putMapping 创建索引及映射测试
- 入参classType : 对象是要被ES注解所引用的的(基于@Field和@Documen注解属性 创建索引和映射)
-
5.1.1 Controller层
import com.it.mhh.elasticsearch.service.ElasticsearchSaveService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.*;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述: 新增类
*/
@RestController
@RequestMapping("/elasticSearch/save")
public class ElasticsearchSaveController {
@Autowired
private ElasticsearchSaveService elasticsearchSaveService;
/**
* @param classType : 要创建es的索引及映射(一定要通过这种方法创建,否则都是创建出来的映射都是默认的)基于传入对象中的@Document注解
* @return boolean
* @throws
* @Author Mhh
* @Date 2021/12/9 10:43
*/
@PostMapping("createIndexAndMapping")
public boolean createIndexAndMapping(Class<?> classType) {
return elasticsearchSaveService.createIndexAndMapping(classType);
}
}
5.1.2 service层
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述: 新增
*/
public interface ElasticsearchSaveService {
/**
* @param classType : 要创建es的索引及映射(一定要通过这种方法创建,否则都是创建出来的映射都是默认的)基于传入对象中的@Document注解
* @return boolean
* @throws
* @Author Mhh
* @Date 2021/12/9 10:43
*/
boolean createIndexAndMapping(Class<?> classType);
}
5.1.3 serviceimpl层
import com.it.mhh.elasticsearch.service.ElasticsearchSaveService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.elasticsearch.core.ElasticsearchRestTemplate;
import org.springframework.stereotype.Service;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述: 新增
*/
@Service
public class ElasticsearchSaveServiceImp implements ElasticsearchSaveService {
@Autowired
private ElasticsearchRestTemplate elasticsearchRestTemplate;
/**
* @param classType : 要创建es的索引及映射(一定要通过这种方法创建,否则都是创建出来的映射都是默认的)基于传入对象中的@Document注解
* @return boolean
* @throws
* @Author Mhh
* @Date 2021/12/9 10:43
*/
@Override
public boolean createIndexAndMapping(Class<?> classType) {
if (elasticsearchRestTemplate.indexExists(classType))
return true;
boolean index = elasticsearchRestTemplate.createIndex(classType);
boolean mapping = elasticsearchRestTemplate.putMapping(classType);
return index && mapping;
}
}
createIndex && putMapping 创建索引及映射测试结果:
- 根据入参对象 ES注解 创建索引及映射
import com.it.mhh.elasticsearch.controller.ElasticsearchSaveController;
import com.it.mhh.elasticsearch.entity.Headmaster;
import com.it.mhh.elasticsearch.entity.Student;
import com.it.mhh.elasticsearch.entity.Teacher;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.data.elasticsearch.core.completion.Completion;
import org.springframework.test.context.junit4.SpringRunner;
import java.util.*;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述: 测试
*/
@SpringBootTest
@RunWith(SpringRunner.class)
public class ElasticsearchSaveControllerTest {
@Autowired
private ElasticsearchSaveController elasticsearchSaveController;
/**
* @param classType : 要创建es的索引及映射(一定要通过这种方法创建,否则都是创建出来的映射都是默认的)基于传入对象中的@Document注解
* @return boolean
* @throws
* @Author Mhh
* @Date 2021/12/9 10:43
*/
@Test
public void createIndexAndMapping() {
boolean indexAndMapping = elasticsearchSaveController.createIndexAndMapping(Student.class);
System.err.println(indexAndMapping);
}
}
-
5.2 save 添加文档
- save(Iterable entities):可传集合 批量添加(同种类对象集合)
- save(T entity) :单个对象
- save(T… entities) : 可变参
save 添加文档测试
- 入参entities :有重载 可传集合 单个 或者 可变参
-
5.2.1 Controller层
import com.it.mhh.elasticsearch.service.ElasticsearchSaveService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.*;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述: 新增类
*/
@RestController
@RequestMapping("/elasticSearch/save")
public class ElasticsearchSaveController {
@Autowired
private ElasticsearchSaveService elasticsearchSaveService;
/**
* @param entities : 入参对象(必须是被@Document注解注释的)【入参 可传单个 T,集合Iterable<T>,可变参 T... 】
* @return T 反参对象
* @explain : 添加文档
* @Author Mhh
* @Date 2021/12/27 10:55
*/
@PostMapping("saveList")
public <T> Iterable<T> save(@RequestBody Iterable<T> entities) {
return elasticsearchSaveService.save(entities);
}
/**
* @param t : 入参对象(必须是被@Document注解注释的)【入参 可传单个 T,集合Iterable<T>,可变参 T... 】
* @return T 反参对象
* @explain : 添加文档
* @Author Mhh
* @Date 2021/12/27 10:55
*/
@PostMapping("save")
public <T> T save(@RequestBody T t) {
return elasticsearchSaveService.save(t);
}
}
5.2.2 service层
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述: 新增
*/
public interface ElasticsearchSaveService {
/**
* @param entities : 入参对象(必须是被@Document注解注释的)【入参 可传单个 T,集合Iterable<T>,可变参 T... 】
* @return T 反参对象
* @explain : 添加文档
* @Author Mhh
* @Date 2021/12/27 10:55
*/
public <T> Iterable<T> save(Iterable<T> entities);
/**
* @param t : 入参对象(必须是被@Document注解注释的)【入参 可传单个 T,集合Iterable<T>,可变参 T... 】
* @return T 反参对象
* @explain : 添加文档
* @Author Mhh
* @Date 2021/12/27 10:55
*/
public <T> T save(T t);
}
5.2.3 serviceimpl层
import com.it.mhh.elasticsearch.service.ElasticsearchSaveService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.elasticsearch.core.ElasticsearchRestTemplate;
import org.springframework.stereotype.Service;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述: 新增
*/
@Service
public class ElasticsearchSaveServiceImp implements ElasticsearchSaveService {
@Autowired
private ElasticsearchRestTemplate elasticsearchRestTemplate;
/**
* @param entities : 入参对象(必须是被@Document注解注释的)【入参 可传单个 T,集合Iterable<T>,可变参 T... 】
* @return T 反参对象
* @explain : 添加文档
* @Author Mhh
* @Date 2021/12/27 10:55
*/
@Override
public <T> Iterable<T> save(Iterable<T> entities) {
return elasticsearchRestTemplate.save(entities);
}
/**
* @param t : 入参对象(必须是被@Document注解注释的)【入参 可传单个 T,集合Iterable<T>,可变参 T... 】
* @return T 反参对象
* @explain : 添加文档
* @Author Mhh
* @Date 2021/12/27 10:55
*/
@Override
public <T> T save(T t) {
return elasticsearchRestTemplate.save(t);
}
}
save 添加文档测试结果:
- 根据被ES注解引用的入参对象存入相应索引中
import com.it.mhh.elasticsearch.controller.ElasticsearchSaveController;
import com.it.mhh.elasticsearch.entity.Headmaster;
import com.it.mhh.elasticsearch.entity.Student;
import com.it.mhh.elasticsearch.entity.Teacher;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.data.elasticsearch.core.completion.Completion;
import org.springframework.test.context.junit4.SpringRunner;
import java.util.*;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述: 测试
*/
@SpringBootTest
@RunWith(SpringRunner.class)
public class ElasticsearchSaveControllerTest {
@Autowired
private ElasticsearchSaveController elasticsearchSaveController;
/**
* @param entities : 入参对象(必须是被@Document注解注释的)【入参 可传单个 T,集合Iterable<T>,可变参 T... 】
* @return T 反参对象
* @explain : 添加文档
* @Author Mhh
* @Date 2021/12/27 10:55
*/
@Test
public void savesStudentES() {
Headmaster headmaster = new Headmaster("1", "小白主任", "山东", 7500, Arrays.asList("一班", "二班"), new Date());//班主任
List<String> colorList = new ArrayList<>();//颜色
colorList.add("red");
colorList.add("white");
colorList.add("black");
List<Teacher> teacherList = new ArrayList<>();//所有科目老师
teacherList.add(new Teacher("2", "小黑", "black", "一班", "山东省济南市历下区", 13, new Date()));
teacherList.add(new Teacher("2", "小蓝", "blue", "二班", "山东省菏泽市单县", 14, new Date()));
Student student = new Student("1", "mhh", "济南", 12, new Date(), headmaster, new String[]{"语文", "数学", "英语"}, colorList, teacherList);
Student save = elasticsearchSaveController.save(student);
System.out.println(save);
}
/**
* @param entities : 入参对象(必须是被@Document注解注释的)【入参 可传单个 T,集合Iterable<T>,可变参 T... 】
* @return T 反参对象
* @explain : 添加文档
* @Author Mhh
* @Date 2021/12/27 10:55
*/
@Test
public void savesTeacherES() {
Teacher teacher = new Teacher("1", "小黑老师", "black", "一班", "河北省保定市莲池区", 14, new Date());
Teacher save = elasticsearchSaveController.save(teacher);
System.out.println(save);
}
/**
* @param entities : 入参对象(必须是被@Document注解注释的)【入参 可传单个 T,集合Iterable<T>,可变参 T... 】
* @return T 反参对象
* @explain : 添加文档
* @Author Mhh
* @Date 2021/12/27 10:55
*/
@Test
public void savesTeacherListES() {
List<Teacher> teacherList = new ArrayList<>();
teacherList.add(new Teacher("1", "小黑老师", "black", "一班", "山东省泰安市岱岳区","且随疾风前行,身后亦须留心", 15, new Date(), new Completion(new String[]{"山东省泰安市岱岳区"})));
teacherList.add(new Teacher("2", "小白老师", "white", "二班", "山东省济南市历下区", "此剑之势,愈斩愈烈",17, new Date(), new Completion(new String[]{"山东省济南市历下区"})));
teacherList.add(new Teacher("3", "小黄老师", "yellow", "二班", "河北省保定市莲池区", "荣耀存于心,而非流于形",18, new Date(), new Completion(new String[]{"河北省保定市莲池区"})));
teacherList.add(new Teacher("5", "小蓝教授", "blue", "二班", "山东省济南市高新区", "吾之初心,永世不忘",21, new Date(), new Completion(new String[]{"山东省济南市高新区"})));
teacherList.add(new Teacher("4", "小绿教授", "green", "一班", "山西省太原市杏花岭区", "有些失误无法犯两次",24, new Date(), new Completion(new String[]{"山西省太原市杏花岭区"})));
Iterable<Teacher> save = elasticsearchSaveController.save(teacherList);
System.out.println(save);
}
}
6.elasticsearchRestTemplate 删除
-
6.1 deleteIndex 删除索引
- deleteIndex :删除索引(数据库)
deleteIndex 删除索引测试
- 入参classType : 删除的哪个索引(从传入对象中的@Document注解中indexName属性获取)
-
6.1.1 Controller层
import com.it.mhh.elasticsearch.service.ElasticsearchDeleteService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.elasticsearch.core.query.Query;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RequestParam;
import org.springframework.web.bind.annotation.RestController;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述: 删除类
*/
@RestController
@RequestMapping("/elasticSearch/delete")
public class ElasticsearchDeleteController {
@Autowired
private ElasticsearchDeleteService elasticsearchDeleteService;
/**
* @param clazz : 删除的哪个索引(从传入对象中的@Document注解中indexName属性获取)
* @return java.lang.Boolean
* @explain : 删除索引
* @Author Mhh
* @Date 2021/12/27 14:27
*/
@PostMapping("deleteIndex")
public Boolean deleteIndex(Class<?> clazz) {
return elasticsearchDeleteService.deleteIndex(clazz);
}
}
6.1.2 service层
import org.springframework.data.elasticsearch.core.query.Query;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述: 查询
*/
public interface ElasticsearchDeleteService {
/**
* @param clazz : 删除的哪个索引(从传入对象中的@Document注解中indexName属性获取)
* @return java.lang.Boolean
* @explain : 删除索引
* @Author Mhh
* @Date 2021/12/27 14:27
*/
public Boolean deleteIndex(Class<?> clazz);
}
6.1.3 serviceimpl层
import com.it.mhh.elasticsearch.service.ElasticsearchDeleteService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.elasticsearch.core.ElasticsearchRestTemplate;
import org.springframework.data.elasticsearch.core.query.Query;
import org.springframework.stereotype.Service;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述:
*/
@Service
public class ElasticsearchDeleteServiceImp implements ElasticsearchDeleteService {
@Autowired
private ElasticsearchRestTemplate elasticsearchRestTemplate;
/**
* @param clazz : 删除的哪个索引(从传入对象中的@Document注解中indexName属性获取)
* @return java.lang.Boolean
* @explain : 删除索引
* @Author Mhh
* @Date 2021/12/27 14:27
*/
public Boolean deleteIndex(Class<?> clazz) {
return elasticsearchRestTemplate.deleteIndex(clazz);
}
}
deleteIndex 删除索引测试结果:
- 根据入参对象 ES@Document注解中indexName属性值删除索引
- 如果删除的 索引名不存在 返回false
import com.it.mhh.elasticsearch.controller.ElasticsearchDeleteController;
import com.it.mhh.elasticsearch.entity.Teacher;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.index.query.TermsQueryBuilder;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.data.elasticsearch.core.query.NativeSearchQuery;
import org.springframework.test.context.junit4.SpringRunner;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述:
*/
@SpringBootTest
@RunWith(SpringRunner.class)
public class ElasticsearchDeleteControllerTest {
@Autowired
private ElasticsearchDeleteController elasticsearchDeleteController;
/**
* @param clazz : 删除的哪个索引(从传入对象中的@Document注解中indexName属性获取)
* @return java.lang.Boolean
* @explain : 删除索引
* @Author Mhh
* @Date 2021/12/27 14:27
*/
@Test
public void deleteIndex() {
Boolean aBoolean = elasticsearchDeleteController.deleteIndex(Teacher.class);
System.err.println(aBoolean);
}
}
-
6.2 delete 删除文档(通过主键删除)
- delete(Object entity):通过入参对象主键删除
- delete(String id, Class<?> entityType) id表示要删除的主键,entityType表示 被@Document注解且有indexName属性值(indexName属性值为索引名)
delete(通过主键删除) 删除文档测试
- 两种入参形式 都是通过主键id删除,即使入参对象其它属性设置了值也是通过主键id删除
-
6.2.1 Controller层
import com.it.mhh.elasticsearch.service.ElasticsearchDeleteService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.elasticsearch.core.query.Query;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RequestParam;
import org.springframework.web.bind.annotation.RestController;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述: 删除类
*/
@RestController
@RequestMapping("/elasticSearch/delete")
public class ElasticsearchDeleteController {
@Autowired
private ElasticsearchDeleteService elasticsearchDeleteService;
/**
* @param id : 要删除的主键id
* @param entityType : 删除的哪个索引的数据(从传入对象中的@Document注解中indexName属性获取)
* @return java.lang.Boolean
* @throws
* @Author Mhh
* @Date 2021/12/9 10:40
*/
@PostMapping("deleteById")
public Boolean delete(@RequestParam("id") String id, Class<?> entityType) {
return elasticsearchDeleteService.delete(id, entityType);
}
/**
* @param entity : 这个实体对象必须是被@Document注解且有indexName属性值) 以及主键必须有值,其它参数有无都没关系(和用主键id删除没区别)
* @return java.lang.Boolean
* @throws
* @Author Mhh
* @Date 2021/12/9 10:40
*/
@PostMapping("delete")
public Boolean delete(Object entity) {
return elasticsearchDeleteService.delete(entity);
}
}
6.2.2 service层
import org.springframework.data.elasticsearch.core.query.Query;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述: 查询
*/
public interface ElasticsearchDeleteService {
/**
* @param id : 要删除的主键id
* @param entityType : 删除的哪个索引的数据(从传入对象中的@Document注解中indexName属性获取)
* @return java.lang.Boolean
* @throws
* @Author Mhh
* @Date 2021/12/9 10:40
*/
Boolean delete(String id, Class<?> entityType);
/**
* @param entity : 这个实体对象必须是被@Document注解且有indexName属性值) 以及主键必须有值,其它参数有无都没关系(和用主键id删除没区别)
* @return java.lang.Boolean
* @throws
* @Author Mhh
* @Date 2021/12/9 10:40
*/
public Boolean delete(Object entity);
}
6.2.3 serviceimpl层
import com.it.mhh.elasticsearch.service.ElasticsearchDeleteService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.elasticsearch.core.ElasticsearchRestTemplate;
import org.springframework.data.elasticsearch.core.query.Query;
import org.springframework.stereotype.Service;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述:
*/
@Service
public class ElasticsearchDeleteServiceImp implements ElasticsearchDeleteService {
@Autowired
private ElasticsearchRestTemplate elasticsearchRestTemplate;
/**
* @param id : 要删除的主键id
* @param entityType : 删除的哪个索引的数据(从传入对象中的@Document注解中indexName属性获取)
* @return java.lang.Boolean
* @throws
* @Author Mhh
* @Date 2021/12/9 10:40
*/
@Override
public Boolean delete(String id, Class<?> entityType) {
String delete = elasticsearchRestTemplate.delete(id, entityType);
return true;
}
/**
* @param entity : 这个实体对象必须是被@Document注解且有indexName属性值) 以及主键必须有值,其它参数有无都没关系(和用主键id删除没区别)
* @return java.lang.Boolean
* @throws
* @Author Mhh
* @Date 2021/12/9 10:40
*/
@Override
public Boolean delete(Object entity) {
String delete = elasticsearchRestTemplate.delete(entity);
return true;
}
}
delete(通过主键删除) 删除文档测试结果:
- 根据入参对象 ES@Document注解中indexName属性值查询删除哪哥索引中文档
- 如果删除的指定索引名中的文档 索引名不存在 报错
- 即使删除的文档不存在 ES依旧返回删除的主键
import com.it.mhh.elasticsearch.controller.ElasticsearchDeleteController;
import com.it.mhh.elasticsearch.entity.Teacher;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.index.query.TermsQueryBuilder;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.data.elasticsearch.core.query.NativeSearchQuery;
import org.springframework.test.context.junit4.SpringRunner;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述:
*/
@SpringBootTest
@RunWith(SpringRunner.class)
public class ElasticsearchDeleteControllerTest {
@Autowired
private ElasticsearchDeleteController elasticsearchDeleteController;
/**
* @param entity : 这个实体对象必须是被@Document注解且有indexName属性值) 以及主键必须有值,其它参数有无都没关系(和用主键id删除没区别)
* @return java.lang.Boolean
* @throws
* @Author Mhh
* @Date 2021/12/9 10:40
*/
@Test
public void deleteByIdES() {
Teacher teacher = new Teacher();
teacher.setTId("3");
teacher.setTName("mhh");//没有用处,根据主键删除
Boolean delete = elasticsearchDeleteController.delete(teacher);
//==
Boolean aBoolean = elasticsearchDeleteController.delete("3", Teacher.class);
System.err.println(aBoolean);//true
}
}
-
6.3 delete 删除文档(删除通过query所搜索到的所有数据)
- delete(Query query, Class<?> clazz, IndexCoordinates index)
query:查询语法 包含(term查询、terms查询、match查询、范围查询、模糊查询…)
clazz: 来指定查询字段和结果后返回的实例对象
indx: 指定索引
delete(删除通过query所搜索到的所有数据) 删除文档测试
- 删除掉被query所搜索到的所有数据。
-
6.3.1 Controller层
import com.it.mhh.elasticsearch.service.ElasticsearchDeleteService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.elasticsearch.core.query.Query;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RequestParam;
import org.springframework.web.bind.annotation.RestController;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述: 删除类
*/
@RestController
@RequestMapping("/elasticSearch/delete")
public class ElasticsearchDeleteController {
@Autowired
private ElasticsearchDeleteService elasticsearchDeleteService;
/**
* @param query : 删除掉被query所搜索到的所有数据。
* @param entity : 删除的哪个索引的数据(从传入对象中的@Document注解中indexName属性获取)
* @return java.lang.Boolean
* @explain :
* @Author Mhh
* @Date 2021/12/27 14:22
*/
@PostMapping("deleteByQuery")
public Boolean delete(Query query, Class<?> entity) {
return elasticsearchDeleteService.delete(query, entity);
}
}
6.3.2 service层
import org.springframework.data.elasticsearch.core.query.Query;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述: 查询
*/
public interface ElasticsearchDeleteService {
/**
* @param query : 删除掉被query所搜索到的所有数据。
* @param entity : 删除的哪个索引的数据(从传入对象中的@Document注解中indexName属性获取)
* @return java.lang.Boolean
* @explain :
* @Author Mhh
* @Date 2021/12/27 14:22
*/
public Boolean delete(Query query, Class<?> entity);
}
6.3.3 serviceimpl层
import com.it.mhh.elasticsearch.service.ElasticsearchDeleteService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.elasticsearch.core.ElasticsearchRestTemplate;
import org.springframework.data.elasticsearch.core.query.Query;
import org.springframework.stereotype.Service;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述:
*/
@Service
public class ElasticsearchDeleteServiceImp implements ElasticsearchDeleteService {
@Autowired
private ElasticsearchRestTemplate elasticsearchRestTemplate;
/**
* @param query : 删除掉被query所搜索到的所有数据。
* @param entity : 删除的哪个索引的数据(从传入对象中的@Document注解中indexName属性获取)
* @return java.lang.Boolean
* @explain :
* @Author Mhh
* @Date 2021/12/27 14:22
*/
public Boolean delete(Query query, Class<?> entity) {
elasticsearchRestTemplate.delete(query, entity, elasticsearchRestTemplate.getIndexCoordinatesFor(entity));
return true;
}
}
delete(删除通过query所搜索到的所有数据) 删除文档测试结果:
- 通过match词条分词 取并集查询后 结果被删除
- ik_smart: 粗粒度分词 山东省济南市 被分为(“山东省”,“济南市”)
- 只要tAddress字段里包含 山东省和济南市 就会被查询到 然后被删除
import com.it.mhh.elasticsearch.controller.ElasticsearchDeleteController;
import com.it.mhh.elasticsearch.entity.Teacher;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.index.query.TermsQueryBuilder;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.data.elasticsearch.core.query.NativeSearchQuery;
import org.springframework.test.context.junit4.SpringRunner;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述:
*/
@SpringBootTest
@RunWith(SpringRunner.class)
public class ElasticsearchDeleteControllerTest {
@Autowired
private ElasticsearchDeleteController elasticsearchDeleteController;
/**
* @param query : 删除掉被query所搜索到的所有数据。
* @param entity : 删除的哪个索引的数据(从传入对象中的@Document注解中indexName属性获取)
* @return java.lang.Boolean
* @explain :
* @Author Mhh
* @Date 2021/12/27 14:22
*/
@Test
public void deleteByQuery() {
//查询条件(词条查询:对应ES query里的match)
MatchQueryBuilder matchQueryBuilder = QueryBuilders.matchQuery("tAddress", "山东省济南市").operator(Operator.AND).analyzer("ik_smart");
//创建查询条件构建器SearchSourceBuilder(对应ES外面的大括号)
NativeSearchQuery nativeSearchQuery = new NativeSearchQuery(matchQueryBuilder);
Boolean aBoolean = elasticsearchDeleteController.delete(nativeSearchQuery, Teacher.class);
System.err.println(aBoolean);
}
}
7.elasticsearchRestTemplate 修改
-
7.1 update 修改文档(根据主键修改)
- update(UpdateQuery query, IndexCoordinates index)
query:要修改参数的主键及修改值
index:指定索引- bulkUpdate(
List<UpdateQuery>
queries, IndexCoordinates index):批量修改
update 修改文档(根据主键修改)测试
- id: 表示要修改哪个文档(_id)
- object:要修改的值对象(这里的对象最终都会转成Map)注意 这里属性值如果是空或null的话 那么也会被更新
用的 hutool-core转map(版本高一些,低版本的 如果传的就是Map类型,在map转map时会报错 – 5.7.13)- classType : 修改的哪个索引实体 (主要是获取对象里面@Document注解indexName属性获取修改哪个索引里的数据
-
7.1.1 Controller层
import com.it.mhh.elasticsearch.service.ElasticsearchUpdateService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.*;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述: 修改类
*/
@RestController
@RequestMapping("/elasticSearch/update")
public class ElasticsearchUpdateController {
@Autowired
private ElasticsearchUpdateService elasticsearchUpdateService;
/**
* @param id : 主键id(es里的_id)
* @param object : 要修改的数据(这里的值都会转成Map)注意 这里入参如果是空或null的话 那么也会被更新
* // 用的 hutool-core转map(版本高一些,低版本的 如果传的就是Map类型,在map转map时会报错 -- 5.7.13)
* @param classType : 修改的哪个索引实体 (主要是获取对象里面@Document注解indexName属性获取修改哪个索引里的数据
* @return java.lang.Boolean
* @explain : 根据主键修改数据
* @Author Mhh
* @Date 2021/12/27 11:16
*/
@PostMapping("update")
public Boolean update(@RequestParam("id") String id, @RequestBody Object object, Class<?> classType) {
return elasticsearchUpdateService.update(id, object, classType);
}
}
7.1.2 service层
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述: 修改
*/
public interface ElasticsearchUpdateService {
/**
* @param id : 主键id(es里的_id)
* @param object : 要修改的数据(这里的值都会转成Map)注意 这里入参属性值如果是空或null的话 那么也会被更新
* // 用的 hutool-core转map(版本高一些,低版本的 如果传的就是Map类型,在map转map时会报错 -- 5.7.13)
* @param classType : 修改的哪个索引实体 (主要是获取对象里面@Document注解indexName属性获取修改哪个索引里的数据
* @return java.lang.Boolean
* @explain : 根据主键修改数据
* @Author Mhh
* @Date 2021/12/27 11:16
*/
Boolean update(String id, Object object, Class<?> classType);
}
7.1.3 serviceimpl层
import cn.hutool.core.bean.BeanUtil;
import com.it.mhh.elasticsearch.service.ElasticsearchUpdateService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.elasticsearch.annotations.Document;
import org.springframework.data.elasticsearch.core.ElasticsearchRestTemplate;
import org.springframework.data.elasticsearch.core.mapping.IndexCoordinates;
import org.springframework.data.elasticsearch.core.query.UpdateQuery;
import org.springframework.data.elasticsearch.core.query.UpdateResponse;
