![]() Whether you're new to CDC or looking to optimize your existing implementation, this article has something for you. We'll also cover important performance considerations and best practices for implementing CDC in your SQL Server environment. In this article, we'll walk you through the process of implementing CDC in SQL Server, from enabling it at the database and table levels to working with change tables and CDC functions. Additionally, you should monitor your CDC jobs regularly to ensure they are running smoothly and not causing any issues.Ĭhange Data Capture (CDC) is a powerful feature in SQL Server that enables you to track changes made to your database. CDC can generate a significant amount of additional workload on your SQL Server instance, so you may need to optimize your database design and hardware infrastructure to handle the increased load. When implementing CDC, it's important to consider performance and scalability.These functions allow you to filter the changes by time range, transaction ID, and other criteria. You can use the CDC functions provided by SQL Server to query the change table and retrieve the captured changes. ![]() The change table has a similar structure to the original table but includes additional columns to track the type of change, the time of the change, and the transaction that caused the change.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |