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Skew strikes back: New developments in the theory of join algorithms

  • SUNY Buffalo
  • Stanford University

Research output: Contribution to journalArticlepeer-review

178 Scopus citations

Abstract

An overview of recent developments that establish non-trivial bounds for all join queries and algorithms that meet these bounds, which are called as worst-case optimal join algorithms, is presented. The study describes recent results on join algorithms that have provable worst-case optimality runtime guarantees. Much of this progress can be understood by thinking about a simple join evaluation problem that we illustrate with the so-called triangle query. The run time of join algorithms in terms of the input data is measured, assuming the input query has constant size; this is known as the data complexity measure, which is standard in database theory.

Original languageEnglish
Pages (from-to)5-16
Number of pages12
JournalSIGMOD Record
Volume42
Issue number4
DOIs
StatePublished - Dec 2013

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