Skip to main content

Physical Database Design for Relational Databases

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

Synonyms

Clustering; Database design; Database implementation; Database materialization; Indexing; Materialized query tables; Materialized views; Multidimensional clustering; Range partitioning; Table design; Table normalization

Definition

Physical database design represents the materialization of a database into an actual system. While logical design can be performed independently of the eventual database platform, many physical database attributes depend on the specifics and semantics of the target DBMS. Physical design is performed in two stages:

  1. 1.

    Conversion of the logical design into table definitions (often performed by an application developer): includes pre-deployment design, table definitions, normalization, primary and foreign key relationships, and basic indexing.

  2. 2.

    Post deployment physical database design (often performed by a database administrator): includes improving performance, reducing I/O, and streamlining administration tasks.

Generally speaking, physical database...

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

Access this chapter

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. Astrahan MM, Blasgen MW, Chamberlin DD, Jim Gray W, King FII, Lindsay BG, Lorie RA, Mehl JW, Price TG, Putzolu GR, Schkolnick M, Selinger PG, Slutz DR, Strong HR, Tiberio P, Traiger IL, Bradford W, Yost WRA. System R: a relational data base management system. IEEE Comput. 1979;12(5):42–8.

    Article  Google Scholar 

  2. Bayer R, McCreight EM. Organization and maintenance of large ordered indexes. SIGFIDET Workshop; 1970. p. 107–41.

    Google Scholar 

  3. Finkelstein S, Schikolnick M, Tiberio P. Physical database design for relational databases. ACM Trans Database Syst. 1988;13(1):91–128.

    Article  Google Scholar 

  4. Jun R, Chun Zhang, Megiddo N, Lohman GM. Automating physical database design in a parallel database. In: Proceedings of the ACM SIGMOD International Conference on Management of Data; 2002. p. 558–69.

    Google Scholar 

  5. Lightstone S, Bishwaranjan B. Automated design of multi-dimensional clustering tables for relational databases. In: Proceedings of the 30th International Conference on Very Large Data Bases; 2004. p. 1170–181.

    Chapter  Google Scholar 

  6. Lightstone S, Teory T, Nadeau T. Physical database design: the database professional’s guide to exploiting indexes, views, storage, and more. Morgan Kaufmann; 2007.

    Google Scholar 

  7. Markos Z, Cochrane R, Lapis G, Hamid P, Monica U. Answering complex SQL queries using automatic summary tables. In: Proceedings of the ACM SIGMOD International Conference on Management of Data; 2000. p. 105–16.

    Google Scholar 

  8. Sanjay A, Surajit C, Narasayya VR. Automated selection of materialized views and indexes in SQL databases. In: Proceedings of the 26th International Conference on Very Large Data Bases; 2000. p. 496–505.

    Google Scholar 

  9. Sriram P, Bishwaranjan B, Malkemus T, Cranston L, Huras M. Multi-dimensional clustering: a new data layout scheme in DB2. In: Proceedings of the ACM SIGMOD International Conference on Management of Data. p. 637–41.

    Google Scholar 

  10. Surajit C, Narasayya VR. AutoAdmin “What-if” index analysis utility. In: Proceedings of the ACM SIGMOD International Conference on Management of Data; 1998. p. 367–78.

    Google Scholar 

  11. Surajit C, Narasayya VR. Microsoft index tuning wizard for SQL Server 7.0. In: Proceedings of the ACM SIGMOD International Conference on Management of Data; 1998. p. 553–4.

    Google Scholar 

  12. Teorey T, Lightstone S, Nadeau T. Database modeling & design: logical design. 4th ed. Morgan Kaufmann; 2005.

    Google Scholar 

  13. Zilio DC, Jun R, Lightstone S, Lohman GM, Storm AJ, Garcia-Arellano Christian, Fadden Scott. DB2 design advisor: integrated automatic physical database design. In: Proceedings of the 30th International Conference on Very Large Data Bases; 2004. p. 1087–97.

    Google Scholar 

  14. Zilio DC, Zuzarte C, Lightstone S, Wenbin Ma, Lohman GM, Cochrane R, Hamid P, Latha SC, Gryz J, Alton E, Liang D, Valentin G. Recommending materialized views and indexes with IBM DB2 design advisor. In: Proceedings of the 1st International Conference on Autonomic Computing; 2004. p. 180–8.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sam S. Lightstone .

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

Lightstone, S.S. (2018). Physical Database Design for Relational Databases. 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_644

Download citation

Publish with us

Policies and ethics