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@versatiles/google-cloud

v0.2.6

Published

A server for VersaTiles in Google Cloud Run

Downloads

32

Readme

Code Coverage GitHub Workflow Status)

VersaTiles Server for Google Cloud Run

This tool solves perfectly the use cases, when you want to publish multiple map application using multiple versatiles tile sources in Google Cloud. E.g. for data journalists, academia, ...

[!WARNING] It is strongly recommended:

  • always use a CDN in front of this server and
  • not to modify/overwrite existing files in the bucket, as this could result in corrupted data being delivered!

Outline:

  1. Store static files (*.html, *.js, *.css, …) and map tiles (*.versatiles) in a Google Storage Bucket.
  2. Run this Node.js server in Google Cloud Run using Bucket name/path as argument
  3. Put a Loadbalancer (with DNS and CDN) in front of the Google Cloud Run service.
  • Now you can serve the files in the Bucket publicly.
  • This server will make sure that every file will be compressed optimally according to "accept-encoding" header of the browser.
  • *.versatiles files will not be served. Instead the server will provide a simple GET API to access every tile, and serve them with optimal compression. E.g. tile x=4, y=5, z=6 in file gs://bucket/map/earth.versatiles could be accessed via https://public.domain.com/map/earth.versatiles?tiles/6/4/5

Run in Google Cloud Run

Run the following Docker Container in Google Cloud Run, e.g. by using Google Cloud Build.

FROM node:20-alpine
RUN npm install -g @versatiles/google-cloud
EXPOSE 8080
CMD npx versatiles-google-cloud -b "$BASE_URL" "$BUCKET_NAME"

Test locally

Install @versatiles/google-cloud globally and run:

npm install -g @versatiles/google-cloud
versatiles-google-cloud -f -l local/data/

Or clone and run the repo:

git clone https://github.com/versatiles-org/node-versatiles-google-cloud.git
cd node-versatiles-google-cloud
npm install
npm start -f -l local/data/

The arguments used:

  • -f or --fast-recompression disables recompression, so it's faster if you're developing locally.
  • -l or --local-directory uses a local directory instead of a Google Bucket.

Note that for security and performance reasons no file listing is implemented. If you have a file such as local/data/app/index.html you will need to open the correct URL in your browser to view the file: http://localhost:8080/app/index.html

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