• 商城检索 DSL


    在这里插入图片描述

    • 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

    一. 搜索关键字在这里插入图片描述

    检索字段:商品sku标题

    “skuTitle” : “华为 HUAWEI Mate 30 Pro 亮黑色 8GB+256GB麒麟990旗舰芯片OLED环幕屏双4000万徕卡电影四摄4G全网通手机”

    bool复合查询,must必须,全文检索字段用 match,其他非 text 字段匹配用 term

    GET product/_search
    {
      "query": {
        "bool": {
          "must": [
            {
              "match": {
                "skuTitle": "华为"
              }
            }
          ]
        }
      }
    }
    
    • 1
    • 2
    • 3
    • 4
    • 5
    • 6
    • 7
    • 8
    • 9
    • 10
    • 11
    • 12
    • 13
    • 14

    二. 检索分类

    在这里插入图片描述
    检索字段:分类id

    “catalogId” : 225

    match会计算热度评分,filter不计算分数效率更快,所有把不需要热度评分的字段放大filter
    全文检索字段用 match,其他非 text 字段匹配用 term

    GET product/_search
    {
      "query": {
        "bool": {
          "must": [
            {
              "match": {
                "skuTitle": "华为"
              }
            }
          ],
          "filter": {
            "term": {
              "catalogId": "225"
            }
          }
        }
      }
    }
    
    • 1
    • 2
    • 3
    • 4
    • 5
    • 6
    • 7
    • 8
    • 9
    • 10
    • 11
    • 12
    • 13
    • 14
    • 15
    • 16
    • 17
    • 18
    • 19

    三. 检索品牌

    在这里插入图片描述
    品牌是可以多选的,检索条件为品牌id的集合
    terms等价于mysql 的 in()

    检索字段:品牌Id

    “brandId” : 9

    GET product/_search
    {
      "query": {
        "bool": {
          "must": [
            {
              "match": {
                "skuTitle": "华为"
              }
            }
          ],
          "filter": [
            {
              "term": {
                "catalogId": "225"
              }
            },
            {
              "terms": {
                "brandId": [
                  "1",
                  "2",
                  "9"
                ]
              }
            }
          ]
        }
      }
    }
    
    
    • 1
    • 2
    • 3
    • 4
    • 5
    • 6
    • 7
    • 8
    • 9
    • 10
    • 11
    • 12
    • 13
    • 14
    • 15
    • 16
    • 17
    • 18
    • 19
    • 20
    • 21
    • 22
    • 23
    • 24
    • 25
    • 26
    • 27
    • 28
    • 29
    • 30
    • 31

    四. 检索属性

    : attrId----------attrValue
    在这里插入图片描述属性可多选
    查询attrs属性下嵌入的属性attr_id需要使用nested 嵌套查询

    "attrs" : [
                {
                  "attrId" : 15,
                  "attrName" : "CPU品牌",
                  "attrValue" : "高通(Qualcomm)"
                },
                {
                  "attrId" : 16,
                  "attrName" : "CPU型号",
                  "attrValue" : "骁龙855"
                }
              ]
    
    • 1
    • 2
    • 3
    • 4
    • 5
    • 6
    • 7
    • 8
    • 9
    • 10
    • 11
    • 12

    检索字段:属性id、属性值

    “attrId” : 15,
    “attrValue” : “高通(Qualcomm)”

    GET product/_search
    {
      "query": {
        "bool": {
          "must": [
            {
              "match": {
                "skuTitle": "华为"
              }
            }
          ],
          "filter": [
            {
              "term": {
                "catalogId": "225"
              }
            },
            {
              "terms": {
                "brandId": [
                  "1",
                  "2",
                  "9"
                ]
              }
            },
            {
            "nested": {
              "path": "attrs",
              "query": {
                "bool": {
                  "must": [
                    {
                      "term": {
                        "attrs.attrId": {
                          "value": "15"
                        }
                      }
                    },
                    {
                      "terms": {
                        "attrs.attrValue": [
                          "高通(Qualcomm)",
                          "以官网信息为准"
                        ]
                      }
                    }
                  ]
                }
              }
            }
          }
          ]
        }
      }
    }
    
