1. 前言
1.1. 集成方式
Spring Boot中集成Elasticsearch有4种方式:
REST ClIEntJestSpring DataSpring Data Elasticsearch RepositorIEs本文用后面两种方式来分别连接并 *** 作Elasticsearch
1.2. 环境与配置
服务端:elasticsearch-6.3.2 1台
客户端:elasticsearch 6.4.1
服务端配置文件:elasticsearch.yml
cluster.name: my-applicationnetwork.host: 192.168.1.134http.port: 9200
/etc/security/limits.conf
cheng soft nofile 65536cheng hard nofile 65536
/etc/sysctl.conf
vm.max_map_count=262144
1.3. 版本
Spring Boot 2.0.5默认的elasticsearch版本很低,这里我们用最新版本6.4.1
如果启动过程中出现
java.lang.NoClassDefFoundError: org/elasticsearch/common/transport/InetSocketTransportAddress
则说明,elasticsearch依赖的jar包版本不一致,统一改成6.4.1即可
另外,Spring Boot 2.0.5依赖的spring-data-elasticsearch版本是3.0.1,需要升级到3.1.0
2. 依赖
<?xml version="1.0" enCoding="UTF-8"?><project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd"> modelVersion>4.0.0</> groupID>com.cJs.exampleartifactID>cJs-elasticsearch-exampleversion>0.0.1-SNAPSHOTpackaging>jarnamedescription></parent> >org.springframework.boot>spring-boot-starter-parent>2.0.5.RELEASErelativePath/> <!-- lookup parent from repository --> propertIEsproject.build.sourceEnCoding>UTF-8project.reporting.outputEnCodingjava.version>1.8> elasticsearch.version>6.4.1spring.data.elasticsearch.version>3.1.0.RELEASEdependencIEsdependency> >org.elasticsearch>elasticsearch>${elasticsearch.version}>org.elasticsearch.clIEnt>transport>elasticsearch-rest-clIEnt>org.elasticsearch.plugin>transport-netty4-clIEnt>org.springframework.data>spring-data-elasticsearch>${spring.data.elasticsearch.version}>spring-boot-starter-data-elasticsearch>spring-boot-starter-web>org.projectlombok>lombokoptional>true>spring-boot-starter-testscope>testbuildpluginsplugin> >spring-boot-maven-plugin>project>
3. application.propertIEs
spring.data.elasticsearch.cluster-name=my-applicationspring.data.elasticsearch.cluster-nodes=192.168.1.134:9300
也许,大家会疑惑,配置文件中明明写的端口是9200,为何这里配置文件中连接的时候写的端口是9300呢?
因为,配置9200是通过http连接的端口,9300是TCP连接的端口
4. *** 作
4.1. 使用Spring Data Elasticsearch RepositorIEs *** 作Elasticsearch
首先,定义一个实体类
package com.cJs.example.entity;import lombok.Data; org.springframework.data.annotation.ID; org.springframework.data.elasticsearch.annotations.document; java.io.Serializable;@Data@document(indexname = "commodity")public class commodity implements Serializable { @ID private String skuID; String name; String category; Integer price; String brand; Integer stock;}
这里定义了commodity实例,表示商品。在Elasticsearch 6.X 版本中,不建议使用type,而且在7.X版本中将会彻底废弃type,所以此处我只指定了indexname,没有指定type。这里,一个commodity代表一个商品,同时代表一条索引记录。
类比关系型数据库的话,Index相当于表,document相当于记录
然后,需要自己定义一个接口,并继承ElasticsearchRepository
com.cJs.example.dao; com.cJs.example.entity.commodity; org.springframework.data.elasticsearch.repository.ElasticsearchRepository; org.springframework.stereotype.Repository;@Repositoryinterface commodityRepository extends ElasticsearchRepository<commodity,String> {}
这里的Repository相当于DAO, *** 作MysqL还是elasticsearch都是一样的
接下来,定义service接口
com.cJs.example.service; org.springframework.data.domain.Page; java.util.List;interface commodityService { long count(); commodity save(commodity commodity); voID delete(commodity commodity); Iterable<commodity> getAll(); List<commodity> getByname(String name); Page<commodity> pagequery(Integer pageNo,Integer pageSize,String kw);}
实现类
