Desbordante: A Framework for Exploring Limits of Dependency Discovery Algorithms

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Abstract

Automatic discovery of various types of database dependencies (functional, inclusion, matching, and others) is a topic that has received a great deal of attention in the recent years. The problem is formulated as following: having an unexplored dataset, find all dependencies that hold on this data. Such problem formulation arises in business and scientific applications and is aimed at the discovery of patterns in data. Metanome is a pioneering platform which was used to benchmark existing and develop new dependency discovery algorithms. It is notable since it was the first attempt to unify all existing discovery algorithms inside a single suite. However, it should be considered a research prototype rather than a system ready for industrial use. The core reason for this is the choice of the implementation platform (Java) and the absence of optimizations. In this paper we address the problem of high-performance dependency discovery. We present Desbordante - a platform that is intended to make the most of the available computational resources and thus to be more suitable for industrial use. Finally, we evaluate our system experimentally and pose a number of research questions related to the obtained performance and justify its necessity. More precisely we examine 1) whether the Java implementation is indeed worse than the C++ one, 2) is it possible to use simple tricks to improve Metanome's performance, 3) what are the exact reasons behind the performance gap, and 4) what are the user-facing benefits of switching the implementations.

Original languageEnglish
Title of host publicationProceedings of the 29th Conference of Open Innovations Association FRUCT, FRUCT 2021
EditorsSergey Balandin, Yevgeni Koucheryavy, Tatiana Tyutina
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages344-354
Number of pages11
ISBN (Electronic)9789526924458
DOIs
StatePublished - 12 May 2021
Event29th Conference of Open Innovations Association FRUCT, FRUCT 2021 - Virtual, Tampere, Finland
Duration: 12 May 202114 May 2021

Publication series

NameConference of Open Innovation Association, FRUCT
Volume2021-May
ISSN (Print)2305-7254

Conference

Conference29th Conference of Open Innovations Association FRUCT, FRUCT 2021
Country/TerritoryFinland
CityVirtual, Tampere
Period12/05/2114/05/21

Scopus subject areas

  • Computer Science(all)
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Desbordante: A Framework for Exploring Limits of Dependency Discovery Algorithms'. Together they form a unique fingerprint.

Cite this