商品搜索

核心依赖

    <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-data-elasticsearch</artifactId>
        </dependency>

1、根据关键字查询

(1) changgou_service_search项目创建SearchService接口

public interface SearchService {

    /**
     * 全文检索
     * @param paramMap  查询参数
     * @return
     */
    public Map search(Map<String, String> paramMap) throws Exception;
}

(2) changgou_service_search项目创建SearchService接口实现类SearchServiceImpl

@Service
public class SearchServiceImpl implements SearchService {

    @Autowired
    private ElasticsearchTemplate esTemplate;



    //设置每页查询条数据
    public final static Integer PAGE_SIZE = 20;

    @Override
    public Map search(Map<String, String> searchMap) throws Exception {
        Map<String, Object> resultMap = new HashMap<>();

        //有条件才查询Es
        if (null != searchMap) {
            //组合条件对象
            BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();
            //0:关键词   模糊查询，相当于%关键词%  后面的and可用于多个拼接
            if (!StringUtils.isEmpty(searchMap.get("keywords"))) {
                boolQuery.must(QueryBuilders.matchQuery("name", searchMap.get("keywords")).operator(Operator.AND));
               
            }

            //4. 原生搜索实现类   把查询条件丢进去
            NativeSearchQueryBuilder nativeSearchQueryBuilder = new NativeSearchQueryBuilder();
            nativeSearchQueryBuilder.withQuery(boolQuery);
            
            //10: 执行查询, 返回结果对象
            AggregatedPage<SkuInfo> aggregatedPage = esTemplate.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<>();
                     //拿到查询到的所有数据
                    SearchHits hits = searchResponse.getHits();
                    if (null != hits) {
                        for (SearchHit hit : hits) {
                        //格式转换后放入集合中
                            SkuInfo skuInfo = JSON.parseObject(hit.getSourceAsString(), SkuInfo.class);

                            list.add((T) skuInfo);
                        }
                    }
                    return new AggregatedPageImpl<T>(list, pageable, hits.getTotalHits(), searchResponse.getAggregations());
                }
            });

            //11. 总条数
            resultMap.put("total", aggregatedPage.getTotalElements());
            //12. 总页数
            resultMap.put("totalPages", aggregatedPage.getTotalPages());
            //13. 查询结果集合
            resultMap.put("rows", aggregatedPage.getContent());
            //查询的结果返回给前端
            return resultMap;
        }
        return null;
    }
}

(3) changgou_service_search项目创建SearchController

@RestController
@RequestMapping("/sku_search")
public class SearchController {

    @Autowired
    private EsManagerService esManagerService;

    @Autowired
    private SearchService searchService;
    
     //对搜索入参带有特殊符号进行处理
    public void handlerSearchMap(Map<String,String> searchMap){

        if(null != searchMap){
            Set<Map.Entry<String, String>> entries = searchMap.entrySet();
            for (Map.Entry<String, String> entry : entries) {
                if(entry.getKey().startsWith("spec_")){
                    searchMap.put(entry.getKey(),entry.getValue().replace("+","%2B"));
                }
            }
        }

    }

    /**
     * 全文检索
     * @return
     */
    @GetMapping
    public Map search(@RequestParam Map<String, String> paramMap) throws Exception {
        //特殊符号处理
        handlerSearchMap(searchMap);
        Map resultMap = searchService.search(paramMap);
        return resultMap;
    }
}

(4)测试的时候可以多拼接keywords=xxx来实现关键字的搜索

2、条件筛选

用户有可能会根据分类搜索、品牌搜索，还有可能根据规格搜索，以及价格搜索和排序操作。根据分类和品牌搜索的时候，可以直接根据指定域搜索，而规格搜索的域数据是不确定的，价格是一个区间搜索，所以我们可以分为三段实现，先实现分类、品牌搜素，再实现规格搜索，然后实现价格区间搜索。

2.1 品牌筛选

2.1.1 需求分析

页面每次向后台传入对应的分类和品牌，后台据分类和品牌进行条件过滤即可。

2.1.2 代码实现

修改搜索微服务com.changgou.service.SearchServiceImpl的搜索方法，添加品牌过滤，代码如下：

代码如下：

@Override
public Map search(Map<String, String> searchMap) throws Exception {
    Map<String, Object> resultMap = new HashMap<>();

    //有条件才查询Es
    if (null != searchMap) {
        //组合条件对象
        BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();
        //0:关键词
        if (StringUtils.isNotEmpty(searchMap.get("keywords"))) {
            boolQuery.must(QueryBuilders.matchQuery("name", searchMap.get("keywords")).operator(Operator.AND));
        }
        //1:条件 品牌  精准匹配条件 比如 苹果
        if (StringUtils.isNotEmpty(searchMap.get("brand"))) {
            boolQuery.filter(QueryBuilders.termQuery("brandName", searchMap.get("brand")));
        }
        
        //4. 原生搜索实现类
        NativeSearchQueryBuilder nativeSearchQueryBuilder = new NativeSearchQueryBuilder();
        nativeSearchQueryBuilder.withQuery(boolQuery);

        //6. 品牌聚合(分组)查询   对于这个字段进行聚合查询，类似于group by
        String skuBrand = "skuBrand";
nativeSearchQueryBuilder.addAggregation(AggregationBuilders.terms(skuBrand).field("brandName"));

        //10: 执行查询, 返回结果对象
        AggregatedPage<SkuInfo> aggregatedPage = esTemplate.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<>();

                SearchHits hits = searchResponse.getHits();
                if (null != hits) {
                    for (SearchHit hit : hits) {
                        SkuInfo skuInfo = JSON.parseObject(hit.getSourceAsString(), SkuInfo.class);

                        list.add((T) skuInfo);
                    }
                }
                return new AggregatedPageImpl<T>(list, pageable, hits.getTotalHits(), searchResponse.getAggregations());
            }
        });

        //11. 总条数
        resultMap.put("total", aggregatedPage.getTotalElements());
        //12. 总页数
        resultMap.put("totalPages", aggregatedPage.getTotalPages());
        //13. 查询结果集合
        resultMap.put("rows", aggregatedPage.getContent());

        //14. 获取品牌聚合结果
        StringTerms brandTerms = (StringTerms) aggregatedPage.getAggregation(skuBrand);
        List<String> brandList = brandTerms.getBuckets().stream().map(bucket -> bucket.getKeyAsString()).collect(Collectors.toList());
        resultMap.put("brandList", brandList);

        return resultMap;
    }
    return null;
}

测试时可多加入brand来实现品牌的指定查询

2.2 规格过滤

2.2.1 需求分析

规格这一部分，需要向后台发送规格名字以及规格值，我们可以按照一定要求来发送数据，例如规格名字以特殊前缀提交到后台：spec_网络制式：电信4G、spec_显示屏尺寸：4.0-4.9英寸

后台接到数据后，可以根据前缀spec_来区分是否是规格，如果以spec_xxx开始的数据则为规格数据，需要根据指定规格找信息。

spechMap.规格名字.keyword

2.2.2 代码实现

修改com.changgou.service.SearchServiceImpl的搜索方法，增加规格查询操作，代码如下：

代码如下：

@Override
public Map search(Map<String, String> searchMap) throws Exception {
    Map<String, Object> resultMap = new HashMap<>();

    //有条件才查询Es
    if (null != searchMap) {
        //组合条件对象
        BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();
        //0:关键词
        if (!StringUtils.isEmpty(searchMap.get("keywords"))) {
            boolQuery.must(QueryBuilders.matchQuery("name", searchMap.get("keywords")).operator(Operator.AND));
        }
        //1:条件 品牌
        if (!StringUtils.isEmpty(searchMap.get("brand"))) {
            boolQuery.filter(QueryBuilders.termQuery("brandName", searchMap.get("brand")));
        }

        //2:条件 规格  和前端商量好指定传参的名称，spec_颜色=黑色  这样传递并做一个精准匹配
        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));
            }
        }

        //4. 原生搜索实现类
        NativeSearchQueryBuilder nativeSearchQueryBuilder = new NativeSearchQueryBuilder();
        nativeSearchQueryBuilder.withQuery(boolQuery);


        //6. 品牌聚合(分组)查询
        String skuBrand = "skuBrand";
 nativeSearchQueryBuilder.addAggregation(AggregationBuilders.terms(skuBrand).field("brandName"));

        //7. 规格聚合(分组)查询
        String skuSpec = "skuSpec";
 nativeSearchQueryBuilder.addAggregation(AggregationBuilders.terms(skuSpec).field("spec.keyword"));

        //10: 执行查询, 返回结果对象
        AggregatedPage<SkuInfo> aggregatedPage = esTemplate.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<>();

                SearchHits hits = searchResponse.getHits();
                if (null != hits) {
                    for (SearchHit hit : hits) {
                        SkuInfo skuInfo = JSON.parseObject(hit.getSourceAsString(), SkuInfo.class);