com.cJs.example.service.impl; com.cJs.example.dao.commodityRepository; com.cJs.example.service.commodityService; org.elasticsearch.index.query.MatchqueryBuilder; org.elasticsearch.index.query.queryBuilders; org.springframework.beans.factory.annotation.autowired; org.springframework.data.domain.Page; org.springframework.data.domain.PageRequest; org.springframework.data.elasticsearch.core.query.NativeSearchqueryBuilder; org.springframework.data.elasticsearch.core.query.Searchquery; org.springframework.stereotype.Service; java.util.ArrayList; java.util.List;@Serviceclass commodityServiceImpl commodityService { @autowired commodityRepository commodityRepository; @OverrIDe count() { return commodityRepository.count(); } @OverrIDe public commodity save(commodity commodity) { commodityRepository.save(commodity); } @OverrIDe delete(commodity commodity) { commodityRepository.delete(commodity);// commodityRepository.deleteByID(commodity.getSkuID()); } @OverrIDe public Iterable<commodity> getAll() { commodityRepository.findAll(); } @OverrIDe public List<commodity> getByname(String name) { List<commodity> List = new ArrayList<>(); MatchqueryBuilder matchqueryBuilder = new MatchqueryBuilder("name",name); Iterable<commodity> iterable = commodityRepository.search(matchqueryBuilder); iterable.forEach(e->List.add(e)); List; } @OverrIDe public Page<commodity>new NativeSearchqueryBuilder() .withquery(queryBuilders.matchPhrasequery("name" commodityRepository.search(searchquery); }}
在这个Service中演示了增删查改 *** 作,还有分页查询
最后,写一个测试类测试其中的方法
com.cJs.example; org.junit.Test; org.junit.runner.RunWith; org.springframework.boot.test.context.SpringBoottest; org.springframework.test.context.junit4.springrunner; java.util.List;@RunWith(springrunner.class)@SpringBoottest CJsElasticsearchExampleApplicationTests { @autowired commodityService commodityService; @Test contextLoads() { System.out.println(commodityService.count()); } @Test testInsert() { commodity commodity = commodity(); commodity.setSkuID("1501009001"); commodity.setname("原味切片面包(10片装)"); commodity.setcategory("101"); commodity.setPrice(880); commodity.setBrand("良品铺子"); commodityService.save(commodity); commodity = commodity(); commodity.setSkuID("1501009002"); commodity.setname("原味切片面包(6片装)"); commodity.setPrice(680 commodity(); commodity.setSkuID("1501009004"); commodity.setname("元气吐司850g"); commodity.setPrice(120); commodity.setBrand("百草味"); commodityService.save(commodity); } @Test testDelete() { commodity commodity = ); commodityService.delete(commodity); } @Test testGetAll() { Iterable<commodity> iterable = commodityService.getAll(); iterable.forEach(e->System.out.println(e.toString())); } @Test testGetByname() { List<commodity> List = commodityService.getByname("面包"); System.out.println(List); } @Test testPage() { Page<commodity> page = commodityService.pagequery(0,10,"切片"); System.out.println(page.getTotalPages()); System.out.println(page.getNumber()); System.out.println(page.getContent()); }}
以上,便是使用Elasticsearch RepositorIEs的方式
4.2. 使用ElasticsearchTemplate方式 *** 作Elasticsearch
org.springframework.data.elasticsearch.core.ElasticsearchTemplate;import org.springframework.data.elasticsearch.core.query.*; ElasticsearchTemplateTest { @autowired ElasticsearchTemplate elasticsearchTemplate; @Test commodity(); commodity.setSkuID("1501009005"); commodity.setname("葡萄吐司面包(10片装)"); commodity.setPrice(160); Indexquery indexquery = IndexqueryBuilder().withObject(commodity).build(); elasticsearchTemplate.index(indexquery); } @Test testquery() { Searchquery searchquery = NativeSearchqueryBuilder() .withquery(queryBuilders.matchquery("name","吐司")) .build(); List<commodity> List = elasticsearchTemplate.queryForList(searchquery,commodity.); System.out.println(List); }}
ElasticsearchTemplate是自动配置的
5. 演示
6. 工程结构
7. 参考
https://docs.spring.io/spring-data/elasticsearch/docs/3.1.0.RELEASE/reference/html/#repositories.query-methods.details
总结
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