需要学习基础的可参照这两文章

Elasticsearch 学习+SpringBoot实战教程（一）

Elasticsearch 学习+SpringBoot实战教程（一）_桂亭亭的博客-CSDN博客

Elasticsearch 学习+SpringBoot实战教程（二）  

Elasticsearch 学习+SpringBoot实战教程（二）_桂亭亭的博客-CSDN博客

前言： 经过了前面2课的学习我们已经大致明白了ES怎么使用，包括原生语句，javaapi等等，现在我们要在业务中使用了，

所以我们选择spring-data作为我们的ORM框架，快速开发代码。

同时需要给规范化操作

目录

0 前辈动作

1 Springboot项目引入依赖

2 建立目录与文件

3 配置文件

 4 实体类

1 使用ElasticsearchOperations的方式

新增文档

更新文档 

删除文档

查询所有

查询指定id

分页+指定条件+高亮显示+排序+过滤结果

2 使用RestHighLevelClient的方式

精确查询

分页查询

字符匹配AND精准查询

​编辑字符匹配OR精准查询

模糊查询

0 前置动作

1 Springboot项目引入依赖

注意你的ES版本号

        <dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-data-elasticsearch</artifactId></dependency><!-- https://mvnrepository.com/artifact/com.alibaba/fastjson --><dependency><groupId>com.alibaba</groupId><artifactId>fastjson</artifactId><version>2.0.20</version></dependency><dependency><groupId>org.elasticsearch.client</groupId><artifactId>elasticsearch-rest-high-level-client</artifactId><version>7.10.1</version><exclusions><exclusion><groupId>org.elasticsearch</groupId><artifactId>elasticsearch</artifactId></exclusion></exclusions></dependency><dependency><groupId>org.elasticsearch</groupId><artifactId>elasticsearch</artifactId><version>7.10.1</version></dependency>

2 建立目录与文件

3 配置文件

spring:elasticsearch:uris: localhost:9200connection-timeout: 3000socket-timeout: 5000

 4 实体类

package com.example.eslearn.entity;import org.springframework.data.annotation.Id;
import org.springframework.data.elasticsearch.annotations.Document;
import org.springframework.data.elasticsearch.annotations.Field;
import org.springframework.data.elasticsearch.annotations.FieldType;import java.io.Serializable;/*  Document:  将这个类对象转为 es 中一条文档进行录入* indexName: 用来指定文档的索引名称* createIndex: 用来指定是否创建索引,默认为false*/
@Document(indexName = "user", createIndex = true)
public class UserDocument implements Serializable {@Id // 用来将放入对象id值作为文档_id进行映射private String id;@Field(type = FieldType.Keyword)    // 字段映射类型private String name;private String sex;private Integer age;@Field(type = FieldType.Text)    // 字段映射类型private String city;

1 使用ElasticsearchOperations的方式

优点：更想我们的springdata的使用风格，简单，快捷，个人使用

新增文档

    private final ElasticsearchOperations ESO;// set方法注入@Autowiredpublic CRUDService2(ElasticsearchOperations elasticsearchOperations) {this.ESO = elasticsearchOperations;}// 新增文档public String save() {UserDocument user = new UserDocument();user.setName("说不定看见的");user.setCity("北京 上海 西安");user.setAge(22);user.setSex("男");UserDocument save = ESO.save(user);System.out.println(save);return JSON.toJSONString(save);}

 使用可视化软件查询，得到下面的结果  

更新文档 

    // 更新文档public String update() {UserDocument user = new UserDocument();user.setId("W7w2HYcB32f1ZLmxRwzw");user.setName("说快来打见的");user.setCity("北京 上海 西安");user.setAge(21);user.setSex("女");UserDocument save = ESO.save(user);System.out.println(save);return JSON.toJSONString(save);}

