「这是我参与11月更文挑战的第25天,活动详情查看:2021最后一次更文挑战」
技术栈:
SpringBoot 2.5.6
ElasticSearch 7.8.0
Vue
1、项目搭建
1、新建一个Spring Boot 项目
2、导入依赖
2.1、 修改Springboot中的ElasticSearch版本和本地的版本一致
<properties>
<java.version>1.8</java.version>
<elasticsearch.version>7.8.0</elasticsearch.version>
</properties>
2.2、导入依赖
<dependencies>
<!-- jsoup解析网页-->
<dependency>
<groupId>org.jsoup</groupId>
<artifactId>jsoup</artifactId>
<version>1.10.2</version>
</dependency>
<!-- fastjson -->
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>fastjson</artifactId>
<version>1.2.70</version>
</dependency>
<!-- ElasticSearch -->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-elasticsearch</artifactId>
</dependency>
<!-- thymeleaf -->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-thymeleaf</artifactId>
</dependency>
<!-- web -->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<!-- devtools热部署 -->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-devtools</artifactId>
<scope>runtime</scope>
<optional>true</optional>
</dependency>
<!-- -->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-configuration-processor</artifactId>
<optional>true</optional>
</dependency>
<!-- lombok 需要安装插件 -->
<dependency>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
<optional>true</optional>
</dependency>
<!-- test -->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
<scope>test</scope>
</dependency>
</dependencies>
3、编写配置文件
# 更改端口,防止冲突
server.port=9090
# 关闭thymeleaf缓存
spring.thymeleaf.cache=false
4、导入静态资源
链接:pan.baidu.com/s/10EF40UUK… 提取码:ot8j
5、测试访问静态页面
@GetMapping({"/","/index"})
public String test(){
return "index";
}
项目搭建完成!
2、爬取数据
1、通过请求 search.jd.com/Search?keyw… 查询到页面
检查网页:可以看到元素列表id为 J_goodsList,
每个li标签里面存放了每个商品的具体数据:
2、解析页面,获取数据
编写解析页面工具类,获取商品信息:简易版
package com.cheng.utils;
import org.jsoup.Jsoup;
import org.jsoup.nodes.Document;
import org.jsoup.nodes.Element;
import org.jsoup.select.Elements;
import java.io.IOException;
import java.net.MalformedURLException;
import java.net.URL;
/**
* @Author wpcheng
* @Create 2021-11-10-9:46
*/
public class HTMLParseUtil {
public static void main(String[] args) throws IOException {
//1.获取请求
String url = "https://search.jd.com/Search?keyword=java";
//2、解析网页 这里Jsoup返回的就是浏览器的Document对象,在这里可以用js里的方法
Document document = Jsoup.parse(new URL(url), 30000);
//获取"J_goodsList"列表
Element element = document.getElementById("J_goodsList");
//获取"J_goodsList"列表中的li标签集合
Elements elements = element.getElementsByTag("li");
//将li标签集合中的每一个li标签遍历出来,一个el里有一个商品的信息
for (Element el : elements) {
//一般图片特别多的网站,所有的图片都是通过延迟加载的,图片地址放在"data-lazy-img"里面
String img = el.getElementsByTag("img").eq(0).attr("data-lazy-img");//获取商品图片的地址
String price = el.getElementsByClass("p-price").eq(0).text();//获取商品的价格
String title = el.getElementsByClass("p-name").eq(0).text();//获取商品的标题
System.out.println("=====================================");
System.out.println(img);
System.out.println(price);
System.out.println(title);
}
}
}
运行:数据获取成功。
编写商品信息的实体类:
@Data
@NoArgsConstructor
@AllArgsConstructor
public class Content implements Serializable {
private static final long serialVersionUID = -8049497962627482693L;
private String name;
private String img;
private String price;
}
将解析页面工具类 HTMLParseUtil 封装成方法:完整版
package com.cheng.utils;
import com.cheng.pojo.Content;
import org.jsoup.Jsoup;
import org.jsoup.nodes.Document;
import org.jsoup.nodes.Element;
import org.jsoup.select.Elements;
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 void main(String[] args) throws Exception {
//测试
new HTMLParseUtil().parseJD("刘同").forEach(System.out::println);
}
public List<Content> parseJD(String keyword) throws Exception {
String url = "https://search.jd.com/Search?keyword="+keyword;
//2、解析网页 这里Jsoup返回的就是浏览器的Document对象,在这里可以用js里的方法
Document document = Jsoup.parse(new URL(url), 30000);
//获取"J_goodsList"列表
Element element = document.getElementById("J_goodsList");
//获取"J_goodsList"列表中的li标签集合
Elements elements = element.getElementsByTag("li");
//将li标签集合中的每一个li标签遍历出来,一个el里有一个商品的信息
// list存储所有li下的内容
List<Content> contents = new ArrayList<>();
for (Element el : elements) {
//一般图片特别多的网站,所有的图片都是通过延迟加载的,图片地址放在"data-lazy-img"里面
String img = el.getElementsByTag("img").eq(0).attr("data-lazy-img");//获取商品图片的地址
String price = el.getElementsByClass("p-price").eq(0).text();//获取商品的价格
String title = el.getElementsByClass("p-name").eq(0).text();//获取商品的标题
Content content = new Content(img, price, title);
contents.add(content);
}
return contents;
}
}
运行测试工具类:
爬取数据测试成功!
