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.
include sig ... end
val sexp_of_t :
('a -> Sexplib.Sexp.t) ->
('phantom -> Sexplib.Sexp.t) ->
('a, 'phantom) t ->
Sexplib.Sexp.ttype ('a, 'phantom) pipe = ('a, 'phantom) tinclude sig ... end
val sexp_of_pipe :
('a -> Sexplib.Sexp.t) ->
('phantom -> Sexplib.Sexp.t) ->
('a, 'phantom) pipe ->
Sexplib.Sexp.tReader and Writer modules
These provide reader- and writer-specific types for the base pipe type.
Creation
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. 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.
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.
of_list l returns a closed pipe reader filled with the contents of l.
singleton x returns a closed pipe reader filled with the single value x.
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)))
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.
Closing
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.
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 -> boolis_closed t returns true iff close t or close_read t has been called.
closed t returns a deferred that becomes determined when close t or close_read t is called.
Flushing
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.
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 -> intlength t returns the number of elements currently queued in t
val is_empty : (_, _) t -> boolis_empty t is true iff there are no values in the pipe.
Writing
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.
pushback writer becomes determined when either writer has been closed or the pipe can accept a new write.
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 ttransfer_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 -> unitval write_when_ready :
'a Writer.t ->
f:(('a -> unit) -> 'b) ->
[ `Closed | `Ok of 'b ] Deferred.twrite_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.
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 -> unitReading
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.
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).
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).
read_at_most t ~num_values is read' t ~max_queue_length:num_values.
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).
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.
read_now_at_most t ~num_values is read_now' t ~max_queue_length:num_values
clear reader consumes all of the values currently in reader, and all blocked flushes become determined with `Ok.
read_all reader reads all the values from the pipe until it is closed. An alternative name might be Reader.to_queue.
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.
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.
Sequence functions
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.
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.
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).
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.titer_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.
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.
transfer is like transfer', except that it processes one element at time.
transfer_id is a specialization of transfer' with f = Fn.id.
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.
map is like map', except that it processes one element at time.
val folding_map :
?max_queue_length:int ->
'a Reader.t ->
init:'accum ->
f:('accum -> 'a -> 'accum * 'b) ->
'b Reader.tfolding_map is a version of map that threads an accumulator through calls to f.
val fold_map :
?max_queue_length:int ->
'a Reader.t ->
init:'accum ->
f:('accum -> 'a -> 'accum * 'b) ->
'b Reader.tfilter_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 filter_map :
?max_queue_length:int ->
'a Reader.t ->
f:('a -> 'b option) ->
'b Reader.tfilter_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) ->
'b Reader.tfolding_filter_map is a version filter_map that threads an accumulator through calls to f.
val fold_filter_map :
?max_queue_length:int ->
'a Reader.t ->
init:'accum ->
f:('accum -> 'a -> 'accum * 'b option) ->
'b Reader.tfilter 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.
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.
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.
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.
to_list input reads everything from input; on EOF, it produces the accumulated list of these values.
Miscellaneous
val hash : (_, _) t -> inthash a hash function suitable for pipes
val equal : ('a, 'b) t -> ('a, 'b) t -> boolequal on pipes is physical equality.
val compare : (_, _) t -> (_, _) t -> intcompare on pipes is based on the internal id of the pipe
Size budget
val size_budget : (_, _) t -> intEvery 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 -> unitset_size_budget t i changes the size budget of t to i. Any nonnegative value is allowed.
Debugging
show_debug_messages, if true will cause a message to be printed at the start of each operation, showing the pipe and other arguments.
check_invariant, if true, will cause pipes' invariants to be checked at the start of each operation.