In MarkEdmondson1234/googleCloudRunner: R Scripts in the Google Cloud via Cloud Run, Cloud Build and Cloud Scheduler

Since Docker containers can hold any language within them, they offer a universal UI to combine languages. This offers opportunities to extend other languages with R features, and give other languages access to R code without needing to know R.

An example below uses:

• gcloud - Google's Cloud command line tool to access Google's key management store and download an authentication file, and pushes to BigQuery
• gago - A Go package for fast downloads of Google Analytics data
• R - R code to create an Rmd file that will hold interactive forecasts of the Google Analytics data via cr_buildstep_r()
• nginx - serve up the Rmd files rendered into HTML and hosted on Cloud Run via cr_deploy_html()

And will perform downloading unsampled data from Google Analytics, creating a statistical report of the data and then uploading the raw data to BigQuery for further analysis.

An example of the demo output is on this Cloud Run instance URL: https://polygot-demo-ewjogewawq-ew.a.run.app/polygot.html

It also uploads the data to a BigQuery table:

This constructed cloud build can also be used outside of R, by writing out the Cloud Build file via cr_build_write()

# write out to cloudbuild.yaml for other languages
cr_build_write(polygot)
# 2019-12-28 19:15:50> Writing to cloudbuild.yaml

This can then be scheduled as described in Cloud Scheduler section on scheduled cloud builds.

schedule_me <- cr_schedule_http(built)
cr_schedule("polygot-example", "15 8 * * *", httpTarget = schedule_me)

An example of the cloudbuild.yaml is on GitHub here.

MarkEdmondson1234/googleCloudRunner documentation built on Feb. 5, 2023, 5:45 p.m.