【黑马头条之app端文章搜索ES-MongoDB】

本笔记内容为黑马头条项目的app端文章搜索部分

目录

一、今日内容介绍

1、App端搜索-效果图

2、今日内容

二、搭建ElasticSearch环境

1、拉取镜像

2、创建容器

3、配置中文分词器 ik

4、使用postman测试

三、app端文章搜索

1、需求分析

2、思路分析

3、创建索引和映射

4、数据初始化到索引库

5、文章搜索功能实现

6、文章自动审核构建索引

四、app端搜索-搜索记录

1、需求分析

2、数据存储说明

3、MongoDB安装及集成

4、保存搜索记录

5、加载搜索记录列表

6、删除搜索记录

五、app端搜索-关键字联想词

1、需求分析

2、搜索词-数据来源

3、功能实现

---

一、今日内容介绍

---

1、App端搜索-效果图

2、今日内容

• 文章搜索

  • ElasticSearch环境搭建

  • 索引库创建

  • 文章搜索多条件复合查询

  • 索引数据同步

• 搜索历史记录

  • Mongodb环境搭建

  • 异步保存搜索历史

  • 查看搜索历史列表

  • 删除搜索历史

• 联想词查询

  • 联想词的来源

  • 联想词功能实现

二、搭建ElasticSearch环境

---

1、拉取镜像

docker pull elasticsearch:7.4.0

2、创建容器

docker run -id --name elasticsearch -d --restart=always -p 9200:9200 -p 9300:9300 -v /usr/share/elasticsearch/plugins:/usr/share/elasticsearch/plugins -e "discovery.type=single-node" elasticsearch:7.4.0

3、配置中文分词器 ik

因为在创建elasticsearch容器的时候，映射了目录，所以可以在宿主机上进行配置ik中文分词器

在去选择ik分词器的时候，需要与elasticsearch的版本好对应上

把资料中的elasticsearch-analysis-ik-7.4.0.zip上传到服务器上,放到对应目录（plugins）解压

#切换目录
cd /usr/share/elasticsearch/plugins
#新建目录
mkdir analysis-ik
cd analysis-ik
#root根目录中拷贝文件
mv elasticsearch-analysis-ik-7.4.0.zip /usr/share/elasticsearch/plugins/analysis-ik
#解压文件
cd /usr/share/elasticsearch/plugins/analysis-ik
unzip elasticsearch-analysis-ik-7.4.0.zip

4、使用postman测试

三、app端文章搜索

---

1、需求分析

• 用户输入关键可搜索文章列表

• 关键词高亮显示

• 文章列表展示与home展示一样，当用户点击某一篇文章，可查看文章详情

2、思路分析

为了加快检索的效率，在查询的时候不会直接从数据库中查询文章，需要在elasticsearch中进行高速检索。

3、创建索引和映射

使用postman添加映射

put请求 ： http://192.168.200.130:9200/app_info_article

{"mappings":{"properties":{"id":{"type":"long"},"publishTime":{"type":"date"},"layout":{"type":"integer"},"images":{"type":"keyword","index": false},"staticUrl":{"type":"keyword","index": false},"authorId": {"type": "long"},"authorName": {"type": "text"},"title":{"type":"text","analyzer":"ik_smart"},"content":{"type":"text","analyzer":"ik_smart"}}}
}

4、数据初始化到索引库

1.导入es-init到heima-leadnews-test工程下

2.查询所有的文章信息，批量导入到es索引库中

package com.heima.es;import com.alibaba.fastjson.JSON;
import com.heima.es.mapper.ApArticleMapper;
import com.heima.es.pojo.SearchArticleVo;
import org.elasticsearch.action.bulk.BulkRequest;
import org.elasticsearch.action.index.IndexRequest;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.common.xcontent.XContentType;
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.List;@SpringBootTest
@RunWith(SpringRunner.class)
public class ApArticleTest {@Autowiredprivate ApArticleMapper apArticleMapper;@Autowiredprivate RestHighLevelClient restHighLevelClient;/*** 注意：数据量的导入，如果数据量过大，需要分页导入* @throws Exception*/@Testpublic void init() throws Exception {//1.查询所有符合条件的文章数据List<SearchArticleVo> searchArticleVos = apArticleMapper.loadArticleList();//2.批量导入到es索引库BulkRequest bulkRequest = new BulkRequest("app_info_article");for (SearchArticleVo searchArticleVo : searchArticleVos) {IndexRequest indexRequest = new IndexRequest().id(searchArticleVo.getId().toString()).source(JSON.toJSONString(searchArticleVo), XContentType.JSON);//批量添加数据bulkRequest.add(indexRequest);}restHighLevelClient.bulk(bulkRequest, RequestOptions.DEFAULT);}}

