What are the 3 Recovery Models in SQL Server?

If you are wondering what the 3 recovery models in SQL Server are, this post is perfect for you. In this technical post, users will learn different SQL recovery models in SQL Server without facing any difficulties. If you want to know more about it, just stick to this technical post and achieve the desired results.

Sometimes, while working on the SQL database, users might encounter backup and restore issues and may not know the correct technique to fix them. For this reason, we have created this post to provide effective solutions to address this issue.

What are Recovery Models in MS SQL Server?

In MS SQL Server, each SQL database has its own SQL recovery model settings. It plays an important role in handling the stability and reliability of the user SQL Server database. They defined how SQL transactions are logged in the transaction log and how backups and restore options are used in the user database in case of a failure of the SQL Server. It also determined how much space and data the SQL Server engine has to write to the SQL Server transactions log, and whether a point-in-time restore action can be performed.

There are a total of 3 types of SQL recovery models in the MS SQL Server database.

• Simple
• Full
• Bulk-logged

In the upcoming section, we discuss every SQL recovery model in brief, which includes the definition, reasons for selecting them, and drawbacks.

According to the type of SQL recovery model, users can restore the SQL data if there is a malfunction or error in the SQL database.

Simple Recovery Model

The simple recovery model is the most basic and minimalistic type of recovery model among the three models. In this recovery model, every transaction written to the SQL transaction log is automatically removed from the transaction log records on each completed transaction. In the simple recovery model, users are limited to performing differential and full backups only. Transaction logs might not be backed up, and the database holds only important transaction log data. The user cannot perform a point-in-time restore with full and differential backups when a simple recovery backup is used. In a simple recovery model, there is a possibility of minimal loss of information.

Command to set database in Simple Recovery Mode

ALTER DATABASE YourDatabaseName SET RECOVERY SIMPLE;

Advantages of the Simple Recovery Model

• The major advantage of the simple recovery model is that it will automatically truncate the transactions log, minimizing disk space requirements.
• It requires less administration compared to the full and bulk-logged recovery models. It is most suitable for the development and testing of SQL databases.
• The point-of-failure recovery applies only for full or differential backups. A basic reporting or application database where data loss can be tolerated.

Drawbacks of the Simple Recovery Model

• The simple recovery model's major limitation is its inability to perform point-in-time restores, potentially leading to data loss in case of database failures.
• A simple recovery model isn't appropriate for production databases in organizations that can't tolerate data loss.

Full Recovery Model

The Full recovery model offers extensive transaction logging, capturing all transactions and necessitating regular log backups to manage log size. It enables precise point-in-time recovery, allowing restoration of the database to specific moments in time. The system does not automatically remove them after each transaction is completed. Transaction logs also capture index creation and modification alongside insert and update transactions. This process significantly increases the log file size due to recording every transaction. Therefore, the administration must vigilantly monitor the expanding log size.

When the transaction log reaches capacity, the database stops accepting new transactions until the log file is backed up or cleared.

Command to set database in Full Recovery Mode

ALTER DATABASE YourDatabaseName SET RECOVERY FULL;

Advantages of the Full Recovery Model

• The full recovery model supports mission-critical applications and shows designs for high-availability solutions for users.
• It can restore the SQL data at any random point and help users with minimum data loss.
• The full recovery model is ideal for critical databases that require minimal data loss and point-in-time recovery capabilities.
• If your database is configured with multiple file groups, you need to perform a partial restore that includes both read/write secondary file profile groups up and optionally read-only file groups.
• It enables transaction log backups, facilitating recovery to a specific point in time.
• Restore each page individually. This leads to high administrative overhead.

Drawbacks of the Full Recovery Model

• The size of SQL transactions log files is very huge, and it extends in size and space with each SQL transaction.
• It required continuous and closed administration monitoring for the growing log size.
• In the case of SQL transactions is complete, then the database will not accept further SQL transactions.

Bulk-Logged Recovery Model

The Bulk-Logged recovery model balances between the Simple and Full recovery models. It offers full logging for most transactions but minimizes logging during specific bulk operations like inserts or index rebuilds, improving their performance while enabling point-in-time recovery. If users perform bulk operations, then we get to restore the SQL database only to the last transactions log before the bulk tasks are recorded.

Command to set database in Bulk-Logged Recovery Model

ALTER DATABASE YourDatabaseName SET RECOVERY BULK_LOGGED;

Advantages of the Bulk-Logged Recovery Model

• The transaction log file size does not increase significantly compared to the full recovery model.
• In the bulk-logged recovery model, point-in-time restoration is feasible under specific conditions.
• Enhancing performance during bulk operations by reducing logging activities.
• The Bulk-Logged recovery model is ideal for databases that frequently perform bulk operations and prioritize performance.

• It uses specific operations for a minimal logging method to stop log file growth. mentioned

Drawbacks of the Bulk-Logged Recovery Model

• Bulk-Logged Recovery Model point-in-time restoration is not supported for certain cases.

Smart Solution for the SQL Server Database Recovery

If all the above-mentioned recovery models fail to resolve the user's problem of backups and restores, then it can use a SysTools SQL Database Recovery Tool.

Follow these steps to back up and restore SQL data

1. Download and run the software application on your computer.
2. Click to open and add the damaged MDF/NDF file.
3. Choose the export option like SQL Server database, CSV file, and SQL Server Compatible Script.
4. Lastly, hit the export button and save the recovered data.

How to Check and Change the SQL Recovery Model

Users can view or change the SQL database recovery model using the following options mentioned below.

Use SQL Server Management Studio (SSMS)

Steps to follow to change and check the recovery model by using the SQL Server Management Studio.

1. Start with the opening of SQL Server Management Studio (SSMS).
2. Now, right-click on Database and select Properties.
3. Go to the Database Properties window will show. In this, select Options from the left panel.
4. Now, choose the new recovery model from the drop-down menu.
5. Lastly, click on OK to view the changes.

Use SQL Command

The user may also use the following SQL query to change the recovery model of a SQL database.

USE [My_Database_Name] ;

ALTER DATABASE [My_Database_Name] SET RECOVERY FULL;

Conclusion

In this post, we discuss what are the 3 recovery models in SQL Server, such as Simple, Full, and Bulk-logged recovery models. We also mentioned the advantages and drawbacks of each recovery model to decide which one is best for the users. Lastly, we discuss a smart solution to resolve all the problems quickly and reliably so that users can be saved.