/riot

An actor-model multi-core scheduler for OCaml 5 🐫

Primary LanguageOCamlMIT LicenseMIT

riot

An actor-model multi-core scheduler for OCaml 5.

Riot is an actor-model multi-core scheduler for OCaml 5. It brings Erlang-style concurrency to the language, where lighweight process communicate via message passing.

open Riot
type Message.t += Hello_world

let () =
  Riot.run @@ fun () ->
  let pid =
    spawn (fun () ->
        match receive () with
        | Hello_world ->
            Logger.info (fun f -> f "hello world from %a!" Pid.pp (self ())))
  in
  send pid Hello_world

At its core Riot aims to offer:

  • Automatic multi-core scheduling – when you spawn a new Riot process, it will automatically get allocated on a random scheduler.

  • Lightweight processes – spawn 10 or 10,000 processes as you see fit.

  • Fast, type-safe message passing

  • Selective receive expressions – when receiving messages, you can skim through a process mailbox to consume them in arbitrary order.

  • Process links and monitors to keep track of the lifecycle of processes

Riot also includes:

  • Supervisors to build process hierarchies

  • Logging designed to be multicore friendly

Non-goals

At the same time, there's a few things that Riot is not, and does not aim to be.

Primrarily, Riot is not a full port of the Erlang VM and it won't support several of its use-cases, like:

  • supporting Erlang or Elixir bytecode
  • hot-code reloading in live applications
  • function-call level tracing in live applications
  • ad-hoc distribution

Quick Start

git clone https://github.com/leostera/riot
cd riot
opam install .

After that, you can use any of the examples as a base for your app, and run them:

dune exec ./my_app.exe

Acknowledgments

Riot is the continuation of the work I started with Caramel, an Erlang-backend for the OCaml compiler.

It was heavily inspired by eio by the OCaml Multicore team and miou by Calascibetta Romain and the Robur team, as I learned more about Algebraic Effects. In particular the Proc_state is based on the State module in Miou.

And a thousand thanks to Calascibetta Romain and Antonio Monteiro for the discussions and feedback.