WCF 消息压缩性能问题及解决方法

最近使用WCF作为通迅框架开发一套信息系统,系统使用传统C/S框架,系统有可能会部署在互联网上,因此决定对传输的数据进行GZIP压缩,原来在使用.NET Remoting时,可以使用插入自定义的ChannelSink来实现数据压缩,作为.NET Remoting的替代方案的WCF,实现起来也很容易,且方法不止一种,主要解决方法主要有以下四种:

相比较,第三和第四实现相对简单,配置很简单,它们的内部实现方法很类似,我的消息压缩类也来源于WCF大师Artech的博客《通过WCF扩展实现消息压缩》的消息压缩类,区别在于第三在自定义MessageFormatter中对消息进行压缩和解压缩,而第四是在自定义MessageInspector中对消息进行压缩和解压缩。下面给出第四种实现方法(网络上也很多):

一、Compress-压缩与解压缩类

/// <summary>
    /// 压缩解压缩类
    /// </summary>
    public class Compress
    {

        public static byte[] Zip(byte[] sourceBytes)
        {
            using (MemoryStream mStream = new MemoryStream())
            {
                GZipStream gStream = new GZipStream(mStream, CompressionMode.Compress);
                gStream.Write(sourceBytes, 0, sourceBytes.Length);
                gStream.Close();
                return mStream.ToArray();
            }
        }

        public static byte[] UnZip(byte[] sourceBytes)
        {
            using (MemoryStream mStream = new MemoryStream())
            {
                using (GZipStream gStream = new GZipStream(new MemoryStream(sourceBytes), CompressionMode.Decompress))
                {
                    int readBytes = 0;
                    byte[] buffer = new byte[1024];
                    while ((readBytes = gStream.Read(buffer, 0, buffer.Length)) > 0)
                    {
                        mStream.Write(buffer, 0, readBytes);
                    }
                    return mStream.ToArray();
                }
            }
        }
  }
压缩与解压缩类

二、MessageCompressor—消息压缩与解压类

/// <summary>
    /// 消息压缩类
    /// </summary>
    public static class MessageCompress
    {
        public static string Namespace = "http://myjece";
        public static Message CompressMessage(Message sourceMessage)
        {
            byte[] buffer;
            string sourceBody;
            using (XmlDictionaryReader reader1 = sourceMessage.GetReaderAtBodyContents())
            {
                sourceBody = reader1.ReadOuterXml();
                buffer = Encoding.UTF8.GetBytes(sourceBody);
            }

            XmlTextReader reader;
            if (buffer.Length > 256)
            {
                byte[] compressedData = Compress.Zip(buffer);
                string compressedBody = CreateCompressedBody(compressedData);
                reader = new XmlTextReader(new StringReader(compressedBody), new NameTable());
                sourceMessage.AddCompressionHeader();
            }
            else
            {
                reader = new XmlTextReader(new StringReader(sourceBody), new NameTable());
            }
            Message message = Message.CreateMessage(sourceMessage.Version, null, (XmlReader)reader);
            message.Headers.CopyHeadersFrom(sourceMessage);
            message.Properties.CopyProperties(sourceMessage.Properties);
            sourceMessage.Close();
            return message;



        }

        public static Message DeCompressMessage(Message sourceMessage)
        {
            if (!sourceMessage.IsCompressed())
            {
                return sourceMessage;
            }
            else
            {
                sourceMessage.RemoveCompressionHeader();
                string deCompressedBody = Encoding.UTF8.GetString(Compress.UnZip(sourceMessage.GetCompressedBody()));

