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Language design is about trade-offs:

The borrow checker and ownership model is a huge tradeoff. Even those very experienced in it still fight it from time to time. Go made a different trade, they chose GC. And GC _is_ easier. But it has computational overhead (well today anyway).

Consider the cascading implications. Rust has a trait for Copy vs. Move types. This means every type has an implicit, and unknown behavior, on certain assignments:

    let v2 = v;
    println!("v is: {}", v);
You can't actually tell me whether the above code compiles without consulting other parts of the code. That's not the case for Go. It is thus simpler and more intuitive to program in.

But it is a trade-off. Go as a language must have a GC. It will never be suitable for certain tasks as a result.

Go also has less compile time checking. This means faster compiles, quicker dev cycles but less compile time safety. Go chose easier here again. These trade-offs are what make rust seem "difficult" in comparison to go. I don't know if you can ever "fix" them.



I am a member of the Rust language design team, I am very aware that language design is about trade offs.

I find the ownership model has non-performance advantages in that I find it provides strong design pressure to factor my system well. I would not describe my experience as 'fighting' the borrow checker - I feel positively when the borrow checker sends me back to the drawing board, because it teaches me things about my system I had not properly comprehended.

(There are areas where the borrow checker is overly conservative, but I never hit these in practice.)

> You can't actually tell me whether the above code compiles without consulting other parts of the code. That's not the case for Go. It is thus simpler and more intuitive to program in.

I'm sorry this is just silly. Here's some Go code:

    v2 := v + 1
You can't actually tell me if the above code compiles without consulting other parts of the code, because you don't know if `v` can be added to `1`. In Rust, type inference is only local to a function, so you will be able to determine from an actual compile-able code snippet whether or not that use after move is valid.

Go also actually might not compile on the exact example you cited (translated to Go, of course) because that code contains an error if `v2` is never used after it is assigned.

In general, you cannot reason about the correctness of incomplete code snippets. This is not specific to Rust.


I think you've missed my point.

The ownership and borrowing model may provide many benefits, but those benefits come at the cost of complexity (as defined by Rich Hickey in Simple Made Easy). I have never found the owning/borrowing thing to be very hard. But it is _more complex_. There are _far_ more fundamental concepts baked into Rust then Go. And the interplay of those concepts creates complexity. It requires more knowledge and inherently complicates more things.

The parent that started this says "it requires so much thought". What that means is they have to hold a lot more concepts in their head. It's not that any one concept is hard. It's that holding all those concepts and the interplay in their head at once is hard(er). This is what people mean when they say "Rust needs to improve to attract more non-genius developers."

A huge portion of things you have to think about in the ownership/borrowing model simply doesn't exist with a garbage collected language. You just _don't_ have to think about a huge set of things at all.

Type inference is an example of this tradeoff that both Go and Rust agreed on. This adds complexity and decreases clarity in both languages. The upside is expressiveness and conciseness. We could always make you specify the type with a declaration (like C) and then the snippet you posted would need less external reasoning:

    int v2 = v + 1;
While you can't fully reason about any snippet of code, the more core language level concepts I have to address with any snippet the _harder_ and more complex it is for me to consider them.*

I'm _not_ trashing Rust here. I'm just stating that some of the good tradeoffs you made here leave the language inherently more complex and thus difficult to use. There are _upsides_ to that. You gain safety, performance, and "pressure to factor [your] system well". Simplicity is very far from everything.

When you're writing acme.org most of those tradeoffs are may not be worth the complexity. When you are writing a safety critical system they damn well are.

*PS on the subject of code snippets and compilation. As engineers, the primary audience of our code is other engineers. As such, I always find some programming language debates have real insight when addressed by my Strunk and White (no really). Consider the following two sentences:

The compiler must know the lvalue. It may then use it later on.

Too me this is the English language equivalent of type inference. We know "it" is "the compiler" based on previous statements. Using pronouns too often in a sentence makes it unclear. Using them too sparingly makes it tedious (and also often difficult to read).

