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SQL Server provides two features that track changes to data in a database: change data capture and change tracking. These features enable applications to determine the DML changes (insert, update, and delete operations) that were made to user tables in a database.

SQL Server COLUMNS_UPDATED() Function for Triggers. This function is used to know the inserted or updated columns of a table or view. It returns a VARBINARY stream that by using a bitmask allows you to test for multiple columns.

To configure change tracking, you can use DDL statements or SQL Server Management Studio. For more information, see Enable and Disable Change Tracking (SQL Server). To track changes, change tracking must first be enabled for the database and then enabled for the tables that you want to track within that database.

First, specify the table name that you want to change data in the UPDATE clause. Second, assign a new value for the column that you want to update. In case you want to update data in multiple columns, each column = value pair is separated by a comma (,). Third, specify which rows you want to update in the WHERE clause.

Solution. Using a SQL Server trigger to check if a column is updated, there are two ways this can be done; one is to use the function update(<col name>) and the other is to use columns_updated().

Solution. Using a SQL Server trigger to check if a column is updated, there are two ways this can be done; one is to use the function update(<col name>) and the other is to use columns_updated(). The first method is very intuitive, while the second one is a bit confusing as explained below from MSDN.