3.测试

postman查询所有的es中数据 GET请求： http://192.168.200.130:9200/app_info_article/_search

5、文章搜索功能实现

1.搭建搜索微服务

①导入 heima-leadnews-search

②在heima-leadnews-service的pom中添加依赖

<!--elasticsearch-->
<dependency><groupId>org.elasticsearch.client</groupId><artifactId>elasticsearch-rest-high-level-client</artifactId><version>7.4.0</version>
</dependency>
<dependency><groupId>org.elasticsearch.client</groupId><artifactId>elasticsearch-rest-client</artifactId><version>7.4.0</version>
</dependency>
<dependency><groupId>org.elasticsearch</groupId><artifactId>elasticsearch</artifactId><version>7.4.0</version>
</dependency>

③nacos配置中心leadnews-search

spring:autoconfigure:exclude: org.springframework.boot.autoconfigure.jdbc.DataSourceAutoConfiguration
elasticsearch:host: 192.168.200.130port: 9200

2.搜索接口定义

package com.heima.search.controller.v1;import com.heima.model.common.dtos.ResponseResult;
import com.heima.model.search.dtos.UserSearchDto;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestBody;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;import java.io.IOException;@RestController
@RequestMapping("/api/v1/article/search")
public class ArticleSearchController {@PostMapping("/search")public ResponseResult search(@RequestBody UserSearchDto dto) throws IOException {return null;}
}

UserSearchDto

package com.heima.model.search.dtos;import lombok.Data;import java.util.Date;@Data
public class UserSearchDto {/*** 搜索关键字*/String searchWords;/*** 当前页*/int pageNum;/*** 分页条数*/int pageSize;/*** 最小时间*/Date minBehotTime;public int getFromIndex(){if(this.pageNum<1)return 0;if(this.pageSize<1) this.pageSize = 10;return this.pageSize * (pageNum-1);}
}

3.业务层实现

创建业务层接口：ApArticleSearchService

package com.heima.search.service;import com.heima.model.search.dtos.UserSearchDto;
import com.heima.model.common.dtos.ResponseResult;import java.io.IOException;public interface ArticleSearchService {/**ES文章分页搜索@return*/ResponseResult search(UserSearchDto userSearchDto) throws IOException;
}

实现类：

package com.heima.search.service.impl;import com.alibaba.fastjson.JSON;
import com.heima.model.common.dtos.ResponseResult;
import com.heima.model.common.enums.AppHttpCodeEnum;
import com.heima.model.search.dtos.UserSearchDto;
import com.heima.model.user.pojos.ApUser;
import com.heima.search.service.ArticleSearchService;
import com.heima.utils.thread.AppThreadLocalUtil;
import lombok.extern.slf4j.Slf4j;
import org.apache.commons.lang3.StringUtils;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.common.text.Text;
import org.elasticsearch.index.query.*;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.search.sort.SortOrder;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;import java.io.IOException;
import java.util.ArrayList;
import java.util.List;
import java.util.Map;@Service
@Slf4j
public class ArticleSearchServiceImpl implements ArticleSearchService {@Autowiredprivate RestHighLevelClient restHighLevelClient;/*** es文章分页检索** @param dto* @return*/@Overridepublic ResponseResult search(UserSearchDto dto) throws IOException {//1.检查参数if(dto == null || StringUtils.isBlank(dto.getSearchWords())){return ResponseResult.errorResult(AppHttpCodeEnum.PARAM_INVALID);}//2.设置查询条件SearchRequest searchRequest = new SearchRequest("app_info_article");SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();//布尔查询BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();//关键字的分词之后查询QueryStringQueryBuilder queryStringQueryBuilder = QueryBuilders.queryStringQuery(dto.getSearchWords()).field("title").field("content").defaultOperator(Operator.OR);boolQueryBuilder.must(queryStringQueryBuilder);//查询小于mindate的数据RangeQueryBuilder rangeQueryBuilder = QueryBuilders.rangeQuery("publishTime").lt(dto.getMinBehotTime().getTime());boolQueryBuilder.filter(rangeQueryBuilder);//分页查询searchSourceBuilder.from(0);searchSourceBuilder.size(dto.getPageSize());//按照发布时间倒序查询searchSourceBuilder.sort("publishTime", SortOrder.DESC);//设置高亮  titleHighlightBuilder highlightBuilder = new HighlightBuilder();highlightBuilder.field("title");highlightBuilder.preTags("<font style='color: red; font-size: inherit;'>");highlightBuilder.postTags("</font>");searchSourceBuilder.highlighter(highlightBuilder);searchSourceBuilder.query(boolQueryBuilder);searchRequest.source(searchSourceBuilder);SearchResponse searchResponse = restHighLevelClient.search(searchRequest, RequestOptions.DEFAULT);//3.结果封装返回List<Map> list = new ArrayList<>();SearchHit[] hits = searchResponse.getHits().getHits();for (SearchHit hit : hits) {String json = hit.getSourceAsString();Map map = JSON.parseObject(json, Map.class);//处理高亮if(hit.getHighlightFields() != null && hit.getHighlightFields().size() > 0){Text[] titles = hit.getHighlightFields().get("title").getFragments();String title = StringUtils.join(titles);//高亮标题map.put("h_title",title);}else {//原始标题map.put("h_title",map.get("title"));}list.add(map);}return ResponseResult.okResult(list);}
}