import org.springframework.stereotype.Service;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述: 修改
*/
@Service
public class ElasticsearchUpdateServiceImp implements ElasticsearchUpdateService {
@Autowired
private ElasticsearchRestTemplate elasticsearchRestTemplate;
/**
* @param id : 主键id(es里的_id)
* @param object : 要修改的数据(这里的值都会转成Map)注意 这里入参如果是空或null的话 那么也会被更新
* // 用的 hutool-core转map(版本高一些,低版本的 如果传的就是Map类型,在map转map时会报错 -- 5.7.13)
* @param classType : 修改的哪个索引实体 (主要是获取对象里面@Document注解indexName属性获取修改哪个索引里的数据
* @return java.lang.Boolean
* @explain : 根据主键修改数据
* @Author Mhh
* @Date 2021/12/27 11:16
*/
@Override
public Boolean update(String id, Object object, Class<?> classType) {
UpdateQuery.Builder builder = UpdateQuery.builder(id)
.withDocument(org.springframework.data.elasticsearch.core.document.Document.from(BeanUtil.beanToMap(object)));
IndexCoordinates of = IndexCoordinates.of(classType.getAnnotation(Document.class).indexName());
UpdateResponse update = elasticsearchRestTemplate.update(builder.build(), of);
return true;
}
}
update 修改文档(根据主键修改)测试结果:
- 据主键id修改(这里如果修改时没找到主键id就会报错)
- 这里可以复用es的插入(存入时es里已经有此主键就是修改,没有就是新增)
- 注意属性值是否为null值 es不会分辨 只会更新(即使是null值也会更新)
import com.it.mhh.elasticsearch.controller.ElasticsearchSelectController;
import com.it.mhh.elasticsearch.controller.ElasticsearchUpdateController;
import com.it.mhh.elasticsearch.entity.Teacher;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.test.context.junit4.SpringRunner;
import java.util.HashMap;
import java.util.Map;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述:
*/
@SpringBootTest
@RunWith(SpringRunner.class)
public class ElasticsearchUpdateControllerTest {
@Autowired
private ElasticsearchSelectController elasticsearchSelectController;
@Autowired
private ElasticsearchUpdateController elasticsearchUpdateController;
/*
* 根据主键id修改(这里如果修改时没找到主键id就会报错)[这里可以复用es的插入(存入时es里已经有此主键就是修改,没有就是删除)]
* */
@Test
public void updateByIdES() {
Teacher teacher = elasticsearchSelectController.get("2", Teacher.class);
//Teacher(tId=2, tName=小白老师, tEnglishName=white, tClassName=二班, tAddress=山东省济南市历下区, tFamous=此剑之势,愈斩愈烈, tAge=17, tCreateTime=Wed Dec 29 14:20:50 CST 2021, completion=org.springframework.data.elasticsearch.core.completion.Completion@6cd2cb2)
System.err.println(teacher);
Map<String, Object> map = new HashMap<>();
map.put("tName", "mhh");
map.put("tAge", 11);
map.put("tAddress",null);
Boolean aBoolean = elasticsearchUpdateController.update("2", map, Teacher.class);//这里建议用map形式的(主要是它不能像sql智能,校验null:如果传了字段是null,那么就会修改成为null)
System.err.println(aBoolean);//true
teacher = elasticsearchSelectController.get("2", Teacher.class);
//Teacher(tId=2, tName=mhh, tEnglishName=white, tClassName=二班, tAddress=null, tFamous=此剑之势,愈斩愈烈, tAge=11, tCreateTime=Wed Dec 29 14:20:50 CST 2021, completion=org.springframework.data.elasticsearch.core.completion.Completion@1d1cfe4)
System.err.println(teacher);
}
}
8.elasticsearchRestTemplate 查询
-
8.1 get 查询文档(根据主键查询)
- get(String id, Class<?> clazz)
id:文档主键
clazz:类对象(用来获取这个对象中的@Document注解中indexName属性[表示查询那个索引])
get 查询文档(根据主键查询)测试
- 根据主键id查询数据
-
8.1.1 Controller层
import com.it.mhh.elasticsearch.service.ElasticsearchSelectService;
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.Operator;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.domain.Sort;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;
import java.io.IOException;
import java.util.List;
import java.util.Map;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述: 查询类
*/
@RestController
@RequestMapping("/elasticSearch/select")
public class ElasticsearchSelectController {
@Autowired
private ElasticsearchSelectService elasticsearchSelectService;
/**
* @param id : 主键id
* @param classType : 类对象(用来获取这个对象中的@Document注解中indexName属性[表示查询那个索引])
* @return T
* @explain : 根据主键id查询数据
* @Author Mhh
* @Date 2021/12/10 10:46
*/
@PostMapping("get")
public <T> T get(String id, Class<T> classType) {
return elasticsearchSelectService.get(id, classType);
}
}
8.1.2 service层
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.Operator;
import org.springframework.data.domain.Sort;
import java.io.IOException;
import java.util.List;
import java.util.Map;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述: 查询
*/
public interface ElasticsearchSelectService {
/**
* @param id : 主键id
* @param classType : 类对象(用来获取这个对象中的@Document注解中indexName属性[表示查询那个索引])
* @return T
* @explain : 根据主键id查询数据
* @Author Mhh
* @Date 2021/12/10 10:46
*/
public <T> T get(String id, Class<T> classType);
}
8.1.3 serviceimpl层
import com.it.mhh.elasticsearch.service.ElasticsearchSelectService;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.client.indices.AnalyzeRequest;
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.*;
import org.elasticsearch.search.aggregations.Aggregation;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.aggregations.bucket.terms.Terms;
import org.elasticsearch.search.aggregations.bucket.terms.TermsAggregationBuilder;
import org.elasticsearch.search.aggregations.metrics.*;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.search.suggest.*;
import org.elasticsearch.search.suggest.completion.CompletionSuggestionBuilder;
import org.elasticsearch.search.suggest.phrase.PhraseSuggestionBuilder;
import org.elasticsearch.search.suggest.term.TermSuggestionBuilder;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.domain.PageRequest;
import org.springframework.data.domain.Sort;
import org.springframework.data.elasticsearch.annotations.Document;
import org.springframework.data.elasticsearch.core.ElasticsearchRestTemplate;
import org.springframework.data.elasticsearch.core.SearchHit;
import org.springframework.data.elasticsearch.core.SearchHits;
import org.springframework.data.elasticsearch.core.aggregation.AggregatedPage;
import org.springframework.data.elasticsearch.core.mapping.IndexCoordinates;
import org.springframework.data.elasticsearch.core.query.NativeSearchQuery;
import org.springframework.data.elasticsearch.core.query.NativeSearchQueryBuilder;
import org.springframework.stereotype.Service;
import java.io.IOException;
import java.lang.reflect.Field;
import java.util.*;
import java.util.stream.Collectors;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述:
*/
@Service
public class ElasticsearchSelectServiceImp implements ElasticsearchSelectService {
@Autowired
private ElasticsearchRestTemplate elasticsearchRestTemplate;
/**
* @param id : 主键id
* @param classType : 类对象(用来获取这个对象中的@Document注解中indexName属性[表示查询那个索引])
* @return T
* @explain : 根据主键id查询数据
* @Author Mhh
* @Date 2021/12/10 10:46
*/
@Override
public <T> T get(String id, Class<T> classType) {
T t = elasticsearchRestTemplate.get(id, classType);
return t;
}
}
get 查询文档(根据主键查询)测试结果:
- 根据主键id查询结果
- 获取不到就是null
import com.it.mhh.elasticsearch.controller.ElasticsearchSelectController;
import com.it.mhh.elasticsearch.entity.Student;
import com.it.mhh.elasticsearch.entity.Teacher;
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.Operator;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.data.domain.Sort;
import org.springframework.test.context.junit4.SpringRunner;
import java.io.IOException;
import java.util.*;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述:
*/
@SpringBootTest
@RunWith(SpringRunner.class)
public class ElasticsearchSelectControllerTest {
@Autowired
private ElasticsearchSelectController elasticsearchSelectController;//es的查询
@Test
public void selectByIdES() {
Teacher teacher = elasticsearchSelectController.get("2", Teacher.class);
System.err.println(teacher);//Teacher(tId=2, tName=小白老师, tAge=17, tCreateTime=Sat Dec 04 10:43:34 CST 2021)
Student student = elasticsearchSelectController.get("1", Student.class);
System.err.println(student);
/*Student
(sId=1, sName=mhh, sAddress=济南, sAge=12, sCreateTime=Sat Dec 04 10:34:14 CST 2021,
sHeadmaster=Headmaster(hId=1, hName=小白主任, hAddress=山东, hSalary=7500, hClass=[一班, 二班], hCreateTime=Sat Dec 04 10:34:14 CST 2021),
sCourseList=[语文, 数学, 英语],
sColorList=[red, white, black],
sTeacherList=[Teacher(tId=2, tName=小黑, tAge=13, tCreateTime=Sat Dec 04 10:34:14 CST 2021), Teacher(tId=2, tName=小蓝, tAge=14, tCreateTime=Sat Dec 04 10:34:14 CST 2021)])*/
Student nullStudent = elasticsearchSelectController.get("11", Student.class);//测试没有此主键的查询
System.err.println(nullStudent); // null
}
}
-
8.2 exists 查询文档(判断主键id是否存在)
- exists(String id, Class<?> clazz)
id:文档主键
clazz:类对象(用来获取这个对象中的@Document注解中indexName属性[表示查询那个索引])- exists(String id, IndexCoordinates index)
id:文档主键
index:指定索引
exists 查询文档(判断主键id是否存在)测试
- 根据主键id查询索引中是否存在此文档
-
8.2.1 Controller层
import com.it.mhh.elasticsearch.service.ElasticsearchSelectService;
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.Operator;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.domain.Sort;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;
import java.io.IOException;
import java.util.List;
import java.util.Map;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述: 查询类
*/
@RestController
@RequestMapping("/elasticSearch/select")
public class ElasticsearchSelectController {
@Autowired
private ElasticsearchSelectService elasticsearchSelectService;
/**
* @param id : 主键id
* @param classType : 类对象(用来获取这个对象中的@Document注解中indexName属性[表示查询那个索引])
* @return java.lang.Boolean
* @explain : 判断主键id是否存在
* @Author Mhh
* @Date 2021/12/29 14:54
*/
@PostMapping("exists")
public Boolean exists(String id, Class<?> classType) {
return elasticsearchSelectService.exists(id, classType);
}
}
8.2.2 service层
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.Operator;
import org.springframework.data.domain.Sort;
import java.io.IOException;
import java.util.List;
import java.util.Map;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述: 查询
*/
public interface ElasticsearchSelectService {
/**
* @param id : 主键id
* @param classType : 类对象(用来获取这个对象中的@Document注解中indexName属性[表示查询那个索引])
* @return java.lang.Boolean
* @explain : 判断主键id是否存在
* @Author Mhh
* @Date 2021/12/29 14:54
*/
public Boolean exists(String id, Class<?> classType);
}
8.2.3 serviceimpl层
import com.it.mhh.elasticsearch.service.ElasticsearchSelectService;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.client.indices.AnalyzeRequest;
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.*;
import org.elasticsearch.search.aggregations.Aggregation;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.aggregations.bucket.terms.Terms;
import org.elasticsearch.search.aggregations.bucket.terms.TermsAggregationBuilder;
import org.elasticsearch.search.aggregations.metrics.*;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.search.suggest.*;
import org.elasticsearch.search.suggest.completion.CompletionSuggestionBuilder;
import org.elasticsearch.search.suggest.phrase.PhraseSuggestionBuilder;
import org.elasticsearch.search.suggest.term.TermSuggestionBuilder;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.domain.PageRequest;
import org.springframework.data.domain.Sort;
import org.springframework.data.elasticsearch.annotations.Document;
import org.springframework.data.elasticsearch.core.ElasticsearchRestTemplate;
import org.springframework.data.elasticsearch.core.SearchHit;
import org.springframework.data.elasticsearch.core.SearchHits;
import org.springframework.data.elasticsearch.core.aggregation.AggregatedPage;
import org.springframework.data.elasticsearch.core.mapping.IndexCoordinates;
import org.springframework.data.elasticsearch.core.query.NativeSearchQuery;
import org.springframework.data.elasticsearch.core.query.NativeSearchQueryBuilder;
import org.springframework.stereotype.Service;
import java.io.IOException;
import java.lang.reflect.Field;
import java.util.*;
import java.util.stream.Collectors;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述:
*/
@Service
public class ElasticsearchSelectServiceImp implements ElasticsearchSelectService {
@Autowired
private ElasticsearchRestTemplate elasticsearchRestTemplate;
/**
* @param id : 主键id
* @param classType : 类对象(用来获取这个对象中的@Document注解中indexName属性[表示查询那个索引])
* @return java.lang.Boolean
* @explain : 判断主键id是否存在
* @Author Mhh
* @Date 2021/12/29 14:54
*/
@Override
public Boolean exists(String id, Class<?> classType) {
return elasticsearchRestTemplate.exists(id, classType);
}
}
exists 查询文档(判断主键id是否存在)测试结果:
- 根据主键id判断此索引中是否有此文档(有返回true,没有返回false)
import com.it.mhh.elasticsearch.controller.ElasticsearchSelectController;
import com.it.mhh.elasticsearch.entity.Student;
import com.it.mhh.elasticsearch.entity.Teacher;
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.Operator;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.data.domain.Sort;
import org.springframework.test.context.junit4.SpringRunner;
import java.io.IOException;
import java.util.*;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述:
*/
@SpringBootTest
@RunWith(SpringRunner.class)
public class ElasticsearchSelectControllerTest {
@Autowired
private ElasticsearchSelectController elasticsearchSelectController;//es的查询
/**
* @param id : 主键id
* @param classType : 类对象(用来获取这个对象中的@Document注解中indexName属性[表示查询那个索引])
* @return java.lang.Boolean
* @explain : 判断主键id是否存在
* @Author Mhh
* @Date 2021/12/29 14:54
*/
@Test
public void exists() {
Boolean exists = elasticsearchSelectController.exists("11", Teacher.class);
System.err.println(exists);//false
}
}
-
8.3 queryForPage 查询文档(分页查询)
- queryForPage(Query query, Class<?> clazz, IndexCoordinates index)
query:查询语法 包含(term查询、terms查询、match查询、范围查询、模糊查询…)
clazz:类对象(用来获取这个对象中的@Document注解中indexName属性[表示查询那个索引])
index:指定索引
queryForPage 查询文档(分页查询)测试
- NativeSearchQueryBuilder withPageable(Pageable pageable)
- 构建Pageable 对象 进行分页
- 添加分页信息 不设置 默认10条(用查询条件构建器)
-
8.3.1 Controller层
import com.it.mhh.elasticsearch.service.ElasticsearchSelectService;
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.Operator;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.domain.Sort;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;
import java.io.IOException;
import java.util.List;
import java.util.Map;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述: 查询类
*/
@RestController
@RequestMapping("/elasticSearch/select")
public class ElasticsearchSelectController {
@Autowired
private ElasticsearchSelectService elasticsearchSelectService;
/**
* @param pageNum : 分页查询的页数
* @param pageSize : 分页查询返回的每页个数
* @param key : 查询es的字段名
* @param value : 要查询字段名中的值
* @param classType : 返回的类类型
* @return List<T></T>
* @throws
* @Author Mhh
* @Date 2021/12/9 10:36
*/
@PostMapping("selectFindPage")
public <T> List<T> selectFindPage(Integer pageNum, Integer pageSize, String key, String value, Class<T> classType) {
return elasticsearchSelectService.selectFindPage(pageNum, pageSize, key, value, classType);
}
}
8.3.2 service层
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.Operator;
import org.springframework.data.domain.Sort;
import java.io.IOException;
import java.util.List;
import java.util.Map;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述: 查询
*/
public interface ElasticsearchSelectService {
/**
* @param pageNum : 分页查询的页数
* @param pageSize : 分页查询返回的每页个数
* @param key : 查询es的字段名
* @param value : 要查询字段名中的值
* @param classType : 返回的类类型
* @return List<T></T>
* @throws
* @Author Mhh
* @Date 2021/12/9 10:36
*/
public <T> List<T> selectFindPage(Integer pageNum, Integer pageSize, String key, String value, Class<T> classType);
}
8.3.3 serviceimpl层
import com.it.mhh.elasticsearch.service.ElasticsearchSelectService;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.client.indices.AnalyzeRequest;
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.*;
import org.elasticsearch.search.aggregations.Aggregation;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.aggregations.bucket.terms.Terms;
import org.elasticsearch.search.aggregations.bucket.terms.TermsAggregationBuilder;
import org.elasticsearch.search.aggregations.metrics.*;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.search.suggest.*;
import org.elasticsearch.search.suggest.completion.CompletionSuggestionBuilder;
import org.elasticsearch.search.suggest.phrase.PhraseSuggestionBuilder;
import org.elasticsearch.search.suggest.term.TermSuggestionBuilder;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.domain.PageRequest;
import org.springframework.data.domain.Sort;
import org.springframework.data.elasticsearch.annotations.Document;
import org.springframework.data.elasticsearch.core.ElasticsearchRestTemplate;
import org.springframework.data.elasticsearch.core.SearchHit;
import org.springframework.data.elasticsearch.core.SearchHits;
import org.springframework.data.elasticsearch.core.aggregation.AggregatedPage;
import org.springframework.data.elasticsearch.core.mapping.IndexCoordinates;
import org.springframework.data.elasticsearch.core.query.NativeSearchQuery;
import org.springframework.data.elasticsearch.core.query.NativeSearchQueryBuilder;
import org.springframework.stereotype.Service;
import java.io.IOException;
import java.lang.reflect.Field;
import java.util.*;
import java.util.stream.Collectors;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述:
*/
@Service
public class ElasticsearchSelectServiceImp implements ElasticsearchSelectService {
@Autowired
private ElasticsearchRestTemplate elasticsearchRestTemplate;
/**
* @param pageNum : 分页查询的页数
* @param pageSize : 分页查询返回的每页个数
* @param key : 查询es的字段名
* @param value : 要查询字段名中的值
* @param classType : 返回的类类型
* @return List<T></T>
* @throws
* @Author Mhh
* @Date 2021/12/9 10:36
*/
public <T> List<T> selectFindPage(Integer pageNum, Integer pageSize, String key, String value, Class<T> classType) {
NativeSearchQueryBuilder nativeSearchQueryBuilder = new NativeSearchQueryBuilder();
MatchQueryBuilder matchQueryBuilder = QueryBuilders.matchQuery(key, value).analyzer("ik_smart");//分词查询(这里指定分词只是分传过来的参数)[它是要和es索引里的分词后数据一一对应才能返回]
/*例子:前台传了 (山东省:粗粒度分为山东省 细粒度分为:山东省,山东,省)
es索引库里(山东省济南市 粗粒度分为 山东省,济南市 细粒度分为:山东省,山东,省,济南市,济南,市)
只有当前台分的词和后台分的词能有一个匹配上就可以*/
nativeSearchQueryBuilder.withQuery(matchQueryBuilder);
nativeSearchQueryBuilder.withPageable(PageRequest.of(pageNum == null || pageNum == 0 ? 0 : pageNum - 1, pageSize));
//4.构建查询对象
NativeSearchQuery query = nativeSearchQueryBuilder.build();
IndexCoordinates of = IndexCoordinates.of(classType.getAnnotation(Document.class).indexName());
AggregatedPage<T> page = elasticsearchRestTemplate.queryForPage(query, classType, of);
long totalElements = page.getTotalElements(); // 总记录数
int totalPages = page.getTotalPages(); // 总页数
int pageNumber = page.getPageable().getPageNumber(); // 当前页号
List<T> beanList = page.toList(); // 当前页数据集
Set<T> beanSet = page.toSet(); // 当前页数据集
return page.getContent();
}
}
queryForPage 查询文档(分页查询)测试结果:
- match分词查询 默认并集 ES索引中可看出符合的有两条,最终通过分页返回一条
import com.it.mhh.elasticsearch.controller.ElasticsearchSelectController;
import com.it.mhh.elasticsearch.entity.Student;
import com.it.mhh.elasticsearch.entity.Teacher;
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.Operator;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.data.domain.Sort;
import org.springframework.test.context.junit4.SpringRunner;
import java.io.IOException;
import java.util.*;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述:
*/
@SpringBootTest
@RunWith(SpringRunner.class)
public class ElasticsearchSelectControllerTest {
@Autowired
private ElasticsearchSelectController elasticsearchSelectController;//es的查询
/**
* @param pageNum : 分页查询的页数
* @param pageSize : 分页查询返回的每页个数
* @param key : 查询es的字段名
* @param value : 要查询字段名中的值
* @param classType : 返回的类类型
* @return List<T></T>
* @throws
* @Author Mhh
* @Date 2021/12/9 10:36
*/
@Test
public void selectFindPage() {
List<Teacher> teacherList = elasticsearchSelectController.selectFindPage(1, 1, "tAddress", "山东省", Teacher.class);
System.out.println(teacherList.size());// 1
}
}
-
8.4 AnalyzeRequest (根据入参内容返回分词后结果)
- tokenizer: 选择粗细粒度分词器
- text: 需要分词的内容
AnalyzeRequest (根据入参内容返回分词后结果)测试
- 粗粒度分词器:ik_smart
粗粒度分词—北京天安门:[北京,天安门]- 细粒度分词器:ik_max_word
细粒度分词—北京天安门:[北京,天安门,天安,门]
-
8.4.1 Controller层
import com.it.mhh.elasticsearch.service.ElasticsearchSelectService;
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.Operator;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.domain.Sort;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;
import java.io.IOException;
import java.util.List;
import java.util.Map;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述: 查询类
*/
@RestController
@RequestMapping("/elasticSearch/select")
public class ElasticsearchSelectController {
@Autowired
private ElasticsearchSelectService elasticsearchSelectService;
/**
* @param tokenizer : 粗细粒度分词(粗粒度:ik_smart 细粒度:ik_max_word)
* @param text : 需要分词的入参
* @return java.util.List<org.elasticsearch.client.indices.AnalyzeResponse.AnalyzeToken>
* @throws
* @explain
* @Author Mhh
* @Date 2021/12/9 16:16
*/
@PostMapping("selectBreakUpText")
public List<AnalyzeResponse.AnalyzeToken> selectBreakUpText(String tokenizer, String text) throws NoSuchFieldException, IllegalAccessException, IOException {
return elasticsearchSelectService.selectBreakUpText(tokenizer, text);
}
}
8.4.2 service层
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.Operator;
import org.springframework.data.domain.Sort;
import java.io.IOException;
import java.util.List;
import java.util.Map;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述: 查询
*/
public interface ElasticsearchSelectService {
/**
* @param tokenizer : 粗细粒度分词(粗粒度:ik_smart 细粒度:ik_max_word)
* @param text : 需要分词的入参
* @return java.util.List<org.elasticsearch.client.indices.AnalyzeResponse.AnalyzeToken>
* @throws
* @explain
* @Author Mhh
* @Date 2021/12/9 16:16
*/
public List<AnalyzeResponse.AnalyzeToken> selectBreakUpText(String tokenizer, String text) throws NoSuchFieldException, IllegalAccessException, IOException;
}
8.4.3 serviceimpl层
import com.it.mhh.elasticsearch.service.ElasticsearchSelectService;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.client.indices.AnalyzeRequest;
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.*;
import org.elasticsearch.search.aggregations.Aggregation;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.aggregations.bucket.terms.Terms;
import org.elasticsearch.search.aggregations.bucket.terms.TermsAggregationBuilder;
import org.elasticsearch.search.aggregations.metrics.*;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.search.suggest.*;
import org.elasticsearch.search.suggest.completion.CompletionSuggestionBuilder;
