1、Springboot整合ES
・
1、导入elasticsearch依赖
<dependency>
<groupId>org.elasticsearch.client</groupId>
<artifactId>elasticsearch-rest-high-level-client</artifactId>
<version>7.4.2</version>
</dependency>2、配置elasticsearch
・
@Configuration
public class EsConfig {
public static final RequestOptions COMMON_OPTIONS;
static {
RequestOptions.Builder builder = RequestOptions.DEFAULT.toBuilder();
// builder.addHeader("Authorization", "Bearer " + TOKEN);
// builder.setHttpAsyncResponseConsumerFactory(
// new HttpAsyncResponseConsumerFactory
// .HeapBufferedResponseConsumerFactory(30 * 1024 * 1024 * 1024));
COMMON_OPTIONS = builder.build();
}
//RestHighLevelClient 加入容器以后我们就用RestHighLevelClient 操作ES
@Bean
public RestHighLevelClient esRestClient(){
RestClientBuilder builder=null;
//ES连接地址及其端口号
builder = RestClient.builder(new HttpHost("127.0.0.1", 9200, "http"));
RestHighLevelClient client =new RestHighLevelClient(builder);
return client;
}
}・
2、商品上架数据保存到ES
・
1、建立SkuEsModel实体类，用于保存商品信息方便接收前端传送的数据，BizCodeEnume枚举类封装返回给前端的数据信息
・
@Data
public class SkuEsModel {
private Long skuId;// 销售属性id
private Long spuId; //基本属性id
private String skuTitle;/
private BigDecimal skuPrice;
private String skuImg;
private Long saleCount;
private Boolean hasStock; //库存
private Long hotScore;//热度评分
private Long brandId;//品牌id
private Long catalogId;//菜单分类id
private String brandName;//品牌名
private String brandImg;//品牌图片
private String catalogName;//分类名
private List<Attrs> attrs;//属性
@Data //属性内部类
public static class Attrs{
private Long attrId;
private String attrName;
private String attrValue;
}
}BizCodeEnume枚举类
・
public enum BizCodeEnume {
UNKNOW_EXCEPTION(10000,"系统未知异常"),
PRODUCT_UP_EXCEPTION(11000,"商品上架异常"),
VAILD_EXCEPTION(10001,"参数格式校验失败");
private int code;
private String msg;
BizCodeEnume(int code,String msg){
this.code = code;
this.msg = msg;
}
public int getCode() {
return code;
}
public String getMsg() {
return msg;
}
}・
2、保存商品到es实现上架接口
・
・
@Slf4j
@RequestMapping("/search/save")
@RestController
public class EsSaveController {
@Autowired
ProductSaveService productSaveService;
@RequestMapping("/product")
public R productStatusUp(@RequestBody List<SkuEsModel> skuEsModels){
Boolean b=false;
try { //商品上架到ES
b = productSaveService.productStatusUp(skuEsModels);
} catch (IOException e) {
log.error("商品上架错误:",e);
return R.error(BizCodeEnume.PRODUCT_UP_EXCEPTION.getCode(),BizCodeEnume.PRODUCT_UP_EXCEPTION.getMsg());
}
// b = productSaveService.productStatusUp(skuEsModels);返回值为false证明数据存到ES中没有发生错误
if(!b){
return R.ok(); }
else{
return R.error(BizCodeEnume.PRODUCT_UP_EXCEPTION.getCode(),BizCodeEnume.PRODUCT_UP_EXCEPTION.getMsg());
}
}
}・
常量数据类EsConstant
・
public class EsConstant {
public static final String PRODUCT_INDEX ="gulimall_product";//sku数据在ES中的索引
public static final Integer PRODUCT_PAGESIZE =16;//sku数据在ES中的索引
}・
Service服务（productStatusUp）
・
@Autowired
RestHighLevelClient client;
@Override
public Boolean productStatusUp(List<SkuEsModel> skuEsModels) throws IOException {
//数据保存到ES
//1、给ES建立索引，建立好映射关系
//2、给ES中保存数据
BulkRequest bulkRequest = new BulkRequest();
for (SkuEsModel model : skuEsModels) {
//建立索引
IndexRequest indexRequest = new IndexRequest(EsConstant.PRODUCT_INDEX);
(model.getSkuId().toString());
//保存到ES的数据必须是JSON格式，这里转换格式
String s = JSON.toJSONString(model);
indexRequest.source(s, XContentType.JSON);
bulkRequest.add(indexRequest);
}
