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If a user task involves more than one service request, the task needs to be handled very carefully so that the user can complete the entire task when offline. The challenge is that service requests are often dependent on each other. For example, suppose that you have an application that allows vacations to be booked for customers. To book a vacation, the application uses a number of services to perform each part of the overall task in the following sequence: 1. Reserve a car. 2. Reserve hotel accommodations. 3. Purchase the airline tickets. 4. Send e-mail confirmation.



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The first argument of the predicate function represents the element to test. This function returns a Boolean value indicating whether test conditions are satisfied. The following example creates a sequence of the books that have a price greater than or equal to 15:

Notice that the command is listed twice. That indicates that the command supports two parameter sets, there are two distinct ways in which you can use this command. Some of the parameters will be shared between the two sets. You ll notice, for example, that both parameter sets include a -ComputerName parameter. But the two parameter sets will always have at least one unique parameter that exists only in that parameter set. In this case, the first set supports -AsString and -List, neither of which are included in the second set; the second set contains numerous parameters that aren t included in the first.





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Nov 9, 2011 · Office.Interop.(word,excel, or powerpoint) Word To PDF: public string ConvertWordToPdf(string inputFile) { string outputFileName = "Desired ...

IEnumerable<Book> books = SampleData.Books.Where(book => book.Price >= 15);

The complete list of the standard query operators with their descriptions is available in the appendix.

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Each of these services may be implemented by different systems, perhaps even by different companies. In a perfect world, each service request would succeed every time so that your user could reserve the car, hotel, and airline tickets successfully and the application could send e-mail notifying the client that the vacation was booked. However, not all service requests are successful, and your application must be able to resolve error conditions and manage business rules that affect how it handles the overall task. Writing code for this kind of task is extremely challenging because each part of the task (that is, each service request to a specific service) depends on another part of the task. Dependencies can themselves depend on complex business logic, which further complicates the logic affecting the overall task. For example, your vacation booking application may allow the vacation to be booked if a car is unavailable, provided that the hotel and flights are reserved successfully. Dependencies between individual service requests can be both forward and reverse dependencies: Forward dependencies. If, during synchronization, the first request succeeds but a subsequent request fails, you may need to reverse the first request through a compensating transaction. This requirement can add significant complexity to the application. Reverse dependencies. If an application is operating offline and submits one service request as part of a multi-service request task, it has to assume that the request will be completed successfully so that it can queue subsequent requests and not block the user from completing the task. In this case, all subsequent requests are dependent on the success of the first request. If the first request fails during synchronization, the application must be aware that all subsequent requests need to be deleted or ignored.

In a query expression, a where clause translates to an invocation of the Where operator. The previous example is equivalent to the translation of the following query expression:

var books = from book in SampleData.Books where book.Price >= 15 select book;

An overload of the Where operator uses predicates that work with the index of elements in the source sequence:

public static IEnumerable<T> Where<T>( this IEnumerable<T> source, Func<T, int, bool> predicate);

To reduce the complexities associated with dependencies between services requests, the Web service should provide a single service request per user task. This allows the user to complete a task that will be handled during the synchronization phase as a single atomic request to the Web service. A single atomic request eliminates the need to keep track of service request dependencies, which can significantly complicate the client- or server-side implementation of the application. For example, instead of writing your service interfaces as three separate steps:

The second argument of the predicate, if present, represents the zero-based index of the element within the source sequence. The following code snippet uses this version of the operator to filter the collection of books and keep only those that have a price greater than or equal to 15 and are in odd positions (should you wish to do so for some strange reason):

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