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the layers that depend on it. There are patterns that can help with the implementation of a proper abstraction layer, the most popular of which is the Data Access Objects (DAO) pattern. Some frameworks, including iBATIS, implement this pattern for you. We discuss the iBATIS DAO framework in chapter 11. The persistence framework The persistence framework is responsible for interfacing with the driver (or interface). The persistence framework will provide methods for storing, retrieving, updating, searching, and managing data. Unlike the abstraction layer, a persistence framework is generally specific to one class of storage infrastructure. For example, you might find a persistence API that deals exclusively with XML files for storing data. However, with most modern enterprise applications, a relational database is the storage infrastructure of choice. Most popular languages come with standard APIs for accessing relational databases. JDBC is the standard framework for Java applications to access databases, while ADO.NET is the standard database persistence framework for .NET applications. The standard APIs are general purpose and as a result are very complete in their implementation, but also very verbose and repetitive in their use. For these reasons many frameworks have been built on top of the standard ones to extend the functionality to be more specific, and therefore more powerful. iBATIS is a persistence framework that deals exclusively with relational databases of all kinds and supports both Java and .NET using a consistent approach. The driver or interface The storage infrastructure can be as simple as a comma-delimited flat file or as complex as a multimillion-dollar enterprise database server. In either case, a software driver is used to communicate with the storage infrastructure at a low level. Some drivers, such as native file system drivers, are very generic in functionality but specific to a platform. You will likely never see a file input/output (I/O) driver, but you can be sure that it is there. Database drivers, on the other hand, tend to be complex and differ in implementation, size, and behavior. It is the job of the persistence framework to communicate with the driver so that these differences are minimized and simplified. Since iBATIS only supports relational databases, that is what we ll focus on in this book.
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1.2.5 The relational database
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iBATIS exists entirely to make accessing relational databases easier. Databases are complex beasts that can involve a lot of work to use them properly. The database
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The iBATIS philosophy
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is responsible for managing data and changes to that data. The reason we use a database instead of simply a flat file is that a database can offer a lot of benefits, primarily in the areas of integrity, performance, and security. Integrity Integrity is probably the most important benefit, as without it not much else matters. If our data isn t consistent, reliable, and correct, then it is less valuable to us or possibly even useless. Databases achieve integrity by using strong data types, enforcing constraints, and working within transactions. Databases are strongly typed, which means that when a database table is created, its columns are configured to store a specific type of data. The database management system ensures that the data stored in the tables are valid for the column types. For example, a table might define a column as VARCHAR(25) NOT NULL. This type ensures that the value is character data that is not of a length greater than 25. The NOT NULL part of the definition means that the data is required and so a value must be provided for this column. In addition to strong typing, other constraints can be applied to tables. Such constraints are usually broader in scope in that they deal with more than just a single column. A constraint usually involves validation of multiple rows or possibly even multiple tables. One type of constraint is a UNIQUE constraint, which ensured that for a given column in a table a particular value can be used only once. Another kind of constraint is a FOREIGN KEY constraint, which ensures that the value in one column of a table is the same value as a similar column in another table. Foreign key constraints are used to describe relationships among tables, and so they are imperative to relational database design and data integrity. One of the most important ways a database maintains integrity is through the use of transactions. Most business functions will require many different types of data, possibly from many different databases. Generally this data is related in some way and therefore must be updated consistently. Using transactions, a database management system can ensure that all related data is updated in a consistent fashion. Furthermore, transactions allow multiple users of the system to update data concurrently without colliding. There is a lot more to know about transactions, so we ll discuss them in more detail in chapter 8. Performance Relational databases help us achieve a greater level of performance that is not easily made possible using flat files. That said, database performance is not free and it can take a great deal of time and expertise to get it right. Database performance can be broken into three key factors: design, software tuning, and hardware.
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