Module Throttle = Async_kernel.Throttle


module T2 : sig .. end
We use a phantom type to distinguish between throttles, which have max_concurrent_jobs >= 1, and sequencers, which have max_concurrent_jobs = 1.
type 'a t = ('a, [
| `throttle
]) T2.t
val sexp_of_t : ('a -> Sexplib.Sexp.t) -> 'a t -> Sexplib.Sexp.t
include Core_kernel.Std.Invariant.S1 with type 'a t := 'a t
type 'a t
val invariant : 'a Invariant_intf.inv -> 'a t Invariant_intf.inv
val create : continue_on_error:bool -> max_concurrent_jobs:int -> unit t

create ~continue_on_error ~max_concurrent_jobs returns a throttle that will run up to max_concurrent_jobs concurrently.

If some job raises an exception, then the throttle will be killed, unless continue_on_error is true.

val create_with : continue_on_error:bool -> 'a list -> 'a t

create_with ~continue_on_error job_resources returns a throttle that will run up to List.length job_resources concurrently, and will ensure that all running jobs are supplied distinct elements of job_resources.

type 'a outcome = [
| `Ok of 'a
| `Aborted
| `Raised of exn
val sexp_of_outcome : ('a -> Sexplib.Sexp.t) -> 'a outcome -> Sexplib.Sexp.t
val enqueue' : ('a, _) T2.t -> ('a -> 'b Deferred.t) -> 'b outcome Deferred.t

enqueue t job schedules job to be run as soon as possible. Jobs are guaranteed to be started in the order they are enqueued and to not be started during the call to enqueue. If t is dead, then job will be immediately aborted (for enqueue this will send an exception to the monitor in effect).

val enqueue : ('a, _) T2.t -> ('a -> 'b Deferred.t) -> 'b Deferred.t
val monad_sequence_how : ?how:Async_kernel.Monad_sequence.how -> f:('a -> 'b Deferred.t) -> ('a -> 'b Deferred.t) Core_kernel.Std.Staged.t

monad_sequence_how ~how ~f returns a function that behaves like f, except that it uses a throttle to limit the number of concurrent invocations can be running simultaneously. The throttle has continue_on_error = false.

val monad_sequence_how2 : ?how:Async_kernel.Monad_sequence.how -> f:('a1 -> 'a2 -> 'b Deferred.t) -> ('a1 -> 'a2 -> 'b Deferred.t) Core_kernel.Std.Staged.t
val prior_jobs_done : (_, _) T2.t -> unit Deferred.t

prior_jobs_done t becomes determined when all of the jobs that were previously enqueued in t have completed.

val max_concurrent_jobs : (_, _) T2.t -> int

max_concurrent_jobs t returns the maximum number of jobs that t will run concurrently.

val num_jobs_running : (_, _) T2.t -> int

num_jobs_running t returns the number of jobs that t is currently running. It is guaranteed that if num_jobs_running t < max_concurrent_jobs t then num_jobs_waiting_to_start t = 0. That is, the throttle always uses its maximum concurrency if possible.

val num_jobs_waiting_to_start : (_, _) T2.t -> int

num_jobs_waiting_to_start t returns the number of jobs that have been enqueued but have not yet started.

val capacity_available : (_, _) T2.t -> unit Deferred.t

capacity_available t becomes determined the next time that t has fewer than max_concurrent_jobs t running, and hence an enqueued job would start immediately.

val kill : (_, _) T2.t -> unit

kill t kills t, which aborts all enqueued jobs that haven't started and all jobs enqueued in the future. kill also initiates the at_kill clean functions.

If t has already been killed, then calling kill t has no effect.

val is_dead : (_, _) T2.t -> bool

is_dead t returns true if t was killed, either by kill or by an unhandled exception in a job.

val at_kill : ('a, _) T2.t -> ('a -> unit Deferred.t) -> unit

at_kill t clean runs clean on each resource when t is killed, either by kill or an unhandled exception. clean is called on each resource as it becomes available, i.e. immediately if the resource isn't currently in use, otherwise when the job currently using the resource finishes. If a call to clean fails, the exception is raised to the monitor in effect when at_kill was called.

val cleaned : (_, _) T2.t -> unit Deferred.t

cleaned t becomes determined after t is killed and all of its at_kill clean functions have completed.

module Sequencer : sig .. end
A sequencer is a throttle that is specialized to only allow one job at a time and to, by default, not continue on error.