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This code is equivalent to the following: let powerOfFourPlusTwo n = let n1 = n * n let n2 = n1 * n1 let n3 = n2 + 2 n3 Outscoping a value doesn t change the original value; it just means the name of the value is no longer accessible from the current scope. Because let bindings are only one kind of expression, you can use them in a nested fashion. For example: let powerOfFourPlusTwoTimesSix n = let n3 = let n1 = n * n let n2 = n1 * n1 n2 + 2 let n4 = n3 * 6 n4 Here, n1 and n2 are values defined locally by let bindings within the expression that defines n3. These local values aren t available for use outside their scope. For example, the following code gives an error: let invalidFunction n = let n3 = let n1 = n + n let n2 = n1 * n1 n1 * n2 let n4 = n1 + n2 + n3 n4

> Set.of_list ["b";"a";"b";"b";"c" ];; val it : Set<string> = set [ "a"; "b"; "c" ] > Set.to_list (Set.of_list ["abc"; "ABC"]);; val it : string list = [ "ABC"; "abc" ] Here you can see several things: F# Interactive prints the contents of structured values such as lists and sets. Duplicate elements are removed by the conversion. The elements in the set are ordered. The default ordering on strings used by sets is case sensitive.

// Error! n3 is in scope, but n1 and n2 are not!

Note The current release of MySQL (5.1.9-beta) does not fully support the pluggable mechanism. A number of

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The next two lines of the wordCount function compute the result we re after the number of duplicate words This is done by using two properties, Length and Count, of the values you ve computed: let nWords = wordsLength let nDups = wordsLength - wordSetCount F# performs resolution on property names at compile time (or interactively when using F# Interactive, where there is no distinction between compile time and run time) This is done using compile-time knowledge of the type of the expression on the left of the dot in this case, words and wordSet Sometimes a type annotation is required in your code in order to resolve the potential ambiguity among possible property names For example, the following code uses a type annotation to note that inp refers to a list.

Local scoping is used for many purposes in F# programming, especially to hide implementation details that you don t want revealed outside your functions or other objects. 7 covers this topic in more detail.

modifications are necessary to some of the MySQL source files in order to add and recognize a new storage engine (via the handlerton, which I discuss in a moment). MySQL AB reports that these modifications will be unnecessary in future releases of the MySQL system.

This allows the F# type system to infer that Length refers to a property associated with values of the list type: let length (inp : 'a list) = inpLength Here the 'a indicates that the length function is generic; that is, it can be used with any type of list We cover generic code in more detail in 3 and 5 Type annotations can be useful documentation and, when needed, should generally be added at the point where a variable is declared As you can see from the use of the dot-notation, F# is both a functional language and an object-oriented language In particular, properties are a kind of member, a general term used for any functionality associated with a type or value.

The next portion of the code is as follows: let wordCount (text : string) = let words = splitAtSpaces text let wordSet = Set.ofList words ... This gives you your first taste of using data structures from F# code. The last of these lines lies at the heart of the computation performed by wordCount. It uses the function Set.ofList from the F# library to convert the given words to a concrete data structure that is, in effect, much like the mathematical notion of a set, although internally it s implemented using a data structure based on trees. You can see the results of converting data to a set by using F# Interactive:

One reason you would want to do this rather than convert the data to a format that can be ingested by MySQL is the cost of doing that conversion For example, suppose you have a legacy application that your organization has been using for a long time The data that the application has used is valuable to your organization and cannot be duplicated Furthermore, you may need to use the old application Rather than converting the data to a new format, you can create a storage engine that can read and write the data in the old format Other examples include cases where the data and its access methods are such that you require special data handling to ensure the most efficient means of reading and writing the data.

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