DataContext 其实封装了很多实用的功能,下面一一介绍。
日志功能
using System.IO; NorthwindDataContext ctx = new NorthwindDataContext("server=xxx;database=Northwind;uid=xxx;pwd=xxx"); StreamWriter sw = new StreamWriter(Server.MapPath("log.txt"), true); // Append ctx.Log = sw; GridView1.DataSource = from c in ctx.Customers where c.CustomerID.StartsWith("A") select new { 顾客ID = c.CustomerID, 顾客名 = c.Name, 城市 = c.City }; GridView1.DataBind(); sw.Close();
运行程序后在网站所在目录生成了log.txt ,每次查询都会把诸如下面的日志追加到文本文件中:
SELECT [t0].[CustomerID], [t0].[ContactName], [t0].[City] FROM [Customers] AS [t0] WHERE [t0].[CustomerID] LIKE @p0 -- @p0: Input String (Size = 2; Prec = 0; Scale = 0) [A%] -- Context: SqlProvider(Sql2005) Model: AttributedMetaModel Build: 3.5.20706.1
应该说这样的日志对于调试程序是非常有帮助的。
探究查询
using System.Data.Common; using System.Collections.Generic; NorthwindDataContext ctx = new NorthwindDataContext("server=xxx;database=Northwind;uid=xxx;pwd=xxx"); var select = from c in ctx.Customers where c.CustomerID.StartsWith("A") select new { 顾客ID = c.CustomerID, 顾客名 = c.Name, 城市 = c.City }; DbCommand cmd = ctx.GetCommand(select); Response.Write(cmd.CommandText + "<br/>"); foreach (DbParameter parm in cmd.Parameters) Response.Write(string.Format(" 参数名:{0}, 参数值:{1}<br/>", parm.ParameterName, parm.Value)); Customer customer = ctx.Customers.First(); customer.Name = "zhuye"; IList<object> queryText = ctx.GetChangeSet().ModifiedEntities; Response.Write(((Customer)queryText[0]).Name);
在这里,我们通过DataContext 的GetCommand 方法获取了查询对应的DbCommand ,并且输出了CommandText 和所有的DbParameter 。之后,我们又通过GetChangeSet 方法获取了修改后的实体,并输出了修改内容。
执行查询
NorthwindDataContext ctx = new NorthwindDataContext("server=xxx;database=Northwind;uid=xxx;pwd=xxx"); string newcity = "Shanghai"; ctx.ExecuteCommand("update Customers set City={0} where CustomerID like 'A%'", newcity); IEnumerable<Customer> customers = ctx.ExecuteQuery<Customer>("select * from Customers where CustomerID like 'A%'"); GridView1.DataSource = customers; GridView1.DataBind();
前一篇文章已经说了,虽然Linq to sql 能实现90 %以上的TSQL 功能。但是不可否认,对于复杂的查询,使用TSQL 能获得更好的效率。因此,DataContext 类型也提供了执行SQL 语句的能力。代码的执行结果如下图: