protobuf-net 与 C#中几种序列化的比较 - E不小心 - 博客园
C#中几种序列化的比较，此次比较只是比较了 序列化的耗时和序列后文件的大小。
几种序列化分别是：
1.&XmlSerializer
2.&BinaryFormatter
3.&DataContractSerializer
4.&DataContractJsonSerializer
5.&protobuf-net
前四种为.Net 自带的类库，最后一种为 Google&Protocol Buffers
首先，选做一个实体类，做为序列化的对象，加入了一个可序列化的字典，让实体类 稍稍的复杂一点。
[Serializable]
[ProtoContract]
public class User
[ProtoMember(1)]
public int ID { get; set; }
[ProtoMember(2)]
public string Name { get; set; }
[ProtoMember(3)]
public int Age { get; set; }
[ProtoMember(4)]
public SerializableDictionary&Guid, Guid& Dictionary { get; set; }
[Serializable]
public class SerializableDictionary&TKey, TValue& : Dictionary&TKey, TValue&, IXmlSerializable
public void WriteXml(XmlWriter write)
// Serializer
var keySerializer = new XmlSerializer(typeof(TKey));
var valueSerializer = new XmlSerializer(typeof(TValue));
foreach (KeyValuePair&TKey, TValue& kv in this)
write.WriteStartElement("SerializableDictionary");
write.WriteStartElement("key");
keySerializer.Serialize(write, kv.Key);
write.WriteEndElement();
write.WriteStartElement("value");
valueSerializer.Serialize(write, kv.Value);
write.WriteEndElement();
write.WriteEndElement();
public void ReadXml(XmlReader reader)
// Deserializer
reader.Read();
var keySerializer = new XmlSerializer(typeof(TKey));
var valueSerializer = new XmlSerializer(typeof(TValue));
while (reader.NodeType != XmlNodeType.EndElement)
reader.ReadStartElement("SerializableDictionary");
reader.ReadStartElement("key");
TKey tk = (TKey)keySerializer.Deserialize(reader);
reader.ReadEndElement();
reader.ReadStartElement("value");
TValue vl = (TValue)valueSerializer.Deserialize(reader);
reader.ReadEndElement();
reader.ReadEndElement();
this.Add(tk, vl);
reader.MoveToContent();
reader.ReadEndElement();
public XmlSchema GetSchema()
return null;
然后，初始化一个集合，有1000个User对象，每个User对象中的字典，有500对Guid
var list = new List&User&();
var random = new Random();
for (int i = 0; i & 1000; i++)
var id = random.Next(0, 10000);
var user = new User
Name = "Name" + id,
Age = random.Next(1, 100)
var dic = new SerializableDictionary&Guid, Guid&();
for (int j = 0; j & 500; j++)
dic.Add(Guid.NewGuid(), Guid.NewGuid());
user.Dictionary =
list.Add(user);
最后，开始序列化，计时用&Stopwatch
1. Xml序列化
Stopwatch sw = new Stopwatch();
//XmlSerializer
sw.Start();
var xmlSerializer = new XmlSerializer(typeof(List&User&));
const string xmlfile = "xml.txt";
var fi = new FileInfo(xmlfile);
using (var stream = fi.Create())
xmlSerializer.Serialize(stream, list);
sw.Stop();
fi.Refresh();
Console.WriteLine("XML Time : {0} , Size : {1}K", sw.Elapsed, fi.Length / 1024);
2. 二进制序列化
//BinarySerializer
sw.Restart();
var binarySerializer = new BinaryFormatter();
const string binaryfile = "binary.txt";
var binaryfi = new FileInfo(binaryfile);
using (var stream = binaryfi.Create())
binarySerializer.Serialize(stream, list);
sw.Stop();
binaryfi.Refresh();
Console.WriteLine("Binary Time : {0} , Size : {1}K", sw.Elapsed, binaryfi.Length / 1024);
3.&DataContractSerializer
//DataContractSerializer
