It also allows the calling function to ignore the mess and hope that something further up the call-chain will deal with it.
Exceptions circumvent the normal control-flow of a program, and that makes code less obvious to follow. When I see foo calling bar() in go, I know where, and if, errors returned by the function are being handled, just by looking at foo.
When I see foo calling bar() in Python, and there is no try-except block in foo, I have no idea what happens to any errors that bar may return. I now have to check everyting that calls foo, which may be multiple other places, each of which could have a different Exception handling, or none, in which case I have to also check all the callers of that caller of foo, etc.
And even if there is a try-except, I have to check whether except catches the correct TYPE, so now I also need to be aware of the different types of Exceptions bar may raise ... which in turn depends on everything that bar calls, and how bar itself handles these calls, etc.
Yes, error handling in Go is verbose. Yes, it would be nice if it offeres a little syntactic sugar to improve that.
But error handling in Go is also obvious.
Why? Keep in mind in go, you almost certainly don't check the type of the error. Why hold python to a hire standard (or the opposite: why don't you pass errors with types in golang, and handle errors of only a particular type or set of types?)
The answer, in both cases, is of course the same: errors are almost always handled in one of two cases: basically at the callsite (either at the callsite or in the parent function), or they are handled in "main" in some form of catchall.
Exceptions are really great for this. You very much don't worry about the things that might be thrown by a child of a child of a child of foo() that you call, because the abstraction shows that you shouldn't care (unless perhaps foo documents explicitly a particular function it throws). You don't need to waste code or mindshare on something you really don't care about. In go however, you do!
Because unless the caller of foo uses a catchall, it may not actually catch the exception raised by bar. Lets say bar opens a file, and callerOfFoo says `except FileNotFoundError:` ... what if bar opens a file that exists with insufficient Permissions? Then it's `PermissionError`, and callerOfFoo won't catch it.
Sure, its possible that callerOfFoo is prepared for that, but my point is, I don't know that unless I check its code.
With python and other exception based languages? I have made hundreds of commits in my lifetime after being surprised that some random 3rd party library throws a nonstandard exception and breaks all sensible control flow that everybody assumed was happening.
Consider a go function foo which returns some value and an error. What can you do with that error? You mention control flow being broken by python and others, but the control flow of
def myfunc():
if foo():
do_a()
else:
do_b()
and def myfunc():
try:
cond = foo()
except:
raise
if cond:
do_a()
else:
do_b()
and func myfunc() err {
cond, err := foo()
if err != nil {
return err
}
if cond {
do_a()
} else {
do_b()
}
Are all the same! And you can't do anything different in them, because in go, you have no knowledge about the error. Is it aa temp error you should retry? Who knows, are you going to parse the error string to figure it out? The only think you can do in go to an error from some library function is pass the error, possibly adding some additional context, because otherwise you may be mishandling the error.In exception based languages the "pass the error" case is done for you, but if you do want to retry retriable errors, you can actually use a language feature to know that. In go, you have to hope the library creator created an interface (and that all of the possible errors that could percolate up have compatible error-extension interfaces!) that includes some kind of type information, which almost no one does.
You're talking about "sensible" control flow, but go doesn't have it!
https://gosamples.dev/check-error-type/
cond, err := foo()
if errors.Is(err, ErrFooHadTemporaryFailure) {
// retry
} else if errors.Is(err, ErrFooHostOffline) {
// switchFooHost()
} else if err != nil {
// propagate unhandled error upwards
return nil, fmt.Errorf("foo unhandled err: %w", err)
}
Of course it is up to the package author (or yourself) to write functions that return specific wrapped error types. Otherwise we're stuck in the situation your comment describes.What do you mean by creating an error interface? It's a one liner to make a new error case:
var ErrFooHadTemporaryFailure = errors.New("temporarily failure, retry later")How does this compare to error handling in Go?
No, they are not.
func couldFail() error { /*...*/ }
func ohNoes() {
couldFail()
}
ohNoes() can call couldFail() and ignore the error return completely, without the compiler complaining.This is intended. Error returns are not special; they are just another return value. Error handling by the caller includes "I don't care if there is an error". Yes, in some situations that's a bad code smell. In others, it really doesn't matter. Go puts the responsibility to decide which applies in the hands of the programmer.
To get the same effect in python, I'd have to wrap the call in
try:
couldFail()
except:
passIf I saw the latter Python code in a code review I would squirm. I would scrutinize it very seriously and if there's some really odd case where you really want this, I'd require at least a logger line or a comment to explain why in the world this is desired behavior.
That depends whether the error condition is worth caring about, for a given application, in a given state.
eg. how often do programs check if `printf("something")` actually succeeded?
Probably not very often? But they probably should?
