What is the “throughput” metric (QthD)?
The throughput metric is a classical throughput measure characterizing the ability of the system to support a multi-user workload in a balanced way. A number of query users (S) is chosen, each of which execute the full set of 17 queries in a different order. In the background there is an update stream that runs a series of insert/delete operations (one pair for each query user). The choice of the number of users is at the discretion of the test sponsor. The throughput metric is computed as the total amount of work (S*17), converted to hours from seconds (3600 seconds per hour), scaled by the database volume (SF) and divided by the total elapsed time (Ts) required between the first query starting and the last query or update function completing. Therefore the complete formulation is: S * 17 * 3600 QthD = ————— * SF Ts Note that if the test sponsor chooses S=1 for the throughput test, for ease of benchmarking it is permissible to omit the throughput test and compute the through