                XmlTextReader reader = new XmlTextReader(new StringReader(deCompressedBody), new NameTable());
                Message message = Message.CreateMessage(sourceMessage.Version, null, (XmlReader)reader);
                message.Headers.CopyHeadersFrom(sourceMessage);
                message.Properties.CopyProperties(sourceMessage.Properties);
                message.AddCompressionHeader();
                //sourceMessage.Close();
                return message;
            }
        }

        public static bool IsCompressed(this Message message)
        {
            return message.Headers.FindHeader("Compression", Namespace) > -1;
        }

        public static void AddCompressionHeader(this Message message)
        {
            message.Headers.Add(MessageHeader.CreateHeader("Compression", Namespace, "GZip"));
        }

        public static void RemoveCompressionHeader(this Message message)
        {
            message.Headers.RemoveAll("Compression", Namespace);
        }

        public static string CreateCompressedBody(byte[] content)
        {
            StringWriter output = new StringWriter();
            using (XmlWriter writer2 = XmlWriter.Create(output))
            {
                writer2.WriteStartElement("CompressedBody", Namespace);
                writer2.WriteBase64(content, 0, content.Length);
                writer2.WriteEndElement();
            }
            return output.ToString();
        }

        public static byte[] GetCompressedBody(this Message message)
        {
            byte[] buffer;
            using (XmlReader reader1 = message.GetReaderAtBodyContents())
            {
                buffer = Convert.FromBase64String(reader1.ReadElementString("CompressedBody", Namespace));
            }
            return buffer;
        }


    }
消息压缩与解压缩类

三、ClientCompressionInspector-客户端对消息进行压缩与解压缩的消息检查器

        private class ClientCompressionInspector : IClientMessageInspector
        {
            #region IClientMessageInspector Members
            public void AfterReceiveReply(ref System.ServiceModel.Channels.Message reply, object correlationState)
            {
                reply = MessageCompress.DeCompressMessage(reply);
            }

            public object BeforeSendRequest(ref System.ServiceModel.Channels.Message request, System.ServiceModel.IClientChannel channel)
            {
                //加入一个消息头,表明客户端支持gzip消息压缩与解压缩
                request.Headers.Add(MessageHeader.CreateHeader("AcceptEncoding", "http://myjece", "gzip"));
                request = MessageCompress.CompressMessage(request);
                return null;
            }

            #endregion

        }
客户端对消息进行压缩与解压缩的消息检查器

 

public class ClientCompressionBehavior : BehaviorExtensionElement, IEndpointBehavior
    {
        public override Type BehaviorType
        {
            get
            {
                return typeof(ClientCompressionBehavior);
            }
        }

        protected override object CreateBehavior()
        {
            return new ClientCompressionBehavior();
        }

        #region IEndpointBehavior Members

        public void AddBindingParameters(ServiceEndpoint endpoint,
            System.ServiceModel.Channels.BindingParameterCollection bindingParameters)
        {
            return;
        }

        public void ApplyClientBehavior(ServiceEndpoint endpoint,
            System.ServiceModel.Dispatcher.ClientRuntime clientRuntime)
        {
            clientRuntime.MessageInspectors.Add(new ClientCompressInspector());
        }

        public void ApplyDispatchBehavior(ServiceEndpoint endpoint,
            System.ServiceModel.Dispatcher.EndpointDispatcher endpointDispatcher)
        {

        }

        public void Validate(ServiceEndpoint endpoint)
        {
            return;
        }
   }
客户端用于插入压缩消息检查器的终节点行为器

四、ServiceCompressInspector-服务端对消息进行压缩与解压缩的消息检查器

 public class ServiceCompressInspector : IDispatchMessageInspector
    {    

        public object AfterReceiveRequest(ref System.ServiceModel.Channels.Message request, System.ServiceModel.IClientChannel channel, System.ServiceModel.InstanceContext instanceContext)
        {
            request = MessageCompress.DeCompressMessage(request);
            return null;
        }

