Actual crashes (due to segfaults) can happen a long way from the bug that actually caused the issue, can happen intermittently and generally be a nightmare to debug.
So coming from that type of language (where you can't segfault) I'd definitely call a panic a "crash" simply because it's the analog of an unhandled exception, which I always called a crash.
So this terminology probably varies between ecosystems
It's a concept implemented in eg Erlang. Crash in their sense means basically, 'kill -9'.
Haskell is a great example of how handling errors can be harmful, since it violates confluence, even though throwing errors is fine!
Confluence is the property that evaluation order doesn't change the meaning of a program, e.g. we can do:
(1 + 2) * (3 + 4)
3 * (3 + 4)
3 * 7
21
Or: (1 + 2) * (3 + 4)
(1 + 2) * 7
3 * 7
21
We could inline some function calls if we like, thanks to referential transparency; we can even evaluate "under a lambda" (i.e. evaluate the body of a function before calling it, or evaluating the branches of an `if/then/else` before picking one); regardless of which way we evaluate, if we reach an answer (i.e. don't get stuck in a loop) then it will be the same answer: (1 + 2) * (3 + 4)
(1 + 2) * (if 3 == 0 then 4 else pred 3 + inc 4)
(1 + 2) * (if 3 == 0 then 4 else pred 3 + 5)
(1 + 2) * (if 3 == 0 then 4 else 2 + 5)
(1 + 2) * (if 3 == 0 then 4 else 7)
(1 + 2) * (if False then 4 else 7)
if (1 + 2) == 0 then 0 else (if False then 4 else 7) + (pred (1 + 2) * (if False then 4 else 7))
if (1 + 2) == 0 then 0 else 7 + (pred (1 + 2) * (if False then 4 else 7))
if 3 == 0 then 0 else 7 + (pred (1 + 2) * (if False then 4 else 7))
if 3 == 0 then 0 else 7 + (pred (1 + 2) * 7)
if False then 0 else 7 + (pred (1 + 2) * 7)
if False then 0 else 7 + (pred 3 * 7)
7 + (pred 3 * 7)
7 + (2 * 7)
7 + 14
21
Exception handlers break this, since we can write expressions like: try (head [42, Exception1, Exception2])
catch Exception1 -> 1
Exception2 -> 2
We can evaluate this one way: try (head [42, throw Exception1, throw Exception2])
catch Exception1 -> 1
Exception2 -> 2
try 42
catch Exception1 -> 1
Exception2 -> 2
42
Or another way: try (head [42, throw Exception1, throw Exception2])
catch Exception1 -> 1
Exception2 -> 2
try throw Exception1
catch Exception1 -> 1
Exception2 -> 2
1
Or another way: try (head [42, throw Exception1, throw Exception2])
catch Exception1 -> 1
Exception2 -> 2
try throw Exception2
catch Exception1 -> 1
Exception2 -> 2
2
This gives 3 different answers. Note that the throwing itself doesn't cause this problem, because we treat an "unhandled exception" as not getting an answer (equivalent to an infinite loop).When I first grokked this it was quite enlightening: adding features to a language can make it less useful. It's not that certain features (like throwing or catching exceptions) are "good" or "bad", but that we must think of languages as a whole, and knowing that some things aren't possible (like observing evaluation order) can be just as useful as allowing more things. This contrasts strongly with the tendency of languages to accumulate features over time, especially when the major justification is often "we should have it because they do" :)
There's also a nice discussion on errors vs exceptions at https://wiki.haskell.org/Error_vs._Exception
head [0, throw E]
also produces such an "indeterminate" answer depending on order of evaluation, as long as you define things as you have here.The solution in a lazy language like Haskell is to be specific about when things get forced, which outside of explicit overrides only happens in response to actual usage of that expression, eg. when the value is printed. At this point you're naturally forced to introduce either sequentialization or explicit parallelism; in the former there is no issue and in the latter you still need to explicitly sequence the results, of which the exceptions are a relevant part.
In a strict language like Rust, of course, you never aimed to have this property anyway.
In non-systems contexts it can just mean "premature termination". Rust, having both kinds of programmers, uses .... both :)
So a Rust panic is a crash, but so is a Rust segfault, depending on who you talk to.
Generally I try to explicitly say "panic" and "segfault".
It requires a bit of thinking how your library is structured when you need to avoid unwrap(). But in the end the result just works and I like how Rust forces a certain design to be safer.
1) On a method call somewhere in a stack with no null checks: here it's not very useful to have an NPE, since it should work (eg. there's no null checks, so why should it fail?).
2) `Objects.requireNonNull(o)` (or an explicit through). This indicates that a pre-condition is that the object should not be null. These tell that the fault is in the preceding call stack, therefore you don't even need to understand what the underlying one is to know where the error is coming from.
Although all types are nullable in Java, I don't expect _everything_ to be null-checked. Nullable types in Rust stand out, therefore should be matched or checked. If I have a panic due to a naked `unwrap()`, either there's a documented pre-condition and the system isn't recoverable (hence the crash), or the error handling is missing and I know what to do.
Hence `unwrap()` is similar to (2), which are useful panics.
You're definitely right that Rust is better than Java in that it makes things that may crash (like the naked unwrap()) obvious and "yucky", rather than "usual business". But that doesn't mean that a panic is not a crash - it still is. The language itself is better - but that doesn't mean you can't write code that crashes :)
Heck, your monitoring system could still notice the program exiting and call your operations stuff in Rust's case too.
And a user with sudo rights killing -9 a program you run might or might not send anything to your monitoring system -- but that wont be a crash either.
I think the important point the parent is trying to make is between a crash and a controlled exit, that is whether you get a stacktrace, things can be called to cleanup, etc.
Merely calling all the cases just "crash" would lose that distinction. It's like calling all vehicles "vehicles". Sure, it's accurate, but I want to know if it was a car, a motorcycle, a truck or whatever.
Panics can also be "caught" like exceptions, though this is not something you're supposed to use to implement exception handling. The idea is that if you want to make your application robust you can catch these panics near the top and try to recover.
Often panics bringing down a single thread will bring down other threads that try to read messages from it and have declared that they will panic if that is not possible. (.recv().unwrap() is a common idiom).
So it depends on how you use it.
And "monitoring system" is assuming the context of a server side application.
That’s a massive improvement over alternatives