What actions should be taken to adhere to the code-to-data programming approach?

The code-to-data programming approach emphasizes processing data as close to the source as possible, which often means performing operations directly within the database itself, rather than transferring data to an application server for processing. This method takes advantage of the database's capabilities, such as in-memory processing and optimized query execution, which can lead to improved performance and reduced data transfer times.

Using native SQL functions directly on HANA aligns perfectly with this approach. By leveraging native SQL, developers can execute complex logic and calculations efficiently within the database, minimizing the need for moving large volumes of data back and forth between the database and the application layer. This enhances performance and reduces resource consumption on application servers.

In contrast, aggregating data on the ABAP layer or performing calculations on the ABAP application server results in data being transferred from HANA to the application. This defeats the purpose of the code-to-data approach, leading to potential performance degradation. Additionally, transferring all data from the database to the ABAP layer would be highly inefficient, especially with large datasets, as it increases latency and can burden the application server unnecessarily.