Escape hatches under the abstractions are generally there precisely to break the abstractions, and break them they do.
Abstractions necessarily involve being irreversible, or, to forestall a tedious discussion of the definition of "irreversible", necessarily involve making it an uphill journey to violate and go under the abstraction. There's no way around it. Careful thought can make using an escape hatch less pain than it might otherwise be (such as the ORM that makes it virtually impossible to use SQL by successfully hiding everything about the SQL tables from you so you're basically typing table and column names by dead reckoning), but that's all that can be done.
One thing to do about this is that just as in the past few years the programming community has started to grapple with the fact that libraries aren't free but come with a certain cost that really adds up once you're pulling in a few thousand libraries for a framework's "hello world", abstractions that look really useful but whose restrictions don't match your needs need to be looked at a lot more closely.
I had something like that happen to me just this week. I needed a simple byte ring buffer. I looked in my language's repos for an existing one. I found them. But they were all super complicated, offering tons of features I didn't need, like being a writethrough buffer (which involved taking restrictions I didn't want), or where the simple task of trying to understand the API was quite literally on par with implementing one myself. So I just wrote the simple thing. (Aiding this decision is that broadly speaking if this buffer does fail or have a bug it's not terribly consequential, in my situation it's only for logging output and only effectively at a very high DEBUG level.) It wasn't worth the restrictions to build up stuff I didn't even want.
Wouldn't it be possible to say "ok, I'll take those restrictions as long as they benefit me, but once I notice that they no longer do, I'll break them and drop down to the lower layer. But only for those parts that actually require it"?
> Abstractions necessarily involve being irreversible, or, to forestall a tedious discussion of the definition of "irreversible", necessarily involve making it an uphill journey to violate and go under the abstraction.
Why? Not being snarky, I'm genuinely trying to understand this better.
You can’t know, because the abstraction (add) destroys information. A “good “ abstraction destroys information that doesn’t matter, or maybe matter in a given context.
You can hang on to all of that extra detail, but it seems like that extra detail slows down drawing inferences.
When I claimed adding resulted in 5, you probably didn’t care if it was 5 apples or 5 skyscrapers. The addition results of 5 are the important part.
Kinda hand waving, but what is included and what is left out is the heart of abstraction imho. And when it’s left out, you can’t get it back.
How Aristotle illustrated abstraction – by extracting the definition of triangle. Reversible abstraction would mean the possibility of taking a triangle in the Cartesian space and reconstructing the actual object that includes an instance of this triangle. We’d have to be able to reconstruct its material properties.
It is precisely this impossibility that is essential to abstraction. It involves the removal of properties of a particular to arrive at the abstract – the common, the universal.
Now, it is possible to arrive at a poor, incomplete abstraction. Imagine if we dealt with red triangles and green triangles, as opposed to just triangles. If we wished to operate on the its underlying triangle, we would have to remove the colour at each operation. It would be an unused variable. We don’t want that – so we remove the property of colour from our triangle operations entirely. And thatbis the only way to deal with triangles.
Reversibility is simply a different property that can’t be attached to abstraction is if we wish precision at all.
You might be an abstracted adding thingy that adds two numbers to get some other number. But you could also implement a visitor pattern that hooks into the guts of your implementation, allowing me, for example, to inject a logger to record what those numbers were.
Likewise, some ORMs have some abilities to bypass the query engine to hand-write a query, or change the way data types are serialized/deserialized - the key here is basically providing an API to peek under the hood when the user needs to do some stuff at a lower level than the abstraction dictates
"Why? Not being snarky, I'm genuinely trying to understand this better."
It's almost a definitional issue, honestly. If you aren't doing some sort of limiting and building on limitations, you don't have an abstraction, you just have a library. A library is just a whole bunch of programming you could have done yourself, but doesn't impose any further restrictions on you. A classic example would be an image decoding library. They generally do not impose anything on you. They're just huge bits of code that turns images into pixels. You justifiably pull one in because why would you want to write that code again when battle-tested code already exists, but it doesn't impose anything on your code.
