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Antipattern: A Sledgehammer for a Fly
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Loggers must manage resources efficiently. Because deployments typically have fewer application servers than clients, memory-intensive resources such as database connections can sometimes be pooled more effectively in systems that access the resources exclusively from the application server tier.
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As we said, if you looked at only these criteria, EJB would seem the obvious choice. This EJB application is a potential solution. EJB best practices indicate that you should perform all client access through session beans, not entity beans, and that you should use EJB 2 container-managed persistence (CMP) entity beans to store data in a database. So, we will define a session bean fa ade with a single method: logMessage (int severity, String message). This fa ade will then create a CMP entity bean through that bean s local interface and set the log severity and message. That s it. As we examine the implementation in table 2.1, we quickly see we are holding a sledgehammer. This simple task requires that we author as many as ten (yes, ten) files, including two configuration files and a simple test class. The existence of the configuration files and the complexity is dependent on your application server; our test class represents what the application code in a servlet, a Swing GUI, or another client environment would have to incorporate to interact with this logging component if no extra levels of abstraction were put in place. We chose to use WebLogic as our application server, but most other application servers have similar configuration requirements. You could simplify this test application by putting a generic interface in front of our session bean, but the purpose of this discussion is to analyze the complexity involved in an inappropriate use of EJB, not to demonstrate ways to hide that complexity. Additionally, bear in mind that adding such an interface would add at least one file to our picture, making the EJB solution even larger. With these goals in mind, take a look at the breakdown of the example Logging EJB in table 2.1.
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The bitter cost
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Table 2.1 This file listing for session bean fa ade logging implementation shows the complexity of a simple logging component. The line count provides a pretty good handle of the potential complexity and drudgery that we re dealing with in the EJB arena. Classification Entity bean File name LogEntry.java LogEntryBean.java LogEntryHome.java Session bean Logger.java LoggerBean.java LoggerHome.java Sample client code Deployment descriptor Vendor-specific deployment configuration TestLogger.java ejb-jar.xml weblogic-cmp-rdbms-jar.xml weblogic-ejb-jar.xml 8 48 13 10 54 9 58 55 26 28 File line count
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2.2.1 Adding complexity
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It seems as if you ve authored a lot of code for what should have been a pretty simple problem and solution. Maybe using EJB for our logging framework is not such a good idea after all. Let s look at what the EJB specification gives us:
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Declarative transactions Typically, transactional integrity is not a big concern when it comes to a logging framework. An application developer generally does not care if some messages are recorded and others are not. In fact, the opposite is usually true. An application developer expects each log attempt to succeed independently of any other log invocations. So, the EJB semantics for declarative control of transactions is not of much value. It is often desirable for a single log message to be logged in an atomic fashion, but this is a different concern than the transactional behavior of multiple logging statements. Distributed transactions Because transactions are not typically important in logging frameworks, distributed transactions (transactions involving multiple transactional resources) are even less important. For example, you don t want to roll back log messages when a database insert fails. If you re not going to use transactional features in the first place, then you are certainly not going to integrate with another transactional resource.
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