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lmost any application needs a way to get and display data. This is especially true for RIAs. One of the first stages of application design is to define the database schema and business objects. For the AF Client Manager application, we have already defined the objects the application will use to manage data (in the previous chapter). Now we need to define and build a persistent storage location for that data. This chapter introduces the database schema we will use for the AF ClientManager RIA. It also provides some basic principles to follow when designing a relational database to support large-scale RIAs. For this application, we will use MySQL as the database provider, although the database design created in this chapter can be used with other databases. The general practice for this book is to keep all solutions open source (and free), and MySQL fits well with that approach. If you have a commercial application to roll out, you can easily transfer the database schema and SQL commands to a commercial database solution such as Oracle or Microsoft SQL Server. Database design is an activity in which experience is particularly important, and the relational schema I will present here draws heavily on my own practical experience. It embodies a design that I have used with very large online transaction processing (OLTP) databases when data integrity and scalability were essential.

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Let s look at the Annotations per node field first. Its #default_value key is set to variable_get('annotate_limit_per_node', 1) Drupal has a variables table in the database, and key-value pairs can be stored using variable_set($key, $value) and retrieved using variable_get($key, $default). So we re really saying, Set the default value of the Annotations per node field to the value stored in the variables database table for the variable annotate_limit_per_node, but if no value can be found, use the value 1. So when the Reset to defaults button is clicked, Drupal uses the default value of 1.

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The primary goal of database design is to build a scalable and robust solution that is never a bottleneck for a system. The architecture needs to support heavy server workloads, handle the required user base, and provide a stable data management solution. Performance and reliability are also important features for any database. Much of scaling a database solution depends on the size of your user base. In the case of the AF Client Manager application, we are not going to be supporting 200,000 users. The number of users will depend very much on the size of the user organization. So we do not need to consider hosting the database across multiple servers. We can even host the database on the same computer as the web server, if necessary. Over time, the database could get quite large, so we will build a database schema that can expand with the data.

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Before we get into specifics of database design, let s review the definitions of a few terms: Database: A database is a collection of related data that can be persisted from an outside source. The database can be very complex, holding millions of rows of data, or as simple as just a few users in a secure data set. Table: Tables are made up of columns and rows, similar to a spreadsheet. The columns are given unique names to define data elements. Keys: Keys are unique indicators that point to a row or rows of data. A primary key is a unique identifier that can identify a single row in a table. A foreign key is a key in a table that can identify a row in another table. The primary-to-foreign key connection is the foundation of a relational database. Next, let s look at some good practices that apply to all relational database design endeavors.

Caution In order for the settings to be stored and retrieved in the variables table without namespace

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