package riot
Install
Dune Dependency
Authors
Maintainers
Sources
sha256=724fedaf9a349ca17858d8233ce0c7835fed95a2afd49b6e620a987c8219efc4
sha512=c83a6c51f89583d0b171901618d81894b38376b8ad2bea901de4d9ab4511b8008cca76302278a69a202157e9c379f2802392c4e17046d0ec2843052dc0610b3e
README.md.html
README.md
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.