    • 1
    • 2
    • 3
    • 4
    • 5
    • 6
    • 7
    • 8
    • 9
    • 10
    • 11
    • 12
    • 13
    • 14
    • 15
    • 16
    • 17
    • 18
    • 19
    • 20
    • 21
    • 22
    • 23
    • 24
    • 25
    • 26
    • 27
    • 28
    • 29
    • 30
    • 31
    • 32
    • 33
    • 34
    • 35
    • 36
    • 37
    • 38
    • 39
    • 40
    • 41
    • 42
    • 43
    • 44
    • 45
    • 46
    • 47
    • 48
    • 49
    • 50
    • 51
    • 52
    • 53
    • 54
    • 55
    • 56

    五. 检索库存、排序、价格区间、分页

    查询是否有库存
    在这里插入图片描述
    排序
    在这里插入图片描述

    查询价格区间
    在这里插入图片描述
    分页
    from从第几页开始,size查询几天记录
    在这里插入图片描述

    六.修改映射

    {
      "gulimall_product" : {
        "mappings" : {
          "properties" : {
            "attrs" : {
              "type" : "nested",
              "properties" : {
                "attrId" : {
                  "type" : "long"
                },
                "attrName" : {
                  "type" : "keyword"
                },
                "attrValue" : {
                  "type" : "keyword"
                }
              }
            },
            "brandId" : {
              "type" : "long"
            },
            "brandImg" : {
              "type" : "keyword"
            },
            "brandName" : {
              "type" : "keyword"
            },
            "catalogId" : {
              "type" : "long"
            },
            "catalogName" : {
              "type" : "keyword"
            },
            "hasStock" : {
              "type" : "boolean"
            },
            "hotScore" : {
              "type" : "long"
            },
            "saleCount" : {
              "type" : "long"
            },
            "skuId" : {
              "type" : "long"
            },
            "skuImg" : {
              "type" : "keyword"
            },
            "skuPrice" : {
              "type" : "keyword"
            },
            "skuTitle" : {
              "type" : "text",
              "analyzer" : "ik_smart"
            },
            "spuId" : {
              "type" : "keyword"
            }
          }
        }
      }
    }
    
    • 1
    • 2
    • 3
    • 4
    • 5
    • 6
    • 7
    • 8
    • 9
    • 10
    • 11
    • 12
    • 13
    • 14
    • 15
    • 16
    • 17
    • 18
    • 19
    • 20
    • 21
    • 22
    • 23
    • 24
    • 25
    • 26
    • 27
    • 28
    • 29
    • 30
    • 31
    • 32
    • 33
    • 34
    • 35
    • 36
    • 37
    • 38
    • 39
    • 40
    • 41
    • 42
    • 43
    • 44
    • 45
    • 46
    • 47
    • 48
    • 49
    • 50
    • 51
    • 52
    • 53
    • 54
    • 55
    • 56
    • 57
    • 58
    • 59
    • 60
    • 61
    • 62

    七.动态聚合

    根据检索的条件,查到数据后,根据结果聚合,动态的展示搜索的属性内容
    例:如何搜索了机身内存 128G,那么刷新页面后就不会展示机身内存这一栏属性
    在这里插入图片描述

    在这里插入图片描述

    聚合terms
    聚合中的terms 会按照字段的值来分类,结果使用doc_count展示

    比如性别有男、女,就会创建两个桶,分别存放男女的信息。默认会搜集doc_count的信息,即记录有多少男生,有多少女生,然后返回给客户端,这样就完成了一个terms得统计。

