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This creates a dedicated Docker container that has all the libraries, files and scripts necessary to run your Shiny app. This example uses a local Dockerfile
to install the libraries you need, but in addition also copies your Shiny app scripts so its all self-contained and portable.
The Shiny app can then be deployed on new instances.
In summary:
docker_build()
to create and push your Shiny image to Google container registryOnce built, you can deploy straight from the Container Registry, so not necessarily needing steps 1 and 2.
You can use build triggers from Google Container Registry to build the docker image.
This is typically done by pushing up to a GitHub repository with your Dockerfile, which triggers a build. You can then construct the name of this docker image directly using gce_tag_container
, for use in a Shiny templated gce_vm
call.
The Dockerfile
includes a COPY
command to copy necessary Shiny files such as ui.R
and server.R
into the Docker image.
The Shiny app example below is the googleAuthR
demo app, and the build directory can be found via: get_dockerfolder("shiny-googleAuthRdemo")
FROM rocker/shiny
MAINTAINER Mark Edmondson (r@sunholo.com)
# install R package dependencies
RUN apt-get update && apt-get install -y \
libssl-dev \
## clean up
&& apt-get clean \
&& rm -rf /var/lib/apt/lists/ \
&& rm -rf /tmp/downloaded_packages/ /tmp/*.rds
## Install packages from CRAN
RUN install2.r --error \
-r 'http://cran.rstudio.com' \
googleAuthR \
&& Rscript -e "devtools::install_github(c('MarkEdmondson1234/googleID')" \
## clean up
&& rm -rf /tmp/downloaded_packages/ /tmp/*.rds
## assume shiny app is in build folder /shiny
COPY ./shiny/ /srv/shiny-server/myapp/
The COPY
command copies from a folder in the same location as the Dockerfile
, and then places it within the /srv/shiny-server/
folder which is the default location for Shiny apps. This location means that the Shiny app will be avialable at xxx.xxx.xxx.xxx/myapp/
The example Dockerfile above installs googleAuthR
from CRAN, googleID
from GitHub and a Debian dependency for googleAuthR
that is needed, libssl-dev
via apt-get
. Modify this for your own needs.
The FROM
field could be a previously made image you or someone else has already created, allowing you to layer on top. The above example is available via a public Google Continer Registry window, made for this purpose, which you can see here: https://console.cloud.google.com/gcr/images/gcer-public?project=gcer-public
The shiny-googleauthrdemo
is the Dockerfile above - the name for this can be created via the gce_tag_container()
function:
library(googleComputeEngineR)
gce_tag_container("shiny-googleauthrdemo", project = "gcer-public")
This can then be added to your Dockerfile:
FROM gcr.io/gcer-public/shiny-googleauthrdemo
MAINTAINER Mark Edmondson (r@sunholo.com)
# install R package dependencies
RUN apt-get update && apt-get install -y \
##### ADD YOUR DEPENDENCIES
## clean up
&& apt-get clean \
&& rm -rf /var/lib/apt/lists/ \
&& rm -rf /tmp/downloaded_packages/ /tmp/*.rds
## Install packages from CRAN
RUN install2.r --error \
-r 'http://cran.rstudio.com' \
##### ADD YOUR CRAN PACKAGES
##### && Rscript -e "devtools::install_github( ## ADD YOUR GITHUB PACKAGES )" \
## clean up
&& rm -rf /tmp/downloaded_packages/ /tmp/*.rds
## copy your shiny app folder below
COPY ./shiny/ /srv/shiny-server/myapp/
Hopefully more images can be added in the future, along with community contributions. They are rebuilt every commit to the googleComputeEngineR
GitHub repo.
Once you have the Dockerfile, place it into a folder with this structure alongside your Shiny app:
|
|- /appname/
|
|- ui.R
|- server.R
| Dockerfile
The file structure for this build is then:
list.files(get_dockerfolder("shiny-googleAuthRdemo"), recursive = TRUE)
# "Dockerfile" "shiny/DESCRIPTION" "shiny/readme.md" "shiny/server.R" "shiny/ui.R"
You have a few options here:
docker_build
Building images may take 10mins or so, especially if its the first layer of the image.
Start up a Shiny templated image, which makes sure the right ports are open etc. but also supply the dynamic_image
argument pointing at the Docker image you have built in previous step.
## make new Shiny template VM for your self-contained Shiny app
vm <- gce_vm("myapp",
template = "shiny",
predefined_type = "n1-standard-2",
dynamic_image = gce_tag_container("custom-shiny-app", "your-project"))
Now you have a built app, you can deploy it to other instances simply by specifying the build shiny image. If using the recommended Build trigger method, you can specify development or production folders in your GitHub repository. You will need to restart a Shiny VM to load the latest build.
Clean up the VMs to avoid unnecessary costs:
# delete build VM
gce_vm_delete(vm)
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.