Which method can improve the performance of delta merges in SAP HANA?

Partitioning the table is a method that can significantly improve the performance of delta merges in SAP HANA. Delta merges are processes that integrate changes from the delta storage into the main storage, which can be resource-intensive. By partitioning the table, the system is able to process these merges in smaller, more manageable segments rather than handling the entire dataset at once. This division allows the database to perform operations concurrently on separate partitions, thus reducing the overall time needed for delta merges and minimizing the contention for resources.

Partitioning also enhances query performance, as it allows the database to scan only relevant partitions when executing queries. Each partition can be managed, optimized, and queried independently, which can lead to increased efficiency during the delta merge operation. This strategy is particularly beneficial when dealing with large tables, as it keeps the workload balanced and optimizes resource utilization.

The other options do not directly address the performance improvement of delta merges in the same effective manner as partitioning. For instance, row-column storage and increasing disk space might contribute to overall performance but do not specifically enhance the efficiency of the delta merge process itself. Deleting old data can help manage the volume of data being merged, but it does not fundamentally improve the performance of the merge operation. Therefore, partition