黑马头条--day07--app文章搜索

一.安装elasticsearch

1.拉取镜像

2.创建存放数据及配置文件的文件夹，启动时挂载。

4.修改文件夹权限

5.启动容器

5.1参数解释

6.安装ik分词器

6.2测试一下Ik分词器

二.添加文章索引库

1查询所有的文章信息，批量导入到es索引库中

2)测试

三.文章搜索功能实现

（1）导入 heima-leadnews-search

（2）在heima-leadnews-service的pom中添加依赖

（3）nacos配置中心leadnews-search

2搜索接口定义

3业务层实现

四.文章自动审核构建索引

文章微服务发送消息

1.把SearchArticleVo放到model工程下

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

3. 在ArticleConstants类中添加新的常量，完整代码如下

4.文章微服务集成kafka发送消息

搜索微服务接收消息并创建索引

5.定义监听接收消息,保存索引数据

五.保存用户搜索记录

1.MongoDB安装及集成

2.保存搜索记录

3.用户搜索记录对应的集合，对应实体类：

4.实现步骤

4.1：pom依赖

4.2：nacos配置

4.3.创建ApUserSearchService新增insert方法

4.4参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

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

4.6.保存历史记录中开启异步调用，添加注解@Async

4.7在搜索微服务引导类上开启异步调用

4.8测试，搜索后查看结果

六.查询用户搜素记录编辑

控制器

七.删除用户搜索记录

八.联想词搜索

搜索词-数据来源

功能实现

一.安装elasticsearch

1.拉取镜像

docker pull elasticsearch:7.7.0

2.创建存放数据及配置文件的文件夹，启动时挂载。

mkdir -p  /home/elasticsearch/data/ 
mkdir -p  /home/elasticsearch/config/

3.编写配置文件

echo 'http.host: 0.0.0.0
http.cors.enabled: true
http.cors.allow-origin: "*" '>>/home/elasticsearch/config/elasticsearch.yml

4.修改文件夹权限

chmod -R 777 /home/elasticsearch/
ls -l # 查看文件权限

5.启动容器

docker run --name elasticsearch -p 9200:9200 \
 -p 9300:9300 \
 -e "discovery.type=single-node" \
 -e ES_JAVA_OPTS="-Xms64m -Xmx128m" \
  -v /home/elasticsearch/config/elasticsearch.yml:/usr/share/elasticsearch/config/elasticsearch.yml \
 -v /home/elasticsearch/data:/usr/share/elasticsearch/data \
 -v /home/elasticsearch/plugins:/usr/share/elasticsearch/plugins \
 -d elasticsearch:7.7.0

5.1参数解释

--name elasticsearch：将容器命名为 elasticsearch
-p 9200:9200：将容器的9200端口映射到宿主机9200端口
-p 9300:9300：将容器的9300端口映射到宿主机9300端口，目的是集群互相通信
-e "discovery.type=single-node"：单例模式
-e ES_JAVA_OPTS="-Xms64m -Xmx128m"：配置内存大小
-v /mydata/elasticsearch/config/elasticsearch.yml:/usr/share/elasticsearch/config/elasticsearch.yml：将配置文件挂载到宿主机
-v /mydata/elasticsearch/data:/usr/share/elasticsearch/data：将数据文件夹挂载到宿主机
-v /mydata/elasticsearch/plugins:/usr/share/elasticsearch/plugins：将插件目录挂载到宿主机(需重启)
-d elasticsearch:7.7.0：后台运行容器，并返回容器ID

6.安装ik分词器

下载ik-7.70版本，两个版本要一致

上传到插件挂在目录下面

//进入plugins目录
cd /home/elasticsearch/plugins    
//新建一个名字叫 ik 的文件夹
mkdir ik             
//将下载的ik分词器插件压缩包上传到ik文件夹下，然后解压zip到当前目录
unzip elasticsearch-analysis-ik-7.8.0.zip
//最后给一下ik文件夹的权限 
chmod -R 777 /home/elasticsearch/plugins/ik
//安装好后，检查下是否安装成功了
使用docker exec -it elasticsearch /bin/bash  命令 进入容器内部
进入容器的 cd /usr/share/elasticsearch/bin 目录
执行 elasticsearch-plugin list 命令(列出es安装的所有插件)
//如果列出了 ik 就说明es的ik中文分词器安装成功了 
//装好ik分词器后，记得重启ES容器
docker restart elasticsearch

6.2测试一下Ik分词器

可以看到ik分词器成功的安装好了!

