elasticsearch快速入门，一篇就够了，上手使用！
elasticsearch
spring整合es
1.导入依赖
<dependency>
<groupId>org.springframework.bootgroupId>
<artifactId>spring-boot-starter-data-elasticsearchartifactId>
dependency>
<dependency>
<groupId>com.alibabagroupId>
<artifactId>fastjsonartifactId>
<version>2.0.7.graalversion>
dependency>
2.配置类
初始化配置bean,扔到ioc容器内
host链接–>builder–>RestHighLevelClient
@Configuration
public class ElasticSearchConfig {
@Value("${spring.elasticsearch.uris}")
private String httpPath;
@Bean
RestHighLevelClient restHighLevelClient(){
HttpHost host = HttpHost.create(httpPath);//创建httpHost
RestClientBuilder builder = RestClient.builder(host);//根据host建立此属性的服务器
RestHighLevelClient client = new RestHighLevelClient(builder);//创建服务器对象
return client;
}
}
3.测试类
@Autowired
@Qualifier("restHighLevelClient")//避免按名称找不到
private RestHighLevelClient restHighLevelClient;
/**
*测试
**/
//创建索引 client.indices().create()
@Test
void TestCreateIndex() throws IOException {
CreateIndexRequest request = new CreateIndexRequest("user");
CreateIndexResponse createIndexResponse = restHighLevelClient.indices().create(request, RequestOptions.DEFAULT);
System.out.println(createIndexResponse);
}
//删除索引 client.indices().delete()
@Test
void TestDeleteIndex() throws IOException {
DeleteIndexRequest request = new DeleteIndexRequest("user2");
//delete
AcknowledgedResponse delete = restHighLevelClient.indices().delete(request,RequestOptions.DEFAULT);
System.out.println(delete);
}
//添加文档 client.index()
@Test
void TestAddDocument() throws IOException {
User user = new User();
user.setUsername("zhangsan");
user.setAge(20);
//创建请求
IndexRequest request = new IndexRequest("user");
//规则：put /indexName/_doc/1
request.id("2");
request.timeout(TimeValue.timeValueSeconds(1));
request.timeout("5s");
//数据放入请求
request.source(JSON.toJSONString(user), XContentType.JSON);
//向客户端发送请求，获取响应结果
IndexResponse indexResponse = restHighLevelClient.index(request, RequestOptions.DEFAULT);//这里用的index
System.out.println(indexResponse.toString());
//命令返回的状态
System.out.println(indexResponse.status());
}
//获取文档，判断是否存在 get /index/doc/1
@Test
void TestIfExist() throws IOException {
GetRequest getRequest = new GetRequest("user","2");
//请求发送出去,得到响应
GetResponse getResponse = restHighLevelClient.get(getRequest, RequestOptions.DEFAULT);
System.out.println(getResponse.getSourceAsString());//要看的是响应内的资源
System.out.println(getResponse);
}
//更新文档的信息 updateRequest.doc(实体的json) client.update(请求)
@Test
void TestUpdateDocument() throws IOException {
UpdateRequest updateRequest = new UpdateRequest("user","2");
updateRequest.timeout("5s");
User user = new User();
user.setUsername("蟹老板");
user.setAge(40);
updateRequest.doc(JSON.toJSONString(user),XContentType.JSON);
UpdateResponse updateResponse = restHighLevelClient.update(updateRequest, RequestOptions.DEFAULT);//发送请求
System.out.println(updateResponse.status());
}
//删除文档信息
@Test
void TestDeleteDocumentInfo() throws IOException {
DeleteRequest request = new DeleteRequest("user","2");
request.timeout("5s");
//发送请求
DeleteResponse deleteResponse = restHighLevelClient.delete(request, RequestOptions.DEFAULT);
System.out.println(deleteResponse);
}
//批量插入数据
@Test
void TestBulkRequest() throws IOException {
BulkRequest bulkRequest = new BulkRequest();//存放一堆请求
bulkRequest.timeout("10s");
List<User> list = new ArrayList<>();
list.add(new User("zysheep1", 1));
list.add(new User("zysheep2", 2));
list.add(new User("zysheep3", 3));
list.add(new User("zysheep4", 5));
list.add(new User("zysheep5", 6));
list.add(new User("zysheep7", 7));
for(int i=0;i<list.size();i++){
bulkRequest.add(new IndexRequest("user").id(""+(i+1)).source(JSON.toJSONString(list.get(i)),XContentType.JSON));
