I disagree that it's a pain point in C++ or in Rust. You're generally just doing a lot more stuff and shifting the pain to incremental debug builds (so that the slow path doesn't need recompilation) is a perfectly viable solution. Template metaprogramming has never been the pain point in C++ for me because nobody wanted to use templates (after a certain points), huge deps are.

Anecdotally, the slow builds I've experienced in Rust were case sof overzealous Serialize implementation (aka, people adding Serialize to everything, just in case) or deps on large external projects (often in C++).

Coming from C++, where you either have someone who knows how to debug build times, I think the comparison with rust is unfair. cargo-timings is pretty nice and gives you a hint on what to look for.

This article actually shows debugging build times is not that hard. I did that for a personal project (which compiled part of OpenCV) and I'm certainly no ninja. I remember attempting similar tasks in C++ and getting completely lost.

I live and breathe C++ full time for more than a decade now. Compiling C++ _has_ always been pain point and big efficiency killer. Especially if you come from other languages (I don't but I enjoy learning other stuff too). It doesn't matter if you're directly writing your own template code or not because you're always gonna pull it in indirectly, even in most simplistic and inrealistic case when your sole dependency is C++ runtime library.

OTOH debugging C++ build times is no more than recompiling your code with -ftime-trace and inspecting it with ninjatracing, which btw is a great tool.

However, getting the data as you see is not the real challenge here but in how to use this data to optimize your build pipeline while keeping the functionality and not introducing more technical burden. That is very difficult and for many projects questionable if the benefits will outweigh the total cost invested in it.

  In general, long compilation times are mostly attributed by 
  the complexity of things (algorithms) that compilers are 
  trying to do for you in order to produce machine code and 
  not because there's a lack of standardized build system (a 
  bad idea) nor because of existence of headers.

that is not true - most of the project i worked for suffered from header parsing a lot - sometimes more then 50%, in 100k-1MioK lines of code projects many C++ developer tend to think that the code generation is the time consuming part but that is less true - you will see if you start benchmarking the compilation with todays tools available in Clang and VS2019+

I tend to disagree with this. I've optimized build times on number of occasions on different projects, each being in the venue of multi-million LoC, and none of them benefited greatly from employing precompiled headers, which essentially should help alleviate exact this gap.

Running the build with -ftime-trace almost always has shown in my experiments that the bottlenecks are either in exploding number of template instatiations or more often than not in linking time.

Compiler authors can often make compilation faster, but they have to work at it and think carefully through the problem. It has to be a focus not an afterthought.

Years ago the GNAT Ada compiler authors intentionally avoided implementing precompiled headers. They instead focused on very fast lexical analysis (using a small handwritten lexer optimized for lower case letters because that was the usual case). By careful optimization of a small part of the compiler they made the recompilation of headers faster than loading a precompiled header!! More info: https://dwheeler.com/essays/make-it-simple-dewar.html

Maybe the Rust team needs to add timers to their test suite. This kind of big regression in compilation time should have been caught by the test suite.

We track performance: https://perf.rust-lang.org/

I assure you it's not an afterthought. We track performance changes every week, going as far as reverting highly desired features to avoid regressions. The only reason we accept (small) regressions is for correctness fixes. This regression was only partly exercised by our perf test suite. That's how we grow it: see bad behaviour in the wild, add to the suite.

The source of rust compilation slowness usually boil down to excercising a part of the language that has O(n²) behaviour, like match arm evaluation, trait bound evaluation, or huge expansion due to monomorphization or macro expansion, and the resulting huge linking times from that, or the bottleneck that proc-macros introduce (they get compiled before they can get executed, only relevant on fresh compiles).

The regression was (partly) fixed by adding caching: https://github.com/rust-lang/rust/pull/90423/files and if I recall correctly was introduced by a feature change that fixed a bunch of incorrectly rejected deeply nested trait bounds.

Excellent to hear! Don't get me wrong, I like Rust. I'm hoping we can get compilation speeds up over time, though, that is a common complaint.

Thanks for reposting this. I recalled reading here a while ago some posts on why and how this was put into place, but I couldn't find the link.

In general, Ada has a pretty good compilation model. It has a formalized version of C++'s physical design with spec/body separation. It's also defined grammatically to required the context clause with dependencies first before everything else in a compilation unit (subunits or library units). `separate` also allows you to separately compile those things which might change a lot.

The rust compiler doesn’t spend a lot of time doing things like type checking and borrow checking, except in pathological edge cases (like in the article), and these edge cases are quickly fixed (eg this one was a regression that’s already fixed).

Most time tends to be spent in LLVM. That will also go down over time as the quality of emitted LLVM IR improves due to optimizations in rustc itself.