concurrency ~timers
concurrency library
To use this package, run the following command in your project's root directory:
Manual usage
Put the following dependency into your project's dependences section:
Structured Concurrency
<img src="https://github.com/symmetryinvestments/concurrency/workflows/build/badge.svg"/>
Provides various primitives useful for structured concurrency and async tasks.
Senders/Receivers
A Sender is a lazy Task (in the general sense of the word). It needs to be connected to a Receiver and then started before it will (eventually) call one of the three receiver methods exactly once: setValue
, setDone
, setError
.
It can be used to model many asynchronous operations: Futures, Fiber, Coroutines, Threads, etc. It enforces structured concurrency because a Sender cannot start without it being awaited on.
setValue
is the only one allowed to throw exceptions, and if it does, setError
is called with the Exception. setDone
is called when the operation has been cancelled.
See http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2020/p0443r14.html for the C++ proposal for introducing Senders/Receivers.
Currently we have the following Senders:
ValueSender
. Just produces a plain value.ThreadSender
. Calls the setValue function in the context of a new thread.Nursery
. A place to await multiple Senders.ForkSender
. Forks the program and executes the supplied function.ThrowingSender
. Always throws.DoneSender
. Always cancels.VoidSender
. Always calls setValue with no arguments.
Writing your own Sender
Most of the asynchronous tasks you will do involve writing your own Sender
.
Here is the implementation of the ValueSender
.
/// A Sender that sends a single value of type T
struct ValueSender(T) {
alias Value = T;
T value;
static struct Op(Receiver) {
Receiver receiver;
T value;
void start() {
receiver.setValue(value);
}
}
Op!Receiver connect(Receiver)(Receiver receiver) {
return Op!(Receiver)(receiver, value);
}
}
A ValueSender!int
is nothing more than a int
wrapped in a struct with a connect
method. It can be constructed and passed around, but it won't produce a value until it is connected and started. The Op
object (operational-state) returned by connect
represents the state of a connected Sender/Receiver pair, which in case of the ValueSender
includes the value to be send. After connecting the operational-state still need its start
method called, before it actually produces a value.
A Receiver needs to implement the setValue
, setError
and setDone
. A Sender is required to call exactly one of the three functions once. Both setError
and setdone
are required to be nothrow
. If setValue
is not nothrow then the Sender must call setError
if setValue
throws.
Most Senders should call receiver.getStopToken
to retrieve a stoptoken by which they can be notified (or polled) whether they are cancelled. See the section of stoptokens how this works.
Operations
Senders enjoy the following operations.
sync_wait
. It takes a Sender and blocks the current execution context until the Sender is completed. It then returns or throws anything the Sender has send, if any. (note: attributes are inferred when possible, so that e.g. if the Sender doesn't callsetError
,sync_wait
itself is nothrow).then
. Chains a callable to be invoked when the Sender is completed with a value.via
. Start one Sender in the setValue of another. Useful for when you want to change the execution context.ValueSender!int(4).via(ThreadSender())
produces anint
in the context of a new thread.withStopToken
. Likethen
but injects a StopToken as well.withStopSource
. When applied after a Sender you can stop the Sender manually with the stopsource. It will still stop when the downstream receiver's StopToken is triggered.race
. Runs multiple Senders and completes with the value produced by the first to complete, after first cancelling and awaiting the others. When both Senders complete with an error, the first error is propagated. When both Senders complete with cancellation,race
completes with cancellation as well.ignoreError
. Redirects thesetException
tosetDone
, so as not to trigger the downstream error path.finally_
. Takes a Sender and a callable or value and completes with that regardless of whether the Sender completed withsetValue
orsetException
.whenAll
. Produces a tuple of values after all Senders produced their values. If one or more Senders complete with an error,whenAll
will complete with the first error, after stopping and awaiting the remaining Senders. Likewise, if one Sender completes with cancellation,whenAll
completes with cancellation as well, after stopping and awaiting the remaining Senders.retry
. It retries the underlying Sender until success or cancellation. The retry logic is customizable. Included is a Times, that will retry n times and then propagate the latest failure.completeWithCancellation
. Wraps the Sender and redirects the setValue termination to complete with cancellation. The Sender is not allowed to produce a Value.toShared
. Wraps a Sender in a SharedSender that forwards the same termination call to each connected Receiver.
