Abstract
In this paper, we consider relational queries involving one or more constraints over the sum of multiple attributes (sum constraint queries). We develop rewriting techniques to transform a sum constraint query in order to enable its efficient processing by conventional relational database engines. We also consider the problem of producing partial results for sum constraint queries. We propose a framework for ranking tuples in a relation according to their likelihood of contributing to a tuple in the result of a sum constraint query. Sorting tuples using this framework provides an alternative to traditional sorting based on single attribute value.
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Nestorov, S., Liu, C., Foster, I. (2007). Efficient Processing of Relational Queries with Sum Constraints. In: Dong, G., Lin, X., Wang, W., Yang, Y., Yu, J.X. (eds) Advances in Data and Web Management. APWeb WAIM 2007 2007. Lecture Notes in Computer Science, vol 4505. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72524-4_46
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DOI: https://doi.org/10.1007/978-3-540-72524-4_46
Publisher Name: Springer, Berlin, Heidelberg
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