Reordering Query Execution in Tertiary Memory Databases.
Sunita Sarawagi, Michael Stonebraker:
Reordering Query Execution in Tertiary Memory Databases.
VLDB 1996: 156-167@inproceedings{DBLP:conf/vldb/SarawagiS96,
author = {Sunita Sarawagi and
Michael Stonebraker},
editor = {T. M. Vijayaraman and
Alejandro P. Buchmann and
C. Mohan and
Nandlal L. Sarda},
title = {Reordering Query Execution in Tertiary Memory Databases},
booktitle = {VLDB'96, Proceedings of 22th International Conference on Very
Large Data Bases, September 3-6, 1996, Mumbai (Bombay), India},
publisher = {Morgan Kaufmann},
year = {1996},
isbn = {1-55860-382-4},
pages = {156-167},
ee = {db/conf/vldb/SarawagiS96.html},
crossref = {DBLP:conf/vldb/96},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
Abstract
In the relational data model the order of fetching data does not
affect the correctness of query semantics.
This flexibility is exploited in query optimization by statically
reordering data accesses.
However, once a query is optimized, it is executed in a
fixed order in most systems,
with the result that data requests are made in a fixed order.
Only limited forms of runtime reordering can
be provided by low-level device managers.
More aggressive reordering strategies are essential in scenarios where the
latency of access to data objects varies widely and dynamically, as in
tertiary devices.
This paper presents such a strategy.
Our key innovation is to exploit dynamic reordering to match execution order
to the optimal data fetch order, in all parts of the plan-tree.
To demonstrate the practicality of our approach and the impact of our
optimizations, we report on a prototype implementation based on
Postgres.
Using our system, typical I/O cost for queries on tertiary
memory databases is as much as an order of magnitude smaller than with
conventional query processing techniques.
Copyright © 1996 by the VLDB Endowment.
Permission to copy without fee all or part of this material is granted provided that the copies are not made or
distributed for direct commercial advantage, the VLDB
copyright notice and the title of the publication and
its date appear, and notice is given that copying
is by the permission of the Very Large Data Base
Endowment. To copy otherwise, or to republish, requires
a fee and/or special permission from the Endowment.
Online Paper
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Printed Edition
T. M. Vijayaraman, Alejandro P. Buchmann, C. Mohan, Nandlal L. Sarda (Eds.):
VLDB'96, Proceedings of 22th International Conference on Very Large Data Bases, September 3-6, 1996, Mumbai (Bombay), India.
Morgan Kaufmann 1996, ISBN 1-55860-382-4
Contents
Electronic Edition
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