springboot集成ES

  • 1.引入pom依赖
  • 2.application 配置
  • 3.JavaBean配置以及ES相关注解
    • 3.1 Student实体类
    • 3.2 Teacher实体类
    • 3.3 Headmaster 实体类
  • 4. 启动类配置
  • 5.elasticsearchRestTemplate 新增
    • ==5.1 createIndex && putMapping 创建索引及映射==
      • 5.1.1 Controller层
      • 5.1.2 service层
      • 5.1.3 serviceimpl层
      • createIndex && putMapping 创建索引及映射测试结果:
    • ==5.2 save 添加文档==
      • 5.2.1 Controller层
      • 5.2.2 service层
      • 5.2.3 serviceimpl层
      • save 添加文档测试结果:
  • 6.elasticsearchRestTemplate 删除
    • ==6.1 deleteIndex 删除索引==
      • 6.1.1 Controller层
      • 6.1.2 service层
      • 6.1.3 serviceimpl层
      • deleteIndex 删除索引测试结果:
    • ==6.2 delete 删除文档(通过主键删除)==
      • 6.2.1 Controller层
      • 6.2.2 service层
      • 6.2.3 serviceimpl层
      • delete(通过主键删除) 删除文档测试结果:
    • ==6.3 delete 删除文档(删除通过query所搜索到的所有数据)==
      • 6.3.1 Controller层
      • 6.3.2 service层
      • 6.3.3 serviceimpl层
      • delete(删除通过query所搜索到的所有数据) 删除文档测试结果:
  • 7.elasticsearchRestTemplate 修改
    • ==7.1 update 修改文档(根据主键修改)==
      • 7.1.1 Controller层
      • 7.1.2 service层
      • 7.1.3 serviceimpl层
      • update 修改文档(根据主键修改)测试结果:
  • 8.elasticsearchRestTemplate 查询
    • ==8.1 get 查询文档(根据主键查询)==
      • 8.1.1 Controller层
      • 8.1.2 service层
      • 8.1.3 serviceimpl层
      • get 查询文档(根据主键查询)测试结果:
    • ==8.2 exists 查询文档(判断主键id是否存在)==
      • 8.2.1 Controller层
      • 8.2.2 service层
      • 8.2.3 serviceimpl层
      • exists 查询文档(判断主键id是否存在)测试结果:
    • ==8.3 queryForPage 查询文档(分页查询)==
      • 8.3.1 Controller层
      • 8.3.2 service层
      • 8.3.3 serviceimpl层
      • queryForPage 查询文档(分页查询)测试结果:
    • ==8.4 AnalyzeRequest (根据入参内容返回分词后结果)==
      • 8.4.1 Controller层
      • 8.4.2 service层
      • 8.4.3 serviceimpl层
      • AnalyzeRequest (根据入参内容返回分词后结果)测试结果:
    • ==8.5 termQuery 查询文档(入参不分词,精确匹配)==
      • 8.5.1 Controller层
      • 8.5.2 service层
      • 8.5.3 serviceimpl层
      • termQuery 查询文档(入参不分词,精确匹配)测试结果:
    • ==8.6 match 查询文档(会对查询条件进行分词)==
      • 8.6.1 Controller层
      • 8.6.2 service层
      • 8.6.3 serviceimpl层
      • match 查询文档(会对查询条件进行分词)测试结果:
    • ==8.7 matchAllQuery 查询文档(查询此索引下所有文档)==
      • 8.7.1 Controller层
      • 8.7.2 service层
      • 8.7.3 serviceimpl层
      • matchAllQuery 查询文档(查询此索引下所有文档)测试结果:
    • ==8.8 wildcardQuery 查询文档(模糊查询)==
      • 8.8.1 Controller层
      • 8.8.2 service层
      • 8.8.3 serviceimpl层
      • wildcardQuery 查询文档(模糊查询)测试结果:
    • ==8.9 prefixQuery 查询文档(前缀查询)==
      • 8.9.1 Controller层
      • 8.9.2 service层
      • 8.9.3 serviceimpl层
      • prefixQuery 查询文档(前缀查询)测试结果:
    • ==8.10 regexpQuery 查询文档(正则表达式查询)==
      • 8.10.1 Controller层
      • 8.10.2 service层
      • 8.10.3 serviceimpl层
      • regexpQuery 查询文档(正则表达式查询) 测试结果:
    • ==8.11 rangeQuery 查询文档(范围查询)==
      • 8.11.1 Controller层
      • 8.11.2 service层
      • 8.11.3 serviceimpl层
      • rangeQuery 查询文档(范围查询) 测试结果:
    • ==8.12 Sort 查询文档 (排序)==
      • 8.12.1 Controller层
      • 8.12.2 service层
      • 8.12.3 serviceimpl层
      • Sort 查询文档 (排序) 测试结果:
    • ==8.13 queryStringQuery 查询文档 (多条件查询 一值多域)==
      • 8.13.1 Controller层
      • 8.13.2 service层
      • 8.13.3 serviceimpl层
      • queryStringQuery 查询文档 (多条件查询 一值多域) 测试结果:
    • ==8.14 boolQuery 查询文档 (对多个查询条件连接。连接方式:must)==
      • 8.14.1 Controller层
      • 8.14.2 service层
      • 8.14.3 serviceimpl层
      • boolQuery 查询文档 (对多个查询条件连接。连接方式:must) 测试结果:
    • ==8.15 boolQuery 查询文档 (对多个查询条件连接。连接方式:filter)==
      • 8.15.1 Controller层
      • 8.15.2 service层
      • 8.15.3 serviceimpl层
      • boolQuery 查询文档 (对多个查询条件连接。连接方式:filter) 测试结果:
    • ==8.16 boolQuery 查询文档 (对多个查询条件连接。连接方式:must_not)==
      • 8.16.1 Controller层
      • 8.16.2 service层
      • 8.16.3 serviceimpl层
      • boolQuery 查询文档 (对多个查询条件连接。连接方式:must_not) 测试结果:
    • ==8.17 boolQuery 查询文档 (对多个查询条件连接。连接方式:should)==
      • 8.17.1 Controller层
      • 8.17.2 service层
      • 8.17.3 serviceimpl层
      • boolQuery 查询文档 (对多个查询条件连接。连接方式:should) 测试结果:
    • ==8.18 HighlightBuilder 查询文档 (高亮)==
      • 8.18.1 Controller层
      • 8.18.2 service层
      • 8.18.3 serviceimpl层
      • HighlightBuilder 查询文档 (高亮) 测试结果:
    • ==8.19 AggregationBuilders 查询文档 (聚合查询)==
      • 8.19.1 Controller层
      • 8.19.2 service层
