如何經過如下方式在Docker中運行Spring-Cloud MicroService拓撲:java
1. 從Docker機器的外部訪問Docker容器中微服務git
Eureka和MicroServices可經過docker機器的靜態IP地址訪問。客戶端只需獲取eureka註冊表並經過docker-machine的IP調用特定的MicroService,並將容器的端口映射到客戶端的網絡端口。github
若是設置eureka.instance.prefer-ip-address = true,則使用Eureka的MicroService註冊將使用eureka.instance.ip-address指定的IP地址(解析後默認爲主機的IP)。spring
所以MicroService Spring Boot屬性文件將是:docker
eureka.client.serviceUrl.defaultZone=http:<font><i>//${DOCKER_HOST_IP}:9761/eureka</i></font><font> . eureka.instance.preferIpAddress=<b>true</b> eureka.instance.ip-address=${DOCKER_HOST_IP} . </font>
設置說明:bash
一樣在 eureka server端配置:服務器
eureka.instance.prefer-ip-address=<b>true</b> eureka.instance.ip-address=${DOCKER_HOST_IP}
Eureka服務器實例將在$ {DOCKER_HOST_IP}上運行並可訪問。網絡
Docker maven集成app
做爲Docker Maven插件,我選擇了 Spotify的Docker-Maven-Plugin 。功能齊全。maven
Eureka Dockerfile:
FROM java:8-jre MAINTAINER Tomas Kloucek <tomas.kloucek@embedit.cz> ADD ./demo-0.0.1-SNAPSHOT.war /app/ CMD [<font>"java"</font><font>, </font><font>"-Xmx512m"</font><font>, </font><font>"-jar"</font><font>, </font><font>"/app/demo-0.0.1-SNAPSHOT.war"</font><font>] </font>
Eureka pom.xml (plugin configuration):
<plugin> <groupId>com.spotify</groupId> <artifactId>docker-maven-plugin</artifactId> <version>0.4.11</version> <configuration> <imageName>${docker.image.prefix}/${project.artifactId}</imageName> <dockerDirectory>src/docker</dockerDirectory> <resources> <resource> <targetPath>/</targetPath> <directory>${project.build.directory}</directory> <include>${project.build.finalName}.war</include> </resource> </resources> </configuration> </plugin>
構建Docker鏡像並在容器中運行它們:
(in the spring-microservice-registry folder) mvn clean install docker:build docker images (verify your image was built) docker run --env DOCKER_HOST_IP=$(boot2docker ip) -it --name eureka -p 9761:9761 registry/demo
訪問 http://DOCKER_HOST_IP:9761/ 確認eureka服務器正在運行
微服務客戶端啓動:
(in the spring-microservice-service folder) mvn clean install -DskipTests docker:build docker images (verify your image was built) docker run --env DOCKER_HOST_IP=$(boot2docker ip) -it --name service -p 8080:8080 service/demo docker ps (verify that service container is running)
從外部調用MicroService
外部客戶只須要知道eureka服務器的地址
application.properties:
eureka.client.serviceUrl.defaultZone=http:<font><i>//${DOCKER_HOST_IP}:9761/eureka</i></font><font> </font>
測試在Docker中啓動的微服務:
(in the spring-microservice-client folder) mvn clean install java -jar -DDOCKER_HOST_IP=$(boot2docker ip) target/demo-0.0.1-SNAPSHOT.war
2.Docker Links
eureka服務器application.properties:
eureka.instance.prefer-ip-address = false eureka.instance.hostname = eureka
經過此設置,Eureka服務器註冊表將能夠在地址 http://eureka:<port>/eureka 下載給客戶端,
在Docker中啓動Eureka註冊表:
(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,由於我想使用eureka網頁。重要的是使用容器名。
讓咱們將先前配置的Eureka設置爲MicroService的註冊表源,在微服務項目中配置:
spring.application.name=personsService eureka.client.serviceUrl.defaultZone=http:<font><i>//eureka:9761/eureka</i></font><font> eureka.client.healthcheck.enabled=<b>true</b> eureka.instance.preferIpAddress=false eureka.instance.hostname=service ribbon.eureka.enabled=<b>true</b> </font>
啓動Docker中微服務:
(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容器將在別名eureka下看到Eureka服務器,讓咱們驗證(運行如下命令):
docker exec -it service bash (<b>this</b> will connect you to the MicroService cont.) ping eureka
輸出:
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
網關容器
網關容器也須要連接到eureka和服務容器,由於eureka將以 http://service:8080 的形式提供ribbon負載平衡的MicroService地址。所以網關須要瞭解「服務」的含義。
application.properties:
server.port=8888 hystrix.command.invokePersonsMicroService.fallback.enabled=<b>true</b> 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:<font><i>//eureka:9761/eureka</i></font><font> eureka.client.healthcheck.enabled=<b>true</b> eureka.client.registryFetchIntervalSeconds=5 eureka.client.fetch-registry=<b>true</b> </font>
運行Docker中網關:
(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
運行鏡像後,您應該再次看到重複輸出:
Simple MicroService Feign invocation result :{<font>"persons"</font><font>:[{</font><font>"name"</font><font>:</font><font>"Tomas"</font><font>,</font><font>"surname"</font><font>:</font><font>"Kloucek"</font><font>,</font><font>"department"</font><font>:</font><font>"Programmer"</font><font>}]} </font>
3. Docker橋接網絡
展現如何在全部節點之間建立基本的「橋樑」,這樣他們就能看到對方!那麼不須要手動Docker連接。
運行如下命令:
docker network create spring-cloud-network
既然咱們如今有了一個網絡,讓咱們把全部的節點放在其中
Maven編譯和鏡像構建與前面部分相同。
要啓動eureka容器,請使用:
docker run -i -t --name eureka --net spring-cloud-network -p 9761:971 registry/demo
要啓動MicroService容器,請使用:
docker run -it --name service --net spring-cloud-network service/demo
網格客戶端,啓動:
docker run -it --name client --net spring-cloud-network client/demo
讓咱們測試是否看到彼此:
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
若是您對每一個容器彼此看到的拓撲結構都很好,那麼基本的docker bridge網絡就能夠實現了,但請記住它只能在一個主機上運行。對於多個主機,您須要使用Overlay網絡或服務網格