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{ SetValue( target, propertyName, sourceProperty.GetValue(source, null)); } catch (Exception ex) { if (!suppressExceptions) throw new ArgumentException( String.Format("{0} ({1})", Resources.PropertyCopyFailed, propertyName), ex); } } } } The source object s properties are retrieved into an array of PropertyInfo objects: PropertyInfo[] sourceProperties = GetSourceProperties(source.GetType()); Then the method loops through each element in that array, checking each one against the list of properties to be ignored. If the property isn t in the ignore list, the SetValue() method is called to set the property on the target object. The GetValue() method on the PropertyInfo object is used to retrieve the value from the source object: SetValue( target, propertyName, sourceProperty.GetValue(source, null)); Exceptions are handled (or ignored) just like they are when copying from an IDictionary. While the DataMapper functionality may not be useful in all cases, it is useful in many cases, and can dramatically reduce the amount of tedious data-copying code a business developer needs to write to use data binding in Web Forms or to implement Web Services.

Note Here, be sure to include addLoadEvent.js first, as displayAbbreviations.js depends on it. In a real project, you'll also want to minify your scripts and combine them into one file (minification is discussed in 5). For our example, we'll keep things verbose and separate so it's easier to experiment.

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that is, at the end of the workflow, even if asynchronous activations occur in between If any step in the workflow raises an uncaught exception, then the stream will also be closed while handling the exception The next line reads the input stream asynchronously using inStreamReadAsync: async { use inStream = FileOpenRead(sprintf "Image%dtmp" i) let! pixels = inStreamReadAsync(numPixels) .. } StreamReadAsync is an extension method added to the NET SystemIOStream class by opening the F# namespace MicrosoftFSharpControlCommonExtensions, and it generates a value of type Async<byte[]> The use of let! executes this operation asynchronously and registers a callback When the callback is invoked, the value pixels is bound to the result of the operation, and the remainder of the asynchronous workflow is executed The next line transforms the image synchronously using TransformImage: async { use inStream = FileOpenRead(sprintf "Image%d.

When discussing report generation and objects, it is important to divide the idea of report generation into two groups: small reports and large reports. Some enterprise resource planning (ERP) and manufacturing resource planning (MRP) systems make exactly this distinction: small reports are often called lists, while large reports are called reports. Lists can be generated at any time and are displayed immediately on the client, while reports are typically generated in the background and are later displayed through a viewer or printed out. Of course, the exact delineation between a small and a large report varies. Ultimately, small reports require small enough amounts of data that it s reasonable to transfer that data to the client immediately upon a user request. Large reports require too much data to transfer to the client immediately, or they take too long to generate to have the user s machine (or browser) tied up while waiting for it to complete. The problem faced with reporting is twofold. First, pulling back large amounts of data from the server to the client just to generate a report is slow. In fact, it is a just a poor idea and should be avoided. Large reports should be generated using report engines that physically run on or near the database server to minimize the amount of data transferred across the network. Second, for reports that require smaller data sets that can be efficiently returned to the client machine, few of the major report engine tools support data binding against custom objects. Reports

tmp" i) let! pixels = inStreamReadAsync(numPixels) let pixels' = TransformImage(pixels,i) .. } Like the first line, the next line opens the output stream Using use guarantees that the stream is closed by the end of the workflow regardless of whether exceptions are thrown in the remainder of the workflow async { use inStream = FileOpenRead(sprintf "Image%dtmp" i) let! pixels = inStreamReadAsync(numPixels) let pixels' = TransformImage(pixels,i) use outStream = FileOpenWrite(sprintf "Image%ddone" i) .. } The final line of the workflow performs an asynchronous write of the image Once again, WriteAsync is an extension method added to the NET SystemIOStream class by opening the F# namespace MicrosoftFSharpControlCommonExtensions async { use inStream = FileOpenRead(sprintf "Image%dtmp" i) let! pixels = inStreamReadAsync(numPixels) let pixels' = TransformImage(pixels,i) use outStream = FileOpenWrite(sprintf "Image%ddone" i) do! outStream.

generated with popular tools such as Crystal Reports or Active Reports can only be generated against ADO.NET objects such as the DataSet.

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