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Note I recommend registering and logging in to Meetup before you browse groups because if you don t, and you register on a group page, the result may be confusing. When you get your confirmation e-mail, Meetup may not return you to that group page you have to find it again. You may find it easier to register for Meetup and then go exploring.

The previous example, although somewhat trivial in problem solving, hopefully exposed you a bit to the power of using Seam over traditional Struts applications. In the following example, we will still be using our restaurant, but this time we are going to save the

machine other than the one on which GlassFish is installed. If you changed the port number during installation, use that port instead of 8080.

When you ve successfully joined a Meetup group, you get a confirmation message like the one shown in Figure 15-21.

The next step is to test the access to the administration console. In the browser, type in the URL http://localhost:4848/, and you will be able to see the administration console login page, as shown in Figure 1-10.

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restaurant s name. So you will first have to find the restaurant, and then the user can save it back to the page. This is drawn out for you in Figure 2-2.

Note Substitute localhost with the machine name or IP address if you are trying to gain access from a

Figure 15-21. Confirmation message when you join a group If you like, you can fill in some introductory information and adjust your settings (see Figure 15-22). To bypass this window, click Save but there are good reasons to look through it.

Just as before, the user makes a request to the server to find the best restaurant, which is a retrieval process. Now the user can also input data and send it back to the server to save a new restaurant. Listing 2-4 shows the Struts version of this code.

machine other than the one on which GlassFish is installed. If you changed the port number during installation, use that port instead of 4848.

Figure 15-22. Your group profile The Introduce yourself field is a nice way to say hello (so much easier than speaking in a room in front of people!), as shown in Figure 15-23.

public class ChangeRestaurantStrutsAction extends Action { // Business Service LookupRestaurant lookup; public ActionForward execute(ActionMapping mapping, ActionForm form, HttpServletRequest request, HttpServletResponse response) { DynaActionForm dynaForm = (DynaActionForm) form; boolean save = ((Boolean) dynaForm.get("save")).booleanValue(); if (save) { String newBest = (String) dynaForm.get("newBestRestaurant"); String zipCode = (String) dynaForm.get("zipCode"); lookup.saveNewBestRestaurant(newBest, zipCode); return mapping.findForward("completePage"); } else { String bestRestaurant = lookup.findBestRestaurant((String) dynaForm.get("zipCode")); request.setAttribute("bestRestaurant", bestRestaurant); return mapping.findForward("success"); } } }

these tests. Finally, we carry out a performance test to illustrate the methodology and the usage of the tools. The methodology and toolkit are useful in two basic situations: Performance testing a complete application Designing for performance (examining the performance costs of various aspects of the Java EE API and how certain design decisions will impact overall performance) In the first scenario, we treat the application like a black box. We test the application under various user loads and investigate the performance of every request made by the users. The data is analyzed requests that don t meet the required criteria are looked for, and opportunities for improving performance are identified. While the aforementioned is useful, our advice is to performance test as early in the development cycle as possible. This way, you can use the methodology and the data you obtain from it to help you design for performance, rather than performance testing after the fact. The example presented in this chapter focuses on designing for performance, rather than testing a complete application. If you are interested in learning more about the methodology of testing an application and performance testing in general, you can refer to J2EE Performance Testing with BEA WebLogic Server, by Peter Zadrozny (Apress, 2003). In this chapter, we present an adaptation of the methodology presented in the aforementioned book, which is narrowly focused on the example at hand.

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