Basically, I am running Docker on my Windows 10 machine. I have mounted a windows directory inside this container to access the files on my windows machine, on which a couple of tasks are to be performed.
Which file system runs inside a docker container?
Is it the same as that of the OS on which this container is based? For instance, if I run a container having ubuntu as base OS, will it be the one that the current version of ubuntu (inside this container is running)?
Or is it the one that is running on the docker daemon?
Also, I am running an application inside this container, which accesses files in my windows directory as well as creates a couple of files. Now, these files are being written to Windows, hence follow the file system of Windows(NTFS).
So, how does it work? (Different file system inside the docker container and the windows file system; both in conjunctuion?)
Which file system runs inside a docker container?
The one from the docker host (Windows NTFS or Ubuntu FS).
$ docker run -d -P --name web -v /src/webapp:/opt/webapp training/webapp python app.py
This command mounts the host directory, /src/webapp, into the container at /opt/webapp.
If the path /opt/webapp already exists inside the container’s image, the /src/webapp mount overlays but does not remove the pre-existing content.
Once the mount is removed, the content is accessible again.
Now, these files are being written to Windows, hence follow the file system of Windows(NTFS).
Yes, and that filesystem is case-sensitive (as illustrated in 18756).
Related
I am trying to run a command that needs to be limited to one directory and is executed in a shell function from a web application.
My goal is to run that program but limit it to one directory. This directory will change each time I want to run the program and multiple instances need to be able to run on different directories at the same time.
I have looked at chroot and it seems that a file system needs to be explicitly created each time. I am looking for a more temporary solution that accepts the desired root directory and dose not require me to copy files all over the place or do weird mounting of things.
What you most likely want is containers.
A container takes milliseconds to start, and creates what is basically a complete chroot jail every time it runs. A command like docker run --rm --volume /var/chroot/jail/whatever:/workdir ubuntu stat /workdir will run stat on the chroot jail directory, with all environment being the latest Ubuntu release. It will then scrap the chroot jail. Running it again will create a whole new jail.
You will need to build your web application as a docker image on top of whatever jail you need (Ubuntu, CentOS etc.), which means adjusting your build system to create such an image.
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 am using: https://github.com/MLstate/PEPS for mail by installing it on our ubuntu server. It uses Docker containers, I tried to figure out how to access application files like css/js in those containers, but have not been successful. Furthest I got was going to /var/lib/docker/containers/CONTAINERID but once I view contents of the containers they are all the same and css/js files are no where to be seen.
The easiest way to access those files is running an interactive shell in the container. To do that you can run docker run -i -t <CONTAINER_ID> /bin/bash.
Regarding the files, docker images and containers are composed by layers and volumes. The files you are looking for will be located probably in /var/lib/docker/aufs/layers (depending of your layer filesystem), but you can omit accessing to the files directly and get them in a interactive session.
I am using docker-machine which I use to manage VM running boot2docker with virtualbox as driver. I need to mount directory to this VM. I was able to do that by adding the folder to shared folders list in settings of VM in Virtualbox Manager. Then using sudo mount -t vboxsf -o uid=1000,gid=50 <name of folder in VM settings> <folder name>. It worked & I added the command to create directory & mount without using relative address to etc/rc.local . The changes I made to VM don't persist when I restart the VM. What do I do?
I am working on Ubuntu 14.04.
The persistent directories are documented here: https://github.com/boot2docker/boot2docker/blob/master/doc/FAQ.md#local-customisation-with-persistent-partition
So you can add your mount command to bootlocal.sh under /var/lib/boot2docker/ directory.
Create a folder. Inside, create a Dockerfile. The first line should be FROM plus the name of the image which you currently use.
Then you can add the commands to modify the base image. In your case, put a copy of rc.local in the same folder as the Dockerfile
Now you can copy it into your new image with:
ADD rc.local /etc
You can then build your new image with docker build -t user1932582/myapp .
That creates a new image which you can run with docker run user1932582/myapp
Related:
http://docs.docker.com/reference/builder/