                        list.add((T) skuInfo);
                    }
                }
                return new AggregatedPageImpl<T>(list, pageable, hits.getTotalHits(), searchResponse.getAggregations());
            }
        });

        //11. 总条数
        resultMap.put("total", aggregatedPage.getTotalElements());
        //12. 总页数
        resultMap.put("totalPages", aggregatedPage.getTotalPages());
        //13. 查询结果集合
        resultMap.put("rows", aggregatedPage.getContent());

        //14. 获取品牌聚合结果
        StringTerms brandTerms = (StringTerms) aggregatedPage.getAggregation(skuBrand);
        List<String> brandList = brandTerms.getBuckets().stream().map(bucket -> bucket.getKeyAsString()).collect(Collectors.toList());
        resultMap.put("brandList", brandList);

        //15. 获取规格聚合结果
        StringTerms specTerms = (StringTerms) aggregatedPage.getAggregation(skuSpec);
        List<String> specList = specTerms.getBuckets().stream().map(bucket -> bucket.getKeyAsString()).collect(Collectors.toList());
        resultMap.put("specList", specList(specList));

        return resultMap;
    }
    return null;
}

//处理规格集合
public Map<String, Set<String>> specList(List<String> specList) {

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

    if (null != specList && specList.size() > 0) {

        for (String spec : specList) {

            Map<String, String> map = JSON.parseObject(spec, Map.class);
            Set<Map.Entry<String, String>> entries = map.entrySet();
            for (Map.Entry<String, String> entry : entries) {
                String key = entry.getKey();
                String value = entry.getValue();

                Set<String> specValues = specMap.get(key);
                if (null == specValues) {
                    specValues = new HashSet<>();
                }
                specValues.add(value);
                specMap.put(key, specValues);
            }
        }
    }
    return specMap;
}

可加入spec_颜色=红色

2.3 价格区间查询

2.3.1 需求分析

价格区间查询，每次需要将价格传入到后台，前端传入后台的价格大概是price=0-500或者price=500-1000依次类推，最后一个是price=3000,后台可以根据-分割，如果分割得到的结果最多有2个，第1个表示x<price，第2个表示price<=y。

2.3.2 代码实现

修改com.changgou.service.impl.SearchServiceImpl的搜索方法，增加价格区间查询操作，代码如下：

代码如下：

@Override
public Map search(Map<String, String> searchMap) throws Exception {
    Map<String, Object> resultMap = new HashMap<>();

    //有条件才查询Es
    if (null != searchMap) {
        //组合条件对象
        BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();
        //0:关键词
        if (!StringUtils.isEmpty(searchMap.get("keywords"))) {
            boolQuery.must(QueryBuilders.matchQuery("name", searchMap.get("keywords")).operator(Operator.AND));
        }
        //1:条件 品牌
        if (!StringUtils.isEmpty(searchMap.get("brand"))) {
            boolQuery.filter(QueryBuilders.termQuery("brandName", searchMap.get("brand")));
        }

        //2:条件 规格
        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));
            }
        }
        //3:条件 价格   0-500  500-1000  5000 如有一个值就打大于，两个值为一个区间
        if (StringUtils.isNotEmpty(searchMap.get("price"))) {
            String[] p = searchMap.get("price").split("-");
           if (p.length == 2) {
                boolQuery.filter(QueryBuilders.rangeQuery("price").lte(p[1]));
            }  
            boolQuery.filter(QueryBuilders.rangeQuery("price").gte(p[0]));
        }

        //4. 原生搜索实现类
        NativeSearchQueryBuilder nativeSearchQueryBuilder = new NativeSearchQueryBuilder();
        nativeSearchQueryBuilder.withQuery(boolQuery);

        //6. 品牌聚合(分组)查询
        String skuBrand = "skuBrand";
        nativeSearchQueryBuilder.addAggregation(AggregationBuilders.terms(skuBrand).field("brandName"));

        //7. 规格聚合(分组)查询
        String skuSpec = "skuSpec";
        nativeSearchQueryBuilder.addAggregation(AggregationBuilders.terms(skuSpec).field("spec.keyword"));

        //10: 执行查询, 返回结果对象
        AggregatedPage<SkuInfo> aggregatedPage = esTemplate.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<>();

                SearchHits hits = searchResponse.getHits();
                if (null != hits) {
                    for (SearchHit hit : hits) {
                        SkuInfo skuInfo = JSON.parseObject(hit.getSourceAsString(), SkuInfo.class);

                        list.add((T) skuInfo);
                    }
                }
                return new AggregatedPageImpl<T>(list, pageable, hits.getTotalHits(), searchResponse.getAggregations());
            }
        });