3、编写业务
1、编写配置文件
@Configuration
public class ESHighClientConfig {
@Bean
public RestHighLevelClient restHighLevelClient(){
RestHighLevelClient client = new RestHighLevelClient(
RestClient.builder(new HttpHost("127.0.0.1", 9200, "http")));
return client;
}
}
2、编写service层
package com.cheng.service;
import com.alibaba.fastjson.JSON;
import com.cheng.pojo.Content;
import com.cheng.utils.HTMLParseUtil;
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.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.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;
@Service
public class ContentService {
@Autowired
RestHighLevelClient restHighLevelClient;
//爬取数据放入索引
public boolean parseContent(String keyword) throws Exception {
//用自定义解析工具类解析网页,获取数据
List<Content> contents = HTMLParseUtil.parseJD(keyword);
//将解析得到的数据批量加入ES中
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 bulkResponse = restHighLevelClient.bulk(bulkRequest, RequestOptions.DEFAULT);
return !bulkResponse.hasFailures();//返回true执行成功
}
//搜索文档信息
public List<Map<String,Object>> search(String keyword,int pageIndex,int pageSize) throws IOException {
if (pageIndex < 0){
pageIndex = 0;
}
//针对索引构建查询请求
SearchRequest request = new SearchRequest("jd_goods");
//构建搜索条件
SearchSourceBuilder sourceBuilder = SearchSourceBuilder.searchSource();
//精确查询关键词
TermQueryBuilder termQuery = QueryBuilders.termQuery("name", keyword);
//把精确查询放入搜索条件
sourceBuilder.query(termQuery).timeout(new TimeValue(60, TimeUnit.SECONDS));
//分页
sourceBuilder.from(pageIndex);
sourceBuilder.size(pageSize);
//把搜索条件放入请求
request.source(sourceBuilder);
//执行查询请求
SearchResponse response = restHighLevelClient.search(request, RequestOptions.DEFAULT);
List<Map<String,Object>> list = new ArrayList<>();
for (SearchHit documentFields : response.getHits().getHits()) {
//把每个商品信息当做map取出
Map<String, Object> sourceAsMap = documentFields.getSourceAsMap();
//放入list集合
list.add(sourceAsMap);
}
return list;
}
}
3、编写controller层
package com.cheng.controller;
import com.cheng.service.ContentService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Controller;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.PathVariable;
import org.springframework.web.bind.annotation.ResponseBody;
import org.springframework.web.bind.annotation.RestController;
import java.io.IOException;
import java.util.List;
import java.util.Map;
@RestController
public class TextController {
@Autowired
private ContentService contentService;
@GetMapping({"/","/index"})
public String test(){
return "index";
}
@GetMapping("/parse/{keyword}")
public Boolean parse(@PathVariable("keyword") String keyword) throws Exception {
return contentService.parseContent(keyword);
}
@GetMapping("/search/{keyword}/{pageIndex}/{pageSize}")
public List<Map<String, Object>> parse(@PathVariable("keyword") String keyword,
@PathVariable("pageIndex") Integer pageIndex,
@PathVariable("pageSize") Integer pageSize) throws IOException {
return contentService.search(keyword,pageIndex,pageSize);
}
}
4、进行测试
访问请求:http://localhost:9090/parse/java 添加文档:文档数据已添加进ES中
访问请求:http://localhost:9090/search/java/1/20 查询带有关键字“java”的商品信息,并进行分页:查询成功!
