139 lines
8 KiB
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139 lines
8 KiB
Text
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---
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title: Why OCaml
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author: hannes
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tags: overview, background
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abstract: a gentle introduction into OCaml
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---
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## Remarks
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- Canopy now sends out appropriate [content type](https://github.com/Engil/Canopy/pull/23) HTTP headers
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- [mirage-http 2.5.2](https://github.com/mirage/mirage-http/releases/tag/v2.5.2) was released to [opam](https://opam.ocaml.org/packages/mirage-http/mirage-http.2.5.2/) which fixes the resource leak
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- regression in [mirage-net-xen 1.6.0](https://github.com/mirage/mirage-net-xen/issues/39), I'm back on 1.4.1
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- I stumbled upon [too large crunch for MirageOS](https://github.com/mirage/mirage/issues/396), no solution apart from using a FAT image ([putting the data into an ELF section](https://github.com/mirage/mirage/issues/489) would solve the issue, if anyone is interested in MirageOS, that'd be a great project to start with)
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- unrelated, [X.509 0.5.2](https://opam.ocaml.org/packages/x509/x509.0.5.2/) fixes [this bug](https://github.com/mirleft/ocaml-x509/commit/1a1476308d24bdcc49d45c4cd9ef539ca57461d2) in certificate chain construction
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## Programming
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For me, programming is fun. I enjoy doing it, every single second. All the way
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from designing over experimenting to debugging why it does not do what I want.
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In the end, the computer is dumb and executes only what you (or code from
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someone else which you rely on) tell it to do.
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To not have to write assembly code manually, programming languages were
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developed as an abstraction. There exist different flavours which vary in
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expressive power and static guarantees. Lots claim to be general purpose or
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systems languages; whether it is convenient to develop in depends on the choices
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the language designer made, and whether there is sufficient tooling around it.
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A language designed decides on the builtin abstraction mechanisms, each of which
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is both a burden and a blessing. They might be interfering (bad design) or
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orthogonal (composable). Another choice is whether the language includes a type
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system, and if the developer might cheat on it. A strong static type system
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allows a developer to encode invariants, without the need to defer to runtime
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assertions. Type systems differ in their expressive power, the new kid on the
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block is [dependent typing](https://en.wikipedia.org/wiki/Dependent_type), which
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allows to encode values in types (list of length 3). Tooling depends purely
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on the community size, natural selection will prevail the useful tools.
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## Why OCaml?
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As already mentioned in [other](https://hannes.nqsb.io/Posts/About)
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[articles](https://hannes.nqsb.io/Posts/OperatingSystem) here, it is a
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combination of large enough community, runtime performance, modularity,
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well-thought abstraction mechanisms, age, and functional features.
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The latter is squishy, I'll try to explain it a bit: you define your concrete
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*data types* as *products* (`int * int` for a pair of integers), *records* (`{
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foo : int ; bar : int }` in case you want to name fields), and compose them by
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using [*algebraic data types*](https://en.wikipedia.org/wiki/Algebraic_data_type). Whenever you have a
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state machine, you can encode the state as an algebraic data type and use a
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`match` to handle the cases. The compiler checks whether your match is complete
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(contains a line for each member of the ADT). Another important aspect of
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functional programming is that you can pass functions to other functions
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(*higher-order functions*). Also, *recursion* is fundamental for functional
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programming (there's no need for one or multiple programming language constructs
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to provide loops), instead functions call themselves (hopefully with some
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decreasing argument, thus they will terminate).
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A real program is boring without *side effects*, such as mutable state and
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input/output. These are the bits which make the program interesting by
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communicating with other systems or humans. They should be isolated and
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explicitly stated (e.g. in the type). Especially algorithm or protocol
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implementations should not handle side effects internally, but leave this to an
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effectful layer on top of it, separating the concerns. Those pure functions
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(which get arguments and return a value, no other way of communication) inside
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preserve [*referential
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transparency*](https://en.wikipedia.org/wiki/Referential_transparency_%28computer_science%29).
