Elasticsearch使用范例

╰半夏微凉° 2022-12-08 14:29 225阅读 0赞

package com.changgou.search.service.impl;
    
    import com.alibaba.fastjson.JSON;
    import com.changgou.goods.feign.SkuFeign;
    import com.changgou.goods.pojo.Sku;
    import com.changgou.search.dao.SkuEsMapper;
    import com.changgou.search.pojo.SkuInfo;
    import com.changgou.search.service.SearchResultMapperImpl;
    import com.changgou.search.service.SkuService;
    import entity.Result;
    import org.elasticsearch.action.search.SearchResponse;
    import org.elasticsearch.index.query.BoolQueryBuilder;
    import org.elasticsearch.index.query.QueryBuilders;
    import org.elasticsearch.search.aggregations.Aggregation;
    import org.elasticsearch.search.aggregations.AggregationBuilders;
    import org.elasticsearch.search.aggregations.bucket.terms.StringTerms;
    import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
    import org.elasticsearch.search.sort.SortBuilders;
    import org.elasticsearch.search.sort.SortOrder;
    import org.springframework.beans.BeanUtils;
    import org.springframework.beans.factory.annotation.Autowired;
    import org.springframework.data.domain.PageRequest;
    import org.springframework.data.domain.Pageable;
    import org.springframework.data.elasticsearch.core.ElasticsearchTemplate;
    import org.springframework.data.elasticsearch.core.SearchResultMapper;
    import org.springframework.data.elasticsearch.core.aggregation.AggregatedPage;
    import org.springframework.data.elasticsearch.core.query.NativeSearchQuery;
    import org.springframework.data.elasticsearch.core.query.NativeSearchQueryBuilder;
    import org.springframework.data.elasticsearch.core.query.SearchQuery;
    import org.springframework.stereotype.Service;
    import org.springframework.util.StringUtils;
    
    import javax.swing.*;
    import java.util.*;
    
    @Service
    public class SkuServiceImpl implements SkuService {
    
    
        @Autowired
        private SkuFeign skuFeign;
    
        @Autowired
        private SkuEsMapper skuEsMapper;
    
        @Autowired
        private ElasticsearchTemplate elasticsearchTemplate;
    
    
        @Override
        public void importEs() {
            //1.调用 goods微服务的fegin 查询 符合条件的sku的数据
            Result<List<Sku>> skuResult = skuFeign.findByStatus("1");
            List<Sku> data = skuResult.getData();//sku的列表
            //将sku的列表 转换成es中的skuinfo的列表
            List<SkuInfo> skuInfos = JSON.parseArray(JSON.toJSONString(data), SkuInfo.class);
            for (SkuInfo skuInfo : skuInfos) {
                //获取规格的数据  {"电视音响效果":"立体声","电视屏幕尺寸":"20英寸","尺码":"165"}
    
                //转成MAP  key: 规格的名称  value:规格的选项的值
                Map<String, Object> map = JSON.parseObject(skuInfo.getSpec(), Map.class);
                skuInfo.setSpecMap(map);
            }
    
    
            // 2.调用spring data elasticsearch的API 导入到ES中
            skuEsMapper.saveAll(skuInfos);
        }
    
    
        /**
         *
         * @param searchMap
         * key:
         *      category     商品分类的过滤查询
         *
         *      brand        商品品牌的过滤查询   TCL
         *
         *      spec_规格的名称   value  规格的值      规格相关
         *
         *      price           value 价格区间的字符串 0-500   3000-*
         *
         *
         *      pageNum   当前的页码
         *      pageSize  不用传递   (写死)
         *
         *
         *      sortField  要排序的字段  price
         *      sortRule   要排序的规则 (ASC DESC)
         *
         *
         * @return
         */
    
        @Override
        public Map search(Map<String, String> searchMap) {
            //1.获取到关键字
            String keywords = searchMap.get("keywords");
    
            //2.判断是否为空 如果 为空 给一个默认 值:华为
            if (StringUtils.isEmpty(keywords)) {
                keywords = "华为";
            }
            //3.创建 查询构建对象
            NativeSearchQueryBuilder nativeSearchQueryBuilder = new NativeSearchQueryBuilder();
            //4.设置 查询的条件
    
