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Progressive Join Algorithms Considering User Preference
Abstract
Progressive query processing is a new attractive paradigm for exploratory data analysis. This paper considers the case where users want to receive results ordered according to their preference, and specifically focuses on the design of join algorithms. We investigate the use of contour lines in progressive algorithms with user preferences, and propose ContourJoin to reduce sorting overhead of progressive preference-aware joins. Experimental results show that compared with the naı¨ve blocking algorithm and the top-k RankJoin algorithm, ContourJoin has superior performance in both early result generation and total result computation.
Citation
@inproceedings{cidr/2021/cidr2021_paper02,
author = {Mengsu Ding and
Shimin Chen and
Nantia Makrynioti and
Stefan Manegold},
title = {Progressive Join Algorithms Considering User Preference},
booktitle = {Proceedings of the 11th Conference on Innovative Data Systems Research, CIDR 2021},
publisher = {www.cidrdb.org},
year = {2021},
series = {CIDR 2021},
url = {https://cidr.org/temp-website/papers/2021/cidr2021_paper02.pdf},
location = {Virtual Event}
}