Partition Based Spatial-Merge Join.
Jignesh M. Patel, David J. DeWitt:
Partition Based Spatial-Merge Join.
SIGMOD Conference 1996: 259-270@inproceedings{DBLP:conf/sigmod/PatelD96,
author = {Jignesh M. Patel and
David J. DeWitt},
editor = {H. V. Jagadish and
Inderpal Singh Mumick},
title = {Partition Based Spatial-Merge Join},
booktitle = {Proceedings of the 1996 ACM SIGMOD International Conference on
Management of Data, Montreal, Quebec, Canada, June 4-6, 1996},
publisher = {ACM Press},
year = {1996},
pages = {259-270},
ee = {http://doi.acm.org/10.1145/233269.233338, db/conf/sigmod/PatelD96.html},
crossref = {DBLP:conf/sigmod/96},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
Abstract
This paper describes PBSM (Partition Based Spatial-Merge), a new
algorithm for performing spatial join operation.
This algorithm is especially effective when neither of the inputs to
the join have an index on the joining attribute.
Such a situation could arise if both inputs to the join are
intermediate results in a complex query, or in a parallel environment
where the inputs must be dynamically redistributed.
The PBSM algorithm partitions the inputs into manageable chunks,
and joins them using a computational geometry based plane-sweeping
technique. This paper also presents a performance study comparing the
traditional indexed nested loops join algorithm, a spatial join algorithm
based on joining spatial indices, and the PBSM algorithm.
These comparisons are based on complete implementations of these
algorithms in Paradise, a database system for handling GIS applications.
Using real data sets, the performance study examines the behavior of these
spatial join algorithms in a variety of situations, including the cases
when both, one, or none of the inputs to the join have an suitable index.
The study also examines the effect of clustering the join inputs on the
performance of these join algorithms. The performance comparisons
demonstrates the feasibility, and applicability of the PBSM algorithm.
Copyright © 1996 by the ACM,
Inc., used by permission. Permission to make
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Printed Edition
H. V. Jagadish, Inderpal Singh Mumick (Eds.):
Proceedings of the 1996 ACM SIGMOD International Conference on Management of Data, Montreal, Quebec, Canada, June 4-6, 1996.
ACM Press 1996
,
SIGMOD Record 25(2),
June 1996
Contents
[Index Terms]
[Full Text in PDF Format, 1494 KB]
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