h3 VS pg-mem

It looks like the base Kontur dataset uses H3 resolution 8, and there’s a lookup table here. “400m” seems to refer to the edge length (which averages to 461m).

I can speak to quadtrees, but the primary reason for using this is that you need a geographic "dictionary" (not using the word map to avoid confusion with charts), and you're perhaps already using the H3 hexagonal grid system.

HexSet: is a way of storing a set of H3 cells in a tree, and doing fast (2-20 ns on my 2013 trashcan Mac Pro) membership tests. You must first convert the input data (e.g. GeoJSoN polygon) into H3 cells.

> What an amazing tool that can completely change function names when it converts from C to Go.

How can one read the code of the benchmark, then switch into virulent sarcasm mode without trying to understand the code? And seeing "+1" comments without any effort to understand is also disheartening.

The blog post had a link about the Go helper functions the author used. It lands on https://github.com/akhenakh/goh3/blob/main/h3.go This shows that the `FromGeo()` function used by the Go benchmark is a helper that calls transpiled functions. The benchmark code itself was of course not transpiled, so the sarcasm was unneeded and wrong.

If anyone wants to dig in deeper, the C function `latLngToCell()` calls 2 functions, see https://github.com/uber/h3/blob/master/src/h3lib/lib/h3Index...

Uber just released their library to perform geospatial indexing - https://h3geo.org/. This might be an useful building block for you.

I've used pgmem https://github.com/oguimbal/pg-mem for the last couple of years for the same thing.

I was wondering the other day how to classify tests that use a test double like pg-mem, which isn't a mock but isn't the Dockerized test DB either :

https://github.com/oguimbal/pg-mem

In my case, I use TypeORM with PostgreSQL, and there's pg-mem to run an instance in memory, it supports most of the common functionality of PostgreSQL but you will need to do some adjustment to your code to be within the limits.

Postgres in the browser is possible through pg-mem: "pg-mem is an experimental in-memory emulation of a postgres database" but it also suffers from no persistence. If you can persist to a file somewhere then read it in on startup (and if your local data isn't huge) this might work.

Dont get me wrong: I am trying to contribute to opensource as well, so I get that supporting small projects can be demanding. There's nothing wrong in not spending your weekends on OS. But not asking for help, nor specifying that a project is unmaintained, nor even answering issues & pull requests for years feels just wrong.

A pure Javascript in memory emulation of Posgres, to help writing better node tests https://github.com/oguimbal/pg-mem

Okay, I had a bit of spare time,I've implemented that, and it is now available with [email protected]

To get a glimpse of what I'm talking about, you can clone this repo and follow "Development" instructions (by the way this is a small OS lib I maintain, I wrote about it here)