Now, when you start getting an "abstraction" that tries to make it so you can operate on multiple types of images at once, you're going to have some restrictions. Your abstraction is going to make some choices about the color spaces you can operate on. Your abstraction is going to make choices about what features they expose from the underlying graphics formats. For example, consider how a generalized "operate on all images" library will handle animated formats. It's a very sensible answer to say it won't operate on them at all. Or perhaps it offers animation support and errors out if you choose a format that doesn't support them. Can it export SVGs? Can it export SVGs with any sort of embedded Javascript? Does it do anything sensible with imported SVGs with embedded Javascript? What does it do with vector versus pixel based images?
You may say "ah, but jerf, I can easily provide a library that simply allows all those things no matter what... or, well, at least I can hypothesize such a library, providing it would actually be a pain... but there's no reason it couldn't exist". Exist, yes, but what you'd find is that if it let you do everything to every image format that it actually wouldn't do much! You can provide a library that takes a file, figures out what kind of image it is, and hands back a specific instance of a *JPEG or *GIF or *TIFF or *SVG, but if your supposed abstraction lets you do anything with anything, if you sit down and work out what it actually means for my JPEG support to give you access to the DCT tables directly and the GIF library to support the exact GIF animations and SVGs to offer direct manipulation of the SVG DOM and PNGs to offer direct access to all the frame elements in a PNG is that you don't have an "abstraction" anymore! Your "abstraction" is just a whole bunch of libraries bundled together with a thin abstraction around loading a file, and programmers using it this way get no ability to work across file types because they all have a completely different API.
And then you say "But I could offer a subset", which is 100% true, and that would be an abstraction. But then that abstraction would offer no access to PNG frames or JPG DCT tables.
And that's fine. There's no law whatsoever that a single "thing" must either be an abstraction or a library. It would be perfectly sensible to offer a total image solution that had a series of abstractions of varying level of restrictions and varying corresponding levels of power, and also include a full library for deep manipulation of every individual type. It's fine to offer a generalized "Image" type that has a ".ConcreteImage()" method that returns a concrete image that can be used with the libraries and "penetrate the abstraction". My point here is about the fact that if you want more "power", to operate on multiple image types with the same code, to take advantage of simply committing to a page-based interface to the Web and thereby being able to take advantage of the resulting simplifications it offers, to be able to plug arbitrary compression algorithms on to an IO stream, you always have to build these things on a reduction of power of some sort because you can't get any "abstractive" power if you're trying to offer everything to everybody. It's a fundamental fact of abstractions, it's precisely where they get their power from in the first place, and there is no option where you get those benefits without paying the price.
One way of viewing an Inner Platform is when you have an abstraction that is so "powerful" in the process of doing everything for everybody that it fails to offer any of the advantages of imposing the restrictions, but it still manages to deliver the disadvantages of abstractions! (Alternatively it can come from having some layer reduced power in the wrong way, and then having a layer above it trying to recover the original power. Either way these are always, always disasters.)
I think the question I have is, what benefit does this provide? Let's say we could wave a magic wand and you can operate at any layer of abstraction. Is this beneficial in some way? The article is about leaky abstractions and states
> One reason the law of leaky abstractions is problematic is that it means that abstractions do not really simplify our lives as much as they were meant to.
I think I'm just struggling to understand how this would help with that.
If a certain aspect of the problem can be solved easily in a higher layer of abstraction, great! Let's solve it at that layer, because it's usually easier and allows for more expressiveness.
But whenever we need more control, we can seamlessly drop down to the lower layer and work there.
I think we need to find a fundamental principle that allows this. But I see barely anyone working on this - instead we keep trying to find higher and higher layers of abstractions (LLMs being the most recent addition) in the hopes they will get rid of the need of dealing with the lower layers. Which is a false hope, I feel.
A good abstraction is e.g. summing a list whose elements are a monoid - summing the list is equivalent to adding up all the elements in a loop. Crucially, this doesn't require you to "forget" the specific type of element that your list has - a bad version of this library would say that your list elements have to be subtypes of some "number" type and the sum of your list came back as a "number", permanently destroying the details of the specific type that it actually is. But with the monoid model your "sum" is still whatever complex type you wanted it to be - you've just summed it up in the way appropriate to that type.
> Here's an example: When you use a compiler, you can work at a higher layer of abstraction (the higher-level language). But, this means you're now locked into that layer of abstraction. By that I mean, you can no longer work at the lower layer (assembly), even if you wanted to. You could in theory of course modify the compiler output after it's been generated, but then you'd have to somehow manually keep that work in sync whenever you want to re-generate. Using an abstraction kinda locks you into that layer.