}
//发送
BulkResponse bulkResponse = restHighLevelClient.bulk(bulkRequest, RequestOptions.DEFAULT);
System.out.println(bulkResponse);
}
//查询
/**
* 查询
* SearchRequest 搜索请求
* SearchSourceBuilder 条件构造
* HighlightBuilder 构建高亮
* TermQueryBuilder 精确查询
* MatchAllQueryBuilder匹配所有
* QueryBuilder 对应我们刚才看到的命令！
* 查询条件，我们可以使用 QueryBuilders 工具来实现
* QueryBuilders.termQuery 精确
* QueryBuilders.matchAllQuery() 匹配所有
*/
@Test
void TestSearch() throws IOException {
SearchRequest searchRequest = new SearchRequest("user");
//构建搜索条件,这里且设置高亮
SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
searchSourceBuilder.highlighter();//高亮
//精确查询
TermQueryBuilder termQueryBuilder = QueryBuilders.termQuery("username","zysheep1");
searchSourceBuilder.query(termQueryBuilder);
searchSourceBuilder.timeout(new TimeValue(60, TimeUnit.SECONDS));
searchRequest.source(searchSourceBuilder);
SearchResponse searchResponse = restHighLevelClient.search(searchRequest, RequestOptions.DEFAULT);
System.out.println(searchResponse.getHits());
for(SearchHit hit : searchResponse.getHits().getHits()){
System.out.println(hit.getSourceAsMap());
}
}
项目实战
1.导入依赖
<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>
<dependency>
<groupId>org.springframework.bootgroupId>
<artifactId>spring-boot-starter-testartifactId>
<scope>testscope>
dependency>
dependencies>
2.导入前端素材
链接：https://pan.baidu.com/s/1M5uWdYsCZyzIAOcgcRkA_A
提取码：qk8p
复制这段内容后打开百度网盘手机App，操作更方便哦
3.application配置文件
server:
port: 80
spring:
elasticsearch:
uris: http://localhost:9200
#关闭thymeleaf缓存
thymeleaf:
cache: false
4.先来测试一下controller和view
@Controller
public class IndexController {
@GetMapping("/index")
public String index(){
return "/index";
}
}
如果说是无法解析MVC视图的就导入一下下面这个依赖
<dependency>
<groupId>org.thymeleafgroupId>
<artifactId>thymeleaf-spring5artifactId>
dependency>
测试结果：
5.爬取jd官网的数据
@Component
public class HtmlParseUtil {
public static List<Content> parseJD (String keywords) throws Exception {
//获取请求
String url = "https://search.jd.com/Search?keyword="+keywords;
//解析网页
Document document = Jsoup.parse(new URL(url),30000);
Element element = document.getElementById("J_goodsList");
//获取所有的li元素
Elements elements = element.getElementsByTag("li");
//System.out.println(elements.html());
List<Content> goodsList = new ArrayList<>();
//获取所有的li元素
for(Element el:elements){
//关于图片：所有的图片都是延迟加载的
String img = el.getElementsByTag("img").eq(0).attr("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.setTitle(title);
content.setImg(img);
content.setPrice(price);
goodsList.add(content);
}
return goodsList;
}
//测试获取
public static void main(String[] args) throws Exception {
new HtmlParseUtil().parseJD("代码").forEach(System.out::println);
}
}
6.config类
elasticsearchConfig类---->restHighLevelClient放入ioc
@Configuration
public class ElasticSearchConfig {
@Value("${spring.elasticsearch.uris}")
private String httpPath;
@Bean
RestHighLevelClient restHighLevelClient(){
HttpHost host = HttpHost.create(httpPath);//创建httpHost
RestClientBuilder builder = RestClient.builder(host);//根据host建立此属性的服务器
RestHighLevelClient client = new RestHighLevelClient(builder);//创建服务器对象
return client;
}
}
7.service层
@Service
public class ContentService {
@Autowired
private RestHighLevelClient restHighLevelClient;
//1.解析数据放入es
public Boolean parseContent(String keywords) throws Exception {
//获取数据
List<Content> contents = HtmlParseUtil.parseJD(keywords);
//将内容放入es
BulkRequest bulkRequest = new BulkRequest();
bulkRequest.timeout("2m");
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();
}
}
基本查询的步骤:
1.QueryBuilders.termQuery("title",keyWord) 然后形成精准查询termQueryBuilder
2.将精准查询ilder
3.将搜索资源放入搜索请求searchRequest
4.将请求给Client然后执行请求即可
//获取这些数据实现搜索功能
