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When imperative programmers begin to use F#, they frequently use mutable local variables or reference cells heavily as they translate code fragments from their favorite imperative language into F#. The resulting code often looks very bad. Over time, they learn to avoid many uses of mutable locals. For example, consider the following (naive) implementation of factorization, transliterated from C code: let factorizeImperative n = let mutable primefactor1 = 1 let mutable primefactor2 = n let mutable i = 2 let mutable fin = false while (i < n && not fin) do if (n % i = 0) then primefactor1 <- i primefactor2 <- n / i fin <- true i <- i + 1 if (primefactor1 = 1) then None else Some (primefactor1, primefactor2) This code can be replaced by the following use of an inner recursive function: let factorizeRecursive n = let rec find i = if i >= n then None elif (n % i = 0) then Some(i,n / i) else find (i+1) find 2 The second code is not only shorter, but it also uses no mutation, which makes it easier to reuse and maintain. It is also easy to see that the loop terminates (i is increasing toward n) and to see the two exit conditions for the function (i >= n and n % i = 0). Note that the state i has become an explicit parameter.

> let cell1 = ref 1;; val cell1 : int ref = {contents = 1;} > !cell1;; val it : int = 1 > cell1 := 3;; val it : unit = () > cell1;; val it : int ref = {contents = 3;} > !cell1;; val it : int = 3 The key type is 'T ref, and its main operators are ref, !, and :=. The types of these operators are as follows: val ref : 'T -> 'T ref val (:=) : 'T ref -> 'T -> unit val (!) : 'T ref -> 'T These allocate a reference cell, mutate the cell, and read the cell, respectively. The operation cell1 := 3 is the key one; after this operation, the value returned by evaluating the expression !cell1 is changed. You can also use either the contents field or the Value property to access the value of a reference cell. Both the 'T ref type and its operations are defined in the F# library as simple record data structures with a single mutable field: type 'T ref = { mutable contents: 'T } let (!) r = r.contents let (:=) r v = r.contents <- v let ref v = { contents = v } The type 'T ref is a synonym for a type Microsoft.FSharp.Core.Ref<'T> defined in this way.

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It s useful to know which data structures are mutable and which aren t. If a data structure can be mutated, then this is typically evident in the types of operations you can perform on that structure. For example, if a data structure Table<'Key,'Value> has an operation like the following, then in practice you can be sure that updates to the data structure modify the data structure itself:

There are many additional libraries in the MySQL source tree. MySQL AB has long worked diligently to encapsulate and optimize many of the common routines used to access the supported operating systems and hardware. Most of these libraries are designed to render the code both operating system and hardware agnostic. These libraries make it possible to write code so that specific platform characteristics do not force you to write specialized code. Among these libraries are libraries for managing efficient string handling, hash tables, linked lists, memory allocation, and many others. Table 3-7 lists the purpose and location of a few of the more common libraries.

Where possible, separate out as much of your computation as possible using side-effect-free functional programming. For example, sprinkling printf expressions throughout your code may make for a good debugging technique but, if not used wisely, can lead to code that is difficult to understand and inherently imperative.

That is, the updates to the data structure are destructive, and no value is returned from the operation; the result is the type unit, which is akin to void in C and many other languages. Likewise, the following member indicates the data structure is almost certainly mutable:

Tip The best way to discover if a library exists for a routine that you re trying to use is to look through the

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