前言
**Elasticsearch是一个开源的分布式、RESTful 风格的搜索和数据分析引擎,它的底层是开源库Apache Lucene。
Lucene 可以说是当下最先进、高性能、全功能的搜索引擎库——无论是开源还是私有,但它也仅仅只是一个库。为了充分发挥其功能,你需要使用 Java 并将 Lucene 直接集成到应用程序中。 更糟糕的是,您可能需要获得信息检索学位才能了解其工作原理,因为Lucene 非常复杂。
为了解决Lucene使用时的繁复性,于是Elasticsearch便应运而生。它使用 Java 编写,内部采用 Lucene 做索引与搜索,但是它的目标是使全文检索变得更简单,简单来说,就是对Lucene 做了一层封装,它提供了一套简单一致的 RESTful API 来帮助我们实现存储和检索。
特点:
- 一个分布式的实时文档存储,每个字段可以被索引与搜索;
- 一个分布式实时分析搜索引擎;
- 能胜任上百个服务节点的扩展,并支持 PB 级别的结构化或者非结构化数据。**
一、Spring Boot 集成 ElasticSearch 7.6.0
pom.xml
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-elasticsearch</artifactId>
</dependency>
<!-- https://mvnrepository.com/artifact/org.elasticsearch.client/transport -->
<dependency>
<groupId>org.elasticsearch.client</groupId>
<artifactId>transport</artifactId>
<version>7.6.0</version>
</dependency>
<!-- java解析网页 -->
<dependency>
<groupId>org.jsoup</groupId>
<artifactId>jsoup</artifactId>
<version>1.10.2</version>
</dependency>
ElasticsearchConfig
/**
* @Author: Lanys
* @Description:
* @Date: Create in 22:07 2021/7/27
*/
@Configuration
public class ElasticsearchConfig {
@Bean
public RestHighLevelClient restHighLevelClient(){
RestHighLevelClient restHighLevelClient = new RestHighLevelClient(
RestClient.builder(new HttpHost("127.0.0.1",9200,"http")));
return restHighLevelClient;
}
}
EsJdController
/**
* @author lanys
* @Description:
* @date 28/7/2021 上午9:24
*/
@RestController
public class EsJdController {
@Autowired
private EsJdService esJdService;
@GetMapping("/parse/{keyword}")
public boolean parse(@PathVariable("keyword") String keyword) throws Exception {
return esJdService.parseContent(keyword);
}
@GetMapping("/search/{keyword}/{pageNo}/{pageSize}")
public List<Map<String, Object>> search(@PathVariable("keyword") String keyword,
@PathVariable("pageNo") Integer pageNo,
@PathVariable("pageSize") Integer pageSize) throws Exception {
return esJdService.searchPage(keyword, pageNo, pageSize);
}
@GetMapping("/gaoliang/search/{keyword}/{pageNo}/{pageSize}")
public List<Map<String, Object>> gaoLiangSearch(@PathVariable("keyword") String keyword,
@PathVariable("pageNo") Integer pageNo,
@PathVariable("pageSize") Integer pageSize) throws Exception {
return esJdService.searchGaoLiangPage(keyword, pageNo, pageSize);
}
}
EsJdService
/**
* @author lanys
* @Description:
* @date 28/7/2021 上午9:26
*/
@Service
public class EsJdService {
@Autowired
private RestHighLevelClient restHighLevelClient;
public boolean parseContent(String keywords) throws Exception {
List<Content> contents = JsoupUtils.parseJD(keywords);
BulkRequest req = new BulkRequest();
req.timeout("3m");
for (int i = 0; i < contents.size(); i++) {
req.add(new IndexRequest("es_jd")
.source(JSON.toJSONString(contents.get(i)), XContentType.JSON));
}
BulkResponse resp = restHighLevelClient.bulk(req, RequestOptions.DEFAULT);
return !resp.hasFailures();
}
public List<Map<String, Object>> searchPage(String keyword, int pageNo, int pageSize) throws Exception {
if (pageNo <= 1) {
pageNo = 1;
}
SearchRequest searchRequest = new SearchRequest("es_jd");
SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
sourceBuilder.from(pageNo);
sourceBuilder.size(pageSize);
TermQueryBuilder termQueryBuilder = QueryBuilders.termQuery("title", keyword);
sourceBuilder.query(termQueryBuilder);
sourceBuilder.timeout(new TimeValue(60, TimeUnit.SECONDS));
searchRequest.source(sourceBuilder);
SearchResponse searchResponse = restHighLevelClient.search(searchRequest, RequestOptions.DEFAULT);
ArrayList<Map<String, Object>> list = new ArrayList<>();
for (SearchHit documentFields : searchResponse.getHits().getHits()) {
list.add(documentFields.getSourceAsMap());
}
return list;
}
public List<Map<String, Object>> searchGaoLiangPage(String keyword, int pageNo, int pageSize) throws Exception {
if (pageNo <= 1) {
pageNo = 1;
}
SearchRequest searchRequest = new SearchRequest("es_jd");
SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
HighlightBuilder highlighBuilder = new HighlightBuilder();
highlighBuilder.field("title");