    //GET gulimall_product/_search
    {
      "query": {
        "bool": {
          "must": [
            {
              "match": {
                "skuTitle": "华为"
              }
            }
          ],
          "filter": [
            {
              "term": {
                "catalogId": "225"
              }
            },
            {
              "terms": {
                "brandId": [
                  "1",
                  "2",
                  "9"
                ]
              }
            },
            {
              "nested": {
                "path": "attrs",
                "query": {
                  "bool": {
                    "must": [
                      {
                        "term": {
                          "attrs.attrId": {
                            "value": "15"
                          }
                        }
                      },
                      {
                        "terms": {
                          "attrs.attrValue": [
                            "高通(Qualcomm)",
                            "以官网信息为准"
                          ]
                        }
                      }
                    ]
                  }
                }
              }
            },
            {
              "term": {
                "hasStock": {
                  "value": "false"
                }
              }
            },
            {
              "range": {
                "skuPrice": {
                  "gte": 0,
                  "lte": 6000
                }
              }
            }
          ]
        }
      },
      "sort": [
        {
          "skuPrice": {
            "order": "desc"
          }
        }
      ],
      "from": 0,
      "size": 1,
      "highlight": {
        "fields": {
          "skuTitle": {}
        },
        "pre_tags": "",
        "post_tags": ""
      },
      "aggs": {
        "brand_agg": {
          "terms": {
            "field": "brandId",
            "size": 10
          },
          "aggs": {
            "brand_name_agg": {
              "terms": {
                "field": "brandName",
                "size": 10
              }
            },
            "brand_img_agg": {
              "terms": {
                "field": "brandImg",
                "size": 10
              }
            }
          }
        },
        "catalog_agg": {
          "terms": {
            "field": "catalogId",
            "size": 10
          },
          "aggs": {
            "catalog_name_agg": {
              "terms": {
                "field": "catalogName",
                "size": 10
              }
            }
          }
        },
        "attr_agg": {
          "nested": {
            "path": "attrs"
          },
          "aggs": {
            "attr_id_agg": {
              "terms": {
                "field": "attrs.attrId",
                "size": 10
              },
              "aggs": {
                "attr_name_agg": {
                  "terms": {
                    "field": "attrs.attrName",
                    "size": 10
                  }
                },
                "attr_value_agg": {
                  "terms": {
                    "field": "attrs.attrValue",
                    "size": 10
                  }
                }
              }
            }
          }
        }
      }
    }
    
    
    • 1
    • 2
    • 3
    • 4
    • 5
    • 6
    • 7
    • 8
    • 9
    • 10
    • 11
    • 12
    • 13
    • 14
    • 15
    • 16
    • 17
    • 18
    • 19
    • 20
    • 21
    • 22
    • 23
    • 24
    • 25
    • 26
    • 27
    • 28
    • 29
    • 30
    • 31
    • 32
    • 33
    • 34
    • 35
    • 36
    • 37
    • 38
    • 39
    • 40
    • 41
    • 42
    • 43
    • 44
    • 45
    • 46
    • 47
    • 48
    • 49
    • 50
    • 51
    • 52
    • 53
    • 54
    • 55
    • 56
    • 57
    • 58
    • 59
    • 60
    • 61
    • 62
    • 63
    • 64
    • 65
    • 66
    • 67
    • 68
    • 69
    • 70
    • 71
    • 72
    • 73
    • 74
    • 75
    • 76
    • 77
    • 78
    • 79
    • 80
    • 81
    • 82
    • 83
    • 84
    • 85
    • 86
    • 87
    • 88
    • 89
    • 90
    • 91
    • 92
    • 93
    • 94
    • 95
    • 96
    • 97
    • 98
    • 99
    • 100
    • 101
    • 102
    • 103
    • 104
    • 105
    • 106
    • 107
    • 108
    • 109
    • 110
    • 111
    • 112
    • 113
    • 114
    • 115
    • 116
    • 117
    • 118
    • 119
    • 120
    • 121
    • 122
    • 123
    • 124
    • 125
    • 126
    • 127
    • 128
    • 129
    • 130
    • 131
    • 132
    • 133
    • 134
    • 135
    • 136
    • 137
    • 138
    • 139
    • 140
    • 141
    • 142
    • 143
    • 144
    • 145
    • 146
    • 147
    • 148
    • 149
    • 150
    • 151

    八.后端构建DSL

    //构建dsl语句
        private SearchRequest buildSearchRequest(SearchParam searchParam){
            SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
    