            // 4.1 商品分类的列表展示: 按照商品分类的名称来分组
            //terms  指定分组的一个别名
            //field 指定要分组的字段名
            //size 指定查询结果的数量 默认是10个
            nativeSearchQueryBuilder.addAggregation(AggregationBuilders.terms("skuCategorygroup").field("categoryName").size(50));
    
            //4.2 商品的品牌的列表展示  按照商品品牌来进行分组
            nativeSearchQueryBuilder.addAggregation(AggregationBuilders.terms("skuBrandgroup").field("brandName").size(100));
    
            //4.3 商品的规格的列表展示   按照商品的规格的字段spec 进行分组
            //规则 要求 字段 是一个keyword类型的  spec.keyword
            nativeSearchQueryBuilder.addAggregation(AggregationBuilders.terms("skuSpecgroup").field("spec.keyword").size(500));
    
    
            //4.4 设置高亮的字段 设置前缀 和 后缀
    
            //设置高亮的字段 针对 商品的名称进行高亮
            nativeSearchQueryBuilder.withHighlightFields(new HighlightBuilder.Field("name"));
            //设置前缀 和 后缀
            nativeSearchQueryBuilder.withHighlightBuilder(new HighlightBuilder().preTags("<em style=\"color:red\">").postTags("</em>"));
    
    
    
    
            //匹配查询  先分词 再查询  主条件查询
            //参数1 指定要搜索的字段
            //参数2 要搜索的值(先分词 再搜索)
            //nativeSearchQueryBuilder.withQuery(QueryBuilders.matchQuery("name", keywords));
            //从多个字段中搜索数据
            nativeSearchQueryBuilder.withQuery(QueryBuilders.multiMatchQuery(keywords,"name","categoryName","brandName"));
    
    
    
            //========================过滤查询 开始=====================================
    
            BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();
    
            //4.4 过滤查询的条件设置   商品分类的条件
            String category = searchMap.get("category");
    
            if(!StringUtils.isEmpty(category)) {
                boolQueryBuilder.filter(QueryBuilders.termQuery("categoryName", category));
            }
            //4.5 过滤查询的条件设置   商品品牌的条件
            String brand = searchMap.get("brand");
    
            if(!StringUtils.isEmpty(brand)) {
                boolQueryBuilder.filter(QueryBuilders.termQuery("brandName", brand));
            }
    
            //4.6 过滤查询的条件设置   规格条件
    
            if(searchMap!=null){
                for (String key : searchMap.keySet()) {//{ brand:"",category:"",spec_网络:"电信4G"}
                    if(key.startsWith("spec_"))  {
                        //截取规格的名称
                        boolQueryBuilder.filter(QueryBuilders.termQuery("specMap."+key.substring(5)+".keyword", searchMap.get(key)));
                    }
                }
            }
            //4.7 过滤查询的条件设置   价格区间的过滤查询
            String price = searchMap.get("price");// 0-500  3000-*
            if(!StringUtils.isEmpty(price)){
                //获取值 按照- 切割
                String[] split = price.split("-");
                //过滤范围查询
                //0<=price<=500
                if(!split[1].equals("*")) {
                    boolQueryBuilder.filter(QueryBuilders.rangeQuery("price").from(split[0], true).to(split[1], true));
                }else{
                    boolQueryBuilder.filter(QueryBuilders.rangeQuery("price").gte(split[0]));
                }
    
            }
    
    
            //过滤查询
            nativeSearchQueryBuilder.withFilter(boolQueryBuilder);
    
          //========================过滤查询 结束=====================================
    
    
            //分页查询
    
            //第一个参数:指定当前的页码  注意: 如果是第一页 数值为0
            //第二个参数:指定当前的页的显示的行
            String pageNum1 = searchMap.get("pageNum");
            Integer pageNum=Integer.valueOf(pageNum1);
    
            Integer pageSize=30;
    
            nativeSearchQueryBuilder.withPageable(PageRequest.of(pageNum-1,pageSize));
    
