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Become familiar with business requirements, goals, and growth projections. Determine the user base and the transactions that will occur. Create usage profiles that reflect the actual page requests and operations that will take place after the site is operating at full capacity. Examine page size and reduce the use
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Before describing Project Builder s interface, let s define some terms and concepts. First, you need to understand targets and build styles. A target collects project components that make up a project (source files, header files, and libraries), defines the basic instructions and attributes that specify how Project Builder builds a project, and holds information a program uses at runtime, such as command-line arguments and environment variables. Think of a target as a way of encapsulating the items and attributes that form a program. Build styles, on the other hand, override certain aspects of a target s build instructions to create specialized versions of the program. Let s illustrate targets and build styles through an example. Imagine you wish to develop a program called AgentServer. The program reads XML -formatted messages from agents, performs some action, and returns a result to the agent. One of the primary requirements of the program is performance: it must service agent request in a timely and predictable manner. To test this requirement, you write several test agents that simulate various agent behaviors and create different versions of your program; each build has different compiler optimizations. The goal is to test these agents with each version of the program and see how they perform. Let s take a high-level look at how you can use targets and build styles for this problem:
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The New York Times offers a slimmeddown version of the paper in its free iPhone 4 app. There are five soft keys at the bottom of the page for Latest, Popular, Saved, Search, and More. Each section carries a sampling of stories from those sections in the current day's paper. Touching More shows you tabs for all sections of the New York Times.
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Triggers are stored batches of T-SQL, much like stored procedures. But instead of being called directly, they execute indirectly when you execute an INSERT, UPDATE, or DELETE operation. You can do almost anything in them that you can do in T-SQL, with only a few caveats (check Books Online for more information). In capable hands particularly the hands of those who understand the caveats of triggers they can fill gaps left by constraints by allowing you to handle problems that constraints are incapable of and have the solution automatically occur without user or programmer involvement. On the other hand, in the wrong hands, they can drag down the performance of your system faster than you can kiss a duck. Some people feel that triggers are more evil than cursors (and putting a cursor in a trigger is a capital offense in some locales). Others use them for just about everything, often to do the sorts of simple checks that you could use a CHECK constraint for. The truth is somewhere in between. There s an overhead in using the inserted and updated virtual tables to access the modified rows inside the trigger, and this overhead needs to be considered before using triggers. There are two different types of triggers. First there are AFTER triggers, which execute after the rows are in the table and after constraints have been applied. These triggers are most often used to validate some condition or to cause some cascading operation that can t be done declaratively using a CHECK constraint. The second type is called INSTEAD OF triggers, and they fire as the first operation before any other actions, even before the row is in the table. Instead of a trigger, you ll have to manually execute the operation you want to occur. For example, if you have an INSTEAD OF INSERT trigger, you have to code the INSERT statement in the trigger to do the INSERT that the trigger fired for. INSTEAD OF triggers can be useful for formatting data, or possibly redirecting data to a different table. An easy example is directing data that s unusual to a holding table, such as taking all data from a data entry clerk but putting out-of-normal-range data into a table for more validation. In this scenario, the user doesn t know there was anything wrong, his job is just to key in data (and yes, no doubt a slap on the wrist will come to users who enter too much out-of-range data, but we can t govern the social aspects of our software, now can we ). INSTEAD OF triggers can also be placed on views as well as tables to allow DML on a view to modify more than one table at a time. Triggers are useful as a last resort when you can t use one of the previously mentioned tools to do the same thing. They have the benefit that you can t forget to invoke them, particularly if you don t have coding practices that require all modifications to an object to use a common object that knows how to protect. The following list represents the main types of uses I have for triggers, and even this list is apt to start a minor argument between T-SQL experts: Cross-database referential integrity (RI) SQL Server doesn t allow declarative constraints across database boundaries, so triggers can be written to validate that data exists in a different database. Databases are independent containers, so
The sample CSV file we ll use is shown in listing 5.18.
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