      • 8.19.3 serviceimpl层
      • AggregationBuilders 查询文档 (聚合查询) 测试结果:
    • ==8.20 SuggestBuilders查询文档 (completionSuggestion---搜索建议补全)==
      • 8.20.1 Controller层
      • 8.20.2 service层
      • 8.20.3 serviceimpl层
      • SuggestBuilders查询文档 (completionSuggestion---搜索建议补全) 测试结果:
    • ==8.21 SuggestBuilders查询文档 (termSuggestion---纠错补全)==
      • 8.21.1 Controller层
      • 8.21.2 service层
      • 8.21.3 serviceimpl层
      • SuggestBuilders查询文档 (termSuggestion---纠错补全) 测试结果:
    • ==~~8.22 SuggestBuilders查询文档 (phraseSuggestion---纠错补全)~~==
      • ~~8.22.1 Controller层~~
      • ~~8.22.2 service层~~
      • ~~8.22.3 serviceimpl层~~
      • ~~SuggestBuilders查询文档 (termSuggestion---纠错补全) 测试结果:~~
      • 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](https://mp.csdn.net/mp_download/manage/download/UpDetailed)
      • 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: format | Elasticsearch Guide [8.9] | Elastic.
        • 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 {@Autowiredprivate 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 {@Autowiredprivate 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*/@Overridepublic 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
          在这里插入图片描述
          在这里插入图片描述
        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 {@Autowiredprivate 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*/@Testpublic 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 {@Autowiredprivate 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 {@Autowiredprivate 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*/@Overridepublic <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*/@Overridepublic <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
          在这里插入图片描述
          在这里插入图片描述
        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 {@Autowiredprivate 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*/@Testpublic 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*/@Testpublic 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*/@Testpublic 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 {@Autowiredprivate 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 {@Autowiredprivate 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
          在这里插入图片描述在这里插入图片描述
        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 {@Autowiredprivate 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*/@Testpublic 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 {@Autowiredprivate 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 {@Autowiredprivate 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*/@Overridepublic 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*/@Overridepublic 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
          在这里插入图片描述
        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 {@Autowiredprivate 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*/@Testpublic 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 {@Autowiredprivate 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 {@Autowiredprivate 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
          在这里插入图片描述
          在这里插入图片描述
        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 {@Autowiredprivate 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*/@Testpublic 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 {@Autowiredprivate 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 {@Autowiredprivate 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*/@Overridepublic 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)
          在这里插入图片描述在这里插入图片描述
        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 {@Autowiredprivate ElasticsearchSelectController elasticsearchSelectController;@Autowiredprivate 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)]* */@Testpublic 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);//trueteacher = 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 {@Autowiredprivate 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 {@Autowiredprivate 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*/@Overridepublic <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