删除文档

    // 删除public String delete(){UserDocument userDocument = new UserDocument();userDocument.setId("8966e506-1763-4d4b-bf1c-4f5d9bd9b052");return ESO.delete(userDocument);}

查询所有

    // 查询所有public String findAll(){//查询所有SearchHits<UserDocument> search = ESO.search(Query.findAll(), UserDocument.class);for (SearchHit<UserDocument> uc : search) {System.out.println(uc.getContent());}return JSON.toJSONString(search);}

查询指定id

    // 根据id查询文档public String getById(){UserDocument userDocument = ESO.get("W7w2HYcB32f1ZLmxRwzw", UserDocument.class);return JSON.toJSONString(userDocument);}

分页+指定条件+高亮显示+排序+过滤结果

服务层

 //大杂烩，一次学会public String findSource(){//查询条件构建MatchQueryBuilder mp=new MatchQueryBuilder("name","妲己");//排序构建FieldSortBuilder f = new FieldSortBuilder("age");//分页构建Pageable page= PageRequest.of(0,5);// 高亮构建HighlightBuilder highlightBuilder = new HighlightBuilder().preTags("<span style='color:yellow'>").postTags("</span>").field("name");//结果过滤构建,相当于返回那些字段FetchSourceFilter filter = new FetchSourceFilter(new String[]{"name", "city"}, null);//查询语句构建NativeSearchQueryBuilder  query = new NativeSearchQueryBuilder().withQuery(mp).withSorts(f).withPageable(page).withHighlightBuilder(highlightBuilder).withSourceFilter(filter);//执行查询SearchHits<UserDocument> search = ESO.search(query.build(), UserDocument.class);return JSON.toJSONString(search);}

控制器

    @GetMapping("/findSource")private String findSource(){return sv.findSource();}

2 使用RestHighLevelClient的方式

优点：安全，企业级常用

精确查询

对应的原生查询语句

注意这里的term就是精准查询到 关键字

GET user/_search
{"query": {"term": {"city": "上海"}}
}

服务层 

    // 文档搜索public String searchDocument(String indexName,String city){//2 构建搜索请求SearchRequest searchRequest = new SearchRequest().indices(indexName);//3 构建搜索内容TermQueryBuilder termQueryBuilder = QueryBuilders.termQuery("city", city);SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();searchSourceBuilder.query(termQueryBuilder);//4 填充搜索内容searchRequest.source(searchSourceBuilder);SearchResponse searchResponse = null;try {//5 执行搜索操作searchResponse = client.search(searchRequest, RequestOptions.DEFAULT);} catch (IOException e) {throw new RuntimeException(e);}//6 返回值return JSON.toJSONString(searchResponse.getHits().getHits());}

控制器

@GetMapping("/searchUserByCity")public String searchUserByCity() throws IOException {return service.searchDocument("user","上海");}

访问链接localhost:8080/searchUserByCity

分页查询

GET user/_search
{"query": {"term": {"city": "上海"}},"from":0,"size":5
}

服务层

  // 文档搜索--分页查询public String searchDocument2(String indexName,String city){//2 构建搜索请求SearchRequest searchRequest = new SearchRequest().indices(indexName);//3 构建搜索内容SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();//拿到前5条数据searchSourceBuilder.query(QueryBuilders.termQuery("city", city)).from(0).size(5);//4 填充搜索内容searchRequest.source(searchSourceBuilder);SearchResponse searchResponse = null;try {//5 执行搜索操作searchResponse = client.search(searchRequest, RequestOptions.DEFAULT);} catch (IOException e) {throw new RuntimeException(e);}//6 返回值return JSON.toJSONString(searchResponse.getHits().getHits());}

控制层 

    @GetMapping("/searchUserByCity2")public String searchUserByCity2() throws IOException {return service.searchDocument2("user","上海");}

访问localhost:8080/searchUserByCity2

字符匹配AND精准查询

term 与matchphrase的比较 term用于精确查找有点像 mysql里面的"=" match是先将查询关键字分词然后再进行查找。term一般用在keywokrd类型的字段上进行精确查找。

