Which partitioning option distributes rows equally for load balancing in the SAP HANA database?

The Round Robin partitioning option is specifically designed to distribute rows evenly across multiple partitions, which facilitates load balancing in the SAP HANA database. This method distributes each incoming row to the next partition in a circular fashion. As a result, rows are assigned to partitions in a predictable and straightforward manner, ensuring that each partition receives a balanced number of rows. This is particularly advantageous in scenarios where workload performance and resource utilization need to be optimized, as it helps prevent any single partition from becoming a bottleneck due to uneven data distribution.

In contrast, other partitioning methods, such as Hash, Range, and List, do not focus primarily on equal distribution. Hash partitioning uses a hash function based on the values of a specified column to determine which partition a row will go into. This can lead to balanced distribution, but it is contingent on the nature of the data itself. Range partitioning divides data based on defined ranges of values, which can potentially lead to unequal row distribution, especially if the data is not uniformly distributed across those ranges. List partitioning categorizes rows based on specific values, again leading to potential imbalances depending on how many rows correspond to each list value. Hence, while these methods have their use cases, they do not guarantee the