Dockerized Business Analytics

This repo contains information to setup a docker image with R, Rstudio, Shiny, Radiant, Python, Postgres, JupyterLab, and Code-Server (aka VS Code)

Install Docker

To use the docker images you first need to install Docker

For Mac: https://docs.docker.com/docker-for-mac/
For Windows: https://docs.docker.com/docker-for-windows/
For Linux: https://docs.docker.com/engine/installation/

After installing Docker, check that it is running by typing docker --version in a terminal. This should return something like the below:

docker --version
Docker version 18.09.2, build 6247962

On windows please install Git Bash:

http://www.techoism.com/how-to-install-git-bash-on-windows/

For detailed install instructions on Windows see install/rsm-msba-windows.md

For detailed install instructions on macOS see install/rsm-msba-macos.md

r-bionic

You probably don't want to run this image by itself. It is used in the radiant, rsm-msba-spark, and rsm-jupyterhub, application (see below). To build a new container based on r-bionic add the following at the top of your Dockerfile

FROM vnijs:docker-bionic

To build r-bionic yourself use:

docker build -t $USER/r-bionic ./r-bionic

To push to docker hub use:

sudo docker login 
docker push $USER/r-bionic

radiant

The second image builds on r-bionic and adds radiant and required R-packages. To build a new container based on radiant add the following at the top of your Dockerfile

FROM vnijs:radiant

To allow execution of R-code in Report > Rmd and Report > R in Radiant add the following to .Rprofile in your home directory

options(radiant.ace_vim.keys = FALSE)
options(radiant.maxRequestSize = -1)
# options(radiant.maxRequestSize = 10 * 1024^2)
options(radiant.report = TRUE)
# options(radiant.shinyFiles = TRUE)
# options(radiant.ace_theme = "cobalt")
options(radiant.ace_theme = "tomorrow")
# options(radiant.ace_showInvisibles = TRUE)

rsm-msba-spark

The third image builds on the radiant image and adds python, jupyter lab, and spark. To build a new container based on rsm-msba-spark add the following at the top of your Dockerfile

FROM vnijs:rsm-msba-spark

rsm-jupyterlab

This image builds on rsm-msba-spark and is set up to be accessible from a server running jupyter hub.

Trouble shooting

To stop (all) running containers use:

docker kill $(docker ps -q)

If the build fails for some reason you can access the container through the bash shell using to investigate what went wrong:

docker run -t -i $USER/rsm-msba-spark /bin/bash

To remove an existing image use:

docker rmi --force $USER/rsm-msba-spark

To remove stop all running containers, remove unused images, and errand docker processes use the dclean.sh script

./dclean.sh

General docker related commands

Check the disk space used by docker images

docker ps -s

docker system df

Trademarks

Shiny and Shiny Server are registered trademarks of RStudio, Inc. The use of the trademarked terms Shiny and Shiny Server and the distribution of the Shiny Server through the images hosted on hub.docker.com has been granted by explicit permission of RStudio. Please review RStudio's trademark use policy and address inquiries about further distribution or other questions to permissions@rstudio.com.

Acknowledgements

Thanks to Ajar Vashisth for helping me get started with Docker and Docker Compose

vikjam/docker