import org.elasticsearch.search.suggest.phrase.PhraseSuggestionBuilder;
import org.elasticsearch.search.suggest.term.TermSuggestionBuilder;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.domain.PageRequest;
import org.springframework.data.domain.Sort;
import org.springframework.data.elasticsearch.annotations.Document;
import org.springframework.data.elasticsearch.core.ElasticsearchRestTemplate;
import org.springframework.data.elasticsearch.core.SearchHit;
import org.springframework.data.elasticsearch.core.SearchHits;
import org.springframework.data.elasticsearch.core.aggregation.AggregatedPage;
import org.springframework.data.elasticsearch.core.mapping.IndexCoordinates;
import org.springframework.data.elasticsearch.core.query.NativeSearchQuery;
import org.springframework.data.elasticsearch.core.query.NativeSearchQueryBuilder;
import org.springframework.stereotype.Service;
import java.io.IOException;
import java.lang.reflect.Field;
import java.util.*;
import java.util.stream.Collectors;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述:
*/
@Service
public class ElasticsearchSelectServiceImp implements ElasticsearchSelectService {
@Autowired
private ElasticsearchRestTemplate elasticsearchRestTemplate;
/**
* @param tokenizer : 粗细粒度分词(粗粒度:ik_smart 细粒度:ik_max_word)
* @param text : 需要分词的入参
* @return java.util.List<org.elasticsearch.client.indices.AnalyzeResponse.AnalyzeToken>
* @throws
* @explain
* @Author Mhh
* @Date 2021/12/9 16:16
*/
public List<AnalyzeResponse.AnalyzeToken> selectBreakUpText(String tokenizer, String text) throws IOException {
RestHighLevelClient restHighLevelClient = elasticsearchRestTemplate.execute((client) -> client);
AnalyzeRequest request = AnalyzeRequest.buildCustomAnalyzer(tokenizer).build(text);
AnalyzeResponse response = restHighLevelClient.indices().analyze(request, RequestOptions.DEFAULT);
return response.getTokens();
//-------------------------------这两种都可以---------------------------------------------------------------------
// AnalyzeRequest request = AnalyzeRequest.buildCustomAnalyzer(tokenizer).build(text);
// Class<? extends ElasticsearchRestTemplate> aClass = elasticsearchRestTemplate.getClass();//反射
// Field client = aClass.getDeclaredField("client");//获得 ElasticsearchRestTemplate里的client属性
// client.setAccessible(true);//私有权限解除
// RestHighLevelClient restHighLevelClient = (RestHighLevelClient) client.get(elasticsearchRestTemplate);
// AnalyzeResponse response = restHighLevelClient.indices().analyze(request, RequestOptions.DEFAULT);
// return response.getTokens();
}
}
AnalyzeRequest (根据入参内容返回分词后结果)测试结果:
- 通过查询分词后结果来校验 分词后查询文档返回的解果是否正确
import com.it.mhh.elasticsearch.controller.ElasticsearchSelectController;
import com.it.mhh.elasticsearch.entity.Student;
import com.it.mhh.elasticsearch.entity.Teacher;
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.Operator;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.data.domain.Sort;
import org.springframework.test.context.junit4.SpringRunner;
import java.io.IOException;
import java.util.*;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述:
*/
@SpringBootTest
@RunWith(SpringRunner.class)
public class ElasticsearchSelectControllerTest {
@Autowired
private ElasticsearchSelectController elasticsearchSelectController;//es的查询
/**
* @param tokenizer : 粗细粒度分词(粗粒度:ik_smart 细粒度:ik_max_word)
* @param text : 需要分词的入参
* @return java.util.List<org.elasticsearch.client.indices.AnalyzeResponse.AnalyzeToken>
* @throws
* @explain
* @Author Mhh
* @Date 2021/12/9 16:16
*/
@Test
public void breakUpText() throws IllegalAccessException, NoSuchFieldException, IOException {
List<AnalyzeResponse.AnalyzeToken> maxAnalyzeTokens = elasticsearchSelectController.selectBreakUpText("ik_max_word", "北京天安门");//细粒度分词
List<AnalyzeResponse.AnalyzeToken> smartAnalyzeTokens = elasticsearchSelectController.selectBreakUpText("ik_smart", "北京天安门");//粗粒度分词
System.err.println("maxAnalyzeTokens细粒度的size:" + maxAnalyzeTokens.size() + "\n" + "smartAnalyzeTokens粗粒度的size:" + smartAnalyzeTokens.size());
}
}
-
8.5 termQuery 查询文档(入参不分词,精确匹配)
- termsQuery(String name, Object… values)
- termsQuery(String name, String… values)
- termsQuery(String name, long… values)
- termsQuery(String name, int… values)
- …
name: 域(字段名)
values:一域多值, 查询的值
termQuery 查询文档(入参不分词,精确匹配)测试
- 入参不分词 会查询ES索引中文档(如果ES中索引文档被分词.只要匹配到词条就可以返回)
- values:一域多值(只要匹配到一个值就可以返回)
-
8.5.1 Controller层
import com.it.mhh.elasticsearch.service.ElasticsearchSelectService;
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.Operator;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.domain.Sort;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;
import java.io.IOException;
import java.util.List;
import java.util.Map;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述: 查询类
*/
@RestController
@RequestMapping("/elasticSearch/select")
public class ElasticsearchSelectController {
@Autowired
private ElasticsearchSelectService elasticsearchSelectService;
/**
* @param key : es里索引的域(字段名)
* @param classType : 返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @param values : 一域多值, 查询的值
* @return java.util.List<T>
* @explain :词条查询:不分词,精确匹配
* @Author Mhh
* @Date 2021/12/10 14:28
*/
@PostMapping("termQuery")
public <T> List<T> termQuery(String key, Class<T> classType, String... values) {
return elasticsearchSelectService.termQuery(key, classType, values);
}
}
8.5.2 service层
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.Operator;
import org.springframework.data.domain.Sort;
import java.io.IOException;
import java.util.List;
import java.util.Map;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述: 查询
*/
public interface ElasticsearchSelectService {
/**
* @param key : es里索引的域(字段名)
* @param classType : 返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @param values : 一域多值, 查询的值
* @return java.util.List<T>
* @explain :词条查询(不分前端传过来的数据)
* @Author Mhh
* @Date 2021/12/10 14:28
*/
public <T> List<T> termQuery(String key, Class<T> classType, String... values);
}
8.5.3 serviceimpl层
import com.it.mhh.elasticsearch.service.ElasticsearchSelectService;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.client.indices.AnalyzeRequest;
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.*;
import org.elasticsearch.search.aggregations.Aggregation;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.aggregations.bucket.terms.Terms;
import org.elasticsearch.search.aggregations.bucket.terms.TermsAggregationBuilder;
import org.elasticsearch.search.aggregations.metrics.*;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.search.suggest.*;
import org.elasticsearch.search.suggest.completion.CompletionSuggestionBuilder;
import org.elasticsearch.search.suggest.phrase.PhraseSuggestionBuilder;
import org.elasticsearch.search.suggest.term.TermSuggestionBuilder;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.domain.PageRequest;
import org.springframework.data.domain.Sort;
import org.springframework.data.elasticsearch.annotations.Document;
import org.springframework.data.elasticsearch.core.ElasticsearchRestTemplate;
import org.springframework.data.elasticsearch.core.SearchHit;
import org.springframework.data.elasticsearch.core.SearchHits;
import org.springframework.data.elasticsearch.core.aggregation.AggregatedPage;
import org.springframework.data.elasticsearch.core.mapping.IndexCoordinates;
import org.springframework.data.elasticsearch.core.query.NativeSearchQuery;
import org.springframework.data.elasticsearch.core.query.NativeSearchQueryBuilder;
import org.springframework.stereotype.Service;
import java.io.IOException;
import java.lang.reflect.Field;
import java.util.*;
import java.util.stream.Collectors;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述:
*/
@Service
public class ElasticsearchSelectServiceImp implements ElasticsearchSelectService {
@Autowired
private ElasticsearchRestTemplate elasticsearchRestTemplate;
/**
* @param key : es里索引的域(字段名)
* @param classType : 返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @param values : 一域多值, 查询的值
* @return java.util.List<T>
* @explain :词条查询(不分前端传过来的数据)
* @Author Mhh
* @Date 2021/12/10 14:28
*/
public <T> List<T> termQuery(String key, Class<T> classType, String... values) {
//查询条件(词条查询:对应ES query里的term)
TermsQueryBuilder termsQueryBuilder = QueryBuilders.termsQuery(key, values);
//创建查询条件构建器SearchSourceBuilder(对应ES外面的大括号)
NativeSearchQuery nativeSearchQuery = new NativeSearchQuery(termsQueryBuilder);
//查询,获取查询结果
SearchHits<T> search = elasticsearchRestTemplate.search(nativeSearchQuery, classType);
//获取总记录数
long totalHits = search.getTotalHits();
//获取值返回
return search.getSearchHits().stream().map(SearchHit::getContent).collect(Collectors.toList());
}
}
termQuery 查询文档(入参不分词,精确匹配)测试结果:
- term查询,查询text类型字段时,只有其中的单词相匹配都会查到,text字段会对数据进行分词
- term查询,查询keyword类型字段时,只有完全匹配才会查到,keyword字段不会对数据进行分词
- term query会去倒排索引中寻找确切的term,它并不知道分词器的存在。这种查询适合keyword 、numeric、date
import com.it.mhh.elasticsearch.controller.ElasticsearchSelectController;
import com.it.mhh.elasticsearch.entity.Student;
import com.it.mhh.elasticsearch.entity.Teacher;
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.Operator;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.data.domain.Sort;
import org.springframework.test.context.junit4.SpringRunner;
import java.io.IOException;
import java.util.*;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述:
*/
@SpringBootTest
@RunWith(SpringRunner.class)
public class ElasticsearchSelectControllerTest {
@Autowired
private ElasticsearchSelectController elasticsearchSelectController;//es的查询
/**
* @param key : es里索引的域(字段名)
* @param classType : 返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @param values : 一域多值, 查询的值
* @return java.util.List<T>
* @explain :词条查询:不分词,精确匹配
* @Author Mhh
* @Date 2021/12/10 14:28
*/
@Test
public void termQuery() {
List<Teacher> teacherList = elasticsearchSelectController.termQuery("tAddress", Teacher.class, "泰安市", "河北省");
teacherList.forEach(System.err::println);
}
}
-
8.6 match 查询文档(会对查询条件进行分词)
- matchQuery(String name, Object text)
name: 域(字段名)
text: 要查询的入参值
match查询文档(会对查询条件进行分词)测试
- 会对查询条件进行分词。
- 将分词后的查询条件和词条进行等值匹配
- 默认取并集(OR)
-
8.6.1 Controller层
import com.it.mhh.elasticsearch.service.ElasticsearchSelectService;
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.Operator;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.domain.Sort;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;
import java.io.IOException;
import java.util.List;
import java.util.Map;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述: 查询类
*/
@RestController
@RequestMapping("/elasticSearch/select")
public class ElasticsearchSelectController {
@Autowired
private ElasticsearchSelectService elasticsearchSelectService;
/**
* 入参分词: 山东省济南市 ik_smart粗粒度:[山东省,济南市] ik_max_word细粒度:[山东省,山东,省,济南市,济南,南市]
*
* @param operator : Operator.OR(并集) [默认] 只要分的词有一个和索引字段上对应上则就返回
* Operator.AND(交集) 分的词全部满足的数据返回
* @param analyzer : 选择分词器[ik_smart粗粒度,ik_max_word细粒度] 默认:ik_max_word细粒度
* @param key : es里索引的域(字段名)
* @param classType : 返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @param text : 查询的值
* @return java.util.List<T>
* @explain :matchQuery:词条分词查询(会对查询条件进行分词)
* @Author Mhh
* @Date 2021/12/10 15:21
*/
@PostMapping("matchQuery")
public <T> List<T> matchQuery(Operator operator, String analyzer, String key, Class<T> classType, String text) {
return elasticsearchSelectService.matchQuery(operator, analyzer, key, classType, text);
}
}
8.6.2 service层
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.Operator;
import org.springframework.data.domain.Sort;
import java.io.IOException;
import java.util.List;
import java.util.Map;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述: 查询
*/
public interface ElasticsearchSelectService {
/**
* 入参分词: 山东省济南市 ik_smart粗粒度:[山东省,济南市] ik_max_word细粒度:[山东省,山东,省,济南市,济南,南市]
*
* @param operator : Operator.OR(并集) [默认] 只要分的词有一个和索引字段上对应上则就返回
* Operator.AND(交集) 分的词全部满足的数据返回
* @param analyzer : 选择分词器[ik_smart粗粒度,ik_max_word细粒度] 默认:ik_max_word细粒度
* @param key : es里索引的域(字段名)
* @param classType : 返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @param text : 查询的值
* @return java.util.List<T>
* @explain :matchQuery:词条分词查询(会对查询条件进行分词)
* @Author Mhh
* @Date 2021/12/10 15:21
*/
public <T> List<T> matchQuery(Operator operator, String analyzer, String key, Class<T> classType, String text);
}
8.6.3 serviceimpl层
import com.it.mhh.elasticsearch.service.ElasticsearchSelectService;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.client.indices.AnalyzeRequest;
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.*;
import org.elasticsearch.search.aggregations.Aggregation;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.aggregations.bucket.terms.Terms;
import org.elasticsearch.search.aggregations.bucket.terms.TermsAggregationBuilder;
import org.elasticsearch.search.aggregations.metrics.*;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.search.suggest.*;
import org.elasticsearch.search.suggest.completion.CompletionSuggestionBuilder;
import org.elasticsearch.search.suggest.phrase.PhraseSuggestionBuilder;
import org.elasticsearch.search.suggest.term.TermSuggestionBuilder;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.domain.PageRequest;
import org.springframework.data.domain.Sort;
import org.springframework.data.elasticsearch.annotations.Document;
import org.springframework.data.elasticsearch.core.ElasticsearchRestTemplate;
import org.springframework.data.elasticsearch.core.SearchHit;
import org.springframework.data.elasticsearch.core.SearchHits;
import org.springframework.data.elasticsearch.core.aggregation.AggregatedPage;
import org.springframework.data.elasticsearch.core.mapping.IndexCoordinates;
import org.springframework.data.elasticsearch.core.query.NativeSearchQuery;
import org.springframework.data.elasticsearch.core.query.NativeSearchQueryBuilder;
import org.springframework.stereotype.Service;
import java.io.IOException;
import java.lang.reflect.Field;
import java.util.*;
import java.util.stream.Collectors;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述:
*/
@Service
public class ElasticsearchSelectServiceImp implements ElasticsearchSelectService {
@Autowired
private ElasticsearchRestTemplate elasticsearchRestTemplate;
/**
* 入参分词: 山东省济南市 ik_smart粗粒度:[山东省,济南市] ik_max_word细粒度:[山东省,山东,省,济南市,济南,南市]
*
* @param operator : Operator.OR(并集) [默认] 只要分的词有一个和索引字段上对应上则就返回
* Operator.AND(交集) 分的词全部满足的数据返回
* @param analyzer : 选择分词器[ik_smart粗粒度,ik_max_word细粒度] 默认:ik_max_word细粒度
* @param key : es里索引的域(字段名)
* @param classType : 返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @param text : 查询的值
* @return java.util.List<T>
* @explain :matchQuery:词条分词查询(会对查询条件进行分词)
* @Author Mhh
* @Date 2021/12/10 15:21
*/
public <T> List<T> matchQuery(Operator operator, String analyzer, String key, Class<T> classType, String text) {
//查询条件(词条查询:对应ES query里的match)
MatchQueryBuilder matchQueryBuilder = QueryBuilders.matchQuery(key, text).analyzer(analyzer).operator(operator);
//创建查询条件构建器SearchSourceBuilder(对应ES外面的大括号)
NativeSearchQuery nativeSearchQuery = new NativeSearchQuery(matchQueryBuilder);
//查询,获取查询结果
SearchHits<T> search = elasticsearchRestTemplate.search(nativeSearchQuery, classType);
//获取总记录数
long totalHits = search.getTotalHits();
//获取值返回
return search.getSearchHits().stream().map(SearchHit::getContent).collect(Collectors.toList());
}
}
match 查询文档(会对查询条件进行分词)测试结果:
- match query知道分词器的存在。并且理解是如何被分词的
- Operator:
Operator.AND:交集
(表示被分词后的值都包含
在域(字段)中就返回此数据)
Operator.OR:并集
(表示被分词后的值只要有一个
被包含在域(字段)中就返回此数据)
import com.it.mhh.elasticsearch.controller.ElasticsearchSelectController;
import com.it.mhh.elasticsearch.entity.Student;
import com.it.mhh.elasticsearch.entity.Teacher;
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.Operator;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.data.domain.Sort;
import org.springframework.test.context.junit4.SpringRunner;
import java.io.IOException;
import java.util.*;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述:
*/
@SpringBootTest
@RunWith(SpringRunner.class)
public class ElasticsearchSelectControllerTest {
@Autowired
private ElasticsearchSelectController elasticsearchSelectController;//es的查询
/**
* 入参分词: 山东省济南市 ik_smart粗粒度:[山东省,济南市] ik_max_word细粒度:[山东省,山东,省,济南市,济南,南市]
*
* @param operator : Operator.OR(并集) [默认] 只要分的词有一个和索引字段上对应上则就返回
* Operator.AND(交集) 分的词全部满足的数据返回
* @param analyzer : 选择分词器[ik_smart粗粒度,ik_max_word细粒度] 默认:ik_max_word细粒度
* @param key : es里索引的域(字段名)
* @param classType : 返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @param text : 查询的值
* @return java.util.List<T>
* @explain :matchQuery:词条分词查询(会对查询条件进行分词)
* @Author Mhh
* @Date 2021/12/10 15:21
*/
@Test
public void matchQuery() {
List<Teacher> teacherList =
elasticsearchSelectController.matchQuery(Operator.AND,
"ik_smart",
"tAddress",
Teacher.class,
"山东省济南市");
teacherList.forEach(System.err::println);
}
}
-
8.7 matchAllQuery 查询文档(查询此索引下所有文档)
- matchAllQuery():匹配所有文档的查询。
matchAllQuery 查询文档(查询此索引下所有文档)测试
- 查询指定索引下所有文档 (默认十条)
-
8.7.1 Controller层
import com.it.mhh.elasticsearch.service.ElasticsearchSelectService;
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.Operator;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.domain.Sort;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;
import java.io.IOException;
import java.util.List;
import java.util.Map;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述: 查询类
*/
@RestController
@RequestMapping("/elasticSearch/select")
public class ElasticsearchSelectController {
@Autowired
private ElasticsearchSelectService elasticsearchSelectService;
/**
* @param classType :返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @return java.util.List<T>
* @explain : 返回索引库里所有数据
* @Author Mhh
* @Date 2021/12/10 15:44
*/
@PostMapping("matchAllQuery")
public <T> List<T> matchAllQuery(Class<T> classType) {
return elasticsearchSelectService.matchAllQuery(classType);
}
}
8.7.2 service层
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.Operator;
import org.springframework.data.domain.Sort;
import java.io.IOException;
import java.util.List;
import java.util.Map;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述: 查询
*/
public interface ElasticsearchSelectService {
/**
* @param classType :返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @return java.util.List<T>
* @explain : 返回索引库里所有数据
* @Author Mhh
* @Date 2021/12/10 15:44
*/
public <T> List<T> matchAllQuery(Class<T> classType);
}
8.7.3 serviceimpl层
import com.it.mhh.elasticsearch.service.ElasticsearchSelectService;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.client.indices.AnalyzeRequest;
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.*;
import org.elasticsearch.search.aggregations.Aggregation;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.aggregations.bucket.terms.Terms;
import org.elasticsearch.search.aggregations.bucket.terms.TermsAggregationBuilder;
import org.elasticsearch.search.aggregations.metrics.*;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.search.suggest.*;
import org.elasticsearch.search.suggest.completion.CompletionSuggestionBuilder;
import org.elasticsearch.search.suggest.phrase.PhraseSuggestionBuilder;
import org.elasticsearch.search.suggest.term.TermSuggestionBuilder;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.domain.PageRequest;
import org.springframework.data.domain.Sort;
import org.springframework.data.elasticsearch.annotations.Document;
import org.springframework.data.elasticsearch.core.ElasticsearchRestTemplate;
import org.springframework.data.elasticsearch.core.SearchHit;
import org.springframework.data.elasticsearch.core.SearchHits;
import org.springframework.data.elasticsearch.core.aggregation.AggregatedPage;
import org.springframework.data.elasticsearch.core.mapping.IndexCoordinates;
import org.springframework.data.elasticsearch.core.query.NativeSearchQuery;
import org.springframework.data.elasticsearch.core.query.NativeSearchQueryBuilder;
import org.springframework.stereotype.Service;
import java.io.IOException;
import java.lang.reflect.Field;
import java.util.*;
import java.util.stream.Collectors;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述:
*/
@Service
public class ElasticsearchSelectServiceImp implements ElasticsearchSelectService {
@Autowired
private ElasticsearchRestTemplate elasticsearchRestTemplate;
/**
* @param classType :返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @return java.util.List<T>
* @explain : 返回索引库里所有数据
* @Author Mhh
* @Date 2021/12/10 15:44
*/
public <T> List<T> matchAllQuery(Class<T> classType) {
//查询条件(词条查询:对应ES query里的match)
MatchAllQueryBuilder matchAllQueryBuilder = QueryBuilders.matchAllQuery();
//创建查询条件构建器SearchSourceBuilder(对应ES外面的大括号)
NativeSearchQuery nativeSearchQuery = new NativeSearchQuery(matchAllQueryBuilder);
//查询,获取查询结果
SearchHits<T> search = elasticsearchRestTemplate.search(nativeSearchQuery, classType);
//获取总记录数
long totalHits = search.getTotalHits();
//获取值返回
return search.getSearchHits().stream().map(SearchHit::getContent).collect(Collectors.toList());
}
}
matchAllQuery 查询文档(查询此索引下所有文档)测试结果:
- 通过入参对象里面@Document注解indexName属性获取查询哪个索引
- 返回指定索引下所有文档
import com.it.mhh.elasticsearch.controller.ElasticsearchSelectController;
import com.it.mhh.elasticsearch.entity.Student;
import com.it.mhh.elasticsearch.entity.Teacher;
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.Operator;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.data.domain.Sort;
import org.springframework.test.context.junit4.SpringRunner;
import java.io.IOException;
import java.util.*;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述:
*/
@SpringBootTest
@RunWith(SpringRunner.class)
public class ElasticsearchSelectControllerTest {
@Autowired
private ElasticsearchSelectController elasticsearchSelectController;//es的查询
/**
* @param classType :返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @return java.util.List<T>
* @explain : 返回索引库里所有数据
* @Author Mhh
* @Date 2021/12/10 15:44
*/
@Test
public void matchAllQuery() {
List<Teacher> teacherList = elasticsearchSelectController.matchAllQuery(Teacher.class);
teacherList.forEach(System.err::println);
}
}
-
8.8 wildcardQuery 查询文档(模糊查询)
- wildcardQuery(String name, String query)
name: 域名(字段名称)
query: 通配符查询字符串
wildcardQuery 查询文档(模糊查询)测试
- wildcard查询:会对查询条件进行分词,还可以使用通配符
?
