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The simple controls developed in this chapter work by drawing their content on the fly. In many cases, this approach is completely acceptable. However, in some situations, it can slow down the responsiveness of your application s user interface. Problems are most likely to occur when you have a large number of controls that render themselves with complex painting logic. For example, if your buttons incorporate gradients, multiple images, alpha blending, and other effects, refreshes may perform sluggishly. Although there are no hard and fast rules, refreshes are typically considered to take an unreasonable amount of time if they include a delay that s noticeable to the user.

In conclusion, ODP.NET and ODT.NET make a powerful product combination that harnesses the power of the Oracle database and exposes them to you in the familiar .NET environment. We ve now reached the end of this book, and I hope these pages have given you deeper insight into a tool that will help you build compelling Oracle database applications that run faster, more securely, and do much more.

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Note Unfortunately, double buffering can t solve this problem. First of all, double buffering is implemented on a class-specific basis. This means you can buffer the painting in a form s OnPaint() method or a single control s OnPaint() method, but you can t put several controls into the same buffer. Another problem is that double buffering simply reduces flicker, it doesn t improve refresh speed. If your drawing is time consuming, it could take an unreasonable amount of time to redraw on-screen elements.

An application that generates inconsistent data is a maintenance nightmare. It requires a database administrator s constant attention and can produce inaccurate, unreliable reports. The most effective way to ensure that an application cannot store inconsistent data is to ensure that the database itself enforces relationships through foreign key constraints. While it is true that the application code could be fixed to prevent the adding of the child records without a parent record, the only way to ensure consistent data is to provide for the relation through the database. Astute readers may correctly point out that the scenario outlined in this example could also have been prevented through the use of transactions (see 3, where we cover transaction processing, including topics related to data consistency and constraints). While this is true, transactions are not enforced at the table level of the database, and, like the application code in the example, a poorly written transaction could just as easily produce the same effect. Unfortunately, inconsistent data is common in many MySQL-based database applications for two reasons: MySQL makes it painfully easy to create table structures that have no inherent referential integrity (MyISAM tables). This has been pointed out by many experts on database systems, and their complaints have been the major catalyst for an increased use of InnoDB table structures and features such as constraints in later versions of MySQL.1 Because of the availability and easy installation of MySQL, programmers with little-tono knowledge of database design have created a flurry of LAMP-based applications2 based on poor database designs.

One solution to this problem is to implement caching in your control. The basic idea is for your control to create in-memory buffers of the different button states. Then, when a button changes from one state to another, you simply need to copy the buffer to the control surface (rather than rerender it from scratch). This approach increases memory usage, but reduces redraw times. In the examples shown earlier, the AnimatedButtonBase class is an ideal place to implement the caching logic, because then any derived class can take advantage of it. Classes like the RolloverButton, which simply write out images that are embedded in the assembly as resources, probably don t benefit from caching. Complex gel buttons that are rendered dynamically quite possibly will benefit. The first step to implement caching is to create a property that allows you to switch caching on or off:

Caution Foreign key constraints were introduced for the InnoDB storage engine in version 3.23.44, but

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