目录
请求构建
查询的请求
构造器
封装查询DSL语句
query语句
对全局匹配的关键字进行查询
品牌和类目的过滤
是否有库存
价格范围查找
按照属性过滤(内聚)
排序
分页查询
高亮显示
聚合操作
完成请求构建,发送请求
页面再次分析
结果封装
获取结果
商品信息赋值
获取查询到结果的品牌集合
获取查询到结果的类目集合
获取查询到结果的属性集合
分页操作
高亮显示
SearchRequest searchRequest = new SearchRequest();
SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
我们看到query里面,先进性bool查询
/**
* 关键字查询、根据属性、分类、品牌、价格区间、是否有库存等进行过滤、分页、高亮、以及聚合统计品牌分类属性
*/
BoolQueryBuilder boolQueryBuilder = new BoolQueryBuilder();
当时那个页面上有关于手机关键字的查询,这个是对name进行查询,还有可能其他人对其他信息进行搜索,我们需要进行判断这个keyword到底有没有传值
/**
* 页面传递过来的全文匹配关键字
*/
private String keyword;
单个字段查询,和多个字段查询
//1、查询关键字
if (!StringUtils.isEmpty(param.getKeyword())) {
//单字段查询
//boolQueryBuilder.must(QueryBuilders.matchQuery("name", param.getKeyword()));
//多字段查询
boolQueryBuilder.must(QueryBuilders.multiMatchQuery(param.getKeyword(),"name","keywords","subTitle"));
}
API
//2、根据类目ID进行过滤
if (null != param.getCategoryId()) {
boolQueryBuilder.filter(QueryBuilders.termQuery("categoryId", param.getCategoryId()));
}
//3、根据品牌ID进行过滤
if (null != param.getBrandId() && param.getBrandId().size() > 0) {
boolQueryBuilder.filter(QueryBuilders.termsQuery("brandId", param.getBrandId()));
}
if (null != param.getHasStock()) {
boolQueryBuilder.filter(QueryBuilders.termQuery("hasStock", param.getHasStock() == 1));
}
if (!StringUtils.isEmpty(param.getPrice())) {
//价格的输入形式为:10_100(起始价格和最终价格)或_100(不指定起始价格)或10_(不限制最终价格)
RangeQueryBuilder rangeQueryBuilder = QueryBuilders.rangeQuery("price");
String[] price = param.getPrice().split("_");
if (price.length == 2) {
//price: _5000
if (param.getPrice().startsWith("_")) {
rangeQueryBuilder.lte(price[1]);
}
else{
//price: 1_5000
rangeQueryBuilder.gte(price[0]).lte(price[1]);
}
} else if (price.length == 1) {
//price: 1_
if (param.getPrice().endsWith("_")) {
rangeQueryBuilder.gte(price[0]);
}
//price: _5000
if (param.getPrice().startsWith("_")) {
rangeQueryBuilder.lte(price[0]);
}
}
boolQueryBuilder.filter(rangeQueryBuilder);
}
看一下postman的请求参数,里面会携带两个参数,第一个参数代表具体查询哪个属性,第二个参数就是查询这个属性具体哪个规格
if (param.getAttrs() != null && param.getAttrs().size() > 0) {
param.getAttrs().forEach(item -> {
//attrs:[1_白色,2_4核]
BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();
//attrs=1_64G
String[] s = item.split("_");
String attrId = s[0];
String[] attrValues = s[1].split(":");//这个属性检索用的值
boolQuery.must(QueryBuilders.termQuery("attrs.attrId", attrId));
boolQuery.must(QueryBuilders.termsQuery("attrs.attrValue", attrValues));
NestedQueryBuilder nestedQueryBuilder = QueryBuilders.nestedQuery("attrs", boolQuery, ScoreMode.None);
boolQueryBuilder.filter(nestedQueryBuilder);
});
}
注意:所有bool查询结束
//页面传入的参数值形式 sort=price_asc/desc
if (!StringUtils.isEmpty(param.getSort())) {
String sort = param.getSort();
String[] sortFileds = sort.split("_");
if(!StringUtils.isEmpty(sortFileds[0])){
SortOrder sortOrder = "asc".equalsIgnoreCase(sortFileds[1]) ? SortOrder.ASC : SortOrder.DESC;
searchSourceBuilder.sort(sortFileds[0], sortOrder);
}
}
//分页查询
searchSourceBuilder.from((param.getPageNum() - 1) * SearchConstant.PAGE_SIZE);
searchSourceBuilder.size(SearchConstant.PAGE_SIZE);
//高亮显示
if (!StringUtils.isEmpty(param.getKeyword())) {
HighlightBuilder highlightBuilder = new HighlightBuilder();
highlightBuilder.field("name");
highlightBuilder.preTags("");
highlightBuilder.postTags("");
searchSourceBuilder.highlighter(highlightBuilder);
}
TermsAggregationBuilder category_agg = AggregationBuilders.terms("category_agg");
category_agg.field("categoryId").size(50);
category_agg.subAggregation(AggregationBuilders.terms("category_name_agg").field("categoryName").size(1));
searchSourceBuilder.aggregation(category_agg);
//2. 按照属性信息进行聚合
NestedAggregationBuilder attr_agg = AggregationBuilders.nested("attr_agg", "attrs");
//2.1 按照属性ID进行聚合
TermsAggregationBuilder attr_id_agg = AggregationBuilders.terms("attr_id_agg").field("attrs.attrId");
attr_agg.subAggregation(attr_id_agg);
//2.1.1 在每个属性ID下,按照属性名进行聚合
attr_id_agg.subAggregation(AggregationBuilders.terms("attr_name_agg").field("attrs.attrName").size(1));
//2.1.1 在每个属性ID下,按照属性值进行聚合
