I downloaded basic Ubuntu docker image and ran it as a container and setup several stuff in it.
Now want to save that as one big file and transfer over to another computer and load it in docker as image and run it as container.
What are the steps to achieve this?
thanks!
use docker export continerid > file.tar to save container and then docker import tarfile newimage And docker run newimage On the target system.
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Container 1 : I have a docker container which is spawned by a Dockerfile image that i built serving Python dependencies to a specific use-case. This container is mount to my file system project directory to /source directory in the Docker container.
Container 2 : Another container contains Jupyter notebook and it is only configured to use Jupyter notebook.
I don't use Jupyter notebook all the time for Python developement, i use my code editor instead. I just want an easier way to mount Jupyter notebook when i want to and edit my project files.
Now, can i mount Container-2 to Container-1 such that contents in the /source directory in Container-1 is persisted to my project directory while enabling Container-1 and Conatiner-2 to take up a shared space? In my case i want Container-1 to be mount to my file system to /source and I want the Jupyter Notebook, running in Container-2 to be able to edit files inside the /source directory in Container-1.
if I'm understanding correctly, what you are trying to do is using one container installed libs in another container
I think that this approach is bad, since there might be some problems with OS level dependencies that are missing. The first possible solution is installing the dependencies in both containers, or at least using the 1st docker image as base to the 2nd
If you yet rather doing it your way, you can try mounting volume between the 1st container virtual env / site-packages with the 2nd
I am new to docker.
I ran a node-10 images and inside the running container I cloned a repository, ran the app which started a server with file watcher. I need to access the codebase inside the container, open it up in an IDE running on the windows host. If that is done, then I also want that as I change the files in the IDE these changes induce the filewatcher in the container.
Any help is appreciated. Thanks,
The concept you are looking for is called volumes. You need to start a container and mount a host directory inside it. For the container, it will be a regular folder, and it will create files in it. For you, it will also be a regular folder. Changes made by either side will be visible to another.
docker run -v /a/local/dir:/a/dir/in/your/container
Note though that you can run into permission issues that you will need to figure out separately.
It depends on what you want to do with the files.
There is the docker cp command that you can use to copy files to/from a container.
However, it sounds to me like you are using docker for development, so you should mount a volume instead, that is, you mount a directory on the host as a volume in docker, so anything written to that directory will show up in the container, and vice versa.
For instance if you have the code base that you develop against in C:\src on your windows machine, then you run docker like docker run -v c:\src:/app where /app is the location that node is looking in. However, for Windows there are a few things to consider since Docker is not native in Windows, so have a look at the documentation first.
Hi I think you should use mount volumes for the source code and edit your code from your IDE normally:
docker run -it -v "$PWD":/app -w /app -u node node:10 yarn dev
here docker will create an image setting the working dir to "/app", mount the current dir to "/app" and run "yarn dev" at start up with the "node" user (none root user)
Hope this is helpfull.
I have created one simple docker image of python code and it's working fine.
But I can able to copy the content of the file from docker to local machine is there any way to stop this and also how to secure docker image.
So to protect the Docker image created for the Python Project I converted .py file to .pyd for windows and .so file for linux. Which makes it difficult to reverse engineering on the source code. User can export the project files but can not see the actual code.
I have a docker image that I am trying to use to cross-compile an application for Windows. However, whenever I enter the docker image, it does not show my filesystem, so I cannot reach my source code.
How do I build with a docker image? Or am I missing something?
If I understand right, the image contains your development environment, and you only need a way for the container to see your code on the host machine at runtime. The answer is in the question then.
Just start your container with the source directory mounted:
docker run --rm -it -v%my_src_dir%:/workspace centos:6.6 /bin/sh
Then inside the container, you cd /workspace to continue development.
I want to install Nexus 3 in a Docker container on CentOS. But my CentOS server with Docker installed on it has no access to the internet. I want to use this command:
Docker pull sonatype/nexus3
Is there a standalone, offline file or group of files to give me what I need?
I have only Windows machines with no Docker installed that can access the internet.
You could try and setup your own Docker registry server on your windows machine and then have your centos server talk to that server to get the files that it needs. This seems like overkill though.
Here is the link to set that up: https://docs.docker.com/registry/deploying/
You could also use something like virtualbox and create a centos server and then setup docker in there on the windows machine. This would allow you to have centos + docker + internet.
Yes, you can save the image to a file and then load it on the server:
Download the image to your workstation with docker pull sonatype/nexus3
Save the image to a tar file with docker save sonatype/nexus3 > nexus3.tar - Docs Save Docs
Transfer the image to the server via USB/LAN/etc
Import the image on the CentOS server with docker load --input nexus3.tar - Docker Load Docs
Docker Save
Produces a tarred repository to the standard output stream. Contains all parent layers, and all tags + versions, or specified repo:tag, for each argument provided.
Docker Load
Loads a tarred repository from a file or the standard input stream. Restores both images and tags.
You will now have the image loaded on your machine. There are probably other ways, but this is the simplest I can think of and involves no 3rd party tools. You can also gzip the file, per the documentation.