include sig ... end
val sexp_of_t : ('a ‑> Sexplib.Sexp.t) ‑> ('phantom ‑> Sexplib.Sexp.t) ‑> ('a, 'phantom) t ‑> Sexplib.Sexp.t
include sig ... end
val sexp_of_pipe : ('a ‑> Sexplib.Sexp.t) ‑> ('phantom ‑> Sexplib.Sexp.t) ‑> ('a, 'phantom) pipe ‑> Sexplib.Sexp.t
These provide reader- and writer-specific types for the base pipe type.
module Writer : sig ... end
module Reader : sig ... end
val create_reader : close_on_exception:bool ‑> ('a Writer.t ‑> unit Deferred.t) ‑> 'a Reader.t
create_reader ~close_on_exception f
creates a new pipe, applies f
to its writer
end, and returns its reader end. create_reader
closes the writer end when the
result of f
becomes determined. If f
raises, then the exception is raised
to the caller of create_reader
. Whether or not create_reader
closes the writer
end upon f
raising is determined by close_on_exception
.
Choosing ~close_on_exception:false
is recommended, because normally closing the
write end of a pipe is taken to mean that the writer completed successfully. With
close_on_exception:true
, the caller will both see the pipe closed and an exception
will be raised to the monitor in effect when create_reader
was called. There is a
race between those two actions, which can easily lead to confusion or bugs.
create_writer
is symmetric. It creates a new pipe, applies f
to its reader end,
and returns its writer end. init
calls close_read
when the result of f
becomes
determined. If f
raises, create_writer
closes the pipe and raises the exception
to the caller of create_writer
. create_writer
closes on exception, unlike
create_reader
because closing closing the read end of a pipe is a signal to the
writer that the consumer has failed.
val create_writer : ('a Reader.t ‑> unit Deferred.t) ‑> 'a Writer.t
val init : ('a Writer.t ‑> unit Deferred.t) ‑> 'a Reader.t
create ()
creates a new pipe. It is preferable to use create_reader
or
create_writer
instead of create
, since they provide exception handling and
automatic closing of the pipe.
val of_list : 'a list ‑> 'a Reader.t
of_list l
returns a closed pipe reader filled with the contents of l
.
val unfold : init:'s ‑> f:('s ‑> ('a * 's) option Deferred.t) ‑> 'a Reader.t
unfold ~init ~f
returns a pipe that it fills with 'a
s by repeatedly applying f
to values of the state type 's
. When f
returns None
, the resulting pipe is
closed. unfold
respects pushback on the resulting pipe. If f
raises, then the
pipe is not closed.
For example, to create a pipe of natural numbers:
Pipe.unfold ~init:0 ~f:(fun n -> return (Some (n, n+1)))
val of_sequence : 'a Core_kernel.Sequence.t ‑> 'a Reader.t
of_sequence sequence
returns a pipe reader that gets filled with the elements of
sequence
. of_sequence
respects pushback on the resulting pipe.
to_sequence reader
returns a sequence that can be consumed to extract values from
reader
. If Wait_for d
is returned the consumer must wait for d
to become
determined before pulling the next value. Repeatedly asking for the next value
without waiting on d
will infinite loop.
val to_sequence : 'a Reader.t ‑> 'a to_sequence_elt Core_kernel.Sequence.t
val close : _ Writer.t ‑> unit
close t
closes the write end of the pipe:
`Eof
.`Eof
.Thus, after a pipe has been closed, reads never block.
Close is idempotent.
close_read t
closes both the read and write ends of the pipe. It does everything
close
does, and in addition:
`Reader_closed
.`Eof
val close_read : _ Reader.t ‑> unit
val is_closed : (_, _) t ‑> bool
is_closed t
returns true
iff close t
or close_read t
has been called.
val closed : (_, _) t ‑> unit Deferred.t
closed t
returns a deferred that becomes determined when close t
or close_read t
is called.
module Flushed_result : sig ... end
val upstream_flushed : (_, _) t ‑> Flushed_result.t Deferred.t
Deferreds returned by upstream_flushed
and downstream_flushed
become determined
when all values written prior to the call have been consumed, or if the reader end of
the pipe is closed. The difference between "upstream" and "downstream" comes if one
has a chain of pipes that are linked (e.g. by Pipe.map
):
P1 --> P2 --> P3
Calling downstream_flushed P2
ensures that everything in P2 has made it out of P3.