注意这里的bool,表示使用布尔查询，其中的must是相当于SQL语句中的and的意思。

所以就是查找name中包含“妲己”并且年龄为22岁的信息，请注意不能写成"妲",因为我们在新建文档的时候是这样新建的“妲己”，那么我们如果匹配“妲”就会匹配不到，加入这样写就可以匹配到了“妲 己”，请注意空格，这是分词的依据之一

ES查询语句。

GET user/_search
{"query": {"bool":{"must": [{"match_phrase": {"name": "妲己"}},{"term": {"age": "32"}}]}},"from":0,"size":10
}

服务层

// 文档分词搜索+精确查询public String searchDocument3(String indexName,String name,Integer age){//2 构建搜索请求SearchRequest searchRequest = new SearchRequest().indices(indexName);SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();//3 构建复杂的查询语句BoolQueryBuilder bq=QueryBuilders.boolQuery()//分词匹配.must(QueryBuilders.matchPhraseQuery("name",name))//精确匹配.must(QueryBuilders.matchQuery("age",age));//4 填充搜索语句searchSourceBuilder.query(bq).from(0).size(5);//4 填充搜索内容searchRequest.source(searchSourceBuilder);SearchResponse searchResponse = null;try {//5 执行搜索操作searchResponse = client.search(searchRequest, RequestOptions.DEFAULT);} catch (IOException e) {throw new RuntimeException(e);}//6 返回值return JSON.toJSONString(searchResponse.getHits());}

控制层

    @GetMapping("/searchUser3")public String searchUser3() throws IOException {return service.searchDocument3("user","妲己",32);}

字符匹配OR精准查询

 原始查询语句

GET user/_search
{"query": {"bool":{"should": [{"match_phrase": {"name": "妲己"}},{"term": {"age": "32"}}]}},"from":0,"size":10
}

服务层

    // 文档分词搜索OR精确查询public String searchDocument4(String indexName,String name,Integer age){//2 构建搜索请求SearchRequest searchRequest = new SearchRequest().indices(indexName);SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();//3 构建复杂的查询语句BoolQueryBuilder bq=QueryBuilders.boolQuery()//分词匹配.should(QueryBuilders.matchPhraseQuery("name",name))//精确匹配.should(QueryBuilders.matchQuery("age",age));//4 填充搜索语句searchSourceBuilder.query(bq).from(0).size(5);//4 填充搜索内容searchRequest.source(searchSourceBuilder);SearchResponse searchResponse = null;try {//5 执行搜索操作searchResponse = client.search(searchRequest, RequestOptions.DEFAULT);} catch (IOException e) {throw new RuntimeException(e);}//6 返回值return JSON.toJSONString(searchResponse.getHits());}

控制层 

    @GetMapping("/searchUser4")public String searchUser4() throws IOException {return service.searchDocument4("user","妲己",22);}

 结果

模糊查询

原始语句

GET user/_search
{"query": {"wildcard": {"city": {"value": "上*"}}}
}

    // 文档模糊查询public String searchDocument5(String indexName,String city){//2 构建搜索请求SearchRequest searchRequest = new SearchRequest().indices(indexName);SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();//3 构建模糊查询的语句WildcardQueryBuilder bq=QueryBuilders.wildcardQuery("city",city);//4 填充搜索语句searchSourceBuilder.query(bq);searchRequest.source(searchSourceBuilder);SearchResponse searchResponse = null;try {//5 执行搜索操作searchResponse = client.search(searchRequest, RequestOptions.DEFAULT);} catch (IOException e) {throw new RuntimeException(e);}//6 返回值return JSON.toJSONString(searchResponse.getHits());}

    @GetMapping("/searchUser5")public String searchUser5() throws IOException {return service.searchDocument5("user","上*");}

结果