1. day07 ES搜索
2. 根据关键字查询
changgou_service_search项目创建SearchService接口
package com.changgou.search.service;import java.util.Map;public interface SearchService {//按照查询添加进行数据查询Map search(Map<String ,String> searchMap);}
创建SearchService接口实现类SearchServiceImpl
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.get.GetResponse;import org.elasticsearch.action.get.MultiGetResponse;import org.elasticsearch.action.search.SearchResponse;import org.elasticsearch.index.query.BoolQueryBuilder;import org.elasticsearch.index.query.Operator;import org.elasticsearch.index.query.QueryBuilder;import org.elasticsearch.index.query.QueryBuilders;import org.elasticsearch.search.SearchHit;import org.elasticsearch.search.SearchHits;import org.springframework.beans.factory.annotation.Autowired;import org.springframework.data.domain.Pageable;import org.springframework.data.elasticsearch.core.AbstractResultMapper;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.*;@Servicepublic class SearchServiceImpl implements SearchService {@Autowiredprivate ElasticsearchTemplate elasticsearchTemplate;/*** 根据前端传过来的字段进行查询** @param searchMap* @return*/@Overridepublic 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();BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();//按照关键字查询if (StringUtils.isNotEmpty(searchMap.get("keywords"))) {boolQuery.must(QueryBuilders.matchQuery("name", searchMap.get("keywords")).operator(Operator.AND));}nativeSearchQueryBuilder.withQuery(boolQuery);//开启查询/*** 第一个参数: 条件的构建对象* 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*/AggregatedPage<SkuInfo> resultInfo = elasticsearchTemplate.queryForPage(nativeSearchQueryBuilder.build(), SkuInfo.class,new SearchResultMapper() {@Overridepublic <T> AggregatedPage<T> mapResults(SearchResponse searchResponse, Class<T> aClass, Pageable pageable) {//查询结果操作List<T> list = new ArrayList<>();//获取查询命中的数据SearchHits hits = searchResponse.getHits();if (hits != null) {//非空for (SearchHit hit : hits) {//SearchHit转换为skuinfoSkuInfo skuInfo = JSON.parseObject(hit.getSourceAsString(), SkuInfo.class);list.add((T) skuInfo);}}return new AggregatedPageImpl<T>(list, pageable, hits.getTotalHits(), searchResponse.getAggregations());}});//封装最终返回结果//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());return resultMap;}return null;}}
changgou_service_search项目创建SearchController
package com.changgou.search.controller;import com.changgou.search.service.SearchService;import org.springframework.beans.factory.annotation.Autowired;import org.springframework.web.bind.annotation.GetMapping;import org.springframework.web.bind.annotation.RequestMapping;import org.springframework.web.bind.annotation.RequestParam;import org.springframework.web.bind.annotation.RestController;import java.util.Map;import java.util.Set;@RestController@RequestMapping("/search")public class SearchController {@Autowiredprivate SearchService searchService;@GetMappingpublic Map search(@RequestParam Map<String, String> searchMap) {//特殊符号处理this.handleSearchMap(searchMap);Map searchResult = searchService.search(searchMap);return searchResult;}private void handleSearchMap(Map<String, String> 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"));}}}}
删除索引库 重新导入索引 请求指定 localhost:9009/manager/importAll
测试关键字查询 localhost:9009/search?keywords=手机
3. 品牌条件筛选
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。

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。
修改搜索微服务com.changgou.service.SearchServiceImpl的搜索方法 在关键字查询boolQuery构建下添加品牌过滤
//按照品牌进行过滤查询if (StringUtils.isNotEmpty(searchMap.get("brand"))) {boolQuery.filter(QueryBuilders.termQuery("brandName",searchMap.get("brand")));}
完整代码
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.get.GetResponse;import org.elasticsearch.action.get.MultiGetResponse;import org.elasticsearch.action.search.SearchResponse;import org.elasticsearch.index.query.BoolQueryBuilder;import org.elasticsearch.index.query.Operator;import org.elasticsearch.index.query.QueryBuilder;import org.elasticsearch.index.query.QueryBuilders;import org.elasticsearch.search.SearchHit;import org.elasticsearch.search.SearchHits;import org.springframework.beans.factory.annotation.Autowired;import org.springframework.data.domain.Pageable;import org.springframework.data.elasticsearch.core.AbstractResultMapper;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.