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If you remember from our discussion on data storage at the beginning of the chapter, a data page is filled with both row data (records) and meta information contained in a data page header Tree-based index layouts take a page (pun intended) out of this technique s book A sort of directory is maintained about the index records data entries which allows data to be spread across a range of data pages in an even manner The directory provides a clear path to find individual, or groups of, records As you know, a read request from disk is much more resource-intensive than a read request from memory If you are operating on a large data set, spread across multiple pages, reading in those multiple data pages is an expensive operation.

Figure 14-10. Specifying the details of the new PL/SQL procedure When you are finished, click the OK button. This will create an empty stored procedure with the details you ve specified and show the skeleton code in the main window pane of the IDE (as shown in Figure 14-11). You can see your stored procedure in the list of stored procedures (in the Server Explorer window).

To fine-tune this example, you might want to adjust the Margin property of the TableLayoutPanel so that the controls it contains line up with other anchored controls on the form. (The example in Figure 21-17 uses 10 pixels rather than the default 3.)

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Tree structures alleviate this problem by dramatically reducing the number of disk accesses needed to locate on which data page a key entry can be found The tree is simply a collection of one or more data pages, called nodes In order to find a record within the tree, the database server starts at the root node of the tree, which contains a set of n key values in sorted order Each key contains not only the value of the key, but it also has a pointer to the node that contains the keys less than or equal to its own key value, but no greater than the key value of the preceding key The keys point to the data page on which records containing the key value can be found The pages on which key values (index records) can be found are known as leaf nodes.

Although anchoring and docking give you a great deal of control, there is some behavior they can t accomplish on their own. One example is resizing adjacent controls proportionately. For example, consider a window that s split into two panels. With anchoring, you can configure one panel to enlarge as the form is widened. However, you can t get both panels to resize to split the new space equitably. As a result, the proportions of the window change. (Windows Explorer is one example of this behavior. As you resize the window, the width of file list changes, but the width of the directory tree does not.) In conventional Windows applications, this problem is usually dealt with by a splitter bar, which lets the user explicitly change the portion of the window allocated to each panel as needed. Another option is to use the TabelLayoutPanel to implement proportional resizing. Figure 21-18 shows an example.

After you ve filled in the body of the PL/SQL stored procedure, you probably need to know if there is anything wrong with the syntax of the procedure. You can compile your stored procedure by rightclicking the desired stored procedure in the Server Explorer and choosing the Compile menu option (as shown in Figure 14-12).

Similarly, index data pages containing these index nodes that do not contain index records, but only pointers to where the index records are located, are called non-leaf nodes Figure 2-6 shows an example of the tree structure Assume a data set that has 100 unique integer keys (from 1 to 100) You ll see a tree structure that has a non-leaf root node holding the pointers to the leaf pages containing the index records that have the key values 40 and 80 The shaded squares represent pointers to leaf pages, which contain index records with key values less than or equal to the associated keys in the root node These leaf pages point to data pages storing the actual table records containing those key values..

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