What is Heuristic Optimization?
In DBMS, heuristic optimization is a procedure that is aimed at the rapid exploration of almost all execution plans in a quick and efficient way. Unlike the exhaustive optimization methods that postulate all the feasible plan alternatives and then apply them to the optimization process, the heuristic optimization rules, with the use of derived empirical knowledge and approximate algorithms, tend to speed up the process. Through the implementation of heuristics, the DBMS optimizers spur efficient execution query plan convergence while also minimizing computational cost.
What is Heuristic Optimization in DBMS?
Database management systems (DBMS) use optimization techniques to help better yielding queries and improve overall system performance in the world of DBMS. Among those techniques, heuristic optimization can be considered the leading one, which utilizes table of thumb, oral communication, and a very simple method rather than a complex one for instant optimization on query execution plans. Here, this text illustrates the complexity of heuristic optimization in DBMS by pointing out its merit, means, and assessment of overall database performance.