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Elasticsearch高效文章搜索实践

🕗 发布于 2025-06-16 elasticsearch  搜索引擎  java  spring boot  spring cloud  

功能

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创建索引和映射

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使用postman添加映射和查询

image-20250610213733416

查询所有的文章信息，批量导入到es索引库中

image-20250610214358841 
server:
  port: 9999
spring:
  application:
    name: es-article

  datasource:
    driver-class-name: com.mysql.jdbc.Driver
    url: jdbc:mysql://localhost:3306/leadnews_article?useUnicode=true&characterEncoding=UTF-8&serverTimezone=UTC
    username: root
    password: root
# 设置Mapper接口所对应的XML文件位置，如果你在Mapper接口中有自定义方法，需要进行该配置
mybatis-plus:
  mapper-locations: classpath*:mapper/*.xml
  # 设置别名包扫描路径，通过该属性可以给包中的类注册别名
  type-aliases-package: com.heima.model.article.pojos


#自定义elasticsearch连接配置
elasticsearch:
  host: 192.168.200.130
  port: 9200

导入到es索引库

/**
 * 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 {
    // 查询所有符合条件的文章数据
    List<SearchArticleVo> searchArticleVos = apArticleMapper.loadArticleList();
    // 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);
}

需求说明

image-20250610221421008

搜索接口定义

image-20250610222047807

UserSearchDto

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实现步骤

image-20250612193842072

image-20250612193949445

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文章搜索服务实现

/**
     * 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);
        }

        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  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);

    }

新增文章同步添加索引

/**
 * 创建文章索引
 *
 * @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));
}

同步文章数据

@Component
@Slf4j
public class SyncArticleListener {

    @Autowired
    private RestHighLevelClient  restHighLevelClient;


    /**
     * 同步文章数据
     * @param message
     */
    @KafkaListener(topics = ArticleConstants.ARTICLE_ES_SYNC_TOPIC)
    public void onMessage(String message) {
        if (StringUtils.isNotBlank(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) {
                log.error("sync es error = {}", e.getMessage(), e);
            }
        }
    }
}

搜索记录

需求说明

image-20250613221520518

数据存储说明

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保存搜索记录-实现思路

image-20250613230006106

image-20250613230334610

image-20250613230414766

image-20250613230621594

用户搜索服务实现

保存用户搜索历史记录

/**
     * 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);
        }
    }

查询用户搜索历史记录

/**
     * 查询用户搜索历史记录
     * @return
     */
    @Override
    public ResponseResult findUserSearch() {
        // 获取当前用户
        ApUser user = AppThreadLocalUtil.getUser();
        if (user == null) {
            return ResponseResult.errorResult(AppHttpCodeEnum.NEED_LOGIN);
        }
        // 根据当前用户查询数据，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);
    }

删除用户搜索历史记录

/**
     * 删除用户搜索历史记录
     * @param dto
     * @return
     */
    @Override
    public ResponseResult delUserSearch(HistorySearchDto dto) {
        // 检查参数
        if (dto.getId() == null) {
            return ResponseResult.errorResult(AppHttpCodeEnum.PARAM_INVALID);
        }

        // 判断是否登录
        ApUser user = AppThreadLocalUtil.getUser();
        if (user == null) {
            return ResponseResult.errorResult(AppHttpCodeEnum.NEED_LOGIN);
        }
        // 删除
        mongoTemplate.remove(Query.query(Criteria.where("userId").is(user.getId())
                .and("id").is(dto.getId())), ApUserSearch.class);
        return ResponseResult.okResult(AppHttpCodeEnum.SUCCESS);
    }

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关键字联想词服务实现

image-20250614175924606

image-20250614180314561

image-20250614180446769

联想词查询

/**
 * 联想词查询
 * @param dto
 * @return
 */

@Override
public ResponseResult search(UserSearchDto dto) {
    // 检查参数
    if (StringUtils.isBlank(dto.getSearchWords())) {
        return ResponseResult.errorResult(AppHttpCodeEnum.PARAM_INVALID);
    }

    // 分页检查
    if (dto.getPageSize() > 20) {
        dto.setPageSize(20);
    }

    // 执行查询，模糊查询
    Query query = Query.query(
            Criteria.where("associateWords").regex(".*?\\" + dto.getSearchWords() + ".*"));
    query.limit(dto.getPageSize());
    List<ApAssociateWords> apAssociateWords = mongoTemplate.find(query, ApAssociateWords.class);
    return ResponseResult.okResult(apAssociateWords);
}

原文地址：https://blog.csdn.net/QQ2861104332/article/details/148658119

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