This demo was based on Golang OpenGL tutorial by kylewbanks.com.
modular-spatial-index is a simple spatial index adapter for key/value databases like leveldb and Cassandra (or RDBMS like SQLite/Postgres if you want), based on https://github.com/google/hilbert.
It's called "modular" because it doesn't have any indexing logic inside, you bring your own index. It simply defines a mapping from two-dimensional space ([x,y] as integers) to 1-dimensional space (a single string of bytes for a point, or a handful of byte-ranges for a rectangle). You can use these strings of bytes (keys) and byte-ranges (query parameters) in any database to implement a spatial index.
Read amplification for range queries is ~2x-3x in terms of IOPS and bandwidth compared to a 1-dimensional query.
But that constant factor on top of your fast key/value database is a low price to pay for a whole new dimension, right? It's certainly better than the naive approach.
See https://sequentialread.com/building-a-spatial-index-supporting-range-query-using-space-filling-hilbert-curve for more information.
MIT license