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12]Creating request for MOMA... 13]Creating request for British Museum... 12]Creating request for Prado... 8]Getting response for MOMA... 8]Reading response for MOMA... 9]Getting response for Prado... 9]Reading response for Prado... 9]Read 188 characters for Prado... 8]Read 41635 characters for MOMA... 8]Getting response for British Museum... 8]Reading response for British Museum... 8]Read 24341 characters for British Museum...

If you feel that reflection is too slow for this purpose, you can continue to write all the mapping code by hand. Keep in mind, however, that data binding uses reflection extensively anyway, so this little bit of additional reflection is not likely to cause any serious performance issues.

Place the text node inside the element node: header.appendChild(header_text); In a complicated document, you would probably want to insert the newly created elements into a specific part of the document, probably identified with an id. In the case of explanation.html, which is quite a straightforward document, we can just append them to the body tag. There are two ways you could reference the body tag: Using the DOM Core, you can reference the first (and only) body tag in the document:

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Note how each individual Async program hops between threads; the MOMA request started on .NET thread 12 and finished life on .NET thread 8. Each asynchronous computation in Listing 13-5 executes in the following way: Each asynchronous computation starts life as a work item in the .NET thread pool. (The .NET thread pool is explained in the What Is the .NET Thread Pool sidebar.) These are processed by a number of .NET threads. When the asynchronous computations reach the GetResponseAsync and ReadToEndAsync calls, the requests are made and the continuations are registered as I/O completion actions in the .NET thread pool. No thread is used while the request is in progress. When the requests complete, they trigger a callback in the .NET thread pool. These may be serviced by different threads than those that originated the calls.

A similar problem exists when building web services Business objects should not be returned directly as a result of a web service, as that would break encapsulation In such a case, your business object interface would become part of the web service interface, preventing you from ever adding or changing properties on the object without running the risk of breaking any clients of the web service Instead, data should be copied from the business object into a DTO, which is then returned to the web service client Conversely, data from the client often comes into the web service in the form of a DTO These DTOs are often created based on WSDL or an XSD defining the contract for the data being passed over the web service The end result is that the code in a web service has to map property values from business objects to and from DTOs.

.NET objects such as BackgroundWorker use a single .NET background thread, which corresponds to a single Windows or other OS thread. OS threads have supporting resources such as an execution stack that consume memory and are relatively expensive resources to create and run. However, many concurrent processing tasks require only the ability to schedule short-lived tasks that then suspend, waiting for further input. To simplify the process of creating and managing these tasks, the .NET Framework provides the System.Threading.ThreadPool class. The thread pool consists of two main sets of suspended tasks: a queue containing user work items and a pool of I/O completion callbacks, each waiting for a signal from the operating system. The number of threads in the thread pool is automatically tuned, and items can be either queued asynchronously or registered against a .NET WaitHandle synchronization object (for example, a lock, a semaphore, or an I/O request). This is how to queue a work item in the .NET thread pool: open System.Threading ThreadPool.QueueUserWorkItem(fun _ -> printf "Hello!") |> ignore

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