*;@Servicepublic class SearchServiceImpl implements SearchService {@Autowiredprivate ElasticsearchTemplate elasticsearchTemplate;/*** 根据前端传过来的字段进行查询** @param searchMap* @return*/@Overridepublic 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();BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();//按照关键字查询if (StringUtils.isNotEmpty(searchMap.get("keywords"))) {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"))) {boolQuery.filter(QueryBuilders.termQuery("brandName",searchMap.get("brand")));}nativeSearchQueryBuilder.withQuery(boolQuery);//开启查询/*** 第一个参数: 条件的构建对象* 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*/AggregatedPage<SkuInfo> resultInfo = elasticsearchTemplate.queryForPage(nativeSearchQueryBuilder.build(), SkuInfo.class,new SearchResultMapper() {@Overridepublic <T> AggregatedPage<T> mapResults(SearchResponse searchResponse, Class<T> aClass, Pageable pageable) {//查询结果操作List<T> list = new ArrayList<>();//获取查询命中的数据SearchHits hits = searchResponse.getHits();if (hits != null) {//非空for (SearchHit hit : hits) {//SearchHit转换为skuinfoSkuInfo skuInfo = JSON.parseObject(hit.getSourceAsString(), SkuInfo.class);list.add((T) skuInfo);}}return new AggregatedPageImpl<T>(list, pageable, hits.getTotalHits(), searchResponse.getAggregations());}});//封装最终返回结果//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());return resultMap;}return null;}}
测试请求 localhost:9009/search?keywords=手机&brand=华为
3.1. 按照品牌进行聚合查询
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.get.GetResponse;import org.elasticsearch.action.get.MultiGetResponse;import org.elasticsearch.action.search.SearchResponse;import org.elasticsearch.index.query.BoolQueryBuilder;import org.elasticsearch.index.query.Operator;import org.elasticsearch.index.query.QueryBuilder;import org.elasticsearch.index.query.QueryBuilders;import org.elasticsearch.search.SearchHit;import org.elasticsearch.search.SearchHits;import org.elasticsearch.search.aggregations.AggregationBuilders;import org.elasticsearch.search.aggregations.bucket.terms.StringTerms;import org.springframework.beans.factory.annotation.Autowired;import org.springframework.data.domain.Pageable;import org.springframework.data.elasticsearch.core.AbstractResultMapper;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.*;import java.util.stream.Collectors;@Servicepublic class SearchServiceImpl implements SearchService {@Autowiredprivate ElasticsearchTemplate elasticsearchTemplate;/*** 根据前端传过来的字段进行查询** @param searchMap* @return*/@Overridepublic 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();BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();//按照关键字查询if (StringUtils.isNotEmpty(searchMap.get("keywords"))) {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"))) {boolQuery.filter(QueryBuilders.termQuery("brandName", searchMap.get("brand")));}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"));//开启查询/*** 第一个参数: 条件的构建对象* 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*/AggregatedPage<SkuInfo> resultInfo = elasticsearchTemplate.queryForPage(nativeSearchQueryBuilder.build(), SkuInfo.class,new SearchResultMapper() {@Overridepublic <T> AggregatedPage<T> mapResults(SearchResponse searchResponse, Class<T> aClass, Pageable pageable) {//查询结果操作List<T> list = new ArrayList<>();//获取查询命中的数据SearchHits hits = searchResponse.getHits();if (hits != null) {//非空for (SearchHit hit : hits) {//SearchHit转换为skuinfoSkuInfo skuInfo = JSON.parseObject(hit.getSourceAsString(), SkuInfo.class);list.add((T) skuInfo);}}return new AggregatedPageImpl<T>(list, pageable, hits.getTotalHits(), searchResponse.getAggregations());}});//封装最终返回结果//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);return resultMap;}return null;}}
请求地址 localhost:9009/search?keywords=电视
添加品牌聚合后 通过关键字查询出结果中包含的品牌列表
4. 规格过滤
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。
修改搜索微服务com.changgou.service.SearchServiceImpl的搜索方法 在关键字查询boolQuery构建下添加
//按照规格进行过滤查询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));}}
完整代码
