快速上手
install(offline).
# 在有网络的机器上，执行以下命令，获取安装所需的包
$ yum install --downloadonly --downloaddir=/opt/utils yum-utils device-mapper-persistent-data lvm2
$ yum-config-manager --add-repo https://download.docker.com/linux/centos/docker-ce.repo
$ yum install --downloadonly --downloaddir=/opt/all_packages docker-ce docker-ce-cli containerd.io
root@192.168.31.201:/opt/all_packages #0$ l
audit-libs-python-2.8.4-4.el7.x86_64.rpm libcgroup-0.41-20.el7.x86_64.rpm
checkpolicy-2.5-8.el7.x86_64.rpm libsemanage-python-2.5-14.el7.x86_64.rpm
containerd.io-1.2.2-3.3.el7.x86_64.rpm policycoreutils-2.5-29.el7_6.1.x86_64.rpm
container-selinux-2.74-1.el7.noarch.rpm policycoreutils-python-2.5-29.el7_6.1.x86_64.rpm
docker-ce-18.09.2-3.el7.x86_64.rpm python-IPy-0.75-6.el7.noarch.rpm
docker-ce-cli-18.09.2-3.el7.x86_64.rpm setools-libs-3.3.8-4.el7.x86_64.rpm
root@192.168.31.201:/opt/all_packages #0$ l ../utils/
device-mapper-1.02.149-10.el7_6.3.x86_64.rpm lvm2-2.02.180-10.el7_6.3.x86_64.rpm
device-mapper-event-1.02.149-10.el7_6.3.x86_64.rpm lvm2-libs-2.02.180-10.el7_6.3.x86_64.rpm
device-mapper-event-libs-1.02.149-10.el7_6.3.x86_64.rpm python-chardet-2.2.1-1.el7_1.noarch.rpm
device-mapper-libs-1.02.149-10.el7_6.3.x86_64.rpm python-kitchen-1.1.1-5.el7.noarch.rpm
libxml2-python-2.9.1-6.el7_2.3.x86_64.rpm yum-utils-1.1.31-50.el7.noarch.rpm
# 在离线机器上， 执行以下命令以安装
$ yum localinstall /opt/utils/*.rpm
$ yum localinstall /opt/all_packages/*.rpm
install docker-compose.
$ curl -L "https://github.com/docker/compose/releases/download/1.23.2/docker-compose-$(uname -s)-$(uname -m)" \
-o /usr/local/bin/docker-compose
chmod +x /usr/local/bin/docker-compose
$ docker-compose --version
install docker-machine.
$ base=https://github.com/docker/machine/releases/download/v0.16.1 &&
curl -L $base/docker-machine-$(uname -s)-$(uname -m) >/tmp/docker-machine &&
install /tmp/docker-machine /usr/local/bin/docker-machine
基本命令.
$ service docker start或者systemctl start docker
$ docker run helloworld
$ docker version
$ docker info
$ docker image ls
$ docker container ls
$ docker container ls -a
$ docker container ls -aq
镜像制作、分发.
$ docker build --tag=zhaoyu/helloworld:0.0.1 .
$ docker save zhaoyu/helloworld -o zhaoyu_helloworld_0.0.1.tar
$ docker load < zhaoyu_helloworld_0.0.1.tar
$ docker tag zhaoyu/helloworld:0.0.1 zhaoyu/helloworld:0.0.2
$ docker image ls
REPOSITORY TAG IMAGE ID CREATED SIZE
zhaoyu/helloworld 0.0.1 8a2ec1b2d523 14 hours ago 131MB
zhaoyu/helloworld 0.0.2 8a2ec1b2d523 14 hours ago 131MB
python 2.7-slim 99079b24ed51 4 days ago 120MB
运行，查看，停止，删除.
$ docker run -p 4000:80 zhaoyu/helloworld
$ docker run -p -d 4000:80 zhaoyu/helloworld
$ docker run -it --name=zhaoyu zhaoyu/helloworld:0.0.1 /bin/bash
$ docker attach zhaoyu
$ docker container ls
$ docker container top <container_id>
$ docker container stop <container_id>
$ docker rm <container_id>
$ docker rmi <image_id>
$ docker container stop $(docker ps -a -q)
$ docker rm $(docker ps -a -q)
swarm/stack.
$ docker swarm init
$ docker node ls
$ docker stack deploy -c docker-compose.yml helloworld_swarm
$ docker stack ls
$ docker stack ps helloworld_swarm
ID NAME IMAGE NODE DESIRED STATE CURRENT STATE ERROR PORTS
l8c3a4haeccd helloworld_swarm_web.1 zhaoyu/helloworld:0.0.1 host1 Running Running 8 seconds ago
z8pz8s0zh6b1 helloworld_swarm_web.2 zhaoyu/helloworld:0.0.1 host1 Running Preparing 17 seconds ago
yd5qyb7q146x helloworld_swarm_web.3 zhaoyu/helloworld:0.0.1 host1 Running Running 1 second ago
82o2in6wudci helloworld_swarm_web.4 zhaoyu/helloworld:0.0.1 host1 Running Preparing 17 seconds ago
lidmd9n70wnz helloworld_swarm_web.5 zhaoyu/helloworld:0.0.1 host1 Running Running 2 seconds ago
$ docker service ps helloworld_swarm
$ docker stack rm helloworld_swarm
$ docker swarm leave --force
概览
docker daemon
docker client
docker registries
docker objects
images
containers
services
underlying technology
namespaces
control group
union file systems
container format
