kingshard
Tile38
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kingshard
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Tile38
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Show HN: TG – Fast geometry library in C
[2] https://github.com/tidwall/tile38
- PostgreSQL: No More Vacuum, No More Bloat
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Your Data Fits in RAM
I actually worked on a project that did this. We used a database called "Tile38" [1] which used an R-Tree to make geospatial queries speedy. It was pretty good.
Our dataset was ~150 GiB, I think? All in RAM. Took a while to start the server, as it all came off disk. Could have been faster. (It borrowed Redis's query language, and its storage was just "store the commands the recreate the DB, literally", IIRC. Dead simple, but a lot of slack/wasted space there.)
Overall not a bad database. Latency serving out of RAM was, as one should/would expect, very speedy!
[1]: https://tile38.com/
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Redcon - Redis compatible server framework for Rust
I ported it from Go and use it for my Tile38 project.
- Tile38 - a geolocation data store, spatial index, and realtime geofence
- Path hints for B-trees can bring a performance increase of 150% – 300%
- How do I implement push notifications on a 10 mile radius from a certain user?
What are some alternatives?
vitess - Vitess is a database clustering system for horizontal scaling of MySQL.
tidb - TiDB - the open-source, cloud-native, distributed SQL database designed for modern applications.
ledisdb - A high performance NoSQL Database Server powered by Go
cache2go - Concurrency-safe Go caching library with expiration capabilities and access counters
go-mysql-elasticsearch - Sync MySQL data into elasticsearch