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In our experience, many performance issues in Java EE applications come down to inefficient use of the persistence layer. If you are using some kind of ORM tool, make sure you fully understand the implications of its lazy loading capabilities. Apart from ineffective implementation of the data access tier, the most problematic area in enterprise applications is inefficient use of transactions, which is usually closely related to lazy loading issues in the data access tier. The next area of performance problems is an inefficient remoting infrastructure, where the overhead of the remote call can sometimes be greater than the time it takes for the invoked call to complete. A Spring-specific problem area is Spring AOP: if you find that dynamic advices are the root cause of performance problems and you are not using Spring-specific bean pointcuts, you should consider using load-time weaving or reimplementing the aspects in AspectJ and using compile-time weaving. Finally, web view rendering can take a considerable amount of time to complete, especially when you are using XSLT transformations to produce the HTML views.

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Packages matching Tags:"GS1-128" - NuGet Gallery
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Before we can begin tuning our application, we must know what to tune. This is the most important aspect of performance tuning: if you do not find out which specific areas of your application s code need improvement, you may spend a lot of time improving code that does not contribute significantly to the performance problem.

Instead of having complete integration between the disciplines and the tools they use, we have had point-to-point integration for example, we could have a development tool slightly integrated with the testing tool (or probably the other way around). Each tool uses its own data repository, so traceability and reporting is hard to handle in such an environment as well (see Figure 2-10).

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To tune a complex application, we first need to identify the areas of code that need tuning. To do this, you can use existing Java EE performance measurement tools. We have successfully used YourKit Java Profiler (http://yourkit.com/overview/index.jsp) and Quest JProbe (http://www.quest.com/ jprobe/) to collect statistics about our applications. We will use YourKit Java Profiler to measure the performance of the code in this chapter. We will start with the application whose data model is shown in Figure 22-1 to demonstrate some of the techniques we can use to measure and then improve the application s performance.

Figure 8-1. The setup script in SQLCMD mode. Specify your Central Management Server and your Management Data Warehouse database in the script.

Figure 22-1. Data model of the sample application The application is using Hibernate in its data tier; the data tier maps the rows from the tables to the appropriate domain objects. The services tier simply uses the data access tier and is responsible for managing transactions. Finally, we have a small stand-alone application that uses the services tier and displays the results. Figure 22-2 shows the main classes in the sample application.

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Figure 2-10. ALM 1.0 This point-to-point integration makes the ALM process fragile and quite expensive as well. Just imagine what happens when one tool is updated or replaced. Suddenly, the integration might break and new solutions have to be found to get it working again. This scenario can be reality if, for example, old functions in the updated or replaced tool are obsolete and the new one does not support backward compatibility. This can be hard to solve even with integration between just two tools. Imagine what happens if we have a more complex situation, including several more tools. I have seen projects using six or seven tools during development, and having so many tools has been a fragile solution when new versions have been released. The tools have also been centered on one discipline. In real life, a project member working as a developer, for instance, quite often also acts as an architect or tester. Because the people in each of these disciplines have their own tools (or sets of tools), the project member must use several tools and switch between them. It could also be that the task system is separated from the rest of the tools, so to start working on a task, a developer must first retrieve the task from the task system probably print it out, or copy and paste it, open the requirements

Figure 22-2. Class diagram of the sample application Our task is to improve the application s performance. We will identify which areas are causing the most significant performance problems and refactor the code to improve the application s speed and responsiveness. Listing 22-1 shows the source code of a small command line interface (CLI) application that can select one invoice or search for invoices by supplier name. Listing 22-1. Command Line Interface Sample Application public class CliDemo { private static final Pattern I_PATTERN = Pattern.compile("i\\W+(\\d+)"); private static final Pattern S_PATTERN = Pattern.compile("s\\W+(\\d+-\\d+\\W+) (.+)"); private InvoiceService invoiceService; private void findById(String line) { Matcher matcher; matcher = I_PATTERN.matcher(line); if (!matcher.matches()) return; System.out.println( this.invoiceService.findById(Long.valueOf(matcher.group(1)))); } private void findBySupplierName(String line) { Matcher matcher = S_PATTERN.matcher(line); if (!matcher.matches()) return;

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