ElasticSearch-ElasticSearch实战-仿京东商城搜索（高亮）
注：此为笔者学习狂神说ElasticSearch的实战笔记，其中包含个人的笔记和理解，仅做学习笔记之用，更多详细资讯请出门左拐B站：狂神说!!!
七、ElasticSearch实战
仿京东商城搜索（高亮）
1、工程创建（springboot）
目录结构
2、基本编码
①导入依赖
<properties>
<java.version>1.8java.version>
<project.build.sourceEncoding>UTF-8project.build.sourceEncoding>
<project.reporting.outputEncoding>UTF-8project.reporting.outputEncoding>
<spring-boot.version>2.3.7.RELEASEspring-boot.version>
properties>
<dependencies>
<dependency>
<groupId>org.jsoupgroupId>
<artifactId>jsoupartifactId>
<version>1.10.2version>
dependency>
<dependency>
<groupId>com.alibabagroupId>
<artifactId>fastjsonartifactId>
<version>1.2.70version>
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.bootgroupId>
<artifactId>spring-boot-devtoolsartifactId>
<scope>runtimescope>
<optional>trueoptional>
dependency>
<dependency>
<groupId>org.springframework.bootgroupId>
<artifactId>spring-boot-configuration-processorartifactId>
<optional>trueoptional>
dependency>
<dependency>
<groupId>org.projectlombokgroupId>
<artifactId>lombokartifactId>
<optional>trueoptional>
dependency>
②导入前端素材
③编写 application.preperties配置文件
# 更改端口，防止冲突
server.port=9999
# 关闭thymeleaf缓存
spring.thymeleaf.cache=false
④测试controller和view
@Controller
public class IndexController {
@GetMapping({"/","index"})
public String index(){
return "index";
}
}
到这里可以先去编写爬虫，编写之后，回到这里
⑤编写Config
@Configuration
public class ElasticSearchConfig {
@Bean
public RestHighLevelClient restHighLevelClient(){
RestHighLevelClient client = new RestHighLevelClient(
RestClient.builder(
new HttpHost("127.0.0.1",9200,"http")
)
);
return client;
}
}
⑥编写service
因为是爬取的数据，那么就不走Dao，以下编写都不会编写接口，开发中必须严格要求编写
ContentService
@Service
public class ContentService {
@Autowired
private RestHighLevelClient restHighLevelClient;
// 1、解析数据放入 es 索引中
public Boolean parseContent(String keyword) throws IOException {
// 获取内容
List<Content> contents = HtmlParseUtil.parseJD(keyword);
// 内容放入 es 中
BulkRequest bulkRequest = new BulkRequest();
bulkRequest.timeout("2m"); // 可更具实际业务是指
for (int i = 0; i < contents.size(); i++) {
bulkRequest.add(
new IndexRequest("jd_goods")
.id(""+(i+1))
.source(JSON.toJSONString(contents.get(i)), XContentType.JSON)
);
}
BulkResponse bulk = restHighLevelClient.bulk(bulkRequest, RequestOptions.DEFAULT);
restHighLevelClient.close();
return !bulk.hasFailures();
}
// 2、根据keyword分页查询结果
public List<Map<String, Object>> search(String keyword, Integer pageIndex, Integer pageSize) throws IOException {
if (pageIndex < 0){
pageIndex = 0;
}
SearchRequest jd_goods = new SearchRequest("jd_goods");
// 创建搜索源建造者对象
SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
// 条件采用：精确查询 通过keyword查字段name
TermQueryBuilder termQueryBuilder = QueryBuilders.termQuery("name", keyword);
searchSourceBuilder.query(termQueryBuilder);
searchSourceBuilder.timeout(new TimeValue(60, TimeUnit.SECONDS));// 60s
// 分页
searchSourceBuilder.from(pageIndex);
searchSourceBuilder.size(pageSize);
// 高亮
// ....
