other cheats
Mac Install
install docker client:
brew install docker
install daemon:
(cask = GUI app install)
brew cask install docker
Docker Images
find images
docker search mariadb
search image details:
pull image to localhost
docker pull mariadb:latest
docker pull mariadb/server:latest
build an image
#-t = repository name + tags. Here repository name = teemu/mariadb, tags would be added as teemu/mariadb:v0.1
#-f = location of dockerfile, otherwise Dockerfile in context dir
#./docker in the end = context dir, look here for DockerFile and any files it references
docker build -t teemu/mariadb -f ~/Dropbox/mariadb_dockerfile.txt ./docker
docker build -t mytf .
build without using cached images
docker build --no-cache
list local images
docker image ls
remove local image
docker image rm <imagename>
run image: run
#–name = container name,
#-d = detached, container exits when root process in container exits, container will run in background with -d.
#to see logs in a background container, do docker logs -f CONTAINERID
#-e = set environment variable, can have multiple -e for multiple environment variables
docker run --name mymariadb-container -e MYSQL_ROOT_PASSWORD=secret_pw -d mariadb/server:latest
Networking
access host from inside docker image
wget "host.docker.internal:8080/my_url"
-> localhost is marked as "host.docker.internal" from inside container
map container port to host
publish vs expose: in summary it seems publish automatically exposes, so if you look at a Dockerfile with EXPOSE statements, read the link <-. it seems expose is more for documentation but check elsewhere for better informed content.
#publish port 3306 from container as 3310 on host (see link for expose vs publish):
docker run --name mymariadb-container -p3310:3306 -e MYSQL_ROOT_PASSWORD=secret_pw -d mariadb/server:latest
#publish all ports, on same port on host
docker run --name mymariadb-container -P -e MYSQL_ROOT_PASSWORD=secret_pw -d mariadb/server:latest
GPU access
#enable all gpu’s in the container, map datadir to containers /mystuff, and host port 8889 to container port 8888:
docker run --gpus all --name jupyt -v /home/bob/mydatadir:/mystuff -p8889:8888 -td tensorflow/tensorflow:latest-gpu
List containers
running containers:
docker ps
include stopped:
docker ps -a
or alternatively:
docker container ls -a
show container size:
docker ps -s
size + include stopped:
docker ps -as
container shell
shell into container
#-i = interactive, pipes STDOUT from container to current shell, STDIN from current shell to container
#-t = pseudo tty, allows the piped commands to be passed to the container shell
docker exec -it mymariadb-container bash
docker exec -it my_container_name sh
more: using interactive without -t
Docker Info
system info:
docker info
show container details:
docker inspect mymariadb-container
docker container IP address
docker inspect <containername> | grep IPAddress
container logs
docker logs <containername>
follow log like tail -f:
docker logs <containername> -f
list running containers (+ports)
docker container ls
list containers matching name filter:
docker container ls -f name=mymariadb
Cleanup
stop a running container
docker stop <id>
docker stop <name>
remove stopped containers
docker container prune
docker container prune -f #<- f=force, = do not ask for confirmation
remove everything locally:
(images, containers, …)
docker system prune
Docker Compose:
environment variables
.env <- in folder where docker-compose is run
start all containers in compose file
docker compose up
stop all containers in compose file
docker compose down
jupyter in docker
jupyter notebook --no-browser --ip=0.0.0.0 --allow-root --NotebookApp.token='' --NotebookApp.password=''
jupyter
following are jupyter notebook related commands, not really docker but i need to put them somewhere so why not.
set jupyter themes
pip install jupyterthemes
list jupyter these
jt -l
change to dark theme:
jt -t chesterish
reset jupyter theme:
jt -r
Random experiments in software engineering 