4.控制层实现

新建控制器ArticleSearchController

package com.heima.search.controller.v1;import com.heima.model.common.dtos.ResponseResult;
import com.heima.model.search.dtos.UserSearchDto;
import com.heima.search.service.ArticleSearchService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestBody;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;import java.io.IOException;@RestController
@RequestMapping("/api/v1/article/search")
public class ArticleSearchController {@Autowiredprivate ArticleSearchService articleSearchService;@PostMapping("/search")public ResponseResult search(@RequestBody UserSearchDto dto) throws IOException {return articleSearchService.search(dto);}
}

5.测试

需要在app的网关中添加搜索微服务的路由配置

#搜索微服务
- id: leadnews-searchuri: lb://leadnews-searchpredicates:- Path=/search/**filters:- StripPrefix= 1

启动项目进行测试，至少要启动文章微服务，用户微服务，搜索微服务，app网关微服务，app前端工程

6、文章自动审核构建索引

1.思路分析

2.文章微服务发送消息

①把SearchArticleVo放到model工程下

package com.heima.model.search.vos;import lombok.Data;import java.util.Date;@Data
public class SearchArticleVo {// 文章idprivate Long id;// 文章标题private String title;// 文章发布时间private Date publishTime;// 文章布局private Integer layout;// 封面private String images;// 作者idprivate Long authorId;// 作者名词private String authorName;//静态urlprivate String staticUrl;//文章内容private String content;}

②文章微服务的ArticleFreemarkerService中的buildArticleToMinIO方法中收集数据并发送消息

完整代码如下：

package com.heima.article.service.impl;import com.alibaba.fastjson.JSON;
import com.alibaba.fastjson.JSONArray;
import com.baomidou.mybatisplus.core.toolkit.Wrappers;
import com.heima.article.mapper.ApArticleContentMapper;
import com.heima.article.service.ApArticleService;
import com.heima.article.service.ArticleFreemarkerService;
import com.heima.common.constants.ArticleConstants;
import com.heima.file.service.FileStorageService;
import com.heima.model.article.pojos.ApArticle;
import com.heima.model.search.vos.SearchArticleVo;
import freemarker.template.Configuration;
import freemarker.template.Template;
import lombok.extern.slf4j.Slf4j;
import org.apache.commons.lang3.StringUtils;
import org.springframework.beans.BeanUtils;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.kafka.core.KafkaTemplate;
import org.springframework.scheduling.annotation.Async;
import org.springframework.stereotype.Service;
import org.springframework.transaction.annotation.Transactional;import java.io.ByteArrayInputStream;
import java.io.InputStream;
import java.io.StringWriter;
import java.util.HashMap;
import java.util.Map;@Service
@Slf4j
@Transactional
public class ArticleFreemarkerServiceImpl implements ArticleFreemarkerService {@Autowiredprivate ApArticleContentMapper apArticleContentMapper;@Autowiredprivate Configuration configuration;@Autowiredprivate FileStorageService fileStorageService;@Autowiredprivate ApArticleService apArticleService;/*** 生成静态文件上传到minIO中* @param apArticle* @param content*/@Async@Overridepublic void buildArticleToMinIO(ApArticle apArticle, String content) {//已知文章的id//4.1 获取文章内容if(StringUtils.isNotBlank(content)){//4.2 文章内容通过freemarker生成html文件Template template = null;StringWriter out = new StringWriter();try {template = configuration.getTemplate("article.ftl");//数据模型Map<String,Object> contentDataModel = new HashMap<>();contentDataModel.put("content", JSONArray.parseArray(content));//合成template.process(contentDataModel,out);} catch (Exception e) {e.printStackTrace();}//4.3 把html文件上传到minio中InputStream in = new ByteArrayInputStream(out.toString().getBytes());String path = fileStorageService.uploadHtmlFile("", apArticle.getId() + ".html", in);//4.4 修改ap_article表，保存static_url字段apArticleService.update(Wrappers.<ApArticle>lambdaUpdate().eq(ApArticle::getId,apArticle.getId()).set(ApArticle::getStaticUrl,path));//发送消息，创建索引createArticleESIndex(apArticle,content,path);}}@Autowiredprivate KafkaTemplate<String,String> kafkaTemplate;/*** 送消息，创建索引* @param apArticle* @param content* @param path*/private void createArticleESIndex(ApArticle apArticle, String content, String path) {SearchArticleVo vo = new SearchArticleVo();BeanUtils.copyProperties(apArticle,vo);vo.setContent(content);vo.setStaticUrl(path);kafkaTemplate.send(ArticleConstants.ARTICLE_ES_SYNC_TOPIC, JSON.toJSONString(vo));}}

