07-仿京东搜索
京东搜索：项目搭建
1、new springboot 导入依赖
<dependency>
<groupId>com.alibabagroupId>
<artifactId>fastjsonartifactId>
<version>1.2.61version>
dependency>
<dependency>
<groupId>org.springframework.bootgroupId>
<artifactId>spring-boot-starter-data-elasticsearchartifactId>
dependency>
<dependency>
<groupId>org.springframework.bootgroupId>
<artifactId>spring-boot-starter-thymeleafartifactId>
dependency>
<dependency>
<groupId>org.springframework.bootgroupId>
<artifactId>spring-boot-starter-webartifactId>
dependency>
<dependency>
<groupId>org.springframework.experimentalgroupId>
<artifactId>spring-nativeartifactId>
<version>${spring-native.version}version>
dependency>
<dependency>
<groupId>org.springframework.bootgroupId>
<artifactId>spring-boot-devtoolsartifactId>
<scope>runtimescope>
<optional>trueoptional>
dependency>
<dependency>
<groupId>org.projectlombokgroupId>
<artifactId>lombokartifactId>
<optional>trueoptional>
dependency>
<dependency>
<groupId>org.springframework.bootgroupId>
<artifactId>spring-boot-starter-testartifactId>
<scope>testscope>
dependency>
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
<dependency>
<groupId>org.jsoupgroupId>
<artifactId>jsoupartifactId>
<version>1.10.2version>
dependency>
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<Content> parseJd(String keyword) throws IOException {
List<Content> 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 = 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<Content> 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<Map<String, Object>> search(@PathVariable("keyword") String keyword
,@PathVariable("pageNo") int pageNo,
@PathVariable("pageSize") int pageSize
) throws IOException {
return contentService.searchPage(keyword, pageNo, pageSize);
}
}
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<Content> 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<Map<String, Object>> 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));
searchRequest.source(sourceBuilder);
SearchResponse searchResponse = restHighLevelClient.search(searchRequest, RequestOptions.DEFAULT);
List<Map<String, Object>> list = new ArrayList<>();
for (SearchHit documentFields : searchResponse.getHits().getHits()) {
list.add(documentFields.getSourceAsMap());
}
return list;
}
}
4、utils
public class HtmlParseUtil{
public static List<Content> parseJd(String keyword) throws IOException {
List<Content> 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 = 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<Content> list = parseJd("java");
list.forEach(System.out::println);
}
}
新建索引jd_goods
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
京东搜索：前后端交互
导入axios.js
vue.js
DOCTYPE html>
<html xmlns:th="http://www.thymeleaf.org">
<head>
<meta charset="utf-8"/>
<title>狂神说Java-ES仿京东实战title>
<link rel="stylesheet" th:href="@{/css/style.css}"/>
head>
<body class="pg">
<div class="page" id="app">
<div id="mallPage" class=" mallist tmall- page-not-market ">
<div id="header" class=" header-list-app">
<div class="headerLayout">
<div class="headerCon ">
<h1 id="mallLogo">
<img th:src="@{/images/jdlogo.png}" alt="">
h1>
<div class="header-extra">
<div id="mallSearch" class="mall-search">
<form name="searchTop" class="mallSearch-form clearfix">
<fieldset>
<legend>天猫搜索legend>
<div class="mallSearch-input clearfix">
<div class="s-combobox" id="s-combobox-685">
<div class="s-combobox-input-wrap">
<input v-model="keyword" type="text" autocomplete="off" value="dd" id="mq"
class="s-combobox-input" aria-haspopup="true">
div>
div>
<button @click.prevent="searchPage" type="submit" id="searchbtn">搜索button>
div>
fieldset>
form>
<ul class="relKeyTop">
<li><a>狂神说Javaa>li>
<li><a>狂神说前端a>li>
<li><a>狂神说Linuxa>li>
<li><a>狂神说大数据a>li>
<li><a>狂神聊理财a>li>
ul>
div>
div>
div>
div>
div>
<div id="content">
<div class="main">
<form class="navAttrsForm">
<div class="attrs j_NavAttrs" style="display:block">
<div class="brandAttr j_nav_brand">
<div class="j_Brand attr">
<div class="attrKey">
品牌
div>
<div class="attrValues">
<ul class="av-collapse row-2">
<li><a href="#"> 狂神说 a>li>
<li><a href="#"> Java a>li>
ul>
div>
div>
div>
div>
form>
<div class="filter clearfix">
<a class="fSort fSort-cur">综合<i class="f-ico-arrow-d">i>a>
<a class="fSort">人气<i class="f-ico-arrow-d">i>a>
<a class="fSort">新品<i class="f-ico-arrow-d">i>a>
<a class="fSort">销量<i class="f-ico-arrow-d">i>a>
<a class="fSort">价格<i class="f-ico-triangle-mt">i><i class="f-ico-triangle-mb">i>a>
div>
<div class="view grid-nosku">
<div class="product" v-for="item in results">
<div class="product-iWrap">
<div class="productImg-wrap">
<a class="productImg">
<img :src="item.src">
a>
div>
<p class="productPrice">
<em>{{item.price}}em>
p>
<p class="productTitle">
<a v-html="item.name">a>
p>
<div class="productShop">
<span>店铺： 狂神说Java span>
div>
<p class="productStatus">
<span>月成交<em>999笔em>span>
<span>评价 <a>3a>span>
p>
div>
div>
div>
div>
div>
div>
div>
<script th:src="@{/js/vue.min.js}">script>
<script th:src="@{/js/axios.min.js}">script>
<script>
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;
})
}
}
})
script>
body>
html>
京东搜索：关键字高亮实现
升级版ContentService
@Service
public class ContentService {
@Autowired
private RestHighLevelClient restHighLevelClient;
public Boolean parseContent(String keyword) throws IOException {
List<Content> 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<Map<String, Object>> 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<Map<String, Object>> list = new ArrayList<>();
for (SearchHit hit : searchResponse.getHits().getHits()) {
//解析高亮的字段
Map<String, HighlightField> highlightFields = hit.getHighlightFields();
HighlightField name = highlightFields.get("name");
Map<String, Object> 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;
}
}
完结撒花~