![]() ![]() The order of the changes is based on transaction commit time. The overhead will frequently be less than that of using alternative solutions, especially solutions that require the use of triggers.Ĭhange tracking is based on committed transactions. ![]() However, using change tracking can help minimize the overhead. Synchronous change tracking will always have some overhead. Custom cleanup for data that is stored in a side table isn't required.įunctions are provided to obtain change information. Cleanup for change tracking is performed automatically in the background. You don't have to add columns, add triggers, or create side table in which to track deleted rows or to store change tracking information if columns can't be added to the user tables. Because functionality is available in SQL Server, you don't have to develop a custom solution. Using change data capture or change tracking in applications to track changes in a database, instead of developing a custom solution, has the following benefits: Creating these applications usually involves a lot of work to implement, leads to schema updates, and often carries a high performance overhead. Typically, to determine data changes, application developers must implement a custom tracking method in their applications by using a combination of triggers, timestamp columns, and additional tables. The ability to query for data that has changed in a database is an important requirement for some applications to be efficient. Benefits of using change data capture or change tracking For the editions of SQL Server that support change data capture and change tracking, see Editions and supported features of SQL Server. Change data capture and change tracking can be enabled on the same database no special considerations are required. 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 provides two features that track changes to data in a database: change data capture and change tracking. Applies to: SQL Server Azure SQL Database Azure SQL Managed Instance ![]()
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