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n the previous chapter, you implemented a selectable list of departments for the HatShop web site. However, a product catalog means much more than that list of departments. In this chapter, you ll add many new product catalog features. This chapter has a similar structure to the last chapter, but there s a lot of new functionality to add, which involves quite a bit of code. Review Figures 3-1, 3-2, and 3-3 from 3 to get a visual feeling of the new functionality you ll implement in this chapter. In this chapter, you will Learn about relational data and the types of relationships that occur between data tables, and then create the new data structures in your database. Understand how to join related data tables, how to use subqueries, how to implement paging at the data tier level, and even more theory about PL/pgSQLl functions and techniques. Complete the business tier to work with the new PL/pgSQL functions, send parameters, and pass requested data to the presentation tier. Complete the presentation tier to show your visitor details about the catalog s categories, products, and more.

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3. Enter the value you re comparing to in the Value text box. 4. To enter additional filter criteria, select And or Or, and then repeat steps 1 3. For example, if you d like to display flights that occurred between November 1 and November 30, 2005, enter the filter as shown in Figure 4-8.

Given the new functionality you are adding in this chapter, it s not surprising that you need to add more data tables to the database. However, this isn t just about adding new data tables. You also need to learn about relational data and the relationships that you can implement between the data tables, so that you can obtain more significant information from your database.

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It s no mystery that a database is something that stores data. However, today s modern Relational Database Management Systems (RDBMS), such as PostgreSQL, MySQL, SQL Server, Oracle, DB2, and others, have extended this basic role by adding the capability to store and manage relational data. This is a concept that deserves some attention. So what does relational data mean It s easy to see that every piece of data ever written in a real-world database is somehow related to some already existing information. Products are related to categories and departments, orders are related to products and customers, and so on. A relational database keeps its information stored in data tables but is also aware of the relations between them. These related tables form the relational database, which becomes an object with a significance of its own, rather than simply being a group of unrelated data tables. It is said that data becomes information only when we give significance to it, and establishing relations with other pieces of data is an ideal means of doing so. Look at the product catalog to see what pieces of data it needs and how you can transform this data into information. For the product catalog, you ll need at least three data tables: one for departments, one for categories, and one for products. It s important to note that physically each data table is an independent database object, even if logically it s part of a larger entity in other words, even though we say that a category contains products, the table that contains the products is not inside the table that contains categories. This is not in contradiction with the relational character of the database. Figure 4-1 depicts a simple representation of three data tables, including some selected sample data.

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Figure 4-8. Use And to join two filters to display dates within a range of dates. If you want to identify blank or nonblank values, select is equal to or is not equal to, and then leave the Value text box empty.

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Table with categories Name Christmas Hats Halloween Hats St. Patrick s Day Hats Berets Driving Caps Theatrical Hats Military Hats

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