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without any root element. Remember that the FOR XML clause by default returns XML fragments and not documents.
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using System.Runtime.Serialization; namespace NotepadServiceRole { [DataContract] public class UserDto { [DataMember] public int UserId { get; set; } [DataMember] public string Name { get; set; } } } 2. To NotepadServiceRole add the NoteDto.cs class with the following code.
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You can model this notion of a distribution with abstract objects. Listing 9-7 shows the definition of a type of distribution values and an implementation of the basic primitives always and coinFlip, which help build distributions. Listing 9-7. Implementing Probabilistic Modeling Using Computation Expressions type Distribution<'T when 'T : comparison> = abstract Sample : 'T abstract Support : Set<'T> abstract Expectation: ('T -> float) -> float let always x = { new Distribution<'T> with member d.Sample = x member d.Support = Set.singleton x member d.Expectation(H) = H(x) } let rnd = System.Random() let coinFlip (p:float) (d1:Distribution<'T>) (d2:Distribution<'T>) = if p < 0.0 || p > 1.0 then failwith "invalid probability in coinFlip" { new Distribution<'T> with member d.Sample = if rnd.NextDouble() < p then d1.Sample else d2.Sample member d.Support = Set.union d1.Support d2.Support member d.Expectation(H) = p * d1.Expectation(H) + (1.0-p) * d2.Expectation(H) } The types of these primitives are as follows: type Distribution<'T> = abstract Expectation: ('T -> float) -> float abstract Sample : 'T abstract Support : Set<'T> val always: 'T -> Distribution<'T> val coinFlip : float -> Distribution<'T> -> Distribution<'T> -> Distribution<'T>
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Either typed or untyped datasets are equally valid, but typed datasets are more efficient and can make code somewhat simpler. For example, using an untyped dataset, you d need to write this: Console.WriteLine(ds.Tables(0).Rows(0)("CompanyName")) to get the value for the CompanyName column of the Customers table, assuming that the data table was the first in the dataset. With a typed dataset, you can access its data tables and data columns as class members. You could replace the previous code with this: Console.WriteLine(ds.Customers(0).CompanyName) making the code more intuitive. In addition, the Visual Studio code editor has IntelliSense support for typed datasets. Typed datasets are more efficient than untyped datasets because typed datasets have a defined schema, and when they re populated with data, runtime type identification and conversion aren t necessary, since this has been taken care of at compile time. Untyped datasets have a lot more work to do every time a result set is loaded. However, typed datasets aren t always the best choice. If you re dealing with data that isn t basically well defined, whose definition dynamically changes, or is only of temporary interest, the flexibility of untyped datasets can outweigh the benefits of typed ones. This chapter is already long enough. Since we re not concerned with efficiency in our small sample programs, we won t use typed datasets and we don t need to cover creating them here. Our emphasis in this book is explaining how Visual Basic .NET works with ADO.NET by showing you how to code fundamental operations. If you can code them yourself, you ll have insight into what Visual Basic .NET does when it generates things for you, as in the next chapter on using Windows Forms. This is invaluable for understanding how to configure generated components and debugging applications that use them. Although you can code an .xsd file yourself (or export an XSL schema for an untyped dataset with System.Data.DataSet.WriteXmlSchema() and modify it) and then use the xsd.exe utility to create a class for a typed dataset, it s a lot of work, is subject to error, and is something you ll rarely (if ever) want or need to do.
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Error.argument: This lets you create an Error object that represents an exception in
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Figure 4-9. Testing the SQL Query 8. Finally, click the Finish button, which will close the window and take you back to the web page. 9. Now that you have the data source structure set up, you have to add the visual representation to the web page by adding a GridView control. From the ToolBox, add a GridView control, and upon doing so set the data source property of the GridView to the previously added SqlDataSource control via the window that will appear (Figure 4-10).
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