        public void BeforeSendReply(ref System.ServiceModel.Channels.Message reply, object correlationState)
        {
            if (GetHeader("AcceptEncoding") == "gzip")
            {
                reply = MessageCompress.CompressMessage(reply);
            }
        }
        public static string GetHeader(string headerName)
        {
            if (OperationContext.Current.IncomingMessageHeaders.FindHeader(headerName, "http://myjece") >= 0)
                {
                    return OperationContext.Current.IncomingMessageHeaders.GetHeader<string>(headerName, "http://myjece");
                }
                else
                {
                    return null;
                }
        }
    }    
服务端对消息进行压缩与解压缩的消息检查器
 public class ServiceCompressBehavior : BehaviorExtensionElement, IServiceBehavior
    {
        public void AddBindingParameters(ServiceDescription serviceDescription, System.ServiceModel.ServiceHostBase serviceHostBase, System.Collections.ObjectModel.Collection<ServiceEndpoint> endpoints, System.ServiceModel.Channels.BindingParameterCollection bindingParameters)
        {
            //throw new NotImplementedException();
        }

       
        public void ApplyDispatchBehavior(ServiceDescription serviceDescription, System.ServiceModel.ServiceHostBase serviceHostBase)
        {
            foreach (ChannelDispatcher chDisp in serviceHostBase.ChannelDispatchers)
            {                
                foreach (EndpointDispatcher epDisp in chDisp.Endpoints)
                {
                    epDisp.DispatchRuntime.MessageInspectors.Add(new ServiceCompressInspector());
                }
            }

        }

        public void Validate(ServiceDescription serviceDescription, System.ServiceModel.ServiceHostBase serviceHostBase)
        {
            //throw new NotImplementedException();
        }

        public override Type BehaviorType
        {
            get { return typeof(ServiceCompressBehavior); }
        }

        protected override object CreateBehavior()
        {
            return new ServiceCompressBehavior();
        }
    }
服务端用于插入压缩消息检查器和服务端行为器

五、服务端配置

在system.serviceModel节点下添加:

<extensions>
      <behaviorExtensions>
        <add name="compressBehavior" type="ServiceCompressBehavior, Service, Version=1.0.0.0, Culture=neutral, PublicKeyToken=null" />
      </behaviorExtensions>
    </extensions>
<behaviors>
      <serviceBehaviors>
        <behavior>
          <compressBehavior />         </behavior>
      </serviceBehaviors>
</behaviors>

好了,上面的基本的实现,可以通过在客户端行为器中添加AcceptEncoding=gzip的消息头来确定服务端返回的消息是否也可以(需要)进行压缩,实际运行结果也正常,但后来发现在进行大量byte[]类型数据传输时,发现有延时,几百K有数据,在局域网(排除网络问题)内,尽然达到2秒左右延时,开始怀疑的GZIP压缩类有问题,后发现,压缩类的对数据进行压缩时,耗时极小,一般几毫秒到几十毫秒之间,最后,只能逐语句进行排查,发现问题在消息压缩类中的:

 using (XmlDictionaryReader reader1 = sourceMessage.GetReaderAtBodyContents())
            {
                sourceBody = reader1.ReadOuterXml();                 buffer = Encoding.UTF8.GetBytes(sourceBody);
            }

Message在经过每一层消息检查器时,都是以Message方法进行传递,只有到达TransportBinding上编码器时,才会对Message进行编码,或文本,或二进制,但在我上面的消息压缩中,先从原Message中获取Body内容,然后对Body进行压缩,再把压缩Body封装进新的Message中,问题就出在获取Body内容中,XmlDictionaryReader 的ReadOuterXml()方法相当对Body进行了XML的编码,所以导致了性能问题。解决问题的根本在于找到一个能获取到Body内容,又能避免提前对Body内容进行XML编码的方法。 

将上述代码改为以下代码后,性能得以大幅提升:

 MemoryStream ms = new MemoryStream();
            XmlDictionaryWriter writer = XmlDictionaryWriter.CreateTextWriter(ms, Encoding.UTF8);
            sourceMessage.WriteBodyContents(writer);
            writer.Flush();
            buffer=ms.ToArray();

但最终获取到的buffer是一致的,是什么原因导致它们之间有巨大的性能差异就不得而知了……

 

 

 

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