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Scaling up Sometimes, there may not be much you can do to improve the web server s performance. If this is the case, you can scale Reporting Services up (vertical scalability) and out (horizontal scalability). NOTE By the time you read this book, the Microsoft RS team will probably have released a white paper about RS performance and scalability. The white paper will include performance tests comparing scaling up and out approaches. The document is meant to help customers understand the scalability characteristics of RS and determine hardware and software requirements needed to support planned deployments. You scale RS up by beefing up your server hardware, that is, by adding memory or CPU power. The memory capacity recommended by Microsoft for a production report server is 4GB of RAM. When scaling up by adding more processors, note that you shouldn t expect linear scalability. For example, adding a second CPU may result in a 60 percent increase in performance, while adding a third CPU, only 30 percent more. When scaling up becomes counterproductive, you can scale out RS by deploying it in a web farm environment. 590

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Beginning Web Part Development In fact, however, not all this code is likely to appear together in one block. The second and fourth statements must appear within the CreateChildControls method, as shown below:

protected override void CreateChildControls () { prgMsg = new HtmlGenericControl("p"); Controls.Add(prgMsg); }

You can then access the fields from any page in the application as a regular variable:

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Scaling out You scale out RS by distributing the processing load across multiple report servers. Scaling out offers the following advantages: Allows you to incrementally add (or remove) resources as needed Makes it possible to balance heavy workloads across multiple servers configured in a web farm environment Offers fault tolerance because even if one of the clustered servers fails, the rest of the cluster is unaffected Figure 16.12 depicts a typical scale-out scenario where the Report Server is deployed in a web farm environment. Scaling out works well because it results in almost linear scalability to the point where another resource is pushed past its limits, such as database, memory, or network utilization. In general, even if only one web server meets your performance objectives, we suggest that you pair it with a second server for fault-tolerance reasons. The Reporting Services Enterprise and Developer editions support scaling out. When you scale out RS, multiple report servers share a single Report Server database (or a cluster of Report Server databases). When the RS Setup program detects that the Report Server database already exists, it assumes a web farm deployment and doesn t create the Report Server database. For more information about setting up RS, please read appendix A. For more information about configuring RS in a clustered web farm environment, read the SQL Server 2000 Reporting Services Deployment Guide document and the Installing Reporting Services section of the RS product documentation (see section 16.4).

Private Sub Page_Load(ByVal sender As Object, ByVal e As EventArgs) _ Handles MyBase.Load PageViewCount += 1 Increment page view counter. End Sub

HtmlGenericControl prgMsg; public void MsgLoad(object sender, EventArgs e) { string strMsg; strMsg = "Help! I'm a prisoner in a Web Part!"; EnsureChildControls(); prgMsg.InnerText = strMsg; } protected override void CreateChildControls () { prgMsg = new HtmlGenericControl("p"); prgMsg.Load += new EventHandler(MsgLoad); Controls.Add(prgMsg); }

prgMsg object. This means that the MsgLoad method on line 3 will run as soon as the prgMsg object finishes loading.

In other words, you created an application-wide variable, akin to the items in the Application object. Why should you use these module variables instead of a standard application variable Well, the answer is simple: performance. In fact, these variables don t require a lookup in the application collection of variables and, just as important, they re strongly typed, so you don t need to convert their contents as you do with application variables (or unbox the contents of a variable if it s a value type). An inforZ mal benchmark shows that incrementing the PageViewCount variable is about 500 times faster than the following statement:

Figure 16.12 A typical enterprise deployment model using a cluster of Report Servers and clustered Report Server databases

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