4、前后端交互
1、导入vue和axios依赖
2、引入js到html文件中
<script th:src="@{/js/vue.min.js}"></script>
<script th:src="@{/js/axios.min.js}"></script>
3、渲染后的 index.html
<!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}"/>
<script th:src="@{/js/jquery.min.js}"></script>
</head>
<body class="pg">
<div class="page">
<div id="app" class=" mallist tmall- page-not-market ">
<!-- 头部搜索 -->
<div id="header" class=" header-list-app">
<div class="headerLayout">
<div class="headerCon ">
<!-- Logo-->
<h1 id="mallLogo">
<img th:src="@{/images/jdlogo.png}" alt="">
</h1>
<div class="header-extra">
<!--搜索-->
<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" id="mq"
class="s-combobox-input" aria-haspopup="true">
</div>
</div>
<button type="submit" @click.prevent="searchKey" id="searchbtn">搜索</button>
</div>
</fieldset>
</form>
<ul class="relKeyTop">
<li><a>狂神说Java</a></li>
<li><a>狂神说前端</a></li>
<li><a>狂神说Linux</a></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>
<!-- 商品详情页面 -->
<div id="content">
<div class="main">
<!-- 品牌分类 -->
<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>
<!-- 排序规则 -->
<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>
<!-- 商品详情 -->
<div class="view grid-nosku" >
<div class="product" v-for="result in results">
<div class="product-iWrap">
<!--商品封面-->
<div class="productImg-wrap">
<a class="productImg">
<img :src="result.img">
</a>
</div>
<!--价格-->
<p class="productPrice">
<em v-text="result.price"></em>
</p>
<!--标题-->
<p class="productTitle">
<a v-html="result.name"></a>
</p>
<!-- 店铺名 -->
<div class="productShop">
<span>店铺: 狂神说Java </span>
</div>
<!-- 成交信息 -->
<p class="productStatus">
<span>月成交<em>999笔</em></span>
<span>评价 <a>3</a></span>
</p>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
<script src="https://cdn.jsdelivr.net/npm/vue@2/dist/vue.js"></script>
<script th:src="@{/js/axios.min.js}"></script>
<script>
new Vue({
el:"#app",
data:{
keyword: '', // 搜索的关键字
results:[] // 后端返回的结果
},
methods:{
searchKey(){
var keyword = this.keyword;
console.log(keyword);
axios.get('h_search/'+keyword+'/0/20').then(response=>{
console.log(response.data);
this.results=response.data;
})
}
}
});
</script>
</body>
</html>
5、关键字高亮
在ContentService里面加上关键字高亮的方法:
原理:用新的高亮字段值覆盖旧的字段值
public List<Map<String, Object>> highlightSearch(String keyword, Integer pageIndex, Integer pageSize) throws IOException {
//针对构建查询请求
SearchRequest searchRequest = new SearchRequest("jd_goods");
SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
// 精确查询
TermQueryBuilder termQueryBuilder = QueryBuilders.termQuery("name", keyword);
searchSourceBuilder.timeout(new TimeValue(60, TimeUnit.SECONDS));
//添加查询
searchSourceBuilder.query(termQueryBuilder);
// 分页
searchSourceBuilder.from(pageIndex);
searchSourceBuilder.size(pageSize);
// 关键字高亮
HighlightBuilder highlightBuilder = new HighlightBuilder();
highlightBuilder.field("name");
highlightBuilder.preTags("<span style='color:red'>");
highlightBuilder.postTags("</span>");
searchSourceBuilder.highlighter(highlightBuilder);
//添加查询条件到查询请求
searchRequest.source(searchSourceBuilder);
// 执行查询请求
SearchResponse searchResponse = restHighLevelClient.search(searchRequest, RequestOptions.DEFAULT);
// 解析结果
SearchHits hits = searchResponse.getHits();
List<Map<String, Object>> results = new ArrayList<>();
for (SearchHit documentFields : hits.getHits()) {
// 使用新的高亮字段值覆盖旧的字段值
Map<String, Object> sourceAsMap = documentFields.getSourceAsMap();
// 高亮字段
Map<String, HighlightField> highlightFields = documentFields.getHighlightFields();
HighlightField name = highlightFields.get("name");
// 开始替换
if (name != null){
Text[] fragments = name.fragments();
//用StringBuilder效率更高
StringBuilder new_name = new StringBuilder();
for (Text text : fragments) {
new_name.append(text);
}
sourceAsMap.put("name",new_name.toString());
}
results.add(sourceAsMap);
}
return results;
}
在index.html中配置高亮效果:
<!--标题-->
<p class="productTitle">
<a v-html="result.name"></a>
</p>