厂里资讯之app端文章搜索

本文主要是介绍厂里资讯之app端文章搜索，希望对大家解决编程问题提供一定的参考价值，需要的开发者们随着小编来一起学习吧！

app端文章搜索

1) 内容介绍

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

2) 搭建ElasticSearch环境

2.1) 拉取镜像

docker pull elasticsearch:7.4.0

2.2) 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

2.3) 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

#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

3) app端文章搜索

3.1) 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

3.2) 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。

3.3) 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"}}}
}

GET请求查询映射：http://192.168.200.130:9200/app_info_article

DELETE请求，删除索引及映射：http://192.168.200.130:9200/app_info_article

GET请求，查询所有文档：http://192.168.200.130:9200/app_info_article/_search

3.4) 数据初始化到索引库

3.4.1)导入es-init到changli-Information-test工程下

3.4.1)查询所有的文章信息，批量导入到es索引库中

package com.kjz.es;

import com.alibaba.fastjson.JSON;
import com.kjz.es.mapper.ApArticleMapper;
import com.kjz.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);
}

}

3.4.3)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

3.5) 文章搜索功能实现

3.5.1)搭建搜索微服务

（1）创建changli-Information-search

（2）在changli-Information-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>

（3）nacos配置中心Information-search

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

3.5.2) 搜索接口定义

package com.kjz.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.kjz.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);}
}

3.5.3) 业务层实现

创建业务层接口：ApArticleSearchService

package com.kjz.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.kjz.search.service.impl;

import com.alibaba.fastjson.JSON;
import com.kjz.model.common.dtos.ResponseResult;
import com.kjz.model.common.enums.AppHttpCodeEnum;
import com.kjz.model.search.dtos.UserSearchDto;
import com.kjz.model.user.pojos.ApUser;
import com.kjz.search.service.ArticleSearchService;
import com.kjz.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);
}
}

3.5.4) 控制层实现

新建控制器ArticleSearchController

package com.kjz.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);}
}

3.5.5) 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: Information-searchuri: lb://Information-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

3.6) 文章自动审核构建索引

3.6.1)思路分析

3.6.2)文章微服务发送消息

1.把SearchArticleVo放到model工程下

package com.kjz.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.kjz.article.service.impl;

import com.alibaba.fastjson.JSON;
import com.alibaba.fastjson.JSONArray;
import com.baomidou.mybatisplus.core.toolkit.Wrappers;
import com.kjz.article.mapper.ApArticleContentMapper;
import com.kjz.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

3.6.3)搜索微服务接收消息并创建索引

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.kjz.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);}}
}
}

4) app端搜索-搜索记录

4.1) 需求分析

展示用户的搜索记录10条，按照搜索关键词的时间倒序
可以删除搜索记录
保存历史记录，保存10条，多余的则删除最久的历史记录

4.2)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

4.3)MongoDB安装及集成

4.3.1)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

4.3.2)创建mongo-demo项目到changli-Information-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: Information-history

第三：映射

package com.kjz.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 kjz*/
@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;

}

4.3.3)核心方法

package com.kjz.mongo.test;


import com.kjz.mongo.MongoApplication;
import com.kjz.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("厂里资讯");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);}
}

4.4)保存搜索记录

4.4.1)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.kjz.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;

}

4.4.2)实现步骤

1.搜索微服务集成mongodb

①：pom依赖

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

②：nacos配置

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

③：创建对应实体类到到搜索微服务下

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

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

4.5) 加载搜索记录列表

4.5.1) 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

4.5.2) 接口定义

/*** <p>* APP用户搜索信息表 前端控制器* </p>** @author kjz*/
@Slf4j
@RestController
@RequestMapping("/api/v1/history")
public class ApUserSearchController{

@PostMapping("/load")@Overridepublic ResponseResult findUserSearch() {return null;}

}

4.5.3) mapper

已定义

4.5.4) 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);
}

4.5.5) 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();}

}

4.5.6) 测试

打开app的搜索页面，可以查看搜索记录列表

4.6) 删除搜索记录

4.6.1) 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

4.6.2) 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;
}

4.6.3) 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);
}

4.6.4) 控制器

修改ApUserSearchController，补全方法

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

4.6.5) 测试

打开app可以删除搜索记录

5) app端搜索-关键字联想词

5.1 需求分析

根据用户输入的关键字展示联想词

对应实体类

package com.kjz.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 kjz*/
@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;

}

5.2)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

导入资料中的ap_associate_words.js脚本到mongo中

5.3 功能实现

5.3.1 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.kjz.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;}
}

5.3.3 业务层

新建联想词业务层接口

package com.kjz.search.service;

import com.kjz.model.common.dtos.ResponseResult;
import com.kjz.model.search.dtos.UserSearchDto;

/*** <p>* 联想词表 服务类* </p>** @author kjz*/
public interface ApAssociateWordsService {
/**联想词@param userSearchDto@return*/ResponseResult findAssociate(UserSearchDto userSearchDto);

}

实现类

package com.kjz.search.service.impl;

import com.kjz.model.common.dtos.ResponseResult;
import com.kjz.model.common.enums.AppHttpCodeEnum;
import com.kjz.model.search.dtos.UserSearchDto;
import com.kjz.search.pojos.ApAssociateWords;
import com.kjz.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);}
}

5.3.4 控制器

新建联想词控制器

package com.heima.search.controller.v1;

import com.kjz.model.common.dtos.ResponseResult;
import com.kjz.model.search.dtos.UserSearchDto;
import com.kjz.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);}
}

5.3.5 测试

同样，打开前端联调测试效果

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