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SQL Server contains a number of special indexes to support speci c use cases. Full-text indexes support document storage, querying, and retrieval. XML indexes are used to support XQuery operations on XML data stored in the database. Spatial indexes, added in SQL Server 2008, support queries over spatial data. These indexes are usually better suited for their speci c domain than a B+ tree index, but they are often speci c to a particular set of use cases. While the Query Optimizer contains support for each of these, they are not conceptually different from B+ tree indexes.

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9. At this point, all of the information for configuration of the endpoints and security has been defined. The Complete The Wizard screen gives an overview of all of the various data input (not shown). Click the Finish button. 10. If everything is set up correctly and the services can communicate properly, SQL Server establishes the endpoints on both the principal and mirror servers, as seen in Figure 27-25.

You might need to move system databases as part of a planned relocation or scheduled maintenance operation. If you move a system database and later rebuild the master database, you must move the system database again because the rebuild operation installs all system databases to their default location. The steps for moving tempdb, model, and msdb are slightly different than for moving the master database.

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Click DateList in the Dataset list box to view the MDX query used for the list of available values for the report parameter. The DateList query looks like this:

Writes a new partition boot sector to the boot partition. This can be used to fix a corrupt boot sector.

Figure 13.2 Results for Using Normally Distributed User Delays If you perform the same activity with the ruler, you will see that the dots are more evenly distributed this time, which dramatically increases both the realism of the simulated load and the accuracy of the performance test results.

} 21. Press F5 to run the application. The result is shown here:

An Analysis Services measure group appears to contain every possible summarized value by every attribute contained in every dimension in the measure group . In this chapter, you will be working with a simplified cube that contains only Product, Date, and Employee dimensions and Reseller Sales and Internet Sales measure groups . You can query the Reseller Sales measure group at the lowest level of detail and find out, for example, that Amy Alberts sold six units of Product ID BK-M47B-40 on August 1, 2009, for $3,888 . You can also query the cube at a higher level of detail to discover that 58,241 products were sold in calendar year (CY) 2009 for $24,144,430 . No matter what level of detail you request, Analysis Services returns values as if every level of detail is stored in the measure group . Even very simple measure groups such as the one used for the step-by-step procedures in this chapter have the potential to become very large . The source database, SSAS2008SBS, contains 606 different products, 290 employees, and 1,279 dates . This means that there could potentially be 606 290 1,279 = 224,771,460 detail rows in the FactResellerSales table, one

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