微服务之springCloud和docker-Eureka（一）
前言
本文记录怎么搭建服务注册中心eureka，然后打包成docker镜像，用docker swarm部署eureka集群
1、环境
| 环境 | 版本及说明 | 参考地址 |
|---|---|---|
| docker | v1.13.1,Docker是一个能够把开发的应用程序自动部署到容器的开源引擎 | http://www.cnblogs.com/520playboy/p/7910357.html |
| doker-compose | v1.11,Docker 官方编排（Orchestration）项目之一，负责快速在集群中部署分布式应 | |
| docker swarm | v1.13.1,Docker Engine 1.12或更高版本中内置了swarm（不用额外安装） | http://www.cnblogs.com/520playboy/p/7873903.html |
| docker registry | registry:latest,用于存储docker镜像的私有仓库 | http://www.cnblogs.com/520playboy/p/7889647.html |
| spring boot | 1.5.1.RELEASE,是开箱即用，提供一系列大型项目常用的非功能性特征的快速度开发工具 | spring boot官网 |
| spring cloud | Camden SR5,Spring Cloud 为开发者提供了在分布式系统（如配置管理、服务发现、断路器、智能路由、微代理、控制总线、一次性 Token、全局锁、决策竞选、分布式会话和集群状态）操作的开发工具集 | spring cloud官网 |
| 开发工具 | jdk1.8/IntelliJ idea2016/maven3.3 |
2、创建父空项目 microservice-spring-cloud
3、父项目的pom.xml文件
<?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"> <parent> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-parent</artifactId> <version>1.4.2.RELEASE</version> </parent> <modelVersion>4.0.0</modelVersion> <groupId>com.jacky</groupId> <artifactId>microservice-spring-cloud</artifactId> <packaging>pom</packaging> <version>1.0-SNAPSHOT</version> <modules> <module>microservice-discovery-eureka-ha</module> </modules> <properties> <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding> <project.reporting.outputEncoding>UTF-8</project.reporting.outputEncoding> <java.version>1.8</java.version> <docker.image.prefix>jacky</docker.image.prefix><!--配置镜像仓库的属性--> <docker.repostory>192.168.6.132:5000</docker.repostory><!--配置镜像仓库的对应的地址与端口--> </properties> <dependencyManagement> <dependencies> <dependency> <groupId>org.springframework.cloud</groupId> <artifactId>spring-cloud-dependencies</artifactId> <version>Camden.SR3</version> <type>pom</type> <scope>import</scope> </dependency> </dependencies> </dependencyManagement> <build> <plugins> <plugin> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-maven-plugin</artifactId> </plugin> </plugins> <!--添加利用maven插件构建docker镜像的插件依赖--> <pluginManagement> <plugins> <plugin> <groupId>com.spotify</groupId> <artifactId>docker-maven-plugin</artifactId> <version>0.4.13</version> </plugin> </plugins> </pluginManagement> </build> </project>
4、创建子项目microservice-discovery-eureka-ha
5、microservice-discovery-eureka-ha工程的pom.xml文件
<?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"> <parent> <artifactId>microservice-spring-cloud</artifactId> <groupId>com.jacky</groupId> <version>1.0-SNAPSHOT</version> </parent> <modelVersion>4.0.0</modelVersion> <artifactId>microservice-discovery-eureka-ha</artifactId> <packaging>jar</packaging> <properties> <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding> </properties> <dependencies> <dependency> <groupId>org.springframework.cloud</groupId> <artifactId>spring-cloud-starter-eureka-server</artifactId> </dependency> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-security</artifactId> </dependency> </dependencies> <build> <plugins> <plugin> <groupId>com.spotify</groupId> <artifactId>docker-maven-plugin</artifactId> <executions> <!--设置在执行maven 的install时构建镜像--> <execution> <id>build-image</id> <phase>install</phase> <goals> <goal>build</goal> </goals> </execution> </executions> <configuration> <!--安装了docker的主机，并且打开了api remote接口设置--> <dockerHost>http://192.168.6.130:5678</dockerHost> <pushImage>true</pushImage><!--设置上传镜像到私有仓库，需要docker设置指定私有仓库地址--> <!--镜像名称--> <imageName>${docker.repostory}/${docker.image.prefix}/${project.artifactId}:${project.version}</imageName> <!--镜像的基础版本--> <baseImage>java:openjdk-8-jdk-alpine</baseImage> <!--镜像启动参数--> <entryPoint>["java", "-jar", "/${project.build.finalName}.jar"]</entryPoint> <resources> <resource> <targetPath>/</targetPath> <directory>${project.build.directory}</directory> <include>${project.build.finalName}.jar</include> </resource> </resources> </configuration> </plugin> </plugins> </build> </project>
