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From the perspective of F# programming, you must also consider the following constructs: Discriminated union types and their tags (s 3 and 9) Record types and their fields ( 3) Type abbreviations ( 3) Values and functions declared using let and let rec ( 3) Modules ( 6) Named arguments ( 6) Optional arguments ( 6)

Note Previous versions of MySQL (prior to version 5.1) permit the creation of custom storage engines, but

> allFiles @"c:\WINDOWS\system32";; val it : seq<string> = = seq ["c:\\WINDOWS\\system32\\$winnt$.inf"; "c:\\WINDOWS\\system32\\12520437.cpx"; "c:\\WINDOWS\\system32\\12520850.cpx"; "c:\\WINDOWS\\system32\\6to4svc.dll"; ...] The allFiles function is interesting partly because it shows many aspects of F# working seamlessly together: Functions are values: The function allFiles is recursive and is used as a first-class function value within its own definition. Pipelining: The pipelining operator |> provides a natural way to present the transformations applied to each subdirectory name. Type inference: Type inference computes all types in the obvious way, without any type annotations. NET interoperability: The System.IO.Directory operations provide intuitive primitives, which can then be incorporated in powerful ways using succinct F# programs. Laziness where needed: The function Seq.map applies the argument function lazily (on demand), which means subdirectories will not be read until really required. One subtlety with programming with on-demand or lazy values such as sequences is that side effects such as reading and writing from an external store should not in general happen until the lazy sequence value is actually consumed. For example, the previous allFiles function reads the top-level directory C:\ as soon as allFiles is applied to its argument. This may not be appropriate if the contents of C:\ are changing. You can delay the computation of the sequence by using the library function Seq.delay or by using a sequence expression, covered in the next section, where delays are inserted automatically by the F# compiler.

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Framework library design is always nontrivial and often underestimated. F# framework and library design methodology is inevitably strongly rooted in the context of .NET OO programming. This chapter gives our opinions about how you can approach library design in the context of F# programming. These opinions are neither proscriptive nor official. More official guidelines may be developed by the F# team and community at some future point, although ultimately the final choices lie with F# programmers and software architects.

you were required to recompile the server executable in order to pick up the changes. With the new version 5.1 pluggable architecture, the modular API permits the storage engines to have diverse implementation and features and allows them to be built independently of the MySQL system code. Thus, you need not modify the MySQL source code directly. Your new storage engine project allows you to create your own custom engine and then compile and link it with an existing running server.

Note Some F# programmers choose to use library and coding conventions much more closely associated with

Aggregate operators are a powerful way of working with seq<type> values. However, F# also provides a convenient and compact syntax called sequence expressions for specifying sequence values that could be built using operations such as choose, map, filter, and concat. Sequence expressions can also be used to specify the shapes of lists and arrays. It is valuable to learn how to use sequence expressions: They are a compact way of specifying interesting data and generative processes. They are used to specify database queries when using data access layers such as Microsoft s Language Integrated Queries (LINQ). See 15 for examples of using sequence expressions in this way. They are one particular use of workflows, a more general concept that has several uses in F# programming. We discuss workflows in 9, and we show how to use them for asynchronous and parallel programming in 13.

Once you are comfortable with the example storage engine and how it works, you can copy and rename the files to something more appropriate to your new engine and then begin modifying the files to read from XML files. Like all good programmers, you begin by implementing one method at a time and testing your code until you are satisfied it works properly. Once you

OCaml, Python, or a particular application domain such as hardware verification. For example, OCaml coding uses underscores in names extensively, a practice avoided by the .NET Framework guidelines but used in places by the F# library. Some also choose to adjust coding conventions to their personal or team tastes.

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