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Fields that contain shortcuts into a larger data structure are a special case of derived value. Every reference to a piece of long-lived data has to be changed when the data moves. If you can replace a shortcut reference with a method that does a little lookup, you may find yourself saving both time and space. These tradeoffs affect the cost of relocation. You can also decrease the frequency of garbage collection. The fewer allocations you do and the smaller their average size, the less often the system will do garbage collection. One rule of thumb here is that using value types (a Delphi record or a C# struct) can reduce the need for garbage collections. A local value type is allocated on the stack, not on the heap. This helps in two ways. First, every use of the data is very slightly faster than using a similar reference type. Second, and more substantially, data on the stack is invisible to the garbage collector, except as a source of roots. That is, allocating stack space can t trigger a garbage collection, and local value types never need to be moved by the garbage collector. Similarly, value type members of classes (or other value types) are allocated inline, as part of the larger data structure, instead of as a separate heap block that the outer data structure points to. This again results in a slight speedup and, more importantly, reduces total memory consumption (if only by the size of the heap block header, and the size of one reference) and reduces the number of heap blocks that may need to be moved.

of all files. Figure 5-19 shows an example of the Digital Signatures folder found within the Shared Documents library of a site named Web Services.

A second rule of thumb is to pay attention to the size of your temporary reference variables. Remember, every byte you allocate brings the next garbage collection that much closer. Pay particular attention to large strings. .NET uses Unicode, so that every character takes 2 bytes, and thus every string is twice as big as its AnsiString equivalent in a native-code Delphi. It s not at all hard to have a string that s just shy of the 85K Large Object cutoff appending to such a string allocates room for the result, and a single operation thus brings you a third of the way to another generation 0 garbage collection.

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Figure 5-19. Shared Documents library referenced through Outlook When you look at the files in this folder, you may see one or more with a small icon in the lower-right side of the individual file listing. This icon, which shows a page with a red upward pointing arrow in it, identifies the file as having been checked out. If you position your mouse over the file, the tooltip text beneath the title also tells you that the file has been checked out and who has checked it out. Finally, if you click the file and have the document preview window open, it says Changes to this document are only available on this computer. To update the server with your changes, check in this document from your Web browser. This message reminds you that you have checked out the document to edit it offline. Only documents that you have checked out are copied to your local drafts folder. If there is another

We are forced to use the instanceof operator to test the type of the object passed to addUnit() Too many special cases of this kind, and the drawbacks of the pattern begin to outweigh its benefits Composite works best when most of the components are interchangeable Another issue to bear in mind is the cost of some Composite operations The Army:: bombardStrength() method is typical in that it sets off a cascade of calls to the same method down the tree For a large tree with lots of subarmies, a single call can cause an avalanche behind the scenes bombardStrength() is not itself very expensive, but what would happen if some leaves performed a complex calculation to arrive at their return values One way around this problem is to cache the result of a method call of this sort in the parent object, so that subsequent invocations are less expensive.

Destructors are very different than in unmanaged code In unmanaged code, we have to obey the Free What You Create rule Disobeying this key rule leads to memory leaks Managed code, of course, is quite different, as the only way to have a memory leak is to keep a reference to an object that you no longer use In turn, this radically reduces the use of destructors In unmanaged code, every object that creates other objects needs to be sure to free them, and many (most ) Delphi destructors consist of little more than a list of Free statements In managed code, we don t need to free the objects that we create All that a destructor needs to do in managed code is to free resources things like file handles, device contexts (aka DCs) that the object has open.

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