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Evolution of a Relational Schema and its Impact on SQL Queries

Publication at Faculty of Mathematics and Physics |
2013

Abstract

Since the typical feature of a real-world application is evolution, i.e. changes in user requirements, the problem of change propagation is an important task. In this paper we study its specific part - evolution of a relational database schema and its impact on related SQL queries.

The proposed approach shows an ability to model database queries together with a database schema. The feature then provides a solution how to adapt database queries related to the evolved database schema.

The proposal was implemented within a complex evolution framework called DaemonX and various experiments proving the concept were carried out.