1，什么是序列化？
序列化 (Serialization)将对象的状态信息转换为可以存储或传输的形式的过程。在序列化期间，对象将其当前状态写入到临时或持久性存储区。以后，可以通过从存储区中读取或反序列化对象的状态，重新创建该对象。序列化使其他代码可以查看或修改那些不序列化便无法访问的对象实例数据。确切地说，代码执行序列化需要特殊的权限：即指定了 SerializationFormatter 标志的 SecurityPermission。在默认策略下，通过 Internet 下载的代码或 Intranet 代码不会授予该权限；只有本地计算机上的代码才被授予该权限。
2.为什么使用序列化？
a. 一个原因是将对象的状态保持在存储媒体中，以便可以在以后重新创建精确的副本。我们经常需要将对象的字段值保存到磁盘 中，并在以后检索此数据。尽管不使用序列化也能完成这项工作，但这种方法通常很繁琐而且容易出错，并且在需要跟踪对象的层次结构时，会变得越来越复杂。可 以想象一下编写包含大量对象的大型业务应用程序的情形，程序员不得不为每一个对象编写代码，以便将字段和属性保存至磁盘以及从磁盘还原这些字段和属性。序列化提供了轻松实现这个目标的快捷方法。
b.另一个原因是通过值将对象从一个应用程序域发送到另一个应用程序域中。例如，序列化可用于在 ASP.NET 中保存会话状态并将对象复制到 Windows 窗体的剪贴板中。远程处理还可以使用序列化通过值将对象从一个应用程序域传递到另一个应用程序域中。
(序列化技术的主要两个目的是：持久化存、储按值封送、数据保护。)
3怎样进行序列化和反序列化？
a .XML序列化
添加System.Runtime.Serialization.Formatters.Binary命名空间；
b. 二进制序列化
添加System.Xml.Serialization命名空间；
NoSerialized属性被Xmllgnore属性替代；
c.soap序列化
典型应用：web service.
下面看一下二进制序列化:
using System;
using System.Collections.Generic;
using System.IO;
using System.Linq;
using System.Runtime.Serialization;
using System.Runtime.Serialization.Formatters.Binary;
using System.Text;
using System.Threading.Tasks; namespace serial1
{
/// <summary>
/// Person类的序列化
/// </summary>
[Serializable]
public class Person
{
public string Sno { get; set; }
public string Name { get; set; }
public string Sex { get; set; }
public int Age { get; set; }
public string Other { get; set; } //非序列化的属性
[NonSerialized]
public string NoSerial; /// <summary>
/// 成员函数
/// </summary>
/// <returns></returns>
public string DisplayInfo()
{
return "我的学号是：" + Sno + "\n我的名字是：" + Name + "\n我的性别为：" + Sex + "\n我的年龄：" + Age + "\n非序列化:" + NoSerial+"\n";
}
} class Program
{
static void Main(string[] args)
{ //实例化两个对象
var me = new Person
{
Sno = "",
Name = "wuzhang",
Sex = "man",
Age = ,
NoSerial="不被序列化1",
Other = "\n" };
var he = new Person
{
Sno = "",
Name = "wanggang",
Sex = "man",
Age = ,
NoSerial = "不被序列化2",
Other = "\n" };
List<Person> personInfo = new List<Person>();
personInfo.Add(me);
personInfo.Add(he);
//创建一个格式化程序的实例
IFormatter formatter = new BinaryFormatter();
//创建一个文件流
if (!File.Exists("F:\\TestTxt.txt"))
{
//FileStream fs1 = new FileStream("F:\\TestTxt.txt", FileMode.Create, FileAccess.Write);//创建写入文件
Stream stream = new FileStream("F:\\TestTxt.txt", FileMode.OpenOrCreate, FileAccess.Write, FileShare.None);
foreach(Person per in personInfo)
{
formatter.Serialize(stream, per);
}
stream.Close();
}
else
{
Stream stream = new FileStream("F:\\TestTxt.txt", FileMode.OpenOrCreate, FileAccess.Write, FileShare.None);
foreach (Person per in personInfo)
{
formatter.Serialize(stream, per);
}
stream.Close(); } Stream destream = new FileStream("F:\\TestTxt.txt", FileMode.Open,
FileAccess.Read, FileShare.Read);
var stillme = (Person)formatter.Deserialize(destream);
var stillme1 = (Person)formatter.Deserialize(destream); Console.WriteLine(stillme.DisplayInfo());
Console.WriteLine(stillme1.DisplayInfo()); destream.Close(); Console.ReadLine();
}
}
}
运行结果:
aaarticlea/png;base64,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*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*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" 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ZRnjsaQjvfhaX5tvM9tVxkXTf0Ct3lc53vdfZPPQnGtaklxlWgQmbAE5sttpljUWT*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" 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" alt="" />
其它两种方式就不再实验了，搞定!