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in sql server, the recovery model of a database determines how transactions are logged, whether the transaction log is backed up, and how the database can be restored. there are three primary recovery models in sql server: **simple**, **full**, and **bulk-logged**. each model has its own use cases and implications for data recovery and management.
1. simple recovery model
description:
- in the simple recovery model, sql server automatically reclaims log space for reuse when a transaction is completed. this means that you cannot perform point-in-time recovery; you can only restore to the most recent full backup.
- it is suitable for development and testing environments, or for databases that do not require data recovery beyond the last backup.
code example:
to set a database to simple recovery model:
```sql
use master;
go
alter database yourdatabasename
set recovery simple;
go
```
backup strategy:
- you can perform regular full backups, but log backups are not possible in this model.
2. full recovery model
description:
- the full recovery model allows for complete logging of all transactions and retains the transaction log until it is backed up. this enables point-in-time recovery, which is essential for critical systems.
- you must regularly back up the transaction log to prevent it from growing indefinitely.
code example:
to set a database to full recovery model:
```sql
use master;
go
alter database yourdatabasename
set recovery full;
go
```
backup strategy:
1. perform full backups:
```sql
backup database yourdatabasename
to disk = 'c:\backups\yourdatabasename_full.bak';
go
```
2. perform transaction log backups:
```sql
backup log yourdatabasename
to disk = 'c:\backups\yourdatabasename_log.trn';
go
```
3. bulk-logged recovery model
description:
- the bulk-logged recovery model is a hybrid that provides a way to minimize logging for bulk operations (e.g., bulk imports, index creation). it still maintains the ability ...
#DBA #SQLServer #windows
Dba
recovery model
SQL Server
simple
full
bulk-logged
database recovery
transaction log
data backup
restore options
data integrity
performance optimization
data protection
logging strategy
SQL Server management
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