Does reactive extensions support rolling buffers?
I wrote an extension to do most of what you're after - BufferWithInactivity
.
Here it is:
public static IObservable<IEnumerable<T>> BufferWithInactivity<T>(
this IObservable<T> source,
TimeSpan inactivity,
int maximumBufferSize)
{
return Observable.Create<IEnumerable<T>>(o =>
{
var gate = new object();
var buffer = new List<T>();
var mutable = new SerialDisposable();
var subscription = (IDisposable)null;
var scheduler = Scheduler.ThreadPool;
Action dump = () =>
{
var bts = buffer.ToArray();
buffer = new List<T>();
if (o != null)
{
o.OnNext(bts);
}
};
Action dispose = () =>
{
if (subscription != null)
{
subscription.Dispose();
}
mutable.Dispose();
};
Action<Action<IObserver<IEnumerable<T>>>> onErrorOrCompleted =
onAction =>
{
lock (gate)
{
dispose();
dump();
if (o != null)
{
onAction(o);
}
}
};
Action<Exception> onError = ex =>
onErrorOrCompleted(x => x.OnError(ex));
Action onCompleted = () => onErrorOrCompleted(x => x.OnCompleted());
Action<T> onNext = t =>
{
lock (gate)
{
buffer.Add(t);
if (buffer.Count == maximumBufferSize)
{
dump();
mutable.Disposable = Disposable.Empty;
}
else
{
mutable.Disposable = scheduler.Schedule(inactivity, () =>
{
lock (gate)
{
dump();
}
});
}
}
};
subscription =
source
.ObserveOn(scheduler)
.Subscribe(onNext, onError, onCompleted);
return () =>
{
lock (gate)
{
o = null;
dispose();
}
};
});
}
This is possible by combining the built-in Window
and Throttle
methods of Observable
. First, let's solve the simpler problem where we ignore the maximum count condition:
public static IObservable<IList<T>> BufferUntilInactive<T>(this IObservable<T> stream, TimeSpan delay)
{
var closes = stream.Throttle(delay);
return stream.Window(() => closes).SelectMany(window => window.ToList());
}
The powerful Window
method did the heavy lifting. Now it's easy enough to see how to add a maximum count:
public static IObservable<IList<T>> BufferUntilInactive<T>(this IObservable<T> stream, TimeSpan delay, Int32? max=null)
{
var closes = stream.Throttle(delay);
if (max != null)
{
var overflows = stream.Where((x,index) => index+1>=max);
closes = closes.Merge(overflows);
}
return stream.Window(() => closes).SelectMany(window => window.ToList());
}
I'll write a post explaining this on my blog. https://gist.github.com/2244036
Documentation for the Window method:
- http://leecampbell.blogspot.co.uk/2011/03/rx-part-9join-window-buffer-and-group.html
- http://enumeratethis.com/2011/07/26/financial-charts-reactive-extensions/