构建Docker镜像并在容器中运行它们:
(in the spring-microservice-registry folder)
mvn clean install docker:build
docker images (verify your image was built)
docker run --env DOCKER_HOST_IP=$(boot2docker ip) -it --name eureka -p 9761:9761 registry/demo
访问 http://DOCKER_HOST_IP:9761/ 确认eureka服务器正在运行
微服务客户端启动:
(in the spring-microservice-service folder)
mvn clean install -DskipTests docker:build
docker images (verify your image was built)
docker run --env DOCKER_HOST_IP=$(boot2docker ip) -it --name service -p 8080:8080 service/demo
docker ps (verify that service container is running)
从外部调用MicroService
外部客户只需要知道eureka服务器的地址
application.properties:
eureka.client.serviceUrl.defaultZone=http://${DOCKER_HOST_IP}:9761/eureka
测试在Docker中启动的微服务:
(in the spring-microservice-client folder) mvn clean install java -jar -DDOCKER_HOST_IP=$(boot2docker ip) target/demo-0.0.1-SNAPSHOT.war
2.Docker Links
eureka服务器application.properties:
eureka.instance.prefer-ip-address = false
eureka.instance.hostname = eureka
通过此设置,Eureka服务器注册表将可以在地址 http://eureka:/eureka 下载给客户端,
在Docker中启动Eureka注册表:
(in the spring-microservice-registry folder)
mvn clean install docker:build
docker images (verify your image was built)
docker run -it -p 9761:9761 --name eureka registry/demo
我只使用端口映射,因为我想使用eureka网页。重要的是使用容器名。
让我们将先前配置的Eureka设置为MicroService的注册表源,在微服务项目中配置:
spring.application.name=personsService
eureka.client.serviceUrl.defaultZone=http://eureka:9761/eureka
eureka.client.healthcheck.enabled=true
eureka.instance.preferIpAddress=false
eureka.instance.hostname=service
ribbon.eureka.enabled=true
启动Docker中微服务:
(in the spring-microservice-service folder)
mvn clean install -DskipTests docker:build
docker images (verify your image was built)
docker run -it --link eureka:eureka --name service service/demo
docker ps (verify that service container is running)
使用“docker run”在service/demo容器将在别名eureka下看到Eureka服务器,让我们验证(运行以下命令):
docker exec -it service bash (this will connect you to the MicroService cont.)
ping eureka
输出:
ping eureka
PING eureka (172.17.0.2): 56 data bytes
64 bytes from 172.17.0.2: icmp_seq=0 ttl=64 time=0.269 ms
64 bytes from 172.17.0.2: icmp_seq=1 ttl=64 time=0.084 ms
网关容器
网关容器也需要链接到eureka和服务容器,因为eureka将以 http://service:8080 的形式提供ribbon负载平衡的MicroService地址。因此网关需要了解“服务”的含义。
application.properties:
server.port=8888
hystrix.command.invokePersonsMicroService.fallback.enabled=true
hystrix.command.invokePersonsMicroService.metrics.rollingStats.timeInMilliseconds=35000
hystrix.command.invokePersonsMicroService.circuitBreaker.sleepWindowInMilliseconds=5000
hystrix.command.invokePersonsMicroService.circuitBreaker.requestVolumeThreshold=6
hystrix.command.invokePersonsMicroService.circuitBreaker.errorThresholdPercentage=100
hystrix.command.invokePersonsMicroService.execution.isolation.strategy=THREAD
eureka.client.serviceUrl.defaultZone=http://eureka:9761/eureka
eureka.client.healthcheck.enabled=true
eureka.client.registryFetchIntervalSeconds=5
eureka.client.fetch-registry=true
运行Docker中网关:
(in the spring-microservice-client folder)
mvn clean install -DskipTests docker:build
docker images (verify that image was built)
docker run -it --link eureka:eureka --link service:service --name client client/demo
运行镜像后,您应该再次看到重复输出:
Simple MicroService Feign invocation result :{"persons":[{"name":"Tomas","surname":"Kloucek","department":"Programmer"}]}
Docker桥接网络
展示如何在所有节点之间创建基本的“桥梁”,这样他们就能看到对方!那么不需要手动Docker链接。
运行以下命令:
docker network create spring-cloud-network
既然我们现在有了一个网络,让我们把所有的节点放在其中
Maven编译和镜像构建与前面部分相同。
要启动eureka容器,请使用:
docker run -i -t --name eureka --net spring-cloud-network -p 9761:971 registry/demo
要启动MicroService容器,请使用:
docker run -it --name service --net spring-cloud-network service/demo
网格客户端,启动:
docker run -it --name client --net spring-cloud-network client/demo
让我们测试是否看到彼此:
docker exec -it service bash
60623256:/# ping eureka
PING eureka (172.19.0.2): 56 data bytes
64 bytes from 172.19.0.2: icmp_seq=0 ttl=64 time=0.085 ms
64 bytes from 172.19.0.2: icmp_seq=1 ttl=64 time=0.100 ms
64 bytes from 172.19.0.2: icmp_seq=2 ttl=64 time=0.110 ms
或
ping client
PING client (172.19.0.4): 56 data bytes
64 bytes from 172.19.0.4: icmp_seq=0 ttl=64 time=0.110 ms
64 bytes from 172.19.0.4: icmp_seq=1 ttl=64 time=0.106 ms
64 bytes from 172.19.0.4: icmp_seq=2 ttl=64 time=0.089 ms
如果您对每个容器彼此看到的拓扑结构都很好,那么基本的docker bridge网络就可以实现了,但请记住它只能在一个主机上运行。对于多个主机,您需要使用Overlay网络或服务网格