Hello, guys!
I'm working on a project that involves parsing of huge JSON
datasets in real-time.
Just an example of what i'm dealing with is here:
https://gist.githubusercontent.com/gdmka/125014058bb7d7f01b867fac56300a61/raw/f0c6b5be5fb01b16dd83f07c577b72f76f72c855/data.json
Can't think of any tools other that D or Go to solve this problem.
My experience of solving the problem with Go has led me to
Stackoverflow and the community out there seemed too reluctant to
help so i assumed that the language cannot handle such a set of
operations on complex datastructures.
My experience with D was like a charm. Where i have had ~100
lines of Go code i did the same with 12 in with D. But,
nevertheless, i did some profiling (unfortunately on OS X) and
saw much heavier CPU usage with D than Go. Probably because the
Go solution was unpacking all the data strictly to struct.
So, my real question is: can i actually, by any change, get the
description of an underlying struct that the call to parseJSON
generates?
The goers have this thing https://mholt.github.io/json-to-go/ to
generate structs from JSON automatically.
Since D easily parses JSON by type inference, i assume it builds
a JSONValue struct which holds all the fields and the data.
If it is possible, then i can build a similar JSON to D tool just
for the sake of saving people's time and patience.
