Cómo copiar secuencias en muchas secuencias async C # .NET

I have TCP server , what recieve big data without a break. And I need to broadcast this stream to many clients.

ACTUALIZACIÓN: I need to broadcast video stream. Perhaps there are ready solutions?

preguntado el 08 de noviembre de 11 a las 15:11

Please provide more detail about the code you've tried and what has/has not worked. -

is it necessary to use TCP for broadcasting ? your requirement is usually implement via UDP... -

The data what I tried to broadcast - it is stream. -

TCP isn't necessary, if I can connect to UPD from silverlight application. -

3 Respuestas

If you want to do this asynchronously, then you can take advantage of the System.Threading.Tasks espacio de nombres.

First, you'll need a map of the Stream instancias a la Task that can be waited on for completion:

IDictionary<Stream, Task> streamToTaskMap = outputStreams.
    ToDictionary(s => s, Task.Factory.StartNew(() => { });

There's a slight overhead in the above, in that there's a wasted Task instance that does nothing, but that price is small given the number of Task instances and continuations you need to perform.

From there, you would read the content from the stream and then write it out to each of the Stream instances asynchronously:

byte[] buffer = new byte[<buffer size>];
int read = 0;

while ((read = inputStream.Read(buffer, 0, buffer.Length)) > 0)
    // The buffer to copy into.
    byte[] copy = new byte[read];

    // Perform the copy.
    Array.Copy(buffer, copy, read);

    // Cycle through the map, and replace the task with a continuation
    // on the task.
    foreach (Stream stream in streamToTaskMap.Keys)
        // Continue.
        streaToTaskMap[stream] = streaToTaskMap[stream].ContinueWith(t => {
            // Write the bytes from the copy.
            stream.Write(copy, 0, copy.Length);

And in the end, you can wait on all of the streams written to by calling:


There are a few things to note.

First, the copy of buffer is needed because of the lambda that is passed to ContinueWith; the lambda is a closure that would encapsulate buffer and because it is processing asynchronously, the contents are likely to change. Each continuance needs its own copy of the buffer to read.

This is also why the call to Stream.Write utiliza el Array.Length property; otherwise, the read variable would have to be copied through each iteration of the loop.

Additionally, it would be more ideal to be able to utilize the BeginWrite/EndWrite métodos en el Stream class; because there is no ContinueWithAsync method which will take a Task and continue with an asynchronous method, there is no benefit to calling the async versions of read.

This is one of those cases where it might be better to call BeginWrite/EndWrite yourself (as well as BeginRead/EndRead) in order to make the most of async operations; of course, this will be a bit more complex because you won't have the encapsulation of the operation's result that Task provides, and you will have to take the same precautions with the buffer if you use anonymous methods/closures.

respondido 08 nov., 11:20

Spawn off a thread passing the stream to it, as well as the streams to write to

byte[] buffer = new byte[BUFFER_SIZE];
int btsRead = 0;

while ((btsRead = inputStream.Read(buffer, 0, BUFFER_SIZE)) > 0)
    foreach (Stream oStream in outputStreams)
        oStream.Write(buffer, 0, btsRead);

EDIT: To parallelize the writes:

replace the foreach chunk with:

Parallel.ForEach(outputStreams, oStream =>
    oStream.Write(buffer, 0, btsRead);

respondido 08 nov., 11:19

"foreach"? Is it good solution? And what if I wiil have about 1000 clients? - Alex Shkor

foreach is the same as a for loop. The code I just presented should be run in a background thread spawned by the server when it receives the upload stream. You could try other techniques such as do asynchronous writes to the client stream to further amortize the cost, but what I presented is a relatively simple solution that should work. - Mranz

Basically, you are wanting to thread your application. Here's a simple example of threading and TCP/IP

C# Tutorial - Simple Threaded TCP Server | Switch on the Code

respondido 08 nov., 11:19

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