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In this section, we hope to cover all the things you may encounter when you have to deal with an existing legacy database or (and this is often synonymous) a weird or broken schema. If your development process is top-down, however, you may want to skip this section. Furthermore, we recommend that you first read all chapters about class, collection, and association mappings before you attempt to reverse-engineer a complex legacy schema. We have to warn you: When your application inherits an existing legacy database schema, you should usually make as few changes to the existing schema as possible. Every change that you make to the schema could break other existing applications that access the database. Possibly expensive migration of existing data is also something you need to evaluate. In general, it isn t possible to build a new application and make no changes to the existing data model a new application usually means additional business requirements that naturally require evolution of the database schema. We ll therefore consider two types of problems: problems that relate to the changing business requirements (which generally can t be solved without schema changes) and problems that relate only to how you wish to represent the same business problem in your new application (these can usually, but not always, be solved without database schema changes). It should be clear that the first kind of problem is usually visible by looking at just the logical data model. The second

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To configure an alert, follow these steps: 1. In the Performance console, expand Performance Logs And Alerts. 2. Right-click the Alerts folder, and select New Alert Settings. 3. Enter a name for the alert, and click OK. 4. On the General tab, add the counter or counters and the alert value. 5. On the Action tab, configure the action or actions to be performed when an alert is triggered. 6. On the Schedule tab, configure the start and stop times for when the alert should be scanned. You can turn scanning on and off manually or configure scanning to occur on a schedule. 7. Click OK to create the alert.

more often relates to the implementation of the logical data model as a physical database schema. If you accept this observation, you ll see that the kinds of problems that require schema changes are those that necessitate addition of new entities, refactoring of existing entities, addition of new attributes to existing entities, and modification to the associations between entities. The problems that can be solved without schema changes usually involve inconvenient table or column definitions for a particular entity. In this section, we ll concentrate on these kinds of problems. We assume that you ve tried to reverse-engineer your existing schema with the Hibernate toolset, as described in chapter 2, section 2.3, Reverse engineering a legacy database. The concepts and solutions discussed in the following sections assume that you have basic object/relational mapping in place and that you need to make additional changes to get it working. Alternatively, you can try to write the mapping completely by hand without the reverse-engineering tools. Let s start with the most obvious problem: legacy primary keys.

When you are ready to begin monitoring the resources on your computer, the first thing you need to do is establish a baseline. A baseline is a measurement derived from collecting data over an extended period of time. The data should reflect typical types of workloads and user connections but should also include any unusual activity that might occur. The baseline represents resource usage under normal conditions. After you collect data on performance over an extended period of time, with data reflecting periods of low, average, and high usage, you can determine what is acceptable performance for your computer, and that determination becomes your baseline. You use the baseline to determine when bottlenecks are developing or to watch for changes in usage patterns. Determining bottlenecks will help you in troubleshooting problems that might arise. Watching for changes in usage patterns will help you plan for the future.

At this point, you should watch the multimedia presentation Creating a Performance Baseline included in the Multimedia folder on the CD accompanying this book.

class="org.jboss.resource.adapter.jdbc.local.LocalTxDataSource"> <property name="jndiName">java:/HelloWorldDS</property> <!-- HSQLDB --> <property name="driverClass"> org.hsqldb.jdbcDriver </property> <property name="connectionURL"> jdbc:hsqldb:hsql://localhost </property> <property name="userName">sa</property> <property <property <property <property name="minSize">0</property> name="maxSize">10</property> name="blockingTimeout">1000</property> name="idleTimeout">100000</property>

Deviations from your baseline are good indicators of performance problems. A bottleneck exists if a particular component s limitation is slowing the entire system performance. Even if one component in your computer is heavily used, if the other components or the system as a whole are not slowed down, there is no bottleneck.