A similar balance holds with concepts the reader must address in a given paragraph. This is the line we all dance when we write code. How many concepts must we hold at once to comprehend what is written?


Your invocation of Rich Hickey's excellent talk is very confusing to me. It seems like you're using "simple" the way that he used "easy." What is "complected" in Rust's type system? Just because there are "many" concepts, doesn't mean those concepts are entangled. I don't even agree there are that many - Rust lacks inheritance, reflection, and all of their attendant concepts.

In contrast, I find the way Go builds concurrency into the language 'complex' in Hickey's sense. Similarly the way that slices and maps are parametric, but other types are not. The implicitness in interfaces. The way capitalization determines privacy. Go seems like a very 'complex' but 'easy' language.

However, I'd even say I'm not convinced that I want my language to be simple. I want my system to be simple; its possible that by abstracting over an inherently complex domain, and by limiting my choices, a complex language can encourage me to create a simple system. I think ownership encourages the creation of simpler systems. I think a well factored system and a simple system are synonyms.


Binding and use of a variable is complected with its lifecycle in Rust. Which is further complected with type sytem via traits. To quote the docs:

> We’ve established that when ownership is transferred to another binding, you cannot use the original binding. However, there’s a trait that changes this behavior, and it’s called Copy. We haven’t discussed traits yet, but for now, you can think of them as an annotation to a particular type that adds extra behavior.

That's two additional concepts that interplay with variable binding. Two more _implicit_ concepts at that. In contrast maps being parametric doesn't affect other things (other than some syntax which is v0v). It is an additional concept to understand yes. But it's not intertwined with the other language features.

> However, I'd even say I'm not convinced that I want my language to be simple. I want my system to be simple; its possible that by abstracting over an inherently complex domain, and by limiting my choices, a complex language can encourage me to create a simple system. I think ownership encourages the creation of simpler systems. I think a well factored system and a simple system are synonyms.

I agree with you here (especially the later part). Again I do like Go, but I'm not fanatical on this subject. Languages can _certainly_ push you to best practices. Do Rust's? It's probably pretty domain specific.


Copy is essentially operator overloading (it is a simplified, restricted, moves-or-doesn't overloading of the assignment operator), which is always implemented through traits. I agree that operator overloading complects the behavior of built in syntax with the polymorphism system, but the alternative seems worse to me.

However, I don't think binding and use of a variable is 'complected' with its lifecycle. These are semantically significant concepts that I like Rust helping me manage, irrespective of their impact on machine memory.

Also, I should be clear that I do web development professionally and I think the best practices Rust encourages are absolutely applicable to that space, and general application development. That those practices are also high performance in Rust is almost incidental.


> A huge portion of things you have to think about in the ownership/borrowing model simply doesn't exist with a garbage collected language. You just _don't_ have to think about a huge set of things at all.

I'd like to introduce you to resource leaking and the Android activity/context lifecycle...

Just because you don't have to think about them doesn't mean that they aren't concepts that you should still be applying in GC'd languages. You'll just get bit by them when you least expect it or your load crosses some invisible threshold.

That said there's a valid point in that the large majority of software doesn't push the performance/memory threshold enough to make it a primary concern.


A portion is not all. GC doesn't solve all resource leaks. It does solve the problem of lifetimes.


It also doesn't solve all your lifetime issues. Do you know that the library you passed your object to didn't take a reference?

With GC'd languages you say "I don't care" to the lifecycle question which can(and will in any moderately complex software) come back to bite you.


That's not a lifetime problem. The object is still appropriately alive if referenced. The lifetime in the GC and free sense simply means that while an object reference exists it should be valid. See http://web.media.mit.edu/~lieber/Lieberary/GC/Realtime/Realt... for example.

GC doesn't guarantee you won't have resource leaks (of which memory is one). It guarantees that when you no longer reference an object it will be freed and that while you have a reference its valid. That's the lifetime problem. The Rust docs call it the same thing for that matter...


