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3.5.3 Reducing the complexity
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While JDBC is a very powerful tool, it is also a very low-level API. To help better understand where iBATIS fits in your application, let s draw an analogy. Years ago, to create a web application with Java, you would have to start at the HTTP level, and write an application that listened to a port and responded to requests. After a few years of this, Sun provided us with a Servlet specification that we could use as a starting point so that we would not have to do this sort of socketand port-level development. Not long after that came the Struts framework, which took web development with Java to the next level. Most Java developers today would never seriously consider writing a web-based application starting at the HTTP protocol or even with straight Servlets instead they would get a Servlet container like Tomcat and use it with the Struts framework (or something similar like Spring or WebWork). To draw a parallel to persistence, when Java 1.0 came out, there was no JDBC specification. Developers doing database work had to figure out how to talk directly to the database via its native network protocols. With the release of version 1.1 of Java, JDBC entered the picture, and we were given a starting point for working with databases instead of having to work with sockets and ports. The iBATIS framework is to database development what Struts is to HTTP. Although you could write applications by opening a port to the database server or using straight JDBC, it is much simpler to write your application using a tool like iBATIS and letting it deal with Connection, Statement, and ResultSet objects instead of mixing them into your business logic. Just as Struts does, iBATIS provides you with an abstraction to suppress a great deal of complexity that comes along with the lower-level components that it uses. It does not completely remove them from your application, but it lets you avoid dealing with them until you need to.
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Installing and configuring iBATIS
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As an example of the complexity that iBATIS takes care of for you, let s look at the pattern for properly allocating and ensuring the release of a JDBC connection:
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Connection connection = null; try { connection = dataSource.getConnection(); if (null == connection){ // kaboom } else { useConnection(connection); } } catch (SQLException e) { // kaboom }finally{ if (null != connection) { try { connection.close(); } catch (SQLException e) { // kaboom } } }
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That is almost 20 lines of code to simply get a Connection object, use it, and then close it properly. Beyond that, the same pattern is required for safely working with Statement and ResultSet objects. When you consider what is required to implement many of the features using plain JDBC that iBATIS handles for you such as getting a connection to the database, parameter and result mapping, lazy loading, and caching it becomes clear that it would take a great deal of careful coding. Luckily, iBATIS is a lot easier to configure and work with, as you ll see in the remainder of this and the next few chapters.
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3.6 iBATIS configuration continued
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In chapter 2, we looked very briefly at how to configure iBATIS (so briefly, in fact, that if you haven t read that section, don t worry about it). In this section, we build on that basic configuration by creating the SQL Map configuration file. This file is the brain of iBATIS, as shown in figure 3.1. In this figure, we have the SqlMapConfig file at the top, which is where we define global configuration options, and also reference the individual SqlMaps themselves. The SqlMaps in turn define the mapped statements that will be used in conjunction with input that your application provides to interact with the database. Let s take a closer look at how you d use this configuration file.
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