            //最外层bool
            BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();
            /**
             * 1.must
             */
            if (!StringUtils.isEmpty(searchParam.getKeyword())){
                boolQueryBuilder.must(QueryBuilders.matchQuery("skuTitle",searchParam.getKeyword()));
            }
            /**
             * 2.filter
             */
            //分类
            if (searchParam.getCatalog3Id() != null){
                boolQueryBuilder.filter(QueryBuilders.termQuery("catalogId",searchParam.getCatalog3Id()));
            }
            //品牌
            if (null != searchParam.getBrand_id() && searchParam.getBrand_id().size() > 0){
                boolQueryBuilder.filter(QueryBuilders.termsQuery("brandId",searchParam.getBrand_id()));
            }
            //属性
            if (searchParam.getAttrs() != null && searchParam.getAttrs().size() > 0){
                //带多少值就有多少NestedQueryBuilder
                //attrs=1_5寸:8寸 & attrs=2_16G:8G
                for (String attrStr : searchParam.getAttrs()) {
                    BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();
                    //"attrs.attrId"
                    String[] s = attrStr.split("_");//[1,5寸:8寸]
                    //"attrs.attrValue"
                    String[] split = s[1].split(":");//[5寸,8寸]
                    //query
                    boolQuery.must(QueryBuilders.termQuery("attrs.attrId", s[0]));
                    boolQuery.must(QueryBuilders.termsQuery("attrs.attrValue",split));
                    //nestedQuery(String path, QueryBuilder query, ScoreMode scoreMode)
                    NestedQueryBuilder nestedQueryBuilder = QueryBuilders.nestedQuery("attrs", boolQuery, ScoreMode.None);
                    boolQueryBuilder.filter(nestedQueryBuilder);
                }
            }
            //是否库存
            if (searchParam.getHasStock() != null){
                //传0,1,  es存的bool
                boolQueryBuilder.filter(QueryBuilders.termQuery("hasStock",searchParam.getHasStock()==1));
            }
            //价格区间
            if (!StringUtils.isEmpty(searchParam.getSkuPrice())){
                RangeQueryBuilder rangeQueryBuilder = new RangeQueryBuilder("skuPrice");
                //1_500/_500/500_
                String[] s = searchParam.getSkuPrice().split("_");
                //_500
                if (searchParam.getSkuPrice().startsWith("_")){
                    rangeQueryBuilder.lte(s[1]);
                }
                //500_
                if (searchParam.getSkuPrice().endsWith("_")){
                    rangeQueryBuilder.gte(s[0]);
                }
                //1_500
                if (s.length == 2 && StringUtils.isNotBlank(s[0])&&StringUtils.isNotBlank(s[1])){
                    rangeQueryBuilder.gte(s[0]).lte(s[1]);
                }
                boolQueryBuilder.filter(rangeQueryBuilder);
            }
            //封装全部查询条件
            searchSourceBuilder.query(boolQueryBuilder);
    
            /**
             * 3.排序、分页、高亮
             */
            //排序
            if (!StringUtils.isEmpty(searchParam.getSort())){
                //根据热点评分排序sort=hotScore_asc/desc
                String[] s = searchParam.getSort().split("_");
                SortOrder sortOrder = s[1].equalsIgnoreCase("asc") ? SortOrder.ASC: SortOrder.DESC;
                searchSourceBuilder.sort(s[0],sortOrder);
            }
            //分页
            //from = (pageNum - 1) * pageSize
            searchSourceBuilder.from((searchParam.getPageNum() - 1) * EsConstant.GULIMALL_PRODUCT_PAGESIZE);
            searchSourceBuilder.size(EsConstant.GULIMALL_PRODUCT_PAGESIZE);
            //高亮
            if (!StringUtils.isEmpty(searchParam.getKeyword())){
                HighlightBuilder highlightBuilder = new HighlightBuilder();
                highlightBuilder.field("skuTitle");
                highlightBuilder.preTags("");
                highlightBuilder.postTags("");
                searchSourceBuilder.highlighter(highlightBuilder);
            }
    