: 任意单个字符*
: 0个或多个字符
-
8.8.1 Controller层
import com.it.mhh.elasticsearch.service.ElasticsearchSelectService;
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.Operator;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.domain.Sort;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;
import java.io.IOException;
import java.util.List;
import java.util.Map;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述: 查询类
*/
@RestController
@RequestMapping("/elasticSearch/select")
public class ElasticsearchSelectController {
@Autowired
private ElasticsearchSelectService elasticsearchSelectService;
/*
* ?:只包含一个字符
* 山?省: 山东省 或者 山西省 等等 ?包含一个字符
* ??省: 山东省 或者 吉林省 等等 ?包含一个字符
* ???: 你好啊 或者 早上好 等等 ?包含一个字符
*
* *:表示0个或多个字符
* 济南*: 济南市 或者 济南市历下区..... *表示0个或多个字符
* *剑 : 长虹剑 或者 冰魄长虹倚天剑.... *表示0个或多个字符
*
* 注意: *或者?放在最前面(例如:*省 | ?省 *为 | ?为) 会引发全表(全索引)扫描 注意效率问题
* */
/**
* @param key : es里索引的域(字段名)
* @param value : 查询的值
* @param classType : 返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @return java.util.List<T>
* @explain : wildcardQuery模糊查询(会对查询条件分词,还可以使用通配符)[?:表示任意单个字符][*:表示0或多个字符]
* @Author Mhh
* @Date 2021/12/10 16:10
*/
@PostMapping("wildcardQuery")
public <T> List<T> wildcardQuery(String key, String value, Class<T> classType) {
return elasticsearchSelectService.wildcardQuery(key, value, classType);
}
}
8.8.2 service层
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.Operator;
import org.springframework.data.domain.Sort;
import java.io.IOException;
import java.util.List;
import java.util.Map;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述: 查询
*/
public interface ElasticsearchSelectService {
/*
* ?:只包含一个字符
* 山?省: 山东省 或者 山西省 等等 ?包含一个字符
* ??省: 山东省 或者 吉林省 等等 ?包含一个字符
* ???: 你好啊 或者 早上好 等等 ?包含一个字符
*
* *:表示0个或多个字符
* 济南*: 济南市 或者 济南市历下区..... *表示0个或多个字符
* *剑 : 长虹剑 或者 冰魄长虹倚天剑.... *表示0个或多个字符
*
* 注意: *或者?放在最前面(例如:*省 | ?省 *为 | ?为) 会引发全表(全索引)扫描 注意效率问题
* */
/**
* @param key : es里索引的域(字段名)
* @param value : 查询的值
* @param classType : 返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @return java.util.List<T>
* @explain : wildcardQuery模糊查询(会对查询条件分词,还可以使用通配符)[?:表示任意单个字符][*:表示0或多个字符]
* @Author Mhh
* @Date 2021/12/10 16:10
*/
public <T> List<T> wildcardQuery(String key, String value, Class<T> classType);
}
8.8.3 serviceimpl层
import com.it.mhh.elasticsearch.service.ElasticsearchSelectService;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.client.indices.AnalyzeRequest;
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.*;
import org.elasticsearch.search.aggregations.Aggregation;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.aggregations.bucket.terms.Terms;
import org.elasticsearch.search.aggregations.bucket.terms.TermsAggregationBuilder;
import org.elasticsearch.search.aggregations.metrics.*;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.search.suggest.*;
import org.elasticsearch.search.suggest.completion.CompletionSuggestionBuilder;
import org.elasticsearch.search.suggest.phrase.PhraseSuggestionBuilder;
import org.elasticsearch.search.suggest.term.TermSuggestionBuilder;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.domain.PageRequest;
import org.springframework.data.domain.Sort;
import org.springframework.data.elasticsearch.annotations.Document;
import org.springframework.data.elasticsearch.core.ElasticsearchRestTemplate;
import org.springframework.data.elasticsearch.core.SearchHit;
import org.springframework.data.elasticsearch.core.SearchHits;
import org.springframework.data.elasticsearch.core.aggregation.AggregatedPage;
import org.springframework.data.elasticsearch.core.mapping.IndexCoordinates;
import org.springframework.data.elasticsearch.core.query.NativeSearchQuery;
import org.springframework.data.elasticsearch.core.query.NativeSearchQueryBuilder;
import org.springframework.stereotype.Service;
import java.io.IOException;
import java.lang.reflect.Field;
import java.util.*;
import java.util.stream.Collectors;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述:
*/
@Service
public class ElasticsearchSelectServiceImp implements ElasticsearchSelectService {
@Autowired
private ElasticsearchRestTemplate elasticsearchRestTemplate;
/*
* ?:只包含一个字符
* 山?省: 山东省 或者 山西省 等等 ?包含一个字符
* ??省: 山东省 或者 吉林省 等等 ?包含一个字符
* ???: 你好啊 或者 早上好 等等 ?包含一个字符
*
* *:表示0个或多个字符
* 济南*: 济南市 或者 济南市历下区..... *表示0个或多个字符
* *剑 : 长虹剑 或者 冰魄长虹倚天剑.... *表示0个或多个字符
*
* 注意: *或者?放在最前面(例如:*省 | ?省 *为 | ?为) 会引发全表(全索引)扫描 注意效率问题
* */
/**
* @param key : es里索引的域(字段名)
* @param value : 查询的值
* @param classType : 返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @return java.util.List<T>
* @explain : wildcardQuery模糊查询(会对查询条件分词,还可以使用通配符)[?:表示任意单个字符][*:表示0或多个字符]
* @Author Mhh
* @Date 2021/12/10 16:10
*/
public <T> List<T> wildcardQuery(String key, String value, Class<T> classType) {
//查询条件(词条查询:对应ES query里的wildcard)
WildcardQueryBuilder wildcardQueryBuilder = QueryBuilders.wildcardQuery(key, value);
//创建查询条件构建器SearchSourceBuilder(对应ES外面的大括号)
NativeSearchQuery nativeSearchQuery = new NativeSearchQuery(wildcardQueryBuilder);
//查询,获取查询结果
SearchHits<T> search = elasticsearchRestTemplate.search(nativeSearchQuery, classType);
//获取总记录数
long totalHits = search.getTotalHits();
//获取值返回
return search.getSearchHits().stream().map(SearchHit::getContent).collect(Collectors.toList());
}
}
wildcardQuery 查询文档(模糊查询)测试结果:
"*华*"
包含华字的"华*"
华字后边零个或多个字符"华?"
华字后边一个字符"*华"
或"?华"
会引发全表(全索引)扫描 注意效率问题
import com.it.mhh.elasticsearch.controller.ElasticsearchSelectController;
import com.it.mhh.elasticsearch.entity.Student;
import com.it.mhh.elasticsearch.entity.Teacher;
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.Operator;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.data.domain.Sort;
import org.springframework.test.context.junit4.SpringRunner;
import java.io.IOException;
import java.util.*;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述:
*/
@SpringBootTest
@RunWith(SpringRunner.class)
public class ElasticsearchSelectControllerTest {
@Autowired
private ElasticsearchSelectController elasticsearchSelectController;//es的查询
/**
* @param key : es里索引的域(字段名)
* @param value : 查询的值
* @param classType : 返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @return java.util.List<T>
* @explain : wildcardQuery模糊查询(会对查询条件分词,还可以使用通配符)[?:表示任意单个字符][*:表示0或多个字符]
* @Author Mhh
* @Date 2021/12/10 16:10
*/
@Test
public void wildcardQuery() {
List<Teacher> teacherList = elasticsearchSelectController.wildcardQuery(
"tAddress",
"山?省",
Teacher.class);
teacherList.forEach(System.err::println);
}
}
-
8.9 prefixQuery 查询文档(前缀查询)
- prefixQuery(String name, String prefix)
name: 域名(字段名称)
prefix: 前缀值查询
prefixQuery 查询文档(前缀查询)测试
- 前缀查询 对keyword类型支持比较好
-
8.9.1 Controller层
import com.it.mhh.elasticsearch.service.ElasticsearchSelectService;
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.Operator;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.domain.Sort;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;
import java.io.IOException;
import java.util.List;
import java.util.Map;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述: 查询类
*/
@RestController
@RequestMapping("/elasticSearch/select")
public class ElasticsearchSelectController {
@Autowired
private ElasticsearchSelectService elasticsearchSelectService;
/**
* @param key : es里索引的域(字段名)
* @param value : 查询的值
* @param classType : 返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @return java.util.List<T>
* @explain : prefixQuery 前缀查询 对keyword类型支持比较好(text也能用:索引库字段分词后 分的词前缀要是能匹配也是可以返回此数据)
* @Author Mhh
* @Date 2021/12/10 16:49
*/
@PostMapping("prefixQuery")
public <T> List<T> prefixQuery(String key, String value, Class<T> classType) {
return elasticsearchSelectService.prefixQuery(key, value, classType);
}
}
8.9.2 service层
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.Operator;
import org.springframework.data.domain.Sort;
import java.io.IOException;
import java.util.List;
import java.util.Map;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述: 查询
*/
public interface ElasticsearchSelectService {
/**
* @param key : es里索引的域(字段名)
* @param value : 查询的值
* @param classType : 返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @return java.util.List<T>
* @explain : prefixQuery 前缀查询 对keyword类型支持比较好(text也能用:索引库字段分词后 分的词前缀要是能匹配也是可以返回此数据)
* @Author Mhh
* @Date 2021/12/10 16:49
*/
public <T> List<T> prefixQuery(String key, String value, Class<T> classType);
}
8.9.3 serviceimpl层
import com.it.mhh.elasticsearch.service.ElasticsearchSelectService;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.client.indices.AnalyzeRequest;
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.*;
import org.elasticsearch.search.aggregations.Aggregation;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.aggregations.bucket.terms.Terms;
import org.elasticsearch.search.aggregations.bucket.terms.TermsAggregationBuilder;
import org.elasticsearch.search.aggregations.metrics.*;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.search.suggest.*;
import org.elasticsearch.search.suggest.completion.CompletionSuggestionBuilder;
import org.elasticsearch.search.suggest.phrase.PhraseSuggestionBuilder;
import org.elasticsearch.search.suggest.term.TermSuggestionBuilder;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.domain.PageRequest;
import org.springframework.data.domain.Sort;
import org.springframework.data.elasticsearch.annotations.Document;
import org.springframework.data.elasticsearch.core.ElasticsearchRestTemplate;
import org.springframework.data.elasticsearch.core.SearchHit;
import org.springframework.data.elasticsearch.core.SearchHits;
import org.springframework.data.elasticsearch.core.aggregation.AggregatedPage;
import org.springframework.data.elasticsearch.core.mapping.IndexCoordinates;
import org.springframework.data.elasticsearch.core.query.NativeSearchQuery;
import org.springframework.data.elasticsearch.core.query.NativeSearchQueryBuilder;
import org.springframework.stereotype.Service;
import java.io.IOException;
import java.lang.reflect.Field;
import java.util.*;
import java.util.stream.Collectors;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述:
*/
@Service
public class ElasticsearchSelectServiceImp implements ElasticsearchSelectService {
@Autowired
private ElasticsearchRestTemplate elasticsearchRestTemplate;
/**
* @param key : es里索引的域(字段名)
* @param value : 查询的值
* @param classType : 返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @return java.util.List<T>
* @explain : prefixQuery 前缀查询 对keyword类型支持比较好(text也能用:索引库字段分词后 分的词前缀要是能匹配也是可以返回此数据)
* @Author Mhh
* @Date 2021/12/10 16:49
*/
public <T> List<T> prefixQuery(String key, String value, Class<T> classType) {
//查询条件(词条查询:对应ES query里的prefixQuery)
PrefixQueryBuilder prefixQueryBuilder = QueryBuilders.prefixQuery(key, value);
//创建查询条件构建器SearchSourceBuilder(对应ES外面的大括号)
NativeSearchQuery nativeSearchQuery = new NativeSearchQuery(prefixQueryBuilder);
//查询,获取查询结果
SearchHits<T> search = elasticsearchRestTemplate.search(nativeSearchQuery, classType);
//获取总记录数
long totalHits = search.getTotalHits();
//获取值返回
return search.getSearchHits().stream().map(SearchHit::getContent).collect(Collectors.toList());
}
}
prefixQuery 查询文档(前缀查询)测试结果:
- text也能用:索引库字段分词后 分的词前缀要是能匹配也是可以返回此数据
import com.it.mhh.elasticsearch.controller.ElasticsearchSelectController;
import com.it.mhh.elasticsearch.entity.Student;
import com.it.mhh.elasticsearch.entity.Teacher;
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.Operator;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.data.domain.Sort;
import org.springframework.test.context.junit4.SpringRunner;
import java.io.IOException;
import java.util.*;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述:
*/
@SpringBootTest
@RunWith(SpringRunner.class)
public class ElasticsearchSelectControllerTest {
@Autowired
private ElasticsearchSelectController elasticsearchSelectController;//es的查询
/**
* @param key : es里索引的域(字段名)
* @param value : 查询的值
* @param classType : 返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @return java.util.List<T>
* @explain : prefixQuery 前缀查询 对keyword类型支持比较好(text也能用:索引库字段分词后 分的词前缀要是能匹配也是可以返回此数据)
* @Author Mhh
* @Date 2021/12/10 16:49
*/
@Test
public void prefixQuery() {
List<Teacher> teacherList =
elasticsearchSelectController.prefixQuery(
"tAddress",
"济",
Teacher.class);
teacherList.forEach(System.err::println);
}
}
-
8.10 regexpQuery 查询文档(正则表达式查询)
- regexpQuery(String name, String regexp)
name: 域名(字段名称)
regexp: 正则表达式
regexpQuery 查询文档(正则表达式查询)测试
- 匹配包含具有指定正则表达式的术语的文档的查询
- 菜鸟教程-正则表达式: https://www.runoob.com/regexp/regexp-syntax.html.
-
8.10.1 Controller层
import com.it.mhh.elasticsearch.service.ElasticsearchSelectService;
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.Operator;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.domain.Sort;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;
import java.io.IOException;
import java.util.List;
import java.util.Map;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述: 查询类
*/
@RestController
@RequestMapping("/elasticSearch/select")
public class ElasticsearchSelectController {
@Autowired
private ElasticsearchSelectService elasticsearchSelectService;
/**
* @param key : es里索引的域(字段名)
* @param value : 查询的值
* @param classType : 返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @return java.util.List<T>
* @explain : 正则表达式查询:regexpQuery
* @Author Mhh
* @Date 2021/12/11 19:17
*/
@PostMapping("regexpQuery")
public <T> List<T> regexpQuery(String key, String value, Class<T> classType) {
return elasticsearchSelectService.regexpQuery(key, value, classType);
}
}
8.10.2 service层
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.Operator;
import org.springframework.data.domain.Sort;
import java.io.IOException;
import java.util.List;
import java.util.Map;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述: 查询
*/
public interface ElasticsearchSelectService {
/**
* @param key : es里索引的域(字段名)
* @param value : 查询的值
* @param classType : 返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @return java.util.List<T>
* @explain : 正则表达式查询:regexpQuery
* @Author Mhh
* @Date 2021/12/11 19:17
*/
public <T> List<T> regexpQuery(String key, String value, Class<T> classType);
}
8.10.3 serviceimpl层
import com.it.mhh.elasticsearch.service.ElasticsearchSelectService;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.client.indices.AnalyzeRequest;
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.*;
import org.elasticsearch.search.aggregations.Aggregation;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.aggregations.bucket.terms.Terms;
import org.elasticsearch.search.aggregations.bucket.terms.TermsAggregationBuilder;
import org.elasticsearch.search.aggregations.metrics.*;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.search.suggest.*;
import org.elasticsearch.search.suggest.completion.CompletionSuggestionBuilder;
import org.elasticsearch.search.suggest.phrase.PhraseSuggestionBuilder;
import org.elasticsearch.search.suggest.term.TermSuggestionBuilder;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.domain.PageRequest;
import org.springframework.data.domain.Sort;
import org.springframework.data.elasticsearch.annotations.Document;
import org.springframework.data.elasticsearch.core.ElasticsearchRestTemplate;
import org.springframework.data.elasticsearch.core.SearchHit;
import org.springframework.data.elasticsearch.core.SearchHits;
import org.springframework.data.elasticsearch.core.aggregation.AggregatedPage;
import org.springframework.data.elasticsearch.core.mapping.IndexCoordinates;
import org.springframework.data.elasticsearch.core.query.NativeSearchQuery;
import org.springframework.data.elasticsearch.core.query.NativeSearchQueryBuilder;
import org.springframework.stereotype.Service;
import java.io.IOException;
import java.lang.reflect.Field;
import java.util.*;
import java.util.stream.Collectors;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述:
*/
@Service
public class ElasticsearchSelectServiceImp implements ElasticsearchSelectService {
@Autowired
private ElasticsearchRestTemplate elasticsearchRestTemplate;
/**
* @param key : es里索引的域(字段名)
* @param value : 查询的值
* @param classType : 返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @return java.util.List<T>
* @explain : 正则表达式查询:regexpQuery
* @Author Mhh
* @Date 2021/12/11 19:17
*/
public <T> List<T> regexpQuery(String key, String value, Class<T> classType) {
//查询条件(词条查询:对应ES query里的regexpQuery)
RegexpQueryBuilder regexpQueryBuilder = QueryBuilders.regexpQuery(key, value);
//创建查询条件构建器SearchSourceBuilder(对应ES外面的大括号)
NativeSearchQuery nativeSearchQuery = new NativeSearchQuery(regexpQueryBuilder);
//查询,获取查询结果
SearchHits<T> search = elasticsearchRestTemplate.search(nativeSearchQuery, classType);
//获取总记录数
long totalHits = search.getTotalHits();
//获取值返回
return search.getSearchHits().stream().map(SearchHit::getContent).collect(Collectors.toList());
}
}
regexpQuery 查询文档(正则表达式查询) 测试结果:
- 正则查询取决于正则表达式的效率
import com.it.mhh.elasticsearch.controller.ElasticsearchSelectController;
import com.it.mhh.elasticsearch.entity.Student;
import com.it.mhh.elasticsearch.entity.Teacher;
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.Operator;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.data.domain.Sort;
import org.springframework.test.context.junit4.SpringRunner;
import java.io.IOException;
import java.util.*;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述:
*/
@SpringBootTest
@RunWith(SpringRunner.class)
public class ElasticsearchSelectControllerTest {
@Autowired
private ElasticsearchSelectController elasticsearchSelectController;//es的查询
/**
* @param key : es里索引的域(字段名)
* @param value : 查询的值
* @param classType : 返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @return java.util.List<T>
* @explain : 正则表达式查询:regexpQuery
* @Author Mhh
* @Date 2021/12/11 19:17
*/
@Test
public void regexpQuery() {
List<Teacher> teacherEnglishNameList = elasticsearchSelectController.regexpQuery(
"tEnglishName",
"b+(.)*",
Teacher.class);
teacherEnglishNameList.forEach(System.err::println);
System.out.println("---------------------------------------");
List<Teacher> teacherNameList =
elasticsearchSelectController.regexpQuery(
"tName",
"小白+(.)*",
Teacher.class);
teacherNameList.forEach(System.err::println);
}
}
-
8.11 rangeQuery 查询文档(范围查询)
- rangeQuery(String name).from(Object from,boolean includeLower).to(Object to,boolean includeLower)
name: 域名(字段名称)
from: 范围查询的from部分, Null 表示无界
includeLower:是否包含 默认为true[包含]
to: 范围查询的to部分, Null 表示无界
includeLower:是否包含 默认为true[包含]
rangeQuery 查询文档(范围查询) 测试
- 支持范围查询的字段类型有:数值、日期、地址的IP范围。
-
8.11.1 Controller层
import com.it.mhh.elasticsearch.service.ElasticsearchSelectService;
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.Operator;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.domain.Sort;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;
import java.io.IOException;
import java.util.List;
import java.util.Map;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述: 查询类
*/
@RestController
@RequestMapping("/elasticSearch/select")
public class ElasticsearchSelectController {
@Autowired
private ElasticsearchSelectService elasticsearchSelectService;
/**
* @param name :es里索引的域(字段名)
* @param from :范围查询值 1 from(Object from, boolean includeLower) includeLower:是否包含 默认为true[包含]
* // 如果from==null 那么就是<=to的
* @param to :范围查询值 2 to(Object to, boolean includeUpper) includeLower:是否包含 默认为true[包含]
* // 如果to==null 那么就是 >=from的
* @param classType :返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @return java.util.List<T>
* @explain : rangeQuery 范围查询
* @Author Mhh
* @Date 2021/12/12 18:13
*/
@PostMapping("rangeQuery")
public <T> List<T> rangeQuery(String name, Integer from, Integer to, Class<T> classType) {
return elasticsearchSelectService.rangeQuery(name, from, to, classType);
}
}
8.11.2 service层
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.Operator;
import org.springframework.data.domain.Sort;
import java.io.IOException;
import java.util.List;
import java.util.Map;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述: 查询
*/
public interface ElasticsearchSelectService {
/**
* @param name :es里索引的域(字段名)
* @param from :范围查询值 1 from(Object from, boolean includeLower) includeLower:是否包含 默认为true[包含]
* // 如果from==null 那么就是<=to的
* @param to :范围查询值 2 to(Object to, boolean includeUpper) includeLower:是否包含 默认为true[包含]
* // 如果to==null 那么就是 >=from的
* @param classType :返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @return java.util.List<T>
* @explain : rangeQuery 范围查询
* @Author Mhh
* @Date 2021/12/12 18:13
*/
public <T> List<T> rangeQuery(String name, Integer from, Integer to, Class<T> classType);
}
8.11.3 serviceimpl层
import com.it.mhh.elasticsearch.service.ElasticsearchSelectService;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.client.indices.AnalyzeRequest;
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.*;
import org.elasticsearch.search.aggregations.Aggregation;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.aggregations.bucket.terms.Terms;
import org.elasticsearch.search.aggregations.bucket.terms.TermsAggregationBuilder;
import org.elasticsearch.search.aggregations.metrics.*;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.search.suggest.*;
import org.elasticsearch.search.suggest.completion.CompletionSuggestionBuilder;
import org.elasticsearch.search.suggest.phrase.PhraseSuggestionBuilder;
import org.elasticsearch.search.suggest.term.TermSuggestionBuilder;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.domain.PageRequest;
import org.springframework.data.domain.Sort;
import org.springframework.data.elasticsearch.annotations.Document;
import org.springframework.data.elasticsearch.core.ElasticsearchRestTemplate;
import org.springframework.data.elasticsearch.core.SearchHit;
import org.springframework.data.elasticsearch.core.SearchHits;
import org.springframework.data.elasticsearch.core.aggregation.AggregatedPage;
import org.springframework.data.elasticsearch.core.mapping.IndexCoordinates;
import org.springframework.data.elasticsearch.core.query.NativeSearchQuery;
import org.springframework.data.elasticsearch.core.query.NativeSearchQueryBuilder;
import org.springframework.stereotype.Service;
