Query Optimization in OODBMS using Query Decomposition and Query Caching

Abstract

Query optimization is of great importance for the performance of databases, especially for the execution of complex query statements. This paper is based on relatively newer approach for query optimization in object databases, which uses query decomposition and cached query results to improve execution times for a query. Multiple experiments will be executed to prove the effectiveness of this approach. The two main areas which will be covered are caching of query results and maintenance of the consistency of result sets after database updates.