Calling upstream_flushed P2
ensures that everything in P1 has made it out of P3.
More generally, downstream_flushed
starts at the current pipe and follows the chain
to the final downstream consumer(s). upstream_flushed
follows the chain to the
initial upstream pipe(s), and then calls downstream_flushed
.
For a pipe in isolation, "consumed" means "read from the pipe". However, for pipes
linked together with transfer
or any function built from transfer
, "consumed"
means "propagated all the way downstream through the chain and read from the final
pipe in the chain". Furthermore, for a pipe ultimately connected to an
Async.Writer
, "consumed" means the OS write() system call has completed on the bytes
read from the final pipe in the chain.
The following Pipe
functions automatically link their input and output pipes
together so that *_flushed
on upstream pipes will propagate to downstream pipes:
transfer*
, map*
, filter_map*
, filter
, interleave
, concat
. There is *not*
automatic linking with iter*
; however, user code can customize the behavior of
flush functions using Consumer
, see below.
val downstream_flushed : (_, _) t ‑> Flushed_result.t Deferred.t
module Consumer : sig ... end
val add_consumer : _ Reader.t ‑> downstream_flushed:(unit ‑> Flushed_result.t Deferred.t) ‑> Consumer.t
add_consumer reader ~downstream_flushed
creates a new consumer of reader
, and
causes future calls to flushed_downstream reader
to take this consumer into account.
Thereafter, Pipe.flushed_downstream reader
will first ensure that values previously
written to reader
have been read, then that they have been sent downstream by the
consumer that read them, and finally that they have been flushed downstream.
One should only supply the resulting consumer to read operations on reader
. Using
a consumer created from one reader with another reader will raise an exception.
These operations apply to all values of type (_, _) t
, that is, both readers and
writers.
The write operations return a deferred value that is determined when either (1) it is OK to write again to the pipe or (2) the pipe has been closed. This deferred is the data-producer's interface to the pipe pushback mechanism: it tells the producer when it should proceed after doing a write -- either to produce and write more data to the pipe, or to abandon production entirely. The pushback mechansim is just advisory: a producer task can, but typically should not, dump arbitrary amounts of data into a pipe even if there is no consumer draining the pipe.
Producers that write a sequence of values to a pipe should be aware that the consumers
who read from the pipe can close the pipe early -- that is, before the producer has
finished doing all of its writes. If this happens, further writes will raise an
exception. To avoid these errors, all writes must be atomically guarded by
is_closed
tests. Thus, a typical writer loop should look like this:
fun countup hi w = (* Send the ints in range [0,hi) to writer W. *)
let rec loop i =
if i < hi and not (is_closed w) then (* Guard write w/closed test. *)
write i w >>> (* Do the write then block until datum *)
fun () -> loop (i+1) (* fits or the pipe is closed. *)
else close w (* No harm done if reader has already closed the pipe.*)
in
loop 0
If the pipe's consumer stops reading early and closes the pipe, countup
won't error
out trying to write further values down the pipe: it will immediately wake up and
exit.
val pushback : 'a Writer.t ‑> unit Deferred.t
pushback writer
becomes determined when either writer
has been closed or
the pipe can accept a new write.
val write : 'a Writer.t ‑> 'a ‑> unit Deferred.t
write writer a
enqueues a
in writer
, returning a pushback deferred, as described
above.
transfer_in writer ~from:q
transfers the elements from q
into writer
, leaving
q
empty, and returning a pushback deferred.
write_without_pushback
and transfer_in_without_pushback
are alternatives to
transfer_in
and write
that can be used when you don't care about the pushback
deferred. They add data to the pipe and return immediately.