import java.io.IOException;
import java.lang.reflect.Field;
import java.util.*;
import java.util.stream.Collectors;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述:
*/
@Service
public class ElasticsearchSelectServiceImp implements ElasticsearchSelectService {
@Autowired
private ElasticsearchRestTemplate elasticsearchRestTemplate;
/**
* @param name :es里索引的域(字段名)
* @param from :范围查询值 1 from(Object from, boolean includeLower) includeLower:是否包含 默认为true[包含]
* // 如果from==null 那么就是<=to的
* @param to :范围查询值 2 to(Object to, boolean includeUpper) includeLower:是否包含 默认为true[包含]
* // 如果to==null 那么就是 >=from的
* @param classType :返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @return java.util.List<T>
* @explain : rangeQuery 范围查询
* @Author Mhh
* @Date 2021/12/12 18:13
*/
public <T> List<T> rangeQuery(String name, Integer from, Integer to, Class<T> classType) {
//查询条件(词条查询:对应ES query里的rangeQuery)
RangeQueryBuilder rangeQueryBuilder = QueryBuilders.rangeQuery(name).from(from).to(to);
//创建查询条件构建器SearchSourceBuilder(对应ES外面的大括号)
NativeSearchQuery nativeSearchQuery = new NativeSearchQuery(rangeQueryBuilder);
//查询,获取查询结果
SearchHits<T> search = elasticsearchRestTemplate.search(nativeSearchQuery, classType);
//获取总记录数
long totalHits = search.getTotalHits();
//获取值返回
return search.getSearchHits().stream().map(SearchHit::getContent).collect(Collectors.toList());
}
}
rangeQuery 查询文档(范围查询) 测试结果:
includeLower=true;(是否包含 默认为true[包含])
- 如果from==null 那么就是<=to的
- 如果to==null 那么就是 >=from的
- 如果 from!=null && to!=null 那么就是from>=to的
import com.it.mhh.elasticsearch.controller.ElasticsearchSelectController;
import com.it.mhh.elasticsearch.entity.Student;
import com.it.mhh.elasticsearch.entity.Teacher;
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.Operator;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.data.domain.Sort;
import org.springframework.test.context.junit4.SpringRunner;
import java.io.IOException;
import java.util.*;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述:
*/
@SpringBootTest
@RunWith(SpringRunner.class)
public class ElasticsearchSelectControllerTest {
@Autowired
private ElasticsearchSelectController elasticsearchSelectController;//es的查询
/**
* @param name :es里索引的域(字段名)
* @param from :范围查询值 1 from(Object from, boolean includeLower) includeLower:是否包含 默认为true[包含]
* // 如果from==null 那么就是<=to的
* @param to :范围查询值 2 to(Object to, boolean includeUpper) includeLower:是否包含 默认为true[包含]
* // 如果to==null 那么就是 >=from的
* @param classType :返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @return java.util.List<T>
* @explain : rangeQuery 范围查询
* @Author Mhh
* @Date 2021/12/12 18:13
*/
@Test
public void rangeQuery() {
List<Teacher> lteTeacherList = elasticsearchSelectController.rangeQuery(
"tAge", null, 18, Teacher.class);
lteTeacherList.forEach(System.err::println);
System.out.println("-------------------------------------");
List<Teacher> gteTeacherList = elasticsearchSelectController.rangeQuery(
"tAge", 18, null, Teacher.class);
gteTeacherList.forEach(System.err::println);
}
}
-
8.12 Sort 查询文档 (排序)
- addSort(Sort sort): 添加排序
by(Sort.Direction direction, String… properties)
direction : 排序 Sort.Direction.ASC:升序 || Sort.Direction.DESC:降序
properties : 域名(可变参数,可传1至多个)
Sort 查询文档 (排序) 测试
- 在排序的过程中,只能使用可排序的属性进行排序(数字、日期)
-
8.12.1 Controller层
import com.it.mhh.elasticsearch.service.ElasticsearchSelectService;
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.Operator;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.domain.Sort;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;
import java.io.IOException;
import java.util.List;
import java.util.Map;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述: 查询类
*/
@RestController
@RequestMapping("/elasticSearch/select")
public class ElasticsearchSelectController {
@Autowired
private ElasticsearchSelectService elasticsearchSelectService;
/**
* @param direction : 排序 Sort.Direction.ASC:升序 || Sort.Direction.DESC:降序
* @param classType : 返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @param properties : 域名(可变参数,可传1至多个)
* @return java.util.List<T>
* @explain : 给查询 结果排序
* @Author Mhh
* @Date 2021/12/12 18:45
*/
@PostMapping("sort")
public <T> List<T> sort(Sort.Direction direction, Class<T> classType, String... properties) {
return elasticsearchSelectService.sort(direction, classType, properties);
}
}
8.12.2 service层
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.Operator;
import org.springframework.data.domain.Sort;
import java.io.IOException;
import java.util.List;
import java.util.Map;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述: 查询
*/
public interface ElasticsearchSelectService {
/**
* @param direction : 排序 Sort.Direction.ASC:升序 || Sort.Direction.DESC:降序
* @param classType : 返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @param properties : 域名(可变参数,可传1至多个)
* @return java.util.List<T>
* @explain : 给查询 结果排序
* @Author Mhh
* @Date 2021/12/12 18:45
*/
public <T> List<T> sort(Sort.Direction direction, Class<T> classType, String... properties);
}
8.12.3 serviceimpl层
import com.it.mhh.elasticsearch.service.ElasticsearchSelectService;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.client.indices.AnalyzeRequest;
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.*;
import org.elasticsearch.search.aggregations.Aggregation;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.aggregations.bucket.terms.Terms;
import org.elasticsearch.search.aggregations.bucket.terms.TermsAggregationBuilder;
import org.elasticsearch.search.aggregations.metrics.*;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.search.suggest.*;
import org.elasticsearch.search.suggest.completion.CompletionSuggestionBuilder;
import org.elasticsearch.search.suggest.phrase.PhraseSuggestionBuilder;
import org.elasticsearch.search.suggest.term.TermSuggestionBuilder;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.domain.PageRequest;
import org.springframework.data.domain.Sort;
import org.springframework.data.elasticsearch.annotations.Document;
import org.springframework.data.elasticsearch.core.ElasticsearchRestTemplate;
import org.springframework.data.elasticsearch.core.SearchHit;
import org.springframework.data.elasticsearch.core.SearchHits;
import org.springframework.data.elasticsearch.core.aggregation.AggregatedPage;
import org.springframework.data.elasticsearch.core.mapping.IndexCoordinates;
import org.springframework.data.elasticsearch.core.query.NativeSearchQuery;
import org.springframework.data.elasticsearch.core.query.NativeSearchQueryBuilder;
import org.springframework.stereotype.Service;
import java.io.IOException;
import java.lang.reflect.Field;
import java.util.*;
import java.util.stream.Collectors;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述:
*/
@Service
public class ElasticsearchSelectServiceImp implements ElasticsearchSelectService {
@Autowired
private ElasticsearchRestTemplate elasticsearchRestTemplate;
/**
* @param direction : 排序 Sort.Direction.ASC:升序 || Sort.Direction.DESC:降序
* @param classType : 返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @param properties : 域名(可变参数,可传1至多个)
* @return java.util.List<T>
* @explain : 给查询 结果排序
* @Author Mhh
* @Date 2021/12/12 18:45
*/
public <T> List<T> sort(Sort.Direction direction, Class<T> classType, String... properties) {
//查询条件(词条查询:对应ES query里的sort)
MatchAllQueryBuilder matchAllQueryBuilder = QueryBuilders.matchAllQuery();
//创建查询条件构建器SearchSourceBuilder(对应ES外面的大括号)
NativeSearchQuery nativeSearchQuery = new NativeSearchQuery(matchAllQueryBuilder);
nativeSearchQuery.addSort(Sort.by(direction, properties));
//查询,获取查询结果
SearchHits<T> search = elasticsearchRestTemplate.search(nativeSearchQuery, classType);
//获取总记录数
long totalHits = search.getTotalHits();
//获取值返回
return search.getSearchHits().stream().map(SearchHit::getContent).collect(Collectors.toList());
}
}
Sort 查询文档 (排序) 测试结果:
- ES支持多级排序—sort : 将查询结果首先按第一个自定义条件排序,当第一个 sort 值完全相同时,再按照第二个条件进行排序,以此类推。
import com.it.mhh.elasticsearch.controller.ElasticsearchSelectController;
import com.it.mhh.elasticsearch.entity.Student;
import com.it.mhh.elasticsearch.entity.Teacher;
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.Operator;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.data.domain.Sort;
import org.springframework.test.context.junit4.SpringRunner;
import java.io.IOException;
import java.util.*;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述:
*/
@SpringBootTest
@RunWith(SpringRunner.class)
public class ElasticsearchSelectControllerTest {
@Autowired
private ElasticsearchSelectController elasticsearchSelectController;//es的查询
/**
* @param direction : 排序 Sort.Direction.ASC:升序 || Sort.Direction.DESC:降序
* @param classType : 返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @param properties : 域名(可变参数,可传1至多个)
* @return java.util.List<T>
* @explain : 给查询 结果排序
* @Author Mhh
* @Date 2021/12/12 18:45
*/
@Test
public void sort() {
List<Teacher> ascTeacherList = elasticsearchSelectController.sort(
Sort.Direction.ASC, Teacher.class, "tAge");
ascTeacherList.forEach(System.err::println);
System.out.println("------------------------------------");
List<Teacher> descTeacherList = elasticsearchSelectController.sort(
Sort.Direction.DESC, Teacher.class, "tAge");
descTeacherList.forEach(System.err::println);
}
}
-
8.13 queryStringQuery 查询文档 (多条件查询 一值多域)
- queryStringQuery(String queryString).fields(Map<String, Float> fields).analyzer(String analyzer).defaultOperator(Operator defaultOperator)
queryString : 要运行的查询字符串
fields : 添加多个域(字段)以及针对特定权重进行查询。
analyzer : 选择分词器(对查询的只进行分词)
defaultOperator : Operator.OR 并集 || Operator.AND 交集
queryStringQuery 查询文档 (多条件查询 一值多域) 测试
- queryString 多条件查询
- 会对查询条件进行分词。
- 将分词后的查询条件和词条进行等值匹配
- 默认取并集(OR)
- 可以指定多个查询字段
- query_string:识别query中的连接符(or 、and)
-
8.13.1 Controller层
import com.it.mhh.elasticsearch.service.ElasticsearchSelectService;
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.Operator;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.domain.Sort;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;
import java.io.IOException;
import java.util.List;
import java.util.Map;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述: 查询类
*/
@RestController
@RequestMapping("/elasticSearch/select")
public class ElasticsearchSelectController {
@Autowired
private ElasticsearchSelectService elasticsearchSelectService;
/*
* 多域查询的交并集理解:
* OR: 只要有一个域中包含入参value被分词后的"一个值"时就返回
* AND: 只要有一个域中包含入参value被分词后的"所有值"时返回
*
* @param fields : Map<String,Float>类型:key为域名,Float为boost值
* boost: 参数被用来提升一个语句的相对权重( boost 值大于 1 )或降低相对权重( boost 值处于 0 到 1 之间),但是这种提升或降低并不是线性的,换句话说,如果一个 boost 值为 2 ,并不能获得两倍的评分 _score 。
* @param queryString : 要查询的值 (会对查询条件进行分词)
* @param analyzer : 选择分词器[ik_smart粗粒度,ik_max_word细粒度] 默认:ik_max_word细粒度
* @param operator : Operator.OR(并集) [默认] 只要分的词有一个和索引字段上对应上则就返回
* Operator.AND(交集) 分的词全部满足的数据返回
* @param classType : 返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @return java.util.List<T>
* @explain : queryString 多条件查询
* •会对查询条件进行分词。
* •然后将分词后的查询条件和词条进行等值匹配
* •默认取并集(OR)
* •可以指定多个查询字段
* •query_string:识别query中的连接符(or 、and)
* @Author Mhh
* @Date 2021/12/12 19:45
*/
@PostMapping("queryStringQuery")
public <T> List<T> queryStringQuery(Map<String, Float> fields, String queryString, String analyzer, Operator operator, Class<T> classType) {
return elasticsearchSelectService.queryStringQuery(fields, queryString, analyzer, operator, classType);
}
}
8.13.2 service层
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.Operator;
import org.springframework.data.domain.Sort;
import java.io.IOException;
import java.util.List;
import java.util.Map;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述: 查询
*/
public interface ElasticsearchSelectService {
/*
* 多域查询的交并集理解:
* OR: 只要有一个域中包含入参value被分词后的"一个值"时就返回
* AND: 只要有一个域中包含入参value被分词后的"所有值"时返回
*
* @param fields : Map<String,Float>类型:key为域名,Float为boost值
* boost: 参数被用来提升一个语句的相对权重( boost 值大于 1 )或降低相对权重( boost 值处于 0 到 1 之间),但是这种提升或降低并不是线性的,换句话说,如果一个 boost 值为 2 ,并不能获得两倍的评分 _score 。
* @param queryString : 要查询的值 (会对查询条件进行分词)
* @param analyzer : 选择分词器[ik_smart粗粒度,ik_max_word细粒度] 默认:ik_max_word细粒度
* @param operator : Operator.OR(并集) [默认] 只要分的词有一个和索引字段上对应上则就返回
* Operator.AND(交集) 分的词全部满足的数据返回
* @param classType : 返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @return java.util.List<T>
* @explain : queryString 多条件查询
* •会对查询条件进行分词。
* •然后将分词后的查询条件和词条进行等值匹配
* •默认取并集(OR)
* •可以指定多个查询字段
* •query_string:识别query中的连接符(or 、and)
* @Author Mhh
* @Date 2021/12/12 19:45
*/
public <T> List<T> queryStringQuery(Map<String, Float> fields, String queryString, String analyzer, Operator operator, Class<T> classType);
}
8.13.3 serviceimpl层
import com.it.mhh.elasticsearch.service.ElasticsearchSelectService;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.client.indices.AnalyzeRequest;
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.*;
import org.elasticsearch.search.aggregations.Aggregation;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.aggregations.bucket.terms.Terms;
import org.elasticsearch.search.aggregations.bucket.terms.TermsAggregationBuilder;
import org.elasticsearch.search.aggregations.metrics.*;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.search.suggest.*;
import org.elasticsearch.search.suggest.completion.CompletionSuggestionBuilder;
import org.elasticsearch.search.suggest.phrase.PhraseSuggestionBuilder;
import org.elasticsearch.search.suggest.term.TermSuggestionBuilder;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.domain.PageRequest;
import org.springframework.data.domain.Sort;
import org.springframework.data.elasticsearch.annotations.Document;
import org.springframework.data.elasticsearch.core.ElasticsearchRestTemplate;
import org.springframework.data.elasticsearch.core.SearchHit;
import org.springframework.data.elasticsearch.core.SearchHits;
import org.springframework.data.elasticsearch.core.aggregation.AggregatedPage;
import org.springframework.data.elasticsearch.core.mapping.IndexCoordinates;
import org.springframework.data.elasticsearch.core.query.NativeSearchQuery;
import org.springframework.data.elasticsearch.core.query.NativeSearchQueryBuilder;
import org.springframework.stereotype.Service;
import java.io.IOException;
import java.lang.reflect.Field;
import java.util.*;
import java.util.stream.Collectors;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述:
*/
@Service
public class ElasticsearchSelectServiceImp implements ElasticsearchSelectService {
@Autowired
private ElasticsearchRestTemplate elasticsearchRestTemplate;
/*
* 多域查询的交并集理解:
* OR: 只要有一个域中包含入参value被分词后的"一个值"时就返回
* AND: 只要有一个域中包含入参value被分词后的"所有值"时返回
*
* @param fields : Map<String,Float>类型:key为域名,Float为boost值
* boost: 参数被用来提升一个语句的相对权重( boost 值大于 1 )或降低相对权重( boost 值处于 0 到 1 之间),但是这种提升或降低并不是线性的,换句话说,如果一个 boost 值为 2 ,并不能获得两倍的评分 _score 。
* @param queryString : 要查询的值 (会对查询条件进行分词)
* @param analyzer : 选择分词器[ik_smart粗粒度,ik_max_word细粒度] 默认:ik_max_word细粒度
* @param operator : Operator.OR(并集) [默认] 只要分的词有一个和索引字段上对应上则就返回
* Operator.AND(交集) 分的词全部满足的数据返回
* @param classType : 返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @return java.util.List<T>
* @explain : queryString 多条件查询
* •会对查询条件进行分词。
* •然后将分词后的查询条件和词条进行等值匹配
* •默认取并集(OR)
* •可以指定多个查询字段
* •query_string:识别query中的连接符(or 、and)
* @Author Mhh
* @Date 2021/12/12 19:45
*/
public <T> List<T> queryStringQuery(Map<String, Float> fields, String queryString, String analyzer, Operator operator, Class<T> classType) {
//查询条件(词条查询:对应ES query里的queryStringQuery)
QueryStringQueryBuilder queryStringQueryBuilder = QueryBuilders.queryStringQuery(queryString).fields(fields).analyzer(analyzer).defaultOperator(operator);
//创建查询条件构建器SearchSourceBuilder(对应ES外面的大括号)
NativeSearchQuery nativeSearchQuery = new NativeSearchQuery(queryStringQueryBuilder);
//查询,获取查询结果
SearchHits<T> search = elasticsearchRestTemplate.search(nativeSearchQuery, classType);
//获取总记录数
long totalHits = search.getTotalHits();
//获取值返回
return search.getSearchHits().stream().map(SearchHit::getContent).collect(Collectors.toList());
}
}
queryStringQuery 查询文档 (多条件查询 一值多域) 测试结果:
- query中的or and 是查询时 匹配条件是否同时出现----or 出现一个即可,and 两个条件同时出现
- default_operator的or and 是对结果进行 并集(or)、交集(and)
import com.it.mhh.elasticsearch.controller.ElasticsearchSelectController;
import com.it.mhh.elasticsearch.entity.Student;
import com.it.mhh.elasticsearch.entity.Teacher;
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.Operator;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.data.domain.Sort;
import org.springframework.test.context.junit4.SpringRunner;
import java.io.IOException;
import java.util.*;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述:
*/
@SpringBootTest
@RunWith(SpringRunner.class)
public class ElasticsearchSelectControllerTest {
@Autowired
private ElasticsearchSelectController elasticsearchSelectController;//es的查询
/*
* 多域查询的交并集理解:
* OR: 只要有一个域中包含入参value被分词后的"一个值"时就返回
* AND: 只要有一个域中包含入参value被分词后的"所有值"时返回
*
* @param fields : Map<String,Float>类型:key为域名,Float为boost值
* boost: 参数被用来提升一个语句的相对权重( boost 值大于 1 )或降低相对权重( boost 值处于 0 到 1 之间),但是这种提升或降低并不是线性的,换句话说,如果一个 boost 值为 2 ,并不能获得两倍的评分 _score 。
* @param queryString : 要查询的值 (会对查询条件进行分词)
* @param analyzer : 选择分词器[ik_smart粗粒度,ik_max_word细粒度] 默认:ik_max_word细粒度
* @param operator : Operator.OR(并集) [默认] 只要分的词有一个和索引字段上对应上则就返回
* Operator.AND(交集) 分的词全部满足的数据返回
* @param classType : 返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @return java.util.List<T>
* @explain : queryString 多条件查询
* •会对查询条件进行分词。
* •然后将分词后的查询条件和词条进行等值匹配
* •默认取并集(OR)
* •可以指定多个查询字段
* •query_string:识别query中的连接符(or 、and)
* @Author Mhh
* @Date 2021/12/12 19:45
*/
@Test
public void queryStringQuery() throws IllegalAccessException, NoSuchFieldException, IOException {
// List<AnalyzeResponse.AnalyzeToken> analyzeTokens = elasticsearchSelectController.selectBreakUpText("ik_smart", "black是河北省的");
Map<String, Float> fields = new HashMap<>();
fields.put("tAddress", (float) 1);
fields.put("tEnglishName", (float) 1);
List<Teacher> teacherList = elasticsearchSelectController.queryStringQuery(
fields,
"black是山东省的",
"ik_smart",
Operator.OR,
Teacher.class);
teacherList.forEach(System.err::println);
}
}
-
8.14 boolQuery 查询文档 (对多个查询条件连接。连接方式:must)
- must(QueryBuilder queryBuilder)
queryBuilder: 查询语法 包含(term查询、terms查询、match查询、范围查询、模糊查询…)
boolQuery 查询文档 (对多个查询条件连接。连接方式:must) 测试
- must(and):条件必须成立
- must和filter配合使用时,max_score(得分)是显示的
- must 可以是单个条件,也可以对各条件 (默认数组形式)
- maxSore(得分) : 即条件匹配度,匹配度越高,得分越高
-
8.14.1 Controller层
import com.it.mhh.elasticsearch.service.ElasticsearchSelectService;
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.Operator;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.domain.Sort;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;
import java.io.IOException;
import java.util.List;
import java.util.Map;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述: 查询类
*/
@RestController
@RequestMapping("/elasticSearch/select")
public class ElasticsearchSelectController {
@Autowired
private ElasticsearchSelectService elasticsearchSelectService;
/**
* ------boolQuery子句用termsQuery做的测试
* // fields: 只要有一条数据包含fields 都包含value数组中的一种就能返回
*
* @param fields :Map<String,String[]> key:es索引库里的域(字段名), value数组:一域多值, 查询的值
* @param classType : 返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @return java.util.List<T>
* @explain : boolQuery:返回的文档必须满足must子句的条件,并且参与计算分值
* // 条件必须成立,性能比filter低。会计算得分
* // 对多个查询条件连接。连接方式:must(and):条件必须成立(会计算得分)
* // maxSore(得分):即条件匹配度,匹配度越高,得分越高
* @Author Mhh
* @Date 2021/12/13 10:31
*/
@PostMapping("boolQueryBuilderByMust")
public <T> List<T> boolQueryBuilderByMust(Map<String, String[]> fields, Class<T> classType) {
return elasticsearchSelectService.boolQueryBuilderByMust(fields, classType);
}
}
8.14.2 service层
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.Operator;
import org.springframework.data.domain.Sort;
import java.io.IOException;
import java.util.List;
import java.util.Map;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述: 查询
*/
public interface ElasticsearchSelectService {
/**
* ------boolQuery子句用termsQuery做的测试
* // fields: 只要有一条数据包含fields 都包含value数组中的一种就能返回
*
* @param fields :Map<String,String[]> key:es索引库里的域(字段名), value数组:一域多值, 查询的值
* @param classType : 返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @return java.util.List<T>
* @explain : boolQuery:返回的文档必须满足must子句的条件,并且参与计算分值
* // 条件必须成立,性能比filter低。会计算得分
* // 对多个查询条件连接。连接方式:must(and):条件必须成立(会计算得分)
* // maxSore(得分):即条件匹配度,匹配度越高,得分越高
* @Author Mhh
* @Date 2021/12/13 10:31
*/
public <T> List<T> boolQueryBuilderByMust(Map<String, String[]> fields, Class<T> classType);
}
8.14.3 serviceimpl层
import com.it.mhh.elasticsearch.service.ElasticsearchSelectService;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.client.indices.AnalyzeRequest;
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.*;
import org.elasticsearch.search.aggregations.Aggregation;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.aggregations.bucket.terms.Terms;
import org.elasticsearch.search.aggregations.bucket.terms.TermsAggregationBuilder;
import org.elasticsearch.search.aggregations.metrics.*;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.search.suggest.*;
import org.elasticsearch.search.suggest.completion.CompletionSuggestionBuilder;
import org.elasticsearch.search.suggest.phrase.PhraseSuggestionBuilder;
import org.elasticsearch.search.suggest.term.TermSuggestionBuilder;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.domain.PageRequest;
import org.springframework.data.domain.Sort;
import org.springframework.data.elasticsearch.annotations.Document;
import org.springframework.data.elasticsearch.core.ElasticsearchRestTemplate;
import org.springframework.data.elasticsearch.core.SearchHit;
import org.springframework.data.elasticsearch.core.SearchHits;
import org.springframework.data.elasticsearch.core.aggregation.AggregatedPage;
import org.springframework.data.elasticsearch.core.mapping.IndexCoordinates;
import org.springframework.data.elasticsearch.core.query.NativeSearchQuery;
import org.springframework.data.elasticsearch.core.query.NativeSearchQueryBuilder;
import org.springframework.stereotype.Service;
import java.io.IOException;
