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(); } } } }
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; } }
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 }
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; } }
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; } } }
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(); } }
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……