Changing docker image download location on "play-with-docker" - docker

I am trying create a container for Jupyter datascience notebook on "Play-with-docker" using following links:
https://labs.play-with-docker.com/
https://hub.docker.com/r/jupyter/datascience-notebook/
docker run -it -p 8888:8888 jupyter/datascience-notebook
"Play with docker" has its own limitation as its a free source to play around and test docker in a browser.
By default it downloads an image at "/var/lib/docker" and there's only 4.7 GB of space available in /var/ location. With this as default, I am unable to download the image as it throws error of disk quota exceeded
Although "/etc" seems to have 64GB.
Tried changing the graph directory but unable to do so as this platform doesn't allow to restart the docker service or daemon.
Is there any way we can change download location on "Play-with-docker" so it allows downloading bigger images?

Related

Run docker container on specific drive

I have docker desktop on C drive also as WSL. I started ubuntu terminal on F drive in specific folder by making it starting location. After executing docker run -d -p 80:80 docker/getting-started it says me ```unable to find image <image_name> and starts container.
After that when container is created I can see it in docker.
It also creates image but the problem is I can't find it and where image and container are stored.
How can I find files of docker and so on and create, run container with its image on F drive in wsl folder (in this example)?
well i can't understand your problem well, but here an answer for your question
It also creates image but the problem is I can't find it and where image and container are stored.
to find images downloaded locally
run
docker images
to find the metadata which include path of stored image
docker inspect <image_name>

Run Docker container from removable media

I want to put a Docker image onto a USB HD and then be able to plug that into any [Linux] machine that has Docker and run the image. How would I go about doing that?
So far, I've discovered that you can "export" a Docker image into a flat file, but it appears you can't do anything with it until you "import" it again. That's no good. My ultimate goal is to run this stuff from a boot CD, which obviously won't have any writable storage to "import" the data into.
So remember that Docker is a service running on your [Linux] machine.
What you can do is are the following options:
Build and run the Dockerfile located on your USB Drive
docker build -t my_image --file /path/to/Dockerfile/on/usb/drive . && docker container run -d my_image
Create a docker-compose file and run the docker-compose from the Dockerfile on your USB Drive
docker-compose up -d --build -f /path/to/Dockerfile/on/usb/drive
In the end, the container will always run on the host machine, but you can take that USB drive to any machine and run the Dockerfile anywhere
OK, so it appears there's two main locations that the Docker daemon uses:
/var/lib/docker holds all the Docker images.
/var/run/docker holds... actually I'm not sure.
The solution I came up with is this:
Delete (!!) the /var/lib/docker folder.
Create a symlink named /var/lib/docker which points to where you actually want the data stored.
Then (and only then) start the Docker daemon.
This seems to result in Docker storing its data where you tell it to. In particular, if you symlink to a folder on an external USB device, Docker will store its state there. You can then repeat this procedure on another machine (maybe one without Internet access) and access the image(s).
Mind you, this stores the entire state of the Docker daemon, not just one image. But I haven't yet found a way around that.
You also wouldn't want to do this to a "real" computer; I want this for a boot CD, where next time you reboot, all the changes to the filesystem will just disappear again.
Another possibility: It's possible to run two Docker daemons on the same host, and to pass images between them. So you could start one daemon running on USB storage, load the necessary image(s) into it, and then on another machine start Docker running on the same USB device.
To run an alternative Docker daemon, you need the following incantations:
containerd \
--state-dir /mnt/Docker/containerd \
--listen unix:///mnt/Docker/containerd.sock
dockerd \
--pidfile /mnt/Docker/dockerd.pid \
--data-root /mnt/Docker/Data \
--exec-root /mnt/Docker/Exec \
--containerd /mnt/Docker/containerd.sock \
--host unix:///mnt/Docker/dockerd.sock
For this to work, the directory /mnt/Docker needs to already exist. The other files, sockets and directories appear to get created automatically.
Both containerd and dockerd accept a --debug option that makes them output a lot more info to the console. Both of these are daemons, so the commands above never return.
Once the new dockerd is running, you can talk to it as normal if you manually specify the socket:
docker --host unix:///mnt/Docker/dockerd.sock info
You might want to define that as a shell alias to save some typing.
You can copy an image from the "normal" Docker daemon to the new one you just created like so:
docker save ubuntu:latest | docker --host unix:///mnt/Docker/dockerd.sock load

Docker : How to avoid Operation not permitted in Docker Container?