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The holy grail is [declarative programing](https://en.wikipedia.org/wiki/Declarative_programming), write *what*
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a program should achieve, not *how to* achieve it (like it is done imperatively).
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OCaml has a object and class system, which I do not use. OCaml also contains
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exceptions (and annoyingly the standard library (e.g. `List.find`) is full of
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them), which I avoid, and libraries should not expose any exception. If your
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processing code might end up in an error state (common for parsers of input
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received via network), return a value of an algebraic data type with two
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constructors, `Ok` and `Error`. In this way, the caller has to handle
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both cases explicitly.
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## Where to start?
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The [OCaml website](https://ocaml.org) contains a [variety of
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tutorials](https://ocaml.org/learn/tutorials/) and examples, including
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[introductionary
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material](https://ocaml.org/learn/tutorials/get_up_and_running.html) how to get
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started with a new library. Editor integration (at least for emacs, vim, and
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atom) via [merlin](https://github.com/the-lambda-church/merlin/wiki) is
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available.
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There are also [programming
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guidelines](https://ocaml.org/learn/tutorials/guidelines.html) available, which
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is worth a read periodically.
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A very good starting book is [OCaml from the very
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beginning](http://ocaml-book.com/) to learn the functional ideas in OCaml (also
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its successor [More
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OCaml](http://ocaml-book.com/more-ocaml-algorithms-methods-diversions/)).
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Another good book is [real world OCaml](https://realworldocaml.org), though it
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is focussed around the "core" library (which I do not recommend due to its
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size).
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[Opam](https://opam.ocaml.org) is the OCaml package manager.
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The [opam repository](https://opam.ocaml.org/packages/) contains over 1000
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libraries. The quality varies, I personally like the small libraries done by
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[Daniel Bünzli](http://erratique.ch/software), as well as our
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[nqsb](https://nqsb.io) libraries (see [mirleft](https://github.com/mirleft)),
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[notty](https://github.com/pqwy/notty). A concise library (not much code),
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including tests, documentation, etc. is
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[hkdf](https://github.com/hannesm/ocaml-hkdf). For testing I currently prefer
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[alcotest](https://github.com/mirage/alcotest). For cooperative tasks,
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[lwt](https://github.com/ocsigen/lwt) is decent (though a bit convoluted by
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integrating too much).
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I try to stay away from big libraries such as ocamlnet, core, extlib, batteries.
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When I develop a library I rather not force any use to depend on such a large
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code base. Since opam is widely used, distributing libraries became easier,
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thus the trend is towards small libraries (such as
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[astring](http://erratique.ch/software/astring) and
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[ptime](http://erratique.ch/software/ptime).
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What is needed depends on your concrete use case or plan. There are lots of
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issues in lots of libraries, the MirageOS project also has a [list of
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projects](https://github.com/mirage/mirage-www/wiki/Pioneer-Projects) which
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would be useful. I personally would like to have a native [simple
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authentication and security layer (SASL)](https://tools.ietf.org/html/rfc4422)
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implementation in OCaml (amongst other things, such as using an [ELF section for
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data](https://github.com/mirage/mirage/issues/489), and
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[strtod](https://github.com/mirage/mirage-platform/issues/118)).
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A [dashboard](https://github.com/rudenoise/mirage-dashboard) for MirageOS is
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under development, which will hopefully ease tracking of MirageOS active
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development. I setup an [atom
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feed](https://github.com/miragebot.private.atom?token=ARh4hnusZ1kC_bQ_Q6_HUzQteEEGTqy8ks61Fm2LwA==)
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which watches several MirageOS-related repositories.
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I hope I gave some insight into OCaml. I'm interested in feedback, either via
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[twitter](https://twitter.com/h4nnes) or as an issue on the [data repository on
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GitHub](https://github.com/hannesm/hannes.nqsb.io/issues).
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