Threading model:
Only one thread is running Async code at a time. This is enforced by a single lock in
Async's scheduler data structure. There are any number of threads running code
without holding the lock that get data from the outside world and want to affect the
Async world. They do this by calling Thread_safe.run_in_async*
, which acquires the
lock, does a computation (e.g. fills an ivar), and then runs a "cycle" of Async
computations.
include sig ... end
val sexp_of_t : t ‑> Sexplib.Sexp.t
val t : unit ‑> t
t ()
returns the Async scheduler. If the scheduler hasn't been created yet, this
will create it and acquire the Async lock.
val go : ?raise_unhandled_exn:bool ‑> unit ‑> Core.never_returns
go ?raise_unhandled_exn ()
passes control to Async, at which point Async starts
running handlers, one by one without interruption, until there are no more handlers to
run. When Async is out of handlers it blocks until the outside world schedules more
of them. Because of this, Async programs do not exit until shutdown
is called.
go ()
calls handle_signal Sys.sigpipe
, which causes the SIGPIPE signal to be
ignored. Low-level syscalls (e.g. write) still raise EPIPE.
If any Async job raises an unhandled exception that is not handled by any monitor,
Async execution ceases. Then, by default, Async pretty prints the exception, and
exits with status 1. If you don't want this, pass ~raise_unhandled_exn:true
, which
will cause the unhandled exception to be raised to the caller of go ()
.
val go_main : ?raise_unhandled_exn:bool ‑> ?file_descr_watcher:Async_unix__.Config.File_descr_watcher.t ‑> ?max_num_open_file_descrs:int ‑> ?max_num_threads:int ‑> main:(unit ‑> unit) ‑> unit ‑> Core.never_returns
go_main
is like go
, except that one supplies a main
function that will be run to
initialize the Async computation, and that go_main
will fail if any Async has been
used prior to go_main
being called. Moreover it allows to configure more static
options of the scheduler.
type 'a with_options
= ?monitor:Async_unix__.Import.Monitor.t ‑> ?priority:Async_unix__.Import.Priority.t ‑> 'a
val current_execution_context : unit ‑> Async_unix__.Import.Execution_context.t
val within_context : Async_unix__.Import.Execution_context.t ‑> (unit ‑> 'a) ‑> ('a, unit) Core.Result.t
within_context context f
runs f ()
right now with the specified execution
context. If f
raises, then the exception is sent to the monitor of context
, and
Error ()
is returned.
val within' : ((unit ‑> 'a Async_unix__.Import.Deferred.t) ‑> 'a Async_unix__.Import.Deferred.t) with_options
within' f ~monitor ~priority
runs f ()
right now, with the specified
block group, monitor, and priority set as specified. They will be reset to their
original values when f
returns. If f
raises, then the result of within'
will
never become determined, but the exception will end up in the specified monitor.
val within : ((unit ‑> unit) ‑> unit) with_options
within
is like within'
, but doesn't require the thunk to return a deferred.
val within_v : ((unit ‑> 'a) ‑> 'a option) with_options
within_v
is like within
, but allows a value to be returned by f
.
val with_local : 'a Core.Univ_map.Key.t ‑> 'a option ‑> f:(unit ‑> 'b) ‑> 'b
with_local key value ~f
, when run in the current execution context, e
, runs f
right now in a new execution context, e'
, that is identical to e
, except that
find_local key = value
. As usual, e'
will be in effect in asynchronous
computations started by f
. When with_local
returns, the execution context is
restored to e
.
val find_local : 'a Core.Univ_map.Key.t ‑> 'a option
find_local key
returns the value associated to key
in the current execution
context.
val schedule' : ((unit ‑> 'a Async_unix__.Import.Deferred.t) ‑> 'a Async_unix__.Import.Deferred.t) with_options
Just like within'
, but instead of running the thunk right now, adds
it to the Async queue to be run with other Async jobs.
val schedule : ((unit ‑> unit) ‑> unit) with_options
Just like schedule', but doesn't require the thunk to return a deferred.
