From what I understand in the follow up: postgres uses shared memory for buffers. This shared memory is read by a new connection while locked.
In postgres, connections are handled with a process fork, not a new thread. If such a fork first reads memory, even if it already exists, that causes a minor page fault, which goes back to the kernel so it can update memory mapping tables.
The operation under lock is only a few instructions, but if it takes longer than expected, then that causes lock contention. Regression in the kernel handling minor faults?
The whole thing is then made worse because it's a spinlock, causing all waiting processes to contend over the cpus which adds to kernel processing.
Mitigated by using huge pages, which dramatically reduces the number of mapping entries and faults. I reckon that it could also be mitigated in postgres by pre-faulting all shared memory early?
Everything that's visible to the compiler is subject to automatic inlining. That is all code in the current crate (compilation unit), all concrete instantiations of generics (regardless where defined), and all functions marked inline (regardless which crate).
Stdlib containers are all in the generics category.
> Get this, say a project takes a year to complete. The concept is saying a 10x engineer can do this in about month.
The true 10x engineer looks at the project, sees the inherent needless complexity, goes back to the sponsor and uses his business knowledge to renegotiate the specs. Leading to a reduced scope with 98% of the business value and 10% of the work.
Never combine new tech with new functionality. If you want to learn new tech, use it to rewrite an old project that was due anyway. If you want to build new functionality, use tech that you know.
This has nothing to do with Rust. I've seen the exact same thing happening with golang in a C++ only environment. Long project, took forever, failed slowly, took a week to rewrite in C++.
You get the same with e.g. tokio::spawn, which runs the future concurrently and returns something that you can await and get the future's output. Or you can forget that something and the future will still run to completion.
Directly awaiting a future gives you more control, in a sense, as you can defer things until they're actually needed.
Then the app relies purely on the ssl cert of the server, for mitm mitigation. This way, the qr can contain a signed reply to the code, which adds a layer.
Apart from CGAT being a 2-bit alphabet, changing the alphabet does not change the information density. Expect that this kind of transformation has no impact on the compressed result, with most general purpose algorithms.
First, this is about data access and not programming.
Second, that quote is from a time when compiler optimizations did not exist, and the programmer was supposed to use all kinds of clever tricks to speed up code (what today you get for free with -O3). That kind of optimization is the context of the quote, and it's hardly ever appropriate to just throw into some discussion about optimization.
Take incrementing int32. Extend to 64 bits. Multiply by large prime number (e.g. fnv32 prime). Mod 1 million. Add 1 million. End up with random looking, 7 digits, nicely sequenced, 32 bit integers. Write an exhaustive test to verify.
When near 1 million users (yagni), reset sequence and do the same with 10 million (or one billion).
Doesn't solve the upside of 128-bit random numbers (ala uuid): the ability to generate remotely and expect no collision.
In postgres, connections are handled with a process fork, not a new thread. If such a fork first reads memory, even if it already exists, that causes a minor page fault, which goes back to the kernel so it can update memory mapping tables.
The operation under lock is only a few instructions, but if it takes longer than expected, then that causes lock contention. Regression in the kernel handling minor faults?
The whole thing is then made worse because it's a spinlock, causing all waiting processes to contend over the cpus which adds to kernel processing.
Mitigated by using huge pages, which dramatically reduces the number of mapping entries and faults. I reckon that it could also be mitigated in postgres by pre-faulting all shared memory early?