            /**
             * 4.聚合
             */
            //brand_agg
            TermsAggregationBuilder aggregationBuilder1 = AggregationBuilders.terms("brand_agg").field("brandId").size(50);
            aggregationBuilder1.subAggregation(AggregationBuilders.terms("brand_name_agg").field("brandName").size(1));
            aggregationBuilder1.subAggregation(AggregationBuilders.terms("brand_img_agg").field("brandImg").size(1));
            searchSourceBuilder.aggregation(aggregationBuilder1);
            //catalog_agg
            TermsAggregationBuilder aggregationBuilder2 = AggregationBuilders.terms("catalog_agg").field("catalogId").size(20);
            aggregationBuilder2.subAggregation(AggregationBuilders.terms("catalog_name_agg").field("catalogName").size(1));
            searchSourceBuilder.aggregation(aggregationBuilder2);
            //attr_agg
            NestedAggregationBuilder nested = AggregationBuilders.nested("attr_agg", "attrs");
            TermsAggregationBuilder attr_id_agg = AggregationBuilders.terms("attr_id_agg").field("attrs.attrId").size(10);
            nested.subAggregation(attr_id_agg);
            attr_id_agg.subAggregation(AggregationBuilders.terms("attr_name_agg").field("attrs.attrName").size(1));
            attr_id_agg.subAggregation(AggregationBuilders.terms("attr_value_agg").field("attrs.attrValue").size(50));
            searchSourceBuilder.aggregation(nested);
    
            System.out.println("DSL测试成功:" + searchSourceBuilder.toString());
    
            //返回数据
            //SearchRequest(String[] indices, SearchSourceBuilder source) {
            SearchRequest searchRequest = new SearchRequest(new String[]{EsConstant.GULIMALL_PRODUCT_INDEX},searchSourceBuilder);
            return  searchRequest;
        }
    
    • 1
    • 2
    • 3
    • 4
    • 5
    • 6
    • 7
    • 8
    • 9
    • 10
    • 11
    • 12
    • 13
    • 14
    • 15
    • 16
    • 17
    • 18
    • 19
    • 20
    • 21
    • 22
    • 23
    • 24
    • 25
    • 26
    • 27
    • 28
    • 29
    • 30
    • 31
    • 32
    • 33
    • 34
    • 35
    • 36
    • 37
    • 38
    • 39
    • 40
    • 41
    • 42
    • 43
    • 44
    • 45
    • 46
    • 47
    • 48
    • 49
    • 50
    • 51
    • 52
    • 53
    • 54
    • 55
    • 56
    • 57
    • 58
    • 59
    • 60
    • 61
    • 62
    • 63
    • 64
    • 65
    • 66
    • 67
    • 68
    • 69
    • 70
    • 71
    • 72
    • 73
    • 74
    • 75
    • 76
    • 77
    • 78
    • 79
    • 80
    • 81
    • 82
    • 83
    • 84
    • 85
    • 86
    • 87
    • 88
    • 89
    • 90
    • 91
    • 92
    • 93
    • 94
    • 95
    • 96
    • 97
    • 98
    • 99
    • 100
    • 101
    • 102
    • 103
    • 104
    • 105
    • 106
    • 107
    • 108
    • 109
    • 110
    • 111
    • 112
    • 113
    • 114
    • 115
    • 116
    • 117
    • 118

    九. DSL返回结果封装

    	  /**
    	   * 通过 首页检索条件 或 分类  查询页面
    	   */
    	@Override
    	public SearchResult search(SearchParam searchParam) throws IOException {
    	    //构建DSL
    	    SearchRequest searchRequest = buildSearchRequest(searchParam);
    	
    	    SearchResult searchResult = null;
    	    try {
    	        //发送检索请求
    	        SearchResponse searchResponse = client.search(searchRequest, GulimallElasticSearchConfig.COMMON_OPTIONS);
    	        //分析响应数据,转换成需要的格式
    	        searchResult = buildSearchResult(searchResponse,searchParam);
    	    } catch (IOException e) {
    	        e.printStackTrace();
    	    }
    	    return searchResult;
    	}
    
    	private SearchResult buildSearchResult(SearchResponse searchResponse,SearchParam param) {
            SearchResult result = new SearchResult();
    
            SearchHits hits = searchResponse.getHits();
            List<SkuEsModel> modelList = new ArrayList<>();
            SearchHit[] hitArray = hits.getHits();
            for (SearchHit documentFields : hitArray) {
                String string = documentFields.getSourceAsString();
                SkuEsModel skuEsModel = JSON.parseObject(string, SkuEsModel.class);
                modelList.add(skuEsModel);
    