在ArticleConstants类中添加新的常量，完整代码如下

package com.heima.common.constants;public class ArticleConstants {public static final Short LOADTYPE_LOAD_MORE = 1;public static final Short LOADTYPE_LOAD_NEW = 2;public static final String DEFAULT_TAG = "__all__";public static final String ARTICLE_ES_SYNC_TOPIC = "article.es.sync.topic";public static final Integer HOT_ARTICLE_LIKE_WEIGHT = 3;public static final Integer HOT_ARTICLE_COMMENT_WEIGHT = 5;public static final Integer HOT_ARTICLE_COLLECTION_WEIGHT = 8;public static final String HOT_ARTICLE_FIRST_PAGE = "hot_article_first_page_";
}

③文章微服务集成kafka发送消息

在文章微服务的nacos的配置中心添加如下配置

kafka:bootstrap-servers: 192.168.200.130:9092producer:retries: 10key-serializer: org.apache.kafka.common.serialization.StringSerializervalue-serializer: org.apache.kafka.common.serialization.StringSerializer

3.搜索微服务创建索引

①搜索微服务中添加kafka的配置,nacos配置如下

spring:kafka:bootstrap-servers: 192.168.200.130:9092consumer:group-id: ${spring.application.name}key-deserializer: org.apache.kafka.common.serialization.StringDeserializervalue-deserializer: org.apache.kafka.common.serialization.StringDeserializer

②定义监听接收消息,保存索引数据

package com.heima.search.listener;import com.alibaba.fastjson.JSON;
import com.heima.common.constants.ArticleConstants;
import com.heima.model.search.vos.SearchArticleVo;
import lombok.extern.slf4j.Slf4j;
import org.apache.commons.lang3.StringUtils;
import org.elasticsearch.action.index.IndexRequest;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.common.xcontent.XContentType;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.kafka.annotation.KafkaListener;
import org.springframework.stereotype.Component;import java.io.IOException;@Component
@Slf4j
public class SyncArticleListener {@Autowiredprivate RestHighLevelClient restHighLevelClient;@KafkaListener(topics = ArticleConstants.ARTICLE_ES_SYNC_TOPIC)public void onMessage(String message){if(StringUtils.isNotBlank(message)){log.info("SyncArticleListener,message={}",message);SearchArticleVo searchArticleVo = JSON.parseObject(message, SearchArticleVo.class);IndexRequest indexRequest = new IndexRequest("app_info_article");indexRequest.id(searchArticleVo.getId().toString());indexRequest.source(message, XContentType.JSON);try {restHighLevelClient.index(indexRequest, RequestOptions.DEFAULT);} catch (IOException e) {e.printStackTrace();log.error("sync es error={}",e);}}}
}

四、app端搜索-搜索记录

---

1、需求分析

2、数据存储说明

用户的搜索记录，需要给每一个用户都保存一份，数据量较大，要求加载速度快，通常这样的数据存储到mongodb更合适，不建议直接存储到关系型数据库中

3、MongoDB安装及集成

1.安装MongoDB

拉取镜像

docker pull mongo

创建容器

docker run -di --name mongo-service --restart=always -p 27017:27017 -v ~/data/mongodata:/data mongo

2.导入资料中的mongo-demo项目到heima-leadnews-test中

其中有三项配置比较关键：

第一：mongo依赖

<dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-data-mongodb</artifactId>
</dependency>

第二：mongo配置

server:port: 9998
spring:data:mongodb:host: 192.168.200.130port: 27017database: leadnews-history

第三：映射

package com.itheima.mongo.pojo;import lombok.Data;
import org.springframework.data.mongodb.core.mapping.Document;import java.io.Serializable;
import java.util.Date;/*** <p>* 联想词表* </p>** @author itheima*/
@Data
@Document("ap_associate_words")
public class ApAssociateWords implements Serializable {private static final long serialVersionUID = 1L;private String id;/*** 联想词*/private String associateWords;/*** 创建时间*/private Date createdTime;}

