Database system optimisation and tuning encompass a multifaceted approach to enhancing the performance, reliability, and scalability of data management systems.

By combining machine learning and adaptive query execution, query optimization in Presto could become smarter and more efficient over repeated use.

This paper describes a greedy heuristic for a class of combinatorial optimization problems; a central feature of the method being a look-ahead capability. The power of the heuristic is demonstrated ...