                //高亮
                if (!StringUtils.isEmpty(param.getKeyword())){
                    //如果传了检索条件,我们的结果才使用高亮
                    HighlightField skuTitle = documentFields.getHighlightFields().get("skuTitle");
                    Text[] fragments = skuTitle.fragments();
                    String s = fragments[0].toString();
                    skuEsModel.setSkuTitle(s);
                }
    
            }
            //查询所有商品信息
            result.setProducts(modelList);
    
            //分页信息
            long total = hits.getTotalHits().value;
            result.setPageNum(param.getPageNum());
            result.setTotal(total);
            //总页码计算:10/2 5 totalPage=5 , 11/2=5..1
            int count = (int)total / (int)EsConstant.GULIMALL_PRODUCT_PAGESIZE;
            result.setTotalPages(total % EsConstant.GULIMALL_PRODUCT_PAGESIZE == 0 ? count : ++count);
    
            Aggregations aggregations = searchResponse.getAggregations();
            //品牌信息
            List<SearchResult.BrandVo> brands = new ArrayList<>();
            ParsedLongTerms brand_agg = aggregations.get("brand_agg");
            for (Terms.Bucket bucket : brand_agg.getBuckets()) {
                SearchResult.BrandVo brandVo = new SearchResult.BrandVo();
                //brandId
                long brandId = bucket.getKeyAsNumber().longValue();
                brandVo.setBrandId(brandId);
                //brandName
                ParsedStringTerms brand_name_agg = bucket.getAggregations().get("brand_name_agg");
                String brand_name = brand_name_agg.getBuckets().get(0).getKeyAsString();
                brandVo.setBrandName(brand_name);
                //brandImg
                ParsedStringTerms brand_img_agg = bucket.getAggregations().get("brand_img_agg");
                String brand_img   = brand_img_agg.getBuckets().get(0).getKeyAsString();
                brandVo.setBrandImg(brand_img);
                brands.add(brandVo);
            }
            result.setBrands(brands);
    
            //分类信息
            List<SearchResult.CatalogVo> catalogVoList = new ArrayList<>();
            ParsedLongTerms catalog_agg = aggregations.get("catalog_agg");
            for (Terms.Bucket bucket : catalog_agg.getBuckets()) {
                SearchResult.CatalogVo catalogVo = new SearchResult.CatalogVo();
                //catalogId
                catalogVo.setCatalogId(Long.parseLong(bucket.getKeyAsString()));
                //catalogName
                ParsedStringTerms catalog_name_agg = bucket.getAggregations().get("catalog_name_agg");
                String catalogName = catalog_name_agg.getBuckets().get(0).getKeyAsString();
                catalogVo.setCatalogName(catalogName);
                catalogVoList.add(catalogVo);
            }
            result.setCatalogs(catalogVoList);
    
            //属性信息
            List<SearchResult.AttrVo> attrs = new ArrayList<>();
            ParsedNested attr_agg = aggregations.get("attr_agg");
            ParsedLongTerms attr_id_agg = attr_agg.getAggregations().get("attr_id_agg");
            for (Terms.Bucket bucket : attr_id_agg.getBuckets()) {
                SearchResult.AttrVo attrVo = new SearchResult.AttrVo();
                Long attrId = bucket.getKeyAsNumber().longValue();
                //attrId
                attrVo.setAttrId(attrId);
                //attrName
                ParsedStringTerms attr_name_agg = bucket.getAggregations().get("attr_name_agg");
                String attrName = attr_name_agg.getBuckets().get(0).getKeyAsString();
                attrVo.setAttrName(attrName);
                //attrValue
                ParsedStringTerms attr_value_agg = bucket.getAggregations().get("attr_value_agg");
                List<String> collect = attr_value_agg.getBuckets().stream().map(item -> {
                    return item.getKeyAsString();
                }).collect(Collectors.toList());
    
                attrVo.setAttrValue(collect);
    
                attrs.add(attrVo);
            }
            result.setAttrs(attrs);
    