//执行保存到ES EsConfig.COMMON_OPTIONS指定检索数
BulkResponse bulk = client.bulk(bulkRequest, EsConfig.COMMON_OPTIONS);
//是否有上价失败的返回true
boolean b = bulk.hasFailures();
List<String> collect = Arrays.stream(bulk.getItems()).map(item -> {
return item.getId();
}).collect(Collectors.toList());
//打印上架成功的商品
log.info("商品上架成功：{},返回数据{}",collect,bulk.toString());
return b;
}・
・
3、商品的检索服务
・
1、建立SearchParams、SearchResult两个VO类用于封装接收前端数据和给前端返回数据。
・
SearchParams
・
@Data
public class SearchParams {
/**
* 页面传递过来的全文匹配关键字
*/
private String keyword;
/**
* 品牌id,可以多选
*/
private List<Long> brandId;
/**
* 三级分类id
*/
private Long catalog3Id;
/**
* 排序条件：sort=price/salecount/hotscore_desc/asc
*/
private String sort;
/**
* 是否显示有货
*/
private Integer hasStock;
/**
* 价格区间查询
*/
private String skuPrice;
/**
* 按照属性进行筛选
*/
private List<String> attrs;
/**
* 页码
*/
private Integer pageNum = 1;
/**
* 原生的所有查询条件
*/
private String _queryString;
}SearchResult
・
@Data
public class SearchResult {
/**
* 查询到的所有商品信息
*/
private List<SkuEsModel> product;
/**
* 当前页码
*/
private Integer pageNum;
/**
* 总记录数
*/
private Long total;
/**
* 总页码
*/
private Integer totalPages;
private List<Integer> pageNavs;
/**
* 当前查询到的结果，所有涉及到的品牌
*/
private List<BrandVo> brands;
/**
* 当前查询到的结果，所有涉及到的所有属性
*/
private List<AttrVo> attrs;
/**
* 当前查询到的结果，所有涉及到的所有分类
*/
private List<CatalogVo> catalogs;
//===========================以上是返回给页面的所有信息============================//
/* 面包屑导航数据 */
private List<NavVo> navs=new ArrayList<>();
@Data
public static class NavVo {
private String navName;
private String navValue;
private String link;
}
@Data
public static class BrandVo {
private Long brandId;
private String brandName;
private String brandImg;
}
@Data
public static class AttrVo {
private Long attrId;
private String attrName;
private List<String> attrValue;
}
@Data
public static class CatalogVo {
private Long catalogId;
private String catalogName;
}
}・
2、接收前端页面数据接口
・
@GetMapping("/list.html")
public String listPage(SearchParams param, Model model, HttpServletRequest request) {
param.set_queryString(request.getQueryString());
//根据传递来的页面的查询参数，去es中检索商品
SearchResult result = mallSearchService.search(param);
//将数据存在request域中，便于HTML页面获取值
model.addAttribute("result",result);
return "list";
}・
3、Service服务（search）
・
public SearchResult search(SearchParams param) {
SearchResult result = null;
//1、准备检索请求(buildSearchRequest)
SearchRequest searchRequest =buildSearchRequest(param);
try {
//2、执行检索请求
SearchResponse response = client.search(searchRequest, EsConfig.COMMON_OPTIONS);
//3、分析response 响应数据并封装
result= buildSearchResult(response,param);
} catch (IOException e) {
e.printStackTrace();
}
System.out.println(result);
return result;
}・
buildSearchRequest（返回封装好的searchRequest检索请求）
・
private SearchRequest buildSearchRequest(SearchParams param) {
SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
//1、构建了bool query
BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();
//1.1 bool must 模糊查询
if(!StringUtils.isEmpty(param.getKeyword())){
boolQuery.must(QueryBuilders.matchQuery("skuTitle",param.getKeyword()));
}
//1.2 bool Filter -按照3级分类Id查询
if(param.getCatalog3Id()!=null){ boolQuery.filter(QueryBuilders.termQuery("catalogId",param.getCatalog3Id()));
}
//1.2 bool Filter -按照品牌Id查询
if (param.getBrandId()!=null&¶m.getBrandId().size()>0){ boolQuery.filter(QueryBuilders.termsQuery("brandId",param.getBrandId()));
}
//1.2 bool Filter -按照所以指定的属性进行查询
