package async_kernel

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A buffered FIFO communication channel.

A pipe has a "writer" end and a "reader" end. The intent is that a writer feeds values into the pipe and then waits until it is notified that it should put more data in (referred to as "pushback").

Each pipe contains a buffer that is a queue of values that have been written to the pipe but not yet read from the pipe. The length of the queue is not bounded; whenever the pipe is written to, values are immediately enqueued. However, writers are supposed to respect pushback from readers, either via the unit Deferred.t returned by write calls or by explicitly calling pushback.

If a pipe is empty, then readers queue up, waiting for values to be written. As soon as values are written, if a reader is available to consume them, the values will be handed to the reader.

One can use downstream_flushed to get notified by a pipe when all prior writes have been consumed by a reader.

There are distinct Reader and Writer modules and types, but all of the operations on readers and writers are available directly from the Pipe module.

For debugging your pipe usage you can use show_debug_messages, and also use set_info to attach some data to a pipe for identification purposes.

type ('a, 'phantom) t
val sexp_of_t : ('a -> Sexplib0.Sexp.t) -> ('phantom -> Sexplib0.Sexp.t) -> ('a, 'phantom) t -> Sexplib0.Sexp.t
type ('a, 'phantom) pipe = ('a, 'phantom) t
val sexp_of_pipe : ('a -> Sexplib0.Sexp.t) -> ('phantom -> Sexplib0.Sexp.t) -> ('a, 'phantom) pipe -> Sexplib0.Sexp.t

Reader and Writer modules

These provide reader- and writer-specific types for the base pipe type.

module Writer : sig ... end
module Reader : sig ... end


val create_reader : ?size_budget:int -> 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.

val create_writer : ?size_budget:int -> ('a Reader.t -> unit Deferred.t) -> 'a Writer.t

create_writer is symmetric with create_reader. It creates a new pipe, applies f to its reader end, and returns its writer end. create_writer 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 : ?size_budget:int -> ?info:Core.Sexp.t -> unit -> 'a Reader.t * 'a Writer.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. info is an arbitrary sexp displayed by sexp_of_t, for debugging purposes; see also set_info.

size_budget defaults to 0. See set_size_budget for documentation.

val empty : unit -> _ Reader.t

empty () returns a closed pipe reader with no contents.

val of_queue : 'a Core.Queue.t -> 'a Reader.t

of_queue queue returns a closed pipe reader filled with the contents of queue. Any mutation of the queue after the call won't affect the pipe's content.

val of_list : 'a list -> 'a Reader.t

of_list l returns a closed pipe reader filled with the contents of l.

val singleton : 'a -> 'a Reader.t

singleton x returns a closed pipe reader filled with the single value x.

val unfold : init:'s -> f:('s -> ('a * 's) option Deferred.t) -> 'a Reader.t

unfold ~init ~f returns a pipe that it fills with 'as 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.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.

type 'a to_sequence_elt =
  1. | Value of 'a
  2. | Wait_for : _ Deferred.t -> _ to_sequence_elt

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.Sequence.t


val close : _ Writer.t -> unit

close t closes the write end of the pipe:

  • Future write attempts will fail, raising an exception.
  • If, at the time of the close, there are reads blocked waiting for data, these reads will unblock, producing `Eof.
  • Future read attempts will drain the data that was in the pipe at the time of the close, until the pipe's buffer has been exhausted; subsequent reads will immediately get `Eof.

Thus, after a pipe has been closed, reads never block.

close is idempotent.

val close_read : _ Reader.t -> unit

close_read t closes both the read and write ends of the pipe. It does everything close does, and in addition:

  • all pending flushes become determined with `Reader_closed.
  • the pipe buffer is cleared.
  • all subsequent reads will get `Eof.
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

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

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.

val upstream_flushed : (_, _) t -> Flushed_result.t Deferred.t
val downstream_flushed : (_, _) t -> Flushed_result.t Deferred.t
module Consumer : sig ... end

A Consumer is used to augment our notion of flushing (Pipe.upstream_flushed and Pipe.downstream_flushed) to include the time spent processing an element once it has been removed from the pipe. It can be thought of as sitting at the end of a pipe, or between two pipes, and it provides more detailed feedback on the time an element spends outside of the pipe proper. So we have the following two cases:

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.

Generic pipe operations

These operations apply to all values of type (_, _) t, that is, both readers and writers.

val length : (_, _) t -> int

length t returns the number of elements currently queued in t.

val is_empty : (_, _) t -> bool

is_empty t is true iff there are no values in the pipe.


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 mechanism 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 it.

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.*)
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.Queue.t -> unit Deferred.t
val transfer_in_without_pushback : 'a Writer.t -> from:'a Core.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:

  • Best effort: When you do a read, you get what's available right now, which might be less than you requested.
  • Forward progress: However, if nothing is available, you block until some data comes in (unless you're at EOF, in which case there's obviously no point in waiting). So the only time you ever get an empty, 0-item read is when you're at EOF.

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.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_exn : ?consumer:Consumer.t -> 'a Reader.t -> 'a Deferred.t

read_exn is like read, except it raises on `Eof.

val read_exactly : ?consumer:Consumer.t -> 'a Reader.t -> num_values:int -> [ `Eof | `Fewer of 'a Core.Queue.t | `Exactly of 'a Core.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' 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.Queue.t ]

read_now' reader reads values from reader that are immediately available. If reader is closed, read_now' returns `Eof. If reader is empty, read_now' returns `Nothing_available. Otherwise, `Ok q is returned, and the resulting queue will satisfy 0 < Q.length q <= max_queue_length. 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 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.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.t

read_choice reader is:

  (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.Source_code_position.t -> [ `Eof | `Ok of 'a ] Deferred.Choice.t

Sequence functions

module Flushed : sig ... end


  • 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' : ?flushed:Flushed.t -> ?max_queue_length:int -> 'a Reader.t -> init:'accum -> f:('accum -> 'a Core.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.

