https://www.bilibili.com/video/BV1np4y1C7Yf?p=182&vd_source=d9a52d82a1f11ceeeb7021c93269e8d2

商城搜索DSL

{"query": {"bool": {"must": [{"match": {"skuTitle": "华为"}}],"filter": [{"range": { //价格区间过滤"skuPrice": [{"gte": 0,"lte": 6000}]}},{"term": { //是否有货"hasStock": true}},{"terms": { //品牌过滤，多选"brandId": [1,2,9]}},{"term": {"catalogId": 225}},{"nested": { // 属性值搜索 ，比如：机身内存：128G,64G,如果多个属性值，需要多个nested查询"path": "attrs","query": {"bool": {"must": [{"term": {"attrs.attrId": 15}},{"terms": {"attrs.attrValue": ["海思（Hisilicon）","以官网信息为准"]}}]}}}}]}},"sort": [{"skuPrice": {"order": "desc"}}],"highlight": { //关键字高亮"pre_tags": ["<span style='color:red'>"],"post_tags": ["</span>"],"fields": {"skuTitle": {}}},"aggs": {"brand_group": { //品牌聚合"terms": {"field": "brandId","size": 10},"aggs": {"brandNameGroup": { //子聚合，品牌名字"terms": {"field": "brandName"}},"brandImgGroup": { //子聚合，品牌图片"terms": {"field": "brandImg"}}}},"catalog_group": { //分类聚合"terms": {"field": "catalogId","size": 10},"aggs": { //子聚合，分类名称"catalogNameGroup": {"terms": {"field": "catalogName"}}}},"attrs_group": {   //属性值聚合"nested": {"path": "attrs"},"aggs": {"attrIdGroup": {   //根据属性值来分组"terms": {"field": "attrs.attrId","size": 10},"aggs": {"attrNameGroup": {  //属性名比如CUP型号"terms": {"field": "attrs.attrName","size": 10}},"attrValGroup": {  //属性名比如A15，骁龙888，麒麟9000"terms": {"field": "attrs.attrValue","size": 10}}}}}}},"from": 0,"size": 10
}

请求参数

@Data
public class SearchParam {/*** 页面传递过来的全文匹配关键字*/private String keyword;/*** 品牌id,可以多选*/private List<Long> brandId;/*** 三级分类id*/private Long catalog3Id;/*** 排序条件：sort=price/salecount/hotscore_desc/asc*/private String sort;/*** 是否显示有货*/private Integer hasStock;/*** 价格区间查询*/private String skuPrice;/*** 按照属性进行筛选*/private List<String> attrs;/*** 页码*/private Integer pageNum = 1;/*** 原生的所有查询条件*/private String _queryString;}

