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Most of the RAID levels that will be described here use data striping. Data striping combines the data from two or more disks into one larger RAID logical disk, which is accomplished by placing the first piece of data on the first disk, the second piece of data on the second disk, and so on. These pieces are known as stripe elements, or chunks. The size of the stripe is determined by the controller. Some controllers allow you to configure the stripe size, whereas other controllers have a fixed stripe size. The individual piece of data on each disk is referred to as a stripe or chunk, but the combination of all of the chunks across all disk drives is also referred to as the stripe, as shown in Figure 4-5.

called. When an invalid state transition is attempted, a ThreadStateException is thrown. For instance, when a thread is in the Suspended state as a result of some other thread calling the thread s Suspend method, if the Abort method is invoked on that thread a ThreadStateException is thrown.

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public void ForceAbort() { try { if ((MonitorThread.ThreadState & ThreadState.Suspended) { status = "Can't abort a suspended thread"; MonitorThread.Resume(); } MonitorThread.Abort(); } catch(System.Threading.ThreadStateException ex) { status = "Abort attempted:" + ex.Message; System.Diagnostics.Trace.WriteLine(status); } }

Figure 4-5

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Note The term stripe can be used to describe the piece of data on a specific disk drive, as in the disk stripe, or to refer to the set of related data, as in the RAID stripe. Keep this in mind as you read this chapter and others that refer to RAID.

The RAID level identifies the configuration type and therefore the characteristics of a RAID array other than internal or external logic. One of the most important of these characteristics is fault tolerance. Fault tolerance is the ability of a RAID system to continue to function after a disk drive has failed. Fault tolerance is the primary purpose of RAID controllers. Because your data is valuable, you must protect it against a disk failure.

As pointed out in the log shipping tuning section above, minimize your data loss exposure by frequently backing up the transaction log. You will not save disk space by making fewer and larger backups. The only exposure you have is massive data loss if that one large file is corrupted or the log device is lost prior to backing it up. Shipping the log at

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many small points in time provides less chance for data loss by moving the data over to the log shipping server in more frequent intervals. Experiment on your hardware. Take tests and measurements. Figure out what your company s data loss exposure is. Talk with the managers to understand the service level agreement between IT and the business units. Reflect these realities in the scheduling of the transaction log backups and the overall database recovery strategy.

Click the OK button. On the Build menu, click Deploy Solution. The Output window displays the progress of deployment. Deployment of the solution is complete when you see messages in the Output window announcing that the build and deploy operations succeeded:

Log shipping and mirroring are just technologies that help facilitate high availability. In and of themselves, they are not a substitute for a strategy. High availability is a goal, and how you get there is the strategy. Log shipping and mirroring fit in well and compliment each other in the array of choices a company has for deploying a high availability solution. They fit in well with clustering, replication at the SAN level (dark fiber), a robust backup solution, and so on. Take full advantage of them. They are a terrific out-of-the-box solution that will save you time and the company a lot of money, both in development hours and reduction in lost data.

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