谷粒商城实战笔记-179~183-商城业务-检索服务-SearchRequest和SearchResponse构建

当从首页跳转到搜索界面，后端会根据搜索条件封装请求，向ES发出检索请求，查询到数据后，封装为之前设计好的数据结构，然后交给Thyleaf编译整合到页面模板中。

一，179-商城业务-检索服务-SearchRequest构建-检索

1，Controller接口

	@GetMapping(value = "/list.html")public String listPage(SearchParam searchParam, Model model) {SearchResult search = mallSearchService.search(searchParam);model.addAttribute("result", search);return "list";}

把查询结果放入Model，是为了Thymeleaf将数据整合到页面模板中。

二，180-商城业务-检索服务-SearchRequest构建-排序、分页、高亮&测试

三，181-商城业务-检索服务-SearchRequest构建-聚合

四，182-商城业务-检索服务-SearchResponse分析&封装

这四节的代码量比较大，难度笔记高，要求对DSL和Elasticsearch的Client API比较熟悉。这部分内容可以借助AI生成，比如将DSL交给ChatGPT，让它生成Java代码，然后在自测的过程中微调。

五，接口代码

@Slf4j
@Service
public class MallSearchServiceImpl implements MallSearchService {@Autowiredprivate RestHighLevelClient esRestClient;@Overridepublic SearchResult search(SearchParam param) {//动态构建出查询需要的DSL语句SearchResult result = null;//1、准备检索请求SearchRequest searchRequest = buildSearchRequest(param);try {//2、执行检索请求SearchResponse response = esRestClient.search(searchRequest, GulimallElasticSearchConfig.COMMON_OPTIONS);//3、分析响应数据，封装成我们需要的格式result = buildSearchResult(response,param);} catch (IOException e) {e.printStackTrace();}return result;}/*** 构建结果数据* 模糊匹配，过滤（按照属性、分类、品牌，价格区间，库存），完成排序、分页、高亮,聚合分析功能* @param response* @return*/private SearchResult buildSearchResult(SearchResponse response,SearchParam param) {SearchResult result = new SearchResult();//1、返回的所有查询到的商品SearchHits hits = response.getHits();List<SkuEsModel> esModels = new ArrayList<>();//遍历所有商品信息if (hits.getHits() != null && hits.getHits().length > 0) {for (SearchHit hit : hits.getHits()) {String sourceAsString = hit.getSourceAsString();SkuEsModel esModel = JSON.parseObject(sourceAsString, SkuEsModel.class);//判断是否按关键字检索，若是就显示高亮，否则不显示if (!StringUtils.isEmpty(param.getKeyword())) {//拿到高亮信息显示标题HighlightField skuTitle = hit.getHighlightFields().get("skuTitle");String skuTitleValue = skuTitle.getFragments()[0].string();esModel.setSkuTitle(skuTitleValue);}esModels.add(esModel);}}result.setProduct(esModels);//2、当前商品涉及到的所有属性信息List<SearchResult.AttrVo> attrVos = new ArrayList<>();//获取属性信息的聚合ParsedNested attrsAgg = response.getAggregations().get("attr_agg");ParsedLongTerms attrIdAgg = attrsAgg.getAggregations().get("attr_id_agg");for (Terms.Bucket bucket : attrIdAgg.getBuckets()) {SearchResult.AttrVo attrVo = new SearchResult.AttrVo();//1、得到属性的idlong attrId = bucket.getKeyAsNumber().longValue();attrVo.setAttrId(attrId);//2、得到属性的名字ParsedStringTerms attrNameAgg = bucket.getAggregations().get("attr_name_agg");String attrName = attrNameAgg.getBuckets().get(0).getKeyAsString();attrVo.setAttrName(attrName);//3、得到属性的所有值ParsedStringTerms attrValueAgg = bucket.getAggregations().get("attr_value_agg");List<String> attrValues = attrValueAgg.getBuckets().stream().map(item -> item.getKeyAsString()).collect(Collectors.toList());attrVo.setAttrValue(attrValues);attrVos.add(attrVo);}result.setAttrs(attrVos);//3、当前商品涉及到的所有品牌信息List<SearchResult.BrandVo> brandVos = new ArrayList<>();//获取到品牌的聚合ParsedLongTerms brandAgg = response.getAggregations().get("brand_agg");for (Terms.Bucket bucket : brandAgg.getBuckets()) {SearchResult.BrandVo brandVo = new SearchResult.BrandVo();//1、得到品牌的idlong brandId = bucket.getKeyAsNumber().longValue();brandVo.setBrandId(brandId);//2、得到品牌的名字ParsedStringTerms brandNameAgg = bucket.getAggregations().get("brand_name_agg");String brandName = brandNameAgg.getBuckets().get(0).getKeyAsString();brandVo.setBrandName(brandName);//3、得到品牌的图片ParsedStringTerms brandImgAgg = bucket.getAggregations().get("brand_img_agg");String brandImg = brandImgAgg.getBuckets().get(0).getKeyAsString();brandVo.setBrandImg(brandImg);brandVos.add(brandVo);}result.setBrands(brandVos);//4、当前商品涉及到的所有分类信息//获取到分类的聚合List<SearchResult.CatalogVo> catalogVos = new ArrayList<>();ParsedLongTerms catalogAgg = response.getAggregations().get("catalog_agg");for (Terms.Bucket bucket : catalogAgg.getBuckets()) {SearchResult.CatalogVo catalogVo = new SearchResult.CatalogVo();//得到分类idString keyAsString = bucket.getKeyAsString();catalogVo.setCatalogId(Long.parseLong(keyAsString));//得到分类名ParsedStringTerms catalogNameAgg = bucket.getAggregations().get("catalog_name_agg");String catalogName = catalogNameAgg.getBuckets().get(0).getKeyAsString();catalogVo.setCatalogName(catalogName);catalogVos.add(catalogVo);}result.setCatalogs(catalogVos);//===============以上可以从聚合信息中获取====================////5、分页信息-页码result.setPageNum(param.getPageNum());//5、1分页信息、总记录数long total = hits.getTotalHits().value;result.setTotal(total);//5、2分页信息-总页码-计算int totalPages = (int)total % EsConstant.PRODUCT_PAGESIZE == 0 ?