Backing Up, Restoring, and Moving a Database in .NET framework

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Backing Up, Restoring, and Moving a Database
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Restoring a Transaction Log Backup
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You use transaction log backups to roll a database forward to a specific point in time. This point in time is generally the last operation that was executed against the database, but you can select a different point. Transaction logs can be applied to a full backup or after a differential backup has been restored. A transaction log backup contains a sequence of transactions identified by an LSN. Transactions can also be explicitly named by placing a mark in the transaction log. The exact time a transaction was executed is logged along with the change that was made.
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You can use the STOPAT option to restore a database to a particular LSN, named transaction, or point in time. This capability enables a database to be restored so that it does not contain all the transactions up to the most recent. You usually choose this option when restoring a database that has become corrupted so that you can restore to just before the corruption occurred. You can also use it to recover a database in which data has been accidentally deleted; you restore the database to a point in time just before the delete was executed. But because this process causes any transactions after this point to be lost, you must use it with caution.
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When a database is created, the LSN starts at 1 and increments to infinity. This LSN is written into the header of each file that comprises a database. As long as a database is never switched to the Simple recovery model or the BACKUP LOG WITH TRUNCATE_ONLY command is not issued, the transaction log backups executed against a database form a continuous chain back to when the database was created. This log chain crosses every full, differential, and filegroup backup that is ever performed. As long as you keep all full backups and all subsequent transaction log backups, you can always recover a database to a point in time by starting with any full backup and then applying every subsequent transaction log backup. In extreme cases, databases have even been recovered by restoring a full backup that was created years before and then subsequently restoring the thousands of transaction log backups that had been created over a several-year time span.
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Lesson 2: Restoring a Database
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An example of two different restore sequences follows:
--Restore sequence using a full, differential, and transaction log backup. --Full RESTORE DATABASE AdventureWorks FILEGROUP = FG1 FROM DISK = C:\TEST\AWFG1.BAK WITH NORECOVERY --Differential RESTORE DATABASE AdventureWorks FROM DISK = C:\TEST\FG1DIFF1.BAK WITH NORECOVERY --Transaction log RESTORE LOG AdventureWorks FROM DISK = C:\TEST\AW2.TRN WITH RECOVERY --Restore sequence using a full --Full RESTORE DATABASE AdventureWorks NORECOVERY --Transaction log RESTORE LOG AdventureWorks FROM RESTORE LOG AdventureWorks FROM backup and multiple transaction log backups. FILEGROUP = FG1 FROM DISK = C:\TEST\AWFG1.BAK WITH
DISK = C:\TEST\AW1.TRN WITH NORECOVERY DISK = C:\TEST\AW2.TRN WITH RECOVERY
BEST PRACTICES
Recovering to a point in time following a disaster
Recovering databases without any data loss would be much easier if problems always occurred just after you completed a backup and before your application issued any additional transactions. Alas, we are never that lucky. So in any disaster scenario, you always have transactions in the log that have not yet been backed up. For this reason, your first step in any recovery operation is to issue one final BACKUP LOG command. This process captures all remaining committed transactions that have not been backed up and is commonly referred to as backing up the tail of the log. Because you can issue a BACKUP LOG command against a database even if every data file, including the primary data file, is no longer available, the only excuse for not backing up the tail of the log would be when the transaction log no longer exists. The backup of the tail of the log then becomes the final transaction log that you apply in a restore process, enabling the database to be recovered without any loss of data.
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