一步一步学Linq to sql(14)

IEnumerable products = ctx.Products.ToList(); 由于多个产品对应1个分类，多个详细订单对应1个订单，只有产品和详细订单才是多对1的关系，所以也只会有1

次SQL（不过这样的操作还是少执行为妙，消耗太大了）：

SELECT [t0].[ProductID], [t0].[ProductName], [t0].[SupplierID], [t0].[CategoryID], [t0].[QuantityPerUnit], [t0].[UnitPrice], [t0].[UnitsInStock], [t0].[UnitsOnOrder], [t0].[ReorderLevel], [t0].[Discontinued], [t3].[OrderID], [t3].[ProductID] AS [ProductID2], [t3].[UnitPrice] AS [UnitPrice2], [t3].[Quantity], [t3].[Discount], [t4].[OrderID] AS [OrderID2], [t4].[CustomerID], [t4].[EmployeeID], [t4].[OrderDate], [t4].[RequiredDate], [t4].[ShippedDate], [t4].[ShipVia], [t4].[Freight], [t4].[ShipName], [t4].[ShipAddress], [t4].[ShipCity], [t4].[ShipRegion], [t4].[ShipPostalCode], [t4].[ShipCountry], ( SELECT COUNT(*) FROM [dbo].[Order Details] AS [t5] INNER JOIN [dbo].[Orders] AS [t6] ON [t6].[OrderID] = [t5].[OrderID] WHERE [t5].[ProductID] = [t0].[ProductID] ) AS [count], [t2].[test], [t2].[CategoryID] AS [CategoryID2], [t2].[CategoryName], [t2].[Description], [t2].[Picture] FROM [dbo].[Products] AS [t0] LEFT OUTER JOIN ( SELECT 1 AS [test], [t1].[CategoryID], [t1].[CategoryName], [t1].[Description], [t1].[Picture] FROM [dbo].[Categories] AS [t1] ) AS [t2] ON [t2].[CategoryID] = [t0].[CategoryID] LEFT OUTER JOIN ([dbo].[Order Details] AS [t3] INNER JOIN [dbo].[Orders] AS [t4] ON [t4].[OrderID] = [t3].[OrderID]) ON [t3].[ProductID] = [t0].[ProductID] ORDER BY [t0].[ProductID], [t2].[CategoryID], [t3].[OrderID] 主键缓存

Linq to sql对查询过的对象进行缓存，之后的如果只根据主键查询一条记录的话会直接从缓存中读取。比如下面的

代码：

Customer c1 = ctx.Customers.Single(customer => customer.CustomerID == \); c1.ContactName = \; Customer c2 = ctx.Customers.Single(customer => customer.CustomerID == \); Response.Write(c2.ContactName); 执行后只会产生一条SQL：

SELECT [t0].[CustomerID], [t0].[CompanyName], [t0].[ContactName], [t0].[ContactTitle], [t0].[Address], [t0].[City], [t0].[Region], [t0].[PostalCode], [t0].[Country], [t0].[Phone], [t0].[Fax] FROM [dbo].[Customers] AS [t0] WHERE [t0].[CustomerID] = @p0 -- @p0: Input String (Size = 5; Prec = 0; Scale = 0) [ANATR] 由于没有提交修改，所以数据库中的记录还是没有更新。由于这个特性，我们在使用存储过程作为实体更新方法的

时候就要当心了，存储过程书写错误，即使你提交了修改也很可能导致缓存中的数据和数据库中的数据不一致，引起不必要的麻烦。

DataContext隔离

有的时候我们会把对象从外部传入DataContext，要求它更新，由于不同的DataContext是相对独立的。由于新的

DataContext中还没有获取实体，我们只能通过附加方式更新数据。

首先把Customer表的主键字段加上IsVersion标识：

[Column(Storage=\, DbType=\, CanBeNull=false, IsPrimaryKey=true, IsVersion = true)] 运行下面的测试代码：

Customer c = new Customer { CustomerID = \, ContactName = \, CompanyName = \ }; ctx.Customers.Attach(c, true); ctx.SubmitChanges(); 会捕捉到下面的SQL语句：

UPDATE [dbo].[Customers] SET [CompanyName] = @p2, [ContactName] = @p3, [ContactTitle] = @p4, [Address] = @p5, [City] = @p6, [Region] = @p7, [PostalCode] = @p8, [Country] = @p9, [Phone] = @p10, [Fax] = @p11 WHERE ([CustomerID] = @p0) AND ([CustomerID] = @p1) -- @p0: Input StringFixedLength (Size = 5; Prec = 0; Scale = 0) [ALFKI] -- @p1: Input String (Size = 5; Prec = 0; Scale = 0) [ALFKI] -- @p2: Input String (Size = 4; Prec = 0; Scale = 0) [1111] -- @p3: Input String (Size = 5; Prec = 0; Scale = 0) [zhuye] -- @p4: Input String (Size = 0; Prec = 0; Scale = 0) [] -- @p5: Input String (Size = 0; Prec = 0; Scale = 0) [] -- @p6: Input String (Size = 0; Prec = 0; Scale = 0) [] -- @p7: Input String (Size = 0; Prec = 0; Scale = 0) [] -- @p8: Input String (Size = 0; Prec = 0; Scale = 0) [] -- @p9: Input String (Size = 0; Prec = 0; Scale = 0) [] -- @p10: Input String (Size = 0; Prec = 0; Scale = 0) [] -- @p11: Input String (Size = 0; Prec = 0; Scale = 0) []