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.get.GetResponse;import org.elasticsearch.action.get.MultiGetResponse;import org.elasticsearch.action.search.SearchResponse;import org.elasticsearch.index.query.BoolQueryBuilder;import org.elasticsearch.index.query.Operator;import org.elasticsearch.index.query.QueryBuilder;import org.elasticsearch.index.query.QueryBuilders;import org.elasticsearch.search.SearchHit;import org.elasticsearch.search.SearchHits;import org.elasticsearch.search.aggregations.AggregationBuilders;import org.elasticsearch.search.aggregations.bucket.terms.StringTerms;import org.springframework.beans.factory.annotation.Autowired;import org.springframework.data.domain.Pageable;import org.springframework.data.elasticsearch.core.AbstractResultMapper;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.*;import java.util.stream.Collectors;@Servicepublic class SearchServiceImpl implements SearchService {@Autowiredprivate ElasticsearchTemplate elasticsearchTemplate;/*** 根据前端传过来的字段进行查询** @param searchMap* @return*/@Overridepublic 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();BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();//按照关键字查询if (StringUtils.isNotEmpty(searchMap.get("keywords"))) {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"))) {boolQuery.filter(QueryBuilders.termQuery("brandName", searchMap.get("brand")));}//按照规格进行过滤查询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));}}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"));//开启查询/*** 第一个参数: 条件的构建对象* 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*/AggregatedPage<SkuInfo> resultInfo = elasticsearchTemplate.queryForPage(nativeSearchQueryBuilder.build(), SkuInfo.class,new SearchResultMapper() {@Overridepublic <T> AggregatedPage<T> mapResults(SearchResponse searchResponse, Class<T> aClass, Pageable pageable) {//查询结果操作List<T> list = new ArrayList<>();//获取查询命中的数据SearchHits hits = searchResponse.getHits();if (hits != null) {//非空for (SearchHit hit : hits) {//SearchHit转换为skuinfoSkuInfo skuInfo = JSON.parseObject(hit.getSourceAsString(), SkuInfo.class);list.add((T) skuInfo);}}return new AggregatedPageImpl<T>(list, pageable, hits.getTotalHits(), searchResponse.getAggregations());}});//封装最终返回结果//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);return resultMap;}return null;}}
请求地址 localhost:9009/search?keywords=电视&spec_尺寸=金色
4.1. 按照规格进行聚合查询
修改搜索微服务com.changgou.service.SearchServiceImpl的搜索方法 在关键字查询boolQuery构建下添加
//按照规格进行聚合查询String skuSpec = "skuSpec";nativeSearchQueryBuilder.addAggregation(AggregationBuilders.terms(skuSpec).field("spec.keyword"));
//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);
完整代码
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.get.GetResponse;import org.elasticsearch.action.get.MultiGetResponse;import org.elasticsearch.action.search.SearchResponse;import org.elasticsearch.index.query.BoolQueryBuilder;import org.elasticsearch.index.query.Operator;import org.elasticsearch.index.query.QueryBuilder;import org.elasticsearch.index.query.QueryBuilders;import org.elasticsearch.search.SearchHit;import org.elasticsearch.search.SearchHits;import org.elasticsearch.search.aggregations.AggregationBuilders;import org.elasticsearch.search.aggregations.bucket.terms.StringTerms;import org.springframework.beans.factory.annotation.Autowired;import org.springframework.data.domain.Pageable;import org.springframework.data.elasticsearch.core.AbstractResultMapper;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.*;import java.util.stream.Collectors;@Servicepublic class SearchServiceImpl implements SearchService {@Autowiredprivate ElasticsearchTemplate elasticsearchTemplate;/*** 根据前端传过来的字段进行查询** @param searchMap* @return*/@Overridepublic 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();BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();//按照关键字查询if (StringUtils.isNotEmpty(searchMap.get("keywords"))) {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"))) {boolQuery.filter(QueryBuilders.termQuery("brandName", searchMap.get("brand")));}//按照规格进行过滤查询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));}}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"));//开启查询/*** 第一个参数: 条件的构建对象* 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*/AggregatedPage<SkuInfo> resultInfo = elasticsearchTemplate.queryForPage(nativeSearchQueryBuilder.build(), SkuInfo.class,new SearchResultMapper() {@Overridepublic <T> AggregatedPage<T> mapResults(SearchResponse searchResponse, Class<T> aClass, Pageable pageable) {//查询结果操作List<T> list = new ArrayList<>();//获取查询命中的数据SearchHits hits = searchResponse.getHits();if (hits != null) {//非空for (SearchHit hit : hits) {//SearchHit转换为skuinfoSkuInfo skuInfo = JSON.parseObject(hit.getSourceAsString(), SkuInfo.class);list.add((T) skuInfo);}}return new AggregatedPageImpl<T>(list, pageable, hits.getTotalHits(), searchResponse.getAggregations());}});//封装最终返回结果//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);return resultMap;}return null;}}
