Abstract

Scientific databases used for organizing, archiving, collaborating and sharing research data depend on a well-defined schema to accurately reflect the scientific domain and on database-driven applications for supporting key user interactions with the database. Applications that interact with a database typically depend on some form of schema mappings, such as object-relational mappings, to inform the application of how to query and manipulate the database. The presence of schema mappings, however, further exacerbates the already difficult task of evolving the database schema. Database migration utilities provide some help by coordinating schema evolution scripts with application code changes, but only automate the simplest schema mapping changes. In this paper, we present an approach to coupled database-application evolution by extending a database evolution language with model management …

Date

October 11, 2022

Authors

Robert E Schuler, Carl Kesselman

Conference

2022 IEEE 18th International Conference on e-Science (e-Science)

Pages

214-224

Publisher

IEEE