akhenakh
Using DuckDB with Apache Supserset, Bonus Spatial Data
Gimmick to make me feel old?
I blog about software development, GIS Geospatial, Hamradio, Go, gRPC ...
There is a render bug when the application is not focused, it's taking a tons of cpu resources.
It seems you are not exposing server reflection https://github.com/grpc/grpc/blob/master/doc/server-reflecti...
It would be very useful especially for ppl discovering your api and playing with it with gRPC UI client like https://github.com/rogchap/wombat.
A Universal build (with arm64 build) on OSX would help.
First I did not post it here, the intent was to promote ccgo to the Go community.
I did recreate geoToH3 using the transpiled code and it is outperforming the helper tool provided by the C version see https://github.com/akhenakh/h3-bench/blob/main/cmd/geoToH3/m....
I hoped it was clear in the blog post: this is a very specific case where I only needed to convert coordinates to h3 index, with this specific goal this transpiled version outperform the cgo version.
The comment "probably due to Go runtime scaling on multiple cores" was me still seeing very close performance with GOMAXPROCS set to 1, but observing the process behaving differently than the pure C version. The fact it was not thread safe has been discussed already on Reddit and is not relevant nor an issue when used in a batch scenario like this.
ccgo is awesome, but feel free to discuss something else ;)
Free self hosted maps for all (as simple as Docker run)
Advanced Traefik 2.0 with Kubernetes
Load Balancing Inside Kubernetes, L7 Proxies, Mesh Network or Client Balancing
Geospatial indexing on Hilbert curves with S2
I assume you talk about gpsd? or libgeoclue?
gpsd is slow to start because it tries to detect the baudrate as stated in the manpage Autobauding on the Trimble GPSes can take as long as 5 seconds
I didn't find any solutions to disable this behaviour.
libgeoclue is a giant ecosystem relying on tons of libraries to work with and it does not work on my system.
Using Go mobile on iOS for real
A geo database for polygons, foundations
A fast database with Google S2
I use a discone antenna at home, but the picture you see on the blog was made with a wire antenna not especially dedicated to sats (a 2m/70cm wire JPole) outdoor.
You are right about complex geospatial queries, it's not the purpose of this simple storage. But someone sent me a promising lib from Google: https://docs.google.com/presentation/d/1Hl4KapfAENAOf4gv-pSn...
It could be applied to this model to make it handle polygons.