3.12

RStudio image

Enterprise Applicable to Enterprise Edition
Community Applicable to Community Edition

We could use repo2docker to build a Jupyter Notebook with RStudio: https://github.com/binder-examples/r

  1. Ensure repo2docker installed
  2. Clone the source code and add sudo to apt.txt
  3. Build image with arguments --user-name jovyan --user-id 1000
  4. Add image to PrimeHub and start in Safe Mode

Check repo2docker

Execute jupyter-repo2docker command to see if any output from the command

jupyter-repo2docker --help | head -10

usage: jupyter-repo2docker [-h] [--config CONFIG] [--json-logs]
                           [--image-name IMAGE_NAME] [--ref REF] [--debug]
                           [--no-build]
                           [--build-memory-limit BUILD_MEMORY_LIMIT]
                           [--no-run] [--publish PORTS] [--publish-all]
                           [--no-clean] [--push] [--volume VOLUMES]
                           [--user-id USER_ID] [--user-name USER_NAME]
                           [--env ENVIRONMENT] [--editable]
                           [--target-repo-dir TARGET_REPO_DIR]
                           [--appendix APPENDIX] [--subdir SUBDIR] [--version]

If command command not found: jupyter-repo2docker shows, please install python3-pip and jupyter-repo2docker packages.

sudo apt install python3-pip
pip3 install jupyter-repo2docker

If bash: jupyter-repo2docker: command not found shows, please export ${HOME}/.local/bin file to PATH.

export PATH=${HOME}/.local/bin:${PATH}

Use repo2docker to build R-studio docker image.

Git clone the source code

git clone https://github.com/binder-examples/r.git && cd r

In the source directory, create apt.txt and add sudo in a line

echo "sudo" > apt.txt

Check the current file status.

$ git status
On branch master
Your branch is up to date with 'origin/master'.

Untracked files:
  (use "git add <file>..." to include in what will be committed)

    apt.txt

nothing added to commit but untracked files present (use "git add" to track)

Verify

$ cat apt.txt
sudo

Build a image with the tag infuseai/r in the source directory (.)

jupyter-repo2docker --no-run --no-clean --user-name jovyan --user-id 1000 --push --image infuseai/r .

Then Check the docker image is successfully push to dockerhub.

Build R-studio in PrimeHub

Add Docker image into PrimeHub images function.

Start Notebook with the image in Safe Mode.

Initially, it enters a general Jupyter Notebook.

For the RStudio environment, we must add the following at the end of the URL: ?urlpath=rstudio according to the README.

Regarding accessing RStudio, in browser the current URL looks like

https://example.primehub.io/user/<username>/lab

Replace the suffix lab with rstudio to be like URL below and navigate.

https://example.primehub.io/user/<username>/rstudio

Here RStudio is

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