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Linux users, this is your chance to smile. The build scripts for the MySQL server include the compilation of the gen_lex_hash utility. For some distributions of the MySQL source code (5.1 and later), the utility is located in the /sql directory and is compiled with the mysqld server. Other distributions (some Windows distributions) place the utility in a directory named gen_lex_hash and have their own makefile. Generate the lexical hash by running the gen_lex_hash utility as shown here: gen_lex_hash > lex_hash.h This will generate a new lex_hash.h file to use when compiling the server that will recognize the new symbols added to the lex.h file. However, you really don t need to do this step because the makefile included with the Linux source code distribution performs this step for you. The only reason you might want to run the command is if you want to ensure there are no errors.

[] 1 :: [2; 3] [1; 2; 3] [1 .. 99] [ for x in 1..99 -> x * x ] [1; 2] @ [3]

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For this reason, it can often be useful to build abstractions that are similar to BackgroundWorker but that capture richer or different control patterns, preferably in a way that doesn t rely on the use of mutable state and that interferes less with the structure of the overall computation Much of the rest of this chapter looks at various techniques to build these control structures You start with a case study in which you build a type IterativeBackgroundWorker that represents a variation on the BackgroundWorker design pattern Listing 13-2 shows the code Listing 13-2 A Variation on the BackgroundWorker Design Pattern for Iterative Computations open SystemComponentModel open SystemWindowsForms /// An IterativeBackgroundWorker follows the BackgroundWorker design pattern /// but instead of running an arbitrary computation it iterates a function /// a fixed number of times and reports intermediate and final results.

Recompile your server and reload it. If you encounter errors during compile, go back and check the statements you entered for errors. Once the errors are corrected and you have a new executable, stop your server and copy the new executable to the location of your MySQL installation and restart the server. You can now execute the native function Gregorian as shown in Listings 8-15 and 8-16. To test the Gregorian function for correctness, you can run the julian() command first and use that value as input to the gregorian() function. Listing 8-15. Running the julian() Function mysql> select julian(7,4,2006); +------------------+ | julian(7,4,2006) | +------------------+ | 1852006 | +------------------+ 1 row in set (0.00 sec)

Here are some basic list values: let oddPrimes = [3; 5; 7; 11] let morePrimes = [13; 17] let primes = 2 :: (oddPrimes @ morePrimes) The value and type of primes are as follows:

/// The worker is paramaterized by its internal state type /// /// Percentage progress is based on the iteration number Cancellation checks /// are made at each iteration Implemented via an internal BackgroundWorker type IterativeBackgroundWorker<'T>(oneStep:('T -> 'T), initialState:'T, numIterations:int) = let worker = new BackgroundWorker(WorkerReportsProgress=true, WorkerSupportsCancellation=true) // Create the let completed let error let cancelled let progress events that we will later trigger = new Event<_>() = new Event<_>() = new Event<_>() = new Event<_>().

Listing 8-16. Running the gregorian() Function mysql> select gregorian(1852006); +--------------------+ | gregorian(1852006) | +--------------------+ | 7/4/2006 | +--------------------+ 1 row in set (2.44 sec) Well, that s about it for adding native functions. Now that you have had an introduction to creating native functions, you can further plan your integration with MySQL to include customizations to the server source code.

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