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potential existence of null values: they can come from the .NET APIs, and it is also possible to use Array. zero_create and other backdoor techniques to generate null values for F# types. If necessary, APIs can check for this condition by first converting F# values to the obj type by calling box and then testing for null (see the F# Informal Language Specification for full details). However, in practice, this is not required by the vast majority of F# programs, and for most purposes, the existence of null values can be ignored.

The simplest mutable data structures in F# are mutable records. In 3, you saw some simple examples of immutable records. A record is mutable if one or more of its fields is labeled mutable. This means record fields can be updated using the <- operator: that is, the same syntax used to set a property. Mutable fields are generally used for records that implement the internal state of objects, discussed in s 6 and 7. For example, the following code defines a record used to count the number of times an event occurs and the number of times the event satisfies a particular criterion:

main reason is this code uses a fair number of advanced programming techniques, such as recursion and function pointer redirection. However, the concept as presented is accurate for the example query.

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F# stems from a tradition in programming languages where the emphasis has been on declarative and functional approaches to programming where state is made explicit, largely by passing extra parameters. Many F# programmers use functional programming techniques first before turning to their imperative alternatives, and we encourage you to do the same, for all the reasons listed at the start of this chapter. However, F# also integrates imperative and functional programming together in a powerful way, and indeed F# is actually an extremely succinct imperative programming language! Furthermore, in some cases, no good functional techniques exist to solve a problem, or those that do are too experimental for production use. This means in practice using imperative constructs and libraries is common in F#: for example, many of the examples you saw in 2 and 3 used side effects to report their results or to create GUI components.

type DiscreteEventCounter = { mutable Total: int; mutable Positive: int; Name : string } let recordEvent (s: DiscreteEventCounter) isPositive = s.Total <- s.Total+1 if isPositive then s.Positive <- s.Positive+1 let reportStatus (s: DiscreteEventCounter) = printfn "We have %d %s out of %d" s.Positive s.Name s.Total let newCounter nm = { Total = 0; Positive = 0; Name = nm } You can use this type as follows (this example uses the http function from 2): let longPageCounter = newCounter "long page(s)" let fetch url = let page = http url recordEvent longPageCounter (page.Length > 10000) page Every call to the function fetch mutates the mutable record fields in the global variable longPageCounter. For example: > fetch "http://www.smh.com.au" |> ignore;; val it : unit = () > fetch "http://www.theage.com.au" val it : unit = () > reportStatus longPageCounter;; We have 1 long page(s) out of 2 val it : unit = () Record types can also support members (for example, properties and methods) and give implicit implementations of interfaces, discussed in 6. Practically speaking, this means you can use them as one way to implement object-oriented abstractions. |> ignore;;

Control returns to the JOIN class for evaluation of the expressions and execution of the relational operators. After the results are processed, they are transmitted to the client and then control returns to the sub_select() function, where the end-of-file flag is sent to tell the client there are no more results. Table 3-6 lists the source file associated with query execution.

Regardless of this, we still encourage you to think functionally, even about your imperative programming. In particular, it is always helpful to be aware of the potential side effects of your overall program and the particular characteristics of those side effects. The following sections describe five ways to help tame and reduce the use of side effects in your programs.

One particularly useful mutable record is the general-purpose type of mutable reference cells, or ref cells for short. These often play much the same role as pointers in other imperative programming languages. You can see how to use mutable reference cells in the following example:

I hope that this tour has satisfied your curiosity and if nothing else boosted your appreciation for the complexities of a real-world database system. Feel free to go back through this tour again until you re comfortable with the basic flow. I will discuss a few of the more important classes and structures in the next section.

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