Springboot集成ElasticSearch快速入门demo
一、ElasticSearch介绍
elasticsearch是构建在Apache Lucene上的使用Java语言开发的开源分布式搜素引擎。Lucene是一个开源的全文搜索引擎工具包，它仅是一个工具包而不是一个完整的工作引擎，并且只能被Java应用程序调用，elasticsearch基于REST API，因此任何开发语言开发的任何应用程序都可以通过JSON格式的HTTP请求来管理elasticsearch集群。elasticsearch封装并扩展了Luncene，使存储、索引、搜索都变得更快、更容易。除此之外，elasticsearch还可以完好地存储数据，甚至可以将其直接作为带搜索功能的NoSQL数据库来使用，它的数据是通过文档形式表示的。以下将elasticsearch都简称为es。
二、ElasticSearch环境搭建
采用docker-compose搭建，具体配置如下：
version: '3'
# 网桥es -> 方便相互通讯
networks:
es:
services:
elasticsearch:
image: registry.cn-hangzhou.aliyuncs.com/zhengqing/elasticsearch:7.14.1 # 原镜像`elasticsearch:7.14.1`
container_name: elasticsearch # 容器名为'elasticsearch'
restart: unless-stopped # 指定容器退出后的重启策略为始终重启，但是不考虑在Docker守护进程启动时就已经停止了的容器
volumes: # 数据卷挂载路径设置,将本机目录映射到容器目录
- "./elasticsearch/data:/usr/share/elasticsearch/data"
- "./elasticsearch/logs:/usr/share/elasticsearch/logs"
- "./elasticsearch/config/elasticsearch.yml:/usr/share/elasticsearch/config/elasticsearch.yml"
# - "./elasticsearch/config/jvm.options:/usr/share/elasticsearch/config/jvm.options"
- "./elasticsearch/plugins/ik:/usr/share/elasticsearch/plugins/ik" # IK中文分词插件
environment: # 设置环境变量,相当于docker run命令中的-e
TZ: Asia/Shanghai
LANG: en_US.UTF-8
TAKE_FILE_OWNERSHIP: "true" # 权限
discovery.type: single-node
ES_JAVA_OPTS: "-Xmx512m -Xms512m"
#ELASTIC_PASSWORD: "123456" # elastic账号密码
ports:
- "9200:9200"
- "9300:9300"
networks:
- es
kibana:
image: registry.cn-hangzhou.aliyuncs.com/zhengqing/kibana:7.14.1 # 原镜像`kibana:7.14.1`
container_name: kibana
restart: unless-stopped
volumes:
- ./elasticsearch/kibana/config/kibana.yml:/usr/share/kibana/config/kibana.yml
ports:
- "5601:5601"
depends_on:
- elasticsearch
links:
- elasticsearch
networks:
- es部署
# 运行
docker-compose -f docker-compose-elasticsearch.yml -p elasticsearch up -d
# 运行后，给当前目录下所有文件赋予权限(读、写、执行)
#chmod -R 777 ./elasticsearchES访问地址：
ip地址:9200默认账号密码：elastic/123456kibana访问地址：
ip地址:5601/app/dev_tools#/console默认账号密码：elastic/123456
设置ES密码
# 进入容器
docker exec -it elasticsearch /bin/bash
# 设置密码-随机生成密码
# elasticsearch-setup-passwords auto
# 设置密码-手动设置密码
elasticsearch-setup-passwords interactive
# 访问
curl 127.0.0.1:9200 -u elastic:123456三、代码工程
pom.xml
springboot-demo
com.et
1.0-SNAPSHOT
4.0.0
elasticsearch
org.springframework.boot
spring-boot-starter-data-elasticsearch
org.springframework.boot
spring-boot-starter-web
org.springframework.boot
spring-boot-starter-webflux
com.alibaba
fastjson
${fastjson.version}
org.springframework.boot
spring-boot-starter-test
test
io.projectreactor
reactor-test
test
启动类
package com.et59.elaticsearch;
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
@SpringBootApplication
public class EssearchApplication {
public static void main(String[] args) {
SpringApplication.run(EssearchApplication.class, args);
}
}service
package com.et59.elaticsearch.service;
import com.et59.elaticsearch.document.ProductDocument;
import java.util.List;
/**
* @author zhoudong
* @version 0.1
* @date 2018/12/13 15:32
*/
public interface EsSearchService extends BaseSearchService {
/**
* 保存
* @auther: zhoudong
* @date: 2018/12/13 16:02
*/
void save(ProductDocument... productDocuments);
/**
* 删除
* @param id
*/
void delete(String id);
/**
* 清空索引
*/
void deleteAll();
/**
* 根据ID查询
* @param id
* @return
*/
ProductDocument getById(String id);
/**
* 查询全部
* @return
*/
List getAll();
} package com.et59.elaticsearch.service.impl;
import com.alibaba.fastjson.JSON;
import com.et59.elaticsearch.document.ProductDocument;
import com.et59.elaticsearch.repository.ProductDocumentRepository;
import com.et59.elaticsearch.service.EsSearchService;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.data.elasticsearch.core.ElasticsearchTemplate;
import org.springframework.stereotype.Service;
import javax.annotation.Resource;
import java.util.*;
/**
* elasticsearch 搜索引擎 service实现
* @author zhoudong
* @version 0.1
* @date 2018/12/13 15:33
*/
@Service
