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1 It is generated using a command-line utility that implements the algorithm The utility, gen_lex_hash, has one source code file named gen_lex_hashcc This program produces a file that you will use to replace the existing lexical hash header file (lex_hashh) When modifying the MySQL source code, keep this rule of thumb in mind: whenever you change the code in lexh and add symbols, you must generate the lex_hashh file using gen_lex_hash I provide instructions for both Windows and Linux later in this section Now that you ve told the lexical analyzer there is a create function, you need to provide a function declaration Open the item_createh file and add the following function declaration The Item* a argument is a pointer to the argument used by the function Item *create_func_gregorian(Item* a); Now let s add the function implementation.

So far in this book, you ve seen functions and objects that process their inputs immediately using a single thread of execution where the code runs to completion and produces useful results or state changes. In this chapter, you turn your attention to concurrent, parallel, asynchronous, and reactive programs. These represent substantially different approaches to programming from those you ve seen so far. Some of the reasons for turning to these techniques are as follows: To achieve better responsiveness in a graphical user interface (GUI) To report progress results during a long-running computation and to support cancellation of these computations To achieve greater throughput in a reactive application or service To achieve faster processing rates on a multiprocessor machine or cluster To take advantage of the I/O parallelism available in modern disk drives or network connections To sustain processing while network and disk I/O operations are in process

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type CountingAgent() = let counter = MailboxProcessor.Start(fun inbox -> // The states of the message-processing state machine... let rec loop(n) = async { let! msg = inbox.Receive() match msg with | Increment m -> // increment and continue... return! loop(n+m) | Stop -> // exit return () | Fetch replyChannel -> // post response to reply channel and continue do replyChannel.Post(n) return! loop(n) } // The initial state of the message-processing state machine... loop(0)) member a.Increment(n) = counter.Post(Increment(n)) member a.Stop() = counter.Post(Stop) member a.Fetch() = counter.PostSync(fun replyChannel -> Fetch(replyChannel)) The inferred public types indicate how the presence of a concurrent agent is successfully hidden by the use of an object: type CountingAgent = new : unit -> CountingAgent member Fetch : unit -> int member Increment : n:int -> unit member Stop : unit -> unit Here you can see an instance of this object in action: > let counter = new CountingAgent();; val counter : CountingAgent > counter.Increment(1);; val it : unit = () > counter.Fetch();; val it : int = 1

This simply instantiates the class we ll define in a moment Open the item_createcc file and add the instantiation as shown in Listing 8-12 Listing 8-12 Modifications to the item_createcc File Item *create_func_gregorian(Item* a) { return new Item_func_gregorian(a); } Now that the create function is implemented, you need to create a new class to implement the code for the function This is where most developers get very confused MySQL AB has provided a number of the Item_xxx_func base (and derived) classes for you to use For example, derive your class from Item_str_func for functions that return a string and Item_int_func for.

This chapter covers some of the techniques that can help achieve these outcomes: Using .NET threads and the BackgroundWorker class for background computations Using events and messages to report results back to a GUI Using F# asynchronous workflows and the .NET thread pool to handle network requests and other asynchronous I/O operations Using F# pattern-matching to process message queues Using low-level .NET shared-memory primitives to implement new concurrency techniques and control access to mutable data structures

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1. Knuth, D. E., The Art of Computer Programming. 2nd ed. (Reading: Addison-Wesley, 1997).

11 looked at the most common type of reactive program: GUI programs that respond to events raised on the GUI thread. The inner loop of such an application (contained in the Windows Forms library) spends most of its time blocked and waiting for the underlying operating system to notify it of a relevant event, such as a click from the user or a timer event from the operating system. This notification is received as an event in a message queue. Many GUI programs have only a single

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