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The iBATIS philosophy
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that. With iBATIS, you don t necessarily have to map every table to a user-defined class. iBATIS allows you to map relational data to primitives, maps, XML, and userdefined classes (e.g., JavaBeans). This great flexibility makes iBATIS extremely effective for complex data models, including skinny data models.
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iBATIS was designed as a hybrid solution that does not attempt to solve every problem, but instead solves the most important problems. iBATIS borrows from the various other methods of access. Like a stored procedure, every iBATIS statement has a signature that gives it a name and defines its inputs and outputs (encapsulation). Similar to inline SQL, iBATIS allows the SQL to be written in the way it was supposed to be, and to use language variables directly for parameters and results. Like Dynamic SQL, iBATIS provides a means of modifying the SQL at runtime. Such queries can be dynamically built to reflect a user request. From object/relational mapping tools, iBATIS borrows a number of concepts, including caching, lazy loading, and advanced transaction management. In an application architecture, iBATIS fits in at the persistence layer. iBATIS supports other layers by providing features that allow for easier implementation of requirements at all layers of the application. For example, a web search engine may require paginated lists of search results. iBATIS supports such features by allowing a query to specify an offset (i.e., a starting point) and the number of rows to return. This allows the pagination to operate at a low level, while keeping the database details out of the application. iBATIS works with databases of any size or purpose. It works well for small application databases because it is simple to learn and quick to ramp up. It is excellent for large enterprise applications because it doesn t make any assumptions about the database design, behaviors, or dependencies that might impact how our application uses the database. Even databases that have challenging designs or are perhaps surrounded by political turmoil can easily work with iBATIS. Above all else, iBATIS has been designed to be flexible enough to suit almost any situation while saving you time by eliminating redundant boilerplate code. In this chapter we ve discussed the philosophy and the roots of iBATIS. In the next chapter we ll explain exactly what iBATIS is and how it works.
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What is iBATIS
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This chapter covers
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When to use iBATIS When not to use iBATIS Getting started Future direction
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What is iBATIS
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In the previous chapter we discussed in detail the philosophy behind iBATIS and how the framework came to be. We also stated that iBATIS is a hybrid solution that borrows ideas from various other methods of working with a relational database. So what exactly is iBATIS This chapter will answer that question. iBATIS is what is known as a data mapper. In his book Patterns of Enterprise Application Architecture (Addison-Wesley Professional, 2002), Martin Fowler describes the Data Mapper pattern as follows: A layer of Mappers1 that moves data between objects and a database while keeping them independent of each other and the mapper itself. Martin does a good job of distinguishing between data mapping and metadata mapping, which is where an object/relational mapping tool fits in. Such a tool maps the tables and columns of the database to the classes and fields of the application. That is, an object relational mapper maps database metadata to class metadata. Figure 2.1 shows an object/relational mapping between a class and a database table. In this case, each field of the class is mapped to a single corresponding column in the database. iBATIS is different in that it does not directly tie classes to tables or fields to columns, but instead maps the parameters and results (i.e., the inputs and outputs) of a SQL statement to a class. As you ll discover throughout the rest of the book, iBATIS is an additional layer of indirection between the classes and the tables, allowing it more flexibility in how classes and tables can be mapped, without requiring any changes to the data model or the object model. The layer of indirection we re talking about is in fact SQL. This extra layer of indirection allows iBATIS to do a better job of isolating the database design from the object model. This means relatively few dependencies exist between the two. Figure 2.2 shows how iBATIS maps data using SQL.
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