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Home 2015 October SQL Server: Script to reset Table Identity using DBCC CHECKIDENT

SQL Server: Script to reset Table Identity using DBCC CHECKIDENT

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In this post, I am sharing an important DBCC command to reset or change the current value of Table Identity Column in SQL Server.

I found that this is a most famous question from SQL Server Professional, so I am also interested in writing a small note on this.

Using DBCC CHECKIDENT, you can reseed the identity value of the table.
For example, Your table has total 268 rows, and the last id is 268 and now if you want to skip some identity values for the next couple of insertion and require next id value as a 302.

You can use below the command to perform the above exercise.

1
DBCC CHECKIDENT (yourtable, reseed, 301)

After executing the above command, you will find next inserted id is:302.

You can find more details on Microsoft Official Page.

Oct 13, 2015Anvesh Patel
Database Design: The Truth about Archive Table and Soft Delete of Historical DataSQL SERVER: What is QUOTED_IDENTIFIER ON/OFF and ANSI_NULL ON/OFF
Comments: 1
  1. Major
    November 29, 2015 at 12:50 am

    I like the helpful information you provide in your articles.
    I will bookmark your weblog and check again here regularly.

    I’m quite certain I will learn many new stuff right here!
    Best of luck for the next!

Anvesh Patel
Anvesh Patel

Database Engineer

October 13, 2015 SQL ServerAnvesh Patel, database, database research and development, DBCC CHECKIDENT, dbrnd, SQL Query, SQL Server, SQL Server Administrator, SQL Server Monitoring, SQL Server Performance Tunning, SQL Server Tips and Tricks, TSQL
About Me!

I'm Anvesh Patel, a Database Engineer certified by Oracle and IBM. I'm working as a Database Architect, Database Optimizer, Database Administrator, Database Developer. Providing the best articles and solutions for different problems in the best manner through my blogs is my passion. I have more than six years of experience with various RDBMS products like MSSQL Server, PostgreSQL, MySQL, Greenplum and currently learning and doing research on BIGData and NoSQL technology. -- Hyderabad, India.

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