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Establishing a Backup Schedule
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In general, you should always perform a full or differential database backup immediately after you perform a nonlogged operation. Nonlogged operations are those that either cannot be recorded in the transaction log or are purposely declared as nonlogged to prevent the log from filling up. Examples include performing bulk copy operations (performed with the bcp command or Data Transformation Services, for example), executing SELECT INTO statements, and dealing with text data types (using the WRITETEXT and UPDATETEXT commands). When SQL Server encounters these operations, it records the fact that they were performed (along with any changes to physical data files or pages), but does not record the content of the records that have been added or have changed. Therefore, transaction log backups will be invalid and cannot be applied after they occur.
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Performing Database Backups
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Performing a full or differential database backup after nonlogged operations will ensure that, in the event that you need to recover information, the last backup will be in a consistent state. Other advantages include a certain level of fault tolerance, because if certain backups end up being corrupt or unavailable, other files can be used to restore to a point after the last full backup was performed.
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The major negative effect of performing backups will be a reduction in overall system performance. Other tradeoffs include the following operations, which cannot be performed during a database backup: w s s v Creating indexes Creating or deleting database files Performing nonlogged operations (as described in the preceding section) Expanding or shrinking the database
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The users needs should be a primary concern during backup operations. If usage is heavy during a certain time of day, you might choose not to back up information during that time, to avoid negative impacts on performance. However, if the data is very valuable, you may need to perform backups during this time; if so, do let your users know of any potential performance lags. Also, keep in mind that usage patterns might be very different than what you expected. Although it is unlikely that users will be modifying information in the middle of the night for a local database, international data repositories might be used heavily around the clock. Now let s combine the information we ve covered so far into a backup schedule.
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A Sample Backup Schedule
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In this example, we ll assume that XYZ Corporation maintains a database of all of its sales transactions. Data is collected and input from 300 cashiers in 30 stores. The normal operating hours for the stores are from 7:30 A.M. to 6:00 P.M., Monday through Saturday, with most stores closed on Sundays. Performance at the point of sale is vital, because it affects business. Table 6-2 provides a sample data protection schedule combining the various backup types. Notice that Table 6-2 makes some very critical assumptions. Before such a schedule is mandated, managers and users should be in agreement, for example, that losing up to one hour s worth of data is acceptable in a worst-case scenario. By spreading backup times throughout the day and using differential and transaction log backups, we have minimized the performance impact that is likely to occur as a result of the backup operations. Hopefully, with this solution, XYZ s customers and employees won t have to wait as long for transactions to complete during busy times. (In 7, we ll see how these backups can be used. We ll also look at the details of what you can do if certain backups are corrupt or invalid.)
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SQL Server 7 Backup & Recovery
Operation Full backup
Day of the Week Sunday
Starting Time(s) 4:00 P.M.
Notes User activity is minimal on Sunday afternoon. No significant database changes are expected outside the hours of 8:00 A.M. to 8:00 P.M.
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