@inproceedings{0d87a7f88c444e9e8c19b266eec249f8,
title = "A foundation for the replacement of pipelined physical join operators in adaptive query processing",
abstract = "Adaptive query processors make decisions as to the most effective evaluation strategy for a query based on feedback received while the query is being evaluated. In essence, any of the decisions made by the optimizer (e.g., on operator order or on which operators to use) may be revisited in an adaptive query processor. This paper focuses on changes to physical operators (e.g., the specific join operators used, such as hash-join or merge-join) in pipelined query evaluators. In so doing, the paper characterizes the runtime properties of pipelined operators in a way that makes explicit when specific operators may be replaced, and that allows the validity of operator replacements to be proved. This is illustrated with reference to the substitution of join operators during their evaluation. {\textcopyright} Springer-Verlag Berlin Heidelberg 2006.",
author = "Kwanchai Eurviriyanukul and Fernandes, {Alvaro A A} and Paton, {Norman W.}",
year = "2006",
doi = "10.1007/11896548_44",
language = "English",
isbn = "3540467882",
volume = "4254",
series = "Lecture Notes in Computer Science",
publisher = "Springer Nature",
pages = "589--600",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.",
address = "United States",
note = "10th International Conference on Extending Database Technology, EDBT 2006 ; Conference date: 01-07-2006",
}