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docker-command-cheatsheet.txt
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docker-command-cheatsheet.txt
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************************************************************************
*** This document contains the URLs and commands used in this course ***
************************************************************************
*** 01_02 ***
https://www.docker.com/products/docker-desktop/
https://code.visualstudio.com/download
*** 01_03 ***
https://github.com/LinkedInLearning/docker-your-first-project-4485003
https://git-scm.com/downloads
cd c:\projects\docker-your-first-project-4485003
git clone https://github.com/LinkedInLearning/docker-your-first-project-4485003.git
git checkout CHAPTER#_MOVIE#
git branch
*** 02_01 ***
Code for this video is in the dockerfile
*** 02_02 ***
docker build [OPTIONS] PATH | URL | -
https://docs.docker.com/engine/reference/commandline/build/
docker build .
docker build -f [dockerfile] .
docker build --force-rm=true .
docker build --rm=true .
docker build --no-cache .
docker build --help
*** 03_01 ***
docker search python
docker search --filter is-official=true python
docker search --filter stars=100 python
docker search --filter is-automated=true python
docker search --filter is-official=true --filter stars=10 --filter is-automated=false python
docker search --limit 4 python
docker search --no-trunc python
docker search --format "{{.Name}}: {{.Description}}" --no-trunc python
docker search --format "table {{.Name}}\t{{.IsAutomated}}\t{{.IsOfficial}}\t{{.Description}}\t{{.StarCount}}" python
docker search --format "table {{.Name}}\t{{.IsOfficial}}\t{{.Description}}\t{{.StarCount}}" --filter is-official=true --filter stars=10 --no-trunc python
docker search --help
docker image pull python
https://hub.docker.com/_/python
docker image pull python:3.12-rc-bookworm
docker image pull --help
*** 03_02 ***
docker image ls [OPTIONS] [REPOSITORY[:TAG]]
docker image ls --all
docker image ls --no-trunc
docker image ls --quiet
docker image ls --digests
docker image ls --filter reference=python*
docker image ls --filter before=python
docker image ls --filter since=python
docker image ls --filter dangling=true
docker image ls --filter label=python*
docker image ls --format "table {{.ID}}\t{{.Repository}}\t{{.Tag}}\t{{.Size}}\t{{.CreatedSince}}\t{{.CreatedAt}}\t{{.Digest}}"
docker image ls --help
https://docs.docker.com/engine/reference/commandline/image_ls/
*** 03_03 ***
docker build -t SOURCE_IMAGE[:TAG] .
docker build -t big-star-collectibles .
docker build --no-cache -t big-star-collectibles:v1 -t big-star-collectibles .
docker image ls
docker tag SOURCE_IMAGE[:TAG] TARGET_IMAGE[:TAG]
docker tag big-star-collectibles:v1 big-star-collectibles:v1-python
docker build --no-cache -t big-star-collectibles:v2 .
docker tag SOURCE_IMAGE_ID TARGET_IMAGE[:TAG]
LABEL <key>=<value> <key>=<value> <key>=<value> ...
docker image ls --filter label="com.example.vendor"="Big Star Collectibles"
*** 03_04 ***
https://hub.docker.com/
docker login
docker tag big-star-collectibles:v2 sbenhoff/big-star-collectibles-repo:big-star-collectibles
docker push sbenhoff/big-star-collectibles-repo:big-star-collectibles
docker pull sbenhoff/big-star-collectibles-repo:big-star-collectibles
*** 03_05 ***
docker image ls
docker image inspect IMAGE_ID
docker image inspect --format='{{json .Config.Labels}}' big-star-collectibles:v2
*** 03_06 ***
docker image ls
docker rmi [OPTIONS] IMAGE [IMAGE...]
docker rmi -f big-star-collectibles:v2
docker rmi -f IMAGE_ID
docker images --digests
docker rmi -f sbenhoff/big-star-collectibles@[DIGEST]
*** 04_01 ***
https://docs.docker.com/engine/reference/commandline/run/
docker start [OPTIONS] CONTAINER [CONTAINER...]