        //11. 总条数
        resultMap.put("total", aggregatedPage.getTotalElements());
        //12. 总页数
        resultMap.put("totalPages", aggregatedPage.getTotalPages());
        //13. 查询结果集合
        resultMap.put("rows", aggregatedPage.getContent());

        //14. 获取品牌聚合结果
        StringTerms brandTerms = (StringTerms) aggregatedPage.getAggregation(skuBrand);
        List<String> brandList = brandTerms.getBuckets().stream().map(bucket -> bucket.getKeyAsString()).collect(Collectors.toList());
        resultMap.put("brandList", brandList);

        //15. 获取规格聚合结果
        StringTerms specTerms = (StringTerms) aggregatedPage.getAggregation(skuSpec);
        List<String> specList = specTerms.getBuckets().stream().map(bucket -> bucket.getKeyAsString()).collect(Collectors.toList());
        resultMap.put("specList", specList(specList));

        return resultMap;
    }

    return null;
}

price=1-500

3 搜索分页

3.1 分页分析

页面需要实现分页搜索，所以我们后台每次查询的时候，需要实现分页。用户页面每次会传入当前页和每页查询多少条数据，当然如果不传入每页显示多少条数据，默认查询30条即可。

3.2 分页实现

分页使用PageRequest.of( pageNo- 1, pageSize);实现，第1个参数表示第N页，从0开始，第2个参数表示每页显示多少条，实现代码如下：

代码如下：

    @Override
    public Map search(Map<String, String> searchMap) throws Exception {
        Map<String, Object> resultMap = new HashMap<>();

        //有条件才查询Es
        if (null != searchMap) {
            //组合条件对象
            BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();
            //0:关键词
            if (!StringUtils.isEmpty(searchMap.get("keywords"))) {
                boolQuery.must(QueryBuilders.matchQuery("name", searchMap.get("keywords")).operator(Operator.AND));
            }
            //1:条件 品牌
            if (!StringUtils.isEmpty(searchMap.get("brand"))) {
                boolQuery.filter(QueryBuilders.termQuery("brandName", searchMap.get("brand")));
            }

            //2:条件 规格
            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));
                }
            }
            //3:条件 价格
            if (!StringUtils.isEmpty(searchMap.get("price"))) {
                String[] p = searchMap.get("price").split("-");
                boolQuery.filter(QueryBuilders.rangeQuery("price").gte(p[0]));
                if (p.length == 2) {
                    boolQuery.filter(QueryBuilders.rangeQuery("price").lte(p[1]));
                }
            }

            //4. 原生搜索实现类
            NativeSearchQueryBuilder nativeSearchQueryBuilder = new NativeSearchQueryBuilder();
            nativeSearchQueryBuilder.withQuery(boolQuery);

            //6. 品牌聚合(分组)查询
            String skuBrand = "skuBrand";
            nativeSearchQueryBuilder.addAggregation(AggregationBuilders.terms(skuBrand).field("brandName"));

            //7. 规格聚合(分组)查询
            String skuSpec = "skuSpec";
            nativeSearchQueryBuilder.addAggregation(AggregationBuilders.terms(skuSpec).field("spec.keyword"));


          
            //开启分页查询
            String pageNum = searchMap.get("pageNum"); //当前页
            String pageSize = searchMap.get("pageSize"); //每页显示多少条
            if (StringUtils.isEmpty(pageNum)){
                pageNum ="1";
            }
            if (StringUtils.isEmpty(pageSize)){
                pageSize="30";
            }
            //设置分页
            //第一个参数:当前页 是从0开始
            //第二个参数:每页显示多少条
            nativeSearchQueryBuilder.withPageable(PageRequest.of(Integer.parseInt(pageNum)-1,Integer.parseInt(pageSize)));

            //10: 执行查询, 返回结果对象
            AggregatedPage<SkuInfo> aggregatedPage = esTemplate.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<>();

                    SearchHits hits = searchResponse.getHits();
                    if (null != hits) {
                        for (SearchHit hit : hits) {
                            SkuInfo skuInfo = JSON.parseObject(hit.getSourceAsString(), SkuInfo.class);

                            
                            list.add((T) skuInfo);
                        }
                    }
                    return new AggregatedPageImpl<T>(list, pageable, hits.getTotalHits(), searchResponse.getAggregations());
                }
            });

            //11. 总条数
            resultMap.put("total", aggregatedPage.getTotalElements());
            //12. 总页数
            resultMap.put("totalPages", aggregatedPage.getTotalPages());
            //13. 查询结果集合
            resultMap.put("rows", aggregatedPage.getContent());

