Reading the examples I found myself thinking, “that looks like a really useful pattern, I should bookmark this so I can adopt it whenever I write code like that.”
The fact that I’m considering bookmarking a blog post about complex boilerplate that I would want to use 100% of the times when it’s applicable is a huge red flag and is exactly why people complain about Go.
It feels like you’re constantly fighting the language: having to add error handling boilerplate everywhere and having to pass contexts everywhere (more boilerplate). This is the intersection of those two annoyances so it feels especially annoying (particularly given the nuances/footguns the author describes).
They say the point is that Go forces you to handle errors but 99% of the time that means just returning the error after possibly wrapping it. After a decade of writing Go I still don’t have a good rule of thumb for when I should wrap an error with more info or return it as-is.
I hope someday they make another attempt at a Go 2.0.
The main problems seem to me to be boilerplate and error types being so simplistic (interface just has a method returning a string). Boilerplate definitely seems solvable and a proper error interface too. I tend to use my own error type where I want more info (as in networking errors) but wish Go had an interface with at least error codes that everyone used and was used in the stdlib.
My rule of thumb on annotation is default to no, and add it at the top level. You’ll soon realise if you need more.
How would you fix it if given the chance?
I quite enjoy C# and F# and while they are low boiler plate, you can really learn them in a week or two the way you can learn Go.
And even you don't know anything about Go, you can literally jump into the code base and understand and follow the flow with ease - which quite amazes me.
So unfortunately, every language has trade offs and Go is not an exception.
I can't say I enjoy Go as a language but I find it very, very useful.
And since many people are using LLMs for coding these days, the boiler plate is not as much an issue since it be automated away. And I rather read code generated in Go than some C++ cryptic code.
I need to start getting used to context with cancel cause - muscle memory hasn't changed yet.
Go's context ergonomics is kinda terrible and currently there's no way around it.
It’s ironic how context cancellation has the opposite problem as error handling.
With errors they force you to handle every error explicitly which results in people adding unnecessary contextual information: it can be tempting to keep adding layer upon layer of wrapping resulting in an unwieldy error string that’s practically a hand-rolled stacktrace.
With context cancellation OTOH you have to go out of your way to add contextual info at all, and even then it’s not as simple as just using the new machinery because as your piece demonstrates it doesn’t all work well together so you have to go even further out of your way and roll your own timeout-based cancellation. Absurd.
Just pass along two hidden variables for both in parameters and returns, and would anything really change that the compiler wouldn't be able to follow?
i.e. most functions return errors, so there should always be an implicit error return possible even if I don't use it. Let the compiler figure out if it needs to generate code for it.
And same story for contexts: why shouldn't a Go program be a giant context tree? If a branch genuinely doesn't ever use it, the compiler should be able to just knock the code out.
The same would apply to anytime you have Result types - ultimately its still just syntactic sugar over "if err then...".
What's far more common in real programs is that an error can occur somewhere where you do not have enough context to handle or resolve it, or you're unaware it can happen. In which case the concept of exceptions is much more valid: "if <bad thing here> what do I want to do?" usually only has a couple of places you care about the answer (i.e. "bad thing happened during business process, so start unwinding that process" and many more where the answer is either "crash" or "log it and move on to the next item".
The problems are that the signature of functions doesn’t say anything about what values it might throw, and that sometimes the control flow is obscured — an innocuous call throws.
Both of these are solvable.
My argument here would be, that all of this though doesn't need to be seen unless its relevant - it seems reasonable that the programmer should be able to write code for the happy path, implicitly understanding there's an error path they should be aware of because errors always happen (I mean, you can straight up run out of memory almost anywhere, for example).
They would rather not solve it, thinking that the "programmers will deal with it".
Now they claim it’s too late.
Is there any equivalent in major popular languages like Python, Java, or JS of this?
Example:
maybeVal <— timeout 1000000 myFunction
Some people think that async exceptions are a pain because you nerd to be prepared that your code can be interrupted any time, but I think it's absolutely worth it because in all the other languages I encounter progress bars that keep running when I click the cancel button, or CLI programs that don't react to CTRL+C.In Haskell, cancellability is the default and carries no syntax overhead.
This is one of the reasons why I think Haskell is currently the best language for writing IO programs.
(I also think there's some wonkiness with and barriers to understanding Python's implementation that I don't think plagues Go to quite the same extent.)
https://github.com/ggoodman/context provides nice helpers that brings the DX a bit closer to Go.
Also, a sibling poster mentioned ZIO/Scala which does the Structured Concurrency thing out of the box.
There's a stop_token in some Microsoft C++ library but it's not nearly as convenient to interrupt a blocking operation with it.