import java.lang.reflect.Field;
import java.util.*;
import java.util.stream.Collectors;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述:
*/
@Service
public class ElasticsearchSelectServiceImp implements ElasticsearchSelectService {
@Autowired
private ElasticsearchRestTemplate elasticsearchRestTemplate;
/**
* ------boolQuery子句用termsQuery做的测试
* // fields: 只要有一条数据包含fields 都包含value数组中的一种就能返回
*
* @param fields :Map<String,String[]> key:es索引库里的域(字段名), value数组:一域多值, 查询的值
* @param classType : 返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @return java.util.List<T>
* @explain : boolQuery:返回的文档必须满足must子句的条件,并且参与计算分值
* // 条件必须成立,性能比filter低。会计算得分
* // 对多个查询条件连接。连接方式:must(and):条件必须成立(会计算得分)
* // maxSore(得分):即条件匹配度,匹配度越高,得分越高
* @Author Mhh
* @Date 2021/12/13 10:31
*/
public <T> List<T> boolQueryBuilderByMust(Map<String, String[]> fields, Class<T> classType) {
//构建boolQuery(词条查询:对应ES query里的bool)对多个查询条件连接
BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();
fields.forEach((key, value1) -> {
//查询条件(词条查询:对应ES query里的termQuery)
TermsQueryBuilder termsQueryBuilder = QueryBuilders.termsQuery(key, value1);
//must(and):条件必须成立
boolQueryBuilder.must(termsQueryBuilder);
});
//创建查询条件构建器SearchSourceBuilder(对应ES外面的大括号)
NativeSearchQuery nativeSearchQuery = new NativeSearchQuery(boolQueryBuilder);
//查询,获取查询结果
SearchHits<T> search = elasticsearchRestTemplate.search(nativeSearchQuery, classType);
//获取总记录数
long totalHits = search.getTotalHits();
//获取值返回
return search.getSearchHits().stream().map(SearchHit::getContent).collect(Collectors.toList());
}
}
boolQuery 查询文档 (对多个查询条件连接。连接方式:must) 测试结果:
- 条件必须成立,性能比filter低。会计算得分
- 可以手动修改得分(得分越高越靠前)
import com.it.mhh.elasticsearch.controller.ElasticsearchSelectController;
import com.it.mhh.elasticsearch.entity.Student;
import com.it.mhh.elasticsearch.entity.Teacher;
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.Operator;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.data.domain.Sort;
import org.springframework.test.context.junit4.SpringRunner;
import java.io.IOException;
import java.util.*;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述:
*/
@SpringBootTest
@RunWith(SpringRunner.class)
public class ElasticsearchSelectControllerTest {
@Autowired
private ElasticsearchSelectController elasticsearchSelectController;//es的查询
/**
* ------boolQuery子句用termsQuery做的测试
* // fields: 只要有一条数据包含fields 都包含value数组中的一种就能返回
*
* @param fields :Map<String,String[]> key:es索引库里的域(字段名), value数组:一域多值, 查询的值
* @param classType : 返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @return java.util.List<T>
* @explain : boolQuery:返回的文档必须满足must子句的条件,并且参与计算分值
* // 条件必须成立,性能比filter低。会计算得分
* // 对多个查询条件连接。连接方式:must(and):条件必须成立(会计算得分)
* // maxSore(得分):即条件匹配度,匹配度越高,得分越高
* @Author Mhh
* @Date 2021/12/13 10:31
*/
@Test
public void boolQueryBuilderByMust() {
Map<String, String[]> fields = new HashMap<>();
fields.put("tAddress", new String[]{"山东省"});
fields.put("tEnglishName", new String[]{"black"});
fields.put("tAge", new String[]{"15"});
List<Teacher> teacherList = elasticsearchSelectController.boolQueryBuilderByMust(
fields,
Teacher.class);
teacherList.forEach(System.err::println);
}
}
-
8.15 boolQuery 查询文档 (对多个查询条件连接。连接方式:filter)
- filter(QueryBuilder queryBuilder)
queryBuilder: 查询语法 包含(term查询、terms查询、match查询、范围查询、模糊查询…)
boolQuery 查询文档 (对多个查询条件连接。连接方式:filter) 测试
- filter(and):条件必须成立
- filter : 可以是单个条件,也可以对各条件 (默认数组形式)
- filter : 单独使用不会计算得分
-
8.15.1 Controller层
import com.it.mhh.elasticsearch.service.ElasticsearchSelectService;
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.Operator;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.domain.Sort;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;
import java.io.IOException;
import java.util.List;
import java.util.Map;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述: 查询类
*/
@RestController
@RequestMapping("/elasticSearch/select")
public class ElasticsearchSelectController {
@Autowired
private ElasticsearchSelectService elasticsearchSelectService;
/**
* ------boolQuery子句用termsQuery做的测试
* // fields: 只要有一条数据包含fields 都包含value数组中的一种就能返回
*
* @param fields :Map<String,String[]> key:es索引库里的域(字段名), value数组:一域多值, 查询的值(must:数组中多值是或者的关系,只要是所有字段能对应到数组中至少一个值就可以返回)
* @param classType : 返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @return java.util.List<T>
* @explain : boolQuery:返回的文档必须满足filter子句的条件,但是不会像must一样,参与计算分值
* // 对多个查询条件连接。连接方式:filter(and):条件必须成立,性能比must高。不会计算得分
* // maxSore(得分):即条件匹配度,匹配度越高,得分越高
* @Author Mhh
* @Date 2021/12/13 10:31
*/
@PostMapping("boolQueryBuilderByFilter")
public <T> List<T> boolQueryBuilderByFilter(Map<String, String[]> fields, Class<T> classType) {
return elasticsearchSelectService.boolQueryBuilderByFilter(fields, classType);
}
}
8.15.2 service层
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.Operator;
import org.springframework.data.domain.Sort;
import java.io.IOException;
import java.util.List;
import java.util.Map;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述: 查询
*/
public interface ElasticsearchSelectService {
/**
* ------boolQuery子句用termsQuery做的测试
* // fields: 只要有一条数据包含fields 都包含value数组中的一种就能返回
*
* @param fields :Map<String,String[]> key:es索引库里的域(字段名), value数组:一域多值, 查询的值(must:数组中多值是或者的关系,只要是所有字段能对应到数组中至少一个值就可以返回)
* @param classType : 返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @return java.util.List<T>
* @explain : boolQuery:返回的文档必须满足filter子句的条件,但是不会像must一样,参与计算分值
* // 对多个查询条件连接。连接方式:filter(and):条件必须成立,性能比must高。不会计算得分
* // maxSore(得分):即条件匹配度,匹配度越高,得分越高
* @Author Mhh
* @Date 2021/12/13 10:31
*/
public <T> List<T> boolQueryBuilderByFilter(Map<String, String[]> fields, Class<T> classType);
}
8.15.3 serviceimpl层
import com.it.mhh.elasticsearch.service.ElasticsearchSelectService;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.client.indices.AnalyzeRequest;
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.*;
import org.elasticsearch.search.aggregations.Aggregation;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.aggregations.bucket.terms.Terms;
import org.elasticsearch.search.aggregations.bucket.terms.TermsAggregationBuilder;
import org.elasticsearch.search.aggregations.metrics.*;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.search.suggest.*;
import org.elasticsearch.search.suggest.completion.CompletionSuggestionBuilder;
import org.elasticsearch.search.suggest.phrase.PhraseSuggestionBuilder;
import org.elasticsearch.search.suggest.term.TermSuggestionBuilder;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.domain.PageRequest;
import org.springframework.data.domain.Sort;
import org.springframework.data.elasticsearch.annotations.Document;
import org.springframework.data.elasticsearch.core.ElasticsearchRestTemplate;
import org.springframework.data.elasticsearch.core.SearchHit;
import org.springframework.data.elasticsearch.core.SearchHits;
import org.springframework.data.elasticsearch.core.aggregation.AggregatedPage;
import org.springframework.data.elasticsearch.core.mapping.IndexCoordinates;
import org.springframework.data.elasticsearch.core.query.NativeSearchQuery;
import org.springframework.data.elasticsearch.core.query.NativeSearchQueryBuilder;
import org.springframework.stereotype.Service;
import java.io.IOException;
import java.lang.reflect.Field;
import java.util.*;
import java.util.stream.Collectors;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述:
*/
@Service
public class ElasticsearchSelectServiceImp implements ElasticsearchSelectService {
@Autowired
private ElasticsearchRestTemplate elasticsearchRestTemplate;
/**
* ------boolQuery子句用termsQuery做的测试
* // fields: 只要有一条数据包含fields 都包含value数组中的一种就能返回
*
* @param fields :Map<String,String[]> key:es索引库里的域(字段名), value数组:一域多值, 查询的值(must:数组中多值是或者的关系,只要是所有字段能对应到数组中至少一个值就可以返回)
* @param classType : 返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @return java.util.List<T>
* @explain : boolQuery:返回的文档必须满足filter子句的条件,但是不会像must一样,参与计算分值
* // 对多个查询条件连接。连接方式:filter(and):条件必须成立,性能比must高。不会计算得分
* // maxSore(得分):即条件匹配度,匹配度越高,得分越高
* @Author Mhh
* @Date 2021/12/13 10:31
*/
public <T> List<T> boolQueryBuilderByFilter(Map<String, String[]> fields, Class<T> classType) {
//构建boolQuery(词条查询:对应ES query里的bool)对多个查询条件连接
BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();
fields.forEach((key, value1) -> {
//查询条件(词条查询:对应ES query里的termQuery)
TermsQueryBuilder termsQueryBuilder = QueryBuilders.termsQuery(key, value1);
//must(and):条件必须成立
boolQueryBuilder.filter(termsQueryBuilder);
});
//创建查询条件构建器SearchSourceBuilder(对应ES外面的大括号)
NativeSearchQuery nativeSearchQuery = new NativeSearchQuery(boolQueryBuilder);
//查询,获取查询结果
SearchHits<T> search = elasticsearchRestTemplate.search(nativeSearchQuery, classType);
//获取总记录数
long totalHits = search.getTotalHits();
//获取值返回
return search.getSearchHits().stream().map(SearchHit::getContent).collect(Collectors.toList());
}
}
boolQuery 查询文档 (对多个查询条件连接。连接方式:filter) 测试结果:
- filter:条件必须成立,性能比must高。不会计算得分
import com.it.mhh.elasticsearch.controller.ElasticsearchSelectController;
import com.it.mhh.elasticsearch.entity.Student;
import com.it.mhh.elasticsearch.entity.Teacher;
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.Operator;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.data.domain.Sort;
import org.springframework.test.context.junit4.SpringRunner;
import java.io.IOException;
import java.util.*;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述:
*/
@SpringBootTest
@RunWith(SpringRunner.class)
public class ElasticsearchSelectControllerTest {
@Autowired
private ElasticsearchSelectController elasticsearchSelectController;//es的查询
/**
* ------boolQuery子句用termsQuery做的测试
* // fields: 只要有一条数据包含fields 都包含value数组中的一种就能返回
*
* @param fields :Map<String,String[]> key:es索引库里的域(字段名), value数组:一域多值, 查询的值(must:数组中多值是或者的关系,只要是所有字段能对应到数组中至少一个值就可以返回)
* @param classType : 返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @return java.util.List<T>
* @explain : boolQuery:返回的文档必须满足filter子句的条件,但是不会像must一样,参与计算分值
* // 对多个查询条件连接。连接方式:filter(and):条件必须成立,性能比must高。不会计算得分
* // maxSore(得分):即条件匹配度,匹配度越高,得分越高
* @Author Mhh
* @Date 2021/12/13 10:31
*/
@Test
public void boolQueryBuilderByFilter() {
Map<String, String[]> fields = new HashMap<>();
fields.put("tAddress", new String[]{"山东省", "山西省"});
fields.put("tEnglishName", new String[]{"black", "green"});
fields.put("tAge", new String[]{"15", "24"});
List<Teacher> teacherList = elasticsearchSelectController.boolQueryBuilderByFilter(
fields,
Teacher.class);
teacherList.forEach(System.err::println);
}
}
-
8.16 boolQuery 查询文档 (对多个查询条件连接。连接方式:must_not)
- mustNot(QueryBuilder queryBuilder)
queryBuilder: 查询语法 包含(term查询、terms查询、match查询、范围查询、模糊查询…)
boolQuery 查询文档 (对多个查询条件连接。连接方式:must_not) 测试
- must_not(not):条件必须不成立
- must_not : 可以是单个条件,也可以对各条件 (默认数组形式)
-
8.16.1 Controller层
import com.it.mhh.elasticsearch.service.ElasticsearchSelectService;
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.Operator;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.domain.Sort;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;
import java.io.IOException;
import java.util.List;
import java.util.Map;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述: 查询类
*/
@RestController
@RequestMapping("/elasticSearch/select")
public class ElasticsearchSelectController {
@Autowired
private ElasticsearchSelectService elasticsearchSelectService;
/**
* ------boolQuery子句用termsQuery做的测试
*
* @param fields :Map<String,String[]> key:es索引库里的域(字段名), value数组:一域多值, 查询的值(must_not:只要是所有字段都对应不到数组中的值就可以返回)
* //fields 只要数据不包含在 value数组中指定的返回
* @param classType : 返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @return java.util.List<T>
* @explain : boolQuery:返回的文档必须不满足定义的条件
* // 对多个查询条件连接。连接方式:must_not(not):条件必须不成立
* @Author Mhh
* @Date 2021/12/19 18:55
*/
@PostMapping("boolQueryBuilderByMustNot")
public <T> List<T> boolQueryBuilderByMustNot(Map<String, String[]> fields, Class<T> classType) {
return elasticsearchSelectService.boolQueryBuilderByMustNot(fields, classType);
}
}
8.16.2 service层
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.Operator;
import org.springframework.data.domain.Sort;
import java.io.IOException;
import java.util.List;
import java.util.Map;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述: 查询
*/
public interface ElasticsearchSelectService {
/**
* ------boolQuery子句用termsQuery做的测试
*
* @param fields :Map<String,String[]> key:es索引库里的域(字段名), value数组:一域多值, 查询的值
* //fields 只要数据不包含在 value数组中指定的返回
* @param classType : 返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @return java.util.List<T>
* @explain : boolQuery:返回的文档必须不满足定义的条件
* // 对多个查询条件连接。连接方式:must_not(not):条件必须不成立
* @Author Mhh
* @Date 2021/12/19 18:55
*/
public <T> List<T> boolQueryBuilderByMustNot(Map<String, String[]> fields, Class<T> classType);
}
8.16.3 serviceimpl层
import com.it.mhh.elasticsearch.service.ElasticsearchSelectService;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.client.indices.AnalyzeRequest;
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.*;
import org.elasticsearch.search.aggregations.Aggregation;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.aggregations.bucket.terms.Terms;
import org.elasticsearch.search.aggregations.bucket.terms.TermsAggregationBuilder;
import org.elasticsearch.search.aggregations.metrics.*;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.search.suggest.*;
import org.elasticsearch.search.suggest.completion.CompletionSuggestionBuilder;
import org.elasticsearch.search.suggest.phrase.PhraseSuggestionBuilder;
import org.elasticsearch.search.suggest.term.TermSuggestionBuilder;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.domain.PageRequest;
import org.springframework.data.domain.Sort;
import org.springframework.data.elasticsearch.annotations.Document;
import org.springframework.data.elasticsearch.core.ElasticsearchRestTemplate;
import org.springframework.data.elasticsearch.core.SearchHit;
import org.springframework.data.elasticsearch.core.SearchHits;
import org.springframework.data.elasticsearch.core.aggregation.AggregatedPage;
import org.springframework.data.elasticsearch.core.mapping.IndexCoordinates;
import org.springframework.data.elasticsearch.core.query.NativeSearchQuery;
import org.springframework.data.elasticsearch.core.query.NativeSearchQueryBuilder;
import org.springframework.stereotype.Service;
import java.io.IOException;
import java.lang.reflect.Field;
import java.util.*;
import java.util.stream.Collectors;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述:
*/
@Service
public class ElasticsearchSelectServiceImp implements ElasticsearchSelectService {
@Autowired
private ElasticsearchRestTemplate elasticsearchRestTemplate;
/**
* ------boolQuery子句用termsQuery做的测试
*
* @param fields :Map<String,String[]> key:es索引库里的域(字段名), value数组:一域多值, 查询的值
* //fields 只要数据不包含在 value数组中指定的返回
* @param classType : 返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @return java.util.List<T>
* @explain : boolQuery:返回的文档必须不满足定义的条件
* // 对多个查询条件连接。连接方式:must_not(not):条件必须不成立
* @Author Mhh
* @Date 2021/12/19 18:55
*/
public <T> List<T> boolQueryBuilderByMustNot(Map<String, String[]> fields, Class<T> classType) {
//构建boolQuery(词条查询:对应ES query里的bool)对多个查询条件连接
BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();
fields.forEach((key, value1) -> {
//查询条件(词条查询:对应ES query里的termQuery)
TermsQueryBuilder termsQueryBuilder = QueryBuilders.termsQuery(key, value1);
//must(and):条件必须成立
boolQueryBuilder.mustNot(termsQueryBuilder);
});
//创建查询条件构建器SearchSourceBuilder(对应ES外面的大括号)
NativeSearchQuery nativeSearchQuery = new NativeSearchQuery(boolQueryBuilder);
//查询,获取查询结果
SearchHits<T> search = elasticsearchRestTemplate.search(nativeSearchQuery, classType);
//获取总记录数
long totalHits = search.getTotalHits();
//获取值返回
return search.getSearchHits().stream().map(SearchHit::getContent).collect(Collectors.toList());
}
}
boolQuery 查询文档 (对多个查询条件连接。连接方式:must_not) 测试结果:
- must_not:返回文档查询到不满足定义的条件
import com.it.mhh.elasticsearch.controller.ElasticsearchSelectController;
import com.it.mhh.elasticsearch.entity.Student;
import com.it.mhh.elasticsearch.entity.Teacher;
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.Operator;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.data.domain.Sort;
import org.springframework.test.context.junit4.SpringRunner;
import java.io.IOException;
import java.util.*;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述:
*/
@SpringBootTest
@RunWith(SpringRunner.class)
public class ElasticsearchSelectControllerTest {
@Autowired
private ElasticsearchSelectController elasticsearchSelectController;//es的查询
/**
* ------boolQuery子句用termsQuery做的测试
*
* @param fields :Map<String,String[]> key:es索引库里的域(字段名), value数组:一域多值, 查询的值(must_not:只要是所有字段都对应不到数组中的值就可以返回)
* //fields 只要数据不包含在 value数组中指定的返回
* @param classType : 返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @return java.util.List<T>
* @explain : boolQuery:返回的文档必须不满足定义的条件
* // 对多个查询条件连接。连接方式:must_not(not):条件必须不成立
* @Author Mhh
* @Date 2021/12/19 18:55
*/
@Test
public void boolQueryBuilderByMustNot() {
Map<String, String[]> fields = new HashMap<>();
fields.put("tAddress", new String[]{"山东省"});
fields.put("tEnglishName", new String[]{"black"});
fields.put("tAge", new String[]{"24", "21"});
List<Teacher> teacherList = elasticsearchSelectController.boolQueryBuilderByMustNot(
fields,
Teacher.class);
teacherList.forEach(System.err::println);
}
}
-
8.17 boolQuery 查询文档 (对多个查询条件连接。连接方式:should)
- should(QueryBuilder queryBuilder)
queryBuilder: 查询语法 包含(term查询、terms查询、match查询、范围查询、模糊查询…)
boolQuery 查询文档 (对多个查询条件连接。连接方式:should) 测试
- should(or):条件可以成立
- minimumShouldMatch : 参数定义了至少满足几个子句
- should : 可以是单个条件,也可以对各条件 (默认数组形式)
-
8.17.1 Controller层
import com.it.mhh.elasticsearch.service.ElasticsearchSelectService;
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.Operator;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.domain.Sort;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;
import java.io.IOException;
import java.util.List;
import java.util.Map;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述: 查询类
*/
@RestController
@RequestMapping("/elasticSearch/select")
public class ElasticsearchSelectController {
@Autowired
private ElasticsearchSelectService elasticsearchSelectService;
/**
* ------boolQuery子句用termsQuery做的测试
*
* @param fields :Map<String,String[]> key:es索引库里的域(字段名), value数组:一域多值, 查询的值(should:只要有一条数据对应的字段包含 value数组的值就返回)
* // 只要有一条数据对应的字段包含 value数组的值就返回
* @param minimumShouldMatch : 参数定义了至少满足几个子句
* @param classType : 返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @return java.util.List<T>
* @explain : boolQuery:返回的文档可能满足should子句的条件.
* // 在一个bool查询中,如果没有must或者filter,有一个或者多个should子句,那么只要满足一个就可以返回
* @Author Mhh
* @Date 2021/12/19 19:23
*/
@PostMapping("boolQueryBuilderByShould")
public <T> List<T> boolQueryBuilderByShould(Map<String, String[]> fields, Integer minimumShouldMatch, Class<T> classType) {
return elasticsearchSelectService.boolQueryBuilderByShould(fields, minimumShouldMatch, classType);
}
}
8.17.2 service层
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.Operator;
import org.springframework.data.domain.Sort;
import java.io.IOException;
import java.util.List;
import java.util.Map;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述: 查询
*/
public interface ElasticsearchSelectService {
/**
* ------boolQuery子句用termsQuery做的测试
*
* @param fields :Map<String,String[]> key:es索引库里的域(字段名), value数组:一域多值, 查询的值(should:只要有一条数据对应的字段包含 value数组的值就返回)
* //只要有一条数据对应的字段包含 value数组的值就返回
* @param minimumShouldMatch : 参数定义了至少满足几个子句
* @param classType : 返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @return java.util.List<T>
* @explain : boolQuery:返回的文档可能满足should子句的条件.
* // 在一个bool查询中,如果没有must或者filter,有一个或者多个should子句,那么只要满足一个就可以返回
* @Author Mhh
* @Date 2021/12/19 19:23
*/
public <T> List<T> boolQueryBuilderByShould(Map<String, String[]> fields, Integer minimumShouldMatch, Class<T> classType);
}
8.17.3 serviceimpl层
import com.it.mhh.elasticsearch.service.ElasticsearchSelectService;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.client.indices.AnalyzeRequest;
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.*;
import org.elasticsearch.search.aggregations.Aggregation;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.aggregations.bucket.terms.Terms;
import org.elasticsearch.search.aggregations.bucket.terms.TermsAggregationBuilder;
import org.elasticsearch.search.aggregations.metrics.*;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.search.suggest.*;
import org.elasticsearch.search.suggest.completion.CompletionSuggestionBuilder;
import org.elasticsearch.search.suggest.phrase.PhraseSuggestionBuilder;
import org.elasticsearch.search.suggest.term.TermSuggestionBuilder;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.domain.PageRequest;
import org.springframework.data.domain.Sort;
import org.springframework.data.elasticsearch.annotations.Document;
import org.springframework.data.elasticsearch.core.ElasticsearchRestTemplate;
import org.springframework.data.elasticsearch.core.SearchHit;
import org.springframework.data.elasticsearch.core.SearchHits;
import org.springframework.data.elasticsearch.core.aggregation.AggregatedPage;
import org.springframework.data.elasticsearch.core.mapping.IndexCoordinates;
import org.springframework.data.elasticsearch.core.query.NativeSearchQuery;
import org.springframework.data.elasticsearch.core.query.NativeSearchQueryBuilder;
import org.springframework.stereotype.Service;
import java.io.IOException;
import java.lang.reflect.Field;
import java.util.*;
import java.util.stream.Collectors;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述:
*/
@Service
public class ElasticsearchSelectServiceImp implements ElasticsearchSelectService {
@Autowired
private ElasticsearchRestTemplate elasticsearchRestTemplate;
/**
* ------boolQuery子句用termsQuery做的测试
*
* @param fields :Map<String,String[]> key:es索引库里的域(字段名), value数组:一域多值, 查询的值(should:只要有一条数据对应的字段包含 value数组的值就返回)
* //只要有一条数据对应的字段包含 value数组的值就返回
* @param minimumShouldMatch : 参数定义了至少满足几个子句
* @param classType : 返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @return java.util.List<T>
* @explain : boolQuery:返回的文档可能满足should子句的条件.
