Docker用法参数详细说明,Docker常用命令一览表,Docker最全使用文档, 使用手册。

General info

docker --version
docker info


docker container ls
docker container ls --all     # see stopped containers also
docker container ls --all -q  # see stopped containers; get the id only
docker container ls -aq       # see stopped containers; get the id only


docker images           # see what is available
docker image ls         # see what is available
docker rmi <image id>   # remove an image

Running containers

docker ps          # see what is running
docker ps -a       # see everything, even stopped containers
docker ps -a -q    # get just the container IDs for all jobs
docker create      # "stage" a container (then `start` it)
docker stop        # stop a container
docker kill        # kill a container
docker start       # start a container
docker restart     # restart a container
docker rm          # remove the container (can't `restart` it then)
docker stop $(docker ps -q)     # stop all containers
docker rm $(docker ps -a -q)    # remove all stopped containers

Connect to a service in a container, e.g. TensorFlow

First we map 8888 (Jupyter notebook) on the “inside” to 5000 on the “outside” and run the image containing TensorFlow:

docker run -it -v "$PWD":/mnist -p 5000:8888

(This also maps the current directory to a mount in the docker container.) Then, we launch ipython notebook inside the image. Next, we get the correct host IP address with:

docker-machine ls

This will provide a URL, e.g. tcp://192.168.XYZ.XYZ:ABCD. Point a browser to 192.168.XYZ.XYZ:5000 and we will see the notebook.

Pushing to DockerHub

e.g., the iqsharp container:

docker login
docker tag iqsharp gnperdue/iqsharp
docker push gnperdue/iqsharp

Pulling from DockerHub

``` docker pull gnperdue/kubia