AutoAdmin 'What-if' Index Analysis Utility.

Surajit Chaudhuri, Vivek R. Narasayya: AutoAdmin 'What-if' Index Analysis Utility. SIGMOD Conference 1998: 367-378

@inproceedings{DBLP:conf/sigmod/ChaudhuriN98,
  author    = {Surajit Chaudhuri and
               Vivek R. Narasayya},
  editor    = {Laura M. Haas and
               Ashutosh Tiwary},
  title     = {AutoAdmin 'What-if' Index Analysis Utility},
  booktitle = {SIGMOD 1998, Proceedings ACM SIGMOD International Conference
               on Management of Data, June 2-4, 1998, Seattle, Washington, USA},
  publisher = {ACM Press},
  year      = {1998},
  isbn      = {0-89791-995-5},
  pages     = {367-378},
  ee        = {http://doi.acm.org/10.1145/276304.276337, db/conf/sigmod/ChaudhuriN98.html},
  crossref  = {DBLP:conf/sigmod/98},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Abstract

As databases get widely deployed, it becomes increasingly important to reduce the overhead of database administration. An important aspect of data administration that critically influences performance is the ability to select indexes for a database. In order to decide the right indexes for a database, it is crucial for the database administrator (DBA) to be able to perform a quantitative analysis of the existing indexes. Furthermore, the DBA should have the ability to propose hypothetical ("what-if") indexes and quantitatively analyze their impact on performance of the system. Such impact analysis may consist of analyzing workloads over the database, estimating changes in the cost of a workload, and studying index usage while taking into account projected changes in the sizes of the database tables. In this paper we describe a novel index analysis utility that we have prototyped for Microsoft SQL Server 7.0. We describe the interfaces exposed by this utility that can be leveraged by a variety of front-end tools and sketch important aspects of the user interfaces enabled by the utility. We also discuss the implementation techniques for efficiently supporting "what-if" indexes. Our framework can be extended to incorporate analysis of other aspects of physical database design.

Copyright © 1998 by the ACM, Inc., used by permission. Permission to make digital or hard copies is granted provided that copies are not made or distributed for profit or direct commercial advantage, and that copies show this notice on the first page or initial screen of a display along with the full citation.

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Laura M. Haas, Ashutosh Tiwary (Eds.): SIGMOD 1998, Proceedings ACM SIGMOD International Conference on Management of Data, June 2-4, 1998, Seattle, Washington, USA. ACM Press 1998, ISBN 0-89791-995-5

, SIGMOD Record 27(2), June 1998
Contents

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[Abstract]

References

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