(int)total / EsConstant.PRODUCT_PAGESIZE : ((int)total / EsConstant.PRODUCT_PAGESIZE + 1);result.setTotalPages(totalPages);List<Integer> pageNavs = new ArrayList<>();for (int i = 1; i <= totalPages; i++) {pageNavs.add(i);}result.setPageNavs(pageNavs);return result;}/*** 准备检索请求* 模糊匹配，过滤（按照属性，分类，品牌，价格区间，库存），排序，分页，高亮，聚合分析* @return*/private SearchRequest buildSearchRequest(SearchParam param) {SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();/*** 模糊匹配，过滤（按照属性，分类，品牌，价格区间，库存）*///1. 构建bool-queryBoolQueryBuilder boolQueryBuilder=new BoolQueryBuilder();//1.1 bool-mustif(!StringUtils.isEmpty(param.getKeyword())){boolQueryBuilder.must(QueryBuilders.matchQuery("skuTitle",param.getKeyword()));}//1.2 bool-fiter//1.2.1 catelogIdif(null != param.getCatalog3Id()){boolQueryBuilder.filter(QueryBuilders.termQuery("catalogId",param.getCatalog3Id()));}//1.2.2 brandIdif(null != param.getBrandId() && param.getBrandId().size() >0){boolQueryBuilder.filter(QueryBuilders.termsQuery("brandId",param.getBrandId()));}//1.2.3 attrsif(param.getAttrs() != null && param.getAttrs().size() > 0){param.getAttrs().forEach(item -> {//attrs=1_5寸:8寸&2_16G:8GBoolQueryBuilder boolQuery = QueryBuilders.boolQuery();//attrs=1_5寸:8寸String[] s = item.split("_");String attrId=s[0];String[] attrValues = s[1].split(":");//这个属性检索用的值boolQuery.must(QueryBuilders.termQuery("attrs.attrId",attrId));boolQuery.must(QueryBuilders.termsQuery("attrs.attrValue",attrValues));NestedQueryBuilder nestedQueryBuilder = QueryBuilders.nestedQuery("attrs",boolQuery, ScoreMode.None);boolQueryBuilder.filter(nestedQueryBuilder);});}//1.2.4 hasStockif(null != param.getHasStock()){boolQueryBuilder.filter(QueryBuilders.termQuery("hasStock",param.getHasStock() == 1));}//1.2.5 skuPriceif(!StringUtils.isEmpty(param.getSkuPrice())){//skuPrice形式为：1_500或_500或500_RangeQueryBuilder rangeQueryBuilder = QueryBuilders.rangeQuery("skuPrice");String[] price = param.getSkuPrice().split("_");if(price.length==2){rangeQueryBuilder.gte(price[0]).lte(price[1]);}else if(price.length == 1){if(param.getSkuPrice().startsWith("_")){rangeQueryBuilder.lte(price[1]);}if(param.getSkuPrice().endsWith("_")){rangeQueryBuilder.gte(price[0]);}}boolQueryBuilder.filter(rangeQueryBuilder);}//封装所有的查询条件searchSourceBuilder.query(boolQueryBuilder);/*** 排序，分页，高亮*///排序//形式为sort=hotScore_asc/descif(!StringUtils.isEmpty(param.getSort())){String sort = param.getSort();String[] sortFileds = sort.split("_");SortOrder sortOrder="asc".equalsIgnoreCase(sortFileds[1])?SortOrder.ASC:SortOrder.DESC;searchSourceBuilder.sort(sortFileds[0],sortOrder);}//分页searchSourceBuilder.from((param.getPageNum()-1)* EsConstant.PRODUCT_PAGESIZE);searchSourceBuilder.size(EsConstant.PRODUCT_PAGESIZE);//高亮if(!StringUtils.isEmpty(param.getKeyword())){HighlightBuilder highlightBuilder = new HighlightBuilder();highlightBuilder.field("skuTitle");highlightBuilder.preTags("<b style='color:red'>");highlightBuilder.postTags("</b>");searchSourceBuilder.highlighter(highlightBuilder);}/*** 聚合分析*///1. 按照品牌进行聚合TermsAggregationBuilder brandAgg = AggregationBuilders.terms("brand_agg");brandAgg.field("brandId").size(50);//1.1 品牌的子聚合-品牌名聚合brandAgg.subAggregation(AggregationBuilders.terms("brand_name_agg").field("brandName").size(1));//1.2 品牌的子聚合-品牌图片聚合brandAgg.subAggregation(AggregationBuilders.terms("brand_img_agg").field("brandImg").size(1));searchSourceBuilder.aggregation(brandAgg);//2. 按照分类信息进行聚合TermsAggregationBuilder catalogAgg = AggregationBuilders.terms("catalog_agg");catalogAgg.field("catalogId").size(20);catalogAgg.subAggregation(AggregationBuilders.terms("catalog_name_agg").field("catalogName").size(1));searchSourceBuilder.aggregation(catalogAgg);//2. 按照属性信息进行聚合NestedAggregationBuilder attrAgg = AggregationBuilders.nested("attr_agg", "attrs");//2.1 按照属性ID进行聚合TermsAggregationBuilder attrIdAgg = AggregationBuilders.terms("attr_id_agg").field("attrs.attrId");attrAgg.subAggregation(attrIdAgg);//2.1.1 在每个属性ID下，按照属性名进行聚合attrIdAgg.subAggregation(AggregationBuilders.terms("attr_name_agg").field("attrs.attrName").size(1));//2.1.1 在每个属性ID下，按照属性值进行聚合attrIdAgg.subAggregation(AggregationBuilders.terms("attr_value_agg").field("attrs.attrValue").size(50));searchSourceBuilder.aggregation(attrAgg);log.debug("构建的DSL语句 {}",searchSourceBuilder.toString());SearchRequest searchRequest = new SearchRequest(new String[]{EsConstant.PRODUCT_INDEX},searchSourceBuilder);return searchRequest;}
}

