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To realize the full potential of a report-enabled application, developers must meet the users demands, which typically consist of quality of service, quality of content, and efficient access to the application s resources. So far, this book has shown you how applications integrated with RS can meet the first two objectives. Let s discuss in this chapter how we can ensure that our reporting solutions also perform and scale well to meet increased user loads. To ensure that these objectives are met, you need to learn how to evaluate the application s performance and capacity before going live in a production environment. The specific areas that are the focus of this chapter are as follows: Explaining the capacity planning process Establishing a performance goal Stress-testing the Report Server Identifying performance bottlenecks Optimizing the application s performance

MainForm newChild = new MainForm(); newChild.MdiParent = this; newChild.Show();

Notice that a synthetic identifier mapping may specify an unsaved-value, allowing NHibernate to determine whether an instance is a detached instance or a new transient instance. Hence, the following code snippet may be used to create a new persistent user:

if ((e.State & DrawItemState.Selected) == DrawItemState.Selected) { _textBrush.Color = SystemColors.Highlight; g.FillRectangle(_textBrush, textRect); _textBrush.Color = SystemColors.HighlightText; }

Fetching associations In HQL, you can specify that an association should be eagerly fetched by an outer join using the fetch keyword in the from clause:

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Let s see a practical example that uses the ReportViewer control. Using ReportViewer The ReportViewerDemo.aspx page builds upon the ReportPicker example we saw earlier, but now it uses the ReportViewer control, as shown in figure 11.13. Once the user picks a report, specifies the export format, and clicks the Run Report link, the page posts back to itself. Then, on the server side, we set the ReportViewer.ReportPath property to the selected report and the Format property to the desired export format. Once the page is rendered, the report will be displayed in the generated IFRAME. The most important point about ReportViewer is that the report is requested by URL on the client side of the application. Therefore, in our opinion, the ReportViewer control will be a good fit for intranet-based applications or Internet-oriented applications that are configured for custom security. As we stressed on numerous occasions, URL access should be your preferred choice because of the advantages that we discussed in detail in chapter 9. In such an environment, the ReportViewer hybrid design allows developers to have the best of both worlds: Server-side control configuration For example, the application can configure the control on the server side in an object-oriented way and shield the developer from the URL syntax technicalities. Client-side URL-based report generation with all the advantages it has to offer.

Open the Learn C Projects folder, go inside the folder 10.01 - printFile, and open and run the project printFile.xcodeproj. Compare your output with the console window shown in Figure 10-1. They should be the same.

Before checking out how to create this XML using XML literals let s first do so using functional construction. The VB code to construct the XML using functional construction is shown in listing 9.18.

A quick look at this report reveals the following: Even with one connection, the average CPU utilization of 75 percent is above the targeted threshold of 70 percent The memory is not a constraint The processor time spent on carrying out SQL Server activities (not shown in figure 1610) is low; therefore, the database is not a constraint, either As we expected, due to the processor-intensive report-generation activities, CPU utilization is a major resource constraint Analyzing the results from the successive runs reveals that the CPU utilization reaches 85 percent when the throughput graph peaks at five concurrent users Therefore, we need to continue our study by finding ways to eliminate this performance bottleneck 162.

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