对于mvc代码优先原则,感觉真不知道为什么硬要设计这种模式,代码优先使得每次运行程序都要重建数据库,现实中这种模式有什么用呢。
数据库优先可能有好多方式,看了好久才做出来一种比较简单的。通过先添加一个ADO.NET实体数据库模型,创建同数据库的连接,再添加一个Controller,实现对刚生成数据库模型文件的调用,完成mvc项目对本地数据库的增删改查。
步骤如下:
1.在服务器资源管理器创建你所要访问的数据库连接。
2.在项目中添加一个ADO.NET 实体数据库模型(我把这个模型添加在了一个ADO.Data的文件夹下了)。右键项目-》添加-》右侧数据-》ADO.NET 实体数据库模型-》选择从数据库生成-》找到你的数据库连接-》选择你需要的数据表-》完成。
这个时候你应该得到一个这个文件了,如果命名时选的默认:
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" alt="" />
Model1.Designer.cs里面,已经写入了对student表的增删改查操作:
//------------------------------------------------------------------------------
// <auto-generated>
// 此代码是根据模板生成的。
//
// 手动更改此文件可能会导致应用程序中发生异常行为。
// 如果重新生成代码,则将覆盖对此文件的手动更改。
// </auto-generated>
//------------------------------------------------------------------------------ using System;
using System.ComponentModel;
using System.Data.EntityClient;
using System.Data.Objects;
using System.Data.Objects.DataClasses;
using System.Linq;
using System.Runtime.Serialization;
using System.Xml.Serialization; [assembly: EdmSchemaAttribute()]
namespace MvcApp410DF.ADO.Data
{
#region 上下文 /// <summary>
/// 没有元数据文档可用。
/// </summary>
public partial class ceshiEntities : ObjectContext
{
#region 构造函数 /// <summary>
/// 请使用应用程序配置文件的“ceshiEntities”部分中的连接字符串初始化新 ceshiEntities 对象。
/// </summary>
public ceshiEntities() : base("name=ceshiEntities", "ceshiEntities")
{
this.ContextOptions.LazyLoadingEnabled = true;
OnContextCreated();
} /// <summary>
/// 初始化新的 ceshiEntities 对象。
/// </summary>
public ceshiEntities(string connectionString) : base(connectionString, "ceshiEntities")
{
this.ContextOptions.LazyLoadingEnabled = true;
OnContextCreated();
} /// <summary>
/// 初始化新的 ceshiEntities 对象。
/// </summary>
public ceshiEntities(EntityConnection connection) : base(connection, "ceshiEntities")
{
this.ContextOptions.LazyLoadingEnabled = true;
OnContextCreated();
} #endregion #region 分部方法 partial void OnContextCreated(); #endregion #region ObjectSet 属性 /// <summary>
/// 没有元数据文档可用。
/// </summary>
public ObjectSet<student> students
{
get
{
if ((_students == null))
{
_students = base.CreateObjectSet<student>("students");
}
return _students;
}
}
private ObjectSet<student> _students; #endregion #region AddTo 方法 /// <summary>
/// 用于向 students EntitySet 添加新对象的方法,已弃用。请考虑改用关联的 ObjectSet<T> 属性的 .Add 方法。
/// </summary>
public void AddTostudents(student student)
{
base.AddObject("students", student);
} #endregion } #endregion #region 实体 /// <summary>
/// 没有元数据文档可用。
/// </summary>
[EdmEntityTypeAttribute(NamespaceName="ceshiModel", Name="student")]
[Serializable()]
[DataContractAttribute(IsReference=true)]
public partial class student : EntityObject
{
#region 工厂方法 /// <summary>
/// 创建新的 student 对象。
/// </summary>
/// <param name="s_id">s_id 属性的初始值。</param>
/// <param name="sname">sname 属性的初始值。</param>
/// <param name="spswd">spswd 属性的初始值。</param>
public static student Createstudent(global::System.String s_id, global::System.String sname, global::System.String spswd)
{
student student = new student();
student.s_id = s_id;
student.sname = sname;
student.spswd = spswd;
return student;
} #endregion #region 基元属性 /// <summary>
/// 没有元数据文档可用。
/// </summary>
[EdmScalarPropertyAttribute(EntityKeyProperty=true, IsNullable=false)]
[DataMemberAttribute()]
public global::System.String s_id
