Docker Compose to Orchestrate Containers显示了如何使用Docker Compose运行两个链接的Docker容器。 使用Docker Swarm集群化展示了如何配置Docker Swarm集群。
该博客将展示如何在Docker Swarm集群中运行使用Docker Compose创建的多容器应用程序。
Docker 1.7.0发行了更新版本的Docker Compose和Docker Swarm。
Docker 1.7.0 CLI
获取最新的Docker CLI：
curl https://get.docker.com/builds/Darwin/x86_64/docker-latest > /usr/local/bin/docker并检查版本为：
docker -v
Docker version 1.7.0, build 0baf609Docker机器0.3.0
获取最新的Docker机器为：
curl -L https://github.com/docker/machine/releases/download/v0.3.0/docker-machine_darwin-amd64 > /usr/local/bin/docker-machine并检查版本为：
docker-machine -v
docker-machine version 0.3.0 (0a251fe)Docker Compose 1.3.0
通过以下方式获取最新的Docker Compose：
curl -L https://github.com/docker/compose/releases/download/1.3.0/docker-compose-`uname -s`-`uname -m` > /usr/local/bin/docker-compose
chmod +x /usr/local/bin/docker-compose并将版本验证为：
docker-compose -v
docker-compose version: 1.3.0
CPython version: 2.7.9
OpenSSL version: OpenSSL 1.0.1j 15 Oct 2014Docker Swarm 0.3.0
Swarm作为Docker容器运行，可以下载为：
docker pull swarm您可以在docs.docker.com/swarm或使用Docker Swarm的集群中了解Docker Swarm 。
创建Docker Swarm集群
Docker Swarm的关键组件如下所示：
在使用Docker Swarm进行集群化中进行了解释。
- Swarm入门最简单的方法是使用官方的Docker映像：
docker run swarm create此命令返回发现令牌，在本文档中称为<TOKEN>，并且是唯一的集群ID。 稍后在创建主节点和节点时将使用它。 该群集ID由Docker Hub上的托管发现服务返回。
输出显示为：
docker run swarm create Unable to find image 'swarm:latest' locally latest: Pulling from swarm 55b38848634f: Pull complete fd7bc7d11a30: Pull complete db039e91413f: Pull complete 1e5a49ab6458: Pull complete 5d9ce3cdadc7: Pull complete 1f26e949f933: Pull complete e08948058bed: Already exists swarm:latest: The image you are pulling has been verified. Important: image verification is a tech preview feature and should not be relied on to provide security. Digest: sha256:0e417fe3f7f2c7683599b94852e4308d1f426c82917223fccf4c1c4a4eddb8ef Status: Downloaded newer image for swarm:latest 1d528bf0568099a452fef5c029f39b85最后一行是<TOKEN>。
请确保立即记下该群集ID，因为以后无法列出它。 这应该用＃661修复。
- Swarm已与Docker Machine完全集成，因此是最简单的入门方法。 接下来创建一个Swarm Master：
docker-machine create -d virtualbox --swarm --swarm-master --swarm-discovery token://<TOKEN> swarm-master将
<TOKEN>替换为上一步中获得的集群ID。--swarm使用Swarm配置计算机，----swarm-master将创建的计算机配置为Swarm master。 Swarm主服务器创建与Docker Hub上的托管服务进行对话，并通知已在集群中创建了主服务器。 - 连接到这个新创建的母版，并找到有关它的更多信息：
eval "$(docker-machine env swarm-master)" docker info这将输出显示为：
> docker info Containers: 2 Images: 7 Storage Driver: aufs Root Dir: /mnt/sda1/var/lib/docker/aufs Backing Filesystem: extfs Dirs: 11 Dirperm1 Supported: true Execution Driver: native-0.2 Logging Driver: json-file Kernel Version: 4.0.5-boot2docker Operating System: Boot2Docker 1.7.0 (TCL 6.3); master : 7960f90 - Thu Jun 18 18:31:45 UTC 2015 CPUs: 1 Total Memory: 996.2 MiB Name: swarm-master ID: DLFR:OQ3E:B5P6:HFFD:VKLI:IOLU:URNG:HML5:UHJF:6JCL:ITFH:DS6J Debug mode (server): true File Descriptors: 22 Goroutines: 36 System Time: 2015-07-11T00:16:34.29965306Z EventsListeners: 1 Init SHA1: Init Path: /usr/local/bin/docker Docker Root Dir: /mnt/sda1/var/lib/docker Username: arungupta Registry: https://index.docker.io/v1/ Labels: provider=virtualbox - 创建一个Swarm节点：
docker-machine create -d virtualbox --swarm --swarm-discovery token://<TOKEN> swarm-node-01将
<TOKEN>替换为先前步骤中获得的集群ID。节点创建与Docker Hub上的托管服务进行对话，并加入之前创建的集群。 这由
--swarm-discovery token://...指定，并指定之前获得的集群ID。 - 为了使其成为一个真正的集群，让我们创建第二个节点：
docker-machine create -d virtualbox --swarm --swarm-discovery token://<TOKEN> swarm-node-02将
