elasticsearch 9300端口连接不上_SpringBoot2.x系列教程54--SpringBoot整合ElasticSearch方式一...

SpringBoot2.x系列教程54--NoSQL之SpringBoot整合ElasticSearch方式一

作者：一一哥

一. Elastic Search

1. Elastic Search简介

ElasticSearch是一个基于Lucene的开源的、分布式实时搜索和分析引擎。它提供了一个分布式多用户能力的全文搜索引擎，基于RESTful web接口。Elasticsearch是用Java开发的，并作为Apache许可条款下的开放源码发布，是当前流行的企业级搜索引擎。

Spring Boot为Elasticsearch提供基本的自动配置，我们可以利用Spring Data Elasticsearch在Spring Boot中进行开发。

2. 搭建配置Elastic Search环境

在利用Elastic Search开发之前，请先搭建好Elastic Search环境，我这里配置了ELK环境。关于ELK环境的搭建，感兴趣的朋友可以自行搜索。

3. Spring Boot与Elastic Search版本关系

在新版本的Spring boot2.x中，spring-boot-starter-data-elasticsearch支持的Elasticsearch版本是2.X，但Elasticsearch实际上已经发展到6.5.X版本了，为了更好的使用Elasticsearch的新特性，我们可以弃用spring-boot-starter-data-elasticsearch依赖，改为直接使用Spring-data-elasticsearch，以便启用对新版本支持，目前的版本对应关系如下:

二. Spring Boot2.2.5整合Elastic Search 5.6.8

1. 环境要求

Spring Boot 2.2.5;
Elastic Search 5.6.8;
Kibana 5.6.8;
Maven

2. 创建web项目

我们按照之前的经验，创建一个web程序，并将之改造成Spring Boot项目，具体过程略。

3. 添加依赖包

<dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-data-elasticsearch</artifactId>
</dependency>

注意：因为我的elastic search 并不是6.5.x以上的最新版本，而是5.6.8版本，所以我这里使用的还是spring-boot-starter-data-elasticsearch的依赖包。

4. 创建application.yml配置文件

# Elasticsearch
# 9200作为Http协议，主要用于外部通讯，而9300作为Tcp协议，是传输层监听的默认端口，jar之间就是通过tcp协议通讯
elasticsearch:#注意cluster.name需要与config/elasticsearch.yml中的cluster.name一致# Elasticsearch cluster name.cluster:name: elasticsearch# Comma-separated list of cluster node addresses.ip: localhostport: 9300pool: 5

elastic search默认的端口号是9300。

5. 创建ElasticSearchConfig配置类

package com.yyg.boot.config;import lombok.extern.slf4j.Slf4j;
import org.elasticsearch.client.Client;
import org.elasticsearch.client.transport.TransportClient;
import org.elasticsearch.common.settings.Settings;
import org.elasticsearch.common.transport.TransportAddress;
import org.elasticsearch.transport.client.PreBuiltTransportClient;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.elasticsearch.core.ElasticsearchOperations;
import org.springframework.data.elasticsearch.core.ElasticsearchTemplate;import java.net.InetAddress;/*** @Author 一一哥Sun* @Date Created in 2020/4/13* @Description Description*/
@Slf4j
@Configuration
public class ElasticSearchConfig {@Value("${elasticsearch.ip}")private String hostName;@Value("${elasticsearch.port}")private String port;@Value("${elasticsearch.cluster.name}")private String clusterName;@Value("${elasticsearch.pool}")private String poolSize;/*** 构建TransportClient对象*/@Bean(name = "transportClient")public TransportClient transportClient() {log.info("Elasticsearch初始化开始。。。。。");TransportClient transportClient = null;try {// 配置信息Settings esSetting = Settings.builder()//集群名字.put("cluster.name", clusterName)//增加嗅探机制，找到ES集群.put("client.transport.sniff", true)//增加线程池个数，暂时设为5.put("thread_pool.search.size", Integer.parseInt(poolSize)).build();//配置信息Settings自定义transportClient = new PreBuiltTransportClient(esSetting);TransportAddress transportAddress = new TransportAddress(InetAddress.getByName(hostName), Integer.valueOf(port));transportClient.addTransportAddresses(transportAddress);} catch (Exception e) {log.error("elasticsearch TransportClient create error!!", e);}return transportClient;}/*** 构建ElasticsearchTemplate对象*/@Beanpublic ElasticsearchOperations elasticsearchTemplate() {Client client = transportClient();if (client != null) {return new ElasticsearchTemplate(client);} else {//弹出异常对象throw new RuntimeException("初始化Elasticsearch失败!");}}}

