How to Recover Truncated Data in SQL Server? – Effectively Guide
Summary: If you are looking for a solution to recover truncated data in SQL Server then, you are on the right page. In this blog, we will discuss the major techniques to rolled back truncated data. So, let’s not waste much time and just dig in.
In today’s advanced technology world, SQL Server is considered the best relational database management system. It is the most preferred platform for storing and handling large amounts of data in organizations. However, SQL Server users also face several issues while working with it. Any minor issue can badly affect the whole database. Sometimes, users have inadvertently executed a DELETE or TRUNCATE statement against a database and lost their valuable data. In such a situation they are finding a relevant solution to recover the lost data. If you are one of the user searching a solution to recover truncated data in SQL Server then you should read the upcoming section of this blog. Before going to resolving workaround let us understand the difference between Delete and Truncate.
What is the difference between Delete and Truncate In SQL?
Both DELETE and TRUNCATE commands are used to remove tuples from a relation or table, but they differ in many contexts. In SQL, DELETE command is able to remove a specified row(tuple) from a relation. Whereas, the TRUNCATE command removes entire tuples or rows from a table.
Unlike the DELETE statement, TRUNCATE does not contain a WHERE clause moreover, the TRUNCATE command is fast and we can’t rollback the data after using the TRUNCATE command once the transaction session is closed. There is no manual solution to rolled back truncated data using log files after the transaction session is closed. In such a situation, the SQL Database Recovery Tool is the only solution to recover the data. In the subsequent section, we discuss the best tool and how it is useful for you. So let us start.
One-Stop Solution to Recover Truncated Data in SQL Server (100% Effective)
SQL Database Recovery is the expert solution to recover truncate tables in Microsoft SQL Server. Not just this, the tool recovers lost, corrupted, deleted tables, rules, stored procedures, functions, views, and much more. It is capable to instantly repair and recover the database files of SQL Server 2019, 2017, 2016, 2014, 2012, and all below versions.
In addition to this, the graphical user interface of the application is simple and easy-to-use that all types of users can easily recover truncated data in SQL Server without taking any expert help. The tool is loaded with various useful features some of them are mentioned below:
- The tool recovers both primary and secondary database files.
- It provides dual scanning modes (Quick and Advance) for both minor and major database corruption.
- Provide option to export data into SQL Sever Database, CSV File Format, or as SQL Compatible Scripts.
- Recovers deleted database objects – tables, rules, stored procedures, functions, views, indexes, etc.
- Provide option to export recovered data with schema and Data+Schema options.
- Allow users to save recovered data to the existing database or as a new database.
Also Read: How to Recover Deleted Records in SQL Server?
Step by Step Guide to Recover Truncated Data in SQL Server
Step 1. Download and launch the application on your system.
Step 2. After that, browse the database MDF file, choose Advance scan mode and also select the server version either manually or automatically.
Step 3. Preview the recovered database and then hit the Export button.
Step 4. Select the export option and enter the detail accordingly. At last click the Export button.
Final Words
In this technical post, we have mentioned the simplest way to recover truncated data in SQL Server 2019, 2017, 2016, 2014, 2012, and others. The software suggested here is completely safe & secure to download also it does not conflict with the other application installed in your system. For prior evaluation, you can download the demo version of the tool to check the functions and working of it.