        在这里插入图片描述
        Teacher
        在这里插入图片描述

        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 {@Autowiredprivate ElasticsearchSelectController elasticsearchSelectController;//es的查询@Testpublic 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 {@Autowiredprivate 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 {@Autowiredprivate 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*/@Overridepublic 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)
          在这里插入图片描述
          Teacher
        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 {@Autowiredprivate 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*/@Testpublic 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 {@Autowiredprivate 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 {@Autowiredprivate 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
          在这里插入图片描述

        Teacher

        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 {@Autowiredprivate 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*/@Testpublic 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 {@Autowiredprivate 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 {@Autowiredprivate 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
          在这里插入图片描述
        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 {@Autowiredprivate 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*/@Testpublic 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 {@Autowiredprivate 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 {@Autowiredprivate 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 、numericdate
          在这里插入图片描述
          在这里插入图片描述
        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 {@Autowiredprivate 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*/@Testpublic 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 {@Autowiredprivate 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 {@Autowiredprivate 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)

        在这里插入图片描述
        在这里插入图片描述

        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 {@Autowiredprivate 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*/@Testpublic 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 {@Autowiredprivate 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 {@Autowiredprivate 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

        在这里插入图片描述

        在这里插入图片描述

        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 {@Autowiredprivate 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*/@Testpublic 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 {@Autowiredprivate 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 {@Autowiredprivate 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""?华" 会引发全表(全索引)扫描 注意效率问题
          在这里插入图片描述
          在这里插入图片描述
        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 {@Autowiredprivate 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*/@Testpublic 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 {@Autowiredprivate 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 {@Autowiredprivate 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
          在这里插入图片描述
          在这里插入图片描述
        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 {@Autowiredprivate 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*/@Testpublic 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: 正则表达式 – 语法 | 菜鸟教程.
      • 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 {@Autowiredprivate 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 {@Autowiredprivate 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
          在这里插入图片描述
          在这里插入图片描述
        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 {@Autowiredprivate 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*/@Testpublic 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 {@Autowiredprivate 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 {@Autowiredprivate 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
          在这里插入图片描述
          在这里插入图片描述
        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 {@Autowiredprivate 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*/@Testpublic 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 {@Autowiredprivate 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 {@Autowiredprivate 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。
          在这里插入图片描述
          在这里插入图片描述
        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 {@Autowiredprivate 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*/@Testpublic 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 {@Autowiredprivate 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 {@Autowiredprivate 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)
          在这里插入图片描述
          在这里插入图片描述
        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 {@Autowiredprivate 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*/@Testpublic 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 {@Autowiredprivate 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 {@Autowiredprivate 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)
          在这里插入图片描述
          在这里插入图片描述
        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 {@Autowiredprivate 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*/@Testpublic 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 {@Autowiredprivate 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 {@Autowiredprivate 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
          在这里插入图片描述
          在这里插入图片描述
        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 {@Autowiredprivate 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*/@Testpublic 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 {@Autowiredprivate 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 {@Autowiredprivate 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
          在这里插入图片描述
          在这里插入图片描述
        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 {@Autowiredprivate 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*/@Testpublic 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 {@Autowiredprivate 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 {@Autowiredprivate 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
          在这里插入图片描述
          在这里插入图片描述
        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 {@Autowiredprivate 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*/@Testpublic 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 {@Autowiredprivate 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 {@Autowiredprivate 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);
          在这里插入图片描述
          在这里插入图片描述
        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 {@Autowiredprivate 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*/@Testpublic 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 {@Autowiredprivate 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 {@Autowiredprivate 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。
          在这里插入图片描述
          在这里插入图片描述
        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 {@Autowiredprivate 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*/@Testpublic 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 {@Autowiredprivate 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 {@Autowiredprivate 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。
          在这里插入图片描述
          在这里插入图片描述
        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 {@Autowiredprivate 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*/@Testpublic 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

        • 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 {@Autowiredprivate 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 {@Autowiredprivate 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
          在这里插入图片描述
          在这里插入图片描述
        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 {@Autowiredprivate 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*/@Testpublic 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

        • 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 {@Autowiredprivate 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 {@Autowiredprivate 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
          在这里插入图片描述
          在这里插入图片描述
        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 {@Autowiredprivate 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*/@Testpublic void phraseSuggestion() {List<String> stringList = elasticsearchSelectController.phraseSuggestion("tFamous","吾之初心永世不完",Teacher.class);stringList.forEach(System.err::println);}}

本文来自互联网用户投稿,该文观点仅代表作者本人,不代表本站立场。本站仅提供信息存储空间服务,不拥有所有权,不承担相关法律责任。如若转载,请注明出处:http://www.mzph.cn/news/43239.shtml

如若内容造成侵权/违法违规/事实不符,请联系多彩编程网进行投诉反馈email:809451989@qq.com,一经查实,立即删除!