5、microservice-discovery-eureka-ha工程的application.yml文件
spring: application: name: EUREKA-HA security: basic: enabled: true user: name: jacky password: admin --- server: port: 8761 spring: profiles: peer1 eureka: instance: hostname: peer1 #Eureka实例的主机名 prefer-ip-address: true instance-id: ${spring.application.name}:${spring.cloud.client.ipAddress}:${spring.application.instance_id:${server.port}} client: serviceUrl: defaultZone: http://jacky:admin@peer2:8762/eureka/,http://jacky:admin@peer3:8763/eureka/ #Eureka节点相互注册 register-with-eureka: true --- server: port: 8762 spring: profiles: peer2 eureka: instance: hostname: peer2 #Eureka实例的主机名 prefer-ip-address: true instance-id: ${spring.application.name}:${spring.cloud.client.ipAddress}:${spring.application.instance_id:${server.port}} client: serviceUrl: defaultZone: http://jacky:admin@peer1:8761/eureka/,http://jacky:admin@peer3:8763/eureka/ register-with-eureka: true --- server: port: 8763 spring: profiles: peer3 eureka: instance: hostname: peer3 #Eureka实例的主机名 prefer-ip-address: true instance-id: ${spring.application.name}:${spring.cloud.client.ipAddress}:${spring.application.instance_id:${server.port}} client: serviceUrl: defaultZone: http://jacky:admin@peer1:8761/eureka/,http://jacky:admin@peer2:8762/eureka/ register-with-eureka: true
6、创建EurekaHaApplication.java文件
package com.jacky.cloud; import org.springframework.boot.SpringApplication; import org.springframework.boot.autoconfigure.SpringBootApplication; import org.springframework.cloud.netflix.eureka.server.EnableEurekaServer; @SpringBootApplication @EnableEurekaServer public class EurekaHaApplication { public static void main(String[] args) { SpringApplication.run(EurekaHaApplication.class, args); } }
7、在父目录下创建docker-compose.yml文件
version: "3" services: peer1: # 默认情况下，其他服务可以使用服务名称连接到该服务。因此，对于eurekaService1的节点，它需要连接http://eurekaService2/3:951X/eureka/，因此需要配置该服务的名称是eurekaService1。 image: 192.168.6.132:5000/jacky/microservice-discovery-eureka-ha:1.0-SNAPSHOT deploy: replicas: 1 #定义 replicated 模式的服务的复本数量 update_config: parallelism: 1 #每次更新复本数量 delay: 2s #每次更新间隔 restart_policy: condition: on-failure #定义服务的重启条件 networks: - eureka-net ports: - "8761:8761" environment: - spring.profiles.active=peer1 peer2: # 高可用eureka注册节点2 image: 192.168.6.132:5000/jacky/microservice-discovery-eureka-ha:1.0-SNAPSHOT deploy: replicas: 1 #定义 replicated 模式的服务的复本数量 update_config: parallelism: 1 #每次更新复本数量 delay: 2s #每次更新间隔 restart_policy: condition: on-failure #定义服务的重启条件 networks: - eureka-net ports: - "8762:8762" environment: - spring.profiles.active=peer2 peer3: # 高可用eureka注册节点3 image: 192.168.6.132:5000/jacky/microservice-discovery-eureka-ha:1.0-SNAPSHOT deploy: replicas: 1 #定义 replicated 模式的服务的复本数量 update_config: parallelism: 1 #每次更新复本数量 delay: 2s #每次更新间隔 restart_policy: condition: on-failure #定义服务的重启条件 networks: - eureka-net ports: - "8763:8763" environment: - spring.profiles.active=peer3 networks: eureka-net: #网络名称 driver: overlay
8、打包
双击install
9、在192.168.6.130机器上查看镜像
表示上传成功
10、把的docker-compose.yml文件上传到拥有swarm环境下，执行命令如下
[root@node1 docker-compose]# docker stack deploy -c docker-compose.yml eureka Creating service eureka_peer2 Creating service eureka_peer3 Creating service eureka_peer1 [root@node1 docker-compose]# docker stack ps eureka ID NAME IMAGE NODE DESIRED STATE CURRENT STATE ERROR PORTS njhk2gkh7b6r eureka_peer1.1 192.168.6.132:5000/jacky/microservice-discovery-eureka-ha:1.0-SNAPSHOT node3.jacky.com Running Running 55 seconds ago y5xwabq42zx4 eureka_peer3.1 192.168.6.132:5000/jacky/microservice-discovery-eureka-ha:1.0-SNAPSHOT node3.jacky.com Running Running 55 seconds ago 468xoiu6lv6l eureka_peer2.1 192.168.6.132:5000/jacky/microservice-discovery-eureka-ha:1.0-SNAPSHOT node2.jacky.com Running Running 57 seconds ago
说明eureka集群部署成功
说明：swarm集群192.168.6.130；192.168.6.131；192.168.6.132；8761,8762,8763端口都可以访问
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