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在SQL Server数据库编写通用数据访问方法

 2007-07-21 09:46:14 来源:WEB开发网   
核心提示: using System;using System.Data;using System.Data.Common;using System.Data.SqlClient;using System.Data.OleDb;using System.Data.OracleClient;namesp
using System;
using System.Data;
using System.Data.Common;
using System.Data.SqlClient;
using System.Data.OleDb;
using System.Data.OracleClient;
namespace DAL
{
  public enum DatabaseType
  {
Access,
SQLServer,
Oracle
// 任何其他数据源类型
  }
  public enum ParameterType
  {
Integer,
Char,
VarChar
// 定义公用参数类型集
  }
  public class DataFactory
  {
private DataFactory(){}
public static IDbConnection CreateConnection
  (string ConnectionString,
  DatabaseType dbtype)
{
  IDbConnection cnn;
  switch(dbtype)
  {
case DatabaseType.Access:
  cnn = new OleDbConnection
(ConnectionString);
  break;
case DatabaseType.SQLServer:
  cnn = new SqlConnection
(ConnectionString);
  break;
case DatabaseType.Oracle:
  cnn = new OracleConnection
(ConnectionString);
  break;
default:
  cnn = new SqlConnection
(ConnectionString);
  break; 
  }
  return cnn;
}
public static IDbCommand CreateCommand
  (string CommandText, DatabaseType dbtype,
  IDbConnection cnn)
{
  IDbCommand cmd;
  switch(dbtype)
  {
case DatabaseType.Access:
  cmd = new OleDbCommand
(CommandText,
(OleDbConnection)cnn);
  break;
case DatabaseType.SQLServer:
  cmd = new SqlCommand
(CommandText,
(SqlConnection)cnn);
  break;
case DatabaseType.Oracle:
  cmd = new OracleCommand
(CommandText,
(OracleConnection)cnn);
  break;
default:
  cmd = new SqlCommand
(CommandText,
(SqlConnection)cnn);
  break;
  }
  return cmd;
}
public static DbDataAdapter CreateAdapter
  (IDbCommand cmd, DatabaseType dbtype)
{
  DbDataAdapter da;
  switch(dbtype)
  {
case DatabaseType.Access:
  da = new OleDbDataAdapter
((OleDbCommand)cmd);
  break;
case DatabaseType.SQLServer:
  da = new SqlDataAdapter
((SqlCommand)cmd);
  break;
case DatabaseType.Oracle:
  da = new OracleDataAdapter
((OracleCommand)cmd);
  break;
default:
  da = new SqlDataAdapter
((SqlCommand)cmd);
  break;
  }
  return da;
}
  }
}

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Tags:SQL Server 数据库

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