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 : ?flushed:Flushed.t -> 'a Reader.t -> init:'accum -> f:('accum -> 'a -> 'accum Deferred.t) -> 'accum Deferred.t
val fold_without_pushback : ?consumer:Consumer.t -> 'a Reader.t -> init:'accum -> f:('accum -> 'a -> 'accum) -> 'accum Deferred.t
val iter' : ?continue_on_error:bool -> ?flushed:Flushed.t -> ?max_queue_length:int -> 'a Reader.t -> f:('a Core.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.

~flushed:When_value_processed means values in batch b are flushed only after f b is filled.

val iter : ?continue_on_error:bool -> ?flushed:Flushed.t -> '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.Queue.t -> 'b Core.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. Use ~max_queue_length:1 to cause elements to appear on the output pipe as soon as they are processed, without having to wait for the entire queue.

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 a 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 =

val map' : ?max_queue_length:int -> 'a Reader.t -> f:('a Core.Queue.t -> 'b Core.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. Use ~max_queue_length:1 to cause elements to appear on the output pipe as soon as they are processed, without having to wait for the entire queue.

val map : 'a Reader.t -> f:('a -> 'b) -> 'b Reader.t

map is like map', except that it processes one element at a time.

val concat_map_list : ?max_queue_length:int -> 'a Reader.t -> f:('a -> 'b list) -> 'b Reader.t

concat_map_list is like List.concat_map. It produces the same result as map' ~f:(fun q -> return (Queue.concat_map q ~f))

val folding_map : ?max_queue_length:int -> 'a Reader.t -> init:'accum -> f:('accum -> 'a -> 'accum * 'b) -> 'b Reader.t

folding_map is a version of 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. filter_map' processes elements in batches as per max_queue_length; in a single batch, all outputs will propagate to the result only when all inputs have been processed.

val filter_map : ?max_queue_length:int -> 'a Reader.t -> f:('a -> 'b option) -> 'b Reader.t

filter_map is a specialized version of filter_map'.

val folding_filter_map' : ?max_queue_length:int -> 'a Reader.t -> init:'accum -> f:('accum -> 'a -> ('accum * 'b option) Deferred.t) -> 'b Reader.t

folding_filter_map' is a version of filter_map' that threads an accumulator through calls to f. Like filter_map', folding_filter_map' processes elements in batches as per max_queue_length; in a single batch, all outputs will propagate to the result only when all inputs have been processed.

val folding_filter_map : ?max_queue_length:int -> 'a Reader.t -> init:'accum -> f:('accum -> 'a -> 'accum * 'b option) -> 'b Reader.t

folding_filter_map is a specialized version of folding_filter_map'.

val filter : 'a Reader.t -> f:('a -> bool) -> 'a Reader.t

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.

val interleave : 'a Reader.t list -> 'a Reader.t

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).

val interleave_pipe : 'a Reader.t Reader.t -> 'a Reader.t
val merge : 'a Reader.t list -> compare:('a -> 'a -> int) -> 'a Reader.t

merge inputs ~compare returns a reader, output, that merges all the inputs. Assuming that for each input, values are sorted according to the comparison function compare, values for each input will be transfered to output and the values returned by output will be sorted according to compare.

val concat : 'a Reader.t list -> 'a Reader.t

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 concat_pipe : 'a Reader.t Reader.t -> 'a Reader.t

concat_pipe is like concat, but it takes a pipe of inputs instead of a list, and closes the input pipe when the output pipe is closed.

val fork : 'a Reader.t -> pushback_uses:[ `Both_consumers | `Fast_consumer_only ] -> 'a Reader.t * 'a Reader.t

fork input returns a pair of readers and transfers each of the values in input into both of the returned readers. It closes input early if both of the readers are closed early.

If pushback_uses = `Both_consumers, then fork waits for pushback on both readers when writing. If one of the readers is not read from or is slow to be read from, it may block the other from receiving data. Beware of possible deadlocks in downstream code due to blocking on reading too many elements from one before reading the other.

If pushback_uses = `Fast_consumer_only, then fork waits for pushback only on the faster of the two readers when writing. In this case the slow reader cannot block the faster one, but fork could be forced to buffer arbitrarily many elements. Beware of unbounded resource usage in downstream code where one reader might fall behind.

Note that upstream_flushed will not work with the pipes returned by fork.

val to_stream_deprecated : 'a Reader.t -> 'a Tail.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 Tail.Stream.t -> 'a Reader.t

of_stream_deprecated reader returns 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 hash : (_, _) t -> int

hash is a hash function based on the internal id of the pipe.

val equal : ('a, 'b) t -> ('a, 'b) t -> bool

equal on pipes is physical equality.

val compare : (_, _) t -> (_, _) t -> int

compare on pipes is based on the internal id of the pipe.

Size budget

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.

Reserved space

val reserved_space : (_, _) t -> int

It is possible to reserve space for a value in a pipe before actually writing the value yet. Reserved space behaves like a temporary reduction in the pipe's size budget that is restored as values are written to the pipe.

val reserve_space : _ Writer.t -> int -> unit

reserve_space writer n increases the reserved space of writer by n. n must be nonnegative.


val show_debug_messages : bool Core.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.ref

check_invariant, if true, will cause pipes' invariants to be checked at the start of each operation.

val set_info : (_, _) t -> Core.Sexp.t -> unit

set_info updates t's info field, which is displayed by sexp_of_t, and thus in debugging messages.


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