• search hit 47 of 56
Back to Result List

Data dependencies for query optimization

  • Effective query optimization is a core feature of any database management system. While most query optimization techniques make use of simple metadata, such as cardinalities and other basic statistics, other optimization techniques are based on more advanced metadata including data dependencies, such as functional, uniqueness, order, or inclusion dependencies. This survey provides an overview, intuitive descriptions, and classifications of query optimization and execution strategies that are enabled by data dependencies. We consider the most popular types of data dependencies and focus on optimization strategies that target the optimization of relational database queries. The survey supports database vendors to identify optimization opportunities as well as DBMS researchers to find related work and open research questions.

Export metadata

Additional Services

Search Google Scholar Statistics
Metadaten
Author details:Jan KoßmannORCiDGND, Thorsten PapenbrockORCiDGND, Felix NaumannORCiDGND
DOI:https://doi.org/10.1007/s00778-021-00676-3
ISSN:1066-8888
ISSN:0949-877X
Title of parent work (English):The VLDB journal : the international journal on very large data bases / publ. on behalf of the VLDB Endowment
Subtitle (English):a survey
Publisher:Springer
Place of publishing:Berlin ; Heidelberg ; New York
Publication type:Article
Language:English
Date of first publication:2021/06/14
Publication year:2021
Release date:2023/11/21
Tag:Data dependencies; Data profiling; Functional dependencies; Inclusion dependencies; Order dependencies; Query execution; Query optimization; Relational data; SQL; Unique column combinations
Volume:31
Issue:1
Number of pages:22
First page:1
Last Page:22
Funding institution:Projekt DEAL
Organizational units:An-Institute / Hasso-Plattner-Institut für Digital Engineering gGmbH
DDC classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Peer review:Referiert
Publishing method:Open Access / Hybrid Open-Access
License (German):License LogoCC-BY - Namensnennung 4.0 International
External remark:Correction: https://doi.org/10.1007/s00778-021-00710-4
Accept ✔
This website uses technically necessary session cookies. By continuing to use the website, you agree to this. You can find our privacy policy here.