请求地址 localhost:9009/search?keywords=电视
5. 价格区间查询
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。
修改搜索微服务com.changgou.service.SearchServiceImpl的搜索方法 在关键字查询boolQuery构建下添加
//按照价格进行区间过滤查询if (StringUtils.isNotEmpty(searchMap.get("price"))) {String[] prices = searchMap.get("price").split("-");if (prices.length == 2) {//是xx - xx 价格区间的条件boolQuery.filter(QueryBuilders.rangeQuery("price").lte(prices[1]));}boolQuery.filter(QueryBuilders.rangeQuery("price").gte(prices[0]));}
完整代码
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.get.GetResponse;import org.elasticsearch.action.get.MultiGetResponse;import org.elasticsearch.action.search.SearchResponse;import org.elasticsearch.index.query.BoolQueryBuilder;import org.elasticsearch.index.query.Operator;import org.elasticsearch.index.query.QueryBuilder;import org.elasticsearch.index.query.QueryBuilders;import org.elasticsearch.search.SearchHit;import org.elasticsearch.search.SearchHits;import org.elasticsearch.search.aggregations.AggregationBuilders;import org.elasticsearch.search.aggregations.bucket.terms.StringTerms;import org.springframework.beans.factory.annotation.Autowired;import org.springframework.data.domain.Pageable;import org.springframework.data.elasticsearch.core.AbstractResultMapper;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.*;import java.util.stream.Collectors;@Servicepublic class SearchServiceImpl implements SearchService {@Autowiredprivate ElasticsearchTemplate elasticsearchTemplate;/*** 根据前端传过来的字段进行查询** @param searchMap* @return*/@Overridepublic 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();BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();//按照关键字查询if (StringUtils.isNotEmpty(searchMap.get("keywords"))) {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"))) {boolQuery.filter(QueryBuilders.termQuery("brandName", searchMap.get("brand")));}//按照规格进行过滤查询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));}}nativeSearchQueryBuilder.withQuery(boolQuery);//按照价格进行区间过滤查询if (StringUtils.isNotEmpty(searchMap.get("price"))) {String[] prices = searchMap.get("price").split("-");if (prices.length == 2) {//是xx - xx 价格区间的条件boolQuery.filter(QueryBuilders.rangeQuery("price").lte(prices[1]));}boolQuery.filter(QueryBuilders.rangeQuery("price").gte(prices[0]));}//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"));//开启查询/*** 第一个参数: 条件的构建对象* 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*/AggregatedPage<SkuInfo> resultInfo = elasticsearchTemplate.queryForPage(nativeSearchQueryBuilder.build(), SkuInfo.class,new SearchResultMapper() {@Overridepublic <T> AggregatedPage<T> mapResults(SearchResponse searchResponse, Class<T> aClass, Pageable pageable) {//查询结果操作List<T> list = new ArrayList<>();//获取查询命中的数据SearchHits hits = searchResponse.getHits();if (hits != null) {//非空for (SearchHit hit : hits) {//SearchHit转换为skuinfoSkuInfo skuInfo = JSON.parseObject(hit.getSourceAsString(), SkuInfo.class);list.add((T) skuInfo);}}return new AggregatedPageImpl<T>(list, pageable, hits.getTotalHits(), searchResponse.getAggregations());}});//封装最终返回结果//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);return resultMap;}return null;}}
请求地址 localhost:9009/search?price=0-500
localhost:9009/search?price=4000
6. 分页查询
修改搜索微服务com.changgou.service.SearchServiceImpl的搜索方法 在关键字查询boolQuery构建下添加
//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nativeSearchQueryBuilder.withPageable(PageRequest.of(Integer.parseInt(pageNum) - 1, Integer.parseInt(pageSize)));
封装当前页码到返回结果中
//当前页resultMap.put("pageNum", pageNum);
完整代码
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.get.GetResponse;import org.elasticsearch.action.get.MultiGetResponse;import org.elasticsearch.action.search.SearchResponse;import org.elasticsearch.index.query.BoolQueryBuilder;import org.elasticsearch.index.query.Operator;import org.elasticsearch.index.query.QueryBuilder;import org.elasticsearch.index.query.QueryBuilders;import org.elasticsearch.search.SearchHit;import org.elasticsearch.search.SearchHits;import org.elasticsearch.search.aggregations.AggregationBuilders;import org.elasticsearch.search.aggregations.bucket.terms.StringTerms;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.AbstractResultMapper;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.