Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/smilyorg/tinygpkg
Go library for local, small, fast reverse geocoding
https://github.com/smilyorg/tinygpkg
geopackage geospatial golang local self-hosted sqlite twkb wkb
Last synced: 12 days ago
JSON representation
Go library for local, small, fast reverse geocoding
- Host: GitHub
- URL: https://github.com/smilyorg/tinygpkg
- Owner: SmilyOrg
- License: mit
- Created: 2023-08-08T21:24:57.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2023-12-02T21:04:01.000Z (12 months ago)
- Last Synced: 2024-06-22T15:45:13.136Z (5 months ago)
- Topics: geopackage, geospatial, golang, local, self-hosted, sqlite, twkb, wkb
- Language: Go
- Homepage:
- Size: 74.2 KB
- Stars: 5
- Watchers: 2
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
tinygpkg
Go library for local, small, fast reverse geocoding with TWKB & GeoPackage.
📥 Get Datasets
·
🐛 Report Bug
·
💡 Request Feature
Table of Contents
## About
tinygpkg is a Go library for fast, local, and small-scale geospatial processing.
Currently the main use-case is local reverse geocoding by using [GeoPackage]
files that have been simplified and compressed into [Tiny Well-known Binary
(TWKB)] format.The library has been heavily inspired by [sams96/rgeo], a Go library for local
reverse geocoding. The main difference is that `rgeo` uses embedded compressed
GeoJSON, which it uses to build a [s2.ShapeIndex] at initialization time, while
`tinygpkg` uses the [GeoPackage] format (based on SQLite), which it queries and
deserializes at query time.This means that for comparable datasets `tinygpkg` has almost **no startup
cost** (12ms vs 14s) and **drastically lower runtime memory usage** (27MB vs
1.5GB) at the expense of **slower reverse geocoding queries** (63µs vs 500ns)
compared to `rgeo`. `tinygpkg` can also work with much larger datasets (like
[geoBoundaries CGAZ]), as it doesn't need to index the entire dataset in memory.### Features
* **Local** - no network requests needed
* **Small** - supports [Tiny Well-known Binary (TWKB)] in [GeoPackage] for smaller dataset sizes
* **Fast** - fast startup time (12ms) and reverse geocoding queries (<1ms)
* **Low memory usage** - [GeoPackage] files are queried on-the-fly at runtime
* **Large datasets** - can work with datasets that don't fit in memory
* **GeoPackage** - uses the [GeoPackage] format reading geospatial data
* **TWKB** - supports [Tiny Well-known Binary (TWKB)] in GeoPackage for compressed datasets### Limitations
* **Slower queries** - each query needs to do a database lookup, geometry deserialization, and point-in-polygon check - it's still plenty fast (microseconds), but not as fast as [sams96/rgeo] that uses [s2.ShapeIndex]
* **No GeoJSON** - only supports GeoPackage files for now### Built With
* [Go](https://golang.org/)
* [GeoPackage](http://www.geopackage.org/) - SQLite-based format for geospatial data
* [Tiny Well-known Binary (TWKB)] - compressed geometry format
* [peterstace/simplefeatures](https://github.com/peterstace/simplefeatures) - Go geometry processing library
* [zombiezen.com/go/sqlite](https://github.com/zombiezen/go-sqlite) - pure Go SQLite library## Benchmarks
See a more detailed comparison below using two [Natural Earth] datasets.
[s2.ShapeIndex]: https://pkg.go.dev/github.com/golang/geo/s2#ShapeIndex
[Natural Earth]: https://www.naturalearthdata.com/
[geoBoundaries CGAZ]: https://www.geoboundaries.org/downloadCGAZ.html| Benchmark - [110m countries dataset] | rgeo | tinygpkg | % of rgeo |
| ------------------------------------ | ---------- | ---------- | --------- |
| Compiled code size | **3.2 MB** | 7.8 MB | 243% |
| Bundle size (code + data) | 32 MB | **8.2 MB** | 26% |
| Startup time | 93 ms | **14 ms** | 15% |
| Startup allocated bytes | 22 MB | **12 KB** | 0.05% |
| Runtime memory usage | **25 MB** | 27 MB | 108% |
| Reverse geocode time | **1.2 µs** | 87 µs | 7250% || Benchmark - [10m cities dataset] | rgeo | tinygpkg | % of rgeo |
| -------------------------------- | ---------- | ----------- | --------- |
| Compiled code size | **3.2 MB** | 7.8 MB | 243% |
| Bundle size (code + data) | 32 MB | **11.5 MB** | 35% |
| Bundle size (7z compressed) | 30 MB | **5 MB** | 17% |
| Startup time | 14000 ms | **12 ms** | 0.08% |
| Startup allocated bytes | 6 GB | **13 KB** | 0.0002% |
| Runtime memory usage | 1.5 GB | **27 MB** | 1.8% |
| Reverse geocode time | **0.5 µs** | 63 µs | 12600% |See also detailed [benchmark results](/bench/results/).
[110m countries dataset]: https://www.naturalearthdata.com/downloads/110m-cultural-vectors/110m-admin-0-countries/
[10m cities dataset]: https://www.naturalearthdata.com/downloads/10m-cultural-vectors/10m-urban-area/## Usage
```sh
go get github.com/smilyorg/tinygpkg
```See [example](/example), shortened below.
```go// Open GeoPackage with dataset and column for reverse geocoding
g, _ := gpkg.Open(
"../testdata/ne_110m_admin_0_countries_s4_twkb_p3.gpkg",
"ne_110m_admin_0_countries",
"NAME",
)
defer g.Close()// Reverse geocode a point
p := s2.LatLngFromDegrees(48.8566, 2.3522)
name, _ := g.ReverseGeocode(context.Background(), p)
println(name)// Output: France
```## Contributing
Pull requests are welcome. For major changes, please open an issue first to
discuss what you would like to change.## License
Distributed under the MIT License. See [LICENSE](LICENSE) for more information.
## Acknowledgements
* [sams96/rgeo] - big inspiration for this library
* [Best-README-Template](https://github.com/othneildrew/Best-README-Template)
* [readme.so](https://readme.so/)[Tiny Well-known Binary (TWKB)]: https://github.com/TWKB/Specification/blob/master/twkb.md
[GeoPackage]: http://www.geopackage.org/
[sams96/rgeo]: https://github.com/sams96/rgeo