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Figure 15-27. Click Profile or Account to go back to your profile page. Just as with other social networks, there s a lot you can add but you don t have to. It s all up to you. Strictly speaking, you don t even have to upload a picture and you certainly don t have to use your own picture (see Figure 15-28).

So now that we have covered two basic examples of retrieving and saving data, we are going to go on to another common type of code for logging in. Now there are lots of different ways to log in to a website and many authentication models to use. In fact, 8 covers some Seam-specific ways of logging in. For this example, however, we are going to stick to a very basic authentication process: you attempt to log in with a username and password; if you are verified, your username will be saved to the session. The HttpSession object is a common object for saving login data because it will persist the entire time that you are active on the site. When you read this, do not get too worked up about this login model, but look at it as a way of saving session-related data. Figure 2-3 shows an activity diagram of what we are going to do. This is a simple one-request run the user either correctly inputs the username and password and continues, or is rejected to a failure page. Listing 2-6 provides the Struts version of this code.

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As we increase the number of shoppers beyond this point, we reach a point at which crowding in the aisles causes reduced shopper mobility (longer response times) and, ultimately, an actual drop in throughput..

Figure 15-28. You don t have to use your own picture in your profile!

Similar to ART, our base measurement of analysis is the arithmetic mean of the requests per second for all users of a particular request. We call this TPS. For the purposes of analyzing performance data, and independently of the definition of throughput used for a specific performance test, we use the concept of total transactional rate (TTR). TTR is the addition of the TPS measurements of each request in a test script. TTR provides us with an excellent indicator of system capacity. Figure 9-2 shows a typical TTR curve, which reaches the point of saturation at about 100 users. At that point, it starts dropping (due to, e.g., too many shoppers).

public class LoginStrutsAction extends Action { // Business Service LoginService service; public ActionForward execute(ActionMapping mapping, ActionForm form, HttpServletRequest request, HttpServletResponse response) { DynaActionForm dynaForm = (DynaActionForm) form; // get the variables String username = (String) dynaForm.get("username"); String password = (String) dynaForm.get("password"); // get boolean successful = service.login(username, password);

Meetup has a good Help section. Look for the Help link in the upper-right corner of the screen, as shown in Figure 15-29.

The AART curve presented in Figure 9-1 is the result of data collected from the same test run as the TTR curve presented in Figure 9-2. If you review the AART curve, you can see that the response time increases in a linear fashion until it reaches 100 users. After that, the increase is more dramatic. This coincides with the TTR curve, in which the saturation point is reached at 100 users. After that, the performance of the application in general degrades. Analyzing these two curves, you can state that the application has an upper limit of 100 users under the conditions of the performance test.

if (successful) { request.getSession().setAttribute("loggedIn", username); return mapping.findForward("success"); } else { return mapping.findForward("failed"); } } }

Figure 15-29. The Help link is in the upper-right corner. There s a good section called New to Meetup, along with other links that are worth exploring to help you get acquainted (see Figure 15-30).

The objective of this section of the methodology is to ensure that we are collecting our performance data in test conditions that mimic reality as closely as possible. This applies more so when performance testing whole applications, and less so when designing for performance.

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