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It is not sufficient to simply configure your system to meet the space requirements. As you have seen throughout this chapter, how you configure the I/O subsystem can significantly enhance or severely degrade the performance of your system. However, determining the performance requirements of your I/O subsystem is not nearly as easy as determining the space requirements. The best way to determine performance requirements is to look at a similar application or system. This data can give you a starting point for estimating future requirements. You will learn much more about this in 6. Assuming that you find a similar system, you can then use data gathered from that system and the information earlier in this chapter to determine the number of disk drives required. Remember to take into account the RAID level that will be used on that I/O subsystem. The next steps are planning the SQL Server disk layout and then implementing the solution.

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Planning the layout involves determining where the data will be positioned and then creating SQL scripts to create the database. The advantage of creating databases with SQL scripts, rather than through SQL Server Enterprise Manager, is that you can reuse a script, modifying it if necessary. The script should take into account the number of logical volumes that your system has and the number of physical disks in those volumes. It is important to balance the database so that each disk drive will handle roughly the same number of I/O operations per second. An unbalanced system suffers the performance experienced by the slowest volume. You should make sure that the transaction log and the data files are distributed across the disk drives in a way that supports optimal performance.

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The process of planning where to put the transaction log is fairly simple. Using only one data file for the transaction log is often the best approach. If you must add more log files to the database, be sure to place them on a RAID-1 or RAID-10 volume. Also, be sure to isolate the transaction log from data or other transaction logs.

In the Toolbox window, click Matrix, and then click the left edge of the design grid just below the textbox containing the report title. Your screen looks like this:

Listing 8.6 allows multiple threads to read the file but only one to write. If two threads attempt to open a file for write simultaneously, a System.IO.IOException is raised. This exception will likely be handled by waiting for a period of time and then attempting to open the file again. An alternative is to synchronize access to the file.

The easiest way to configure the I/O subsystem for the data files is to configure each volume with a similar number of similarly sized disk drives. In many cases, you don t need to split the I/O subsystem into multiple volumes. In fact, you might be perfectly happy

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with one logical volume that spans the entire controller. However, you shouldn t use Windows 2003 striping to span multiple controllers because it adds too much overhead. Note

For your data files, span as many disk drives per controller as you can. This allows the controller to distribute the data among multiple disks. Do not use OS striping to span multiple controllers. This incurs too much CPU overhead.

A Mutex is a named synchronization object derived from WaitHandle that allows for creation of mutually exclusive regions of code.

If you use multiple controllers, you should simplify the configuration by using similar striping with the same number of disk drives on each controller. If you can t use the same number of disk drives on each of your controllers, you can use proportional filling to properly populate the database. For example, if you use two volumes, one with 20 disk drives and the other with 10 disk drives, you should create a filegroup with two data files. The first data file should go on the 20-disk volume and be twice as big as the data file on the 10-disk volume. As data is loaded, SQL Server will load twice as much data into the first data file as it loads into the second data file. This should keep the I/O load per disk drive approximately the same.

by SQL Server and can switch context when in user mode, thereby requiring fewer resources than a Windows thread. A single Windows thread can be mapped to many fibers.

6

the query optimizer to automatically parameterize all queries that pass in predicate values as literals.

failover cluster Two or more computer sys-

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