Docker 离线安装(Linux)

一、环境

1. CentenOS 7 内核3.1以上

    内核查看命令: uname -a

2. 安装包:docker-19.03.8.tgz

    下载地址:https://download.docker.com/linux/static/stable/x86_64/

二、安装

1.解压

    tar -xvf docker-19.03.8.tgz

2.移动(/user/bin/目录下)

    cp docker/* /usr/bin/

3.将docker注册为service

    vim /etc/systemd/system/docker.service

    将下列配置加到docker.service中并保存

[Unit]

Description=Docker Application Container EngineDocumentation=https://docs.docker.comAfter=network-online.target firewalld.serviceWants=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 dockerExecStart=/usr/bin/dockerdExecReload=/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=infinityLimitNPROC=infinityLimitCORE=infinity

# Uncomment TasksMax if your systemd version supports it.

# Only systemd 226 and above support this version.

#TasksMax=infinityTimeoutStartSec=0

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

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

# restart the docker process if it exits prematurelyRestart=on-failureStartLimitBurst=3StartLimitInterval=60s 

[Install]

WantedBy=multi-user.target

4.启动

    chmod +x /etc/systemd/system/docker.service             #添加文件权限并启动docker

    systemctl daemon-reload                                                       #重载unit配置文件

    systemctl start docker                                                             #启动Docker

    systemctl enable docker.service                                           #设置开机自启

5.验证

    systemctl status docker                                                         #查看Docker状态

    docker -v                                                                                     #查看Docker版本

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