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Let s define our output in generic terms. Our shopping cart application requires that a list of products be displayed when a set of criteria are searched on by a user (see figure 8.4). The output is determined based on specific selected criteria involving the categories, products, and manufacturers. The products must be displayed in increments of four products per page. Our Dynamic SQL must be able to produce the paged product list and handle the complex variations of values the user may enter.

Item PK FK1 itemId productId name description listPrice unitPrice supplier status attr1 attr2 attr3 attr4 attr5

If there is no Python interpreter installed, you will probably get an error message similar to the following: bash: python: command not found In that case, you need to install Python yourself, as described in the following sections.

Figure 1-8. Step 4: Configuration and deployment Once step 4 has completed, you should see a window similar to that shown in Figure 1-9, notifying you that setup has completed successfully.

public class ProductSearchCriteria { private String[] categoryIds; private String productName; private String productDescription; private String itemName; private String itemDescription; // setters and getters }

Several package systems and installation mechanisms exist for Linux. If you re running a Linux system with some form of package manager, chances are you can get Python through it.

Essentially, each field on the search page is mapped to a property on the search criteria class, which is a simple JavaBean.

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We are going to break from the form we used in our previous example by determining the input requirements before we identify the database structures involved. The user will perform searches based on five criteria. The list of criteria will contain the categories, product name, product description, item name, and item description. The product name and product description will allow for wildcard searches using the standard database percent (%) syntax. There will be a multiselect drop-down list that will allow users to narrow the search to a list of categories. With these complex input requirements, we will need to understand

Figure 1-9. Successful setup completion At this point, simply click on the close button to finish the installation.

Note You will probably need to have administrator privileges (a root account) in order to install Python

Figure 8.5 The relationships between the various tables involved in searching for a list of products

which database structures are involved with accomplishing this. Figure 8.5 shows the tables that we will be working with in our examination of Dynamic SQL. Now let s define which table structures are involved. Three database tables are involved in fulfilling our requirements (figure 8.5). We are using the Product table from our previous example. The two new tables introduced in this example are named Category and Item. Category is a simple table that defines the category that the product belongs in. The Item table defines the various product permutations.

For example, if you re running Debian Linux, you should be able to install Python with the following command: $ apt-get install python If you re running Gentoo Linux, you should be able to use Portage, like this: $ emerge python In both cases, $ is, of course, the bash prompt.

After the installation is completed, click the Start button on the Windows Taskbar, then click All Programs to see if the Microsoft SQL Server Modeling CTP program group appears in the All Programs list. If you click on this program group, you should see Intellipad, Quadrant, and other options listed, as shown in Figure 1-10. The order of the items may not be the same as shown in the figure, but you can rearrange the items by clicking and dragging each to the position you want.

Now that we have defined the inputs and outputs, we can write the SQL using simple static SQL that we can run in a query tool. Listing 8.11 shows a static SQL statement that we will start with and make into a dynamic statement.

Note Many other package managers out there have automatic download capabilities, including Yum,

SELECT p.PRODUCTID AS PRODUCTID, p.NAME AS NAME, p.DESCRIPTION AS DESCRIPTION, p.IMAGE AS IMAGE, p.CATEGORYID AS CATEGORYID FROM Product p INNER JOIN Category c ON c.categoryId=p.categoryId INNER JOIN Item i ON i.productId = p.productId

WHERE c.categoryId IN ('ACTADV') AND p.name LIKE '007' AND p.description LIKE '007' AND i.name LIKE 'PS2' AND i.description LIKE 'PS2'

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