Skip to main content

Application-Level Tuning

  • Living reference work entry
  • First Online:
  • 44 Accesses

Synonyms

Query tuning; Tuning the application interface

Definition

An under-appreciated tuning principle asserts start-up costs are high; running costs are low. When applied to the application level, this principle suggests performance of a few bulk operations that manipulate and transport a lot of data rather than many small operations that act on small amounts of data. To make this concrete, this entry discusses several examples and draws lessons from each.

Historical Background

Application-level tuning is about changing the way a task is performed. This entails finding a better algorithm or finding a better way to handle the database. The first is difficult to automate, but the latter goes back to the very first use of the relational databases. Whether on disk or in main memory, databases have generally always performed best when a single statement accesses all and exactly the data needed for a task.

Foundations

Application-level tuning has the nice property that it often is a pure...

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

Recommended Reading

  1. Celko J. Joe celko’s SQL for smarties: advanced SQL programming. 3rd ed. San Francisco: Morgan Kaufmann; 2005.

    Google Scholar 

  2. Shasha D, Bonnet P. Database tuning: principles, experiments and troubleshooting techniques. San Francisco: Morgan Kaufmann; 2002.

    Google Scholar 

  3. Tow D. SQL tuning. Beijing: O’Reilly; 2003.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Philippe Bonnet .

Editor information

Editors and Affiliations

Section Editor information

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer Science+Business Media LLC

About this entry

Cite this entry

Bonnet, P., Shasha, D. (2016). Application-Level Tuning. In: Liu, L., Özsu, M. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4899-7993-3_805-2

Download citation

  • DOI: https://doi.org/10.1007/978-1-4899-7993-3_805-2

  • Received:

  • Accepted:

  • Published:

  • Publisher Name: Springer, New York, NY

  • Online ISBN: 978-1-4899-7993-3

  • eBook Packages: Springer Reference Computer SciencesReference Module Computer Science and Engineering

Publish with us

Policies and ethics