The following equivalences hold:
write t a = write_without_pushback t a; pushback t
transfer_in t ~from = transfer_in_without_pushback t ~from; pushback t
If is_closed writer
, then all of these functions raise.
val write_without_pushback : 'a Writer.t ‑> 'a ‑> unit
val transfer_in : 'a Writer.t ‑> from:'a Core_kernel.Queue.t ‑> unit Deferred.t
val transfer_in_without_pushback : 'a Writer.t ‑> from:'a Core_kernel.Queue.t ‑> unit
val write_when_ready : 'a Writer.t ‑> f:(('a ‑> unit) ‑> 'b) ‑> [ `Closed | `Ok of 'b ] Deferred.t
write_when_ready writer ~f
waits until there is space available in the pipe, and
then calls f write
, where write
can be used by f
to write a single value into
the pipe at a time. write_when_ready
guarantees that the pipe is open when it calls
f
, and hence that the writes will succeed, unless f
itself closes the pipe.
val write_if_open : 'a Writer.t ‑> 'a ‑> unit Deferred.t
write_if_open w e
is equivalent to:
let x = e in
if not (is_closed w) then (write w x) else (return ())
Note the difference in allocation and potential side effects when w
is closed and
e
is a complex expression.
write_without_pushback_if_open
is the same as write_if_open
, except it calls
write_without_pushback
instead of write
.
val write_without_pushback_if_open : 'a Writer.t ‑> 'a ‑> unit
With two special exceptions, all read procedures have a best-effort/forward-progress semantics:
The best-effort semantics allows you to program in a style that processes data in big slabs, yet also moves data through your processing in as timely a way as possible.
The forward-progress semantics means that every call produces some data, so you can process an n-element input with at most n reads; you cannot burn an unbounded number of cycles "spinning" doing an unbounded number of empty-result "polling" calls (which, in a non-preemptive system like Async could lock up the process).
The two exceptions to best-effort/forward-progress semantics are read_now
, which
polls for data, thus abandoning the forward-progress guarantee, and read_exactly
,
which loops until it has read the entire amount requested (or encountered EOF), thus
abandoning the best-effort guarantee of timeliness.
val read' : ?consumer:Consumer.t ‑> ?max_queue_length:int ‑> 'a Reader.t ‑> [ `Eof | `Ok of 'a Core_kernel.Queue.t ] Deferred.t
read' pipe
reads values available in the pipe, as soon as any value becomes
available. The resulting queue will satisfy 0 < Queue.length q <= max_queue_length
.
read'
raises if max_queue_length <= 0
. The consumer
is used to extend the
meaning of values being flushed (see the Consumer
module above).
val read : ?consumer:Consumer.t ‑> 'a Reader.t ‑> [ `Eof | `Ok of 'a ] Deferred.t
read pipe
reads a single value from the pipe. The consumer
is used to extend the
meaning of values being flushed (see the Consumer
module above).
val read_at_most : ?consumer:Consumer.t ‑> 'a Reader.t ‑> num_values:int ‑> [ `Eof | `Ok of 'a Core_kernel.Queue.t ] Deferred.t
read_at_most t ~num_values
is read' t ~max_queue_length:num_values
.
val read_exactly : ?consumer:Consumer.t ‑> 'a Reader.t ‑> num_values:int ‑> [ `Eof | `Fewer of 'a Core_kernel.Queue.t | `Exactly of 'a Core_kernel.Queue.t ] Deferred.t
read_exactly r ~num_values
reads exactly num_values
items, unless EOF is
encountered. read_exactly
performs a sequence of read_at_most
operations, so
there is no guarantee that the queue of values it returns comprise a contiguous
segment of the written stream of values -- other readers might pick off elements
in-between read_exactly
's atomic reads. read_exactly
raises if num_values <= 0
.
