Skip to main content
SpringerLink
Log in
Book cover

Encyclopedia of Database Systems pp 2038–2040Cite as

Parallel Query Processing

  • Reference work entry

Synonyms

Multiprocessor query processing

Definition

Parallel query processing designates the transformation of high-level queries into execution plans that can be efficiently executed in parallel, on a multiprocessor computer. This is achieved by exploiting the way data is placed in parallel and the various execution techniques offered by the parallel database system. As in query processing, the transformation from the query into the execution plan to be executed must be both correct and yield efficient execution. Correctness is obtained by using well-defined mappings in some algebra, e.g., relational algebra, which provides a good abstraction of the execution system. Efficient execution is crucial for high-performance, e.g., good query response time or high query throughput. It is obtained by exploiting efficient parallel execution techniques and query optimization which selects the most efficient parallel execution plan among all equivalent plans.

The main forms of parallelism which...

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

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   2,500.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Recommended Reading

  1. Graefe G. Query evaluation techniques for large databases. ACM Comput. Surv., 25(2):73–170, 1993.

    Google Scholar 

  2. Kossmann D. The state of the art in distributed query processing. ACM Comput. Surv., 32(4):422–469, 2000.

    Google Scholar 

  3. Lanzelotte R., Valduriez P., Zait M., and Ziane M. Industrial-strenght parallel query optimization: issues and lessons. Inf. Sys., (19)4:311–330, 1994.

    Google Scholar 

  4. Özsu M.T. and Valduriez P. Principles of distributed database systems. Prentice-Hall, 2nd edn, 1999.

    Google Scholar 

  5. Valduriez P. and Pacitti E. Parallel database systems. In Handbook of Database Technology, J. Hammer, M. Scheider (eds.). CRC, USA, 2007.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. University of Nantes, Nantes, Cedex, France

    Esther Pacitti

Authors
  1. Esther Pacitti
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. College of Computing, Georgia Institute of Technology, 266 Ferst Drive, 30332-0765, Atlanta, GA, USA

    LING LIU (Professor) (Professor)

  2. Database Research Group David R. Cheriton School of Computer Science, University of Waterloo, 200 University Avenue West, N2L 3G1, Waterloo, ON, Canada

    M. TAMER ÖZSU (Professor and Director, University Research Chair) (Professor and Director, University Research Chair)

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer Science+Business Media, LLC

About this entry

Cite this entry

Pacitti, E. (2009). Parallel Query Processing. In: LIU, L., ÖZSU, M.T. (eds) Encyclopedia of Database Systems. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-39940-9_1077

Download citation

Publish with us

Policies and ethics

Search

Navigation