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And the collection objects are every bit as complex as the business objects themselves. The application must handle the simple case in which a user edits an existing LineItem, but it must also handle the case in which a user adds a new LineItem and then cancels changes to the parent or grandparent, resulting in the new LineItem being discarded. Equally, it must handle the case in which the user deletes a LineItem and then cancels changes to the parent or grandparent, thereby causing that deleted object to be restored to the collection as though nothing had ever happened. N-level undo is a perfect example of complex code that shouldn t be written into every business object. Instead, this functionality should be written once, so that all business objects support the concept and behave the way we want them to. This functionality will be incorporated directly into the business object framework but at the same time, the framework must be sensitive to the different environments in which the objects will be used. Although n-level undo is of high importance when building sophisticated Windows user experiences, it s virtually useless in a typical web environment. In web-based applications, the user typically doesn t have a Cancel button. They either accept the changes, or navigate away to another task, allowing the application to simply discard the changed object. In this regard, the web environment is much simpler, so if n-level undo isn t useful to the web

By itself, this doesn t make Invocable that great of an operation but it has a second side: its getInterface() method. With the getInterface() method, you can dynamically create new implementations of interfaces by defining the implementations of an interface s methods in the scripting language. Let s take this one a little more slowly by looking at a specific interface. The Runnable interface has one method: run(). If your scripting language has made a run() method invocable, you can acquire an instance of the Runnable interface from the Invocable engine. First, evaluate a no-argument run() method to make it invocable:

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We ll discuss how to decode this response shortly, but first let s put together the pieces that make the request by examining the bridge file that makes this possible. The .asbx bridge file Earlier, we mentioned a new file extension designated for bridges. This .asbx extension is basically an XML file that serves as a roadmap to an external service and its methods. Listing 5.19 provides an example of how a request to the Flickr REST service is mapped out.

This method contains all the code explained earlier. Based on any (X,Z) coordinate, whether integer or floating point, the method returns the exact height above this point. First you check that the point that is requested is on the terrain. If it isn t, you return a default height of 10. public float GetExactHeightAt(float xCoord, float zCoord) { bool invalid = xCoord < 0; invalid |= zCoord < 0; invalid |= xCoord > heightData.GetLength(0) - 1; invalid |= zCoord > heightData.GetLength(1) - 1; if (invalid) return 10; int xLower = (int)xCoord; int xHigher = xLower + 1; float xRelative = (xCoord - xLower) / ((float)xHigher - (float)xLower); int zLower = (int)zCoord; int zHigher = zLower + 1; float zRelative = (zCoord - zLower) / ((float)zHigher - (float)zLower); float float float float heightLxLz heightLxHz heightHxLz heightHxHz = = = = heightData[xLower, zLower]; heightData[xLower, zHigher]; heightData[xHigher, zLower]; heightData[xHigher, zHigher]; = (xRelative + zRelative < 1);

The first place to look is the timing data! (If you are not familiar with key time statistics such as DB CPU and DB time, please see the upcoming Meaning of Key Statistics section for definitions.) Quickly scan the Top 5 Timed Foreground Events to identify the events with the most DB time by percentage. On most systems, it is normal to see DB CPU and waits for user I/O in the top timed events (on this system, they make up 75 percent of the total DB time). The question is to determine how normal it is for this system, by comparing against a known baseline. Event db file sequential read DB CPU library cache pin gc current block 3-way db file scattered read 1,694,234 1,342,612 144,353 2,602 1,298 1,111 2 1 8 Waits 3,152,540 Time(s) Avg wait(ms) %DB time Wait Class 20,938 7 48.31 9,739 5.93 2.92 2.54 User I/O 22.43 Concurrency Cluster User I/O

recipe), log4j builds an HTML table of logging events. The result of two application executions is shown in figure 8.1.

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