The consumer
is used to extend the meaning of values being flushed (see the
Consumer
module above).
val read_now' : ?consumer:Consumer.t ‑> ?max_queue_length:int ‑> 'a Reader.t ‑> [ `Eof | `Nothing_available | `Ok of 'a Core_kernel.Queue.t ]
read_now' reader
reads values from reader
that are immediately available. The
resulting queue will satisfy 0 <= Q.length q <= max_queue_length
. If reader
is
closed, read_now'
returns `Eof
. If reader
is empty, read_now'
returns
`Nothing_available
. The consumer
is used to extend the meaning of values being
flushed (see the Consumer
module above).
val read_now : ?consumer:Consumer.t ‑> 'a Reader.t ‑> [ `Eof | `Nothing_available | `Ok of 'a ]
read_now
is like read_now'
, except that it reads a single value rather than
everything that is available.
val read_now_at_most : ?consumer:Consumer.t ‑> 'a Reader.t ‑> num_values:int ‑> [ `Eof | `Nothing_available | `Ok of 'a Core_kernel.Queue.t ]
read_now_at_most t ~num_values
is read_now' t ~max_queue_length:num_values
val peek : 'a Reader.t ‑> 'a option
val clear : 'a Reader.t ‑> unit
clear reader
consumes all of the values currently in reader
, and all blocked
flushes become determined with `Ok
.
val read_all : 'a Reader.t ‑> 'a Core_kernel.Queue.t Deferred.t
read_all reader
reads all the values from the pipe until it is closed. An
alternative name might be Reader.to_queue
.
val values_available : _ Reader.t ‑> [ `Eof | `Ok ] Deferred.t
values_available reader
returns a deferred that becomes determined when there are
values in the pipe. If there are multiple readers (a rare situation), there is no
guarantee that some other reader hasn't become active because of ordinary Async
scheduling and removed some or all of the values between the time the result of
values_available
becomes determined and the time something waiting upon
that
result runs.
values_available
is useful when one wants to choose
on values being available in a
pipe, so that one can be sure and not remove values and drop them on the floor.
values_available
is roughly equivalent to read' ~max_queue_length:0
.
val read_choice : 'a Reader.t ‑> [ `Eof | `Ok of 'a | `Nothing_available ] Deferred.choice
read_choice reader
is:
choice
(values_available reader)
(fun (_ : [ `Ok | `Eof ]) -> read_now reader)
read_choice
consumes a value from reader
iff the choice is taken. read_choice
exists to discourage the broken idiom:
choice (read reader) (fun ...)
which is broken because it reads from reader
even if the choice isn't taken.
`Nothing_available
can only be returned if there is a race condition with one or
more other consumers.
read_choice_single_consumer_exn reader [%here]
is like read_choice reader
, but it
raises in the case of `Nothing_available
. It is intended to be used when reader
has no other consumers.
val read_choice_single_consumer_exn : 'a Reader.t ‑> Core_kernel.Source_code_position.t ‑> [ `Eof | `Ok of 'a ] Deferred.choice
Issues:
Scalar & batch sequence processing
Each of the sequence functions (fold, iter, transfer, map) comes in two versions:
"scalar" and "batch" processing. The scalar version has the ordinary type for f
,
which handles an element at a time in a non-deferred way. In the batch version, f
deals with a queue of elements from the pipe at a time, and can block, which will
cause pushback on writers due to elements not being consumed.
Early-close and functions that copy between pipes
Some functions (transfer
, map
, filter_map
, filter
, interleave
, concat
, and
their primed, batch-processing variants) spawn a background task that copies data from
some upstream pipe to some downstream pipe, perhaps with some processing inserted
in-between. These copying tasks finish under two circumstances. The standard,
"normal" case is when the copying task gets EOF from the upstream pipe -- there is no
more data to copy. In this case, the copying task closes the downstream pipe, if
necessary, and exits.