I created one docker image of sles12 machine by taking backing of all file system which are necessary and created one tar file. For creating docker image I run following command -
cat fullbackup.tar | docker import - sles_image
After that I run docker image in container using below command -
docker run --net network1 -i -t sles_image /bin/bash
note - I already set up networking in this docker container (IP address which I want).
Now In my docker container, some applications are already configured because that applications are available in sles12 machine from which I created this docker image. These custom applications are internally running some kernel low level commands like modprobe.
But when I starts my application, application will start correctly. I'm facing this error -
Operation not permitted
How I can give correct permissions so that it will not give me this error?
You might try set the Docker container with Runtime privilege and Linux capabilities, with the
docker run --privileged
If you are on mac resolve the issue by giving files and folder permissions to docker or the other workaround is to manually copying the files to docker instead of mounting them.

How to download Docker images without a direct internet connection

I see we can install tensorflow (with GPU) using Docker - here TensorFlow - which Docker image to use?
But how do I do this on a machine that has no external internet connection?
Is there a way to first download the tensor flow image
b.gcr.io/tensorflow/tensorflow:latest-gpu: TensorFlow GPU binary image
and then copy it to local file space and "install" it from there?
You can pull the image on a computer that have access to the internet.
sudo docker pull b.gcr.io/tensorflow/tensorflow:latest-gpu
Then you can save this image to a file
sudo docker save -o tensorflow_image.docker b.gcr.io/tensorflow/tensorflow:latest-gpu
Transfer the file on the offline computer (USB/CD/whatever) and load the image from the file:
sudo docker load < tensorflow_image.docker
Courtesy: https://serverfault.com/questions/701248/downloading-docker-image-for-transfer-to-non-internet-connected-machine

In Docker, what's the difference between a container and an image? [duplicate]

