京东搜索:项目搭建 1、new springboot 导入依赖
com.alibaba
fastjson
1.2.61
org.springframework.boot
spring-boot-starter-data-elasticsearch
org.springframework.boot
spring-boot-starter-thymeleaf
org.springframework.boot
spring-boot-starter-web
org.springframework.experimental
spring-native
${spring-native.version}
org.springframework.boot
spring-boot-devtools
>runtime
true
org.projectlombok
lombok
true
org.springframework.boot
spring-boot-starter-test
>test
2、application.yml
server.port=9090
#关闭 thymeleaf
spring.thymeleaf.cache=false
3、引入前端素材(可以去gitee搜索)
4、controller
@Controller
public class IndexController {
@GetMapping({"/","/index"})
public String index(){
return "index";
}
}
5、启动访问lcoalhost:9090
京东搜索:爬取数据
数据问题?数据库获取,消息队列中获取中,都可以成为数据源,爬虫!1、导入依赖
org.jsoup
jsoup
1.10.2
实体类
@Data
@NoArgsConstructor
@AllArgsConstructor
@ToString
public class Content {private String src;
private String price;
private String name;
}
工具类
package com.kuang.utils;
import com.kuang.pojo.Content;
import org.jsoup.Jsoup;
import org.jsoup.nodes.Document;
import org.jsoup.nodes.Element;
import org.jsoup.select.Elements;
import org.springframework.stereotype.Component;
import java.io.IOException;
import java.net.MalformedURLException;
import java.net.URL;
import java.util.ArrayList;
import java.util.List;
public class HtmlParseUtil{
public static List parseJd(String keyword) throws IOException {
List list = new ArrayList<>();
String url = "https://search.jd.com/Search?keyword="+keyword+"&enc=utf-8";
Document root = Jsoup.parse(new URL(new String(url.getBytes(),"utf-8")), 30000);
Element j_goodsList = root.getElementById("J_goodsList");
Elements li = j_goodsList.getElementsByTag("li");
for (Element element : li) {
String src = https://www.it610.com/article/element.getElementsByTag("img").eq(0).attr("data-lazy-img");
String price = element.getElementsByClass("p-price").eq(0).text();
String name = element.getElementsByClass("p-name").eq(0).text();
list.add(new Content(src,price,name));
}
return list;
}public static void main(String[] args) throws IOException {
List list = parseJd("java");
list.forEach(System.out::println);
}}
京东搜索:业务编写 1、连接elasticsearch
package com.kuang.config;
import org.apache.http.HttpHost;
import org.elasticsearch.client.RestClient;
import org.elasticsearch.client.RestHighLevelClient;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
@Configuration
public class ElasticSerachClientConfig {@Bean
public RestHighLevelClient restHighLevelClient(){
RestHighLevelClient client = new RestHighLevelClient(
RestClient.builder(
new HttpHost("127.0.0.1",9200,"http")));
return client;
}
}
2、controller
- contentController
@RestController
public class ContentController {@Autowired
private ContentService contentService;
@GetMapping("/parse/{keyword}")
public Boolean parse(@PathVariable("keyword") String keyword) throws IOException {
return contentService.parseContent(keyword);
}@GetMapping("/search/{keyword}/{pageNo}/{pageSize}")
public List
3、service
package com.kuang.service;
import com.alibaba.fastjson.JSON;
import com.kuang.pojo.Content;
import com.kuang.utils.HtmlParseUtil;
import lombok.NonNull;
import lombok.RequiredArgsConstructor;
import org.elasticsearch.action.bulk.BulkRequest;
import org.elasticsearch.action.bulk.BulkResponse;
import org.elasticsearch.action.index.IndexRequest;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.common.text.Text;
import org.elasticsearch.common.unit.TimeValue;
import org.elasticsearch.common.xcontent.XContentType;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.index.query.TermQueryBuilder;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightField;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;
import java.io.IOException;
import java.util.ArrayList;
import java.util.List;
import java.util.Map;
import java.util.concurrent.TimeUnit;
import java.util.stream.Collectors;
@Service
@RequiredArgsConstructor
public class ContentService {@Autowired
private RestHighLevelClient restHighLevelClient;
public Boolean parseContent(String keyword) throws IOException {List contents = HtmlParseUtil.parseJd(keyword);
BulkRequest bulkRequest = new BulkRequest();
