Swarm:docker原生的集群管理工具,将一组docker主机做为一个虚拟的docker主机来管理。node
对客户端而言,Swarm集群就像是另外一台普通的docker主机。linux
Swarm集群中的每台主机都运行着一个swarm节点代理,每一个代理将该主机上的相关Docker守护进程注册到集群中。和节点代理相对应的是Swarm管理者,用于对集群进行管理。docker
运行Swarm的全部Docker节点必须运行着同一个版本的Docker。shell
docker pull swarm
有多种方式能够建立swarm集群,不一样的方式本质是基于不一样的集群发现后端(discovery backend)。常见的有以下几种方式:后端
a. 使用默认的Docker Hub:在Docker Hub注意一个集群,而后返回专属的token网络
b. 使用etcd:将swarm agent信息注册到etcdsocket
c. 使用静态文件:将全部agent信息写入manager节点上的某个文本文件中(不易扩展)tcp
d. 使用Consul:与etcd相似工具
e. 使用zookeeper:与etcd相似oop
f. 用户自定义集群建立方式:实现DiscoveryService接口
下面重点介绍下使用咱们最熟悉的zookeeper来搭建swarm集群:
首先须要搭建一套zookeeper集群,关于zookeeper集群的搭建见以前的文章。而后经过zkClient建立一个zk节点/swarm-agent用于后续存储swarm agent的信息。
使用该zookeeper集群建立新的swarm集群:
在一台swarm agent机器上执行以下命令:
docker run --name swarm-agent --net zknetwork -d swarm join --addr=10.120.196.36:2375 zk://zkServer1:2181,zkServer2:2181,zkServer3:2181/swarm-agent
其中addr参数是告诉zookeeper本台swarm agent的docker守护进程服务的ip和host。zk://<zk_addr>/<path>
则为zookeeper协调服务的数据节点。
此处,由于咱们agent所在机器与部署zookeeper集群的容器属于同一台宿主机,因此直接将该swarm agent的容器挂载到zk网络下,后面zk的地址直接写了容器的名字。实际上,尝试过用zk://10.120.196.36:2181,10.120.196.36:2182,10.120.196.36:2183/swarm-agent的方式来链接zookeeper,从日志中看到没法链接上zookeeper端口。而在下面另外一台节点使用该<zk_addr>/<path>
的时候,能够链接上。
查看swarm agent容器中的log信息:
root@hadoop985:~# docker logs swarm-agent1 -f time="2017-10-24T09:35:10Z" level=info msg="Initializing discovery without TLS" time="2017-10-24T09:35:10Z" level=info msg="Registering on the discovery service every 1m0s..." addr="10.120.196.36:2375" discovery="zk://zkServer1:2181,zkServer2:2181,zkServer3:2181/swarm-agent" 2017/10/24 09:35:10 Connected to 192.168.16.3:2181 2017/10/24 09:35:10 Authenticated: id=170934675179241473, timeout=10000 2017/10/24 09:35:10 Re-submitting `0` credentials after reconnect time="2017-10-24T09:36:10Z" level=info msg="Registering on the discovery service every 1m0s..." addr="10.120.196.36:2375" discovery="zk://zkServer1:2181,zkServer2:2181,zkServer3:2181/swarm-agent" ......
能够看到,agent节点已经连上了zk集群,且每隔一段时间agent会从新注册到dicovery service(这里写的"every 1m0s"不知道是什么意思,《第一本Docker书》和《Docker容器与容器云》中介绍的都是默认25秒发送一次心跳信息。)
相似的,再在另外一台swarm agent机器上执行命令(此处由于是不一样的机器,需使用不一样的<zk_addr>/<path>
):
docker run --name swarm-agent -d swarm join --addr=10.120.196.37:2375 zk://10.120.196.36:2181,10.120.196.36:2182,10.120.196.36:2183/swarm-agent
查看容器的日志肯定其链接成功:
root@hadoop986:~/docker# docker logs swarm-agent -f time="2017-10-24T09:50:03Z" level=info msg="Initializing discovery without TLS" time="2017-10-24T09:50:03Z" level=info msg="Registering on the discovery service every 1m0s..." addr="10.120.196.37:2375" discovery="zk://10.120.196.36:2181,10.120.196.36:2182,10.120.196.36:2183/swarm-agent" 2017/10/24 09:50:03 Connected to 10.120.196.36:2181 2017/10/24 09:50:03 Authenticated: id=98877081139347460, timeout=10000 2017/10/24 09:50:03 Re-submitting `0` credentials after reconnect ......
