5 ms·
I love this talk, but it does throw out a lot of complicated ideas somewhat loosely, so I get why reactions and interpretations are all over the place. I think
by carljv 9y ago
I love this talk, but it does throw out a lot of complicated ideas somewhat loosely, so I get why reactions and interpretations are all over the place.
I think a good companion to understanding this better is Rich's talk on "The Language of the System" (https://www.youtube.com/watch?v=ROor6_NGIWU&t=2810s https://www.youtube.com/watch?v=ROor6_NGIWU&t=2810s).
I interpret his overarching thesis as this:
Most "situated" programs are in the business of processing information according to complex and changing rules, in cooperation with other programs (i.e., a system). Many languages, though, are overly-concerned with how they represent data internally: classes, algebraic types, etc. This "parochialism", he calls it and "concretion" about how data aggregates should work, make them hard to adapt when the rules, data, or other parts of the system change, and make it hard for their programs to work in systems. At some point your Java class or Haskell ADT has to communicate its data to other programs that have no notion of these things. So you end up w/ a ton of surface area in your code with mappers and marshallers totally unrelated to the content of the data and purpose of the program.
The idea behind Clojure is to provide easy access to simple, safe, and relatively universal structures for holding data, and a library of functions to manipulate those structures. Its "big picture" design bits are about providing semantics for multiple "programs" (from threads to services) in a system to operate on data robustly and reasonably (concurrency semantics, time and identity models, pervasive unadorned data, etc.) At some point you're going to be sending this program's data over a wire to another program, and things like "a map of strings and numbers" is pretty straightforward to transport, while a sum type implementing functor with a record data constructor that contains a Maybe SSN is not. It overly couples the underlying data to the language's representation.
The plus side of doing this is that the language can check internal consistency for you. The downside is that you're carrying a lot of baggage that you can't take with you over the wire anyway. Communication in systems is also why Rich thinks making "names" for data first class is important. Existing strongly typed languages can sort of accommodate this, but don't really privilege names.
So I think a lot of strong typing advocates are upset because they think Rich is saying types don't have value within programs. I don't think that's right. I think he's saying they have very limited value in open systems, which makes their costs often overwhelm their benefits in the individual programs within those systems.
In general, I feel like the debate has been about examining Rich's claims in the context of programs (is Maybe String good or bad, etc.), whereas he's really interested in what works in systems. I think that's indicated by his focus on the term "parochialism" which I have not seen a lot of folks address.
- dragonwriter 9y ago> Most "situated" programs are in the business of processing information according to complex and changing rules, in cooperation with other programs (i.e., a system). Many languages, though, are overly-concerned with how they represent data internally: classes, algebraic types, etc. This "parochialism", he calls it and "concretion" about how data aggregates should work, make them hard to adapt when processing rules change, and make it hard for their programs to work in systems. It doesn't if the systems are well-designed sytems, comprised of loosely-coupled components, something like you'd get if you used 1970s structured analysis and then actually modeled the implementation closely on the DFD with communication over a message bus with a fairly neutral messaging format. When you start tightly coupling components (e.g., by using a messaging format tightly bound to an internal representation), using ad-hoc component-to-component integration rather than a common message bus that is abstracted from the individual components, and generally do the system engineering badly, then you have a whole pile of problems, some of which are exacerbated (but not caused) by static typing, sure. By static typing is not the problem here.
- wellpast 9y ago> It doesn't if the systems are well-designed sytems, comprised of loosely-coupled components I've been going down a similar line of thought. But I went the other direction. That perhaps in "poorly designed" systems where there is lots of coupling, static typing at least gives you the "maintenance" benefit that is one of the bigger justifications that the static type apologist tends to give. You actually hear this a lot: "in large systems, static typing is a must..." So it's interesting to me that you're going the other way and saying that actually in big, messy systems that static types may hurt you. That's not a common position. When I walk through some of the big problems in "poorly designed" systems it almost always comes down to coupling: I can't touch one part of the system without having an effect on other parts of the system. Interestingly, Rich Hickey criticizes the common static typer's idioms (like pattern matching and ADTs) as coupling. And he's right. What always surprises me though is that the static typer doesn't disagree -- they look at this coupling as a feature! They usually say something along the lines of "I choose static typing because if I change my Person class, then the compiler reminds me of all the places in my code that I need to go fix." What's remarkable about this is that it's not a reminder...it's an obligation that your choices plus the compiler are burdening you with: you must go update all those places in the code. This is the very definition of coupling. There is a way to architect code such that you don't have to revisit 100 places in your architecture when some new data model decision is made/discovered. There is a way to build systems wherein you only have to touch one place in your code when some new feature or data information is needed.