The previous chapter describes how to retrieve information from MySQL and display it in web pages using various types of HTML constructs such as tables or hyperlinks. That's a use of MySQL to send information in one direction (from web server to user), but web-based database programming can also serve to collect information sent in the other direction from user to web server, such as the contents of a submitted form. If you're processing a survey form, you might store the information for later use. If the form contains search keywords, you'd use them as the basis for a query that searches the database for information the user wants to see.

MySQL comes into these activities in a fairly obvious way, as the repository for storing information or as the source from which search results are drawn. But before you can process input from a form, you have to create the form and send it to the user. MySQL can help with this, too, because it's often possible to use information stored in your database to generate form elements such as radio buttons, checkboxes, pop-up menus, or scrolling lists:

  • You can select a set of items from a table that lists countries, states, or provinces and convert them into a pop-up menu for use in a form that collects address information.
  • You can use the list of legal values for an ENUM column that contains allowable salutations (Mr., Mrs., and so forth) to generate a set of radio buttons.
  • You can use lists of available colors, sizes, or styles stored in an inventory database to construct fields for a clothing ordering form.
  • If you have an application that allows the user to pick a database or table, you can run a SHOW DATABASES or SHOW TABLES query and use the resulting names to create a list element.

By using database content to generate form elements, you lessen the amount of table-specific knowledge your programs must have and allow them to determine what they need automatically. A script that uses a database to figure out for itself how to generate form elements adaptively handles changes to the database. To add a new country, create a new row in the table that stores the list of countries. To add a new salutation, change the definition of the ENUM column. In each case, you change the set of items in a form element by updating the database, not by modifying the script; the script adapts to the change automatically, without additional programming.

The first part of this chapter covers the following topics relating to web input processing:

  • Generating forms and form elements.

    One way to use database content for form construction is by selecting a list of items from a table and using them to create the options in a list element. But metadata can be used as well. There is a natural correspondence between ENUM columns and single-pick form elements like radio button sets or pop-up menus. In both cases, only one from a set of possible values may be chosen. There is a similar correspondence between SET columns and multiple-pick elements like checkbox groups; any or all of the possible values may be chosen. To construct metadata-based form elements, obtain the column description from the table information returned by SHOW COLUMNS, extract the set of possible values, and use them for the items in the form element.

  • Initializing forms using database contents.

    In addition to using the database to create structural elements of forms, you can also use it to initialize form field values. For example, to allow a user to modify an existing record, retrieve it from the database and load it into an editing form's fields before sending the form to the user.

  • Processing input gathered over the Web.

    This includes input not only from form fields, but also the contents of uploaded files, or parameters that are present in URLs. Regardless of where the information comes from, you'll face a common set of issues in dealing with it: extracting and decoding the information, performing constraint or validity checking on it, and re-encoding the information for query construction to avoid generating malformed queries or storing information inaccurately.

The second part of the chapter illustrates a few ways to apply the techniques developed in the first part. These include applications that show how to use MySQL to present a web-based search interface, create paged displays that contain next-page and previous-page links, implement per-page hit counting and logging, and perform general Apache logging to a database.

For the Perl, PHP, and Python example scripts discussed in this chapter, look under the apache directory of the recipes distribution. For JSP, the scripts are under the tomcat directory; you should already have installed these in the process of setting up the mcb application context (Recipe 16.4). Library routines used by the example scripts are located in files found under the lib directory. Scripts to create the tables used here are located in the tables directory.

Note that although the scripts in this chapter are intended to be invoked from your browser after they have been installed, many of them (JSP pages excepted) can also be invoked from the command line if you wish to see the raw HTML they produce.

To provide a concrete context for discussion, many of the form-processing examples in this chapter are based on the following scenario: in the lucrative field of "construct-a-cow" business endeavors, you run an operation that manufactures build-to-order ceramic bovine figurines, and you want to design an online ordering application that lets customers make selections for several aspects of the product. For each order, it's necessary to collect several types of information:

  • Cow color.

    The particular list of colors available at any particular time changes occasionally, so for flexibility, the values can be stored in a database table. To change the set of colors that customers can choose from, just update the table.

  • Cow size.

    There is a fixed set of sizes that doesn't change often (small, medium, large), so the values can be represented as elements of an ENUM column.

  • The all-important cow accessory items.

    These include a bell, horns, a sporty-looking tail ribbon, and a nose ring. Accessories can be represented in a SET column, because a customer may wish to select more than one of them. In addition, you know from past experience that most customers order horns and a cow bell, so it's reasonable to use those for the column's default value.

  • Customer name and address (street, city, state).

    The possible state names are already stored in the states table, so they can be used as the basis for the corresponding form element.

Given the preceding discussion, a cow_order table might be designed like this:

CREATE TABLE cow_order
 # cow color, figurine size, and accessory items
 color CHAR(20),
 size ENUM('small','medium','large') DEFAULT 'medium',
 accessories SET('cow bell','horns','nose ring','tail ribbon')
 DEFAULT 'cow bell,horns',
 # customer name, street, city, and state (abbreviation)
 cust_name CHAR(40),
 cust_street CHAR(40),
 cust_city CHAR(40),
 cust_state CHAR(2),

The id column provides a unique identifier for each record. It's a good idea to have such a value, and in fact will be necessary when we get to Recipe 18.5, which shows how to use web forms to edit existing records. For that type of activity, you must be able to tell which record to update, which is difficult without a unique record identifier.

The list of available colors is maintained in a separate table, cow_color:

CREATE TABLE cow_color
 color CHAR(20)

For purposes of illustration, assume that the color table looks like this:

| color |
| Black |
| Black & White |
| Brown |
| Cream |
| Red |
| Red & White |
| See-Through |

An application can use these tables to generate list elements in an order entry form, making it unnecessary for the application to have a lot of specialized built-in knowledge about the available options. The next several sections describe how to do this, and how to process the input that you obtain when a user submits a form.

Using the mysql Client Program

Writing MySQL-Based Programs

Record Selection Techniques

Working with Strings

Working with Dates and Times

Sorting Query Results

Generating Summaries

Modifying Tables with ALTER TABLE

Obtaining and Using Metadata

Importing and Exporting Data

Generating and Using Sequences

Using Multiple Tables

Statistical Techniques

Handling Duplicates

Performing Transactions

Introduction to MySQL on the Web

Incorporating Query Resultsinto Web Pages

Processing Web Input with MySQL

Using MySQL-Based Web Session Management

Appendix A. Obtaining MySQL Software

Appendix B. JSP and Tomcat Primer

Appendix C. References

MySQL Cookbook
MySQL Cookbook
ISBN: 059652708X
EAN: 2147483647
Year: 2005
Pages: 412
Authors: Paul DuBois © 2008-2020.
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