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Description Identifies the name of the relation. Usually its value is the same as the name of the foreign key constraint relation name defined in the database. You have to specify it if you plan to use the CreateDatabase() method from the DataContext class to create a new database with this relation. You have to use the same name in the entity class that composes the relation with this one. When set to true this property indicates that the related entity class is the parent class. Identifies a list of parent entity class keys separated by commas. If the keys are not specified, LINQ to SQL infers them, and assumes they are equal to the primary keys defined in the parent entity class.

For those who ve never used IconComposer, it s a pretty simple process. Usually you create an icon in the largest size in Photoshop or what have you, and then drag it into IconComposer, which will generate smaller versions and alpha masks for you. For situations where your icon is illegible at smaller sizes, you can then create a simplified representation for those sizes, ensuring your icon looks great at any size. For those who have used IconComposer before, the Leopard version is slightly different. Aside from a generally improved look and feel, the new IconComposer adds support for highresolution, 512 pixel icons, as part of Leopard s move toward resolution independence.

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Property lists, known colloquially as plists, are files originally designed for storing properties, which is to say, preferences. When you set the preferences of a program in its preference panel, or via the command line s defaults command, you re editing that application s property list. However, with the introduction of the XML plist format, these have become a handy way to store standard data structures, such as arrays and dictionaries, in an external, human-readable format. The Property List Editor is a convenient, schema-aware way to create and edit plists. It s also the only way to make heads or tails out of the older, but still useful, binary plist format.

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Every developer wants their application to be fast, but the biggest mistake a programmer can make is writing their code for speed. Fast code is optimized code, and the lower a language is, the more opportunity for optimization there will be. Java offers few chances for optimization compared to C, and C is a snail compared to assembly language. As fast as they might be, low-level languages are harder to read and take much longer to write. Even if you don t change languages, it s a shame to pick a library or function based on it being faster instead of it being easier. Worse than all of that, all those optimizations that took forever to do will probably end up making the program slower. Why Because humans are surprisingly bad at guessing where performance bottlenecks are. The only way to know for sure is by using a specialized sampling tool. This tool will watch the application and figure out what it s doing and for how long. Shark (shown in Figure 25-28), which comes with the free developer tools, is one of the best optimization programs available.

Storage contains the name of the private field defined in the class. When specifying this property, LINQ to SQL will use the class s field to access data instead of using the related get and set accessors.

Avoiding blind optimizations makes the development cycle faster, because it lets programmers choose code based on ease of writing and readability. That leaves plenty of time for profiling with Shark, and then pinpointing bottlenecks and performing optimizations only where they will make the biggest difference. Hard rules are anathema to programmers, but here s one even the most stubborn of hackers should follow: never, ever do something because it s faster, until you run Shark.

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