docker 命令行使用

docker info

docker images [OPTSIONS] [REPOSITORY]

docker image list --format "table {{.ID}}\t{{.Repository}}\t{{.Tag}}\t{{.Size}}"
docker image list --format "{{.Repository}}:{{.Tag}}"

# 导出
docker save busybox > busybox.tar
docker save --output busybox.tar busybox
docker save -o busybox.tar busybox
docker save myimage:latest | gzip > myimage_latest.tar.gz

# 导入
docker load < busybox.tar.gz
docker load --input fedora.tar

docker inspect [OPTIONS] container|image [container|image...]

-f, --format=""

docker inspect ubuntu:14.01

docker rmi [OPTIONS] IMAGRE [IMAGE...]

docker rmi $(docker images -q ubuntu)

docker rm $(docker ps -a -q)
docker rmi $(docker images -a -q)

docker search [OPTIONS] term
--automated=false Only show automated builds
--no-trunc=false Don't truncate output
-s, --stars=0 Only displays with at least x stars
最多返回25个结果

docker pull [OPTION] NAME [:TAG]
-a, --all-tags=false Download all tagged images in the repository

docker push NAME [:TAG]

docker run IMAGE [COMMAND] [ARG...]

docker run unbuntu echo "Hello world"

# Issue in windows: the input device is not a TTY.  If you are using mintty, try prefixing the command with 'winpty'

echo "alias docker='winpty docker'" >> ~/.bashrc
docker run -it --rm \
  -w "/go/src/github.com/cosmtrek/hub" \
  -v ${pwd}:/go/src/github.com/cosmtrek/hub \
  -p 8000:8000 \
  cosmtrek/air

docker run  -d \
   --name=myweb \
   --health-cmd="curl -fs http://localhost/ || exit 1" \
   --health-interval=5s \
   --health-retries=12 \
   --health-timeout=2s \
   nginx:1.23

docker run --env-file ...

docker run -i -t IMAGE /bin/bash

docker ps [-a] [-l]
# 查看所有容器占的存储空间
docker ps -as
docker inspect id/name

# 仅查看容器ID
docker ps -a -q

docker run --name=自定义名 -t -i IMAGE /bin/bash

docker run --name=container01 -t -i unbunt /bin/bash
docker ps -l

docker start [-i] ID/NAME

docker rm ID/NAME

docker run -i -t IMAGE /bin/bash

docker attach ID/NAME

docker run -d IMAGE [COMMAND] [ARG...]

docker run --name dc1 -d unbunt /bin/sh -c "while true; do echo hello world; sleep 1; done"

docker logs [-f] [-t] [-tail] 容器名

docker logs -tf --tail 10 dc1

docker top dc1

docker exec [-d] [-i] [-t] 容器名 [COMMAND] [ARG...]

docker exec -i -t dc1 /bin/bash

# 使用容器内的变量
docker exec -e NEW_VAR=value <容器名> sh -c 'echo \${NEW_VAR}'

docker top dc1

docker exec -it -u root 容器名 /bin/bash

docker stop 容器名 ## 发送终止信号，等待停止
docker kill 容器名 ## 直接kill

man docker-run
man docker-logs
man docker-top
man docker-exec

docker context use default
docker context inspect default
docker context ls

run [-P] [-p]
-P,--publish-all=true|false 默认为false
docker run -P -i -t ubuntu /bin/bash

-p --publish=[]
containerport
  docker run -p 80 -i -t ubuntu /bin/bash # 宿主机端口随机映射

hostPort:containerPort
  docker run -p 8080:8080 -i -t ubuntu /bin/bash # 宿主机端口与容器端口意义映射

ip::containerPort
  docker run -p 0000:80 -i -t ubuntu /bin/bash # 指定容器端口

ip:hostPort:containerPort
 docker run -p 0.0.0.0:8080:80 -i -t ubuntu /bin/bash # 指定host ip + 端口和容器端口

docker port 容器名 # 查看端口映射情况

docker exec web nginx

docker top web

docker run -p 80 --name web -i -t ubuntu /bin/bash
apt-get install nginx

docker system df
docker system df -v

docker system prune
docker system prune -f -a
docker system prune --force

cd /var/lib/docker/overlay2

# 按空间倒序，top 5
du -s * |sort -nr|head -n 5

# 查找对应的 Docker 容器
docker ps -q | xargs docker inspect --format ' {{.Id}}, {{.Name}}, {{.GraphDriver.Data.WorkDir}}' | grep <uuid>
 <uuid>, <pod-name>, /var/lib/docker/overlay2/<uuid>/work

# 使用需要为 1 的 GPU
docker run -it -e NVIDIA_VISIBLE_DEVICES=1 ...

file integrity checksum failed for "xxx"

$ docker exec -it <name> /bin/sh
OCI runtime exec failed: exec failed: unable to start container process: open /dev/pts/0: operation not permitted: unknown