3.核心方法

package com.itheima.mongo.test;import com.itheima.mongo.MongoApplication;
import com.itheima.mongo.pojo.ApAssociateWords;
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.data.mongodb.core.MongoTemplate;
import org.springframework.data.mongodb.core.query.Criteria;
import org.springframework.data.mongodb.core.query.Query;
import org.springframework.test.context.junit4.SpringRunner;import java.util.Date;
import java.util.List;@SpringBootTest(classes = MongoApplication.class)
@RunWith(SpringRunner.class)
public class MongoTest {@Autowiredprivate MongoTemplate mongoTemplate;//保存@Testpublic void saveTest(){/*for (int i = 0; i < 10; i++) {ApAssociateWords apAssociateWords = new ApAssociateWords();apAssociateWords.setAssociateWords("黑马头条");apAssociateWords.setCreatedTime(new Date());mongoTemplate.save(apAssociateWords);}*/ApAssociateWords apAssociateWords = new ApAssociateWords();apAssociateWords.setAssociateWords("黑马直播");apAssociateWords.setCreatedTime(new Date());mongoTemplate.save(apAssociateWords);}//查询一个@Testpublic void saveFindOne(){ApAssociateWords apAssociateWords = mongoTemplate.findById("60bd973eb0c1d430a71a7928", ApAssociateWords.class);System.out.println(apAssociateWords);}//条件查询@Testpublic void testQuery(){Query query = Query.query(Criteria.where("associateWords").is("黑马头条")).with(Sort.by(Sort.Direction.DESC,"createdTime"));List<ApAssociateWords> apAssociateWordsList = mongoTemplate.find(query, ApAssociateWords.class);System.out.println(apAssociateWordsList);}@Testpublic void testDel(){mongoTemplate.remove(Query.query(Criteria.where("associateWords").is("黑马头条")),ApAssociateWords.class);}
}

4、保存搜索记录

1.实现思路

用户输入关键字进行搜索的异步记录关键字

用户搜索记录对应的集合，对应实体类：

package com.heima.search.pojos;import lombok.Data;
import org.springframework.data.mongodb.core.mapping.Document;import java.io.Serializable;
import java.util.Date;/*** <p>* APP用户搜索信息表* </p>* @author itheima*/
@Data
@Document("ap_user_search")
public class ApUserSearch implements Serializable {private static final long serialVersionUID = 1L;/*** 主键*/private String id;/*** 用户ID*/private Integer userId;/*** 搜索词*/private String keyword;/*** 创建时间*/private Date createdTime;}

2.实现步骤

①搜索微服务集成mongodb

pom依赖

<dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-data-mongodb</artifactId>
</dependency>

nacos配置

spring:data:mongodb:host: 192.168.200.130port: 27017database: leadnews-history

在当天资料中找到对应的实体类拷贝到搜索微服务下

package com.heima.search.pojos;import lombok.Data;
import org.springframework.data.mongodb.core.mapping.Document;import java.io.Serializable;
import java.util.Date;/*** <p>* APP用户搜索信息表* </p>* @author itheima*/
@Data
@Document("ap_user_search")
public class ApUserSearch implements Serializable {private static final long serialVersionUID = 1L;/*** 主键*/private String id;/*** 用户ID*/private Integer userId;/*** 搜索词*/private String keyword;/*** 创建时间*/private Date createdTime;}

package com.heima.search.pojos;import lombok.Data;
import org.springframework.data.mongodb.core.mapping.Document;import java.io.Serializable;
import java.util.Date;/*** <p>* 联想词表* </p>** @author itheima*/
@Data
@Document("ap_associate_words")
public class ApAssociateWords implements Serializable {private static final long serialVersionUID = 1L;private String id;/*** 联想词*/private String associateWords;/*** 创建时间*/private Date createdTime;}

②创建ApUserSearchService新增insert方法

public interface ApUserSearchService {/*** 保存用户搜索历史记录* @param keyword* @param userId*/public void insert(String keyword,Integer userId);
}

实现类：

@Service
@Slf4j
public class ApUserSearchServiceImpl implements ApUserSearchService {@Autowiredprivate MongoTemplate mongoTemplate;/*** 保存用户搜索历史记录* @param keyword* @param userId*/@Override@Asyncpublic void insert(String keyword, Integer userId) {//1.查询当前用户的搜索关键词Query query = Query.query(Criteria.where("userId").is(userId).and("keyword").is(keyword));ApUserSearch apUserSearch = mongoTemplate.findOne(query, ApUserSearch.class);//2.存在 更新创建时间if(apUserSearch != null){apUserSearch.setCreatedTime(new Date());mongoTemplate.save(apUserSearch);return;}//3.不存在，判断当前历史记录总数量是否超过10apUserSearch = new ApUserSearch();apUserSearch.setUserId(userId);apUserSearch.setKeyword(keyword);apUserSearch.setCreatedTime(new Date());Query query1 = Query.query(Criteria.where("userId").is(userId));query1.with(Sort.by(Sort.Direction.DESC,"createdTime"));List<ApUserSearch> apUserSearchList = mongoTemplate.find(query1, ApUserSearch.class);if(apUserSearchList == null || apUserSearchList.size() < 10){mongoTemplate.save(apUserSearch);}else {ApUserSearch lastUserSearch = apUserSearchList.get(apUserSearchList.size() - 1);mongoTemplate.findAndReplace(Query.query(Criteria.where("id").is(lastUserSearch.getId())),apUserSearch);}}
}