二.添加文章索引库

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"
            }
        }
    }
}

1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 {

    @Autowired
    private ApArticleMapper apArticleMapper;

    @Autowired
    private 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
     */
    @Test
    public 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);

    }

}

2)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

三.文章搜索功能实现

（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>

（3）nacos配置中心leadnews-search

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

    @Autowired
    private RestHighLevelClient restHighLevelClient;

    /**
     * es文章分页检索
     *
     * @param dto
     * @return
     */
    @Override
    public 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  title
        HighlightBuilder 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);

    }
}

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 {

    @Autowired
    private ArticleSearchService articleSearchService;

    @PostMapping("/search")
    public ResponseResult search(@RequestBody UserSearchDto dto) throws IOException {
        return articleSearchService.search(dto);
    }
}

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-search
 uri: lb://leadnews-search
 predicates:
   - 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

四.文章自动审核构建索引

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id
    private 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id
    private Long authorId;
    // 作者名词
    private String authorName;
    //静态url
    private 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 {

    @Autowired
    private ApArticleContentMapper apArticleContentMapper;

    @Autowired
    private Configuration configuration;

    @Autowired
    private FileStorageService fileStorageService;

    @Autowired
    private ApArticleService apArticleService;

    /**
     * 生成静态文件上传到minIO中
     * @param apArticle
     * @param content
     */
    @Async
    @Override
    public 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);

        }
    }

    @Autowired
    private 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));
    }

}

3. 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_";
}

4.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: 192.168.200.130:9092
    producer:
      retries: 10
      key-serializer: org.apache.kafka.common.serialization.StringSerializer
      value-serializer: org.apache.kafka.common.serialization.StringSerializer

搜索微服务接收消息并创建索引

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

5.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 {

    @Autowired
    private 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);
            }
        }

    }
}

五.保存用户搜索记录

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

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

1.MongoDB安装及集成

拉取镜像

docker pull mongo

创建容器

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

2.保存搜索记录

用户输入关键字进行搜索的异步记录关键字

3.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;

}

ApAssociateWords

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;

}

4.实现步骤

4.1：pom依赖

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

4.2：nacos配置

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

4.3.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 {

    @Autowired
    private MongoTemplate mongoTemplate;
    /**
     * 保存用户搜索历史记录
     * @param keyword
     * @param userId
     */
    @Override
    @Async
    public 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10
        apUserSearch = 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);
        }
    }
}

4.4参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

通过在app-gateway中获取用户id，存入header中，然后在search的拦截器中获取userId，存入AppThreadLocalUtil工具类中

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

 @Override
    public 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

4.6.保存历史记录中开启异步调用，添加注解@Async

4.7在搜索微服务引导类上开启异步调用

4.8测试，搜索后查看结果

六.查询用户搜素记录

要求：当点击搜索框时，获取用户的搜索记录：

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

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);
}

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{

    @Autowired
    private ApUserSearchService apUserSearchService;

    @PostMapping("/load")
    public ResponseResult findUserSearch() {
        return apUserSearchService.findUserSearch();
    }

}

七.删除用户搜索记录

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

HistorySearchDto

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

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);
}

修改ApUserSearchController，补全方法

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

打开app可以删除搜索记录

八.联想词搜索

根据用户输入的关键字展示联想词

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

功能实现

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;
    }
}

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 {

    @Autowired
    MongoTemplate mongoTemplate;

    /**
     * 联想词
     * @param userSearchDto
     * @return
     */
    @Override
    public 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);
    }
}

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{

    @Autowired
    private ApAssociateWordsService apAssociateWordsService;

    @PostMapping("/search")
    public ResponseResult findAssociate(@RequestBody UserSearchDto userSearchDto) {
        return apAssociateWordsService.findAssociate(userSearchDto);
    }
}