    
            //排序操作
            //获取排序的字段 和要排序的规则
            String sortField = searchMap.get("sortField");//price
            String sortRule = searchMap.get("sortRule");//DESC ASC
            if(!StringUtils.isEmpty(sortField) && !StringUtils.isEmpty(sortRule)) {
                //执行排序
                nativeSearchQueryBuilder.withSort(SortBuilders.fieldSort(sortField).order(sortRule.equalsIgnoreCase("ASC")?SortOrder.ASC:SortOrder.DESC));
                //nativeSearchQueryBuilder.withSort(SortBuilders.fieldSort(sortField).order(SortOrder.valueOf(sortRule)));
            }
    
            //5.构建查询对象(封装了查询的语法)
            NativeSearchQuery nativeSearchQuery = nativeSearchQueryBuilder.build();
    
            //6.执行查询
            AggregatedPage<SkuInfo> skuInfos = elasticsearchTemplate.queryForPage(nativeSearchQuery, SkuInfo.class,new SearchResultMapperImpl());
    
    
            // 6.2 获取聚合分组结果  获取商品分类的列表数据
            StringTerms stringTermsCategory = (StringTerms) skuInfos.getAggregation("skuCategorygroup");
            List<String> categoryList = getStringsCategoryList(stringTermsCategory);
    
    
            //6.3 获取 品牌分组结果 列表数据
    
            StringTerms stringTermsBrand = (StringTerms) skuInfos.getAggregation("skuBrandgroup");
            List<String> brandList = getStringsBrandList(stringTermsBrand);
    
            //6.4 获取 规格的分组结果 列表数据map
            StringTerms stringTermsSpec = (StringTerms) skuInfos.getAggregation("skuSpecgroup");
            Map<String, Set<String>> specMap = getStringSetMap(stringTermsSpec);
    
            //7.获取结果  返回map
    
            List<SkuInfo> content = skuInfos.getContent();//当前的页的集合
            int totalPages = skuInfos.getTotalPages();//总页数
            long totalElements = skuInfos.getTotalElements();//总记录数
    
            Map<String, Object> resultMap = new HashMap<>();
            resultMap.put("categoryList", categoryList);//商品分类的列表数据
            resultMap.put("brandList", brandList);   //商品品牌的列表数据
            resultMap.put("specMap", specMap);   //商品规格的列表数据展示
            resultMap.put("rows", content);
            resultMap.put("total", totalElements);
            resultMap.put("totalPages", totalPages);
            resultMap.put("pageNum",pageNum);
            resultMap.put("pageSize",pageSize);
            return resultMap;
        }
    
        private Map<String, Set<String>> getStringSetMap(StringTerms stringTermsSpec) {
            //key :规格的名称
            //value :规格名称对应的选项的多个值集合set
            Map<String, Set<String>> specMap = new HashMap<String, Set<String>>();
            Set<String> specValues = new HashSet<String>();
            if (stringTermsSpec != null) {
                //1. 获取分组的结果集
                for (StringTerms.Bucket bucket : stringTermsSpec.getBuckets()) {
                    //2.去除结果集的每一行数据()   {"手机屏幕尺寸":"5.5寸","网络":"电信4G","颜色":"白","测试":"s11","机身内存":"128G","存储":"16G","像素":"300万像素"}
                    String keyAsString = bucket.getKeyAsString();
    
                    //3.转成JSON 对象  map  key :规格的名称  value:规格名对应的选项的单个值
                    Map<String, String> map = JSON.parseObject(keyAsString, Map.class);
                    for (Map.Entry<String, String> stringStringEntry : map.entrySet()) {
                        String key = stringStringEntry.getKey();//规格名称   手机屏幕尺寸
                        String value = stringStringEntry.getValue();//规格的名称对应的单个选项值 5.5寸
    