highlighBuilder.requireFieldMatch(false);
highlighBuilder.preTags("<span style='color:red'>");
highlighBuilder.postTags("</span>");
sourceBuilder.highlighter(highlighBuilder);
sourceBuilder.from(pageNo);
sourceBuilder.size(pageSize);
TermQueryBuilder termQueryBuilder = QueryBuilders.termQuery("title", keyword);
sourceBuilder.query(termQueryBuilder);
sourceBuilder.timeout(new TimeValue(60, TimeUnit.SECONDS));
searchRequest.source(sourceBuilder);
SearchResponse searchResponse = restHighLevelClient.search(searchRequest, RequestOptions.DEFAULT);
ArrayList<Map<String, Object>> list = new ArrayList<>();
for (SearchHit documentFields : searchResponse.getHits().getHits()) {
Map<String, HighlightField> highlightFields = documentFields.getHighlightFields();
HighlightField title = highlightFields.get("title");
Map<String, Object> sourceAsMap = documentFields.getSourceAsMap();
if (title != null) {
Text[] texts = title.fragments();
String nTitle = "";
for (Text text : texts) {
nTitle += text;
}
sourceAsMap.put("title", nTitle);
}
list.add(sourceAsMap);
}
return list;
}
}
JsoupUtils(java版简单爬虫js)
/**
* @author lanys
* @Description:
* @date 28/7/2021 上午9:28
*/
@Component
public class JsoupUtils {
public static List<Content> parseJD(String keywords) throws Exception {
String url = "https://search.jd.com/Search?keyword=" + keywords;
Document document = Jsoup.parse(new URL(url), 30000);
Element element = document.getElementById("J_goodsList");
Elements elements = element.getElementsByTag("li");
ArrayList<Content> goodsList = new ArrayList<>();
for (Element el : elements) {
String img = el.getElementsByTag("img").eq(0).attr("data-lazy-img");
String title = el.getElementsByClass("p-name").eq(0).text();
String price = el.getElementsByClass("p-price").eq(0).text();
goodsList.add(new Content(title, price, img));
}
return goodsList;
}
}
IndexController
/**
* @author lanys
* @Description:
* @date 28/7/2021 上午9:25
*/
@Controller
public class IndexController {
@GetMapping({"/", "/index"})
public String index() {
return "index";
}
}
index.html
<!DOCTYPE html>
<html lang="en" xmlns:th="http://www.thymeleaf.org">
<head>
<meta charset="utf-8"/>
<title>Java-ES仿京东实战</title>
<style type="text/css">
@import url("css/style.css");
</style>
</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=""
id="mq" class="s-combobox-input" aria-haspopup="true">
</div>
</div>
<button @click.prevent='searchKey()' type="submit" id="searchbtn">搜索</button>
</div>
</fieldset>
</form>
<ul class="relKeyTop">
<li><a>Java</a></li>
<li><a>前端</a></li>
<li><a>Linux</a></li>
<li><a>大数据</a></li>
<li><a>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="#"> </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><b>¥</b>{{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: 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="js/jquery.min.js"></script>
<script src="js/axios.min.js"></script>
<script src="js/vue.min.js"></script>
<script>
new Vue({
el: '#app',
data: {
keyword: '',
results: []
},
methods: {
searchKey() {
var keyword = this.keyword;
// axios.get('search/' + keyword + '/1/10').then(response => {
// console.log(response.data)
// this.results = response.data
// })
axios.get('http://127.0.0.1:9000/material/gaoliang/search/' + keyword + '/1/10').then(response => {
console.log(response.data)
this.results = response.data
})
}
}
})
</script>
</body>
</html>
输入爬的数据,例如java,js等
例子创建一索引(就是这么简单粗暴):
@Resource
private RestHighLevelClient restHighLevelClient;
/**
* 创建索引
* @throws IOException
*/
@Test
public void Test9() throws IOException {
//1.创建索引请求
CreateIndexRequest request = new CreateIndexRequest("my_user1");
//2.执行创建请求 获得响应 createIndexResponse
CreateIndexResponse createIndexResponse =
restHighLevelClient.indices().create(request, RequestOptions.DEFAULT);
System.out.println(createIndexResponse);
}
总结
这是看B站狂神的整合,这是 ElasticSearch 的一种用法,直接给client Elasticsearch的地址直接调用,而上次讲的 ElasticSearch 6.2.2是整合的IK分词,需要接口继承ElasticsearchRepository,对应实体要有Id和标识。
整合ik分词需继承ElasticsearchRepository,不整合可以直接client 创建