            //14. 获取品牌聚合结果
            StringTerms brandTerms = (StringTerms) aggregatedPage.getAggregation(skuBrand);
            List<String> brandList = brandTerms.getBuckets().stream().map(bucket -> bucket.getKeyAsString()).collect(Collectors.toList());
            resultMap.put("brandList", brandList);

            //15. 获取规格聚合结果
            StringTerms specTerms = (StringTerms) aggregatedPage.getAggregation(skuSpec);
            List<String> specList = specTerms.getBuckets().stream().map(bucket -> bucket.getKeyAsString()).collect(Collectors.toList());
            resultMap.put("specList", specList(specList));

            //16. 返回当前页
            resultMap.put("pageNum", pageNum);

            return resultMap;
        }

        return null;
    }

pageNum和pageSize可以指定

4 搜索排序

4.1 排序分析

排序这里总共有根据价格排序、根据评价排序、根据新品排序、根据销量排序，排序要想实现非常简单，只需要告知排序的域以及排序方式即可实现。

价格排序：只需要根据价格高低排序即可，降序价格高->低，升序价格低->高

评价排序：评价分为好评、中评、差评，可以在数据库中设计3个列，用来记录好评、中评、差评的量，每次排序的时候，好评的比例来排序，当然还要有条数限制，评价条数需要超过N条。

新品排序：直接根据商品的发布时间或者更新时间排序。

销量排序：销量排序除了销售数量外，还应该要有时间段限制。

.2 排序实现

这里我们不单独针对某个功能实现排序，我们只需要在后台接收2个参数，分别是排序域名字和排序方式，代码如下：

    @Override
    public Map search(Map<String, String> searchMap) throws Exception {
        Map<String, Object> resultMap = new HashMap<>();

        //有条件才查询Es
        if (null != searchMap) {
            //组合条件对象
            BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();
            //0:关键词
            if (!StringUtils.isEmpty(searchMap.get("keywords"))) {
                boolQuery.must(QueryBuilders.matchQuery("name", searchMap.get("keywords")).operator(Operator.AND));
            }
            //1:条件 品牌
            if (!StringUtils.isEmpty(searchMap.get("brand"))) {
                boolQuery.filter(QueryBuilders.termQuery("brandName", searchMap.get("brand")));
            }

            //2:条件 规格
            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));
                }
            }
            //3:条件 价格
            if (!StringUtils.isEmpty(searchMap.get("price"))) {
                String[] p = searchMap.get("price").split("-");
                boolQuery.filter(QueryBuilders.rangeQuery("price").gte(p[0]));
                if (p.length == 2) {
                    boolQuery.filter(QueryBuilders.rangeQuery("price").lte(p[1]));
                }
            }

            //4. 原生搜索实现类
            NativeSearchQueryBuilder nativeSearchQueryBuilder = new NativeSearchQueryBuilder();
            nativeSearchQueryBuilder.withQuery(boolQuery);

            //6. 品牌聚合(分组)查询
            String skuBrand = "skuBrand";
            nativeSearchQueryBuilder.addAggregation(AggregationBuilders.terms(skuBrand).field("brandName"));

            //7. 规格聚合(分组)查询
            String skuSpec = "skuSpec";
            nativeSearchQueryBuilder.addAggregation(AggregationBuilders.terms(skuSpec).field("spec.keyword"));

            //8: 排序   判断有无传过来值即可
            if (!StringUtils.isEmpty(searchMap.get("sortField"))) {
                if ("ASC".equals(searchMap.get("sortRule"))) {
                    nativeSearchQueryBuilder.withSort(SortBuilders.fieldSort(searchMap.get("sortField")).order(SortOrder.ASC));
                } else {

                    nativeSearchQueryBuilder.withSort(SortBuilders.fieldSort(searchMap.get("sortField")).order(SortOrder.DESC));
                }

            }

            String pageNum = searchMap.get("pageNum");
            if (null == pageNum) {
                pageNum = "1";
            }
            //9: 分页
            nativeSearchQueryBuilder.withPageable(PageRequest.of(Integer.parseInt(pageNum) - 1, Page.pageSize));

            //10: 执行查询, 返回结果对象
            AggregatedPage<SkuInfo> aggregatedPage = esTemplate.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<>();

                    SearchHits hits = searchResponse.getHits();
                    if (null != hits) {
                        for (SearchHit hit : hits) {
                            SkuInfo skuInfo = JSON.parseObject(hit.getSourceAsString(), SkuInfo.class);
                            
