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What is iBATIS
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Second, iBATIS has features that allow it to effectively work with very large data sets. iBATIS supports features like row handlers that allow batch processing of very large record sets, one record at a time. It also supports fetching a range of results, allowing you to fetch only the data absolutely necessary for your immediate needs. If you have 10,000 records and only want records 500 to 600, then you can easily fetch just those records. iBATIS supports driver hints that allow it to perform such operations very efficiently. Finally, iBATIS allows you to map your objects to the database in multiple ways. It s pretty rare that an enterprise system functions only in a single mode. Many enterprise-class systems need to perform transactional functions throughout the day and perform batch functions during the night. iBATIS allows you to have the same class mapped in multiple ways to ensure that each function is supported in the most efficient way possible. iBATIS also supports multiple fetch strategies. That is, you can choose to have some data loaded lazily, while other complex object graphs are loaded with a single SQL join to avoid serious performance problems. This sounds a lot like a sales pitch. So while we re in the mood, why don t we go into some reasons why you want to use iBATIS We ll do exactly that in section 2.5. To be fair, a little later in section 2.5 we ll discuss some times when you may not want to use iBATIS.
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2.3 Why use iBATIS
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There are a great many reasons to use iBATIS in nearly any system. As you learned earlier in this chapter, a framework like iBATIS offers opportunities to inject architectural benefits into your application. Here we ll discuss these benefits and the features that make them possible.
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2.3.1 Simplicity
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iBATIS is widely regarded as being one of the simplest persistence frameworks available today. Simplicity is at the heart of the design goals of the iBATIS team, and it takes priority over nearly everything else. This simplicity is achieved by maintaining a very solid foundation upon which iBATIS is built: JDBC and SQL. iBATIS is easy for Java developers because it works like JDBC, only with much less code. Almost everything you knew about JDBC applies to iBATIS as well. You can almost think of iBATIS as JDBC code described in XML format. That said, iBATIS includes a number of other architectural benefits that JDBC does not have, which we ll discuss next. iBATIS is also easy to understand for database administrators
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Why use iBATIS
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and SQL programmers. iBATIS configuration files can be easily understood by nearly anyone with any SQL programming experience.
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2.3.2 Productivity
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The primary purpose of any good framework is to make the developer more productive. Generally a framework exists to take care of common tasks, reduce boilerplate code, and solve complex architectural challenges. iBATIS succeeds in making developers more productive. In one case study presented at a Java Users Group in Italy (www.jugsardegna.org/vqwiki/jsp/Wiki IBatisCaseStudy), Fabrizio Gianneschi found that iBATIS reduced the amount of code in the persistence layer by a significant 62 percent. This savings was primarily due to the fact that no JDBC code had to be written. The SQL was still handcoded, but as you saw earlier in this chapter, the SQL is not the problem it s the JDBC API, and ADO.NET is no different.
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2.3.3 Performance
The topic of performance will spark debate among framework authors, users, and even commercial software vendors. The fact is, at a low level all frameworks incur some sort of overhead. Generally, if you compare handcoded JDBC to iBATIS and iterate it 1,000,000 times in a for loop, you ll likely see a performance hit in favor of JDBC. Fortunately, this is not the kind of performance that matters in modern application development. What is much more significant is how you fetch data from the database, when you fetch it, and how often. For example, using a paginated list of data that dynamically fetches records from the database can significantly increase the performance of the application because you aren t unnecessarily loading potentially thousands of records from the database at once. Similarly, using features like lazy loading will avoid loading data that isn t necessarily used in a given use case. On the other hand, if you know for certain that you have to load a complex object graph that involves a large amount of data from a number of tables, loading it using a single SQL statement will improve performance greatly. iBATIS supports a number of performance optimizations that we ll discuss in more detail later. For now, it is important to know that iBATIS can usually be configured and used in such a way that is simple, yet it performs as well as JDBC, or possibly better. Another important consideration is that not all JDBC code is well written. JDBC is a complex API that requires a lot of care to code correctly. Unfortunately, much JDBC code is poorly written and therefore will not even perform as well as iBATIS at a low level.
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