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most binary and source distributions and can be run on Windows.7 When MySQL is installed, you will find the run-all-tests.pl Perl script in the sql-bench directory under the installation directory. The tests are designed in the regression test sense in that the tests are intended to be run to record the performance of the system under current conditions. The benchmarking suite is also available as a separate download for most operating systems from the MySQL developer web site (http://dev.mysql.com). Like most benchmarking tools, the MySQL Benchmarking Suite is best used to determine the effects of changes to the system and the environment. The benchmarking suite differs somewhat from the testing suite in that the benchmarking suite has the ability to run benchmarks against other systems. It is possible to use the benchmarking suite to run the same benchmarks against your MySQL, Oracle, and Microsoft SQL Server installations. As you can imagine, doing so can be helpful in determining how much better MySQL performs in your environment than your existing database system. To run the benchmarks against the other servers, you can use the --server='server' command-line switch. Values for this parameter include MySQL, Oracle, Informix, and MS-SQL. A host of command-line parameters are available for you to choose from to control the benchmarking suite. Table 4-2 lists a few popular ones and an explanation of each. See the README file in the sql-bench directory for more information about the command-line parameters. Table 4-2. Command-Line Parameters for the MySQL Benchmarking Suite

type CountingOutputSink(writeCharFunction: char -> unit) = let mutable count = 0 interface ITextOutputSink with member x.WriteChar(c) = count <- count + 1; writeCharFunction(c) member x.WriteString(s) = s |> String.iter (x :> ITextOutputSink).WriteChar member x.Count = count

The first technique applies when you make a definition such as empties, shown earlier, but you meant to create one value. Recall that this definition was problematic because it s not clear what type of array is being created: let empties = Array.create 100 [] If you meant to create one value with a specific type, then use an explicit type annotation: let empties : int list [] = Array.create 100 [] The value is then not generic, and the value restriction doesn t apply.

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Saves the results of the benchmarks to a file. Use with the --dir option to specify a directory to store the results in. Result files are named using the same output of the Unix command uname a. Specifies the user to log into the server. Specifies the password of the user for logging into the server. Specifies the hostname of the server. Specifies running the minimal benchmarking tests. Omitting this parameter executes the entire benchmarking suite of tests. For most uses, the small tests are adequate for determining the more common performance metrics.

The next technique applies when you re defining generic functions. In this case, make sure you define them with explicit arguments. For example, look at the following definition of a function value: let mapFirst = List.map fst You may expect this to be a generic function with type ('a * 'b) list -> 'a list. However, this isn t what happens. Type variables are automatically generalized at true syntactic function definitions that is, function definitions with explicit arguments. The function mapFirst has implicit arguments. Fortunately, it s easy to work around this by making the arguments explicit: let mapFirst inp = List.map fst inp This function now has the following type: val mapFirst : ('a * 'b) list -> 'a list When there is only one argument, our favorite way of writing the extra arguments is as follows: let mapFirst inp = inp |> List.map (fun (x,y) -> x) The same problem arises when you try to define functions by composition. For example: let printFstElements = List.map fst >> List.iter (printf "res = %d") The arguments here are implicit, which causes problems. This definition isn t automatically generalized because this isn t a syntactic function. Again, make the arguments explicit: let printFstElements inp = inp |> List.map fst |> List.iter (printf "res = %d")

Note Qualifying object implementations by function parameters can be seen as a simple form of the object-oriented design pattern known as delegation, since parts of the implementation are delegated to the function values. Delegation is a powerful and compositional technique for reusing fragments of implementations and is commonly used in F# as a replacement for object-oriented implementation inheritance.

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