While going down that road is technically correct, it is a road full of pain.
A slightly less painful strategy is to disable overcommit. That way, if memory pressure is high, and a process calls `malloc`, that call will fail if there is not enough memory, and that process will fail. If you only have a couple of processes in your system that are using most of the memory and you can control them, it is simpler to just making them resilient to these kind of errors, than to try to mess with the process score to control the OOM killer.
There are totally legitimate use cases for processes that use significantly more virtual memory than physical memory (since virtual memory is relatively cheap, but physical memory isn't). A lot of programs are going to touch and not release all virtual memory they allocate from the kernel, but there are plenty of important counterexamples.
fork()/exec() is one example (which I've been burned by personally), but there are plenty of others. Any program that uses TCMalloc and has fluctuating memory consumption will have a lot of virtual address space allocated but not backed by physical pages. Sophisticated programs like in-memory caches or databases can also safely exploit a larger virtual memory space while keeping the amount of physical memory bounded.
If you want to spawn child processes from a process that uses half the system's memory (not uncommon in server environments) using fork/exec it is useful. In case you aren't familiar with how that works, the parent process makes copy of itself, including a virtual copy of all the memory assigned to that process. That memory isn't actually allocated or copied until the child process child tries to write to it (and then only the specific pages that are written to). Typically, the child process then calls `exec` to replace itself with a new program and replaces the process memory. Without overcommit or swap if the parent process is large enough, then the fork syscall fails due to insufficient memory.
In a desktop environment using swap/virtual memory is fine. But in a server environment, where the disk may be network-attached (higher latency) and just big enough for the OS and applications, needing significant swap space is often undesirable.
What's left out, though (and perhaps the source of my confusion), is that you typically commit a reserved page from an exception handler, and if the commit fails then presumably in the vast majority of situations the process will simply exit. See https://docs.microsoft.com/en-us/windows/win32/memory/reserv...
If the code dereferencing the reserved-but-uncommitted memory was prepared to handle commit failure beforehand it would normally have done so explicitly inline. I can't imagine very many situations where I would pass a pointer to some library expecting the library to handle an exception when dereferencing it. There are some situations--and they're one reason why SEH is better than Unix-style signals--but extremely niche.[1]
Either way, my point was that Windows does strict accounting, and while you can accomplish something like overcommit explicitly, nobody else has to pay the price for such a memory management strategy. Only the processes gambling on lazy commit end up playing Russian Roulette.
[1] In a POSIX-based library I once used guard pages, SIGSEGV handler, per-thread signal stacks, and longjmp to implement an efficient contiguous stack structure. This was in an extremely performance critical loop (an NFA generated by Ragel) where constantly checking memory bounds on each push operation had substantial costs (as in multiples slower). AFAICT, it was all C and POSIX compliant. (Perhaps with the exception of whether SIGBUS or SIGSEGV was delivered.) Though, because neither POSIX nor Linux support per-thread signal handlers you could effectively only use this trick in one component of a process--you had to hog SIGSEGV handling--without coordination of signal handlers. SEH would have resolved this dilemma. This being such a niche use case, that wasn't much of a problem, though.
https://blog.ometer.com/2008/02/04/out-of-memory-handling-d-...
Like any aspect of writing software, how you approach the problem effects the complexity of the final product. If someone doesn't make a habit of handling OOM, then of course their solutions are going to be messy and complex; they're going to "solve" the problem in the most direct and naive way, which is rarely the best way.
For example, unless I have reason to use a specialized data structure, I use intrusive list and RB-tree implementations, which cuts down on the number of individual allocations many fold. Once I allocate something like a request context, I know that I can add it to various lists and lookup trees without having to worry about allocation failure. Most of my projects have more points where they do I/O operations than memory allocations. Should people just ignore whether their reads or writes failed, too?
Yeah I know, hence the use of "random".
> The way to mark priority in killing is to adjust this score through /proc.
Haven't heard about this, thanks for the heads up!