Ferdinando Di Martino, Salvatore Sessa, Giuseppe Polese, Mario Vacca


Updating a schema is a very important activity which occurs naturally during the life cycle of database systems, due to different causes. A challenging problem arising when a schema evolves is the change propagation problem, i.e. the updating of the database ground instances to make them consistent with the evolved schema. Spatial datasets, a stored representation of geographical areas, are VLDBs and so the change propagation process, involving an enormous mass of data among geographical distributed nodes, is very expensive and call for efficient processing. Moreover, the problem of designing languages and tools for spatial data sets change propagation is relevant, for the shortage of tools for schema evolution, and, in particular, for the limitations of those for spatial data sets. In this paper, we take in account both efficiency and limitations and we propose an instance update language, based on the efficient and popular Map-Reduce Google programming paradigm, which allows to perform in a parallel way a wide category of schema changes. A system embodying the language has been implementing.


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Paper Citation

in Harvard Style

Di Martino F., Sessa S., Polese G. and Vacca M. (2009). A MAPREDUCE FRAMEWORK FOR CHANGE PROPAGATION IN GEOGRAPHIC DATABASES . In Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-8111-84-5, pages 31-36. DOI: 10.5220/0001861300310036

in Bibtex Style

author={Ferdinando Di Martino and Salvatore Sessa and Giuseppe Polese and Mario Vacca},
booktitle={Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},

in EndNote Style

JO - Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
SN - 978-989-8111-84-5
AU - Di Martino F.
AU - Sessa S.
AU - Polese G.
AU - Vacca M.
PY - 2009
SP - 31
EP - 36
DO - 10.5220/0001861300310036