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Multi-query Optimization

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Encyclopedia of Database Systems

Synonyms

Common subexpression elimination; Global query optimization; Multiple query optimization; Optimization of DAG-structured query evaluation plans

Definition

Multi-query optimization is the task of generating an optimal combined evaluation plan for a collection of multiple queries. Unlike traditional single-query optimization, multi-query optimization can exploit commonalities between queries, for example by computing common subexpressions (i.e., subexpressions that are shared by multiple queries) once and reusing them, or by sharing scans of relations from disk.

Historical Background

Early work on multi-query optimization includes work by Sellis [11], Park and Segev [7] and Rosenthal and Chakravarthy [9]. Shim et al. [12] consider heuristics to reduce the cost of multi-query optimization. However, even with heuristics, these approaches are extremely expensive for situations where each query may have a large number of alternative evaluation plans.

Subramanian and Venkataraman [13...

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Recommended Reading

  1. Dalvi NN, Sanghai SK, Roy P, Sudarshan S. Pipelining in multi-query optimization. J Comput Syst Sci. 2003;66(4):728–62.

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  11. Sellis TK. Multiple query optimization. ACM Trans Database Syst. 1988;13(1):23–52.

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Author information

Authors and Affiliations

  1. Sclera, Inc., Walnut, CA, USA

    Prasan Roy

  2. Indian Institute of Technology, Bombay, India

    S. Sudarshan

Authors
  1. Prasan Roy
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  2. S. Sudarshan
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Corresponding author

Correspondence to Prasan Roy .

Editor information

Editors and Affiliations

  1. Georgia Institute of Technology College of Computing, Atlanta, GA, USA

    Ling Liu

  2. University of Waterloo School of Computer Science, Waterloo, ON, Canada

    M. Tamer Özsu

Section Editor information

  1. Department of Computer Science and Engineering, University of Ioannina, Ioannina, Greece

    Evaggelia Pitoura

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Roy, P., Sudarshan, S. (2018). Multi-query Optimization. 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_239

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