Figure 18-10. The explicit numeric conversions in C#

Deploy Data Matrix 2d barcode in C# Figure 18-10. The explicit numeric conversions

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CreateCollection(RunningTotalBroadcast runningTotal) { StatisticsCounter cls = new StatisticsCounter( runningTotal); IList<Ticket> parent = new ClosureAddProxy< Ticket>( new List< Ticket>(), new DelegateClosure< Ticket>( cls.ClosureAddMethod)); return new ClosureRemoveProxy<Ticket>( parent, new DelegateClosure< Ticket>( cls.ClosureRemoveMethod)); } } The method TicketBuilder.CreateCollection has been modified to require a parameter. The parameter runningTotal is a delegate that is passed to StatisticsCounter and is called whenever the methods ClosureAddMethod and ClosureRemoveMethod are called. Next, let s look at a test method that illustrates how to add tickets: [TestFixture] public class TestMovie { private void RunningTotalMethod(double runningTotal) { Console.WriteLine("Running Total " + runningTotal); } [Test] public void TestCallback() { IList<Cinema.Ticket> list = Cinema.Implementations.TicketsBuilder.CreateCollection( new Cinema.RunningTotalBroadcast( this.RunningTotalMethod)); list.Add(new Cinema.Ticket(10.0, 12)); list.Add(new Cinema.Ticket(10.0, 12)); list.RemoveAt( 1); } } The method TestCallback instantiates the IList<> variable list using the method TicketsBuilder.CreateCollection. The method RunningTotalMethod is a callback that receives the updates whenever a ticket is added to the collection. When an update is received, RunningTotalMethod displays the ticket sales running total. What is important about the TestCallback method is that the client only interacts with an IList<> type. Therefore, whenever the methods Add or RemoveAt are called, the closure functors react and process the data. The client only needs to understand the IList<> interface and the events that are propagated.
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Producing Enumerables and Enumerators
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By this time, you may have realized that the IDataErrorInfo interface is limited to validate on a perproperty basis and is used primarily for simple data validation logic that runs on the client side. This is because the IDataErrorInfo interface was originally designed for pure client environments, such as WPF, and thus it has limitations in client-server technology, such as Silverlight, to perform server-side data validation. If you need to access server-side data validation logic, the INotifyDataErrorInfo interface, introduced in Silverlight 4, is the right choice. It enables data entity classes to implement custom validation rules and exposure of the validation results to the user interface. For example, you may want to check for the value that the user has entered against the stored value in the backend database to make sure it will not create any duplicates. Often in Silverlight-based line-of-business applications, user-entered data needs to be validated on a server asynchronously, rather than on the client side. INotifyDataErrorInfo contains one property, one method, and one event. It has a HasErrors property of type bool that allows you to check whether an entity has any error. So it is useful to determine the validation state of an entire entity in one go. The GetErrors method allows retrieval of the custom error object rather than just the string (error message) and, more importantly, a property can have more than just one validation error at the same time. The ErrorsChanged event allows notification of the user interface if the validation errors change. It is very useful in asynchronous validation scenarios (e.g., validation over web service or webclient call) or validation that requires some long running process. Note that ValidatesOnNotifyDataErrors needs to be set to true on the bound control to enable the data binding system to listen for the ErrorsChanged event, and thus display any errors if they are added or changed later on. We will create an example of checking the validity of email and website URLs in order to better understand the INotifyDataErrorInfo interface and demonstrate the use of all three members of the interface. For that I created a new folder INotifyDataErrorInfoDemo under the existing chapter6 solution. I will try to keep things as simple as possible so you can better focus on the main feature and, at the same time, I will recommend better approaches and advanced usage scenarios at particular places as we go through the code. We will develop one web service, ValidationService.asmx, one business class named Consultant, implementing the interface, and a simple UI in XAML with a little bit of code-behind.
The IMobileObject interface exists to support serialization through the MobileFormatter, which is part of CSLA .NET for Silverlight. CSLA .NET for Silverlight is outside the scope of this book, and IMobileObject has no impact on how CSLA .NET works within the .NET runtime.
LINQ Providers
In a data warehouse, with an understanding of the questions being asked of the data, the first bullet point is very much achievable. Partitioning can positively impact queries that frequently full scan large database tables by eliminating large sections of data from consideration. Suppose you have a table with 1 billion rows in it. There is a timestamp attribute. Your query is going to retrieve one years worth of data from this table (and it has 10 years of data). Your query uses a full table scan to retrieve this data. Had it been partitioned by this timestamp entry say, a partition per month then you could have full scanned one-tenth the data (assuming a uniform distribution of data over the years). Partition elimination would have removed the other 90 percent of the data from consideration. Your query would likely run faster. Now, take a similar table in an OLTP system. You would never retrieve 10 percent of a 1 billion row table in that type of application. Therefore, the massive increase in speed seen by the data warehouse just would not be achievable in a transactional system. You are not doing the same sort of work, and the same possible improvements are just not realistic. Therefore, in general, in your OLTP system the first bullet point is not achievable, and you won t be applying partitioning predominantly for increased performance. Increased availability absolutely. Administrative ease of use very much so. But in an OLTP system, I say you have to work hard to make sure you achieve the second point: that you do not impact the performance of your queries at all, negatively or positively. Many times, your goal is to apply partitioning without affecting query response time. On many occasions, I ve seen that the implementation team will see they have a medium-sized table, say of 10 million rows. Now, 10 million sounds like an incredibly large number (and five or ten years ago, it would have been, but time changes all things).So the team decides to partition the data. But
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In 10, you will see how to implement an ASP.NET Web Forms UI on top of business objects. This chapter will make use of the new data binding capabilities in Web Forms 2.0. In this technology, the Insert and Update operations provide the data from the form in IDictionary objects
Bindings for ShoppingCartItemWorkflow:ShoppingCartItemPlaced are shown in Figure 7-11.
Using the Default Constructor
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