If you're printing something, there's probably a case where you care about that being printed, and if it's not in that case, that's bad?
This also applies to logs too. Just because you're not always looking at the logs doesn't mean they're not important when you need them.
Sure, if you have some chatty logs going through a distributed logging system you might not want to crash the whole thing, and in that case you might want to ignore the exception. But this is a very fringe case.
I prefer this way, but there was one thing I didn't understand until Ned Batchelder taught me, how to layer them:
- https://nedbatchelder.com/text/exceptions-in-the-rainforest....
- https://nedbatchelder.com/text/exceptions-vs-status.html
I didn't have the full mental model until I read that.
Error handling for an API etc usually make the most sense in a central location (some middleware etc) so why would I check that each and every function call was successful.
I do like go, but the error handling is hardly the best thing about it. It’s just different. Neither is wrong.
Yes, but panics are intended to represent an actually exceptional situation, like dereferencing nil, or the machine running out of memory ... things that normally shouldn't happen, and from which the logic cannot easily recover.
> Error handling for an API etc usually make the most sense in a central location (
Which is doable:
if err := couldFail(); err != nil {
return err
}
I can let errors bubble up the call stack as far as I want, I just have to be explicit about it.They are non-local jumps. They make reasoning about the code very difficult. When you read code, you have to treat all conditions symmetrically and equally likely (e.g., whether a file exists or it doesn't). Using exceptions for control flow, as is done sometimes in python, forces an unnatural asymmetry between cases that I find confusing. And this is just when there is a single exception at stake. Typically, several exceptions fly invisibly over the same code and it becomes impossible to understand (unless you assume that no exceptions occur, which is the wrong stance to take when analyzing an exception-riddled code).
TL;DR: raise and except are a corporate-friendly renaming of goto [0] and comefrom [1].
Pretty sure I don't do that when I read code. When I see "list.add()" I don't consider running out of memory and the operation failing equally likely to the list being added to. And if it did, in 99.99% of the cases I'm fine with it just bailing, because there's not much else to do at that point.
I agree that using exceptions for what could be considered normal conditions is not great. Trying to open a file that doesn't exist isn't by itself an exceptional incident. The calling code might consider it an exception and decide to raise, but the IO library shouldn't.
This is a way of thinking that I don't get. Yes it's fine that an IOLibrary has to be able to handle a FileDoesNotExistError condition. But from the caller POV: I clearly instructed you to open a file of some description. I expect you to return to me a handle for said file. Everything that does not match that expectation is exceptional (to the caller).
And it is that violation of expectations that is communicated by (Python's) exceptions.
No. If you want to read some data from a file if it exists, and continue merrily along if it doesn't, then you cannot simply check if the file exists and then try to open it. That would lead to a race condition. The file could for example be deleted in between the two calls.
The only proper way to handle that is to try to open the file, and if the result of that is FileDoesNotExistError then you continue along merrily.
If the file the caller tries to open is a settings override file, say, then it's not exceptional that the file does not exist.
Sure, but saying "open this file" and having the response "nothing here, boss" is not exceptional. It's pretty normal. Isn't that just one of the two obvious options when you try and open a file? To me, exceptional would be something like "this file was open and now it's deleted."
try {
some_code();
} catch (e) {
var fixed = handle(e);
if(fixed){
continue; // goes back to where the error was trown
} else {
beak;// gives up and continues from here
}
}The old-fashioned
if (condition):
statement_1
else:
statement_2
now becomes try:
assert(condition)
statement_1
except AssertionFailed:
statement_2
This is much clearer, since the "normal" flow of execution is emphasized, and it avoids using an ad-hoc legacy if/else construct. Moreover, it has the advantage that statement_2 can be hidden into another part of your program, wherever you want to catch this exception.It is proposed as an alternative to both the current monad-oriented approach used in Haskell and the procedural side-effects of OCaml.
To my understanding the base idea is that you can register "handlers" for (user defined) "effects" that can be emitted from normal code.
Once an effect is emitted the handler receives a continuation and can decide what to do with it (call it immediately, register it in a async/await pool, repeat it 5 times).
It would offer a type safe way to implement async/await as library code, which sounds quite cool.
The proposed try/catch/continue was a silly bastardization of this idea.
[0] https://en.wikipedia.org/wiki/Continuation
Typically you just care to have one or two primary places where you actually care if something has gone wrong.
Interesting. For me it's very much the opposite. What about them do you find confusing?
> I don't even accept, philosophically speaking, the concept of exception: there are no "exceptions" when running a program [...]
I think you're looking at it wrong. Exceptions, as implemented in the languages I know, are more about having a framework of allowing inner/library code to drop the ball and run away screaming, without making more of a mess.