DSL转换的java代码和结果


import com.alibaba.fastjson.JSON;
import com.alibaba.fastjson.TypeReference;
import com.xunqi.common.es.SkuEsModel;
import com.xunqi.common.utils.R;
import com.xunqi.gulimall.search.config.GulimallElasticSearchConfig;
import com.xunqi.gulimall.search.constant.EsConstant;
import com.xunqi.gulimall.search.service.MallSearchService;
import com.xunqi.gulimall.search.vo.AttrResponseVo;
import com.xunqi.gulimall.search.vo.SearchParam;
import com.xunqi.gulimall.search.vo.SearchResult;
import com.xunqi.gulimall.search.feign.ProductFeignService;
import lombok.extern.slf4j.Slf4j;
import org.apache.lucene.search.join.ScoreMode;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.index.query.BoolQueryBuilder;
import org.elasticsearch.index.query.NestedQueryBuilder;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.index.query.RangeQueryBuilder;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.aggregations.bucket.nested.NestedAggregationBuilder;
import org.elasticsearch.search.aggregations.bucket.nested.ParsedNested;
import org.elasticsearch.search.aggregations.bucket.terms.ParsedLongTerms;
import org.elasticsearch.search.aggregations.bucket.terms.ParsedStringTerms;
import org.elasticsearch.search.aggregations.bucket.terms.Terms;
import org.elasticsearch.search.aggregations.bucket.terms.TermsAggregationBuilder;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightField;
import org.elasticsearch.search.sort.SortOrder;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;
import org.springframework.util.StringUtils;import javax.annotation.Resource;
import java.io.IOException;
import java.io.UnsupportedEncodingException;
import java.net.URLEncoder;
import java.util.ArrayList;
import java.util.List;
import java.util.stream.Collectors;/*** @Description:* @Created: with IntelliJ IDEA.* @author: 夏沫止水* @createTime: 2020-06-13 14:19**/@Slf4j
@Service
public class MallSearchServiceImpl implements MallSearchService {@Autowiredprivate RestHighLevelClient esRestClient;@Resourceprivate ProductFeignService productFeignService;@Overridepublic SearchResult search(SearchParam param) {//1、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);//6、构建面包屑导航if (param.getAttrs() != null && param.getAttrs().size() > 0) {List<SearchResult.NavVo> collect = param.getAttrs().stream().map(attr -> {//1、分析每一个attrs传过来的参数值SearchResult.NavVo navVo = new SearchResult.NavVo();String[] s = attr.split("_");navVo.setNavValue(s[1]);R r = productFeignService.attrInfo(Long.parseLong(s[0]));if (r.getCode() == 0) {AttrResponseVo data = r.getData("attr", new TypeReference<AttrResponseVo>() {});navVo.setNavName(data.getAttrName());} else {navVo.setNavName(s[0]);}//2、取消了这个面包屑以后，我们要跳转到哪个地方，将请求的地址url里面的当前置空//拿到所有的查询条件，去掉当前String encode = null;try {encode = URLEncoder.encode(attr,"UTF-8");encode.replace("+","%20");  //浏览器对空格的编码和Java不一样，差异化处理} catch (UnsupportedEncodingException e) {e.printStackTrace();}String replace = param.get_queryString().replace("&attrs=" + attr, "");navVo.setLink("http://search.gulimall.com/list.html?" + replace);return navVo;}).collect(Collectors.toList());result.setNavs(collect);}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 brand_agg = AggregationBuilders.terms("brand_agg");brand_agg.field("brandId").size(50);//1.1 品牌的子聚合-品牌名聚合brand_agg.subAggregation(AggregationBuilders.terms("brand_name_agg").field("brandName").size(1));//1.2 品牌的子聚合-品牌图片聚合brand_agg.subAggregation(AggregationBuilders.terms("brand_img_agg").field("brandImg").size(1));searchSourceBuilder.aggregation(brand_agg);//2. 按照分类信息进行聚合TermsAggregationBuilder catalog_agg = AggregationBuilders.terms("catalog_agg");catalog_agg.field("catalogId").size(20);catalog_agg.subAggregation(AggregationBuilders.terms("catalog_name_agg").field("catalogName").size(1));searchSourceBuilder.aggregation(catalog_agg);//2. 按照属性信息进行聚合NestedAggregationBuilder attr_agg = AggregationBuilders.nested("attr_agg", "attrs");//2.1 按照属性ID进行聚合TermsAggregationBuilder attr_id_agg = AggregationBuilders.terms("attr_id_agg").field("attrs.attrId");attr_agg.subAggregation(attr_id_agg);//2.1.1 在每个属性ID下，按照属性名进行聚合attr_id_agg.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attr_id_agg.subAggregation(AggregationBuilders.terms("attr_value_agg").field("attrs.attrValue").size(50));searchSourceBuilder.aggregation(attr_agg);log.debug("构建的DSL语句 {}",searchSourceBuilder.toString());SearchRequest searchRequest = new SearchRequest(new String[]{EsConstant.PRODUCT_INDEX},searchSourceBuilder);return searchRequest;}
}

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商城搜索DSL elasticsearch 相关代码

商城搜索DSL

请求参数

DSL转换的java代码和结果

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