*;import java.util.stream.Collectors;@Servicepublic class SearchServiceImpl implements SearchService {@Autowiredprivate ElasticsearchTemplate elasticsearchTemplate;/*** 根据前端传过来的字段进行查询** @param searchMap* @return*/@Overridepublic 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();BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();//按照关键字查询if (StringUtils.isNotEmpty(searchMap.get("keywords"))) {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"))) {boolQuery.filter(QueryBuilders.termQuery("brandName", searchMap.get("brand")));}//按照规格进行过滤查询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));}}nativeSearchQueryBuilder.withQuery(boolQuery);//按照价格进行区间过滤查询if (StringUtils.isNotEmpty(searchMap.get("price"))) {String[] prices = searchMap.get("price").split("-");if (prices.length == 2) {//是xx - xx 价格区间的条件boolQuery.filter(QueryBuilders.rangeQuery("price").lte(prices[1]));}boolQuery.filter(QueryBuilders.rangeQuery("price").gte(prices[0]));}//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nativeSearchQueryBuilder.withPageable(PageRequest.of(Integer.parseInt(pageNum) - 1, Integer.parseInt(pageSize)));//开启查询/*** 第一个参数: 条件的构建对象* 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*/AggregatedPage<SkuInfo> resultInfo = elasticsearchTemplate.queryForPage(nativeSearchQueryBuilder.build(), SkuInfo.class,new SearchResultMapper() {@Overridepublic <T> AggregatedPage<T> mapResults(SearchResponse searchResponse, Class<T> aClass, Pageable pageable) {//查询结果操作List<T> list = new ArrayList<>();//获取查询命中的数据SearchHits hits = searchResponse.getHits();if (hits != null) {//非空for (SearchHit hit : hits) {//SearchHit转换为skuinfoSkuInfo skuInfo = JSON.parseObject(hit.getSourceAsString(), SkuInfo.class);list.add((T) skuInfo);}}return new AggregatedPageImpl<T>(list, pageable, hits.getTotalHits(), searchResponse.getAggregations());}});//封装最终返回结果//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;}}
请求地址 localhost:9009/search?price=4000&pageNum=10&pageSize=20
7. 搜索排序

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。
修改搜索微服务com.changgou.service.SearchServiceImpl的搜索方法 在关键字查询boolQuery构建下添加
//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"))) {//升序操作nativeSearchQueryBuilder.withSort(SortBuilders.fieldSort(searchMap.get("sortField")).order(SortOrder.ASC));}else {//降序nativeSearchQueryBuilder.withSort(SortBuilders.fieldSort(searchMap.get("sortField")).order(SortOrder.DESC));}}
完整代码
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.get.GetResponse;import org.elasticsearch.action.get.MultiGetResponse;import org.elasticsearch.action.search.SearchResponse;import org.elasticsearch.index.query.BoolQueryBuilder;import org.elasticsearch.index.query.Operator;import org.elasticsearch.index.query.QueryBuilder;import org.elasticsearch.index.query.QueryBuilders;import org.elasticsearch.search.SearchHit;import org.elasticsearch.search.SearchHits;import org.elasticsearch.search.aggregations.AggregationBuilders;import org.elasticsearch.search.aggregations.bucket.terms.StringTerms;import org.elasticsearch.search.sort.SortBuilders;import org.elasticsearch.search.sort.SortOrder;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.AbstractResultMapper;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.*;import java.util.stream.Collectors;@Servicepublic class SearchServiceImpl implements SearchService {@Autowiredprivate ElasticsearchTemplate elasticsearchTemplate;/*** 根据前端传过来的字段进行查询** @param searchMap* @return*/@Overridepublic 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();BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();//按照关键字查询if (StringUtils.isNotEmpty(searchMap.get("keywords"))) {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"))) {boolQuery.filter(QueryBuilders.termQuery("brandName", searchMap.get("brand")));}//按照规格进行过滤查询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));}}nativeSearchQueryBuilder.withQuery(boolQuery);//按照价格进行区间过滤查询if (StringUtils.isNotEmpty(searchMap.get("price"))) {String[] prices = searchMap.get("price").split("-");if (prices.length == 2) {//是xx - xx 价格区间的条件boolQuery.filter(QueryBuilders.rangeQuery("price").lte(prices[1]));}boolQuery.filter(QueryBuilders.rangeQuery("price").gte(prices[0]));}//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"))) {//升序操作nativeSearchQueryBuilder.withSort(SortBuilders.fieldSort(searchMap.get("sortField")).order(SortOrder.ASC));}else {//降序nativeSearchQueryBuilder.withSort(SortBuilders.fieldSort(searchMap.get("sortField")).order(SortOrder.DESC));}}//开启查询/*** 第一个参数: 条件的构建对象* 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*/AggregatedPage<SkuInfo> resultInfo = elasticsearchTemplate.queryForPage(nativeSearchQueryBuilder.build(), SkuInfo.class,new SearchResultMapper() {@Overridepublic <T> AggregatedPage<T> mapResults(SearchResponse searchResponse, Class<T> aClass, Pageable pageable) {//查询结果操作List<T> list = new ArrayList<>();//获取查询命中的数据SearchHits hits = searchResponse.getHits();if (hits != null) {//非空for (SearchHit hit : hits) {//SearchHit转换为skuinfoSkuInfo skuInfo = JSON.parseObject(hit.getSourceAsString(), SkuInfo.class);list.add((T) skuInfo);}}return new AggregatedPageImpl<T>(list, pageable, hits.getTotalHits(), searchResponse.getAggregations());}});//封装最终返回结果//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;}}
请求地址 localhost:9009/search?pageSize=1000&sortField=price&sortRule=DESC
8. 高亮显示

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。

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。
修改搜索微服务com.changgou.service.SearchServiceImpl的搜索方法 在关键字查询boolQuery构建下添加
//设置高亮域以及高亮的样式HighlightBuilder.Field field =new HighlightBuilder.Field("name")//高亮域//高亮前缀.preTags("<span style='color:red'>")//高亮后缀.postTags("</span>");nativeSearchQueryBuilder.withHighlightFields(field);
在SearchHit转换为skuinfo后 降skuinfo中的name属性 替换为添加高亮样式后的name
Map<String, HighlightField> highlightFields = hit.getHighlightFields(); //获取所有高亮域if (highlightFields !=null && highlightFields.size() > 0){//替换数据skuInfo.setName(highlightFields.get("name").getFragments()[0].toString());}
完整代码
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.get.GetResponse;import org.elasticsearch.action.get.MultiGetResponse;import org.elasticsearch.action.search.SearchResponse;import org.elasticsearch.index.query.BoolQueryBuilder;import org.elasticsearch.index.query.Operator;import org.elasticsearch.index.query.QueryBuilder;import org.elasticsearch.index.query.QueryBuilders;import org.elasticsearch.search.SearchHit;import org.elasticsearch.search.SearchHits;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.PageRequest;import org.springframework.data.domain.Pageable;import org.springframework.data.elasticsearch.core.AbstractResultMapper;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.*;import java.util.stream.Collectors;@Servicepublic class SearchServiceImpl implements SearchService {@Autowiredprivate ElasticsearchTemplate elasticsearchTemplate;/*** 根据前端传过来的字段进行查询** @param searchMap* @return*/@Overridepublic 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();BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();//按照关键字查询if (StringUtils.isNotEmpty(searchMap.get("keywords"))) {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"))) {boolQuery.filter(QueryBuilders.termQuery("brandName", searchMap.get("brand")));}//按照规格进行过滤查询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));}}nativeSearchQueryBuilder.withQuery(boolQuery);//按照价格进行区间过滤查询if (StringUtils.isNotEmpty(searchMap.get("price"))) {String[] prices = searchMap.get("price").split("-");if (prices.length == 2) {//是xx - xx 价格区间的条件boolQuery.filter(QueryBuilders.rangeQuery("price").lte(prices[1]));}boolQuery.filter(QueryBuilders.rangeQuery("price").gte(prices[0]));}//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"))) {//升序操作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//高亮前缀.preTags("<span style='color:red'>")//高亮后缀.postTags("</span>");nativeSearchQueryBuilder.withHighlightFields(field);//开启查询/*** 第一个参数: 条件的构建对象* 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*/AggregatedPage<SkuInfo> resultInfo = elasticsearchTemplate.queryForPage(nativeSearchQueryBuilder.build(), SkuInfo.class,new SearchResultMapper() {@Overridepublic <T> AggregatedPage<T> mapResults(SearchResponse searchResponse, Class<T> aClass, Pageable pageable) {//查询结果操作List<T> list = new ArrayList<>();//获取查询命中的数据SearchHits hits = searchResponse.getHits();if (hits != null) {//非空for (SearchHit hit : hits) {//SearchHit转换为skuinfoSkuInfo skuInfo = JSON.parseObject(hit.getSourceAsString(), SkuInfo.class);Map<String, HighlightField> highlightFields = hit.getHighlightFields(); //获取所有高亮域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;}}
请求地址 localhost:9009/search?keywords=电脑 查看关键字是否被添加高亮样式