6. 创建增删改查接口

我这里直接使用TransportClient进行增删改查，后面的章节中，我会讲解简化方案。

package com.yyg.boot.web;import org.elasticsearch.action.get.GetResponse;
import org.elasticsearch.action.index.IndexResponse;
import org.elasticsearch.action.search.SearchRequestBuilder;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.action.search.SearchType;
import org.elasticsearch.client.transport.TransportClient;
import org.elasticsearch.common.xcontent.XContentBuilder;
import org.elasticsearch.common.xcontent.XContentFactory;
import org.elasticsearch.index.query.BoolQueryBuilder;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.index.query.RangeQueryBuilder;
import org.elasticsearch.search.SearchHit;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.format.annotation.DateTimeFormat;
import org.springframework.http.HttpStatus;
import org.springframework.http.ResponseEntity;
import org.springframework.web.bind.annotation.*;import java.util.ArrayList;
import java.util.Date;
import java.util.List;
import java.util.Map;/*** @Author 一一哥Sun* @Date Created in 2020/4/13* @Description Description*/
@RestController
@RequestMapping("/book")
public class BookController {@Autowiredprivate TransportClient transportClient;/*** 添加博客索引信息*/@PostMapping("/add")public ResponseEntity add(@RequestParam(name = "title") String title,@RequestParam(name = "author") String author,@RequestParam(name = "word_count") int wordCount,@RequestParam(name = "publish_date") @DateTimeFormat(pattern = "yyyy-MM-dd HH:mm:ss") Date publishDate) {try {XContentBuilder content = XContentFactory.jsonBuilder().startObject().field("title", title).field("author", author).field("word_count", wordCount).field("publish_date", publishDate.getTime()).endObject();IndexResponse result = this.transportClient.prepareIndex("blogs", "blog").setSource(content).get();return new ResponseEntity(result.getId(), HttpStatus.OK);} catch (Exception e) {e.printStackTrace();;return new ResponseEntity(HttpStatus.INTERNAL_SERVER_ERROR);}}/*** 根据id查询*/@GetMapping("/get")public ResponseEntity get(@RequestParam(name = "id", defaultValue = "") String id) {if (id.isEmpty()) {return new ResponseEntity((HttpStatus.NOT_FOUND));}GetResponse result = transportClient.prepareGet("blogs", "blog", id).get();if (!result.isExists()) {return new ResponseEntity((HttpStatus.NOT_FOUND));}return new ResponseEntity(result.getSource(), HttpStatus.OK);}/*** 按条件查询*/@GetMapping("/query")public ResponseEntity query(@RequestParam(name = "author", required = false) String author,@RequestParam(name = "title", required = false) String title,@RequestParam(name = "gt_word_count", defaultValue = "0") int gtWordCount,@RequestParam(name = "lt_word_count", required = false) Integer ltWordCount) {//设置查询条件BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();if (author != null) {boolQuery.must(QueryBuilders.matchQuery("author", author));}if (title != null) {boolQuery.must(QueryBuilders.matchQuery("title", title));}//按范围查询RangeQueryBuilder rangeQuery = QueryBuilders.rangeQuery("word_count").from(gtWordCount);if (ltWordCount != null && ltWordCount > 0) {rangeQuery.to(ltWordCount);}boolQuery.filter(rangeQuery);SearchRequestBuilder builder = this.transportClient.prepareSearch("blogs").setTypes("blog").setSearchType(SearchType.DFS_QUERY_THEN_FETCH).setQuery(boolQuery)//设置分页查询.setFrom(0).setSize(10);System.out.println(builder);SearchResponse response = builder.get();List<Map<String, Object>> result = new ArrayList<>();for (SearchHit hit : response.getHits()) {result.add(hit.getSourceAsMap());}return new ResponseEntity(result, HttpStatus.OK);}}

7. 创建Application入口类

package com.yyg.boot;import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;/*** @Author 一一哥Sun* @Date Created in 2020/4/9* @Description Description*/
@SpringBootApplication
public class ElasticApplication {public static void main(String[] args) {SpringApplication.run(ElasticApplication.class, args);}}

完整项目结构：

8. 启动elastic search和kibana环境

elastic search正常启动后效果

kibana正常启动后效果

9. 在postman中进行测试

测试添加博客功能

可以看到最后返回了新增的博客id。

在kibana中进行索引的查看

在我们前面的代码中，我们已经创建了index索引为blogs,所以我们可以在kibana中把这个blogs索引同步过来。

到这一步，我们就把代码中创建好的blogs索引同步过来了，接下来我们可以查看blogs索引中的内容。

发现blogs索引中已经有了我们之前添加的博客内容。

测试按id查询博客接口

测试查询全部结果的接口