                            list.add((T) skuInfo);
                        }
                    }
                    return new AggregatedPageImpl<T>(list, pageable, hits.getTotalHits(), searchResponse.getAggregations());
                }
            });

            //11. 总条数
            resultMap.put("total", aggregatedPage.getTotalElements());
            //12. 总页数
            resultMap.put("totalPages", aggregatedPage.getTotalPages());
            //13. 查询结果集合
            resultMap.put("rows", aggregatedPage.getContent());

            //14. 获取品牌聚合结果
            StringTerms brandTerms = (StringTerms) aggregatedPage.getAggregation(skuBrand);
            List<String> brandList = brandTerms.getBuckets().stream().map(bucket -> bucket.getKeyAsString()).collect(Collectors.toList());
            resultMap.put("brandList", brandList);

            //15. 获取规格聚合结果
            StringTerms specTerms = (StringTerms) aggregatedPage.getAggregation(skuSpec);
            List<String> specList = specTerms.getBuckets().stream().map(bucket -> bucket.getKeyAsString()).collect(Collectors.toList());
            resultMap.put("specList", specList(specList));

            //16. 返回当前页
            resultMap.put("pageNum", pageNum);

            return resultMap;
        }

        return null;
    }

sortRule=ASC&sortField=price

5 高亮显示

5.1 高亮分析

高亮显示是指根据商品关键字搜索商品的时候，显示的页面对关键字给定了特殊样式，让它显示更加突出，如上图商品搜索中，关键字编程了红色，其实就是给定了红色样式。

5.2 高亮搜索实现步骤解析

将之前的搜索换掉，换成高亮搜索，我们需要做3个步骤：

1.指定高亮域，也就是设置哪个域需要高亮显示
  设置高亮域的时候，需要指定前缀和后缀，也就是关键词用什么html标签包裹，再给该标签样式
2.高亮搜索实现
3.将非高亮数据替换成高亮数据

第1点，例如在百度中搜索数据的时候，会有2个地方高亮显示，分别是标题和描述，商城搜索的时候，只是商品名称高亮显示了。而高亮显示其实就是添加了样式，例如<span style="color:red;">笔记本</span>,而其中span开始标签可以称为前缀，span结束标签可以称为后缀。

第2点，高亮搜索使用ElasticsearchTemplate实现。

第3点，高亮搜索后，会搜出非高亮数据和高亮数据，高亮数据会加上第1点中的高亮样式，此时我们需要将非高亮数据换成高亮数据即可。例如非高亮:华为笔记本性能超强悍 高亮数据：华为<span style="color:red;"笔记本</span>性能超强悍,将非高亮的换成高亮的，到页面就能显示样式了。

5.3 高亮代码实现

删掉之前com.changgou.service.impl.SearchServiceImpl的搜索方法搜索代码，用下面高亮搜索代码替换：

代码如下：

@Override
public Map search(Map<String, String> searchMap) throws Exception {
    Map<String, Object> resultMap = new HashMap<>();

    //有条件才查询Es
    if (null != searchMap) {
        //组合条件对象
        BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();
        //0:关键词
        if (!StringUtils.isEmpty(searchMap.get("keywords"))) {
            boolQuery.must(QueryBuilders.matchQuery("name", searchMap.get("keywords")).operator(Operator.AND));
        }
        //1:条件 品牌
        if (!StringUtils.isEmpty(searchMap.get("brand"))) {
            boolQuery.filter(QueryBuilders.termQuery("brandName", searchMap.get("brand")));
        }

        //2:条件 规格
        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));
            }
        }
        //3:条件 价格
        if (!StringUtils.isEmpty(searchMap.get("price"))) {
            String[] p = searchMap.get("price").split("-");
            boolQuery.filter(QueryBuilders.rangeQuery("price").gte(p[0]));
            if (p.length == 2) {
                boolQuery.filter(QueryBuilders.rangeQuery("price").lte(p[1]));
            }
        }

        //4. 原生搜索实现类
        NativeSearchQueryBuilder nativeSearchQueryBuilder = new NativeSearchQueryBuilder();
        nativeSearchQueryBuilder.withQuery(boolQuery);

        //5:高亮
        HighlightBuilder.Field field = new HighlightBuilder
            .Field("name")
            .preTags("<span style='color:red'>")
            .postTags("</span>");
        nativeSearchQueryBuilder.withHighlightFields(field);