Maybe not strictly lifetime problem, but the unexpectedly extended lifetime can cause problem. The caller switches which object it is working on and now the live object in the library is disconnected. Or, if it is mutable, changes could be done by the library at a time which break caller expectations.

I've found that in GC'ed languages (like Python or JavaScript) not taking care of "lifetime", easily results in logic bugs. Better than crashes* - but still problematic.

* Maybe not always better either. Not crashing may lead to silent data corruption. And obvious problems (like crash) tend to be fixed faster than subtle ones, in practice.


Garbage collection does not actually solve the problem of lifetimes. At least not in the gc'd languages I am intimately familiar (c#/java). I cannot comment on whether or not Go solves the problem of lifetimes because I don't know the language well enough, but I feel confident that if it does solve the problem, it is with garbage collection in conjunction with another concept


Only if you restrict your definition of "lifetimes" to include memory. That said, memory isn't necessarily the only resource regulated by a lifetime, and that's why I prefer non-GCed languages for most things.


Is it creating an additional complexity cost or simply exposing an existing but often ignored cost?

It seems a bit like pointers, higher level languages will hide these details from you but you still have to know what they are and how they work, in addtion you have to know how the garbage collector works (that's a big complexity cost right there). In the same way that c forces you to be aware of pointers the borrow checker forces you to be aware of ownership.


FWIW, I've been programming in both Rust and Go for years and I can't really perceive a productivity difference between them.

I think it's uncontroversial to say that Rust has a tougher learning curve. But once you're past that, I think the jury is still out.


Exactly this. If you're a massively parallel web service, who cares about some GCs, and who cares about crashing like 0.01% of all transactions? Monitor it, crash it, fix it, deploy it, move on.

If you operated a nuclear reactor with this mentality, I'd be concerned. If you're operating acme.org with that mindset... godspeed?


If you're running amazon.com with that mindset, 0.01% of transactions is millions of dollars a day.


If you're running amazon.com, a project that takes 2 weeks longer to complete is hundreds of millions of dollars of lost sales.


Go has one GC benefit that a lot of other GC wielding languages do not; avoid using GC whenever sensible. Variables that are strictly local are almost always allocated on the stack, so a function return has free built in GC; a sizeable number of allocated variables never hit the heap. Compare that to say CPython where everything is allocated on the heap.


That's an unfair comparison. Python is notoriously bad with memory/speed in every flavor


I have yet to understand why people are always trying to compare Go and Python. Python isn't made for the same use cases as Go is. Can Go do the work Python can? To an extent, yes. Can Python do the things Go can do? To an extent, yes. Python will always be slower with the CPython runtime.

In short, I agree with you.


In the case of Google Go was developed in part to take over some of workloads previously done in Python; a language that is comparably as easy to develop in, with better tools and better performance. I suspect this is why the comparisons keep popping up.


>In the case of Google Go was developed in part to take over some of workloads previously done in Python; a language that is comparably as easy to develop in, with better tools and better performance.

Go definitely performs better, buy I think it'd disingenuous to claim that Go has better tooling.


Just by being a statically typed language, Go does have far better tooling and indeed many languages seem to copy its tooling concepts.

What Python does have is a far richer third party library base.


>What Python does have is a far richer third party library base.

I assumed this is what you were talking about. i.e. Ipython, Jupyter, pdb, etc.


numpy pandas scikit-learn beautiful soup libraries for geo, geometry, tags, parsers etc etc. Python has an enormous base of sophisticated third party libraries.


The thing is if you don't want to fight the borrow checker you can use RefCell and Arc/Rc. People are discouraged because then you lose a lot of architectural advantages that come with Rust but nothing is keeping you from writing unsafe{} and RefCell in the places where you know things are safe but can't formulate something that Rust understands.


I suspect that if you can't formulate it into something rust understands, you don't understand it well enough to know it's safe.


GC is not easier when you care about how and when memory is allocated/deallocated




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