Streams
A Stream has a .collect
function that accepts a shared
callable and returns a Sender. Once the Sender is connected and started the Stream will call the callable zero or more times before one of the three terminal functions of the Receiver is called.
An exception throw in the callable will cancel the stream and complete the Sender with that exception.
Streams can be cancelled by triggering the StopToken supplied via the Receiver.
The callable supplied to the Stream has to annotated with shared
because the execution context where the callable is called from is undefined.
Currently there are the following Streams:
infiniteStream
. Continously emits the same value.iotaStream
. Emits the values that span the given starting and stopping values.arrayStream
. Emits every value from the array.intervalStream
. Emits every interval.doneStream
. Upon start immediately emits cancellation.errorStream
. Upon start immediately emits an error.sharedStream
. Is used for broadcasting values to zero or more receivers. Receivers can be added and removed at any time.
With the following operations:
take
. Emits at most the first n values.transform
. Applies a tranformation function to each value.scan
. Applies an accumulator function with seed to each value.sample
. Forwards the latest value of the base Stream every time the trigger Stream emits a value. If the base stream hasn't produced a (new) value the trigger is ignored.via
. Starts the Stream on the context of another Sender.throttleFirst
. Limits a Stream by starting a cooldown period after each value during which no newer values are emitted.throttleLast
. LikethrottleFirst
but only emits the latest value after the cooldown.debounce
. Limits a Stream by only emitting the last value after the Stream has not emitted for a duration.
Most of the time you will need to write your own Stream however. The following helpers can speed that up:
loopStream
. Takes a struct with aloop
function and calls that with anemit
andstopToken
while ensuring the struct is alive during that.fromStreamOp
. Constructs a full Stream given only a templated OperationalState. Allows passing in custom values into the OperationalState's constructor. Since Streams build on Senders they require a bit of boilerplate to setup, this helper eliminates that.
Scheduler
Schedulers create Senders that run on specific execution contexts. A Sender can query a Receiver with .getScheduler()
to get a Scheduler and from there can schedule additional tasks to be ran immediately or after a certain Duration
.
sync_wait
automatically inserts a LocalThreadScheduler
with a timingwheels implementation to fulfull the Scheduler contract. This means that by default any Sender can schedule timers that run on the thread that awaits the whole chain.
For testing purposes there is a ManualTimeScheduler
which can be used to advance the timingwheels manually.
ThreadPool
stdTaskPool
creates a RAII thread pool where Senders can be scheduled on using the .on
scheduling operator. Both the sender scheduled will run in the thread pool as well any additional scheduled Senders using getScheduler
. It uses the std.parallelism's TaskPool
implementation underneath.
Nursery
A place where Senders can be awaited in. Senders placed in the Nursery are started only when the Nursery is started.
In many ways it is like the when_all
, except as an object. That allows it to be passed around and for work to be registered into it dynamically.
StopToken
StopTokens are thread-safe objects used to request cancellation. They can be polled or subscribed to.
A receiver may have a getStopToken
that returns one. If not a default getStopToken
is available that returns a NeverStopToken
.
A Sender should retrieve a StopToken via getStopToken
on the connecting Receiver and try to abort as quick as possible when it gets triggered.
The simplest way is to poll the stoptoken regularly. There is a isStopRequested
method that will return true
if the Sender should abort. After cleanup the Sender must call setDone
.
NOTE: In some cases when a stop is requested, the Sender is already busy setting a value or an exception. Receivers should not assume that because the stoptoken is triggered only
setDone
will be called, it is perfectly valid to call one of the other two as well.
You might need a push notification that a stop has been requested. There is a free function called onStop
that takes a StopToken and a delegate. The delegate will be called - in an undefined execution context - to signify that a stop is requested. The onStop
function returns a StopCallback
that needs its dispose
to be called before the Sender has terminated. Not calling dispose
will lead to memory leaks in long-running Senders (e.g. the Nursery).
See http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2020/p2175r0.html for a thorough explanation for why we need stop tokens in particular and cancellation in general.
DSemver
This package uses dsemver to calculate the next semantic version.
run dub run [email protected] -- -p $(pwd) -c
to calcuate the next version.
- Registered by Symmetry Investments
- ~timers released 3 years ago
- symmetryinvestments/concurrency
- MIT
- Copyright © 2021, skoppe
- Authors:
- Dependencies:
- mir-core, concepts, automem, ikod-containers
- Versions:
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