        //6. 品牌聚合(分组)查询
        String skuBrand = "skuBrand";
        nativeSearchQueryBuilder.addAggregation(AggregationBuilders.terms(skuBrand).field("brandName"));

        //7. 规格聚合(分组)查询
        String skuSpec = "skuSpec";
        nativeSearchQueryBuilder.addAggregation(AggregationBuilders.terms(skuSpec).field("spec.keyword"));

        //8: 排序
        if (!StringUtils.isEmpty(searchMap.get("sortField"))) {
            if ("ASC".equals(searchMap.get("sortRule"))) {
                nativeSearchQueryBuilder.withSort(SortBuilders.fieldSort(searchMap.get("sortField")).order(SortOrder.ASC));
            } else {

                nativeSearchQueryBuilder.withSort(SortBuilders.fieldSort(searchMap.get("sortField")).order(SortOrder.DESC));
            }

        }

        String pageNum = searchMap.get("pageNum");
        if (null == pageNum) {
            pageNum = "1";
        }
        //9: 分页
        nativeSearchQueryBuilder.withPageable(PageRequest.of(Integer.parseInt(pageNum) - 1, Page.pageSize));

               //设置高亮域以及高亮的样式   自己定义前后标签和颜色即可   加完后会在这个nativeSearchQueryBuilder中新的属性
            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);




    //开启查询
            /**
             * 第一个参数: 条件构建对象
             * 第二个参数: 查询操作实体类
             * 第三个参数: 查询结果操作对象
             */
            //封装查询结果
            AggregatedPage<SkuInfo> resultInfo = elasticsearchTemplate.queryForPage(nativeSearchQueryBuilder.build(), SkuInfo.class, new SearchResultMapper() {
                @Override
                public <T> AggregatedPage<T> mapResults(SearchResponse searchResponse, Class<T> aClass, Pageable pageable) {
                    //查询结果操作
                    List<T> list = new ArrayList<>();

                    //获取查询命中结果数据
                    SearchHits hits = searchResponse.getHits();
                    if (hits != null){
                        //有查询结果
                        for (SearchHit hit : hits) {
                            //SearchHit转换为skuinfo
                            SkuInfo skuInfo = JSON.parseObject(hit.getSourceAsString(), SkuInfo.class);

                            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());
                }
            });

        //11. 总条数
        resultMap.put("total", aggregatedPage.getTotalElements());
        //12. 总页数
        resultMap.put("totalPages", aggregatedPage.getTotalPages());
        //13. 查询结果集合
        resultMap.put("rows", aggregatedPage.getContent());

        //14. 获取品牌聚合结果
        StringTerms brandTerms = (StringTerms) aggregatedPage.getAggregation(skuBrand);
        List<String> brandList = brandTerms.getBuckets().stream().map(bucket -> bucket.getKeyAsString()).collect(Collectors.toList());
        resultMap.put("brandList", brandList);

        //15. 获取规格聚合结果
        StringTerms specTerms = (StringTerms) aggregatedPage.getAggregation(skuSpec);
        List<String> specList = specTerms.getBuckets().stream().map(bucket -> bucket.getKeyAsString()).collect(Collectors.toList());
        resultMap.put("specList", specList(specList));

        //16. 返回当前页
        resultMap.put("pageNum", pageNum);

        return resultMap;
    }

    return null;
}

name=手机

6、最终代码

package com.changgou.search.service.impl;

import com.alibaba.fastjson.JSON;
import com.changgou.search.pojo.SkuInfo;
import com.changgou.search.service.SearchService;
import org.apache.commons.lang.StringUtils;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.index.query.BoolQueryBuilder;
import org.elasticsearch.index.query.Operator;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
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.fetch.subphase.highlight.HighlightField;
import org.elasticsearch.search.sort.SortBuilders;
import org.elasticsearch.search.sort.SortOrder;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.domain.Page;
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.aggregation.impl.AggregatedPageImpl;
import org.springframework.data.elasticsearch.core.query.NativeSearchQueryBuilder;
import org.springframework.stereotype.Service;

import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.stream.Collectors;

@Service
public class SearchServiceImpl implements SearchService {

    @Autowired
    private ElasticsearchTemplate elasticsearchTemplate;

    @Override
    public Map search(Map<String, String> searchMap) {

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

        //构建查询
        if (searchMap != null){
            //构建查询条件封装对象
            NativeSearchQueryBuilder nativeSearchQueryBuilder = new NativeSearchQueryBuilder();
            //构建查询对象
            BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();

