Then, after more thought, I'm not entirely sure that would be a bad approach. I say this not to advocate for actually rewriting it in Rust, but as a way of describing how difficult this is. I'm not actually sure rewriting the relevant bits of the system in Rust wouldn't be easier in the end, and obviously, that's really, really hard.
This is really hard transition.
I don't think multithread code quality should be measured in absolutes. There are things that are so difficult as to be effectively impossible, which is the lock-based approach that was dominant in the 90s, and convinced developers that it's just impossible difficult, but it's not multithreaded code that's impossibly difficult, it's lock-based multithreading. Other approaches range from doable to even not that hard once you learn the relevant techniques (Haskell's full immutability & Rust's borrow checker are both very solid), but of course even "not that hard" becomes a lot of bugs when scaled up to something like Postgres. But it's not like the current model is immune to that either.
— Joe Armstrong
Threads are evil. https://www.sqlite.org/faq.html#q6 https://www2.eecs.berkeley.edu/Pubs/TechRpts/2006/EECS-2006-...
Nginx uses an asynchronous event-driven approach, rather than threads, to handle requests. https://aosabook.org/en/v2/nginx.html http://www.kegel.com/c10k.html
They might even reduce complexity that way.
If every process is single threaded, you don't have to consider the possibility of race conditions when accessing any of those ~2000 global variables. And you can pretty much guarantee that little if any of the existing code was written with that possibility in mind.
Aside from the trivial while(!transactionSucceeded){retry()} loop, I have trouble proving the correctness of my programs when the number of threads is not small and finite.