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One area that is often confusing is the concept of what compiled means. A compiled query is an actual compilation of an iterative query execution plan, but some researchers (like C. J. Date) consider a compiled query one that has been optimized and stored for future execution. As a result, you must take care when considering using a compiled query. In this work, the use of the word compiled is avoided because the query optimizer and execution engine do not store the query execution plan for later reuse, nor does the query execution require any compilation or assembly to work.

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Though not mentioned specifically in the following use cases, this system will be designed to accommodate large numbers of users. In 9, for instance, the Windows Forms UI will use the mobile object features of CSLA .NET to run the application in a physical n-tier deployment with an application server. This physical architecture will provide for optimum scalability. In 10, the Web Forms UI will make use of the CSLA .NET framework s ability to run the application s UI, business logic, and data access all on the web server. Again, this provides the highest scaling and best-performing configuration, because you can easily add more web servers as needed to support more users.

(There is no user named freddykrueger in the available directories.)

Note The concept of a stored procedure is a saved plan it is compiled, or optimized, for execution at a

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Since this is a project-tracking system, there s no surprise that the application must work with projects. Here are some use cases describing the users expectations.

A project manager can add projects to the system. Project data must include key information, including the project s name, description, start date, and end date. A project can have a unique project number, but this isn t required, and the project manager shouldn t have to deal with it. The project s name is the field by which projects are identified by users, so every project must have a name. The start and end dates are optional. Many projects are added to the system so that a list of them can be kept, even though they haven t started yet. Once a project has been started, it should

How can you teach someone how an optimizer works without allowing them to get their hands dirty with a project Furthermore, how can you be expected to know the internals of a database system without actually seeing them I answer these questions in this section by discussing how MySQL can be used as an experimental test bed for professionals and academics alike.

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have a start date, but no end date. When the project is complete, the project manager can enter an end date. These dates will be used to report on the average lengths of the projects, so obviously the end date can t be earlier than the start date. Every project also has a list of the resources assigned to it (see the Assigning a Resource section later in this chapter).

There are several ways to use MySQL to conduct experiments. For example, you could study the internal components using an interactive debugger or use the MySQL system as a host for your own implementation of internal database technologies. If you are going to conduct experiments, consider using a dedicated server for the experiments. This is important if you plan to use MySQL to develop your own extensions. You don t want to risk contamination of your development server by the experiments.

Project managers can edit any existing projects. The manager chooses from a list of projects, and can then edit that project. They need the ability to change the project s start and end dates, as well as its description. They also need to be able to change the resources assigned to the project (see the Assigning a Resource section later in this chapter).

> sudo mcxrefresh 2010-03-31 16:51:16.706 mcxrefresh[351:903] mcxrefresh- requires uid or username parameter 2010-03-31 16:51:16.709 mcxrefresh[351:903] mcxrefresh- returned error status 1

The most invasive method of experimenting with MySQL is through modifications to the source code. This involves observing the system as it runs and then designing experiments to change portions by replacing an algorithm or section of code with another and observing the changes in behavior. Although this approach will enable you to investigate the internal workings of MySQL, making changes to the source code in this manner may result in the server becoming too unstable for use especially if you push the envelope of the algorithms and data structures. However, there is no better way to learn the source code than to observe it in action. Tests conducted in this manner can then be used to gather data for other forms of experimentation.

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