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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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zig
General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.
I like to use compile time code to generate fixed tables, like these:
https://github.com/dlang/dmd/blob/master/src/dmd/backend/ope...
Notice how a static immutable array is created by a lambda at compile time. The lambda never appears in the executable. Before D, I'd use a separate C executable to generate the tables, which were then #include'd.
The lambdas can also include sanity checks:
https://github.com/dlang/dmd/blob/master/src/dmd/backend/ope...
As noted elsewhere it seems your experience is somewhat outdated: the releases of the LLVM D Compiler (one of the two compilers worth using for production builds, the other being GDC) are buffered to the bugs introduced in DMD (which is more stable than it used to be although there are still regressions), and there is a fork based GC available for linux, but as the GC will only ever trigger on allocation, don't use it and it won't collect.
> While C++ is not by any means a great meta-language, it's improved considerably since that time.
C++ has also painted itself into a corner multiple times too, which despite being technically an improvement over the status quo are lacking severely in their utility. C++ screwed up "constexpr if" big time by always introducing a scope (which costs you a pair of {}'s in the rare occasion you need one) which means you can't conditionally insert declarations (i.e. variables, structs/classes, functions).
> but beyond the novelty you'd hardly find a mature or reliable codebase written by a team of professionals using hacks like [string manipulation and mixins].
They are a wonderful hack when you need them and nothing else will do what you want. This is not unlike resorting to macros in C++, except that its hygienic, unlike macros.
I'm not claiming the project is mature and I'm only one person, but reliable definitely out there. The most heinous set of string mixins i've ever written[1] has definitely got to be the code for generating wrappers to call the OpenCL object property querying functions (clGetDeviceInfo & friends). You need to pass a size and a void pointer to the address of the return object that you have to call once, twice or more (depending on the type of the queried property) to figure out how much memory you need to allocate to call it again.
The important thing is that the interface[2] you use to drive this code generation is very clean and return on investment for getting the generic case correct is large.
[1]: https://github.com/libmir/dcompute/blob/master/source/dcompu...
Good catch, forgot about Zig. Although it doesn’t have a fast bytecode VM dedicated for running comptime, Andrew has stated that it will achieve CPython-level performance once the self-hosted compiler is finished, so things might become better.
https://github.com/ziglang/zig/issues/4055