Nothing Special   »   [go: up one dir, main page]

Skip to main content

Database Tuning Using Combinatorial Search

  • Reference work entry
  • First Online:
Encyclopedia of Database Systems

Definition

Some database tuning problems can be formulated as combinatorial search, i.e., the problem of searching over a large space of discrete system configurations to find an appropriate configuration. One tuning problem where feasibility of combinatorial search has been demonstrated is physical database design. As part of the self-management capabilities of a database system, it is desirable to develop techniques for automatically recommending an appropriate physical design configuration to optimize database system performance. This entry describes the application of combinatorial search techniques to the problem of physical database design.

Historical Background

Combinatorial search (also referred to as combinatorial optimization) [8] is branch of optimization where the set of feasible solutions (or configurations) to the problem is discrete, and the goal is to find the “best” possible solution. Several well-known problems in computer science such as the Traveling Salesman...

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 4,499.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 6,499.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Recommended Reading

  1. Bruno N, Chaudhuri S. Automatic physical design tuning: a relaxation based approach. In: Proceedings of the ACM Special Interest Group on Management of Data International Conference on Management of Data; 2005.

    Google Scholar 

  2. Chaudhuri S. An overview of query optimization in relational systems. In: Proceedings of the 17th ACM SIGACT-SIGMOD-SIGART Symposium Principles of Database Systems; 1998.

    Google Scholar 

  3. Chaudhuri S, Narasayya V. An efficient cost driven index selection tool for microsoft SQL server. In: Proceedings of the 23rd International Conference on Very Large Data Bases; 1997.

    Google Scholar 

  4. Chaudhuri S, Narasayya V. AutoAdmin “What-If” index analysis utility. In: Proceedings of the ACM Special Interest Group on Management of Data International Conference on Management of Data; 1998.

    Google Scholar 

  5. Chaudhuri S, Narasayya V. Self-tuning database systems: a decade of progress. In: Proceedings of the 33rd International Conference on Very Large Data Bases; 2007.

    Google Scholar 

  6. Graefe G. The Cascades framework for query optimization. Data Eng Bull. 1995;18(3):19–29.

    Google Scholar 

  7. Haas L, Freytag C, Lohman G, Pirahesh H. Extensible query processing in Starburst. In: Proceedings of the ACM Special Interest Group on Management of Data International Conference on Management of Data; 1989.

    Google Scholar 

  8. Papadimitriou CH, Steiglitz K. Combinatorial optimization: algorithms and complexity. Mineola: Dover; 1998.

    MATH  Google Scholar 

  9. Piatetsky-Shapiro G. The optimal selection of secondary indices is NP-complete. ACM SIGMOD Rec. 1983;13(2):72–5.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Surajit Chaudhuri .

Editor information

Editors and Affiliations

Section Editor information

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Science+Business Media, LLC, part of Springer Nature

About this entry

Check for updates. Verify currency and authenticity via CrossMark

Cite this entry

Chaudhuri, S., Narasayya, V., Weikum, G. (2018). Database Tuning Using Combinatorial Search. In: Liu, L., Özsu, M.T. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8265-9_33

Download citation

Publish with us

Policies and ethics