sw.Restart();
var dataContractSerializer = new DataContractSerializer(typeof(List&User&));
const string dataContractfile = "dataContract.txt";
var dataContractfi = new FileInfo(dataContractfile);
using (var stream = dataContractfi.Create())
dataContractSerializer.WriteObject(stream, list);
sw.Stop();
fi.Refresh();
Console.WriteLine("DataContrac Time : {0} , Size : {1}K", sw.Elapsed, dataContractfi.Length / 1024);
4.&DataContractJsonSerializer
//DataContractJsonSerializer
sw.Restart();
var dataContractJsonSerializer = new DataContractJsonSerializer(typeof(List&User&));
const string dataContractJsonfile = "dataContractJson.txt";
var dataContractJsonfi = new FileInfo(dataContractJsonfile);
using (var stream = dataContractJsonfi.Create())
dataContractJsonSerializer.WriteObject(stream, list);
sw.Stop();
fi.Refresh();
Console.WriteLine("DataContractJson Time : {0} , Size : {1}K", sw.Elapsed, dataContractJsonfi.Length / 1024);
5.&protobuf-net
sw.Restart();
//protobuf-net
const string protobuffile = "buffer.txt";
var pbfi = new FileInfo(protobuffile);
using (var stream = pbfi.Create())
Serializer.Serialize(stream, list);
sw.Stop();
fi.Refresh();
Console.WriteLine("Protobuf-net Time : {0} , Size : {1}K", sw.Elapsed, pbfi.Length / 1024);
我连续，测了N次，只贴上3次的结果吧：
看这个结果，Protobuf-net 无论序列化速度，还是序列化的体积都完胜其他几种。
此测试只是个人无聊而为，如果有不合理的地方，请大家指出来。otobuf-net 与 C#中几种序列化的比较C#中几种序列化的比较，此次比较只是比较了 序列化的耗时和序列后文件的大小。几种序列化分别是：1.Serializer2.BinaryFormatter3.DataContractSerializer4.DataContractJsonSerializer5.protobuf-net前四种为.Net 自带的类库，最后一种为 GoogleProtocol Buffers首先，选做一个实体类，做为序列化的对象，加入了一个可序列化的字典，让实体类 稍稍的复杂一点。Code:
[Serializable]
[ProtoContract]
public class User
[ProtoMember(1)]
public int ID { }
[ProtoMember(2)]
public string Name { }
[ProtoMember(3)]
public int Age { }
[ProtoMember(4)]
public SerializableDictionary&Guid, Guid& Dictionary { }
[Serializable]
public class SerializableDictionary&TKey, TValue& : Dictionary&TKey, TValue&, IXmlSerializable
public void WriteXml(XmlWriter write)
// Serializer
var keySerializer = new XmlSerializer(typeof(TKey));
var valueSerializer = new XmlSerializer(typeof(TValue));
foreach (KeyValuePair&TKey, TValue& kv in this)
write.WriteStartElement("SerializableDictionary");
write.WriteStartElement("key");
keySerializer.Serialize(write, kv.Key);
write.WriteEndElement();
write.WriteStartElement("value");
valueSerializer.Serialize(write, kv.Value);
write.WriteEndElement();
write.WriteEndElement();
public void ReadXml(XmlReader reader)
// Deserializer
reader.Read();
var keySerializer = new XmlSerializer(typeof(TKey));
var valueSerializer = new XmlSerializer(typeof(TValue));
while (reader.NodeType != XmlNodeType.EndElement)
reader.ReadStartElement("SerializableDictionary");
reader.ReadStartElement("key");
TKey tk = (TKey)keySerializer.Deserialize(reader);
reader.ReadEndElement();
reader.ReadStartElement("value");
TValue vl = (TValue)valueSerializer.Deserialize(reader);
reader.ReadEndElement();
reader.ReadEndElement();
this.Add(tk, vl);
reader.MoveToContent();
reader.ReadEndElement();
