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A view can contain columns from one or more tables SQL Server does not store the result set of a standard or nonindexed view permanently in the database Every time a query references a standard view, SQL Server 2005 substitutes the definition of the view into the query until a modified query is formed that references only the standard view s base tables The modified query then runs in the normal way Views are also known as virtual tables because the result set returned by the view has the same general form as a table with columns and rows, and you can reference views in the same way as tables in SQL statements The overhead of dynamically building the result set for each query that references a standard view can be significant.

2. Verify that the Database Snapshot is created correctly by executing the following code:

In cases where you are not able to modify Transact-SQL directly, you can still improve query performance using a plan guide. The plan guide is used to override the execution plan automatically generated by the query optimizer. As long as the execution plan you come up with returns the same results and performs better than the original query, this is a good way to affect performance without altering the code.

FROM HumanResources.Department;

It might not be necessary to replace all the cursors in this poorly performing application. The best place to start is by identifying those areas of the application that are experiencing the largest delays. You could use SQL Server Profiler to record a trace while the application executes some of the slower functions. The trace recording can be used as input for the Database Engine Tuning Advisor, as an alternative to replacing the cursor. You might be able to resolve the application problems by simply applying a few indexes. If the application performance continues to suffer, then you should consider replacing some of the cursors with set-based alternatives. You would start by identifying those cursors that take the longest to execute. For these long-running stored procedures, try to find a way to replace the cursor with one of the alternatives mentioned in Lesson 2, Designing a Cursor Strategy. Compare the execution times for the alternative with the original cursor to determine

You must set all databases that participate in Database Mirroring to the Full recovery model to ensure that all transactions are applied to the mirror. You then must initialize the mirror by restoring a backup, ensuring that the NORECOVERY option is specified. Because Database Mirroring is responsible only for copying the contents of a database to the server hosting the mirror database, you must separately copy over all other server objects, such as logins, linked servers, and jobs.

If you frequently reference such views in queries, you can improve performance by creating a unique clustered index on the view When you create a unique clustered index on a view, SQL Server stores the result set as a separate object within the database This improves performance because SQL Server does not have to retrieve the view s result set each time a query references this view Another benefit of creating an index on a view is that the query optimizer starts using the view index in queries that do not directly name the view in the FROM clause As users make modifications to the data in the base tables, SQL Server also updates the data stored in the indexed view.

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if the change was successful. You might just have to do this procedure with a few of the cursors to achieve the desired performance results. There is a tradeoff to consider between development time and application performance.

You can use the following questions to test your knowledge of information in Lesson 2, Initializing Database Mirroring. The questions are also available on the companion CD if you prefer to review them in electronic form.

The data-mining features available with SQL Servers Analysis Services (SSAS) enable you to locate trends in large sets of data for the purpose of making predictions. You could utilize SSAS to create a data-mining solution that processed the sales history data and predicted what products the customer would likely purchase. In order to keep the recommendations up-to-date, and based on the latest sales data, the datamining solution would need to be automated so that it was re-processed on a nightly or even hourly basis. Analysis Management Objects (AMO) could be used to accomplish this task. Not only could you develop code that automated the processing of the mining model, but this code could be added to your ASP.NET application to query the mining model for predictions. These predictions would then be presented to the customer as customized product recommendations.

Answers to these questions and explanations of why each answer choice is right or wrong are located in the Answers section at the end of the book.