public class EsSearchServiceImpl extends BaseSearchServiceImpl implements EsSearchService {
private Logger log = LoggerFactory.getLogger(getClass());
@Resource
private ElasticsearchTemplate elasticsearchTemplate;
@Resource
private ProductDocumentRepository productDocumentRepository;
@Override
public void save(ProductDocument ... productDocuments) {
elasticsearchTemplate.putMapping(ProductDocument.class);
if(productDocuments.length > 0){
/*Arrays.asList(productDocuments).parallelStream()
.map(productDocumentRepository::save)
.forEach(productDocument -> log.info("【保存数据】：{}", JSON.toJSONString(productDocument)));*/
log.info("【保存索引】：{}",JSON.toJSONString(productDocumentRepository.saveAll(Arrays.asList(productDocuments))));
}
}
@Override
public void delete(String id) {
productDocumentRepository.deleteById(id);
}
@Override
public void deleteAll() {
productDocumentRepository.deleteAll();
}
@Override
public ProductDocument getById(String id) {
return productDocumentRepository.findById(id).get();
}
@Override
public List getAll() {
List list = new ArrayList<>();
productDocumentRepository.findAll().forEach(list::add);
return list;
}
} document
package com.et59.elaticsearch.document;
import org.springframework.data.annotation.Id;
import org.springframework.data.elasticsearch.annotations.Document;
import org.springframework.data.elasticsearch.annotations.Field;
import org.springframework.data.elasticsearch.annotations.Mapping;
import java.io.Serializable;
import java.util.Date;
/**
* 产品实体
* @author zhoudong
* @version 0.1
* @date 2018/12/13 15:22
*/
@Document(indexName = "orders", type = "product")
@Mapping(mappingPath = "productIndex.json") // 解决IK分词不能使用问题
public class ProductDocument implements Serializable {
@Id
private String id;
//@Field(analyzer = "ik_max_word",searchAnalyzer = "ik_max_word")
private String productName;
//@Field(analyzer = "ik_max_word",searchAnalyzer = "ik_max_word")
private String productDesc;
private Date createTime;
private Date updateTime;
public String getId() {
return id;
}
public void setId(String id) {
this.id = id;
}
public String getProductName() {
return productName;
}
public void setProductName(String productName) {
this.productName = productName;
}
public String getProductDesc() {
return productDesc;
}
public void setProductDesc(String productDesc) {
this.productDesc = productDesc;
}
public Date getCreateTime() {
return createTime;
}
public void setCreateTime(Date createTime) {
this.createTime = createTime;
}
public Date getUpdateTime() {
return updateTime;
}
public void setUpdateTime(Date updateTime) {
this.updateTime = updateTime;
}
}repository
package com.et59.elaticsearch.repository;
import com.et59.elaticsearch.document.ProductDocument;
import org.springframework.data.elasticsearch.repository.ElasticsearchRepository;
import org.springframework.stereotype.Component;
/**
* @author zhoudong
* @version 0.1
* @date 2018/12/13 17:35
*/
@Component
public interface ProductDocumentRepository extends ElasticsearchRepository {
} application.properties
# elasticsearch.yml 文件中的 cluster.name
spring.data.elasticsearch.cluster-name=docker-cluster
# elasticsearch 调用地址，多个使用“,”隔开
spring.data.elasticsearch.cluster-nodes=127.0.0.1:9300
#spring.data.elasticsearch.repositories.enabled=true
#spring.data.elasticsearch.username=elastic
#spring.data.elasticsearch.password=123456
#spring.data.elasticsearch.network.host=0.0.0.0productIndex.json
{
"properties": {
"createTime": {
"type": "long"
},
"productDesc": {
"type": "text",
"analyzer": "ik_max_word",
"search_analyzer": "ik_max_word"
},
"productName": {
"type": "text",
"analyzer": "ik_max_word",
"search_analyzer": "ik_max_word"
},
"updateTime": {
"type": "long"
}
}
}代码仓库地址
https://github.com/Harries/springboot-demo
四、验证
package com.et59.elaticsearch;
import com.alibaba.fastjson.JSON;
import com.et59.elaticsearch.document.ProductDocument;
import com.et59.elaticsearch.document.ProductDocumentBuilder;