                        //先从原来的specMap中 获取 某一个规格名称 对应的规格的选项值集合
                        specValues = specMap.get(key);
                        if (specValues == null) {
                            specValues = new HashSet<>();
                        }
                        specValues.add(value);
                        //4.提取map中的值放入到返回的map中
                        specMap.put(key, specValues);
                    }
                }
            }
            return specMap;
        }
    
        private List<String> getStringsBrandList(StringTerms stringTermsBrand) {
            List<String> brandList = new ArrayList<>();
            if (stringTermsBrand != null) {
                for (StringTerms.Bucket bucket : stringTermsBrand.getBuckets()) {
                    String keyAsString = bucket.getKeyAsString();//品牌的名称 huawei
                    brandList.add(keyAsString);
                }
            }
            return brandList;
        }
    
        /**
         * 获取分组结果   商品分类的分组结果
         *
         * @param stringTermsCategory
         * @return
         */
        private List<String> getStringsCategoryList(StringTerms stringTermsCategory) {
            List<String> categoryList = new ArrayList<>();
            if (stringTermsCategory != null) {
                for (StringTerms.Bucket bucket : stringTermsCategory.getBuckets()) {
                    String keyAsString = bucket.getKeyAsString();
                    System.out.println(keyAsString);//就是商品分类的数据
                    categoryList.add(keyAsString);
                }
            }
            return categoryList;
        }
    }

高亮字段  使用到的  SearchResultMapper 的实现：

package com.changgou.search.service;
    
    import com.alibaba.fastjson.JSON;
    import com.changgou.search.pojo.SkuInfo;
    import org.elasticsearch.action.search.SearchResponse;
    import org.elasticsearch.common.text.Text;
    import org.elasticsearch.search.SearchHit;
    import org.elasticsearch.search.aggregations.Aggregations;
    import org.elasticsearch.search.fetch.subphase.highlight.HighlightField;
    import org.springframework.data.domain.Pageable;
    import org.springframework.data.elasticsearch.core.SearchResultMapper;
    import org.springframework.data.elasticsearch.core.aggregation.AggregatedPage;
    import org.springframework.data.elasticsearch.core.aggregation.impl.AggregatedPageImpl;
    
    import java.util.ArrayList;
    import java.util.List;
    import java.util.Map;
    
    /**
     * 自定义结果集映射 ()
     *  目的: 获取高亮的数据
     */
    
    public class SearchResultMapperImpl implements SearchResultMapper {
        @Override
        public <T> AggregatedPage<T> mapResults(SearchResponse response, Class<T> clazz, Pageable pageable) {
    
            //1.创建一个当前页的记录集合对象
            List<T> content = new ArrayList<>();
    
            if(response.getHits()==null || response.getHits().getTotalHits()<=0){
                return new AggregatedPageImpl<T>(content);
            }
    
            //搜索到的结果集
            for (SearchHit searchHit : response.getHits()) {
                String sourceAsString = searchHit.getSourceAsString();//每一个行的数据 json的 数据
                SkuInfo skuInfo = JSON.parseObject(sourceAsString, SkuInfo.class);
    
                Map<String, HighlightField> highlightFields = searchHit.getHighlightFields();//key :高亮的字段名  value 就是该字段的高亮的数据集合
    
                HighlightField highlightField = highlightFields.get("name");
                //有高亮的数据
                if(highlightField!=null){
                    StringBuffer buffer = new StringBuffer();//有高亮的数据
                    //取高亮的数据
                    for (Text text : highlightField.getFragments()) {
                        String string = text.string();//高亮的数据  华为 胀奸  5寸  联通2G  白  <em style='color=red>'显示</em>  32G  16G  300万像素
                        buffer.append(string);
                    }
                    skuInfo.setName(buffer.toString());//有高亮的数据
                }
                content.add((T)skuInfo);
    
            }
    
    
            //2.创建分页的对象 已有
    
            //3.获取总个记录数
            long totalHits = response.getHits().getTotalHits();
    
            //4.获取所有聚合函数的结果
            Aggregations aggregations = response.getAggregations();
    
            //5.深度分页的ID
            String scrollId = response.getScrollId();
    
    
            return new AggregatedPageImpl<T>(content,pageable,totalHits,aggregations,scrollId);
        }
    }