<TOKEN>替换为上一步中获得的集群ID。 - 列出到目前为止创建的所有节点：
docker-machine ls显示的输出类似于以下内容：
docker-machine ls NAME ACTIVE DRIVER STATE URL SWARM lab virtualbox Running tcp://192.168.99.101:2376 summit2015 virtualbox Running tcp://192.168.99.100:2376 swarm-master * virtualbox Running tcp://192.168.99.102:2376 swarm-master (master) swarm-node-01 virtualbox Running tcp://192.168.99.103:2376 swarm-master swarm-node-02 virtualbox Running tcp://192.168.99.104:2376 swarm-master属于群集的计算机在“群集”列中具有群集的名称，否则为空白。 例如，“ lab”和“ summit2015”是独立的计算机，其中所有其他计算机都是“ swarm-master”集群的一部分。 Swarm主机也由SWARM列中的（主机）标识。
- 连接到Swarm集群并找到有关它的一些信息：
eval "$(docker-machine env --swarm swarm-master)" docker info输出显示为：
> docker info Containers: 4 Images: 3 Role: primary Strategy: spread Filters: affinity, health, constraint, port, dependency Nodes: 3 swarm-master: 192.168.99.102:2376 └ Containers: 2 └ Reserved CPUs: 0 / 1 └ Reserved Memory: 0 B / 1.022 GiB └ Labels: executiondriver=native-0.2, kernelversion=4.0.5-boot2docker, operatingsystem=Boot2Docker 1.7.0 (TCL 6.3); master : 7960f90 - Thu Jun 18 18:31:45 UTC 2015, provider=virtualbox, storagedriver=aufs swarm-node-01: 192.168.99.103:2376 └ Containers: 1 └ Reserved CPUs: 0 / 1 └ Reserved Memory: 0 B / 1.022 GiB └ Labels: executiondriver=native-0.2, kernelversion=4.0.5-boot2docker, operatingsystem=Boot2Docker 1.7.0 (TCL 6.3); master : 7960f90 - Thu Jun 18 18:31:45 UTC 2015, provider=virtualbox, storagedriver=aufs swarm-node-02: 192.168.99.104:2376 └ Containers: 1 └ Reserved CPUs: 0 / 1 └ Reserved Memory: 0 B / 1.022 GiB └ Labels: executiondriver=native-0.2, kernelversion=4.0.5-boot2docker, operatingsystem=Boot2Docker 1.7.0 (TCL 6.3); master : 7960f90 - Thu Jun 18 18:31:45 UTC 2015, provider=virtualbox, storagedriver=aufs CPUs: 3 Total Memory: 3.065 GiB有3个节点-1个Swarm主节点和2个Swarm节点。 此群集中总共有4个容器在运行–主节点和每个节点上有一个Swarm代理，主节点上还有一个额外的swarm-agent-master。
- 使用以下命令列出集群中的节点：
docker run swarm list token://<TOKEN>输出显示为：
> docker run swarm list token://1d528bf0568099a452fef5c029f39b85 192.168.99.103:2376 192.168.99.104:2376 192.168.99.102:2376
使用Docker Compose将Java EE应用程序部署到Docker Swarm集群
Docker Compose to Orchestrate Containers解释了如何使用Docker Compose轻松启动多容器应用程序。
- 使用该博客中解释
docker-compose.yml文件以如下方式启动容器：docker-compose up -d Creating wildflymysqljavaee7_mysqldb_1... Creating wildflymysqljavaee7_mywildfly_1...docker-compose.yml文件如下所示：mysqldb: image: mysql:latest environment: MYSQL_DATABASE: sample MYSQL_USER: mysql MYSQL_PASSWORD: mysql MYSQL_ROOT_PASSWORD: supersecret mywildfly: image: arungupta/wildfly-mysql-javaee7 links: - mysqldb:db ports: - 8080:8080 - 检查集群中运行的容器，如下所示：
eval "$(docker-machine env --swarm swarm-master)" docker info看到的输出为：
docker info Containers: 7 Images: 5 Role: primary Strategy: spread Filters: affinity, health, constraint, port, dependency Nodes: 3 swarm-master: 192.168.99.102:2376 └ Containers: 2 └ Reserved CPUs: 0 / 1 └ Reserved Memory: 0 B / 1.022 GiB └ Labels: executiondriver=native-0.2, kernelversion=4.0.5-boot2docker, operatingsystem=Boot2Docker 1.7.0 (TCL 6.3); master : 7960f90 - Thu Jun 18 18:31:45 UTC 2015, provider=virtualbox, storagedriver=aufs swarm-node-01: 192.168.99.103:2376 └ Containers: 2 └ Reserved CPUs: 0 / 1 └ Reserved Memory: 0 B / 1.022 GiB └ Labels: executiondriver=native-0.2, kernelversion=4.0.5-boot2docker, operatingsystem=Boot2Docker 1.7.0 (TCL 6.3); master : 7960f90 - Thu Jun 18 18:31:45 UTC 2015, provider=virtualbox, storagedriver=aufs swarm-node-02: 192.168.99.104:2376 └ Containers: 3 └ Reserved CPUs: 0 / 1 └ Reserved Memory: 0 B / 1.022 GiB └ Labels: executiondriver=native-0.2, kernelversion=4.0.5-boot2docker, operatingsystem=Boot2Docker 1.7.0 (TCL 6.3); master : 7960f90 - Thu Jun 18 18:31:45 UTC 2015, provider=virtualbox, storagedriver=aufs CPUs: 3 Total Memory: 3.065 GiB - “ swarm-node-02”正在运行三个容器，因此让我们看一下在那里运行的容器列表：
