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googleCloudRunner

As easy as possible R scripts in the cloud, via Cloud Run, Cloud Build and Cloud Scheduler. Continuous Development and Integration tools on Google Cloud Platform.

Not an official Google product.

Ambition

Select an R file, and have it scheduled in the cloud with a couple of clicks.

Deploy your plumber API code automatically on Cloud Run to scale from 0 (no cost) to millions (auto-scaling)

Integrate R inputs and outputs with other languages in a serverless cloud environment.

Have R code react to events such as GitHub pushes, pub/sub messages and Cloud Storage file events.

Install

Get the CRAN stable version via

install.packages("googleCloudRunner")

Or the development version via:

remotes::install_github("MarkEdmondson1234/googleCloudRunner")

The dev version of the website is here which may include documentation of features not yet on CRAN.

Usage

Browse the googleCloudRunner website for topics on how to use:

• Setup
• R APIs using Cloud Run
• Serverless R scripts using Cloud Build
• Scheduled R in GCP using Cloud Scheduler
• Use Cases
• Function Reference

Diagrams

Some overviews of the function dependencies are below:

Scheduling using Cloud Scheduler

Building using Cloud Build

Helper deployment functions calling lower-level functions

Cloud Run functionality

library(targets) integration functions

Sponsor

Resources

Read the blog introducing the googleCloudRunner package that goes into some background.

A talk at R’s 20th anniversary was performed at celebRation in Copenhagen on 29th Feb, 2020. The slides from the talk are here and a video of it is here:

A googleCloudRunner YouTube playlist of the demos is here.

If you blog anything interesting about the package let me know and I will list it here.

• Ander has a guide on using googleCloudRunner to schedule an R script on GCP [Spanish]
• Ander also writes how to use googleCloudRunner to productionise your R plumber API [Spanish]
• Arben documents his experience on how he got started scheduling BigQuery uploads using Docker and R
• Michał Ludwicki was a huge help in mentoring Arben for the post above - he also has created a GitHub repo of some useful example files for googleCloudRunner scripts
• Sam Terfa has a guide on how to use googleCloudRunner to create an R API you can use GoogleSheets to create its front end
• Louis shows how to create and deploy your own Python optimisation API using googleCloudRunner

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.