Just to make sure I understand, you're proposing a constraint that would rule out every compiler in existence today? I feel like overall I think compilers have worked out well, but if I'm not misunderstanding and this is how you actually feel, I guess I at least should comment your audacity, because I don't think I'd be willing to seriously propose something that radical.
What I'm saying is extremely radical and would require rethinking and rebuilding practically everything we have.
However, consider the jump to a C-like language. The key abstraction provided there is the abstraction of infinite local variables. The compiler manages this through a stack, register allocation, and stack spilling to provide the abstraction and consumes your ability to control the registers directly to provide this abstraction. To interface at both levels simultaneously requires the leakage of the implementation details of the abstraction and careful interaction.
What you can do easily is what I call a separable abstraction, a abstraction that can be restricted to just the places it is needed/removed where unneeded. In certain cases in C code you need to do some specific assembly instruction, sequence, or even function. This can be easily done by writing a assembly function that interfaces with the C code via the C ABI. What is happening there is that the C code defines a interface allowing you to drop down or even exit the abstraction hierarchy for the duration of that function. The ease of doing so makes C highly separable and is part of the reason why it is so easy to call out to C, but you hardly ever see anybody calling out to say Java or Haskell.
Of course, that is just one of the many properties of abstractions that can make them easier to use, simpler, and more robust.
It's definitely one of those things that makes C nice for bare metal programming.
If you want to insert assembly snippets inside a C function, many C compilers have an inline assembly feature. For simple snippets, the C compiler can figure it out. For more complex things, you there are ways to tell the C compilers which registers you're using, so it does not step on your toes.
There is no silver bullet; everything is a trade off. Almost all of the time, the trade off is entirely worth it even if that gets you locked into that solution.
Agreed, that's a good thing, in my experience.
> Almost all of the time, the trade off is entirely worth it even if that gets you locked into that solution.
I wish this would match my experience.
I think being locked into a some abstraction is so common place that you don't even consider it being a thing until you have a problem with it. Look at your examples: compilers, libraries, frameworks, etc. As an example, is anyone truly upset that coding in Python locks you into the Python ecosystem? Yet, I've used libraries/frameworks that didn't win the war of popularity and I'm still unfortunately committed. I think there's a bias at play in how we look at these things.
Native-code compilers commonly allow emitting assembly directly, but now your source code isn't portable between CPUs. Many interpreted languages, even most, allow FFI code to be imported, modifying the runtime accordingly, but now your program isn't portable between implementations of that language, and you have to be careful to make sure the behavior you've introduced doesn't mess with other parts of the system in unexpected ways.
Generalizing, it's often possible to drill down beneath the abstraction layer, but there's often an inherent price to be paid, whether it be taking pains to preserve the invariants of the abstraction, losing some of the benefits of it, or both.
There are better and worse versions of this layer, I would point to Lua as a language which is explicitly designed to cross the C/Lua boundary in both directions, and which did a good job of it. But nothing can change the fact that pure-Lua code simply won't segfault, but bring in userdata and it very easily can; the problems posed are inherent.
I spend a lot of time trying to think of something that composes. Monads are one answer.
I think we need advanced term rewriting systems that also optimize and equivalise.
I really enjoy Joel on Software blog posts from this era.
I think we're missing an essential constraint on the way we do abstraction.
My hunch is that this constraint should be that abstractions must be reversible.
Here's an example: When you use a compiler, you can work at a higher layer of abstraction (the higher-level language). But, this means you're now locked into that layer of abstraction. By that I mean, you can no longer work at the lower layer (assembly), even if you wanted to. You could in theory of course modify the compiler output after it's been generated, but then you'd have to somehow manually keep that work in sync whenever you want to re-generate. Using an abstraction kinda locks you into that layer.
I see this problem appearing everywhere:
- Use framework <--> Write from scratch
- Use an ORM <--> Write raw SQL
- Garbage collection <--> Manual memory management
- Using a DSL <--> Writing raw language code
- Cross platform UI framework <--> Native UI code
- ...
I think we're missing a fundamental primitive of abstraction that allows us to work on each layer of abstraction without being locked in.
If you have any thoughts at all on this, please share them here!