This question already has answers here:
What is the difference between a Docker image and a container?
(31 answers)
Closed 3 years ago.
What's the difference between a container and an image in Docker? In the Get started with Docker tutorial these terms are both used, but I do not understand the difference.
Can anybody please shed some light?
Images are frozen immutable snapshots of live containers. Containers are running (or stopped) instances of some image.
Start with the base image called 'ubuntu'. Let's run bash interactively within the ubuntu image and create a file. We'll use the -i and -t flags to give us an interactive bash shell.
$ docker run -i -t ubuntu /bin/bash
root#48cff2e9be75:/# ls
bin boot dev etc home lib lib64 media mnt opt proc root run sbin srv sys tmp usr var
root#48cff2e9be75:/# cat > foo
This is a really important file!!!!
root#48cff2e9be75:/# exit
Don't expect that file to stick around when you exit and restart the image. You're restarting from exactly the same defined state as you started in before, not where you left off.
$ docker run -i -t ubuntu /bin/bash
root#abf181be4379:/# ls
bin boot dev etc home lib lib64 media mnt opt proc root run sbin srv sys tmp usr var
root#abf181be4379:/# exit
But, the container, now no longer running, has state and can be saved (committed) to an image.
$ docker ps -a
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
abf181be4379 ubuntu:14.04 /bin/bash 17 seconds ago Exited (0) 12 seconds ago elegant_ardinghelli
48cff2e9be75 ubuntu:14.04 /bin/bash About a minute ago Exited (0) 50 seconds ago determined_pare
...
Let's create an image from container ID 48cff2e9be75 where we created our file:
$ docker commit 48cff2e9be75 ubuntu-foo
d0e4ae9a911d0243e95556e229c8e0873b623eeed4c7816268db090dfdd149c2
Now, we have a new image with our really important file:
$ docker run ubuntu-foo /bin/cat foo
This is a really important file!!!!
Try the command docker images. You should see your new image ubuntu-foo listed along with the ubuntu standard image we started with.
An image is an ordered collection of root filesystem changes and the corresponding execution parameters for use within a container runtime. Images are read-only.
https://docs.docker.com/glossary/?term=image
A container is an active (or inactive if exited) stateful instantiation of an image.
https://docs.docker.com/glossary/?term=container
Using an object-oriented programming analogy, the difference between a Docker image and a Docker container is the same as that of the difference between a class and an object. An object is the runtime instance of a class. Similarly, a container is the runtime instance of an image.
An object gets created only once when it is instantiated. Similarly, a container can be running or stopped. Containers are created out of an image, though this might not always be the case. The following example creates an Apache server image, runs the image, lists the images and then lists the containers:
Create a Dockerfile with the following contents:
FROM httpd:2.4
Install Apache server
sudo docker build -t my-apache2 .
Run the image
sudo docker run -it --rm --name my-running-app my-apache2
List Docker images
sudo docker images
List the running Docker containers
docker ps
List all containers
docker ps -a
List latest created containers
docker ps -l
An image is basically an immutable template for creating a container. It's easier to understand the difference between an image and container by considering what happens to an image to turn it into a container.
The Docker engine takes the image and adds a read-write filesystem on top, then initialises various settings. These settings include network options (IP, port, etc.), name, ID, and any resource limits (CPU, memory). If the Docker engine has been asked to run the container it will also initialise a process inside it. A container can be stopped and restarted, in which case it will retain all settings and filesystem changes (but will lose anything in memory and all processes will be restarted). For this reason a stopped or exited container is not the same as an image.
DockerFile --(Build)--> DockerImage --(run)--> DockerContainer
DockerFile is what you or developer write code to do something (ex- Install)
Docker Image is you get when you build docker file .
Docker Container is you get when you run your Docker image
We can get Docker Image from docker hub by pulling and then run it to get container .
Images [like vm]
Read only template used to create containers
Buuilt by you or other Docker users
Stored in the Docker Hub or your local Registry
Containers [like a runing machine]
Isolated application platform
Contains everything needed to run your application
Based on images
In Docker, it all begins with an image. An image is every file that makes up just enough of the operating system to do what you need to do. Traditionally you'd install a whole operating system with everything for each application you do. With Docker you pair it way down so that you have a little container with just enough of the operating system to do what you need to do, and you can have lots and lots of these efficiently on a computer.
Use docker images to see the installed images and docker ps to see the running images.
When you type docker run it takes the image, and makes it a living container with a running process. I tend to use:
docker run -ti <image>:<tag> bash
Lastly, images have their own set of ids and containers have their own set of ids - they don't overlap.
Containers are based on images. An image needs to be passed to the Dockers run command.
Example:
BusyBox image
http://i.stack.imgur.com/eK9dC.png
Here we specify an image called busybox. Docker does not have this image locally and pulls it from a public registry.
A registry is a catalog of Docker images that the Docker client can communicate with and download image from. Once the image is pulled, Docker starts a container and execute the echo hello world command.
Images: The filesystem and metadata needed to run containers. They can be thought of as an application packaging format that includes all of the dependencies to run the application, and default settings to execute that application. The metadata includes defaults for the command to run, environment variables, labels, and healthcheck command.
Containers: An instance of an isolated application. A container needs the image to define its initial state and uses the read-only filesystem from the image along with a container specific read-write filesystem. A running container is a wrapper around a running process, giving that process namespaces for things like filesystem, network, and PIDs.
When you execute a docker run command, you provide an image on the command line, along with any configurations, and docker returns a container based off of that image definition and configurations you provided.
References: to the docker engine, an image is just an image id. This is a unique immutable hash. A change to an image results in creating a new image id. However, you can have one or more references pointing to an image id, not unlike symbolic links. And these references can be updated to point to new image id's. Note that when you create a container, docker will resolve that reference at the time of container creation, so you cannot update the image of a running container. Instead, you create a new image, and create a new container based on that new image.
Layers: Digging a bit deeper, you have filesystem layers. Docker assembles images with a layered filesystem. Each layer is a read-only set of changes to the filesystem, and that layer is represented by a unique hash. Using these read-only layers, multiple images may extend another, and only the differences between those images need to be stored or transmitted over the network. When a Docker container is run, it receives a container specific read-write filesystem layer unique to that container, and all of the image layers are assembled with that using a union filesystem. A read is processed through each layer until the file is found, a deletion is found, or the file is not found in the bottom layer. A write performs a copy-on-write from the image read-only layer to the container specific read-write layer. And a deletion is recorded as a change to the container specific read-write layer. A common step in building images is to run a command in a temporary container based off the previous image filesystem state and save the resulting container specific layer as a layer in the new image.
Docker Images:
It contains a list of commands and instruction on how to build and run a container. So basically Images contains all the data and metadata required to fire up a container(also called blueprint).We can't lunch a container without specifying Images.
$docker images centos
List all the available version of centos.
Docker Container:
Containers are lunch from Images so we can say container is the running instance of an Images.
Container is a runtime construct, unlike Images which is build time construct.
The official difference is that the container is the last layer which is writable whereas the layers below are only readable and they belong to your image. The intuitive difference is that the docker instance is the instance virtualized by your docker daemon and the running your image, it operates within an isolated section of your kernel (this process is hidden from you). The image however is static, it doesn't run, it is just a pile of layers (static files). If we would relate this paradigm to object-oriented programming, the image is your class definition, whereas your docker instance is your class spawned object that resides in memory.
I have written a tutorial to reinforce your docker knowledge intuition:
http://javagoogleappspot.blogspot.com/2018/07/docker-basics.html
Image is the photo made from your phone.
Container is the phone.

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