import com.et59.elaticsearch.service.EsSearchService;
import com.et59.elaticsearch.page.Page;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.test.context.junit4.SpringRunner;
import java.util.Date;
import java.util.List;
import java.util.Map;
@RunWith(SpringRunner.class)
@SpringBootTest
public class EssearchApplicationTests {
private Logger log = LoggerFactory.getLogger(getClass());
@Autowired
private EsSearchService esSearchService;
@Test
public void save() {
log.info("【创建索引前的数据条数】：{}",esSearchService.getAll().size());
ProductDocument productDocument = ProductDocumentBuilder.create()
.addId(System.currentTimeMillis() + "01")
.addProductName("无印良品 MUJI 基础润肤化妆水")
.addProductDesc("无印良品 MUJI 基础润肤化妆水 高保湿型 200ml")
.addCreateTime(new Date()).addUpdateTime(new Date())
.builder();
ProductDocument productDocument1 = ProductDocumentBuilder.create()
.addId(System.currentTimeMillis() + "02")
.addProductName("荣耀 V10 尊享版")
.addProductDesc("荣耀 V10 尊享版 6GB+128GB 幻夜黑 移动联通电信4G全面屏游戏手机 双卡双待")
.addCreateTime(new Date()).addUpdateTime(new Date())
.builder();
ProductDocument productDocument2 = ProductDocumentBuilder.create()
.addId(System.currentTimeMillis() + "03")
.addProductName("资生堂(SHISEIDO) 尿素红罐护手霜")
.addProductDesc("日本进口 资生堂(SHISEIDO) 尿素红罐护手霜 100g/罐 男女通用 深层滋养 改善粗糙")
.addCreateTime(new Date()).addUpdateTime(new Date())
.builder();
esSearchService.save(productDocument,productDocument1,productDocument2);
log.info("【创建索引ID】:{},{},{}",productDocument.getId(),productDocument1.getId(),productDocument2.getId());
log.info("【创建索引后的数据条数】：{}",esSearchService.getAll().size());
}
@Test
public void getAll(){
esSearchService.getAll().parallelStream()
.map(JSON::toJSONString)
.forEach(System.out::println);
}
@Test
public void deleteAll() {
esSearchService.deleteAll();
}
@Test
public void getById() {
log.info("【根据ID查询内容】：{}", JSON.toJSONString(esSearchService.getById("154470178213401")));
}
@Test
public void query() {
log.info("【根据关键字搜索内容】：{}", JSON.toJSONString(esSearchService.query("无印良品荣耀",ProductDocument.class)));
}
@Test
public void queryHit() {
String keyword = "联通尿素";
String indexName = "orders";
List> searchHits = esSearchService.queryHit(keyword,indexName,"productName","productDesc");
log.info("【根据关键字搜索内容，命中部分高亮，返回内容】：{}", JSON.toJSONString(searchHits));
//[{"highlight":{"productDesc":"无印良品 MUJI 基础润肤化妆水 高保湿型 200ml","productName":"无印良品 MUJI 基础润肤化妆水"},"source":{"productDesc":"无印良品 MUJI 基础润肤化妆水 高保湿型 200ml","createTime":1544755966204,"updateTime":1544755966204,"id":"154475596620401","productName":"无印良品 MUJI 基础润肤化妆水"}},{"highlight":{"productDesc":"荣耀 V10 尊享版 6GB+128GB 幻夜黑 移动联通电信4G全面屏游戏手机 双卡双待","productName":"荣耀 V10 尊享版"},"source":{"productDesc":"荣耀 V10 尊享版 6GB+128GB 幻夜黑 移动联通电信4G全面屏游戏手机 双卡双待","createTime":1544755966204,"updateTime":1544755966204,"id":"154475596620402","productName":"荣耀 V10 尊享版"}}]
}
@Test
public void queryHitByPage() {
String keyword = "联通尿素";
String indexName = "orders";
Page> searchHits = esSearchService.queryHitByPage(1,1,keyword,indexName,"productName","productDesc");
log.info("【分页查询，根据关键字搜索内容，命中部分高亮，返回内容】：{}", JSON.toJSONString(searchHits));
//[{"highlight":{"productDesc":"无印良品 MUJI 基础润肤化妆水 高保湿型 200ml","productName":"无印良品 MUJI 基础润肤化妆水"},"source":{"productDesc":"无印良品 MUJI 基础润肤化妆水 高保湿型 200ml","createTime":1544755966204,"updateTime":1544755966204,"id":"154475596620401","productName":"无印良品 MUJI 基础润肤化妆水"}},{"highlight":{"productDesc":"荣耀 V10 尊享版 6GB+128GB 幻夜黑 移动联通电信4G全面屏游戏手机 双卡双待","productName":"荣耀 V10 尊享版"},"source":{"productDesc":"荣耀 V10 尊享版 6GB+128GB 幻夜黑 移动联通电信4G全面屏游戏手机 双卡双待","createTime":1544755966204,"updateTime":1544755966204,"id":"154475596620402","productName":"荣耀 V10 尊享版"}}]
}
@Test
public void deleteIndex() {
log.info("【删除索引库】");
esSearchService.deleteIndex("orders");
}
} 
五、参考
https://www.elastic.co/guide/cn/elasticsearch/guide/current/index.html
http://www.liuhaihua.cn/archives/710195.html