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DotNetty发送请求的最佳实践

长链接发送request/response时, 绝大部分包都是小包, 而每个小包都要消耗一个IP包, 成本大约是20-30us, 普通千兆网卡的pps大约是60Wpps, 所以想要提高长链接密集IO的应用性能, 需要做包的合并, 也称为了scatter/gather io或者vector io.

 

在linux下有readv/writev就是对应这个需求的, 减少系统调用, 减少pps, 提高网卡的吞吐量. 关于readv提高读的速度, 可以看看陈硕muduo里面对于readv的使用, 思路是就是在栈上面弄一个64KB的数组, 组成readv的第二块buffer, 从而尽可能一次性把socket缓冲区的内容全部出来(参见5). 这里不再赘述, 重点描述DotNetty下面怎么做Gathering Write.

 

首先得有一个Channel<IMessage>, 用来做写的缓冲, 让业务关心业务, 网络关心网络, 否则每个业务都WriteAndFlushAsync, 那是不太可能有合并发送的.

 

然后就是SendingLoop的主循环, 里面不停的从Channel里面TryRead包, 然后WriteAsync, 隔几个包Flush一次. 类似的思想在Orleans Network里面也存在.

 

 1 public void RunSendLoopAsync(IChannel channel)
 2 {
 3     var allocator = channel.Allocator;
 4     var reader = this.queue.Reader;
 5     Task.Run(async () => 
 6     {
 7         while (!this.stop) 
 8         {
 9             var more = await reader.WaitToReadAsync();
10             if (!more) 
11             {
12                 break;
13             }
14 
15             IOutboundMessage message = default;
16             var number = 0;
17             try 
18             {
19                 while (number < 4 && reader.TryRead(out message) && message != null) 
20                 {
21                     Interlocked.Decrement(ref this.queueCount);
22                     var msg = message.Inner as IMessage;
23                     var buffer = msg.ToByteBuffer(allocator);
24                     channel.WriteAsync(buffer);
25                     number++;
26                 }
27                 channel.Flush();
28                 number = 0;
29             }
30             catch (Exception e)  when(message != default)
31             {
32                 logger.LogError("SendOutboundMessage Fail, SessionID:{0}, Exception:{1}",
33                     this.sessionID, e.Message);
34                 this.messageCenter.OnMessageFail(message);
35             }
36         }
37         this.logger.LogInformation("SessionID:{0}, SendingLoop Exit", this.sessionID);
38     });
39 }

第19-27行是关键, 这边每4个包做一下flush, 然后flush会触发DotNetty的DoWrite:

 1 protected override void DoWrite(ChannelOutboundBuffer input)
 2 {
 3     List<ArraySegment<byte>> sharedBufferList = null;
 4     try
 5     {
 6         while (true)
 7         {
 8             int size = input.Size;
 9             if (size == 0)
10             {
11                 // All written
12                 break;
13             }
14             long writtenBytes = 0;
15             bool done = false;
16 
17             // Ensure the pending writes are made of ByteBufs only.
18             int maxBytesPerGatheringWrite = ((TcpSocketChannelConfig)this.config).GetMaxBytesPerGatheringWrite();
19             sharedBufferList = input.GetSharedBufferList(1024, maxBytesPerGatheringWrite);
20             int nioBufferCnt = sharedBufferList.Count;
21             long expectedWrittenBytes = input.NioBufferSize;
22             Socket socket = this.Socket;
23 
24             List<ArraySegment<byte>> bufferList = sharedBufferList;
25             // Always us nioBuffers() to workaround data-corruption.
26             // See https://github.com/netty/netty/issues/2761
27             switch (nioBufferCnt)
28             {
29                 case 0:
30                     // We have something else beside ByteBuffers to write so fallback to normal writes.
31                     base.DoWrite(input);
32                     return;
33                 default:
34                     for (int i = this.Configuration.WriteSpinCount - 1; i >= 0; i--)
35                     {
36                         long localWrittenBytes = socket.Send(bufferList, SocketFlags.None, out SocketError errorCode);
37                         if (errorCode != SocketError.Success && errorCode != SocketError.WouldBlock)
38                         {
39                             throw new SocketException((int)errorCode);
40                         }

DotNetty TcpSocketChannel类的DoWrite函数, 19行获取当前ChannelOutboundBuffer的Segment<byte>数组, 然后在36行调用Socket.Send一次性发出去, 这个是Gathering Write的关键. 有了这个, 就可以不在业务层用CompositeByteBuffer.

DotNetty Libuv Transport的实现可以看6, 思想是类似的.

 

实际上Orleans 3.x做的网络优化, 也有类似的思想:

 1 private async Task ProcessOutgoing()
 2 {
 3     await Task.Yield();
 4 
 5     Exception error = default;   
 6     PipeWriter output = default;
 7     var serializer = this.serviceProvider.GetRequiredService<IMessageSerializer>();
 8     try
 9     {
10         output = this.Context.Transport.Output;
11         var reader = this.outgoingMessages.Reader;
12         if (this.Log.IsEnabled(LogLevel.Information))
13         {
14             this.Log.LogInformation(
15                 "Starting to process messages from local endpoint {Local} to remote endpoint {Remote}",
16                 this.LocalEndPoint,
17                 this.RemoteEndPoint);
18         }
19 
20         while (true)
21         {
22             var more = await reader.WaitToReadAsync();
23             if (!more)
24             {
25                 break;
26             }
27 
28             Message message = default;
29             try
30             {
31                 while (inflight.Count < inflight.Capacity && reader.TryRead(out message) && this.PrepareMessageForSend(message))
32                 {
33                     inflight.Add(message);
34                     var (headerLength, bodyLength) = serializer.Write(ref output, message);
35                     MessagingStatisticsGroup.OnMessageSend(this.MessageSentCounter, message, headerLength + bodyLength, headerLength, this.ConnectionDirection);
36                 }
37             }
38             catch (Exception exception) when (message != default)
39             {
40                 this.OnMessageSerializationFailure(message, exception);
41             }
42 
43             var flushResult = await output.FlushAsync();
44             if (flushResult.IsCompleted || flushResult.IsCanceled)
45             {
46                 break;
47             }
48 
49             inflight.Clear();
50         }

核心在31行, 开始写, 43行开始flush, 只不过Orleans用的pipelines io, DotNetty是传统模型.

 

这样做, 可以在有限的pps下, 支撑更高的吞吐量.

 

个人感觉DotNetty更好用一些.

 

参考:

1. https://github.com/Azure/DotNetty/blob/dev/src/DotNetty.Transport/Channels/Sockets/TcpSocketChannel.cs#L271-L288

2. https://github.com/dotnet/orleans/blob/master/src/Orleans.Core/Networking/Connection.cs#L282-L294

3. https://docs.microsoft.com/zh-cn/windows/win32/winsock/scatter-gather-i-o-2

4. https://linux.die.net/man/2/writev

5. https://github.com/chenshuo/muduo/blob/d980315dc054b122612f423ee2e1316cb14bd3b5/muduo/net/Buffer.cc#L28-L38

6. https://github.com/Azure/DotNetty/blob/dev/src/DotNetty.Transport.Libuv/Native/WriteRequest.cs#L106-L128

 

posted @ 2020-02-12 15:52  egmkang  阅读(2419)  评论(0编辑  收藏  举报