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Database Theory in Action: Search-Based Program Optimization

Authors Yihong Zhang , Dan Suciu , Yisu Remy Wang , Max Willsey

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Author Details

Yihong Zhang
  • University of Washington, Seattle, WA, USA
Dan Suciu
  • University of Washington, Seattle, WA, USA
Yisu Remy Wang
  • University of California, Los Angeles, CA, USA
Max Willsey
  • University of California, Berkeley, CA, USA

Funding

This work is supported by NSF IIS 2314527 and NSF SHF 2312195, and is conducted while some of the authors participated in the Simons Program on Logic and Algorithms in Databases and AI.

Cite As Get BibTex

Yihong Zhang, Dan Suciu, Yisu Remy Wang, and Max Willsey. Database Theory in Action: Search-Based Program Optimization. In 28th International Conference on Database Theory (ICDT 2025). Leibniz International Proceedings in Informatics (LIPIcs), Volume 328, pp. 34:1-34:6, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025) https://doi.org/10.4230/LIPIcs.ICDT.2025.34

Abstract

Recent work in programming languages developed an approach to term rewritings based on equality saturation (EqSat), which, instead of applying destructively the rewrite rules, maintains all equivalent expressions in a structure called an E-graph. This paper describes two surprising connections between EqSat and databases, going both ways. On one hand equality saturation can be viewed as a query evaluation problem, with great benefits. On the other hand, most sophisticated SQL query optimizers are based on the Volcano/Cascades framework which, we explain, is a variant of EqSat.

Subject Classification

ACM Subject Classification
  • Theory of computation → Equational logic and rewriting
  • Theory of computation → Database query processing and optimization (theory)
Keywords
  • Query optimization
  • program optimization
  • Cascades framework
  • equality saturation
  • Datalog

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