3.参考自媒体相关微服务，在搜索微服务中获取当前登录的用户

Util类

package com.heima.utils.thread;import com.heima.model.user.pojos.ApUser;
import com.heima.model.wemedia.pojos.WmUser;/*** Description: new java files header..** @author zhangzuhao* @version 1.0* @date 2023/7/18 15:56*/public class AppThreadLocalUtil {private final static ThreadLocal<ApUser> WM_USER_THREAD_LOCAL = new ThreadLocal<>();//存入线程中public static void setUser(ApUser apUser){WM_USER_THREAD_LOCAL.set(apUser);}//获取线程数据public static ApUser getUser(){return WM_USER_THREAD_LOCAL.get();}//清理数据public static void clear(){WM_USER_THREAD_LOCAL.remove();}
}

interceptor

package com.heima.search.interceptor;import com.heima.model.user.pojos.ApUser;
import com.heima.model.wemedia.pojos.WmUser;
import com.heima.utils.thread.AppThreadLocalUtil;
import com.heima.utils.thread.WmThreadLocalUtil;
import org.springframework.web.servlet.HandlerInterceptor;
import org.springframework.web.servlet.ModelAndView;import javax.servlet.http.HttpServletRequest;
import javax.servlet.http.HttpServletResponse;/*** Description: new java files header..** @author zhangzuhao* @version 1.0* @date 2023/8/7 16:54*/public class AppTokenInterceptor implements HandlerInterceptor {@Overridepublic boolean preHandle(HttpServletRequest request, HttpServletResponse response, Object handler) throws Exception {String userId = request.getHeader("userId");if (userId!=null){ApUser apUser = new ApUser();apUser.setId(Integer.valueOf(userId));AppThreadLocalUtil.setUser(apUser);}return true;}@Overridepublic void afterCompletion(HttpServletRequest request, HttpServletResponse response, Object handler, Exception ex) throws Exception {AppThreadLocalUtil.clear();}
}

config

package com.heima.search.config;import com.heima.search.interceptor.AppTokenInterceptor;
import org.springframework.context.annotation.Configuration;
import org.springframework.web.servlet.config.annotation.InterceptorRegistry;
import org.springframework.web.servlet.config.annotation.WebMvcConfigurer;/*** Description: new java files header..** @author zhangzuhao* @version 1.0* @date 2023/7/18 16:06*/@Configuration
public class WebMvcConfig implements WebMvcConfigurer {@Overridepublic void addInterceptors(InterceptorRegistry registry) {registry.addInterceptor(new AppTokenInterceptor()).addPathPatterns("/**");}
}