{
get
{
return _s_id;
}
set
{
if (_s_id != value)
{
Ons_idChanging(value);
ReportPropertyChanging("s_id");
_s_id = StructuralObject.SetValidValue(value, false);
ReportPropertyChanged("s_id");
Ons_idChanged();
}
}
}
private global::System.String _s_id;
partial void Ons_idChanging(global::System.String value);
partial void Ons_idChanged(); /// <summary>
/// 没有元数据文档可用。
/// </summary>
[EdmScalarPropertyAttribute(EntityKeyProperty=false, IsNullable=false)]
[DataMemberAttribute()]
public global::System.String sname
{
get
{
return _sname;
}
set
{
OnsnameChanging(value);
ReportPropertyChanging("sname");
_sname = StructuralObject.SetValidValue(value, false);
ReportPropertyChanged("sname");
OnsnameChanged();
}
}
private global::System.String _sname;
partial void OnsnameChanging(global::System.String value);
partial void OnsnameChanged(); /// <summary>
/// 没有元数据文档可用。
/// </summary>
[EdmScalarPropertyAttribute(EntityKeyProperty=false, IsNullable=false)]
[DataMemberAttribute()]
public global::System.String spswd
{
get
{
return _spswd;
}
set
{
OnspswdChanging(value);
ReportPropertyChanging("spswd");
_spswd = StructuralObject.SetValidValue(value, false);
ReportPropertyChanged("spswd");
OnspswdChanged();
}
}
private global::System.String _spswd;
partial void OnspswdChanging(global::System.String value);
partial void OnspswdChanged(); /// <summary>
/// 没有元数据文档可用。
/// </summary>
[EdmScalarPropertyAttribute(EntityKeyProperty=false, IsNullable=true)]
[DataMemberAttribute()]
public global::System.String ssex
{
get
{
return _ssex;
}
set
{
OnssexChanging(value);
ReportPropertyChanging("ssex");
_ssex = StructuralObject.SetValidValue(value, true);
ReportPropertyChanged("ssex");
OnssexChanged();
}
}
private global::System.String _ssex;
partial void OnssexChanging(global::System.String value);
partial void OnssexChanged(); /// <summary>
/// 没有元数据文档可用。
/// </summary>
[EdmScalarPropertyAttribute(EntityKeyProperty=false, IsNullable=true)]
[DataMemberAttribute()]
public Nullable<global::System.Int32> sage
{
get
{
return _sage;
}
set
{
OnsageChanging(value);
ReportPropertyChanging("sage");
_sage = StructuralObject.SetValidValue(value);
ReportPropertyChanged("sage");
OnsageChanged();
}
}
private Nullable<global::System.Int32> _sage;
partial void OnsageChanging(Nullable<global::System.Int32> value);
partial void OnsageChanged(); #endregion } #endregion }
在web.config文件里也添加了一项connectionstrings:
<add name="ceshiEntities" connectionString="metadata=res://*/ADO.Data.Model1.csdl|res://*/ADO.Data.Model1.ssdl|res://*/ADO.Data.Model1.msl;provider=System.Data.SqlClient;provider connection string="data source=localhost;initial catalog=ceshi;persist security info=True;user id=sa;password=1234;multipleactiveresultsets=True;App=EntityFramework"" providerName="System.Data.EntityClient" />
3.点击生成-》生成解决方案。
4.在Controllers下面添加你的controller。
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*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" alt="" />
注意你的Model class 和 Data context class 对应着在前面ADO.NET数据库模型中生成的类。
点击添加后如果不出现问题,应该没问题了。
运行下程序,更改路径到你的controller指定的页面:
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" alt="" />
有一点需要说明,这种数据库优的系统在数据库表结构改变的时候要对相应的class结构进行更改。
more:http://msdn.microsoft.com/en-us/data/jj200620.aspx