相关文章

leetcode做题笔记85最大矩形

给定一个仅包含 0 和 1 、大小为 rows x cols 的二维二进制矩阵&#xff0c;找出只包含 1 的最大矩形&#xff0c;并返回其面积。 示例 1&#xff1a; 思路一&#xff1a;单调栈 int maximalRectangle(char** matrix, int matrixSize, int* matrixColSize){int dp[matrixSize…

使用MAT分析OOM问题

OOM和内存泄漏在我们的工作中&#xff0c;算是相对比较容易出现的问题&#xff0c;一旦出现了这个问题&#xff0c;我们就需要对堆进行分析。 一般情况下&#xff0c;我们生产应用都会设置这样的JVM参数&#xff0c;以便在出现OOM时&#xff0c;可以dump出堆内存文件&#xff…

基于libevent的tcp服务器

libevent使用教程_evutil_make_socket_nonblocking_易方达蓝筹的博客-CSDN博客 一、准备 centos7下安装libevent库 yum install libevent yum install -y libevent-devel 二、代码 server.cpp /** You need libevent2 to compile this piece of code Please see: http://li…

专访 BlockPI:共建账户抽象未来的新一代 RPC 基础设施

在传统 RPC 服务板块上&#xff0c;开发者一直饱受故障风险、运行环境混乱等难题的折磨。实现 RPC 服务的去中心化&#xff0c;且保持成本优势和可扩展性&#xff0c;始终是区块链基础设施建设的重要命题之一。从 2018 年观察中心化 RPC 供应商服务现状开始&#xff0c;BlockPI…

财务数据分析之现金流量表模板分享

现金流量表是我们常说的财务数据分析三表之一。它可以呈现一个企业的现金流情况&#xff0c;揭示企业经营管理健康状态&#xff0c;但在实际使用中却有总给人一种用不上、用不好的矛盾感。怎么才能把现金流量表做好&#xff1f;不如借鉴下大神的现金流量表模板。 下面介绍的是…

【Java 动态数据统计图】动态数据统计思路案例(动态,排序,数组)四(116)

需求&#xff1a;&#xff1a;前端根据后端的返回数据&#xff1a;画统计图&#xff1b; 1.动态获取地域数据以及数据中的平均值&#xff0c;按照平均值降序排序&#xff1b; 说明&#xff1a; X轴是动态的&#xff0c;有对应区域数据则展示&#xff1b; X轴 区域数据降序排序…

LabVIEW调用DLL传递结构体参数

LabVIEW 中调用动态库接口时&#xff0c;如果是值传递的结构体&#xff0c;可以根据字段拆解为多个参数&#xff1b;如果参数为结构体指针&#xff0c;可用簇&#xff08;Cluster&#xff09;来匹配&#xff0c;其内存连续相当于单字节对齐。 1.值传递 接口定义&#xff1a; …

【FAQ】调用视频汇聚平台EasyCVR的iframe地址,视频无法播放的原因排查

有用户反馈&#xff0c;在调用iframe地址后嵌入用户自己的前端页面&#xff0c;视频无法播放并且要求登录。 安防监控视频汇聚平台EasyCVR基于云边端一体化架构&#xff0c;具有强大的数据接入、处理及分发能力&#xff0c;可提供视频监控直播、云端录像、视频云存储、视频集中…

视频集中存储EasyCVR视频汇聚平台定制项目增加AI智能算法

安防视频集中存储EasyCVR视频汇聚平台&#xff0c;可支持海量视频的轻量化接入与汇聚管理。平台能提供视频存储磁盘阵列、视频监控直播、视频轮播、视频录像、云存储、回放与检索、智能告警、服务器集群、语音对讲、云台控制、电子地图、平台级联、H.265自动转码等功能。为了便…

【Unity每日一记】Physics.Raycast 相关_Unity中的“X光射线”

