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Note Modern web development frameworks allow you to put together sophisticated websites with many useful features with almost no coding at all. Code is often used as glue between the incoming requests and back-end databases. For this reason, web programmers often need a variety of design, security, database, and system skills in addition to mastery of one or more programming languages. Some resources for these additional topics are discussed at http://www.expert-fsharp.com/Topics/WebDevelopment.

} The final line of the workflow performs an asynchronous write of the image Once again, AsyncWrite is an extension method added to the NET SystemIOStream class defined in the F# library:.

In this chapter, I ve shown you how to extend the capabilities of the MySQL server by adding your own new functions and commands. You learned how to build a UDF library that can be loaded and unloaded at runtime, how to add a native function to the server source code, and how to add a new SHOW command to the parser and query execution code. You also learned how to add schema tables to the information schema.

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You may already be familiar with various web scripting languages and technologies that allow you to embed bits of code (usually in certain meta-tags or inside special markers) in your pages. When a request is made to such pages (which typically have a different file extension, such as .asp, .aspx, .php, .jsp, and so on), the web server invokes a preprocessor that consumes the page script and outputs the resulting HTML after evaluating each dynamic block. Depending on your web server architecture, such processors can be plugged in on demand (as with Apache s modules) or tied directly to the server technology (as with the Java-based web server Tomcat or as with ASP.NET).

async { use inStream = File.OpenRead(sprintf "Image%d.tmp" i) let! pixels = inStream.AsyncRead(numPixels) let pixels' = transformImage(pixels,i) use outStream = File.OpenWrite(sprintf "Image%d.done" i) do! outStream.AsyncWrite(pixels') } If you now return to the first part of the function, you can see that the overall operation of the function is to create numImages individual asynchronous operations, using a sequence expression that generates a list: let tasks = [ for i in 1 .. numImages -> processImageAsync(i) ] You can compose these tasks in parallel using Async.Parallel and then run the resulting process using Async.Run. This waits for the overall operation to complete and returns the result: Async.Run (Async.Parallel tasks) Table 13-3 shows some of the primitives and combinators commonly used to build asynchronous workflows. Take the time to compare Listings 13-7 and 13-6. Notice the following: The overall structure and flow of the core of Listing 13-7 is similar to Listing 136: that is, the synchronous algorithm, even though it includes steps executed asynchronously. The performance characteristics of Listing 13-7 are the same as those of Listing 13-6. Any overhead involved in executing the asynchronous workflow is easily dominated by the overall cost of I/O and image processing. It s also much easier to experiment with modifications such as making the write operation synchronous.

Object-relational database systems (ORDBSs) are an application of OO theory to RDBSs. ORDBSs provide a mechanism that permits database designers to implement a structured storage and retrieval mechanism for OO data concepts. ORDBSs provide the basis of the relational model meaning, integrity, relationships, and so forth while extending the model to store and retrieve data in an object-centric manner. Implementation is purely conceptual in many cases as the mapping of OO concepts to relational concepts is tentative at best. The modifications, or extensions, to the relational technologies include modifications to SQL that allow the representation of object types, identity, encapsulation of operations, and inheritance. However, these are often loosely mapped to relational theory as complex types. Although expressive, the SQL extensions do not permit the true object manipulation and level of control of OODBSs. The most popular ORDBS is ESRI s ArcGIS Geodatabase environment. Other examples include Oracle and Informix.

Builds a single primitive asynchronous step of an asynchronous computation. The function that implements the step is passed continuations to call after the step is complete or if the step fails. Builds a single asynchronous computation that runs the given asynchronous computations in parallel and waits for results from all to be returned. Each may either terminate with a value or return an exception. If any raise an exception, then the others are cancelled, and the overall asynchronous computation also raises the same exception.

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