val preserve_execution_context : ('a ‑> unit) ‑> ('a ‑> unit) Core.Staged.t
preserve_execution_context t f
saves the current execution context and returns a
function g
such that g a
runs f a
in the saved execution context. g a
becomes
determined when f a
becomes determined.
val preserve_execution_context' : ('a ‑> 'b Async_unix__.Import.Deferred.t) ‑> ('a ‑> 'b Async_unix__.Import.Deferred.t) Core.Staged.t
val cycle_start : unit ‑> Core.Time.t
cycle_start ()
returns the result of Time.now ()
called at the beginning of
cycle.
val cycle_start_ns : unit ‑> Core.Time_ns.t
val cycle_times : unit ‑> Core.Time.Span.t Async_unix__.Import.Stream.t
cycle_times ()
returns a stream that is extended with an element at the start of
each Async cycle, with the amount of time that the previous cycle took, as determined
by calls to Time.now
at the beginning and end of the cycle.
val cycle_times_ns : unit ‑> Core.Time_ns.Span.t Async_unix__.Import.Stream.t
val long_cycles : at_least:Core.Time_ns.Span.t ‑> Core.Time_ns.Span.t Async_unix__.Import.Stream.t
long_cycles ~at_least
returns a stream of cycles whose duration is at least
at_least
. long_cycles
is more efficient than cycle_times
because it only
allocates a stream entry when there is a long cycle, rather than on every cycle.
val report_long_cycle_times : ?cutoff:Core.Time.Span.t ‑> unit ‑> unit
report_long_cycle_times ?cutoff ()
sets up something that will print a warning to
stderr whenever there is an Async cycle that is too long, as specified by cutoff
,
whose default is 1s.
val cycle_count : unit ‑> int
cycle_count ()
returns the total number of Async cycles that have happened.
val event_precision : unit ‑> Core.Time.Span.t
The alarm_precision
of the timing-wheel used to implement Async's Clock
.
val event_precision_ns : unit ‑> Core.Time_ns.Span.t
val force_current_cycle_to_end : unit ‑> unit
force_current_cycle_to_end ()
causes no more normal priority jobs to run in the
current cycle, and for the end-of-cycle jobs (i.e. writes) to run, and then for the
cycle to end.
val set_max_num_jobs_per_priority_per_cycle : int ‑> unit
set_max_num_jobs_per_priority_per_cycle int
sets the maximum number of jobs that
will be done at each priority within each Async cycle. The default is 500
.
max_num_jobs_per_priority_per_cycle
retrieves the current value.
val set_max_inter_cycle_timeout : Core.Time.Span.t ‑> unit
set_max_inter_cycle_timeout span
sets the maximum amount of time the scheduler will
remain blocked (on epoll or select) between cycles.
val set_check_invariants : bool ‑> unit
set_check_invariants do_check
sets whether Async should check invariants of its
internal data structures. set_check_invariants true
can substantially slow down
your program.
val set_detect_invalid_access_from_thread : bool ‑> unit
set_detect_invalid_access_from_thread do_check
sets whether Async routines should
check if they are being accessed from some thread other than the thread currently
holding the Async lock, which is not allowed and can lead to very confusing
behavior.
val set_record_backtraces : bool ‑> unit
set_record_backtraces do_record
sets whether Async should keep in the execution
context the history of stack backtraces (obtained via Backtrace.get
) that led to the
current job. If an Async job has an unhandled exception, this backtrace history will
be recorded in the exception. In particular the history will appear in an unhandled
exception that reaches the main monitor. This can have a substantial performance
impact, both in running time and space usage.
fold_fields ~init folder
folds folder
over each field in the scheduler. The
fields themselves are not exposed -- folder
must be a polymorphic function that
can work on any field. So, it's only useful for generic operations, e.g. getting
the size of each field.
val fold_fields : init:'b ‑> 'b folder ‑> 'b
val reset_in_forked_process : unit ‑> unit
If a process that has already created, but not started, the Async scheduler would like
to fork, and would like the child to have a clean Async, i.e. not inherit any of the
Async work that was done in the parent, it can call reset_in_forked_process
at the
start of execution in the child process. After that, the child can do Async stuff and
then start the Async scheduler.
val make_async_unusable : unit ‑> unit
make_async_unusable ()
makes subsequent attempts to use the Async scheduler raise.
