package sel
Install
Dune Dependency
Authors
Maintainers
Sources
sha256=00c55c1d0fa2daa7c625d7fc598afea3bb17b7c52ea692aa52f5e0518a26df63
sha512=66b58ad4f8ac591205e7a46f81fb41095aa4f65486170716321c717cc0baf1f2f4aa1ece61ca8566b5d97212fe188ad32b9d82a9b954603fc41dc698578b6409
README.md.html
SEL : Simple Event Library
This library is the result of our experience in using threads and the Lwt async monad to tame the problem of writing a server which has to listen and react to multiple sources of events.
SEL's approach
SEL is the old boring loop around Unix.select
. Yes, it is not trendy.
The bad point is that you have to "reify" the state around the interruptible points of computation. With threads it's the OS that does it for you saving the stack. With Lwt you write a thunk, a closure, which is not very different. With SEL you craft an ADT of the events and the constructors have to carry all you need in order to handle that event. Event handlers can generate new events, which are put in the pool of events which are eventually ready to be handled later on.
let rec loop evs =
let ready, waiting = Sel.wait evs in
let new_evs_l = List.map handle_event ready in
loop (waiting @ List.concat new_evs_l)
Like a monad, the types force you to thread the list of new events back to Sel.wait
but there is no other "viral" effect.
Dispatching is not automatic, it's your handle_event
that does it.
type event =
| NotForMe of OtherComponent.event
| Echo of string
| EchoError
let echo : event Sel.event =
Sel.on_line Unix.stdin (function
| Ok s -> Echo s
| Error _ -> EchoError)
let handle_event = function
| NotForMe e ->
OtherComponent.handle_event e |>
List.map (Sel.map (fun x -> NotForMe x))
| Echo text ->
Printf.printf "echo: %s\n" text;
[echo]
| EchoError ->
Printf.eprintf "oops\n";
exit 1
In the example the current module is in charge of the Echo
event, and passes the ball to OtherComponent
to handle its events. The echo
value generates an Echo
event as soon as one line is readable from Unix.stdin
. The Echo
constructor has to carry all the data that is needed in order to handle that event, in this case it is just a string. Handling an event can schedule new events for later, for example handling Echo
schedules another identical event.
let main () =
loop [echo; ...]
That is all, for the good and the bad. One has to write some boring code, like injecting the events of the other component into the NotForMe
event, so that dispatching can pass the ball correctly.
SEL provides a few Sel.on_*
APIs to create events on which one can wait. For example the death of a process, or an HTTP Content-Length encoded request, or some item in a Queue, or some marhaled OCaml value. All these APIs take a function to inject the actual data that comes with the event inside the appropriate ADT constructor representing the event ready to be handled.
Blocking calls are not forced to go trough SEL. You can read and write freely while handling an event. It is up to you to avoid long or blocking computations and to preserve some fairness. You can artificially split a computation in steps and pass the ball to the scheduler by creating event with Sel.now
, which Sel.wait
will find to be immediately ready together with all the other events that happen to be ready.
Really? Yes, it is not intriguing intellectually speaking, but you can get some fairness (which you don't get via threads nor Lwt) and you can actually interrupt one of these split computations since Sel.wait
gives you all the events that are ready, so if the user sends a stop request you can look if both Stop
and ContinueSplitComputation
are in the ready
list and take action. Nor threads nor Lwt have a good story about cancellation, not to talk about a Sys.Break
exception being raise where you don't expect it.
SEL is just some sugar atop Unix.select
and is a single .ml
file with no C code.
Authors
SEL was written by Enrico Tassi for the VSCoq 2 language server. SEL is released under the terms of the MIT license.
Why SEL?
This library is the result of our experience in using threads and the Lwt async monad to tame the problem of writing a server which has to listen and react to multiple sources of events.
Threads
Threads help you with that because you can have multiple threads, one per event source. Our experience with OCaml threads is that their scheduling is not fair, so one thread doing some computations can prevent the others from advancing. Calling sleep here and there to recover fairness was sad.
We also faced a few bugs, some solved by now, where a thread would not wake up even if some data was available in its event source. Threads are nice since the context in which a thread is paused is saved for you, you can suspend in the middle of a complex piece of code very easily, actually it's transparent, you have to do nothing to be suspended (at least in theory, barring an unfair scheduler). OCaml threads do not run in parallel as of now. Moreover our target application, Coq, has a lot of global state, so threads can anyway only be used to deal with blocking reads, not to gain much performance. Or at least, not without doing a lot of work. Threads are part of OCaml's standard distribution, no external dependency.
Lwt
The Lwt monad forces you to chop your code in thunks, continuations, you pass to a quite extensive API taking care of scheduling and calling continuations when the data is actually ready. Monads are "viral", you have to push the monad all over the place if you want to take advantage of of Lwt.
Lwt is also a bit viral, it wants to take over many things behind the scenes. For example we had troubles using fork
. Reasoning about Lwt is supposed to be simple, but soon it is not. Yes, you can predict when things run, but then you start to have detached promises and some of the "randomness" threads have appears again. Lwt is well maintained, but it is an external dependency with C code you may not want to maintain yourself if things go south. After a while our code started to use less and less Lwt features, at some point we even dropped promises. What was left was a loop around a single wait, hence SEL.