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>1.8</java.version><project.build.sourceEncoding>UTF-8</project.build.sourceEncoding><project.reporting.outputEncoding>UTF-8</project.reporting.outputEncoding><spring-boot.version>2.3.7.RELEASE</spring-boot.version></properties><dependencies><!-- jsoup解析页面 --><!-- 解析网页 爬视频可 研究tiko --><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><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-data-elasticsearch</artifactId>
<!-- <version>7.6.1</version>--></dependency><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-thymeleaf</artifactId></dependency><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-web</artifactId></dependency><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><dependency><groupId>org.projectlombok</groupId><artifactId>lombok</artifactId><optional>true</optional></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 {@Beanpublic 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 {@Autowiredprivate 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nameTermQueryBuilder 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urlString 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 liElements lis = j_goodsList.getElementsByTag("li");// 4.获取li下的 img、price、namefor (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urlString 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 liElements 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-imgString 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 listreturn 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("<span style='color:red'>");highlightBuilder.postTags("</span>");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 "><!-- 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 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