&#x1f468;‍&#x1f4bb;个人主页&#xff1a;元宇宙-秩沅 &#x1f468;‍&#x1f4bb; hallo 欢迎 点赞&#x1f44d; 收藏⭐ 留言&#x1f4dd; 加关注✅! &#x1f468;‍&#x1f4bb; 本文由 秩沅 原创 &#x1f468;‍&#x1f4bb; 收录于专栏&#xff1a;uni…

05_bitmaphyperloglogGEO

Bitmap&hyperloglog&GEO 面试问 记录对集合中的数据进行统计在移动应用中&#xff0c;需要统计每天的新增用户数和第2天的留存用户数&#xff1b;在电商网站的商品评论中&#xff0c;需要统计评论列表中的最新评论&#xff1a;在签到打卡中&#xff0c;需要统计一个月内…

Python “贪吃蛇”游戏,在不断改进中学习pygame编程

目录 前言 改进过程一 增加提示信息 原版帮助摘要 pygame.draw pygame.font class Rect class Surface 改进过程二 增加显示得分 改进过程三 增加背景景乐 增加提示音效 音乐切换 静音切换 mixer.music.play 注意事项 原版帮助摘要 pygame.mixer pygame.mix…

HTML详解连载(7)

HTML详解连载&#xff08;7&#xff09; 专栏链接 [link](http://t.csdn.cn/xF0H3)下面进行专栏介绍 开始喽结构伪类选择器作用 :nth-child&#xff08;公式&#xff09;作用举例 伪元素选择器作用注意&#xff1a; PxCoook作用盒子模型-重要组成部分 盒子模型-边框线属性名属性…

excel中定位条件,excel中有哪些数据类型、excel常见错误值、查找与替换

一、如何定位条件 操作步骤&#xff1a;开始 - 查找和选择 - 定位条件&#xff08;ctrl G 或 F5&#xff09; 注&#xff1a;如果F5不可用&#xff0c;可能是这个快捷键被占用了 案例&#xff1a;使用定位条件选择取余中空单元格&#xff0c;填入100&#xff0c;按组合键ct…

【LeetCode75】第三十三题 二叉树的最大深度

目录 题目&#xff1a; 示例&#xff1a; 分析&#xff1a; 代码&#xff1a; 题目&#xff1a; 示例&#xff1a; 分析&#xff1a; 从这一题开始&#xff0c;LeetCode75进入到了二叉树章节。 这边建议不熟悉二叉树的小伙伴可以先去做做力扣的前序遍历&#xff0c;中序遍…

使用git rebase 之后的如何恢复到原始状态

我们常常喜欢使用git rebase去切换分支提交代码,操作流程就是: 先切换分支:比如当前是master 我们修改了一堆代码产生一个commit id :5555555567777 那么我们常常比较懒就直接切换了:git checkout dev 然后呢?使用命令git rebase 5555555567777,想把这笔修改提交到d…

iPhone上的个人热点丢失了怎么办?如何修复iPhone上不见的个人热点?

个人热点功能可将我们的iPhone手机转变为 Wi-Fi 热点&#xff0c;有了Wi-Fi 热点后就可以与附近的其他设备共享其互联网连接。 一般情况下&#xff0c;个人热点打开就可以使用&#xff0c;但也有部分用户在升级系统或越狱后发现 iPhone 的个人热点消失了。 iPhone上的个人热点…

antd5源码调试环境搭建(window系统)

将antd源码克隆至本地 $ git clone gitgithub.com:ant-design/ant-design.git $ cd ant-design $ npm install $ npm start前提安装python3、安装node版本18版本 不然后续安装依赖会报python3相关的错误。 项目需要使用git 初始化 不然会报husky相关的错误 git init重新安…

【论文解读】Hybrid-SORT: Weak Cues Matter for Online Multi-Object Tracking

因为Hybrid-SORT的baseline是基于OCSORT进行改进的&#xff0c;在这之前建议先了解byteTrack和【】的相关知识 1.介绍 1.1 基本框架 多目标跟踪(MOT)将问题分为两个子任务。第一个任务是检测每个帧中的对象。第二个任务是将它们在不同的框架中联系起来。关联任务主要通过显式…

RabbitMq-发布确认高级(避坑指南版)

在初学rabbitMq的时候&#xff0c;伙伴们肯定已经接触到了“发布确认”的概念&#xff0c;但是到了后期学习中&#xff0c;会接触到“springboot”中使用“发布确认”高级的概念。后者主要是解决什么问题呢&#xff1f;或者是什么样的场景引出这样的概念呢&#xff1f; 在生产环…