Rule-based parallel query optimization for OQL using a parallelism extraction technique

This work deals with query optimization far parallel object-oriented databases using rule-based optimizers. The solution enacted departs from an existing non-parallel database query optimizer and extends it with a parallelism extraction module that modifies the original query optimizer to generate query plans for a parallel OODBMS architecture. The ideas are applied in the design of a parallel optimizer for OQL. The implementation approach shows that the parallelism extraction technique combined with a rule-based optimizer generator tool can help to produce a parallel optimizer from a non-parallel one with minimum effort.