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Locks are the simplest way to enforce mutual exclusion between two threads attempting to read or write the same mutable memory location. Listing 13-14 shows an example of code with a race condition. Listing 13-14. Shared-Memory Code with a Race Condition type MutablePair<'T,'U>(x:'T,y:'U) = let mutable currentX = x let mutable currentY = y member p.Value = (currentX,currentY) member p.Update(x,y) = // Race condition: This pair of updates is not atomic currentX <- x; currentY <- y let p = new MutablePair<_,_>(1,2) do Async.Start (async { do (while true do p.Update(10,10)) }) do Async.Start (async { do (while true do p.Update(20,20)) }) Here is the definition of the F# lock function: open System.Threading let lock (lockobj : obj) f = Monitor.Enter lockobj; try f() finally Monitor.Exit lockobj The pair of mutations in the Update method isn t atomic; that is, one thread may have written to currentX, another then writes to both currentX and currentY, and the final thread then writes to currentY, leaving the pair holding the value (10,20) or (20,10). Mutable data structures are inherently prone to this kind of problem if shared between multiple threads. Luckily, F# code tends to have fewer mutations than imperative languages, because functions normally take immutable values and return a calculated value. However, when you do use mutable data structures, they shouldn t be shared between threads, or you should design them carefully and document their properties with respect to multithreaded access. Here is one way to use the F# lock function to ensure that updates to the data structure are atomic. Locks are also required on uses of the property p.Value: do Async.Start (async { do (while true do lock p (fun () -> p.Update(10,10))) }) do Async.Start (async { do (while true do lock p (fun () -> p.Update(20,20))) })

The other side to reflective meta-programming in F# is quotations. These allow you to reflect over expressions in much the same way you ve been reflecting over types in the previous section. It s simple to get going with F# quotations; you simply open the appropriate modules and surround an expression with <@ . . . @> symbols: > open Microsoft.FSharp.Quotations;; > open Microsoft.FSharp.Quotations.Typed;; > let oneExpr = <@ 1 @>;; val oneExpr : Expr<int> > oneExpr;; val it : Expr<int> = <@ (Int32 1) @>

This doesn t mean the DBXP technologies can t be modified for use as replacements for the MySQL system internals; rather, the DBXP is designed for exploration rather than production.

as a relational database. We discuss a number of immutable data structures in the Some Common Immutable Data Structures sidebar. Table 3-9. Some Sample Functions in the List Module

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HTTP is a stateless protocol, so special care must be taken to preserve the state of a given page. For instance, your visitor may have just filled out a long form and, as it sometimes happens, he or she made an error. After posting the page, this visitor expects to see all entered data preserved

The DBXP project is a series of classes that implement alternative algorithms and mechanisms for internal query representation, query optimization, query execution, and file access This not only gives you an opportunity to explore an advanced implementation of query optimization theory, but also enables the core of the DBXP technology to execute without modification of the MySQL internal operation This provides the additional security that the native MySQL core executable code will not be affected by the addition of the DBXP technologies This added benefit can help mitigate some of the risks of modifying an existing system The implementation of the MySQL parser (see sql_parsecc) directs control to specific instances of the execution subprocesses by making calls to functions implemented for each SQL command For example, the SHOW command is redirected to functions implemented in the sql_showcc file The MySQL parser code in sql_parse.

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