bulkRequest.timeout("2m");
for (int i = 0;
i < contents.size();
i++) {
bulkRequest.add(new IndexRequest("jd_goods")
.source(JSON.toJSONString(contents.get(i)), XContentType.JSON));
}
BulkResponse bulk = restHighLevelClient.bulk(bulkRequest, RequestOptions.DEFAULT);
return !bulk.hasFailures();
}public static void main(String[] args) throws IOException {
new ContentService().parseContent("java");
}public List
4、utils
public class HtmlParseUtil{
public static List parseJd(String keyword) throws IOException {
List list = new ArrayList<>();
String url = "https://search.jd.com/Search?keyword="+keyword+"&enc=utf-8";
Document root = Jsoup.parse(new URL(new String(url.getBytes(),"utf-8")), 30000);
Element j_goodsList = root.getElementById("J_goodsList");
Elements li = j_goodsList.getElementsByTag("li");
for (Element element : li) {
String src = https://www.it610.com/article/element.getElementsByTag("img").eq(0).attr("data-lazy-img");
String price = element.getElementsByClass("p-price").eq(0).text();
String name = element.getElementsByClass("p-name").eq(0).text();
list.add(new Content(src,price,name));
}
return list;
}public static void main(String[] args) throws IOException {
List list = parseJd("java");
list.forEach(System.out::println);
}}
新建索引jd_goods京东搜索:前后端交互 导入axios.js
访问localhost:9090/parse/java 把java数据填入进去
访问http://localhost:9090/search/java/1/10 展示java前10条数据
vue.js
狂神说Java-ES仿京东实战 - 锐客网
th:src="https://www.it610.com/article/@{/js/vue.min.js}">
th:src="https://www.it610.com/article/@{/js/axios.min.js}">
>
new Vue({
el:'#app',
data:{
keyword:'',//搜索关键字
results:[],//搜索结果
},
methods:{
searchPage(){
var keyword = this.keyword;
console.log(keyword)
axios.get("/search/"+keyword+"/1/20").then(res=>{
console.log(res.data)
this.results = res.data;
})
}
}
})
京东搜索:关键字高亮实现 升级版ContentService
记得修改前端的显示
@Service
public class ContentService {@Autowired
private RestHighLevelClient restHighLevelClient;
public Boolean parseContent(String keyword) throws IOException {List contents = HtmlParseUtil.parseJd(keyword);
BulkRequest bulkRequest = new BulkRequest();
bulkRequest.timeout("2m");
for (int i = 0;
i < contents.size();
i++) {
bulkRequest.add(new IndexRequest("jd_goods")
.source(JSON.toJSONString(contents.get(i)), XContentType.JSON));
}
BulkResponse bulk = restHighLevelClient.bulk(bulkRequest, RequestOptions.DEFAULT);
return !bulk.hasFailures();
}public static void main(String[] args) throws IOException {
new ContentService().parseContent("java");
}public List> searchPage(String keyword,int pageNo, int pageSize) throws IOException {
if (pageNo <= 0) {
pageNo = 1;
}SearchRequest searchRequest = new SearchRequest("jd_goods");
SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
sourceBuilder.from(pageNo);
sourceBuilder.size(pageSize);
TermQueryBuilder termQueryBuilder = QueryBuilders.termQuery("name", keyword);
sourceBuilder.query(termQueryBuilder);
sourceBuilder.timeout(new TimeValue(60, TimeUnit.SECONDS));
//高亮
HighlightBuilder highlightBuilder = new HighlightBuilder();
highlightBuilder.field("name");
highlightBuilder.preTags("");
highlightBuilder.postTags("");
highlightBuilder.requireFieldMatch(false);
//多个高亮显示
sourceBuilder.highlighter(highlightBuilder);
searchRequest.source(sourceBuilder);
SearchResponse searchResponse = restHighLevelClient.search(searchRequest, RequestOptions.DEFAULT);
List> list = new ArrayList<>();
for (SearchHit hit : searchResponse.getHits().getHits()) {
//解析高亮的字段
Map highlightFields = hit.getHighlightFields();
HighlightField name = highlightFields.get("name");
Map sourceAsMap = hit.getSourceAsMap();
//原来的结果!
//解析高亮的字段,将原来的字段换为我们高亮的字段即可!
/*
if (name!=null){
Text[] fragments = name.fragments();
String n_title="";
for (Text text : fragments) {
n_title+=text;
}
sourceAsMap.put("name",n_title);
}
*/
if (name!=null){
Text[] fragments = name.fragments();
StringBuilder stringBuilder = new StringBuilder();
for (Text fragment : fragments) {
stringBuilder.append(fragment);
}
sourceAsMap.put("name",stringBuilder.toString());
}
list.add(sourceAsMap);
}
return list;
}
}
【elasticsearch|07-仿京东搜索】完结撒花~
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