One use of make_async_unusable
is if one forks from a process already running the
Async scheduler, and one wants to run non-Async OCaml code in the child process, with
the guarantee that the child process does not use Async.
val add_busy_poller : (unit ‑> [ `Continue_polling | `Stop_polling of 'a ]) ‑> 'a Async_unix__.Import.Deferred.t
Async supports "busy polling", which runs a thread that busy loops running user-supplied polling functions. The busy-loop thread is distinct from Async's scheduler thread.
Busy polling is useful for a situation like a shared-memory ringbuffer being used for IPC. One can poll the ringbuffer with a busy poller, and then when data is detected, fill some ivar that causes Async code to handle the data.
add_busy_poller poll
adds poll
to the busy loop. poll
will be called
continuously, once per iteration of the busy loop, until it returns `Stop_polling a
at which point the result of add_busy_poller
will become determined. poll
will
hold the Async lock while running, so it is fine to do ordinary Async operations,
e.g. fill an ivar. The busy loop will run an ordinary Async cycle if any of the
pollers add jobs.
poll
will run in monitor in effect when add_busy_poller
was called; exceptions
raised by poll
will be sent asynchronously to that monitor. If poll
raises, it
will still be run on subsequent iterations of the busy loop.
val handle_thread_pool_stuck : (stuck_for:Core.Time_ns.Span.t ‑> unit) ‑> unit
handle_thread_pool_stuck f
causes f
to run whenever Async detects its thread pool
is stuck (i.e. hasn't completed a job for over a second and has work waiting to
start). Async checks every second. By default, if thread pool has been stuck for
less than 60s, Async will eprintf
a message. If more than 60s, Async will send an
exception to the main monitor, which will abort the program unless there is a custom
handler for the main monitor.
Calling handle_thread_pool_stuck
replaces whatever behavior was previously there.
val default_handle_thread_pool_stuck : stuck_for:Core.Time_ns.Span.t ‑> unit
val yield : unit ‑> unit Async_unix__.Import.Deferred.t
yield ()
returns a deferred that becomes determined after the current cycle
completes. This can be useful to improve fairness by yield
ing within a computation
to give other jobs a chance to run.
val yield_until_no_jobs_remain : unit ‑> unit Async_unix__.Import.Deferred.t
yield_until_no_jobs_remain ()
returns a deferred that becomes determined the next
time Async's job queue is empty. This is useful in tests where one needs to wait for
the completion of all the jobs based on what's in the queue, but those jobs might
create other jobs not depend on I/O or the passage of wall-clock time.
val yield_every : n:int ‑> (unit ‑> unit Async_unix__.Import.Deferred.t) Core.Staged.t
yield_every ~n
returns a function that will act as yield
every n
calls and as
return ()
the rest of the time. This is useful for improving fairness in
circumstances where you don't have good control of the batch size, but can insert a
deferred into every iteration.
yield_every
raises if n <= 0
.
val time_spent_waiting_for_io : unit ‑> Core.Time_ns.Span.t
time_spent_waiting_for_io ()
returns the amount of time that the Async scheduler has
spent in calls to epoll_wait
(or select
) since the start of the program.
val set_min_inter_cycle_timeout : Core.Time_ns.Span.t ‑> unit
set_min_inter_cycle_timeout
sets the minimum timeout that the scheduler will pass to
the OS when it checks for I/O between cycles. The minimum is zero by default.
Setting it to a nonzero value is used to increase thread fairness between the
scheduler and other threads. A plausible setting is 10us. This can also be set via
the ASYNC_CONFIG
environment variable.
val set_may_sleep_for_thread_fairness : bool ‑> unit
may_sleep_for_thread_fairness
controls whether the scheduler calls nanosleep
each
cycle to give other threads a chance to run. The default is false
.
val num_jobs_run : unit ‑> int
num_jobs_run ()
returns the number of jobs that have been run since starting. The
returned value includes the currently running job.
module Expert : sig ... end