            //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]));
                    result.getAttrIds().add(Long.parseLong(s[0]));
                    if (r.getCode() == 0) {
                        AttrResponseVo data = (AttrResponseVo)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 replace = replaceQueryString(param, attr,"attrs");
                    navVo.setLink("http://search.gulimall.com/list.html?" + replace);
    
                    return navVo;
                }).collect(Collectors.toList());
    
                result.setNavs(collect);
            }
            //品牌分类
            if (param.getBrand_id() != null && param.getBrand_id().size() > 0){
                List<SearchResult.NavVo> navs = result.getNavs();
                SearchResult.NavVo navVo = new SearchResult.NavVo();
                navVo.setNavName("品牌");
                //TODO 远程查所有品牌
                R r = productFeignService.brandsInfo(param.getBrand_id());
                if (r.getCode() == 0){
                    List<BrandVo> brand =  (List<BrandVo>)r.getData("brand",new TypeReference<List<BrandVo>>(){});
                    StringBuffer buffer = new StringBuffer();
                    String replace = "";
                    for (BrandVo brandVo : brand) {
                        buffer.append(brandVo.getBrandName()+";");
                        replace = replaceQueryString(param, brandVo.getBrandId()+"","brandId");
    
                    }
                    navVo.setNavValue(buffer.toString());
                    navVo.setLink("http://search.gulimall.com/list.html?" + replace);
                }
                navs.add(navVo);
    
            }
    
            return result;
        }
    
    • 1
    • 2
    • 3
    • 4
    • 5
    • 6
    • 7
    • 8
    • 9
    • 10
    • 11
    • 12
    • 13
    • 14
    • 15
    • 16
    • 17
    • 18
    • 19
    • 20
    • 21
    • 22
    • 23
    • 24
    • 25
    • 26
    • 27
    • 28
    • 29
    • 30
    • 31
    • 32
    • 33
    • 34
    • 35
    • 36
    • 37
    • 38
    • 39
    • 40
    • 41
    • 42
    • 43
    • 44
    • 45
    • 46
    • 47
    • 48
    • 49
    • 50
    • 51
    • 52
    • 53
    • 54
    • 55
    • 56
    • 57
    • 58
    • 59
    • 60
    • 61
    • 62
    • 63
    • 64
    • 65
    • 66
    • 67
    • 68
    • 69
    • 70
    • 71
    • 72
    • 73
    • 74
    • 75
    • 76
    • 77
    • 78
    • 79
    • 80
    • 81
    • 82
    • 83
    • 84
    • 85
    • 86
    • 87
    • 88
    • 89
    • 90
    • 91
    • 92
    • 93
    • 94
    • 95
    • 96
    • 97
    • 98
    • 99
    • 100
    • 101
    • 102
    • 103
    • 104
    • 105
    • 106
    • 107
    • 108
    • 109
    • 110
    • 111
    • 112
    • 113
    • 114
    • 115
    • 116
    • 117
    • 118
    • 119
    • 120
    • 121
    • 122
    • 123
    • 124
    • 125
    • 126
    • 127
    • 128
    • 129
    • 130
    • 131
    • 132
    • 133
    • 134
    • 135
    • 136
    • 137
    • 138
    • 139
    • 140
    • 141
    • 142
    • 143
    • 144
    • 145
    • 146
    • 147
    • 148
    • 149
    • 150
    • 151
    • 152
    • 153
    • 154
    • 155
    • 156
    • 157
    • 158
    • 159
    • 160
    • 161
    • 162
    • 163
    • 164
    • 165
  • 相关阅读:
    低功耗蓝牙物联网:未来连接的无限可能
    674. 最长连续递增序列
    分治算法- 递归的分析
    我们的商城首页卡死了。。。
    Linux 常用操作
    Spring Cloud(八):Spring Cloud Alibaba Seata 2PC、AT、XA、TCC
    一个简单的iOS天气应用程序源码
    Klocwork 2023.2 windows
    Linux云服务环境安装-Nginx篇
    基于Mxnet实现语义分割-整体多模型【完整、附部分源码】
  • 原文地址:https://blog.csdn.net/weixin_44847885/article/details/131091325