Somewhat less common is when the downstream consumer decides to stop reading early, while the upstream producer is still sending data to the copy task. (E.g., perhaps the consumer was searching its incoming stream for some value, and it found that value, so there's no need to search further.) In this case, the consumer closes its pipe to indicate it's done reading values. When the copy task discovers that its downstream pipe is closed, it propagates the close to the upstream producer by closing its pipe and stops processing.
val fold' : ?consumer:Consumer.t ‑> ?max_queue_length:int ‑> 'a Reader.t ‑> init:'accum ‑> f:('accum ‑> 'a Core_kernel.Queue.t ‑> 'accum Deferred.t) ‑> 'accum Deferred.t
fold' reader ~init ~f
reads a batch of elements from reader
, supplies them to f
,
waits for f
to finish, and then repeats. fold'
finishes when the call to f
on
the final batch of elements from reader
finishes.
val fold : ?consumer:Consumer.t ‑> 'a Reader.t ‑> init:'accum ‑> f:('accum ‑> 'a ‑> 'accum Deferred.t) ‑> 'accum Deferred.t
fold reader ~init ~f
folds over the elements of reader
, consuming them as they
come in. fold
finishes when the final call to f
returns.
val fold_without_pushback : ?consumer:Consumer.t ‑> 'a Reader.t ‑> init:'accum ‑> f:('accum ‑> 'a ‑> 'accum) ‑> 'accum Deferred.t
val iter' : ?consumer:Consumer.t ‑> ?continue_on_error:bool ‑> ?max_queue_length:int ‑> 'a Reader.t ‑> f:('a Core_kernel.Queue.t ‑> unit Deferred.t) ‑> unit Deferred.t
iter' reader ~f
repeatedly applies f
to batches of elements of reader
, waiting
for each call to f
to finish before continuing. The deferred returned by iter'
becomes determined when the call to f
on the final batch of elements finishes.
~continue_on_error:true
causes the iteration to continue even if f
raises.
~consumer
is used to extend the meaning of values being flushed (see the Consumer
module above).
val iter : ?consumer:Consumer.t ‑> ?continue_on_error:bool ‑> 'a Reader.t ‑> f:('a ‑> unit Deferred.t) ‑> unit Deferred.t
iter t f
is a specialization of iter'
that applies the f
to each element in the
batch, waiting for one call to f
to finish before making the next call to f
.
val iter_without_pushback : ?consumer:Consumer.t ‑> ?continue_on_error:bool ‑> ?max_iterations_per_job:int ‑> 'a Reader.t ‑> f:('a ‑> unit) ‑> unit Deferred.t
iter_without_pushback t ~f
applies f
to each element in t
, without giving f
a
chance to pushback on the iteration continuing. If f
raises on some element of t
,
iter_without_pushback
will not consume any further elements.
iter_without_pushback
will not make more than max_iterations_per_job
calls to f
in a single Async_job; this can be used to increase Async-scheduling fairness.
val transfer' : ?max_queue_length:int ‑> 'a Reader.t ‑> 'b Writer.t ‑> f:('a Core_kernel.Queue.t ‑> 'b Core_kernel.Queue.t Deferred.t) ‑> unit Deferred.t
transfer' input output ~f
repeatedly reads a batch of elements from input
, applies
f
to the batch, writes the result as a batch to output
, and then waits on
pushback
in output
before continuing. transfer'
finishes if input
is closed
or output
is closed. If output
is closed, then transfer'
closes input
.
val transfer : 'a Reader.t ‑> 'b Writer.t ‑> f:('a ‑> 'b) ‑> unit Deferred.t
transfer
is like transfer'
, except that it processes one element at time.
val transfer_id : ?max_queue_length:int ‑> 'a Reader.t ‑> 'a Writer.t ‑> unit Deferred.t
transfer_id
is a specialization of transfer'
with f = Fn.id
.
val map' : ?max_queue_length:int ‑> 'a Reader.t ‑> f:('a Core_kernel.Queue.t ‑> 'b Core_kernel.Queue.t Deferred.t) ‑> 'b Reader.t
map' input ~f
returns a reader, output
, and repeatedly applies f
to batches of
elements from input
, with the results appearing in output
. If values are not
being consumed from output
, map'
will pushback and stop consuming values from
input
. If output
is closed, then map'
will close input
.