咱们再看下zookeeper中的节点信息:
WatchedEvent state:SyncConnected type:None path:null ls / [zookeeper, swarm-agent] [zk: localhost:2181(CONNECTED) 1] ls /swarm-agent [docker] [zk: localhost:2181(CONNECTED) 2] ls /swarm-agent/docker [swarm] [zk: localhost:2181(CONNECTED) 3] ls /swarm-agent/docker/swarm [nodes] [zk: localhost:2181(CONNECTED) 4] ls /swarm-agent/docker/swarm/nodes [10.120.196.36:2375, 10.120.196.37:2375]
能够看到两台节点都成功注册到了zookeeper。
还能够经过swarm list的方式来查看节点信息:
root@hadoop986:~/docker# docker run --rm swarm list zk://10.120.196.36:2181,10.120.196.36:2182,10.120.196.36:2183/swarm-agent time="2017-10-24T09:55:40Z" level=info msg="Initializing discovery without TLS" 2017/10/24 09:55:40 Connected to 10.120.196.36:2183 2017/10/24 09:55:40 Authenticated: id=242992269245284353, timeout=10000 2017/10/24 09:55:40 Re-submitting `0` credentials after reconnect 10.120.196.36:2375 10.120.196.37:2375
其中,--rm参数是让容器退出后自动清理容器内部的文件系统(--rm选项不能与-d同时使用,即只能自动清理foreground容器,不能自动清理detached容器)。
在hadoop986机器上执行命令:
docker run --name swarm-manage -d -p 2380:2375 swarm manage zk://10.120.196.36:2181,10.120.196.36:2182,10.120.196.36:2183/swarm-agent
而后能够经过docker info查看swarm集群的信息:
root@hadoop986:~/docker# docker -H tcp://localhost:2380 info Containers: 0 Running: 0 Paused: 0 Stopped: 0 Images: 0 Server Version: swarm/1.2.8 Role: primary Strategy: spread Filters: health, port, containerslots, dependency, affinity, constraint, whitelist Nodes: 2 (unknown): 10.120.196.36:2375 └ ID: └ Status: Pending └ Containers: 0 └ Reserved CPUs: 0 / 0 └ Reserved Memory: 0 B / 0 B └ Labels: └ Error: Cannot connect to the Docker daemon at tcp://10.120.196.36:2375. Is the docker daemon running? └ UpdatedAt: 2017-10-24T10:42:31Z └ ServerVersion: (unknown): 10.120.196.37:2375 └ ID: └ Status: Pending └ Containers: 0 └ Reserved CPUs: 0 / 0 └ Reserved Memory: 0 B / 0 B └ Labels: └ Error: Cannot connect to the Docker daemon at tcp://10.120.196.37:2375. Is the docker daemon runnindog? └ UpdatedAt: 2017-10-24T10:42:31Z └ ServerVersion: Plugins: Volume: Network: Swarm: NodeID: Is Manager: false Node Address: Kernel Version: 3.16.0-4-amd64 Operating System: linux Architecture: amd64 CPUs: 0 Total Memory: 0 B Name: d66603b3a60a Docker Root Dir: Debug Mode (client): false Debug Mode (server): false WARNING: No kernel memory limit support Experimental: false Live Restore Enabled: false
能够看到,当前两个node都处于Pending未链接状态:
Error: Cannot connect to the Docker daemon at tcp://10.120.196.37:2375. Is the docker daemon runnindog?
这是由于咱们的agent机器上的docker守护进程,默认不支持tcp socket访问。
须要修改/etc/default/docker文件开启tcp socket链接的功能:
DOCKER_OPTS="$DOCKER_OPTS -H 0.0.0.0:2375 -H unix:///var/run/docker.sock"
默认的配置在/lib/systemd/system下:
root@hadoop985:/lib/systemd/system# ls -l | grep docker -rw-r--r-- 1 root root 1037 Jan 17 2017 docker.service -rw-r--r-- 1 root root 197 Jan 17 2017 docker.socket
修改完/etc/default/docker后,须要重启docker守护进程:
/etc/init.d/docker restart
注意:对于debian8的系统,存在一个bug,导致通过上述操做后,2375端口仍没有起来,是由于/etc/default/docker中的DOCKER_OPTS配置并无生效。解决的办法能够参考:http://blog.csdn.net/jcjc918/article/details/46564891
通过上述修改后,从新查看docker info信息,能够发现节点成功链接:
root@hadoop986:~# docker -H tcp://localhost:2380 info Containers: 10 Running: 10 Paused: 0 Stopped: 0 Images: 5 Server Version: swarm/1.2.8 Role: primary Strategy: spread Filters: health, port, containerslots, dependency, affinity, constraint, whitelist Nodes: 2 hadoop985: 10.120.196.36:2375 └ ID: VP32:TR4C:WQPL:6DRY:75BB:4Q7O:WRHQ:X5RL:Y2GG:VCMO:6KVV:5DU5|10.120.196.36:2375 └ Status: Healthy └ Containers: 5 (5 Running, 0 Paused, 0 Stopped) └ Reserved CPUs: 0 / 4 └ Reserved Memory: 0 B / 33.02 GiB └ Labels: kernelversion=3.16.0-4-amd64, operatingsystem=Debian GNU/Linux 8 (jessie), ostype=linux, storagedriver=aufs └ UpdatedAt: 2017-10-25T01:41:30Z └ ServerVersion: 1.13.0 hadoop986: 10.120.196.37:2375 └ ID: VLY4:UIDQ:DLZC:XYLG:4FMY:5LET:OXPV:7R6O:3JDI:VR3G:MQJU:6VRZ|10.120.196.37:2375 └ Status: Healthy └ Containers: 5 (5 Running, 0 Paused, 0 Stopped) └ Reserved CPUs: 0 / 4 └ Reserved Memory: 0 B / 33.02 GiB └ Labels: kernelversion=3.16.0-4-amd64, operatingsystem=Debian GNU/Linux 8 (jessie), ostype=linux, storagedriver=aufs └ UpdatedAt: 2017-10-25T01:41:54Z └ ServerVersion: 1.13.0 Plugins: Volume: Network: Swarm: NodeID: Is Manager: false Node Address: Kernel Version: 3.16.0-4-amd64 Operating System: linux Architecture: amd64 CPUs: 8 Total Memory: 66.05 GiB Name: d66603b3a60a Docker Root Dir: Debug Mode (client): false Debug Mode (server): false WARNING: No kernel memory limit support Experimental: false Live Restore Enabled: false
后续对swarm集群的使用,彻底能够将整个swarm集群看成一台普通的docker主机来对待。经过
docker -H tcp://localhost:2380 run -d --name zkserver zookeeper
就能够在集群中建立一个运行zookeeper镜像的容器,默认地,swarm会按照“平铺策略”来让全部容器比较平均地分配到每一个节点。
相应地,查看集群中运行着的容器:
docker -H tcp://localhost:2380 ps