* // 在一个bool查询中,如果没有must或者filter,有一个或者多个should子句,那么只要满足一个就可以返回
* @Author Mhh
* @Date 2021/12/19 19:23
*/
public <T> List<T> boolQueryBuilderByShould(Map<String, String[]> fields, Integer minimumShouldMatch, Class<T> classType) {
//构建boolQuery(词条查询:对应ES query里的bool)对多个查询条件连接
BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();
fields.forEach((key, value1) -> {
//查询条件(词条查询:对应ES query里的termQuery)
TermsQueryBuilder termsQueryBuilder = QueryBuilders.termsQuery(key, value1);
//must(and):条件必须成立
boolQueryBuilder.should(termsQueryBuilder);
});
//参数定义了至少满足几个子句
boolQueryBuilder.minimumShouldMatch(minimumShouldMatch);
//创建查询条件构建器SearchSourceBuilder(对应ES外面的大括号)
NativeSearchQuery nativeSearchQuery = new NativeSearchQuery(boolQueryBuilder);
//查询,获取查询结果
SearchHits<T> search = elasticsearchRestTemplate.search(nativeSearchQuery, classType);
//获取总记录数
long totalHits = search.getTotalHits();
//获取值返回
return search.getSearchHits().stream().map(SearchHit::getContent).collect(Collectors.toList());
}
}
boolQuery 查询文档 (对多个查询条件连接。连接方式:should) 测试结果:
- minimumShouldMatch : 参数定义了至少满足几个子句
- minimumShouldMatch=2:表示必须满足两个子句才能返回
import com.it.mhh.elasticsearch.controller.ElasticsearchSelectController;
import com.it.mhh.elasticsearch.entity.Student;
import com.it.mhh.elasticsearch.entity.Teacher;
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.Operator;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.data.domain.Sort;
import org.springframework.test.context.junit4.SpringRunner;
import java.io.IOException;
import java.util.*;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述:
*/
@SpringBootTest
@RunWith(SpringRunner.class)
public class ElasticsearchSelectControllerTest {
@Autowired
private ElasticsearchSelectController elasticsearchSelectController;//es的查询
/**
* ------boolQuery子句用termsQuery做的测试
*
* @param fields :Map<String,String[]> key:es索引库里的域(字段名), value数组:一域多值, 查询的值(should:只要有一条数据对应的字段包含 value数组的值就返回)
* // 只要有一条数据对应的字段包含 value数组的值就返回
* @param minimumShouldMatch : 参数定义了至少满足几个子句
* @param classType : 返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @return java.util.List<T>
* @explain : boolQuery:返回的文档可能满足should子句的条件.
* // 在一个bool查询中,如果没有must或者filter,有一个或者多个should子句,那么只要满足一个就可以返回
* @Author Mhh
* @Date 2021/12/19 19:23
*/
@Test
public void boolQueryBuilderByShould() {
Map<String, String[]> fields = new HashMap<>();
fields.put("tAddress", new String[]{"山西省"});
fields.put("tEnglishName", new String[]{"green", "yellow"});
// fields.put("tAge", new String[]{"24"});
List<Teacher> teacherList = elasticsearchSelectController.boolQueryBuilderByShould(
fields,
2,
Teacher.class);
teacherList.forEach(System.err::println);
}
}
-
8.18 HighlightBuilder 查询文档 (高亮)
- new HighlightBuilder().field(String name).preTags(String… preTags).postTags(String… postTags)
name : 要突出显示(高亮)的字段
preTags : 设置将用于突出显示的预标签。[前缀]
postTags : 设置将用于突出显示的帖子标签。[后缀]
HighlightBuilder 查询文档 (高亮) 测试
实施步骤:
- 高亮查询:
1. 设置高亮
高亮字段
前缀
后缀
2. 将高亮了的字段数据,替换原有数据
-
8.18.1 Controller层
import com.it.mhh.elasticsearch.service.ElasticsearchSelectService;
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.Operator;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.domain.Sort;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;
import java.io.IOException;
import java.util.List;
import java.util.Map;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述: 查询类
*/
@RestController
@RequestMapping("/elasticSearch/select")
public class ElasticsearchSelectController {
@Autowired
private ElasticsearchSelectService elasticsearchSelectService;
/**
* @param field : 高亮字段 也是 match要查询的字段
* @param preTags : 高亮前缀
* @param postTags : 高亮后缀
* @param text : 查询的值(会分词)
* @param classType : 返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @return java.util.List<T>
* @explain : 给查询到的值进行高亮
* @Author Mhh
* @Date 2021/12/21 15:15
*/
@PostMapping("highlightBuilder")
public <T> List<T> highlightBuilder(String field, String preTags, String postTags, String text, Class<T> classType) {
return elasticsearchSelectService.highlightBuilder(field, preTags, postTags, text, classType);
}
}
8.18.2 service层
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.Operator;
import org.springframework.data.domain.Sort;
import java.io.IOException;
import java.util.List;
import java.util.Map;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述: 查询
*/
public interface ElasticsearchSelectService {
/**
* @param field : 高亮字段 也是 match要查询的字段
* @param preTags : 高亮前缀
* @param postTags : 高亮后缀
* @param text : 查询的值(会分词)
* @param classType : 返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @return java.util.List<T>
* @explain : 给查询到的值进行高亮
* @Author Mhh
* @Date 2021/12/21 15:15
*/
public <T> List<T> highlightBuilder(String field, String preTags, String postTags, String text, Class<T> classType);
}
8.18.3 serviceimpl层
import com.it.mhh.elasticsearch.service.ElasticsearchSelectService;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.client.indices.AnalyzeRequest;
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.*;
import org.elasticsearch.search.aggregations.Aggregation;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.aggregations.bucket.terms.Terms;
import org.elasticsearch.search.aggregations.bucket.terms.TermsAggregationBuilder;
import org.elasticsearch.search.aggregations.metrics.*;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.search.suggest.*;
import org.elasticsearch.search.suggest.completion.CompletionSuggestionBuilder;
import org.elasticsearch.search.suggest.phrase.PhraseSuggestionBuilder;
import org.elasticsearch.search.suggest.term.TermSuggestionBuilder;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.domain.PageRequest;
import org.springframework.data.domain.Sort;
import org.springframework.data.elasticsearch.annotations.Document;
import org.springframework.data.elasticsearch.core.ElasticsearchRestTemplate;
import org.springframework.data.elasticsearch.core.SearchHit;
import org.springframework.data.elasticsearch.core.SearchHits;
import org.springframework.data.elasticsearch.core.aggregation.AggregatedPage;
import org.springframework.data.elasticsearch.core.mapping.IndexCoordinates;
import org.springframework.data.elasticsearch.core.query.NativeSearchQuery;
import org.springframework.data.elasticsearch.core.query.NativeSearchQueryBuilder;
import org.springframework.stereotype.Service;
import java.io.IOException;
import java.lang.reflect.Field;
import java.util.*;
import java.util.stream.Collectors;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述:
*/
@Service
public class ElasticsearchSelectServiceImp implements ElasticsearchSelectService {
@Autowired
private ElasticsearchRestTemplate elasticsearchRestTemplate;
/**
* @param field : 高亮字段 也是 match要查询的字段
* @param preTags : 高亮前缀
* @param postTags : 高亮后缀
* @param text : 查询的值(会分词)
* @param classType : 返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @return java.util.List<T>
* @explain : 给查询到的值进行高亮
* @Author Mhh
* @Date 2021/12/21 15:15
*/
public <T> List<T> highlightBuilder(String field, String preTags, String postTags, String text, Class<T> classType) {
//查询条件(词条查询:对应ES query里的match)
MatchQueryBuilder matchQueryBuilder = QueryBuilders.matchQuery(field, text);
//
//设置高亮三要素 field: 你的高亮字段 // preTags :前缀 // postTags:后缀
HighlightBuilder highlightBuilder = new HighlightBuilder().field(field).preTags(preTags).postTags(postTags);
//创建查询条件构建器SearchSourceBuilder(对应ES外面的大括号)
NativeSearchQuery nativeSearchQuery = new NativeSearchQueryBuilder().withQuery(matchQueryBuilder).withHighlightBuilder(highlightBuilder).build();
//查询,获取查询结果
SearchHits<T> search = elasticsearchRestTemplate.search(nativeSearchQuery, classType);
//获取总记录数
long totalHits = search.getTotalHits();
//获取值返回
return search.getSearchHits().stream().map(searchHit -> {
//获得结果实体
T content = searchHit.getContent();
//所有高亮结果
Map<String, List<String>> highlightFields = searchHit.getHighlightFields();
//遍历高亮结果
for (Map.Entry<String, List<String>> stringListEntry : highlightFields.entrySet()) {
String key = stringListEntry.getKey();
//获取实体反射类
Class<?> aClass = content.getClass();
try {
//获取该实体属性
Field declaredField = aClass.getDeclaredField(key);
//权限为私的 解除!
declaredField.setAccessible(true);
//替换,把高亮字段替换到这个实体对应的属性值上
declaredField.set(content, stringListEntry.getValue().get(0));
} catch (NoSuchFieldException | IllegalAccessException e) {
e.printStackTrace();
}
}
return content;
}).collect(Collectors.toList());
}
}
HighlightBuilder 查询文档 (高亮) 测试结果:
- 高亮字段可以是多个,通过链式调用接着.field(String name);
import com.it.mhh.elasticsearch.controller.ElasticsearchSelectController;
import com.it.mhh.elasticsearch.entity.Student;
import com.it.mhh.elasticsearch.entity.Teacher;
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.Operator;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.data.domain.Sort;
import org.springframework.test.context.junit4.SpringRunner;
import java.io.IOException;
import java.util.*;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述:
*/
@SpringBootTest
@RunWith(SpringRunner.class)
public class ElasticsearchSelectControllerTest {
@Autowired
private ElasticsearchSelectController elasticsearchSelectController;//es的查询
/**
* @param field : 高亮字段 也是 match要查询的字段
* @param preTags : 高亮前缀
* @param postTags : 高亮后缀
* @param text : 查询的值(会分词)
* @param classType : 返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @return java.util.List<T>
* @explain : 给查询到的值进行高亮
* @Author Mhh
* @Date 2021/12/21 15:15
*/
@Test
public void highlightBuilder() {
List<Teacher> teacherList = elasticsearchSelectController.highlightBuilder(
"tAddress",
"<font color='red'>",
"</font>",
"山东省高新区",
Teacher.class);
teacherList.forEach(System.err::println);
}
}
-
8.19 AggregationBuilders 查询文档 (聚合查询)
- AggregationBuilders.max(String name).field(String field) : 最大值(max)
- AggregationBuilders.min(String name).field(String field) : 最小值(min)
- AggregationBuilders.avg(String name).field(String field) : 平均值(avg)
- AggregationBuilders.terms(String name).field(String field) : 分组(group by)
- AggregationBuilders.sum(String name).field(String field) : 总数(sum)
- …
name : 给聚合定义名称
field : 设置用于此聚合的字段。
AggregationBuilders 查询文档 (聚合查询) 测试
- 相当于MySQL的聚合函数。max、min、avg、sum等
- termsAggregationBuilder.subAggregation(AggregationBuilder aggregation) :
相当于MySQL的 group by 操作。不要对text类型的数据进行分组,会失败。
-
8.19.1 Controller层
import com.it.mhh.elasticsearch.service.ElasticsearchSelectService;
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.Operator;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.domain.Sort;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;
import java.io.IOException;
import java.util.List;
import java.util.Map;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述: 查询类
*/
@RestController
@RequestMapping("/elasticSearch/select")
public class ElasticsearchSelectController {
@Autowired
private ElasticsearchSelectService elasticsearchSelectService;
/**
* @param name : es里索引的域(字段名)
* @param classType : 返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @param values : 一域多值, 查询的值
* @return java.util.List<T>
* @explain : 聚合对数据进行分组的求和,求数,最大值,最小值,或者其它的自定义的统计功能,
* // es对聚合有着不错的支持,需要注意的是,在对某字段进行聚合之后,需要开启这个字段的fielddata
* // 不要对text类型的数据进行分组,会失败
* @Author Mhh
* @Date 2021/12/22 14:29
*/
@PostMapping("aggregationBuilder")
public <T> List<T> aggregationBuilder(String name, Class<T> classType, String... values) {
return elasticsearchSelectService.aggregationBuilder(name, classType, values);
}
}
8.19.2 service层
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.Operator;
import org.springframework.data.domain.Sort;
import java.io.IOException;
import java.util.List;
import java.util.Map;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述: 查询
*/
public interface ElasticsearchSelectService {
/**
* @param name : es里索引的域(字段名)
* @param classType : 返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @param values : 一域多值, 查询的值
* @return java.util.List<T>
* @explain : 聚合对数据进行分组的求和,求数,最大值,最小值,或者其它的自定义的统计功能,
* // es对聚合有着不错的支持,需要注意的是,在对某字段进行聚合之后,需要开启这个字段的fielddata
* // 不要对text类型的数据进行分组,会失败
* @Author Mhh
* @Date 2021/12/22 14:29
*/
public <T> List<T> aggregationBuilder(String name, Class<T> classType, String... values);
}
8.19.3 serviceimpl层
import com.it.mhh.elasticsearch.service.ElasticsearchSelectService;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.client.indices.AnalyzeRequest;
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.*;
import org.elasticsearch.search.aggregations.Aggregation;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.aggregations.bucket.terms.Terms;
import org.elasticsearch.search.aggregations.bucket.terms.TermsAggregationBuilder;
import org.elasticsearch.search.aggregations.metrics.*;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.search.suggest.*;
import org.elasticsearch.search.suggest.completion.CompletionSuggestionBuilder;
import org.elasticsearch.search.suggest.phrase.PhraseSuggestionBuilder;
import org.elasticsearch.search.suggest.term.TermSuggestionBuilder;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.domain.PageRequest;
import org.springframework.data.domain.Sort;
import org.springframework.data.elasticsearch.annotations.Document;
import org.springframework.data.elasticsearch.core.ElasticsearchRestTemplate;
import org.springframework.data.elasticsearch.core.SearchHit;
import org.springframework.data.elasticsearch.core.SearchHits;
import org.springframework.data.elasticsearch.core.aggregation.AggregatedPage;
import org.springframework.data.elasticsearch.core.mapping.IndexCoordinates;
import org.springframework.data.elasticsearch.core.query.NativeSearchQuery;
import org.springframework.data.elasticsearch.core.query.NativeSearchQueryBuilder;
import org.springframework.stereotype.Service;
import java.io.IOException;
import java.lang.reflect.Field;
import java.util.*;
import java.util.stream.Collectors;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述:
*/
@Service
public class ElasticsearchSelectServiceImp implements ElasticsearchSelectService {
@Autowired
private ElasticsearchRestTemplate elasticsearchRestTemplate;
/**
* @param name : es里索引的域(字段名)
* @param classType : 返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @param values : 一域多值, 查询的值
* @return java.util.List<T>
* @explain : 聚合对数据进行分组的求和,求数,最大值,最小值,或者其它的自定义的统计功能,
* // es对聚合有着不错的支持,需要注意的是,在对某字段进行聚合之后,需要开启这个字段的fielddata
* // 不要对text类型的数据进行分组,会失败
* @Author Mhh
* @Date 2021/12/22 14:29
*/
public <T> List<T> aggregationBuilder(String name, Class<T> classType, String... values) {
//构建termsQueryBuilder(词条查询:对应ES query里的terms)不分词查询
TermsQueryBuilder termsQueryBuilder = QueryBuilders.termsQuery(name, values);
//最大值(max)
MaxAggregationBuilder maxAggregationBuilder = AggregationBuilders.max("maxAge").field("tAge");
//最小值(min)
MinAggregationBuilder minAggregationBuilder = AggregationBuilders.min("minAge").field("tAge");
//平均值(avg)
AvgAggregationBuilder avgAggregationBuilder = AggregationBuilders.avg("avgAge").field("tAge");
//分组(group by)
TermsAggregationBuilder termsAggregationBuilder = AggregationBuilders.terms("termClassName").field("tClassName");
//总数(sum)
SumAggregationBuilder sumAggregationBuilder = AggregationBuilders.sum("sumAge").field("tAge");
//创建查询条件构建器SearchSourceBuilder(对应ES外面的大括号)
NativeSearchQuery nativeSearchQuery = new NativeSearchQueryBuilder().withQuery(termsQueryBuilder).
//聚合最大值
addAggregation(maxAggregationBuilder).
//聚合最小直
addAggregation(minAggregationBuilder).
//聚合平均值
addAggregation(avgAggregationBuilder).
//聚合总值
addAggregation(sumAggregationBuilder).
//分组后聚合 各组的最大值和各组的总和
addAggregation(termsAggregationBuilder.subAggregation(maxAggregationBuilder).subAggregation(sumAggregationBuilder)).
build();
//查询,获取查询结果
SearchHits<T> search = elasticsearchRestTemplate.search(nativeSearchQuery, classType);
//获取总记录数
long totalHits = search.getTotalHits();
for (Aggregation aggregation : Objects.requireNonNull(search.getAggregations())) {
//查询结果中的总和
Sum sum = aggregation instanceof Sum ? ((Sum) aggregation) : null;
Optional.ofNullable(sum).ifPresent(s -> System.err.println(aggregation.getName() + ":" + s.getValue()));
//查询结果中的最大值
Max max = aggregation instanceof Max ? ((Max) aggregation) : null;
Optional.ofNullable(max).ifPresent(s -> System.err.println(aggregation.getName() + ":" + s.getValue()));
//查询结果中的最小值
Min min = aggregation instanceof Min ? ((Min) aggregation) : null;
Optional.ofNullable(min).ifPresent(s -> System.err.println(aggregation.getName() + ":" + s.getValue()));
//查询结果中的平均值
Avg avg = aggregation instanceof Avg ? ((Avg) aggregation) : null;
Optional.ofNullable(avg).ifPresent(s -> System.err.println(aggregation.getName() + ":" + s.getValue()));
//分组后查询结果
Terms terms = aggregation instanceof Terms ? (Terms) aggregation : null;
Optional.ofNullable(terms).ifPresent(s -> System.err.println(aggregation.getName() + ":" + s.getBuckets()));
}
//获取值返回
return search.getSearchHits().stream().map(SearchHit::getContent).collect(Collectors.toList());
}
}
AggregationBuilders 查询文档 (聚合查询) 测试结果:
- 这里获取分组后的值实在有些繁琐,为了言简意赅只打印了分组后class地址。
import com.it.mhh.elasticsearch.controller.ElasticsearchSelectController;
import com.it.mhh.elasticsearch.entity.Student;
import com.it.mhh.elasticsearch.entity.Teacher;
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.Operator;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.data.domain.Sort;
import org.springframework.test.context.junit4.SpringRunner;
import java.io.IOException;
import java.util.*;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述:
*/
@SpringBootTest
@RunWith(SpringRunner.class)
public class ElasticsearchSelectControllerTest {
@Autowired
private ElasticsearchSelectController elasticsearchSelectController;//es的查询
/**
* @param name : es里索引的域(字段名)
* @param classType : 返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @param values : 一域多值, 查询的值
* @return java.util.List<T>
* @explain : 聚合对数据进行分组的求和,求数,最大值,最小值,或者其它的自定义的统计功能,
* // es对聚合有着不错的支持,需要注意的是,在对某字段进行聚合之后,需要开启这个字段的fielddata
* // 不要对text类型的数据进行分组,会失败
* @Author Mhh
* @Date 2021/12/22 14:29
*/
@Test
public void aggregationBuilder() {
List<Teacher> teacherList = elasticsearchSelectController.aggregationBuilder(
"tAddress",
Teacher.class,
"山东省");
teacherList.forEach(System.err::println);
}
}
-
8.20 SuggestBuilders查询文档 (completionSuggestion—搜索建议补全)
- SuggestBuilders.completionSuggestion(String fieldname).prefix(String prefix).skipDuplicates(boolean skipDuplicates)…
fieldname : 使用fieldName入参进行标题联想(这里就是索引被@CompletionField注解标注的字段)
prefix : 设置要为其提供补全的前缀。前缀由建议分析器进行分析。
skipDuplicates : 是否应过滤重复项。默认为 { false}
SuggestBuilders查询文档 (completionSuggestion—搜索建议补全) 测试
- 完成补全单词,输出如前半部分,补全整个单词
-
8.20.1 Controller层
import com.it.mhh.elasticsearch.service.ElasticsearchSelectService;
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.Operator;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.domain.Sort;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;
import java.io.IOException;
import java.util.List;
import java.util.Map;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述: 查询类
*/
@RestController
@RequestMapping("/elasticSearch/select")
public class ElasticsearchSelectController {
@Autowired
private ElasticsearchSelectService elasticsearchSelectService;
/**
* 速度快 输入的内容立即返回 对字段类型要求多节省存储空间 时间复杂度O(1),做建议不做纠错
* 感觉和prefixQuery 前缀查询 差不多.....
* <p>
* 搜索补全必须定义 这个属性(
* // @CompletionField(analyzer = "ik_smart", searchAnalyzer = "ik_smart", maxInputLength = 100)
* // private Completion completion;)
* // 给Completion属性赋值: new Completion(new String[]{"山东省泰安市岱岳区"}))
* // :里面的值就是被自动补全的值
*
* @param fieldName : 要用哪个字段进行标题联想(必须是这个@CompletionField注解所标注的类型为Completion的字段名)
* @param text : 被补全的值(比如传的是山东 可能就能给补全为 山东省)
* @param classType : 返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @return java.util.List<java.lang.String>
* @explain : 搜索补全功能 比如在输入框输入(天上)下面就自动补全 (天上人间)(天上边的彩霞)(....)
* @Author Mhh
* @Date 2021/12/22 16:51
*/
@PostMapping("completionSuggestion")
public List<String> completionSuggestion(String fieldName, String text, Class<?> classType) {
return elasticsearchSelectService.completionSuggestion(fieldName, text, classType);
}
}
8.20.2 service层
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.Operator;
import org.springframework.data.domain.Sort;
import java.io.IOException;
import java.util.List;
import java.util.Map;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述: 查询
*/
public interface ElasticsearchSelectService {
/**
* 速度要快 输入的内容立即返回 对字段类型要求多节省存储空间 时间复杂度O(1),做建议不做纠错
* 感觉和prefixQuery 前缀查询 差不多.....
* <p>
* 搜索补全必须定义 这个属性(
* // @CompletionField(analyzer = "ik_smart", searchAnalyzer = "ik_smart", maxInputLength = 100)
* // private Completion completion;)
* // 给Completion属性赋值: new Completion(new String[]{"山东省泰安市岱岳区"}))
* // :里面的值就是被自动补全的值
*
* @param fieldName : 要用哪个字段进行标题联想(必须是这个@CompletionField注解所标注的类型为Completion的字段名)
* @param text : 被补全的值(比如传的是山东 可能就能给补全为 山东省)
* @param classType : 返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @return java.util.List<java.lang.String>
* @explain : 搜索补全功能 比如在输入框输入(天上)下面就自动补全 (天上人间)(天上边的彩霞)(....)