val fold_map : ?max_queue_length:int ‑> 'a Reader.t ‑> init:'accum ‑> f:('accum ‑> 'a ‑> 'accum * 'b) ‑> 'b Reader.t
fold_map
is a combination of fold
and map
that threads an accumulator through
calls to f
.
val filter_map' : ?max_queue_length:int ‑> 'a Reader.t ‑> f:('a ‑> 'b option Deferred.t) ‑> 'b Reader.t
filter_map' input ~f
returns a reader, output
, and repeatedly applies f
to
elements from input
, with the results that aren't None
appearing in output
. If
values are not being consumed from output
, filter_map'
will pushback and stop
consuming values from input
. If output
is closed, then filter_map'
will close
input
.
val fold_filter_map : ?max_queue_length:int ‑> 'a Reader.t ‑> init:'accum ‑> f:('accum ‑> 'a ‑> 'accum * 'b option) ‑> 'b Reader.t
fold_filter_map
is a combination of fold
and filter_map
that threads an
accumulator through calls to f
.
filter input ~f
returns a reader, output
, and copies to output
each element from
input
that satisfies the predicate f
. If output
is closed, then filter
closes
input
.
interleave inputs
returns a reader output
, and, for each input, transfers batches
of values from that input to output
, using transfer_id
. Each input is transferred
to output
independently. So, batches of values from different inputs can be in
flight to output
simultaneously, but at most one batch at a time from any particular
input. The operation is complete when either all the inputs
produce EOF, or when
output
is closed by the downstream consumer (in which case interleave
closes all
the inputs
).
merge inputs ~cmp
returns a reader, output
, that merges all the inputs. Assuming
that for each input, values are sorted according to the comparison function cmp
,
values for each input will be transfered to output
and the values returned by
output
will be sorted according to cmp
.
concat inputs
return a reader, output
, with the values from each pipe in inputs
in sequence. concat
closes output
once it reaches EOF on the final input.
If output
is closed, then concat
closes all its inputs.
val to_stream_deprecated : 'a Reader.t ‑> 'a Async_kernel__.Async_stream.t
to_stream_deprecated reader
returns a stream that reads everything from the pipe.
This function is deprecated because one should change the code that is consuming
a stream to instead consume from a pipe reader.
val of_stream_deprecated : 'a Async_kernel__.Async_stream.t ‑> 'a Reader.t
of_stream_deprecated reader
return a pipe that has one element for every element on
the stream. This function is deprecated because one should change the code that is
producing a stream to instead produce a pipe reader.
val drain : 'a Reader.t ‑> unit Deferred.t
drain reader
repeatedly reads values from reader
and throws them away.
drain_and_count
is like drain
, except it also counts the number of values it
has read.
val drain_and_count : 'a Reader.t ‑> int Deferred.t
val to_list : 'a Reader.t ‑> 'a list Deferred.t
to_list input
reads everything from input
; on EOF, it produces the accumulated
list of these values.
val size_budget : (_, _) t ‑> int
Every pipe has a "size budget", which governs the pushback that is used to discourage writers from enqueueing arbitrarily large amounts of data. As long as the length of the pipe exceeds the size budget, writers will not be notified to do further writing. Whenever the length is less than or equal to the size budget, writers will be notified to continue.
Every pipe's initial size budget is zero.
val set_size_budget : (_, _) t ‑> int ‑> unit
set_size_budget t i
changes the size budget of t
to i
. Any nonnegative value is
allowed.
val show_debug_messages : bool Core_kernel.ref
show_debug_messages
, if true will cause a message to be printed at the start of each
operation, showing the pipe and other arguments.
val check_invariant : bool Core_kernel.ref
check_invariant
, if true, will cause pipes' invariants to be checked at the start of
each operation.