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The interface is simple. It says that, given a model and the servlet s request and response objects, a View will generate, or render, the output. It assumes nothing else, and that means you have the widest possible choice when selecting an implementation. As we ll see later, though, creating your own View implementation is quite rare; more commonly you ll use one of the built-in Spring view types.

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Summary

The render() method of the View interface returns void. The buck stops here as far as Spring MVC is concerned; it is the responsibility of the view not just to generate the content but to actually return it to the client too, if appropriate. We could, therefore, successfully implement a view with the example in Listing 7-2. Listing 7-2. Example View Implementation public class ModelIteratorView implements View { public void render(Map model, HttpServletRequest request, HttpServletResponse response) throws Exception { PrintWriter out = new PrintWriter(response.getOutputStream()); for (Object key : model.keySet()) { out.print(key.toString()); out.print(" = "); out.println(model.get(key)); } out.flush(); out.close(); } } OK, so it won t win your website any design awards, but you re fulfilling the very basic requirement of a View. Spring provides many implementations of View that act as hooks for the supported view technologies for example, InternalResourceView (JSP), VelocityView, AbstractXsltView, and others. We ll cover the specifics of these and others in 8 as we examine the major view technologies in more detail.

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outline color outline thickness x and y of top left corner width and height x and y corner radius gradient start color gradient start coordinates gradient end color gradient end coordinates opacity

For now, we ll have a quick tour of some of the common supporting functionality that Spring implements and how it applies to the diverse range of subclasses. Figure 7-1 shows the hierarchy of Views that Spring implements for you.

Managed-unmanaged transitions are based on metadata and thunks. The compiler produces the necessary metadata and the CLR produces the thunks. For each native function that is called from managed code, P/Invoke metadata is automatically generated. Whenever a managed function is called from native code, the compiler generates an interoperability vtable. If an address of a managed function is stored in a function pointer with a native calling convention, native code can use this function pointer to call the managed function. Therefore, an interoperability vtable is produced for such a managed function, too. Since virtual functions are called internally via function pointers, interoperability vtables are produced for virtual functions, too. There are two major strategies for optimizing managed-unmanaged transitions. You can either reduce the number of transitions or you can optimize the performance of the generated thunks. To reduce the number of transitions as well as the amount of generated interop metadata, the __clrcall calling convention can be used. By defining custom P/Invoke functions or using a few linker switches, you can optimize the performance of the generated thunks. Managed-unmanaged transitions often require a deep understanding of the interoperability features provided by the CLR, as well as the C++/CLI language features that allow you to use these features. Many developers appreciate it when managed-unmanaged transitions are hidden behind a simpler fa ade. The next chapter describes how to hide managedunmanaged transitions in managed libraries that wrap native APIs.

You can get quite interesting effects when using the opacity parameter. Opacity values range from 0 to 256, where 0 (or the constant Bitmap.OpacityTransparent) does not draw a pixel and the value 256 (or Bitmap.OpacityOpaque) completely replaces what is underneath (the documentation for the SDK indicates that 0xFF, or 255, is opaque, which is not true). Figure 11-3 illustrates what effects are possible with reduced opacity values; the sample cascades three filled rectangles of different colors and draws the overlapping boxes in a for loop. Listing 11-4 shows the code to draw this art.

The preceding diagram shows that all of the Spring View implementations extend AbstractView and that the majority also descend from AbstractUrlBasedView. Figure 7-2 shows more detail for these classes.

Figure 11-3. Filled overlapping boxes using reduced opacity values Listing 11-4. Drawing Filled Overlapping Boxes with Reduced Opacity using using using using using System; System.Threading; Microsoft.SPOT; Microsoft.SPOT.Hardware; Microsoft.SPOT.Presentation.Media;

interface View + render(model : Map, request : HttpServletRequest, response : HttpServletResponse)

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