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Determining load limits is particularly of interest to web application developers. You want to know before a failure occurs when you are approaching a problematic volume level for the web server and database server. A number of web application benchmarking tools, commonly called load generators, measure these limits effectively. Load generators fall into two general categories: Contrived load generator: This type of load generator makes no attempt to simulate actual web traffic to a server. Contrived load generators use a sort of brute-force methodology to push concurrent requests for a specific resource through the pipeline. In this way, contrived load generation is helpful in determining a particular web page s limitations, but these results are often theoretical, because, as we all know, few web sites receive traffic to only a single web page or resource. Later in this chapter, we ll take a look at the most common contrived load generator available to open-source web application developers: ApacheBench. Realistic load generator: On the flip side of the coin, realistic load generators attempt to determine load limitations based on actual traffic patterns. Typically, these tools will use actual web server log files in order to simulate typical user sessions on the site. These realistic load generation tools can be very useful in determining the limitations of the overall system, not just a specific piece of one, because the entire application is put through the ropes. An example of a benchmarking tool with the capability to do realistic load generation is httperf, which is covered later in this chapter.

CalendarFont, CalendarForeColor, CalendarMonthBackground, CalendarTitleBackColor, CalendarTitleForeColor, and CalendarTrailingForeColor

Note MSDAORA has been deprecated because it uses OCI version 7.0, which is no longer supported by Oracle.

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These properties configure the calendar s font and the color used for parts of its interface. The default colors are provided as static read-only fields for this class (such as DefaultTitleForeColor). However, they are protected, which means you can change them by deriving a custom control from DateTimePicker. Note that the CalendarTrailingForeColor changes the color of the trailing dates. These are the dates that appear on a month page from the previous month (at the beginning) or from the next month (at the end). They are used to fill in the grid. ShowCheckBox displays a small check box inside the dropdown list box. Unless it is checked, the date cannot be modified. The Format property specifies a value from the DateTimePickerFormat enumeration. These options map to date and time formats defined in the Regional and Language Options section of the Control Panel. Alternatively, you can manually specify an exact form by assigning a format string to the CustomFormat property (such as yyyy/MM/DD hh:mm:ss ). Determines whether the drop-down month page lines up with the left or right edge of the combo box. Sets a maximum and minimum date, beyond which the user cannot select. This is a great tool for preventing error messages by making invalid selections impossible. When set to true, disables the drop-down month pages and uses up/down scroll buttons for incrementing part of the date. This is ideal for time-only values. Text returns the formatted date as a string, according to how it is currently displayed. Value returns the represented DateTime object.

To continue our online store application example, suppose that after running a few early benchmark tests, you determine that the benefits of having a natural key on the product SKU outweigh the performance impact you found let s say, you discovered an 8% performance degradation. However, in these early benchmark tests, you used a test data set of 10,000 products and 100,000 orders. While this might be a realistic set of test data for the first six months into production, it might be significantly less than the size of those tables in a year or two. Your benchmark framework will show you how your application will perform with a larger database size, and in doing so, will help you to be realistic about when your hardware or application design may need to be refactored. Similarly, if you are developing commercial-grade software, it is imperative that you know how your database design will perform under varying database sizes and hardware configurations. Larger customers may often demand to see performance metrics that match closely their projected database size and traffic. Your benchmarking framework will allow you to provide answers to your clients questions.

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