public XmlSchema GetSchema()
}然后，初始化一个集合，有1000个User对象，每个User对象中的字典，有500对Guid
var list = new List&User&();
var random = new Random();
for (int i = 0; i & 1000; i++)
var id = random.Next(0, 10000);
var user = new User
Name = "Name" + id,
Age = random.Next(1, 100)
var dic = new SerializableDictionary&Guid, Guid&();
for (int j = 0; j & 500; j++)
dic.Add(Guid.NewGuid(), Guid.NewGuid());
user.Dictionary =
list.Add(user);
}最后，开始序列化，计时用Stopwatch1. Xml序列化
Stopwatch sw = new Stopwatch();
//XmlSerializer
sw.Start();
var xmlSerializer = new XmlSerializer(typeof(List&User&));
const string xmlfile = "xml.txt";
var fi = new FileInfo(xmlfile);
using (var stream = fi.Create())
xmlSerializer.Serialize(stream, list);
sw.Stop();
fi.Refresh();
Console.WriteLine("XML Time : {0} , Size : {1}K", sw.Elapsed, fi.Length / 1024);View Code2. 二进制序列化
//BinarySerializer
sw.Restart();
var binarySerializer = new BinaryFormatter();
const string binaryfile = "binary.txt";
var binaryfi = new FileInfo(binaryfile);
using (var stream = binaryfi.Create())
binarySerializer.Serialize(stream, list);
sw.Stop();
binaryfi.Refresh();
Console.WriteLine("Binary Time : {0} , Size : {1}K", sw.Elapsed, binaryfi.Length / 1024);View Code3.DataContractSerializer
//DataContractSerializer
sw.Restart();
var dataContractSerializer = new DataContractSerializer(typeof(List&User&));
const string dataContractfile = "dataContract.txt";
var dataContractfi = new FileInfo(dataContractfile);
using (var stream = dataContractfi.Create())
dataContractSerializer.WriteObject(stream, list);
sw.Stop();
fi.Refresh();
Console.WriteLine("DataContrac Time : {0} , Size : {1}K", sw.Elapsed, dataContractfi.Length / 1024);View Code4.DataContractJsonSerializer
//DataContractJsonSerializer
sw.Restart();
var dataContractJsonSerializer = new DataContractJsonSerializer(typeof(List&User&));
const string dataContractJsonfile = "dataContractJson.txt";
var dataContractJsonfi = new FileInfo(dataContractJsonfile);
using (var stream = dataContractJsonfi.Create())
dataContractJsonSerializer.WriteObject(stream, list);
sw.Stop();
fi.Refresh();
Console.WriteLine("DataContractJson Time : {0} , Size : {1}K", sw.Elapsed, dataContractJsonfi.Length / 1024);View Code5.protobuf-net
sw.Restart();
//protobuf-net
const string protobuffile = "buffer.txt";
var pbfi = new FileInfo(protobuffile);
using (var stream = pbfi.Create())
Serializer.Serialize(stream, list);
sw.Stop();
fi.Refresh();
Console.WriteLine("Protobuf-net Time : {0} , Size : {1}K", sw.Elapsed, pbfi.Length / 1024);View
优质网站模板protobuf-rpc-pro 3.0 发布，RPC 框架_Linux新闻_Linux公社-Linux系统门户网站
你好，游客
protobuf-rpc-pro 3.0 发布，RPC 框架
来源：oschina.net&
作者：Linux
protobuf-rpc-pro 3.0 发布，该版本最主要的改进就是支持 RPC 超时功能。
protobuf-rpc-pro 是一个Java类库，提供了基于 Google 的 Protocol Buffers 协议的远程方法调用的框架。基于 Netty 底层的 NIO 技术。支持 TCP 重用/ keep-alive、SSL加密、RPC 调用取消操作、嵌入式日志等功能。
protobuf-rpc-pro 的下载地址：
相关资讯 & & &
　　　同意评论声明
　　　发表
尊重网上道德，遵守中华人民共和国的各项有关法律法规
承担一切因您的行为而直接或间接导致的民事或刑事法律责任
本站管理人员有权保留或删除其管辖留言中的任意内容
本站有权在网站内转载或引用您的评论
参与本评论即表明您已经阅读并接受上述条款