The Value of Merge-Join and Hash-Join in SQL Server.
Goetz Graefe:
The Value of Merge-Join and Hash-Join in SQL Server.
VLDB 1999: 250-253@inproceedings{DBLP:conf/vldb/Graefe99,
author = {Goetz Graefe},
editor = {Malcolm P. Atkinson and
Maria E. Orlowska and
Patrick Valduriez and
Stanley B. Zdonik and
Michael L. Brodie},
title = {The Value of Merge-Join and Hash-Join in SQL Server},
booktitle = {VLDB'99, Proceedings of 25th International Conference on Very
Large Data Bases, September 7-10, 1999, Edinburgh, Scotland,
UK},
publisher = {Morgan Kaufmann},
year = {1999},
isbn = {1-55860-615-7},
pages = {250-253},
ee = {db/conf/vldb/Graefe99.html},
crossref = {DBLP:conf/vldb/99},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX
Abstract
Microsoft SQL Server was successful for many
years for transaction processing and decision support
workloads with neither merge join nor hash join,
relying entirely on nested loops and index nested loops join.
How much difference do additional join algorithms really make,
and how much system performance do they actually add?
In a pure OLTP workload that requires only record-to-record
navigation, intuition agrees that index nested loops join is
sufficient. For a DSS workload, however, the question is much
more complex. To answer this question, we have analyzed TPC-D
query performance using an internal build of SQL Server with
merge-join and hash-join enabled and disabled. It shows that merge
join and hash join are both required to achieve the best
performance for decision support workloads.
Copyright © 1999 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
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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
DVD Version: Load ACM SIGMOD Anthology DVD 1" and ...
BibTeX
Printed Edition
Malcolm P. Atkinson, Maria E. Orlowska, Patrick Valduriez, Stanley B. Zdonik, Michael L. Brodie (Eds.):
VLDB'99, Proceedings of 25th International Conference on Very Large Data Bases, September 7-10, 1999, Edinburgh, Scotland, UK.
Morgan Kaufmann 1999, ISBN 1-55860-615-7
Contents BibTeX
References
- [Blasgen and Eswaran 1977]
- Mike W. Blasgen, Kapali P. Eswaran:
Storage and Access in Relational Data Bases.
IBM Systems Journal 16(4): 362-377(1977) BibTeX
- [Chaudhuri and Narasayya 1998]
- Surajit Chaudhuri, Vivek R. Narasayya:
Microsoft Index Tuning Wizard for SQL Server 7.0.
SIGMOD Conference 1998: 553-554 BibTeX
- [DeWitt et al. 1984]
- David J. DeWitt, Randy H. Katz, Frank Olken, Leonard D. Shapiro, Michael Stonebraker, David A. Wood:
Implementation Techniques for Main Memory Database Systems.
SIGMOD Conference 1984: 1-8 BibTeX
- [DeWitt et al. 1993]
- David J. DeWitt, Jeffrey F. Naughton, Joseph Burger:
Nested Loops Revisited.
PDIS 1993: 230-242 BibTeX
- [Graefe et al. 1998]
- Goetz Graefe, Ross Bunker, Shaun Cooper:
Hash Joins and Hash Teams in Microsoft SQL Server.
VLDB 1998: 86-97 BibTeX
- [Kitsuregawa et al. 1983]
- Masaru Kitsuregawa, Hidehiko Tanaka, Tohru Moto-Oka:
Application of Hash to Data Base Machine and Its Architecture.
New Generation Comput. 1(1): 63-74(1983) BibTeX
- [Sacco 1986]
- Giovanni Maria Sacco:
Fragmentation: A Technique for Efficient Query Processing.
ACM Trans. Database Syst. 11(2): 113-133(1986) BibTeX
- [Selinger et al. 1979]
- Patricia G. Selinger, Morton M. Astrahan, Donald D. Chamberlin, Raymond A. Lorie, Thomas G. Price:
Access Path Selection in a Relational Database Management System.
SIGMOD Conference 1979: 23-34 BibTeX
- [Shapiro 1986]
- Leonard D. Shapiro:
Join Processing in Database Systems with Large Main Memories.
ACM Trans. Database Syst. 11(3): 239-264(1986) BibTeX
- [TPC-D]
- Transaction Processing Performance Council.
http://www.tpc.org BibTeX
Referenced by
- Surajit Chaudhuri, Gerhard Weikum:
Rethinking Database System Architecture: Towards a Self-Tuning RISC-Style Database System.
VLDB 2000: 1-10
BibTeX
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