            //按照关键字查询
            if (StringUtils.isNotEmpty(searchMap.get("keywords"))){
                //模糊匹配，类似于%内容%，and做拼接         想买啥
                boolQuery.must(QueryBuilders.matchQuery("name",searchMap.get("keywords")).operator(Operator.AND));
            }

            //按照品牌进行过滤查询
            if (StringUtils.isNotEmpty(searchMap.get("brand"))){
                //过滤精准匹配，用作查询具体的品牌          指定具体牌子苹果手机
                boolQuery.filter(QueryBuilders.termQuery("brandName",searchMap.get("brand")));
            }


            //按照规格进行过滤查询
            for (String key : searchMap.keySet()) {
                //和前端商量好前缀的格式，加入规格，传过来的参数比如spec_64GB或者颜色等等 比如买64GB大小的，用精准匹配             浏览器地址栏+号会自动转换成%2B
                if (key.startsWith("spec_")){
                    String value = searchMap.get(key).replace("%2B","+");
                    //spec_网络制式
                    boolQuery.filter(QueryBuilders.termQuery(("specMap."+key.substring(5)+".keyword"),value));
                }
            }

            //按照价格进行区间过滤查询
            if (StringUtils.isNotEmpty(searchMap.get("price"))){
                String[] prices = searchMap.get("price").split("-");
                // 0-500 500-1000       如果长度为2加个小于
                if (prices.length == 2){
                    boolQuery.filter(QueryBuilders.rangeQuery("price").lte(prices[1]));
                }
                boolQuery.filter(QueryBuilders.rangeQuery("price").gte(prices[0]));
            }
            //查询条件写完后加入进去进行构建
            nativeSearchQueryBuilder.withQuery(boolQuery);

            //按照品牌进行分组(聚合)查询
            String skuBrand="skuBrand";
            nativeSearchQueryBuilder.addAggregation(AggregationBuilders.terms(skuBrand).field("brandName"));

            //按照规格进行聚合查询
            String skuSpec="skuSpec";
            nativeSearchQueryBuilder.addAggregation(AggregationBuilders.terms(skuSpec).field("spec.keyword"));

            //开启分页查询
            String pageNum = searchMap.get("pageNum"); //当前页
            String pageSize = searchMap.get("pageSize"); //每页显示多少条
            if (StringUtils.isEmpty(pageNum)){
                pageNum ="1";
            }
            if (StringUtils.isEmpty(pageSize)){
                pageSize="30";
            }
            //设置分页
            //第一个参数:当前页 是从0开始
            //第二个参数:每页显示多少条
            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   自己定义前后标签和颜色即可   加完后会在这个nativeSearchQueryBuilder中新的属性
            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);

            //开启查询
            /**
             * 第一个参数: 条件构建对象
             * 第二个参数: 查询操作实体类
             * 第三个参数: 查询结果操作对象
             */
            //封装查询结果
            AggregatedPage<SkuInfo> resultInfo = elasticsearchTemplate.queryForPage(nativeSearchQueryBuilder.build(), SkuInfo.class, new SearchResultMapper() {
                @Override
                public <T> AggregatedPage<T> mapResults(SearchResponse searchResponse, Class<T> aClass, Pageable pageable) {
                    //查询结果操作
                    List<T> list = new ArrayList<>();

                    //获取查询命中结果数据
                    SearchHits hits = searchResponse.getHits();
                    if (hits != null){
                        //有查询结果
                        for (SearchHit hit : hits) {
                            //SearchHit转换为skuinfo
                            SkuInfo skuInfo = JSON.parseObject(hit.getSourceAsString(), SkuInfo.class);

                            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());
                }
            });

            //封装最终的返回结果
            //总记录数
            resultMap.put("total",resultInfo.getTotalElements());
            //总页数
            resultMap.put("totalPages",resultInfo.getTotalPages());
            //数据集合
            resultMap.put("rows",resultInfo.getContent());

            //封装品牌的分组结果
           StringTerms brandTerms = (StringTerms) resultInfo.getAggregation(skuBrand);
           List<String> brandList = brandTerms.getBuckets().stream().map(bucket -> bucket.getKeyAsString()).collect(Collectors.toList());
            resultMap.put("brandList",brandList);

            //封装规格分组结果
            StringTerms specTerms= (StringTerms) resultInfo.getAggregation(skuSpec);
            List<String> specList = specTerms.getBuckets().stream().map(bucket -> bucket.getKeyAsString()).collect(Collectors.toList());
            resultMap.put("specList",specList);

            //当前页
            resultMap.put("pageNum",pageNum);
            return resultMap;
        }
        return null;
    }
}