attr_id_agg.subAggregation(AggregationBuilders.terms("attr_value_agg").field("attrs.attrValue").size(50));
searchSourceBuilder.aggregation(attr_agg);
SearchRequest searchRequest = new SearchRequest(new String[]{SearchConstant.INDEX_NAME}, searchSourceBuilder);
SearchResponse response = client.search(searchRequest, RequestOptions.DEFAULT);
上面的都是聚合信息,都是通过聚合函数查询出来的结果,下面都是商品信息,再hits里面
SearchHits hits = response.getHits();
if (hits.getHits() != null && hits.getHits().length > 0) {
for (SearchHit hit : hits.getHits()) {
String sourceAsString = hit.getSourceAsString();
EsProduct esModel = JSON.parseObject(sourceAsString, EsProduct.class);
//2.1 判断是否按关键字检索,若是就显示高亮,否则不显示
if (!StringUtils.isEmpty(param.getKeyword())) {
//2.2 拿到高亮信息显示标题
HighlightField name = hit.getHighlightFields().get("name");
//2.3 判断name中是否含有查询的关键字(因为是多字段查询,因此可能不包含指定的关键字,假设不包含则显示原始name字段的信息)
String nameValue = name!=null ? name.getFragments()[0].string() : esModel.getName();
esModel.setName(nameValue);
}
esModels.add(esModel);
}
}
result.setProducts(esModels);
List brandVos = new ArrayList<>();
//获取到品牌的聚合
ParsedLongTerms brandAgg = response.getAggregations().get("brand_agg");
for (Terms.Bucket bucket : brandAgg.getBuckets()) {
ESResponseResult.BrandVo brandVo = new ESResponseResult.BrandVo();
//获取品牌的id
long brandId = bucket.getKeyAsNumber().longValue();
brandVo.setBrandId(brandId);
//获取品牌的名字
ParsedStringTerms brandNameAgg = bucket.getAggregations().get("brand_name_agg");
String brandName = brandNameAgg.getBuckets().get(0).getKeyAsString();
brandVo.setBrandName(brandName);
//获取品牌的LOGO
ParsedStringTerms brandImgAgg = bucket.getAggregations().get("brand_img_agg");
String brandImg = brandImgAgg.getBuckets().get(0).getKeyAsString();
brandVo.setBrandImg(brandImg);
System.out.println("brandId:"+brandId+"brandName:"+brandName+"brandImg");
brandVos.add(brandVo);
}
result.setBrands(brandVos);
List categoryVos = new ArrayList<>();
ParsedLongTerms categoryAgg = response.getAggregations().get("category_agg");
for (Terms.Bucket bucket : categoryAgg.getBuckets()) {
ESResponseResult.categoryVo categoryVo = new ESResponseResult.categoryVo();
//获取分类id
String keyAsString = bucket.getKeyAsString();
categoryVo.setCategoryId(Long.parseLong(keyAsString));
//获取分类名
ParsedStringTerms categoryNameAgg = bucket.getAggregations().get("category_name_agg");
String categoryName = categoryNameAgg.getBuckets().get(0).getKeyAsString();
categoryVo.setCategoryName(categoryName);
categoryVos.add(categoryVo);
}
result.setCategorys(categoryVos);
List attrVos = new ArrayList<>();
//获取属性信息的聚合
ParsedNested attrsAgg = response.getAggregations().get("attr_agg");
ParsedLongTerms attrIdAgg = attrsAgg.getAggregations().get("attr_id_agg");
for (Terms.Bucket bucket : attrIdAgg.getBuckets()) {
ESResponseResult.AttrVo attrVo = new ESResponseResult.AttrVo();
//获取属性ID值
long attrId = bucket.getKeyAsNumber().longValue();
attrVo.setAttrId(attrId);
//获取属性的名字
ParsedStringTerms attrNameAgg = bucket.getAggregations().get("attr_name_agg");
String attrName = attrNameAgg.getBuckets().get(0).getKeyAsString();
attrVo.setAttrName(attrName);
//获取属性的值
ParsedStringTerms attrValueAgg = bucket.getAggregations().get("attr_value_agg");
System.out.println("===1==="+attrValueAgg.getBuckets());
for (Terms.Bucket b : attrValueAgg.getBuckets()) {
String bb = b.getKeyAsString();
System.out.println("bb:"+bb);
}
List attrValues = attrValueAgg.getBuckets().stream().map(item -> item.getKeyAsString()).collect(Collectors.toList());
attrVo.setAttrValue(attrValues);
System.out.println("===2==="+attrValues);
attrVos.add(attrVo);
}
result.setAttrs(attrVos);
//6、进行分页操作
result.setPageNum(param.getPageNum());
//获取总记录数
long total = hits.getTotalHits().value;
result.setTotal(total);
//计算总页码
int totalPages = (int) total % SearchConstant.PAGE_SIZE == 0 ?
(int) total / SearchConstant.PAGE_SIZE : ((int) total / SearchConstant.PAGE_SIZE + 1);
result.setTotalPages(totalPages);
List pageNavs = new ArrayList<>();
for (int i = 1; i <= totalPages; i++) {
pageNavs.add(i);
}
result.setPageNavs(pageNavs);
在商品信息赋值里面