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When you create your data model, by default, it s configured to use lazy loading. Lazy loading is a data loading technique that works by loading only the information that is needed at any precise moment. This works well most of the time, but when loading data from different tables, it queries all the tables independently whenever is needed. This fact can lead to excessive round trips to the database server, which can saturate the network and eventually reduce performance.

Many auditors require the OnFailure = Shutdown option in the Audit facet to ensure that no events can occur on your server without being captured by an audit. On the downside, if SQL Server cannot write to the audit destination you have defined, the SQL Server service will shut down, and you will be facing an outage. Therefore, you should be very cautious of the location and space allocated for your audit files.

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Finally, in the textbox in the footer, add the following expression for the report execution time: =Globals!ExecutionTime You are now ready to preview your report one last time before you deploy it to your users. This time, let s take a look at the final version in the browser (see Figure 4-38). This is what the report will look like when it has been deployed to the Web server. (We will discuss methods for deploying reports in 6.)

To solve this problem, Telerik OpenAccess ORM uses fetch plans and fetch groups The idea is to instruct OpenAccess on what fields it must load, and it will build the right SQL queries to minimize the impact of query execution This will greatly improve the performance of the application OpenAccess includes some built-in Fetch Plans, so you can start using them right away FetchPlanDefault is the default used in most scenarios FetchPlanAll will retrieve all the fields of the object including referenced objects, up to one level deep FetchPlanDefaultLimit sets the number of objects that can be retrieved in one fetch operation and this is the initial value of the Limit property FetchPlanDefaultMaxDepth sets the default maximum tree depth that is fetched together, with a default value set to 3 FetchPlanNoLimit sets no restriction on the number of objects that can be fetched together.

The FetchPlanLimit property defines the maximum number of objects that can be fetched together The FetchPlanMaxDepth property helps in controlling the amount of data retrieved from the database; this property defines the maximum tree depth that is fetched together Listing 15-17 shows a simple RadGrid that will show information from the products table Telerik OpenAccess ORM already created the classes for it, and if you look closely at the definition of the Product class, you will see that, because of its definition in the database, it has a property called CategoryID This property is an integer, but because this column is defined as a foreign key related to the categories table, it also has a property named Category The Category property is of the Category class, which in turn maps to the categories table.

Summary

By default, when SQL Server is installed, it is configured to record only failed login attempts. Tracking failed login attempts allows you to identify unwanted login activity, but doesn t provide any information if the login is successful. But bad things usually happen on a server when people can log in, right If you change the login auditing option to record both successful and failed logins, you can correlate actions on the server to successful logins. To configure login auditing for SQL Server, right-click the instance name and select Properties from the context menu. In the Server Properties dialog box, select the Security page, and change the Login Auditing value from Failed Logins Only to Both Failed and Successful Logins, as shown in Figure 9-7. You can use the LoginAuditLevel property in the Server Audit facet to ensure that both successful and failed logins are being recorded on your servers.

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