docker start big-star-collectibles:v2
docker run [OPTIONS] IMAGE[:TAG] [COMMAND] [ARG...]
docker run -it -d -p 5000:5000 -v ${PWD}:/app/code big-star-collectibles
http://localhost:5000
docker stop [OPTIONS] CONTAINER [CONTAINER...]
docker stop big-star-collectibles:v2
docker kill [OPTIONS] CONTAINER [CONTAINER...]
docker kill big-star-collectibles:v2
*** 04_02 ***
https://docs.docker.com/engine/reference/commandline/ps/
docker ps [OPTIONS]
docker ps
docker ps -a
docker ps -n 1
docker ps -q
docker ps -s
docker ps -l
docker ps --no-trunc
docker ps --filter label="com.example.vendor"="Big Star Collectibles"
docker ps -a --filter 'exited=0'
docker ps --filter ancestor=big-star-collectibles
docker ps --filter label="com.example.vendor"="Big Star Collectibles" --format json
docker ps --filter label="com.example.vendor"="Big Star Collectibles" --format "table {{.ID}}\t{{.Names}}"
* COMMON DOCKER CONTAINER EXIT CODES *
Exit Code 0 Purposely stopped
Exit Code 1 Application error
Exit Code 125 Container failed to run error
Exit Code 126 Command invoke error
Exit Code 127 File or directory not found
Exit Code 128 Invalid argument used on exit
Exit Code 134 Abnormal termination (SIGABRT)
Exit Code 137 Immediate termination (SIGKILL)
Exit Code 139 Segmentation fault (SIGSEGV)
Exit Code 143 Graceful termination (SIGTERM)
Exit Code 255 Exit Status Out Of Range
*** 04_03 ***
https://docs.docker.com/engine/reference/commandline/inspect/
docker inspect [OPTIONS] NAME|ID [NAME|ID...]
docker ps
docker inspect [ID]
docker inspect --format='{{.Config.Image}}' [NAME|ID]
docker inspect --format='{{.Id}}' [NAME|ID]
docker inspect --format='{{.LogPath}}' [NAME|ID]
docker inspect --format='{{json .Config}}' [NAME|ID]
*** 04_04 ***
https://docs.docker.com/engine/reference/commandline/logs/
docker logs [OPTIONS] CONTAINER
docker logs --tail 1000 -f [NAME|ID]
docker logs --tail 1000 -f --details [NAME|ID]
* UTC Format
docker logs --tail 1000 -f --since 2023-12-01T01:00:00Z [NAME|ID]
docker logs --tail 1000 -f --until 2023-12-01T01:00:00Z [NAME|ID]
* Relative Format
docker logs --tail 1000 -f --since 60 [NAME|ID]
docker logs --tail 1000 -f --until 60 [NAME|ID]
docker logs --tail 1000 -f --timestamps [NAME|ID]
*** 04_05 ***
docker volume create big-star-collectibles-vol
docker volume ls
docker volume inspect big-star-collectibles-vol
docker run -it -d -p 5000:5000 -v big-star-collectibles-vol:/app/data sbenhoff/big-star-collectibles-repo:big-star-collectibles
docker volume rm big-star-collectibles-vol
docker run -it -d -p 5000:5000 -v "$(PWD)/test"/target:/app/test sbenhoff/big-star-collectibles-repo:big-star-collectibles
docker run -it -d -p 5000:5000 --mount type=bind,source="$(PWD)/test",target=/app/test sbenhoff/big-star-collectibles-repo:big-star-collectibles
*** 04_06 ***
docker image prune
docker image prune -a -f
docker image prune -a -f --filter label="com.example.vendor"="Big Star Collectibles"
docker container prune
docker volume prune -f --filter label="com.example.vendor"="Big Star Collectibles"
docker system prune --volumes -f