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Of course, if your end users are programmers too, or if you don t intend to change configuration very often, you could include PHP data structures directly in the helper class (or in a separate file that it then includes) While risky, this approach is certainly the fastest CommandResolver A controller needs a way of deciding how to interpret an HTTP request so that it can invoke the right code to fulfill that request You could easily include this logic within the Controller class itself, but I prefer to use a specialist class for the purpose That makes it easy to refactor for polymorphism if necessary A front controller often invokes application logic by running a Command object (I introduced the Command pattern in 11).
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Figure 8-37. Viewing the resulting indicator in the list If you want to see what happens when you change the current value of the indicator, click the KPI item and select Edit.
The exception to the preceding rule of thumb is that in a public class you might want to use a readonly field instead of a public constant. If a public constant changes during development, every dependent assembly needs to be recompiled before it will inline the new value. If this is a realistic possibility, you might be better off using a readonly static field instead of a true constant, as downstream code will then automatically get the correct value, without recompilation.
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The Command that is chosen is usually selected according to a parameter in the request or according to the structure of the URL itself (you might, for example, use Apache configuration to make concrete-seeming URLs yield a key for use in selecting a Command) In these examples, I will use a simple parameter: cmd There is more than one way of using the given parameter to select a command You can test the parameter against a configuration file or data structure (a logical strategy) Or you can test it directly against class files on the file system (a physical strategy) A logical strategy is more flexible, but also more labor intensive, in terms of both setup and maintenance You can see an example of this approach in the Application Controller section You saw an example of a command factory that used a physical strategy in the last chapter.
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Useful in some threading scenarios In a single-threaded program, the program s behavior doesn t change if a memory read actually comes from memory or if a memory read comes from cache or a register. Registers are faster than cache, which in turn is faster than memory, but the program will still follow the same path and give the same results. However, in a multithreaded program, a field value that the optimizer has kept in a register (instead of writing to memory) is not visible to other threads. Similarly, in a multiprocessor machine, a value written to one processor s cache may be shadowing a more recent value written to memory by another processor. And, some architectures may have memorymapped hardware where writes shouldn t be shadowed by the cache, and that may give different results with every read. CIL includes a volatile modifier that allows the compiler to specify that a memory access really needs to go to or come from physical memory. The static methods Thread.VolatileRead and Thread.VolatileWrite allow application writers to do volatile reads and writes on an as as-needed basis; the volatile field modifier allows you to guarantee that all access to a field is done as a volatile access.
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