public List<Map<String,Object>> searchPage(String keyWord,int pageNo,int pageSize) throws IOException {
if(pageNo<=1){
pageNo=1;
}
//建立查询请求和请求资源
SearchRequest searchRequest = new SearchRequest("jd_goods");
SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
//分页功能
searchSourceBuilder.from(pageNo);
searchSourceBuilder.size(pageSize);
//精准查询
TermQueryBuilder termQueryBuilder = QueryBuilders.termQuery("title",keyWord);
//精准查询放入资源，且进行设置时限
searchSourceBuilder.query(termQueryBuilder);
searchSourceBuilder.timeout(new TimeValue(60, TimeUnit.SECONDS));
//资源放入查询请求
searchRequest.source(searchSourceBuilder);
//交给客户端
SearchResponse searchResponse = restHighLevelClient.search(searchRequest, RequestOptions.DEFAULT);
//解析结果
ArrayList<Map<String, Object>> list = new ArrayList<>();
for (SearchHit documentFields : searchResponse.getHits().getHits()) {
list.add(documentFields.getSourceAsMap());
}
return list;
}
8.controller层
@Controller
public class IndexController {
@Autowired
private ContentService contentService;
@GetMapping("/index")
public String index(){
return "/index";
}
@ResponseBody
@GetMapping("/parse/{keyword}") //感觉关键词去京东官网爬取数据然后保存到ES
public Boolean parse(@PathVariable("keyword") String keyword) throws Exception {
return contentService.parseContent(keyword);
}
@ResponseBody
@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.searchPage(keyword, pageNo, pageSize);
}
}
9.view层
✒️导入Vue和axios : 创建个文档然后node.js即可
npm init
npm install vue
npm install axios
部分html
<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="keywords" type="text" autocomplete="off" value="dd" id="mq"
class="s-combobox-input" aria-haspopup="true">
div>
div>
<button type="submit" id="searchbtn" @click.prevent="searchKey">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 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><b>¥b>{{result.price}}em>
p>
<p class="productTitle">
<a>{{result.title}}<a>
p>
<div class="productShop">
<span>店铺: wxp的小黑店 span>
div>
<p class="productStatus">
<span>月成交<em>999笔em>span>
<span>评价 <a>3a>span>
p>
div>
div>
div>
<script th:src="@{/js/axios.min.js}">script>
<script th:src="@{/js/vue.js}">script>
<script>
new Vue({
el:'#app',
data:{
keyword:'',//关键词
results:[]//搜索的结果
},
methods:{
searchKey(){
var keyword = this.keyword;
//对接后端接口
axios.get('search/' + keyword + "/1/10").then(resp=>{
this.results = resp.data;
})
}
}
})
script>
elasticsearch
ElasticSearch 的 Client
ElasticSearch 官方提供了 3 个 Client，具体如下：
- org.elasticsearch.client.transport.TransportClient
- org.elasticsearch.client.RestClient
- org.elasticsearch.client.RestHighLevelClient
TransportClient 位于 Elasticsearch 包下，是 Elasticsearch 官方早期支持的 ElasticSearch Client，但是在 ElasticSearch 7.x 版本中已经标注为 Deprecated，并且将在 8.0 版本中移除，所以建议不使用 TransportClient 作为 ElasticSearch Client。
RestHighLevelClient 是 TransportClient 的直接替代者，也是 ElasticSearch 官方推荐和默认的 Client（松哥注：该客户端在最新版本中已经废弃）。
除了 ElasticSearch 官方提供的 Client，spring-data-elasticsearch 还支持响应式的客户端 ReactiveElasticsearchClient。ReactiveElasticsearchClient 是基于 WebClient 技术实现的 ElasticSearch Client，依赖于 Spring 的响应式栈。响应式栈在本书中不会涉及。
client.transport.TransportClient
- org.elasticsearch.client.RestClient
- org.elasticsearch.client.RestHighLevelClient
TransportClient 位于 Elasticsearch 包下，是 Elasticsearch 官方早期支持的 ElasticSearch Client，但是在 ElasticSearch 7.x 版本中已经标注为 Deprecated，并且将在 8.0 版本中移除，所以建议不使用 TransportClient 作为 ElasticSearch Client。
RestHighLevelClient 是 TransportClient 的直接替代者，也是 ElasticSearch 官方推荐和默认的 Client（松哥注：该客户端在最新版本中已经废弃）。
除了 ElasticSearch 官方提供的 Client，spring-data-elasticsearch 还支持响应式的客户端 ReactiveElasticsearchClient。ReactiveElasticsearchClient 是基于 WebClient 技术实现的 ElasticSearch Client，依赖于 Spring 的响应式栈。响应式栈在本书中不会涉及。