The proposed archiving solution seeks to tackle prevalent challenges by introducing a more streamlined and adaptable approach. This comprehensive strategy encompasses several key steps, including the creation and deletion of tables and columns, tailored handling based on process type, configuration adjustments aligned with specified day ranges, and meticulous management of both dependent and non-dependent tables. Additionally, the solution incorporates the purging of reference tables, ensuring a holistic approach to data management.
Dynamic Archiving serves as the cornerstone of this solution, offering users the capability to configure and implement archiving procedures for a myriad of tables and their associated dependencies. By generating backups of production data and optimizing space utilization in the production environment, the process aims to significantly enhance application performance. To implement this approach, a specialized stored procedure is crafted, responsible for collating configuration details and executing designated actions, be it archiving or deletion, based on specified table parameters.