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An Efficient Cost-Driven Index Selection Tool for Microsoft SQL Server.

Surajit Chaudhuri, Vivek R. Narasayya: An Efficient Cost-Driven Index Selection Tool for Microsoft SQL Server. VLDB 1997: 146-155
@inproceedings{DBLP:conf/vldb/ChaudhuriN97,
  author    = {Surajit Chaudhuri and
               Vivek R. Narasayya},
  editor    = {Matthias Jarke and
               Michael J. Carey and
               Klaus R. Dittrich and
               Frederick H. Lochovsky and
               Pericles Loucopoulos and
               Manfred A. Jeusfeld},
  title     = {An Efficient Cost-Driven Index Selection Tool for Microsoft SQL
               Server},
  booktitle = {VLDB'97, Proceedings of 23rd International Conference on Very
               Large Data Bases, August 25-29, 1997, Athens, Greece},
  publisher = {Morgan Kaufmann},
  year      = {1997},
  isbn      = {1-55860-470-7},
  pages     = {146-155},
  ee        = {db/conf/vldb/ChaudhuriN97.html},
  crossref  = {DBLP:conf/vldb/97},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX

Abstract

In this paper we describe novel techniques that make it possible to build an industrial-strength tool for automating the choice of indexes in the physical design of a SQL database. The tool takes as input a workload of SQL queries, and suggests a set of suitable indexes. We ensure that the indexes chosen are effective in reducing the cost of the workload by keeping the index selection tool and the query optimizer "in step". The number of index sets that must be evaluated to find the optimal configuration is very large. We reduce the complexity of this problem using three techniques. First, we remove a large number of spurious indexes from consideration by taking into account both query syntax and cost information. Second, we introduce optimizations that nake it possible to cheaply evaluate the "goodness" of an index set. Third, we describe an iterative approach to handle the complexity arising from multicolumn indexes. The tool has been implemented on Microsoft SQL Server 7.0. We performed extensive experiments over a range of workloads, including TPC-D. The results indicate that the tool is efficient and its choices are close to optimal.

Copyright © 1997 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

Matthias Jarke, Michael J. Carey, Klaus R. Dittrich, Frederick H. Lochovsky, Pericles Loucopoulos, Manfred A. Jeusfeld (Eds.): VLDB'97, Proceedings of 23rd International Conference on Very Large Data Bases, August 25-29, 1997, Athens, Greece. Morgan Kaufmann 1997, ISBN 1-55860-470-7
Contents BibTeX

Electronic Edition

From CS Dept., University Trier (Germany)

References

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Himanshu Gupta, Venky Harinarayan, Anand Rajaraman, Jeffrey D. Ullman: Index Selection for OLAP. ICDE 1997: 208-219 BibTeX
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Referenced by

  1. Surajit Chaudhuri, Gerhard Weikum: Rethinking Database System Architecture: Towards a Self-Tuning RISC-Style Database System. VLDB 2000: 1-10
  2. Moses Charikar, Surajit Chaudhuri, Rajeev Motwani, Vivek R. Narasayya: Towards Estimation Error Guarantees for Distinct Values. PODS 2000: 268-279
  3. Surajit Chaudhuri, Eric Christensen, Goetz Graefe, Vivek R. Narasayya, Michael J. Zwilling: Self-Tuning Technology in Microsoft SQL Server. IEEE Data Eng. Bull. 22(2): 20-26(1999)
  4. Surajit Chaudhuri, Vivek R. Narasayya: Index Merging. ICDE 1999: 296-303
  5. Surajit Chaudhuri, Vivek R. Narasayya: Microsoft Index Tuning Wizard for SQL Server 7.0. SIGMOD Conference 1998: 553-554
  6. Surajit Chaudhuri, Vivek R. Narasayya: AutoAdmin 'What-if' Index Analysis Utility. SIGMOD Conference 1998: 367-378
  7. Surajit Chaudhuri, Rajeev Motwani, Vivek R. Narasayya: Random Sampling for Histogram Construction: How much is enough? SIGMOD Conference 1998: 436-447
  8. Janusz Charczuk: Physical Structures Design For Relational Databases. ADBIS 1998: 357-362
BibTeX
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