4.在ArticleSearchService的search方法中调用保存历史记录

完整代码如下：

package com.heima.search.service.impl;import com.alibaba.fastjson.JSON;
import com.heima.model.common.dtos.ResponseResult;
import com.heima.model.common.enums.AppHttpCodeEnum;
import com.heima.model.search.dtos.UserSearchDto;
import com.heima.model.user.pojos.ApUser;
import com.heima.search.service.ApUserSearchService;
import com.heima.search.service.ArticleSearchService;
import com.heima.utils.thread.AppThreadLocalUtil;
import lombok.extern.slf4j.Slf4j;
import org.apache.commons.lang3.StringUtils;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.common.text.Text;
import org.elasticsearch.index.query.*;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.search.sort.SortOrder;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;import java.io.IOException;
import java.util.ArrayList;
import java.util.List;
import java.util.Map;@Service
@Slf4j
public class ArticleSearchServiceImpl implements ArticleSearchService {@Autowiredprivate RestHighLevelClient restHighLevelClient;@Autowiredprivate ApUserSearchService apUserSearchService;/*** es文章分页检索** @param dto* @return*/@Overridepublic ResponseResult search(UserSearchDto dto) throws IOException {//1.检查参数if(dto == null || StringUtils.isBlank(dto.getSearchWords())){return ResponseResult.errorResult(AppHttpCodeEnum.PARAM_INVALID);}ApUser user = AppThreadLocalUtil.getUser();//异步调用 保存搜索记录if(user != null && dto.getFromIndex() == 0){apUserSearchService.insert(dto.getSearchWords(), user.getId());}//2.设置查询条件SearchRequest searchRequest = new SearchRequest("app_info_article");SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();//布尔查询BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();//关键字的分词之后查询QueryStringQueryBuilder queryStringQueryBuilder = QueryBuilders.queryStringQuery(dto.getSearchWords()).field("title").field("content").defaultOperator(Operator.OR);boolQueryBuilder.must(queryStringQueryBuilder);//查询小于mindate的数据RangeQueryBuilder rangeQueryBuilder = QueryBuilders.rangeQuery("publishTime").lt(dto.getMinBehotTime().getTime());boolQueryBuilder.filter(rangeQueryBuilder);//分页查询searchSourceBuilder.from(0);searchSourceBuilder.size(dto.getPageSize());//按照发布时间倒序查询searchSourceBuilder.sort("publishTime", SortOrder.DESC);//设置高亮  titleHighlightBuilder highlightBuilder = new HighlightBuilder();highlightBuilder.field("title");highlightBuilder.preTags("<font style='color: red; font-size: inherit;'>");highlightBuilder.postTags("</font>");searchSourceBuilder.highlighter(highlightBuilder);searchSourceBuilder.query(boolQueryBuilder);searchRequest.source(searchSourceBuilder);SearchResponse searchResponse = restHighLevelClient.search(searchRequest, RequestOptions.DEFAULT);//3.结果封装返回List<Map> list = new ArrayList<>();SearchHit[] hits = searchResponse.getHits().getHits();for (SearchHit hit : hits) {String json = hit.getSourceAsString();Map map = JSON.parseObject(json, Map.class);//处理高亮if(hit.getHighlightFields() != null && hit.getHighlightFields().size() > 0){Text[] titles = hit.getHighlightFields().get("title").getFragments();String title = StringUtils.join(titles);//高亮标题map.put("h_title",title);}else {//原始标题map.put("h_title",map.get("title"));}list.add(map);}return ResponseResult.okResult(list);}
}

5.保存历史记录中开启异步调用，添加注解@Async

6.在搜索微服务引导类上开启异步调用

7.测试，搜索后查看结果

5、加载搜索记录列表

1.思路分析

按照当前用户，按照时间倒序查询

说明
接口路径	/api/v1/history/load
请求方式	POST
参数	无
响应结果	ResponseResult

2.接口定义

/*** <p>* APP用户搜索信息表 前端控制器* </p>** @author itheima*/
@Slf4j
@RestController
@RequestMapping("/api/v1/history")
public class ApUserSearchController{@PostMapping("/load")@Overridepublic ResponseResult findUserSearch() {return null;}}

3.mapper

已定义

4.业务层

在ApUserSearchService中新增方法

/**查询搜索历史@return*/
ResponseResult findUserSearch();

实现方法

 /*** 查询搜索历史** @return*/
@Override
public ResponseResult findUserSearch() {//获取当前用户ApUser user = AppThreadLocalUtil.getUser();if(user == null){return ResponseResult.errorResult(AppHttpCodeEnum.NEED_LOGIN);}//根据用户查询数据，按照时间倒序List<ApUserSearch> apUserSearches = mongoTemplate.find(Query.query(Criteria.where("userId").is(user.getId())).with(Sort.by(Sort.Direction.DESC, "createdTime")), ApUserSearch.class);return ResponseResult.okResult(apUserSearches);
}

5.控制器

/*** <p>* APP用户搜索信息表 前端控制器* </p>* @author itheima*/
@Slf4j
@RestController
@RequestMapping("/api/v1/history")
public class ApUserSearchController{@Autowiredprivate ApUserSearchService apUserSearchService;@PostMapping("/load")public ResponseResult findUserSearch() {return apUserSearchService.findUserSearch();}}

6.测试

打开app的搜索页面，可以查看搜索记录列表

6、删除搜索记录

1.思路分析

按照搜索历史id删除

说明
接口路径	/api/v1/history/del
请求方式	POST
参数	HistorySearchDto
响应结果	ResponseResult

2.接口定义

在ApUserSearchController接口新增方法

@PostMapping("/del")
public ResponseResult delUserSearch(@RequestBody HistorySearchDto historySearchDto) {return null;
}

HistorySearchDto

@Data
public class HistorySearchDto {/*** 接收搜索历史记录id*/String id;
}

3.业务层

在ApUserSearchService中新增方法

 /**删除搜索历史@param historySearchDto@return*/
ResponseResult delUserSearch(HistorySearchDto historySearchDto);

