ElasticSearch7.6.2
ElasticSearch7.6.2
本文章中的内容，博主学习至B站《狂神说Java》：https://www.bilibili.com/video/BV17a4y1x7zq
最终成果为爬取京东网站商品内容，插入Elasticsearch的索引中，再从索引中查询出并查询关键字高亮显示到本地网页中。
1，创建springboot项目，导入elasticsearch的依赖以及解析网页jsoup依赖和阿里巴巴的fastjson依赖；
<dependency>
<groupId>org.elasticsearch.client</groupId>
<artifactId>elasticsearch-rest-high-level-client</artifactId>
<version>7.6.2</version>
</dependency>
<!--解析网页-->
<dependency>
<groupId>org.jsoup</groupId>
<artifactId>jsoup</artifactId>
<version>1.10.2</version>
</dependency>
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>fastjson</artifactId>
<version>1.2.62</version>
</dependency>2，保证本地的版本和依赖版本一致
<properties>
<java.version>1.8</java.version>
<!--对照本地ElasticSearch的版本-->
<elasticsearch.version>7.6.2</elasticsearch.version>
</properties>3，创建工具类，用来爬取网页信息
package com.qindi.utils;
import com.qindi.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.URL;
import java.util.ArrayList;
@Component
public class HtmlParseUtil {
//测试可以拿到数据
public static void main(String[] args) throws IOException {
new HtmlParseUtil().parseJD("玩具"+"&enc=utf-8").forEach(System.out::println);
}
public ArrayList<Content> parseJD(String keywords) throws IOException {
String url = "https://search.jd.com/Search?keyword="+keywords;
//解析网页（jsoup返回Document就是浏览器的Document对象）
Document document = Jsoup.parse(new URL(url), 30000);
//在js中使用的方法都能用
Element element = document.getElementById("J_goodsList");
//获取所有的li元素
Elements elements = element.getElementsByTag("li");
ArrayList<Content> goodsList = new ArrayList<>();
//获取元素的内容，le是每一个li标签
for (Element el : elements) {
String img = el.getElementsByTag("img").eq(0).attr("source-data-lazy-img");
String price = el.getElementsByClass("p-price").eq(0).text();
String title = el.getElementsByClass("p-name").eq(0).text();
Content content = new Content();
content.setImg(img);
content.setPrice(price);
content.setTitle(title);
goodsList.add(content);
}
return goodsList;
}
}4，创建实体类，只获取了标题，价格，图片
package com.qindi.pojo;
import lombok.AllArgsConstructor;
import lombok.Data;
import lombok.NoArgsConstructor;
@Data
@AllArgsConstructor
@NoArgsConstructor
public class Content {
private String title;
private String img;
private String price;
}5，创建elasticsearch对象，连接本地elasticsearch信息
package com.qindi.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 ElasticSearchClientConfig {
@Bean
public RestHighLevelClient restHighLevelClient(){
RestHighLevelClient restHighLevelClient = new RestHighLevelClient(
RestClient.builder(
new HttpHost("127.0.0.1",9200,"http")
)
);
return restHighLevelClient;
}
}
6，将爬取到的数据存储到elasticsearch的索引中，并且实现获取数据实现搜索高亮功能
package com.qindi.service;
import com.alibaba.fastjson.JSON;
import com.qindi.pojo.Content;
import com.qindi.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.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;
@Service
public class ContentService {
@Autowired
private RestHighLevelClient restHighLevelClient;
//1.解析数据放入es索引中
public Boolean parseContent(String keywords) throws IOException {
List<Content> contents = new HtmlParseUtil().parseJD(keywords);
//把查询出的数据放入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 bulk = restHighLevelClient.bulk(bulkRequest, RequestOptions.DEFAULT);
return !bulk.hasFailures();
}
//2.获取数据实现搜索高亮功能
public List<Map<String,Object>> searchPageHighlightBuilder(String keyword,int pageNo,int pageSize) throws IOException {
if (pageNo<=1){
pageNo = 1;
}
//条件搜索
SearchRequest searchRequest = new SearchRequest("jd_goods");
SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
//分页
sourceBuilder.from(pageNo);
sourceBuilder.size(pageSize);
//精准匹配
TermQueryBuilder termQueryBuilder = QueryBuilders.termQuery("title", keyword);
sourceBuilder.query(termQueryBuilder);
sourceBuilder.timeout(new TimeValue(60, TimeUnit.SECONDS));
//高亮
HighlightBuilder highlightBuilder = new HighlightBuilder();
highlightBuilder.field("title");
highlightBuilder.requireFieldMatch(false);//关闭多个高亮
highlightBuilder.preTags("");
highlightBuilder.postTags("");
sourceBuilder.highlighter(highlightBuilder);
//执行搜索
searchRequest.source(sourceBuilder);
SearchResponse searchResponse = restHighLevelClient.search(searchRequest, RequestOptions.DEFAULT);
//解析结果
ArrayList<Map<String,Object>> list = new ArrayList<>();
for (SearchHit documentFields : searchResponse.getHits().getHits()) {
//解析高亮的字段
Map<String, HighlightField> highlightFields = documentFields.getHighlightFields();
HighlightField title = highlightFields.get("title");
Map<String,Object> sourceAsMap = documentFields.getSourceAsMap();//原来的结果
//解析高亮字段
if (title!=null){
Text[] fragments = title.fragments();
String n_title = "";
for (Text text : fragments) {
n_title += text;
}
sourceAsMap.put("title",n_title); //高亮字段替换掉原来的内容
}
list.add(sourceAsMap);
}
return list;
}
}
7.Controller
package com.qindi.controller;
import com.qindi.service.ContentService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.PathVariable;
import org.springframework.web.bind.annotation.RestController;
import java.io.IOException;
import java.util.List;
import java.util.Map;
@RestController
public class ContentController {
@Autowired
private ContentService contentService;
@GetMapping("/parse/{keywords}")
private Boolean parse(@PathVariable("keywords") String keywords) throws IOException {
return contentService.parseContent(keywords);
}
@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.searchPageHighlightBuilder(keyword,pageNo,pageSize);
}
}
8，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}"/>
</head>
<body class="pg">
<div class="page" id="app">
<div id="mallPage" 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" value="dd" 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>{{result.price}}</em>
</p>
<!--标题-->
<p class="productTitle">
<a v-html="result.title"> </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>
<!--前端使用vue-->
<script th:src="@{/js/axios.min.js}"></script>
<script th:src="@{/js/vue.min.js}"></script>
<script>
new Vue({
el:'#app',
data:{
keyword:"",//搜索关键字
results:[] //搜索结果
},
methods:{
searchKey(){
var keyword = this.keyword;
console.log(keyword);
//对接后端接口
//axios.get("parse/"+keyword+"&enc=utf-8")
axios.get("search/"+keyword+"/1/10").then(response=>{
console.log(response);
this.results = response.data;
})
}
}
})
</script>
</body>
</html>