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You might expect that ASP would be implemented as an ISAPI filter, but as you can see in this investigation of the ASP.dll included with IIS 5.0, ASP is implemented using an ISAPI extension. It s surprisingly simple to create your own ASP-like system. Simply register an extension you want to process and add it to the Application Configuration dialog box. Next create an ISAPI DLL that will be called when a file with the specified extension is included in a URL. When a URL with the specified file extension is requested, the HttpExtensionProc function in the ISAPI DLL is called. ISAPI DLLs have access to callback functions to allow them to get all the information they need to process requests. Why might you create your own ISAPI DLL and map it to a specific file extension If you have very specialized scripting requirements, this might be a reasonable solution if no other reasonable scripting alternative is available. Or you might want to create an ASP-like scripting engine in a language not currently available. With the advent of ASP.NET, there s very little reason to implement a different language in exactly this way. ASP.NET provides a much more convenient and powerful way to include of new languages.

So, when designing insert processes, your first choice should be to use a BULK operation The second choice should be to use a set-based multirow INSERT (INSERT SELECT), and the last choice should be individual INSERTs The basic rule is the amount of logging Individual INSERTs incur substantially more logging than multirow INSERTs, which in turn incur more logging than BULK operations that are run in a database with a non-FULL recovery model Another factor that will affect the performance of your inserts is the transaction size This is a tricky issue The worst-case scenario is inserting individual rows, each in its own transaction In such a case, not only is the INSERT fully logged, each INSERT causes the writing of three records to the transaction log: BEGIN TRAN, the INSERT itself, and a COMMIT TRAN.

Hosting a survey in a web role in a different geographic location doesn t, by itself, mean that people filling out the survey will see the best response times when they use the site. To render the survey, the application must retrieve the survey definition from storage, and the application must save the completed survey results to storage. If, in the example shown in Figure 1, the application storage is in the U.S. data center, there is little benefit to European customers accessing a website hosted in the European data center. Figure 2 shows how Tailspin designed the application to handle this scenario and resolve the issue just described.

Besides the excessive writes to the log, you need to consider the overhead involved with maintaining each transaction (for example,.

ASP is a different type of development environment. First, ASP is a scripting environment. You simply edit the page, place it in a properly configured directory with the proper permissions assigned, and call it from a browser. Second, and something that was originally quite impressive but would later become a significant obstacle to development, ASP code can be mixed with standard HTML. Note Active Server Pages, long known as ASP, has unfortunately become a victim of a name collision: ASP is also used to refer to Application Service Providers. To avoid confusion, throughout this book, ASP refers to Active Server Pages. I ll refer to Application Service Providers as Application Service Providers rather than the using the abbreviation ASP. ASP code is generally written in Microsoft Visual Basic Scripting Edition (VBScript), but Microsoft JScript is also available. Listing 1-3 is a sample ASP application, SayHelloASP, written in VBScript. Listing 1-3 The SayHelloASP sample application

acquiring locks, releasing locks, and so on) To improve insert performance, you want to encapsulate each batch of multiple rows into a single transaction The question is, what's the optimal transaction size That's the tricky part Things are not black and white in the sense that single-row transactions would be the worst-case scenario and one big transaction would be the best-case scenario In practice, as the transaction grows larger, the insert performance improves up to a point The point at which insert performance starts degrading is when maintaining the huge transaction involves too much overhead for SQL Server Many factors affect the transaction size that would give you the optimal insert performance These include the hardware, layout of your database (data, log), index design, and so on So, in practical terms, the best way to figure out the optimal transaction size for a given table is to use a benchmark.

Just test your insert process with different transaction sizes, increasing or decreasing the number of rows you encapsulate in a single transaction based on the performance that you get After tweaking the transaction size several times like this, you will find the optimal one When tuning single row inserts, in your test environment you can form a loop that inserts a row in each iteration, and maintain a counter in your INSERT loop Open a new transaction before every n iterations, where n is the number of rows you want to test inserting in a single transaction, and commit the transaction after every n iterations I've seen production environments that collect the data for insertion from the source environments, and form such a loop to insert data to the target tables Of course, not every system is designed to accommodate such a looping logic.

ASP programmers seldom needed to understand the underlying Win32 API that supported ASP within IIS. Indeed, VBScript and JScript offered extremely limited options for doing anything more than the language itself allowed. ASP.NET programmers, on the other hand, have full access to all that the .NET Framework has to offer. Using C# or Visual Basic .NET, along with the .NET Framework, enable the ASP.NET programmer to do virtually anything the Win32 programmer can do.