实现方法

/*** 删除历史记录** @param dto* @return*/
@Override
public ResponseResult delUserSearch(HistorySearchDto dto) {//1.检查参数if(dto.getId() == null){return ResponseResult.errorResult(AppHttpCodeEnum.PARAM_INVALID);}//2.判断是否登录ApUser user = AppThreadLocalUtil.getUser();if(user == null){return ResponseResult.errorResult(AppHttpCodeEnum.NEED_LOGIN);}//3.删除mongoTemplate.remove(Query.query(Criteria.where("userId").is(user.getId()).and("id").is(dto.getId())),ApUserSearch.class);return ResponseResult.okResult(AppHttpCodeEnum.SUCCESS);
}

4.控制器

修改ApUserSearchController，补全方法

@PostMapping("/del")
public ResponseResult delUserSearch(@RequestBody HistorySearchDto historySearchDto) {return apUserSearchService.delUserSearch(historySearchDto);
}

5.测试

打开app可以删除搜索记录

五、app端搜索-关键字联想词

---

1、需求分析

对应实体类

package com.heima.search.pojos;import lombok.Data;
import org.springframework.data.mongodb.core.mapping.Document;import java.io.Serializable;
import java.util.Date;/*** <p>* 联想词表* </p>** @author itheima*/
@Data
@Document("ap_associate_words")
public class ApAssociateWords implements Serializable {private static final long serialVersionUID = 1L;private String id;/*** 联想词*/private String associateWords;/*** 创建时间*/private Date createdTime;}

2、搜索词-数据来源

通常是网上搜索频率比较高的一些词，通常在企业中有两部分来源：

第一：自己维护搜索词

通过分析用户搜索频率较高的词，按照排名作为搜索词

第二：第三方获取

关键词规划师（百度）、5118、爱站网

3、功能实现

1.接口定义

说明
接口路径	/api/v1/associate/search
请求方式	POST
参数	UserSearchDto
响应结果	ResponseResult

新建接口

package com.heima.search.controller.v1;import com.heima.model.common.dtos.ResponseResult;
import com.heima.model.search.dtos.UserSearchDto;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestBody;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;@RestController
@RequestMapping("/api/v1/associate")
public class ApAssociateWordsController {@PostMapping("/search")public ResponseResult search(@RequestBody UserSearchDto userSearchDto) {return null;}
}

2.业务层

新建联想词业务层接口

package com.heima.search.service;import com.heima.model.common.dtos.ResponseResult;
import com.heima.model.search.dtos.UserSearchDto;/*** <p>* 联想词表 服务类* </p>** @author itheima*/
public interface ApAssociateWordsService {/**联想词@param userSearchDto@return*/ResponseResult findAssociate(UserSearchDto userSearchDto);}

实现类

package com.heima.search.service.impl;import com.heima.model.common.dtos.ResponseResult;
import com.heima.model.common.enums.AppHttpCodeEnum;
import com.heima.model.search.dtos.UserSearchDto;
import com.heima.search.pojos.ApAssociateWords;
import com.heima.search.service.ApAssociateWordsService;
import org.apache.commons.lang3.StringUtils;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.mongodb.core.MongoTemplate;
import org.springframework.data.mongodb.core.query.Criteria;
import org.springframework.data.mongodb.core.query.Query;
import org.springframework.stereotype.Service;import java.util.List;/*** @Description:* @Version: V1.0*/
@Service
public class ApAssociateWordsServiceImpl implements ApAssociateWordsService {@AutowiredMongoTemplate mongoTemplate;/*** 联想词* @param userSearchDto* @return*/@Overridepublic ResponseResult findAssociate(UserSearchDto userSearchDto) {//1 参数检查if(userSearchDto == null || StringUtils.isBlank(userSearchDto.getSearchWords())){return ResponseResult.errorResult(AppHttpCodeEnum.PARAM_INVALID);}//分页检查if (userSearchDto.getPageSize() > 20) {userSearchDto.setPageSize(20);}//3 执行查询 模糊查询Query query = Query.query(Criteria.where("associateWords").regex(".*?\\" + userSearchDto.getSearchWords() + ".*"));query.limit(userSearchDto.getPageSize());List<ApAssociateWords> wordsList = mongoTemplate.find(query, ApAssociateWords.class);return ResponseResult.okResult(wordsList);}
}

3.控制器

新建联想词控制器

package com.heima.search.controller.v1;import com.heima.model.common.dtos.ResponseResult;
import com.heima.model.search.dtos.UserSearchDto;
import com.heima.search.service.ApAssociateWordsService;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestBody;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;/*** <p>* 联想词表 前端控制器* </p>* @author itheima*/
@Slf4j
@RestController
@RequestMapping("/api/v1/associate")
public class ApAssociateWordsController{@Autowiredprivate ApAssociateWordsService apAssociateWordsService;@PostMapping("/search")public ResponseResult findAssociate(@RequestBody UserSearchDto userSearchDto) {return apAssociateWordsService.findAssociate(userSearchDto);}
}

4.测试

同样，打开前端联调测试效果

结束!