linux下離線安裝docker


一、基礎環境

1、操作系統:CentOS 7

2、Docker版本:18.06.1

3、官方參考文檔

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

二、Docker安裝

1、解壓

tar -xvf docker-18.06.1-ce.tgz

2、將解壓出來的docker文件內容移動到 /usr/bin/ 目錄下

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、創建docker用戶組

groupadd docker

5、將docker注冊為service

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

將下列配置加到dockerd.service中並保存

[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、啟動

systemctl daemon-reload                                                       #重載unit配置文件

systemctl start dockerd                                                             #啟動Docker

systemctl enable dockerd.service                                           #設置開機自啟

7、驗證

systemctl status docker                                                         #查看Docker狀態

docker -v                                                                                     #查看Docker版本


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