if(param.getAttrs()!=null&¶m.getAttrs().size()>0){
BoolQueryBuilder nestedboolQuery = QueryBuilders.boolQuery();
for (String attr : param.getAttrs()) {
String[] s = attr.split("_");
String attrId=s[0];
String[] attrValues = s[1].split(":");
//Attrs数据内部类所以这里使用nest查询
nestedboolQuery.must(QueryBuilders.termQuery("attrs.attrId",attrId));
nestedboolQuery.must(QueryBuilders.termQuery("attrs.attrValue",attrValues));
//每个属性必须都得生成一个nested查询
NestedQueryBuilder nestedQuery = QueryBuilders.nestedQuery("attrs", nestedboolQuery, ScoreMode.None);
boolQuery.filter(nestedQuery);
}
}
//1.2 bool Filter -按照是否拥有库存进行查询
if(null != param.getHasStock()){
boolQuery.filter(QueryBuilders.termQuery("hasStock",param.getHasStock() == 1));
}
//1.2 bool Filter -按照价格区间进行查询
if(!StringUtils.isEmpty(param.getSkuPrice())){
RangeQueryBuilder rangeQuery = QueryBuilders.rangeQuery("skuPrice");
String[] s = param.getSkuPrice().split("_");
if(s.length==2){
rangeQuery.gte(s[0]).lte(s[1]);
}
else if(s.length==1){
if(param.getSkuPrice().startsWith("_")){
rangeQuery.lte(s[0]);
}
if(param.getSkuPrice().endsWith("_")){
rangeQuery.gte(s[0]);
}
}
boolQuery.filter(rangeQuery);
}
//把以前的所有条件封装在一起
sourceBuilder.query(boolQuery);
//2.1 排序
if(!StringUtils.isEmpty(param.getSort())){
String sort = param.getSort();
String[] s = sort.split("_");
SortOrder sortOrder =s[1].equalsIgnoreCase("asc")?SortOrder.ASC:SortOrder.DESC;
sourceBuilder.sort(s[0],sortOrder);
}
//2.2 分页
//from = (pageNum-1)*size
sourceBuilder.from((param.getPageNum()-1)*EsConstant.PRODUCT_PAGESIZE);
sourceBuilder.size(EsConstant.PRODUCT_PAGESIZE);
//2.3 高亮
if(!StringUtils.isEmpty(param.getKeyword())){
HighlightBuilder highlightBuilder = new HighlightBuilder();
highlightBuilder.field("skuTitle");
highlightBuilder.preTags("<b style='color:red'>");
highlightBuilder.postTags("</b>");
}
//聚合分析
//1、品牌聚合
TermsAggregationBuilder brand_agg = AggregationBuilders.terms("brand_agg");
brand_agg.field("brandId").size(50);
//品牌聚合的子聚合
brand_agg.subAggregation(AggregationBuilders.terms("brand_name_agg").field("brandName").size(1));
brand_agg.subAggregation(AggregationBuilders.terms("brand_img_agg").field("brandImg").size(1));
sourceBuilder.aggregation(brand_agg);
//2、分类聚合
TermsAggregationBuilder catalog_agg =
//聚合名(catalog_agg)，过滤类型(catalogId)
AggregationBuilders.terms("catalog_agg").field("catalogId").size(20);
catalog_agg.subAggregation(AggregationBuilders.terms("catalog_name_agg").field("catalogName").size(1));
sourceBuilder.aggregation(catalog_agg);
//3、属性聚合
NestedAggregationBuilder attr_agg = AggregationBuilders.nested("attr_agg", "attrs");
//聚合出当前所以的attrId
TermsAggregationBuilder attr_id_agg = AggregationBuilders.terms("attr_id_agg").field("attrs.attrId");
//attrId对应的attr名字
attr_id_agg.subAggregation(AggregationBuilders.terms("attr_name_agg").field("attrs.attrName").size(1));
//查出当前attrId所有可能对应的属性值
attr_id_agg.subAggregation(AggregationBuilders.terms("attr_value_agg").field("attrs.attrValue").size(50));
attr_agg.subAggregation(attr_id_agg);
sourceBuilder.aggregation(attr_agg);
String s = sourceBuilder.toString();
System.out.println("构造的DSL："+s);
SearchRequest searchRequest = new SearchRequest(new String[]{EsConstant.PRODUCT_INDEX}, sourceBuilder);
return searchRequest;
}・
buildSearchResult(封装结果数据)
・
private SearchResult buildSearchResult(SearchResponse response,SearchParams param) {
//用于封装要返回的数据
