Mongodb：业务应用（1）

环境搭建参考：mongodb：环境搭建_Success___的博客-CSDN博客

需求：

在文章搜索服务中实现保存搜索记录到mongdb

并在搜索时查询出mongdb保存的数据

1、安装mongodb依赖

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

2、创建数据库对应实体类

package com.heima.model.common.search;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;}

3、配置nacos

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

实现保存

1、在搜索服务的service层新增搜索历史保存方法insert

package com.heima.search.service;import com.heima.model.common.dtos.ResponseResult;
import com.heima.model.common.search.UserSearchDto;import java.io.IOException;public interface ArticleSearchService {/*文章搜索*/ResponseResult search(UserSearchDto dto) throws IOException;/*** 保存用户搜索历史记录* @param keyword* @param userId*/void insert(String keyword,Integer userId);}

2、实现类

package com.heima.search.service.impl;import com.heima.model.common.search.ApUserSearch;
import com.heima.search.service.ArticleSearchService;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Autowired;
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.scheduling.annotation.Async;
import org.springframework.stereotype.Service;import java.util.Date;
import java.util.List;@Service
@Slf4j
public class ArticleSearchServiceImpl implements ArticleSearchService {@AutowiredMongoTemplate mongoTemplate;/*** 保存用户搜索历史记录* @param keyword* @param userId*/@Override@Asyncpublic void insert(String keyword, Integer userId) {/*查询当前用户搜索的关键字*///构造查询条件Query query = Query.query(Criteria.where("userid").is(userId).and("keyword").is(keyword));//执行mongodb库的查询ApUserSearch userSearch = mongoTemplate.findOne(query, ApUserSearch.class);/*存在则更新创建时间重新保存*/if(userSearch != null) {userSearch.setCreatedTime(new Date());mongoTemplate.save(userSearch);return;}/*不存在，判断当前搜索记录数量是否超过10条*/userSearch = new ApUserSearch();userSearch.setUserId(userId);userSearch.setKeyword(keyword);userSearch.setCreatedTime(new Date());//构造搜索条件Query query1 = Query.query(Criteria.where("userId").is(userId));query1.with(Sort.by(Sort.Direction.DESC,"createdTime"));//执行查询List<ApUserSearch> list = mongoTemplate.find(query1, ApUserSearch.class);//判断listif(list == null || list.size() < 10){mongoTemplate.save(userSearch);}else {//获取mongodb中最后一条数据就ApUserSearch apUserSearch = list.get(list.size() - 1);//findAndReplace:根据查询条件替换库中的数据mongoTemplate.findAndReplace(Query.query(Criteria.where("id").is(apUserSearch.getId())),userSearch);}}}

3、在文章搜索方法search中异步调用上面实现的保存记录方法

注意：异步调用的方法需要在方法上加@Async 注解，并在工程启动类加入@EnableAsynczh注解开启异步

@Async是 Spring 框架提供的注解，用于将方法标记为异步执行的方法。它的作用是告诉 Spring 框架在调用被注解的方法时，将其放入线程池中异步执行，而不是阻塞等待方法的完成。

service层完整代码如下

package com.heima.search.service.impl;import com.alibaba.cloud.commons.lang.StringUtils;
import com.alibaba.fastjson.JSON;
import com.heima.model.common.dtos.ResponseResult;
import com.heima.model.common.enums.AppHttpCodeEnum;
import com.heima.model.common.search.ApUserSearch;
import com.heima.model.common.search.UserSearchDto;
import com.heima.model.common.user.ApUser;
import com.heima.search.service.ArticleSearchService;
import com.heima.utils.thread.AppThreadLocalUtil;
import lombok.extern.slf4j.Slf4j;
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.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.scheduling.annotation.Async;
import org.springframework.stereotype.Service;import java.io.IOException;
import java.util.ArrayList;
import java.util.Date;
import java.util.List;
import java.util.Map;@Service
@Slf4j
public class ArticleSearchServiceImpl implements ArticleSearchService {@AutowiredRestHighLevelClient restHighLevelClient;@AutowiredMongoTemplate mongoTemplate;/*文章搜索*/@Overridepublic ResponseResult search(UserSearchDto dto) throws IOException {//参数校验//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){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 = org.apache.commons.lang.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);}/*** 保存用户搜索历史记录* @param keyword* @param userId*/@Override@Asyncpublic void insert(String keyword, Integer userId) {/*查询当前用户搜索的关键字*///构造查询条件Query query = Query.query(Criteria.where("userid").is(userId).and("keyword").is(keyword));//执行mongodb库的查询ApUserSearch userSearch = mongoTemplate.findOne(query, ApUserSearch.class);/*存在则更新创建时间重新保存*/if(userSearch != null) {userSearch.setCreatedTime(new Date());mongoTemplate.save(userSearch);return;}/*不存在，判断当前搜索记录数量是否超过10条*/userSearch = new ApUserSearch();userSearch.setUserId(userId);userSearch.setKeyword(keyword);userSearch.setCreatedTime(new Date());//构造搜索条件Query query1 = Query.query(Criteria.where("userId").is(userId));query1.with(Sort.by(Sort.Direction.DESC,"createdTime"));//执行查询List<ApUserSearch> list = mongoTemplate.find(query1, ApUserSearch.class);//判断listif(list == null || list.size() < 10){mongoTemplate.save(userSearch);}else {//获取mongodb中最后一条数据就ApUserSearch apUserSearch = list.get(list.size() - 1);//findAndReplace:根据查询条件替换库中的数据mongoTemplate.findAndReplace(Query.query(Criteria.where("id").is(apUserSearch.getId())),userSearch);}}}

4、测试

前端输入搜索内容