372 karma · joined June 4, 2023
But if the type system need to cover all these components, then they start coupling again.
Coupling is not necessarily a bad thing as long as it gives good developer UX. If the database is tightly coupled with programming language, then it looks like ORM but better. And it probably can also reduce CRUD biolerplate or N+1 issue etc.
Related, there is SpacetimeDB that make backend run within database, and the backend code is highly coupled with SpacetimeDB's own API
The native ecosystem never payed attention to binary size optimization, but the JS ecosystem payed attention to code size in the very beginning.
WebAssembly still doesn't provide a way to release memory back to browser (unless using Wasm GC). The linear memory can only grow.
The Wasm GC limits memory layout and doesn't yet support multi-threading.
Wasm multithreading has many limitations. Such as cannot block on main thread, cannot share function table, etc. And web worker has "impedance mismatch" between native threads.
And tooling is also immature (debugging requires print debugging)
When macro sees a type `X` macro can never be sure whether it's `&str` as Rust allows type alias. If `X` is not `&str` it may also be a struct that contains `&str`, still macro cannot know.
Wasm-bindgen workarounds this issue by generating "fake functions" then read and remove them in CLI:
https://wasm-bindgen.github.io/wasm-bindgen/contributing/des...
Zig comptime allows getting full type information. This is one advantage of Zig.
So in my understanding:
- The transactions that only touch one shard is simple
- The transactions that read multiple shards but only write shard can use simple optimistic concurrency control
- The transactions that writes (and reads) multiple shards stay complex. Can be avoided by designing a smart sharding key. (hard to do if business requirement is complex)
It violates the "every transaction can only be in one shard" constraint.
For a specific business requirement it's possible to design clever sharding to make transaction fit into one shard. However new business requirements can emerge and invalidate it.
"Every transaction can only be in one shard" only works for simple business logics.
https://qouteall.fun/qouteall-blog/2025/How%20to%20Avoid%20F...
Contagious borrow issue is a common problem for beginners.
AI companies have high incentive to make score go up. They may employ human to write similar-to-benchmark training data to hack benchmark (while not directly train on test).
Throwing your hard problem at work to LLM is a better metric than benchmarks.
https://blog.cloudflare.com/deep-dive-into-cloudflares-sept-...
https://mikehadlow.blogspot.com/2012/05/configuration-comple...
Library developers tend to choose the path of least resistance, which is to not pass diagnostic information.
The most convenient diagonistic system is the good old logging. Logging is easy.
Maybe logging will be the de facto solution of passing error data in Zig ecosystem, due to psychological reasons.
I agree that in special states like OOM passing error data with allocation is not ok.
https://github.com/ziglang/zig/issues/2647#issuecomment-2670...
Somethings there are 100 things that possibly go wrong. With error data you can easily know which exact thing is wrong. But with error code you just know "something is wrong, don't know which exactly".
See: https://github.com/ziglang/zig/issues/2647#issuecomment-1444...
> I just spent way longer than I should have to debugging an issue of my project's build not working on Windows given that all I had to work with from the zig compiler was an error: AccessDenied and the build command that failed. When I finally gave up and switched to rewriting and then debugging things through Node the error that it returned was EBUSY and the specific path in question that Windows considered to be busy, which made the problem actually tractable ... I think the fact that even the compiler can't consistently implement this pattern points to it perhaps being too manual/tedious/unergonomic/difficult to expect the Zig ecosystem at large to do the same
The discarded futures will never be run again.
Normally when a future is discarded it's dropped. When a future holding lock is dropped, lock is released, but it's passing future borrow to select so the discarded future is not dropped while holding lock.
So it leaves a future that holds a lock that will never run again.