linux下离线安装docker


一、基础环境

1、操作系统:CentOS 7

2、Docker版本:18.06.1

3、官方参考文档

https://docs.docker.com/install/linux/docker-ce/binaries/#install-static-binaries

二、Docker安装

1、解压

tar -xvf docker-18.06.1-ce.tgz

2、将解压出来的docker文件内容移动到 /usr/bin/ 目录下

ls -s docker/* /usr/local/bin/

3、新增docker配置文件

vi /etc/docker/docker.jason

{
"registry-mirrors": ["https://registry.docker-cn.com"]
}

4、创建docker用户组

groupadd docker

5、将docker注册为service

vi /usr/lib/systemd/system/dockerd.service

将下列配置加到dockerd.service中并保存

[Unit]
Description=Docker Application Container Engine
Documentation=https://docs.docker.com
After=network-online.target firewalld.service
Wants=network-online.target

[Service]
Type=notify

# the default is not to use systemd for cgroups because the delegate issues still
# exists and systemd currently does not support the cgroup feature set required
# for containers run by docker
ExecStart=/usr/local/bin/dockerd
ExecReload=/bin/kill -s HUP $MAINPID

# Having non-zero Limit*s causes performance problems due to accounting overhead
# in the kernel. We recommend using cgroups to do container-local accounting.
LimitNOFILE=infinity
LimitNPROC=infinity
LimitCORE=infinity

# Uncomment TasksMax if your systemd version supports it.
# Only systemd 226 and above support this version.
#TasksMax=infinity
TimeoutStartSec=0

# set delegate yes so that systemd does not reset the cgroups of docker containers
Delegate=yes

# kill only the docker process, not all processes in the cgroup
KillMode=process

# restart the docker process if it exits prematurely
Restart=on-failure
StartLimitBurst=3
StartLimitInterval=60s

[Install]
WantedBy=multi-user.target

6、启动

systemctl daemon-reload                                                       #重载unit配置文件

systemctl start dockerd                                                             #启动Docker

systemctl enable dockerd.service                                           #设置开机自启

7、验证

systemctl status docker                                                         #查看Docker状态

docker -v                                                                                     #查看Docker版本


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