eval "$(docker-machine env swarm-node-02)"并查看正在运行的容器的列表，如下所示：
docker ps -a CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES b1e7d9bd2c09 arungupta/wildfly-mysql-javaee7 "/opt/jboss/wildfly/ 38 seconds ago Up 37 seconds 0.0.0.0:8080->8080/tcp wildflymysqljavaee7_mywildfly_1 ac9c967e4b1d mysql:latest "/entrypoint.sh mysq 38 seconds ago Up 38 seconds 3306/tcp wildflymysqljavaee7_mysqldb_1 45b015bc79f4 swarm:latest "/swarm join --addr 20 minutes ago Up 20 minutes 2375/tcp swarm-agent - 然后可以使用以下命令再次访问该应用程序：
curl http://$(docker-machine ip swarm-node-02):8080/employees/resources/employees并将输出显示为：
<?<span class="pl-ent">xml</span><span class="pl-e"> version</span>=<span class="pl-s"><span class="pl-pds">"</span>1.0<span class="pl-pds">"</span></span><span class="pl-e"> encoding</span>=<span class="pl-s"><span class="pl-pds">"</span>UTF-8<span class="pl-pds">"</span></span><span class="pl-e"> standalone</span>=<span class="pl-s"><span class="pl-pds">"</span>yes<span class="pl-pds">"</span></span>?><<span class="pl-ent">collection</span>><<span class="pl-ent">employee</span>><<span class="pl-ent">id</span>>1</<span class="pl-ent">id</span>><<span class="pl-ent">name</span>>Penny</<span class="pl-ent">name</span>></<span class="pl-ent">employee</span>><<span class="pl-ent">employee</span>><<span class="pl-ent">id</span>>2</<span class="pl-ent">id</span>><<span class="pl-ent">name</span>>Sheldon</<span class="pl-ent">name</span>></<span class="pl-ent">employee</span>><<span class="pl-ent">employee</span>><<span class="pl-ent">id</span>>3</<span class="pl-ent">id</span>><<span class="pl-ent">name</span>>Amy</<span class="pl-ent">name</span>></<span class="pl-ent">employee</span>><<span class="pl-ent">employee</span>><<span class="pl-ent">id</span>>4</<span class="pl-ent">id</span>><<span class="pl-ent">name</span>>Leonard</<span class="pl-ent">name</span>></<span class="pl-ent">employee</span>><<span class="pl-ent">employee</span>><<span class="pl-ent">id</span>>5</<span class="pl-ent">id</span>><<span class="pl-ent">name</span>>Bernadette</<span class="pl-ent">name</span>></<span class="pl-ent">employee</span>><<span class="pl-ent">employee</span>><<span class="pl-ent">id</span>>6</<span class="pl-ent">id</span>><<span class="pl-ent">name</span>>Raj</<span class="pl-ent">name</span>></<span class="pl-ent">employee</span>><<span class="pl-ent">employee</span>><<span class="pl-ent">id</span>>7</<span class="pl-ent">id</span>><<span class="pl-ent">name</span>>Howard</<span class="pl-ent">name</span>></<span class="pl-ent">employee</span>><<span class="pl-ent">employee</span>><<span class="pl-ent">id</span>>8</<span class="pl-ent">id</span>><<span class="pl-ent">name</span>>Priya</<span class="pl-ent">name</span>></<span class="pl-ent">employee</span>></<span class="pl-ent">collection</span>>
- 始终可以在以下网址获得有关此设置的最新说明： github.com/javaee-samples/docker-java/blob/master/chapters/docker-swarm.adoc 。
请享用！