* @Author Mhh
* @Date 2021/12/22 16:51
*/
public List<String> completionSuggestion(String fieldName, String text, Class<?> classType);
}
8.20.3 serviceimpl层
import com.it.mhh.elasticsearch.service.ElasticsearchSelectService;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.client.indices.AnalyzeRequest;
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.*;
import org.elasticsearch.search.aggregations.Aggregation;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.aggregations.bucket.terms.Terms;
import org.elasticsearch.search.aggregations.bucket.terms.TermsAggregationBuilder;
import org.elasticsearch.search.aggregations.metrics.*;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.search.suggest.*;
import org.elasticsearch.search.suggest.completion.CompletionSuggestionBuilder;
import org.elasticsearch.search.suggest.phrase.PhraseSuggestionBuilder;
import org.elasticsearch.search.suggest.term.TermSuggestionBuilder;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.domain.PageRequest;
import org.springframework.data.domain.Sort;
import org.springframework.data.elasticsearch.annotations.Document;
import org.springframework.data.elasticsearch.core.ElasticsearchRestTemplate;
import org.springframework.data.elasticsearch.core.SearchHit;
import org.springframework.data.elasticsearch.core.SearchHits;
import org.springframework.data.elasticsearch.core.aggregation.AggregatedPage;
import org.springframework.data.elasticsearch.core.mapping.IndexCoordinates;
import org.springframework.data.elasticsearch.core.query.NativeSearchQuery;
import org.springframework.data.elasticsearch.core.query.NativeSearchQueryBuilder;
import org.springframework.stereotype.Service;
import java.io.IOException;
import java.lang.reflect.Field;
import java.util.*;
import java.util.stream.Collectors;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述:
*/
@Service
public class ElasticsearchSelectServiceImp implements ElasticsearchSelectService {
@Autowired
private ElasticsearchRestTemplate elasticsearchRestTemplate;
/**
* 速度要快 输入的内容立即返回 对字段类型要求多节省存储空间 时间复杂度O(1),做建议不做纠错
* 感觉和prefixQuery 前缀查询 差不多.....
* <p>
* 搜索补全必须定义 这个属性(
* // @CompletionField(analyzer = "ik_smart", searchAnalyzer = "ik_smart", maxInputLength = 100)
* // private Completion completion;)
* // 给Completion属性赋值: new Completion(new String[]{"山东省泰安市岱岳区"}))
* // :里面的值就是被自动补全的值
*
* @param fieldName : 要用哪个字段进行标题联想(必须是这个@CompletionField注解所标注的类型为Completion的字段名)
* @param text : 被补全的值(比如传的是山东 可能就能给补全为 山东省)
* @param classType : 返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @return java.util.List<java.lang.String>
* @explain : 搜索补全功能 比如在输入框输入(天上)下面就自动补全 (天上人间)(天上边的彩霞)(....)
* @Author Mhh
* @Date 2021/12/22 16:51
*/
public List<String> completionSuggestion(String fieldName, String text, Class<?> classType) {
//定义反参容器
List<String> stringList = new ArrayList<>();
//构建搜索建议补全对象
CompletionSuggestionBuilder completionSuggestionBuilder = SuggestBuilders.
completionSuggestion(fieldName). // 使用fieldName入参进行标题联想(这里就是索引被@CompletionField注解标注的字段)
prefix(text). // 关键字(参数传此)
skipDuplicates(true)// 重复过滤
//.size(100) // 匹配数量
;
//创建搜索提示对象 进行封装搜索补全
SuggestBuilder suggestBuilder = new SuggestBuilder();
// completionSuggestionBuilder:随便起的搜索补全的名字
suggestBuilder.addSuggestion("completionSuggestionBuilder", completionSuggestionBuilder);
//查询es并反参
SearchResponse searchResponse = elasticsearchRestTemplate.suggest(suggestBuilder, elasticsearchRestTemplate.getIndexCoordinatesFor(classType));
//获取反参中的搜索补全结果
Suggest.Suggestion<? extends Suggest.Suggestion.Entry<? extends Suggest.Suggestion.Entry.Option>> suggestionBuilder = searchResponse.getSuggest().getSuggestion("completionSuggestionBuilder");
// 处理返回
List<String> suggests = suggestionBuilder.getEntries().stream().map(x -> x.getOptions().stream().map(y -> y.getText().toString()).collect(Collectors.toList())).findFirst().get();
// 将搜索补全内容保存到容器返回
for (String suggest : suggests) {
stringList.add(suggest);
System.err.println("suggest = " + suggest);
}
return stringList;
}
}
SuggestBuilders查询文档 (completionSuggestion—搜索建议补全) 测试结果:
- 标题联想必须是被@CompletionField注解所标注的类型为Completion对象的属性。
- 定义对象关键词索引 要完成补全搜索,必须要用到特殊的数据类型completion。
- 建议补全的值都是在存储时保存在completion里的值。
import com.it.mhh.elasticsearch.controller.ElasticsearchSelectController;
import com.it.mhh.elasticsearch.entity.Student;
import com.it.mhh.elasticsearch.entity.Teacher;
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.Operator;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.data.domain.Sort;
import org.springframework.test.context.junit4.SpringRunner;
import java.io.IOException;
import java.util.*;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述:
*/
@SpringBootTest
@RunWith(SpringRunner.class)
public class ElasticsearchSelectControllerTest {
@Autowired
private ElasticsearchSelectController elasticsearchSelectController;//es的查询
/**
* @param name : es里索引的域(字段名)
* @param classType : 返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @param values : 一域多值, 查询的值
* @return java.util.List<T>
* @explain : 聚合对数据进行分组的求和,求数,最大值,最小值,或者其它的自定义的统计功能,
* // es对聚合有着不错的支持,需要注意的是,在对某字段进行聚合之后,需要开启这个字段的fielddata
* // 不要对text类型的数据进行分组,会失败
* @Author Mhh
* @Date 2021/12/22 14:29
*/
@Test
public void aggregationBuilder() {
List<Teacher> teacherList = elasticsearchSelectController.aggregationBuilder(
"tAddress",
Teacher.class,
"山东省");
teacherList.forEach(System.err::println);
}
}
-
8.21 SuggestBuilders查询文档 (termSuggestion—纠错补全)
- SuggestBuilders.termSuggestion(String fieldname).text(String text)…
fieldname : 从fieldName字段中获取候选建议的字段。这是一个必需的选项,需要全局设置或根据建议设置。(Keyword字段)
text: 建议文本,建议文本是必需的选项,可以通过全局(多个建议器中查询相同的内容)或者按照单个建议器的格式来
SuggestBuilders查询文档 (termSuggestion—纠错补全) 测试文章来源:https://www.toymoban.com/news/detail-406798.html
- 纠错补全,输入错误的情况下补全正确的单词
-
8.21.1 Controller层
import com.it.mhh.elasticsearch.service.ElasticsearchSelectService;
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.Operator;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.domain.Sort;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;
import java.io.IOException;
import java.util.List;
import java.util.Map;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述: 查询类
*/
@RestController
@RequestMapping("/elasticSearch/select")
public class ElasticsearchSelectController {
@Autowired
private ElasticsearchSelectService elasticsearchSelectService;
/**
* https://www.cnblogs.com/Alexephor/p/11408446.html(Elasticsearch之建议器suggester)写的很详细
* 词条建议器(term suggester)对用户搜索的内容做纠正帮助用户搜索到精确度高的关键字
*
* @param fieldName : 从fieldName字段中获取候选建议的字段。这是一个必需的选项,需要全局设置或根据建议设置。Keyword字段
* @param text : 建议文本,建议文本是必需的选项,可以通过全局(多个建议器中查询相同的内容)或者按照单个建议器的格式来。
* @param classType : 返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @return java.util.List<java.lang.String>
* @explain : 词条建议器(term suggester)主要做纠正 但是是短语就不能做了(Keyword字段)
* // 用在查询用户中心查询人名上
* // 例如:查询 孟浩号 而在字段中是孟浩浩 则就建议返回了 孟浩浩
* @Author Mhh
* @Date 2021/12/23 15:40
*/
@PostMapping("termSuggestion")
public List<String> termSuggestion(String fieldName, String text, Class<?> classType) {
return elasticsearchSelectService.termSuggestion(fieldName, text, classType);
}
}
8.21.2 service层
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.Operator;
import org.springframework.data.domain.Sort;
import java.io.IOException;
import java.util.List;
import java.util.Map;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述: 查询
*/
public interface ElasticsearchSelectService {
/**
* https://www.cnblogs.com/Alexephor/p/11408446.html(Elasticsearch之建议器suggester)写的很详细
* 词条建议器(term suggester)对用户搜索的内容做纠正帮助用户搜索到精确度高的关键字
*
* @param fieldName : 从fieldName字段中获取候选建议的字段。这是一个必需的选项,需要全局设置或根据建议设置。Keyword字段
* @param text : 建议文本,建议文本是必需的选项,可以通过全局(多个建议器中查询相同的内容)或者按照单个建议器的格式来。
* @param classType : 返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @return java.util.List<java.lang.String>
* @explain : 词条建议器(term suggester)主要做纠正 但是是短语就不能做了(Keyword字段)
* // 用在查询用户中心查询人名上
* // 例如:查询 孟浩号 而在字段中是孟浩浩 则就建议返回了 孟浩浩
* @Author Mhh
* @Date 2021/12/23 15:40
*/
public List<String> termSuggestion(String fieldName, String text, Class<?> classType);
}
8.21.3 serviceimpl层
import com.it.mhh.elasticsearch.service.ElasticsearchSelectService;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.client.indices.AnalyzeRequest;
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.*;
import org.elasticsearch.search.aggregations.Aggregation;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.aggregations.bucket.terms.Terms;
import org.elasticsearch.search.aggregations.bucket.terms.TermsAggregationBuilder;
import org.elasticsearch.search.aggregations.metrics.*;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.search.suggest.*;
import org.elasticsearch.search.suggest.completion.CompletionSuggestionBuilder;
import org.elasticsearch.search.suggest.phrase.PhraseSuggestionBuilder;
import org.elasticsearch.search.suggest.term.TermSuggestionBuilder;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.domain.PageRequest;
import org.springframework.data.domain.Sort;
import org.springframework.data.elasticsearch.annotations.Document;
import org.springframework.data.elasticsearch.core.ElasticsearchRestTemplate;
import org.springframework.data.elasticsearch.core.SearchHit;
import org.springframework.data.elasticsearch.core.SearchHits;
import org.springframework.data.elasticsearch.core.aggregation.AggregatedPage;
import org.springframework.data.elasticsearch.core.mapping.IndexCoordinates;
import org.springframework.data.elasticsearch.core.query.NativeSearchQuery;
import org.springframework.data.elasticsearch.core.query.NativeSearchQueryBuilder;
import org.springframework.stereotype.Service;
import java.io.IOException;
import java.lang.reflect.Field;
import java.util.*;
import java.util.stream.Collectors;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述:
*/
@Service
public class ElasticsearchSelectServiceImp implements ElasticsearchSelectService {
@Autowired
private ElasticsearchRestTemplate elasticsearchRestTemplate;
/**
* https://www.cnblogs.com/Alexephor/p/11408446.html(Elasticsearch之建议器suggester)写的很详细
* 词条建议器(term suggester)对用户搜索的内容做纠正帮助用户搜索到精确度高的关键字
*
* @param fieldName : 从fieldName字段中获取候选建议的字段。这是一个必需的选项,需要全局设置或根据建议设置。Keyword字段
* @param text : 建议文本,建议文本是必需的选项,可以通过全局(多个建议器中查询相同的内容)或者按照单个建议器的格式来。
* @param classType : 返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @return java.util.List<java.lang.String>
* @explain : 词条建议器(term suggester)主要做纠正 但是是短语就不能做了(Keyword字段)
* // 用在查询用户中心查询人名上
* // 例如:查询 孟浩号 而在字段中是孟浩浩 则就建议返回了 孟浩浩
* @Author Mhh
* @Date 2021/12/23 15:40
*/
public List<String> termSuggestion(String fieldName, String text, Class<?> classType) {
//定义反参容器
List<String> stringList = new ArrayList<>();
// 构建纠正词条对象 词条建议器(只要是词,短的 比如姓名)
TermSuggestionBuilder termSuggestionBuilder = SuggestBuilders.termSuggestion(fieldName).text(text);
/* termSuggestionBuilder.suggestMode(TermSuggestionBuilder.SuggestMode.ALWAYS);/*建议模式(控制提供建议词的方式):
1. missing:默认方式,仅在‘要搜索词项’不在索引中存在时,才提供建议词;
2. popular:仅提供频率比‘要搜索词项’高的建议词;
3. always:总是提供建议词;*/
termSuggestionBuilder.sort(SortBy.SCORE); /*建议词的排序方式:
1. score:先按评分排序,再按文档频率、term顺序排;
2. frequency:先按文档频率排序,再按评分、term顺序排*/
//创建搜索提示对象 进行封装词条纠正
SuggestBuilder suggestBuilder = new SuggestBuilder();
// termSuggestionBuilder:随便起的搜索补全的名字(后面会用到)
suggestBuilder.addSuggestion("termSuggestionBuilder", termSuggestionBuilder);
//查询,获取查询结果
SearchResponse searchResponse = elasticsearchRestTemplate.suggest(suggestBuilder, IndexCoordinates.of(classType.getAnnotation(Document.class).indexName()));
//获取反参中的词条纠正结果
Suggest.Suggestion<? extends Suggest.Suggestion.Entry<? extends Suggest.Suggestion.Entry.Option>> suggestionBuilder = searchResponse.getSuggest().getSuggestion("termSuggestionBuilder");
// 处理返回
List<String> suggests = suggestionBuilder.getEntries().stream().map(x -> x.getOptions().stream().map(y -> y.getText().toString()).collect(Collectors.toList())).findFirst().get();
// 将词条纠正内容保存到容器返回
for (String suggest : suggests) {
stringList.add(suggest);
System.err.println("suggest = " + suggest);
}
return stringList;
}
}
SuggestBuilders查询文档 (termSuggestion—纠错补全) 测试结果:
- 对用户搜索的内容做纠正帮助用户搜索到精确度高的关键字
import com.it.mhh.elasticsearch.controller.ElasticsearchSelectController;
import com.it.mhh.elasticsearch.entity.Student;
import com.it.mhh.elasticsearch.entity.Teacher;
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.Operator;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.data.domain.Sort;
import org.springframework.test.context.junit4.SpringRunner;
import java.io.IOException;
import java.util.*;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述:
*/
@SpringBootTest
@RunWith(SpringRunner.class)
public class ElasticsearchSelectControllerTest {
@Autowired
private ElasticsearchSelectController elasticsearchSelectController;//es的查询
/**
* https://www.cnblogs.com/Alexephor/p/11408446.html(Elasticsearch之建议器suggester)写的很详细
* 词条建议器(term suggester)对用户搜索的内容做纠正帮助用户搜索到精确度高的关键字
*
* @param fieldName : 从fieldName字段中获取候选建议的字段。这是一个必需的选项,需要全局设置或根据建议设置。Keyword字段
* @param text : 建议文本,建议文本是必需的选项,可以通过全局(多个建议器中查询相同的内容)或者按照单个建议器的格式来。
* @param classType : 返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @return java.util.List<java.lang.String>
* @explain : 词条建议器(term suggester)主要做纠正 但是是短语就不能做了(Keyword字段)
* // 用在查询用户中心查询人名上
* // 例如:查询 孟浩号 而在字段中是孟浩浩 则就建议返回了 孟浩浩
* @Author Mhh
* @Date 2021/12/23 15:40
*/
@Test
public void termSuggestion() {
List<String> stringList = elasticsearchSelectController.termSuggestion(
"tName",
"小黄教授",
Teacher.class);
stringList.forEach(System.err::println);
}
}
-
8.22 SuggestBuilders查询文档 (phraseSuggestion—纠错补全)
- SuggestBuilders.phraseSuggestion(String fieldname).text(String text)…
fieldname : 从fieldName字段中获取候选建议的字段。这是一个必需的选项,需要全局设置或根据建议设置。(Keyword字段)
text: 建议文本,建议文本是必需的选项,可以通过全局(多个建议器中查询相同的内容)或者按照单个建议器的格式来
SuggestBuilders查询文档 (termSuggestion—纠错补全) 测试文章来源地址https://www.toymoban.com/news/detail-406798.html
实在是研究不出它与termSuggestione 有啥区别(后期再补充它)
- 自动纠错补全短语,输入一个单词纠错补全整个短语
-
8.22.1 Controller层
import com.it.mhh.elasticsearch.service.ElasticsearchSelectService;
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.Operator;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.domain.Sort;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;
import java.io.IOException;
import java.util.List;
import java.util.Map;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述: 查询类
*/
@RestController
@RequestMapping("/elasticSearch/select")
public class ElasticsearchSelectController {
@Autowired
private ElasticsearchSelectService elasticsearchSelectService;
/**
* https://www.cnblogs.com/Alexephor/p/11408446.html(Elasticsearch之建议器suggester)写的很详细
* 词组建议器(phraseSuggestion)
*
* @param fieldName : 从fieldName字段中获取候选建议的字段。这是一个必需的选项,需要全局设置或根据建议设置。Keyword字段
* @param text : 建议文本,建议文本是必需的选项,可以通过全局(多个建议器中查询相同的内容)或者按照单个建议器的格式来。
* @param classType : 返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @return java.util.List<java.lang.String>
* @explain : 词组建议器(phraseSuggestion)适合较长的字段,但是也不是万能的 做纠正(Keyword字段)
* @Author Mhh
* @Date 2021/12/23 15:40
*/
@PostMapping("phraseSuggestion")
public List<String> phraseSuggestion(String fieldName, String text, Class<?> classType) {
return elasticsearchSelectService.phraseSuggestion(fieldName, text, classType);
}
}
8.22.2 service层
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.Operator;
import org.springframework.data.domain.Sort;
import java.io.IOException;
import java.util.List;
import java.util.Map;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述: 查询
*/
public interface ElasticsearchSelectService {
/**
* https://www.cnblogs.com/Alexephor/p/11408446.html(Elasticsearch之建议器suggester)写的很详细
* 词组建议器(phraseSuggestion)
*
* @param fieldName : 从fieldName字段中获取候选建议的字段。这是一个必需的选项,需要全局设置或根据建议设置。Keyword字段
* @param text : 建议文本,建议文本是必需的选项,可以通过全局(多个建议器中查询相同的内容)或者按照单个建议器的格式来。
* @param classType : 返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @return java.util.List<java.lang.String>
* @explain : 词组建议器(phraseSuggestion)适合较长的字段,但是也不是万能的 做纠正(Keyword字段)
* @Author Mhh
* @Date 2021/12/23 15:40
*/
public List<String> phraseSuggestion(String fieldName, String text, Class<?> classType);
}
8.22.3 serviceimpl层
import com.it.mhh.elasticsearch.service.ElasticsearchSelectService;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.client.indices.AnalyzeRequest;
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.*;
import org.elasticsearch.search.aggregations.Aggregation;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.aggregations.bucket.terms.Terms;
import org.elasticsearch.search.aggregations.bucket.terms.TermsAggregationBuilder;
import org.elasticsearch.search.aggregations.metrics.*;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.search.suggest.*;
import org.elasticsearch.search.suggest.completion.CompletionSuggestionBuilder;
import org.elasticsearch.search.suggest.phrase.PhraseSuggestionBuilder;
import org.elasticsearch.search.suggest.term.TermSuggestionBuilder;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.domain.PageRequest;
import org.springframework.data.domain.Sort;
import org.springframework.data.elasticsearch.annotations.Document;
import org.springframework.data.elasticsearch.core.ElasticsearchRestTemplate;
import org.springframework.data.elasticsearch.core.SearchHit;
import org.springframework.data.elasticsearch.core.SearchHits;
import org.springframework.data.elasticsearch.core.aggregation.AggregatedPage;
import org.springframework.data.elasticsearch.core.mapping.IndexCoordinates;
import org.springframework.data.elasticsearch.core.query.NativeSearchQuery;
import org.springframework.data.elasticsearch.core.query.NativeSearchQueryBuilder;
import org.springframework.stereotype.Service;
import java.io.IOException;
import java.lang.reflect.Field;
import java.util.*;
import java.util.stream.Collectors;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述:
*/
@Service
public class ElasticsearchSelectServiceImp implements ElasticsearchSelectService {
@Autowired
private ElasticsearchRestTemplate elasticsearchRestTemplate;
/**
* https://www.cnblogs.com/Alexephor/p/11408446.html(Elasticsearch之建议器suggester)写的很详细
* 词组建议器(phraseSuggestion)
*
* @param fieldName : 从fieldName字段中获取候选建议的字段。这是一个必需的选项,需要全局设置或根据建议设置。Keyword字段
* @param text : 建议文本,建议文本是必需的选项,可以通过全局(多个建议器中查询相同的内容)或者按照单个建议器的格式来。
* @param classType : 返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @return java.util.List<java.lang.String>
* @explain : 词组建议器(phraseSuggestion)适合较长的字段,但是也不是万能的 做纠正(Keyword字段)
* @Author Mhh
* @Date 2021/12/23 15:40
*/
public List<String> phraseSuggestion(String fieldName, String text, Class<?> classType) {
//定义反参容器
List<String> stringList = new ArrayList<>();
// 构建纠正词组对象
PhraseSuggestionBuilder phraseSuggestionBuilder = SuggestBuilders.phraseSuggestion(fieldName).text(text);
//创建搜索提示对象 进行封装词条纠正
SuggestBuilder suggestBuilder = new SuggestBuilder();
// phraseSuggestionBuilder:随便起的搜索补全的名字(后面会用到)
suggestBuilder.addSuggestion("phraseSuggestion", phraseSuggestionBuilder);
//查询,获取查询结果
SearchResponse searchResponse = elasticsearchRestTemplate.suggest(suggestBuilder, IndexCoordinates.of(classType.getAnnotation(Document.class).indexName()));
//获取反参中的词条纠正结果
Suggest.Suggestion<? extends Suggest.Suggestion.Entry<? extends Suggest.Suggestion.Entry.Option>> suggestionBuilder = searchResponse.getSuggest().getSuggestion("phraseSuggestion");
// 处理 返回
List<String> suggests = suggestionBuilder.getEntries().stream().map(x -> x.getOptions().stream().map(y -> y.getText().toString()).collect(Collectors.toList())).findFirst().get();
// 将词条纠正内容保存到容器返回
for (String suggest : suggests) {
stringList.add(suggest);
System.err.println("suggest = " + suggest);
}
return stringList;
}
}
SuggestBuilders查询文档 (termSuggestion—纠错补全) 测试结果:
- 适合较长的字段,但是也不是万能的 做纠正
import com.it.mhh.elasticsearch.controller.ElasticsearchSelectController;
import com.it.mhh.elasticsearch.entity.Student;
import com.it.mhh.elasticsearch.entity.Teacher;
import org.elasticsearch.client.indices.AnalyzeResponse;
import org.elasticsearch.index.query.Operator;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.data.domain.Sort;
import org.springframework.test.context.junit4.SpringRunner;
import java.io.IOException;
import java.util.*;
/**
* @创建人: Mhh
* @创建时间: 2021/12/10
* @描述:
*/
@SpringBootTest
@RunWith(SpringRunner.class)
public class ElasticsearchSelectControllerTest {
@Autowired
private ElasticsearchSelectController elasticsearchSelectController;//es的查询
/**
* https://www.cnblogs.com/Alexephor/p/11408446.html(Elasticsearch之建议器suggester)写的很详细
* 词组建议器(phraseSuggestion)
*
* @param fieldName : 从fieldName字段中获取候选建议的字段。这是一个必需的选项,需要全局设置或根据建议设置。Keyword字段
* @param text : 建议文本,建议文本是必需的选项,可以通过全局(多个建议器中查询相同的内容)或者按照单个建议器的格式来。
* @param classType : 返回的list里的对象并且通过对象里面@Document注解indexName属性获取查询哪个索引
* @return java.util.List<java.lang.String>
* @explain : 词组建议器(phraseSuggestion)适合较长的字段,但是也不是万能的 做纠正(Keyword字段)
* @Author Mhh
* @Date 2021/12/23 15:40
*/
@Test
public void phraseSuggestion() {
List<String> stringList = elasticsearchSelectController.phraseSuggestion(
"tFamous",
"吾之初心永世不完",
Teacher.class);
stringList.forEach(System.err::println);
}
}
链接:windows版本 Elasticsearch服务端-7.4.0以及kibana-7.4.0和ik分词器下载地址
链接:SpringBoot之ElasticsearchRestTemplate常用示例 源代码下载地址
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