SearchResult result =new SearchResult();
//查询到的所有商品信息(获取ES中所有被击中的数据)
SearchHits hits = response.getHits();
//用SkuEsModel来封装被击中hit中的hit的商品信息数据
List<SkuEsModel> esModels = new ArrayList<>();
if(hits.getHits()!=null&&hits.getHits().length>0) {
//遍历
for (SearchHit hit : hits.getHits()) {
String sourceAsString = hit.getSourceAsString();
//强转封装
SkuEsModel esModel = JSON.parseObject(sourceAsString, SkuEsModel.class);
esModels.add(esModel);
}
}
result.setProduct(esModels);
//2、当前商品涉及的所有属性信息
List<SearchResult.AttrVo> attrVos = new ArrayList<>();
ParsedNested attr_agg = response.getAggregations().get("attr_agg");
ParsedLongTerms attr_id_agg = attr_agg.getAggregations().get("attr_id_agg");
for (Terms.Bucket bucket : attr_id_agg.getBuckets()) {
SearchResult.AttrVo attrVo = new SearchResult.AttrVo();
//1、得到属性的ID
long attrId = bucket.getKeyAsNumber().longValue();
//2、得到属性的名字
String attr_name = ((ParsedStringTerms) bucket.getAggregations().get("attr_name_agg")).getBuckets().get(0).getKeyAsString();
//3、得到属性的所有值
List<String> attr_values = ((ParsedStringTerms) bucket.getAggregations().get("attr_value_agg")).getBuckets().stream().map(item -> {
String keyAsString = ((Terms.Bucket) item).getKeyAsString();
return keyAsString;
}).collect(Collectors.toList());
attrVo.setAttrId(attrId);
attrVo.setAttrName(attr_name);
attrVo.setAttrValue(attr_values);
attrVos.add(attrVo);
}
result.setAttrs(attrVos);
//3、当前所有商品涉及到的品牌信息
List<SearchResult.BrandVo> brandVos = new ArrayList<>();
ParsedLongTerms brand_agg = response.getAggregations().get("brand_agg");
for (Terms.Bucket bucket : brand_agg.getBuckets()) {
SearchResult.BrandVo brandVo = new SearchResult.BrandVo();
//1、得到品牌的ID
long brandId = bucket.getKeyAsNumber().longValue();
brandVo.setBrandId(brandId);
//2、得到品牌的名字
ParsedStringTerms brandNameAgg = bucket.getAggregations().get("brand_name_agg");
String brandName = brandNameAgg.getBuckets().get(0).getKeyAsString();
brandVo.setBrandName(brandName);
//3、得到品牌的图片
ParsedStringTerms brandImgAgg = bucket.getAggregations().get("brand_img_agg");
String brandImg = brandImgAgg.getBuckets().get(0).getKeyAsString();
brandVo.setBrandImg(brandImg);
brandVos.add(brandVo);
}
result.setBrands(brandVos);
//4、当前所有商品涉及到的所有分类信息
ParsedLongTerms catalog_agg = response.getAggregations().get("catalog_agg");
List<SearchResult.CatalogVo> catalogVos= new ArrayList<>();
List<? extends Terms.Bucket> buckets = catalog_agg.getBuckets();
for (Terms.Bucket bucket : buckets) {
SearchResult.CatalogVo catalogVo = new SearchResult.CatalogVo();
//得到分类ID
String keyAsString = bucket.getKeyAsString();
catalogVo.setCatalogId(Long.parseLong(keyAsString));
//得到分类名
ParsedStringTerms catalog_name_agg = bucket.getAggregations().get("catalog_name_agg");
String catalog_name = catalog_name_agg.getBuckets().get(0).getKeyAsString();
catalogVo.setCatalogName(catalog_name);
catalogVos.add(catalogVo);
}
//5.1、获取当前页码
result.setPageNum(param.getPageNum());
//5.2、分页信息总记录数
Long total=hits.getTotalHits().value;
result.setTotal(total);
//5.3、总页码
int totalPages= (int) (total%EsConstant.PRODUCT_PAGESIZE==0?total/EsConstant.PRODUCT_PAGESIZE:(total/EsConstant.PRODUCT_PAGESIZE+1));
result.setTotalPages(totalPages);
List<Integer> pageNavs = new ArrayList<>();
for (int i = 1; i <= totalPages; i++) {
pageNavs.add(i);
}
result.setPageNavs(pageNavs);
return result;
}
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