ES查询

@Service
public class SearchServiceImpl implements SearchService {
    @Autowired
    private ElasticsearchTemplate elasticsearchTemplate;

    /**
     * 关键字查询
     *
     * @param searchMap
     * @return
     */
    @Override
    public Map search(Map<String, String> searchMap) {
        Map<String, Object> resultMap = new HashMap<>();
        if (searchMap != null) {
            // 条件构造器
            NativeSearchQueryBuilder nativeSearchQueryBuilder = new NativeSearchQueryBuilder();
            // 组合条件对象
            BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();
            // 搜索查询
            if (StringUtils.isNotEmpty(searchMap.get("keywords"))) {
                // 关键字分词，分词后都必须有
                boolQuery.must(QueryBuilders.matchQuery("name", searchMap.get("keywords")).operator(Operator.AND));
            }
            //条件 品牌分组
            if (StringUtils.isNotEmpty(searchMap.get("brand"))) {
                // 精确匹配
                boolQuery.filter(QueryBuilders.termQuery("brandName", searchMap.get("brand")));
            }
            // 规格过滤查询
            for (String key : searchMap.keySet()) {
                if (key.startsWith("spec_")) {
                    String value = searchMap.get(key).replace("%2B", "+");
                    boolQuery.filter(QueryBuilders.termQuery(("specMap." + key.substring(5) + ".keyword"), value));
                }
            }
            // 价格区间查询
            if (StringUtils.isNotEmpty(searchMap.get("price"))) {
                String[] prices = searchMap.get("price").split("-");
                if (prices.length == 2) {
                    // 小于等于
                    boolQuery.filter(QueryBuilders.rangeQuery("price").lte(prices[1]));
                }
                // 大于等于
                boolQuery.filter(QueryBuilders.rangeQuery("price").gte(prices[0]));
            }
            
            nativeSearchQueryBuilder.withQuery(boolQuery);

            // 品牌分组(聚合)查询,                                              查询结果列名        查询的字段
            String skuBrand = "skuBrand";
            nativeSearchQueryBuilder.addAggregation(AggregationBuilders.terms(skuBrand).field("brandName"));

            // 规格聚合查询
            String skuSpec = "skuSpec";
            nativeSearchQueryBuilder.addAggregation(AggregationBuilders.terms(skuSpec).field("spec.keyword"));

            // 分页查询 页码从 0 开始
            String pageNum = searchMap.get("pageNum");
            String pageSize = searchMap.get("pageSize");
            if (StringUtils.isEmpty(pageNum)) {
                pageNum = "1";
            }
            if (StringUtils.isEmpty(pageSize)) {
                pageSize = "30";
            }
            nativeSearchQueryBuilder.withPageable(PageRequest.of(Integer.parseInt(pageNum) - 1, Integer.parseInt(pageSize)));

            //按照相关字段进行排序查询
            // 1.当前域 2.当前的排序操作(升序ASC,降序DESC)
            if (StringUtils.isNotEmpty(searchMap.get("sortField")) && StringUtils.isNotEmpty(searchMap.get("sortRule"))) {
                if ("ASC".equals(searchMap.get("sortRule"))) {
                    //升序
                    nativeSearchQueryBuilder.withSort(SortBuilders.fieldSort((searchMap.get("sortField"))).order(SortOrder.ASC));
                } else {
                    //降序
                    nativeSearchQueryBuilder.withSort(SortBuilders.fieldSort((searchMap.get("sortField"))).order(SortOrder.DESC));
                }
            }

            //设置高亮域以及高亮的样式
            HighlightBuilder.Field field = new HighlightBuilder.Field("name")//高亮域
                    .preTags("<span style='color:red'>")//高亮样式的前缀
                    .postTags("</span>");//高亮样式的后缀
            nativeSearchQueryBuilder.withHighlightFields(field);


            AggregatedPage<SkuInfo> skuInfos = elasticsearchTemplate.queryForPage(nativeSearchQueryBuilder.build(), SkuInfo.class, new SearchResultMapper() {
                @Override
                public <T> AggregatedPage<T> mapResults(SearchResponse searchResponse, Class<T> aClass, Pageable pageable) {
                    List<T> list = new ArrayList<>();
                    // 获取命中条数
                    SearchHits hits = searchResponse.getHits();
                    if (null != hits) {
                        // 获取每个商品数据
                        for (SearchHit hit : hits) {
                            SkuInfo skuInfo = JSON.parseObject(hit.getSourceAsString(), SkuInfo.class);
                            // 高亮替换
                            Map<String, HighlightField> highlightFields = hit.getHighlightFields();
                            if (highlightFields != null && highlightFields.size() > 0) {
                                //替换数据
                                skuInfo.setName(highlightFields.get("name").getFragments()[0].toString());
                            }
                            list.add((T) skuInfo);
                        }
                    }
                    return new AggregatedPageImpl<T>(list, pageable, hits.getTotalHits(), searchResponse.getAggregations());
                }
            });
            // 总条数
            resultMap.put("total", skuInfos.getTotalElements());
            // 总页数
            resultMap.put("page", skuInfos.getTotalPages());
            // 当前页
            resultMap.put("pageNum", pageNum);
            // 查询结果集合
            resultMap.put("rows", skuInfos.getContent());

            // 品牌分组结果
            StringTerms brandTerms = (StringTerms) skuInfos.getAggregation(skuBrand);
            List<String> brandList = brandTerms.getBuckets().stream().map(bucket -> bucket.getKeyAsString()).collect(Collectors.toList());
            resultMap.put("brandList", brandList);
            // 规格聚合查询
            StringTerms specTerms = (StringTerms) skuInfos.getAggregation(skuSpec);
            List<String> specList = specTerms.getBuckets().stream().map(bucket -> bucket.getKeyAsString()).collect(Collectors.toList());
            resultMap.put("specList", this.formartSpec(specList));

        }
        return resultMap;
    }

    /** specList
     *  "{'颜色': '红色', '尺码': '350度'}",
     *  "{'颜色': '黑色', '尺码': '200度'}",
     *  "{'颜色': '黑色', '尺码': '250度'}"
     *
     *  需要的数据格式
     *     {
     *         颜色:[黑色,红色],
     *         尺码:[350度,250度,200度]
     *     }
     */
    public Map<String,Set<String>> formartSpec(List<String> specList){

        Map<String,Set<String>> resultMap = new HashMap<>();

        if (specList!=null && specList.size()>0){
            for (String specJsonString : specList) {
                //将json数据转换为map
                Map<String,String> specMap = JSON.parseObject(specJsonString, Map.class);
                for (String specKey : specMap.keySet()) {
                    Set<String> specSet = resultMap.get(specKey);
                    if (specSet == null){
                        specSet = new HashSet<String>();
                    }
                    //将规格的值放入set中
                    specSet.add(specMap.get(specKey));
                    //将set放入map中
                    resultMap.put(specKey,specSet);
                }
            }
        }
        return resultMap;
    }
}