1. 依赖注入：

• @Autowired：自动注入RestHighLevelClient，这是Elasticsearch的Java高级REST客户端。

2. 搜索方法：

   • search(SearchParam param)：根据传入的搜索参数param执行搜索，并返回SearchResult对象。

3. 构建搜索请求：

   • buildSearchRequest(SearchParam param)：动态构建Elasticsearch的搜索请求，包括查询条件、排序、分页、高亮和聚合分析。

4. 构建搜索结果：

   • buildSearchResult(SearchResponse response, SearchParam param)：从Elasticsearch的响应中提取数据，并构建SearchResult对象。

5. 查询构建细节：

   • 使用BoolQueryBuilder来构建复合查询，包括必须匹配的条件（must）、过滤条件（filter）等。
   • 对于每个搜索参数，如关键字、分类ID、品牌ID、属性、库存、价格区间等，都有相应的查询构建逻辑。

6. 高亮显示：

   • 如果搜索包含关键字，则使用HighlightBuilder来高亮显示匹配的文本。

7. 排序和分页：

   • 根据参数设置排序字段和顺序。
   • 设置分页的页码和每页大小。

8. 聚合分析：

   • 对品牌、分类和属性进行聚合分析，以便于在搜索结果的侧边栏展示统计信息。

六，183-商城业务-检索服务-验证结果封装正确性

在首页搜索框输入“华为”，点击搜索，跳转到搜索页面，后端会执行ES检索，查看日志，判断接口响应结果是否符合预期。