// 搜索源放入搜索请求中
jd_goods.source(searchSourceBuilder);
// 执行查询，返回结果
SearchResponse searchResponse = restHighLevelClient.search(jd_goods, RequestOptions.DEFAULT);
restHighLevelClient.close();
// 解析结果
SearchHits hits = searchResponse.getHits();
List<Map<String,Object>> results = new ArrayList<>();
for (SearchHit documentFields : hits.getHits()) {
Map<String, Object> sourceAsMap = documentFields.getSourceAsMap();
results.add(sourceAsMap);
}
// 返回查询的结果
return results;
}
}
⑦编写controller
⑧测试结果
1、解析数据放入 es 索引中
2、根据keyword分页查询结果
报错
java.lang.IllegalStateException: Request cannot be executed; I/O reactor status: STOPPED
一般是因为OTSClient被调用了shutDown，其内部的I/O reactor均已被关闭。如果此时再调用OTSClient进行读写，则会抛出这个错误。 此处是：restHighLevelClient
3、爬虫（jsoup）
数据获取：数据库、消息队列、爬虫、…
①搜索京东搜索页面，并分析页面
http://search.jd.com/search?keyword=java
页面如下
审查页面元素
页面列表id：J_goodsList
目标元素：img、price、name
②爬取数据（获取请求返回的页面信息，筛选出可用的）
创建HtmlParseUtil，并简单编写
public class HtmlParseUtil {
public static void main(String[] args) throws IOException {
/// 使用前需要联网
// 请求url
String url = "http://search.jd.com/search?keyword=java";
// 1.解析网页(jsoup 解析返回的对象是浏览器Document对象)
Document document = Jsoup.parse(new URL(url), 30000);
// 使用document可以使用在js对document的所有操作
// 2.获取元素（通过id）
Element j_goodsList = document.getElementById("J_goodsList");
// 3.获取J_goodsList ul 每一个 li
Elements lis = j_goodsList.getElementsByTag("li");
// 4.获取li下的 img、price、name
for (Element li : lis) {
String img = li.getElementsByTag("img").eq(0).attr("src");// 获取li下 第一张图片
String name = li.getElementsByClass("p-name").eq(0).text();
String price = li.getElementsByClass("p-price").eq(0).text();
System.out.println("=======================");
System.out.println("img : " + img);
System.out.println("name : " + name);
System.out.println("price : " + price);
}
}
}
运行结果
原因是啥？
一般图片特别多的网站，所有的图片都是通过延迟加载的
发现img标签中并没有属性src的设置，只是data-lazy-img设置图片加载的地址
创建HtmlParseUtil、改写
- 更改图片获取属性为
data-lazy-img - 与实体类结合，实体类如下
@Data
@AllArgsConstructor
@NoArgsConstructor
public class Content implements Serializable {
private static final long serialVersionUID = -8049497962627482693L;
private String name;
private String img;
private String price;
}
- 封装为方法
public class HtmlParseUtil {
public static void main(String[] args) throws IOException {
System.out.println(parseJD("java"));
}
public static List<Content> parseJD(String keyword) throws IOException {
/// 使用前需要联网
// 请求url
String url = "http://search.jd.com/search?keyword=" + keyword;
// 1.解析网页(jsoup 解析返回的对象是浏览器Document对象)
Document document = Jsoup.parse(new URL(url), 30000);
// 使用document可以使用在js对document的所有操作
// 2.获取元素（通过id）
Element j_goodsList = document.getElementById("J_goodsList");
// 3.获取J_goodsList ul 每一个 li
Elements lis = j_goodsList.getElementsByTag("li");
// System.out.println(lis);
// 4.获取li下的 img、price、name
// list存储所有li下的内容
List<Content> contents = new ArrayList<Content>();
for (Element li : lis) {
// 由于网站图片使用懒加载，将src属性替换为data-lazy-img
String img = li.getElementsByTag("img").eq(0).attr("data-lazy-img");// 获取li下 第一张图片
String name = li.getElementsByClass("p-name").eq(0).text();
String price = li.getElementsByClass("p-price").eq(0).text();
// 封装为对象
Content content = new Content(name,img,price);
// 添加到list中
contents.add(content);
}
// System.out.println(contents);
// 5.返回 list
return contents;
}
}
结果展示
4、搜索高亮
在3、的基础上添加内容
①ContentService
// 3、 在2的基础上进行高亮查询
public List<Map<String, Object>> highlightSearch(String keyword, Integer pageIndex, Integer pageSize) throws IOException {
SearchRequest searchRequest = new SearchRequest("jd_goods");
SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
// 精确查询，添加查询条件
TermQueryBuilder termQueryBuilder = QueryBuilders.termQuery("name", keyword);
searchSourceBuilder.timeout(new TimeValue(60, TimeUnit.SECONDS));
searchSourceBuilder.query(termQueryBuilder);
// 分页
searchSourceBuilder.from(pageIndex);
searchSourceBuilder.size(pageSize);
// 高亮 =========
HighlightBuilder highlightBuilder = new HighlightBuilder();
highlightBuilder.field("name");
highlightBuilder.preTags("");
highlightBuilder.postTags("");
searchSourceBuilder.highlighter(highlightBuilder);
// 执行查询
searchRequest.source(searchSourceBuilder);
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()) {
// 使用新的字段值（高亮），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");
// 替换
if (name != null){
Text[] fragments = name.fragments();
StringBuilder new_name = new StringBuilder();
for (Text text : fragments) {
new_name.append(text);
}
sourceAsMap.put("name",new_name.toString());
}
results.add(sourceAsMap);
}
return results;
}
②ContentController
替换高亮的方法
@ResponseBody
@GetMapping("/h_search/{keyword}/{pageIndex}/{pageSize}")
public List<Map<String, Object>> highlightParse(@PathVariable("keyword") String keyword,
@PathVariable("pageIndex") Integer pageIndex,
@PathVariable("pageSize") Integer pageSize) throws IOException {
return contentService.highlightSearch(keyword,pageIndex,pageSize);
}
③结果展示
最终页面
5、前后端分离（简单使用Vue）
①下载并引入Vue.min.js和axios.js
下载失败报错，试试初始化一下npm
npm install vue
npm install axios
导入vue.min.js和axios.min.js
②修改静态页面
引入js
<script th:src="@{/js/vue.min.js}">script>
<script th:src="@{/js/axios.min.js}">script>
实现数据的双向绑定
绑定点击事件，去掉事件冒泡
遍历数据
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 ">
<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" 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="result in results">
<div class="product-iWrap">
<div class="productImg-wrap">
<a class="productImg">
<img :src="result.img">
a>
div>
<p class="productPrice">
<em v-text="result.price">em>
p>
<p class="productTitle">
<a v-html="result.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>
测试
ElasticSearch-ElasticSearch实战-仿京东商城搜索（高亮） 到此完结，笔者归纳、创作不易，大佬们给个3连再起飞吧