protoc-gen-star
s2geometry
protoc-gen-star | s2geometry | |
---|---|---|
1 | 26 | |
0 | 2,185 | |
- | 1.3% | |
0.0 | 5.8 | |
over 3 years ago | 2 days ago | |
Go | C++ | |
Apache License 2.0 | Apache License 2.0 |
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protoc-gen-star
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Protocol buffers database, a Key-Value database on the wire
I was using protoc-gen-star to define queries and structures. If you want to generate protobuf from protobuf, you'll need this fork with a decent amount of boilerplate on your end. I found it useful for things like generating protobuf to represent diffs.
s2geometry
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Hexagons and Hilbert Curves – The Horrors of Distributed Spatial Indices
I experimented with geospatial Hilbert Curves as a Postgres extension [0] for PostGIS using the S2 [1] spherical geometry library. S2 uses a scale free cell coverage pattern that is numbered using six interlocking space filling Hilbert Curves [2].
By having both high level (cell) and low level (cell id) geometries it was a very powerful library which allowed projection from the hilbert space into a Postgres spatial index (spgist) including various trees, like noted in this article. It appears to be still quite active in development.
[0] https://github.com/michelp/pgs2
[1] https://s2geometry.io/
[2] https://s2geometry.io/devguide/s2cell_hierarchy
- Show HN: TG – Fast geometry library in C
- Unum: Vector Search engine in a single file
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Understanding Geohashes
If you check the h3geo comparison page, you should see plenty of alternatives to geohash, such as s2 or even h3 itself.
- Evaluation of Location Encoding Systems
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Inscribed angle theorem in 3D/higher dimension
See some discussion I started at https://github.com/google/s2geometry/issues/190
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An Interactive Explanation of Quadtrees
> It was quite hard for me to find open-source implementations of linear quadtrees.
You probably know this, but the S2 library has one: https://github.com/google/s2geometry
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Why doesn’t my pokèstop show up?
https://s2geometry.io shows how this works
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Needing advice to improve geodesic calculation time
If your points are distributed globally, however, I'd suggest using something like s2geometry (calculates over a sphere instead of an ellipsoid which is much faster + already has something called S2ClosestPointQuery).
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What is the best data structure for this problem?
Some alternative solutions are S2 from Google and H3 from Uber. These don't have the same issues as geohash because they work on a 3-d model of the geoid and not a 2-d cylindrical projection like Geohash.
What are some alternatives?
ld - Lean Database
h3 - Hexagonal hierarchical geospatial indexing system
ogc-grpc - Proto api and proxy server for ogc / inspire compliant API
S2 geometry - S2 geometry library in Go
roaring - Roaring bitmaps in Go (golang), used by InfluxDB, Bleve, DataDog
0.30000000000000004 - Floating Point Math Examples
sled - the champagne of beta embedded databases
s2 - Node.js JavaScript / TypeScript bindings for Google S2
Kyrix - Interactive details-on-demand data visualizations at scale
open-location-code - Open Location Code is a library to generate short codes, called "plus codes", that can be used as digital addresses where street addresses don't exist.
BTrDB - Berkeley Tree Database (BTrDB) server