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dc.contributor.authorHewasinghage, Moditha Lakshan Dharmasir
dc.contributor.authorNadal Francesch, Sergi
dc.contributor.authorAbelló Gamazo, Alberto
dc.contributor.otherUniversitat Politècnica de Catalunya. Doctorat Erasmus Mundus en Tecnologies de la Informació per a la Intel·ligència Empresarial
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Serveis i Sistemes d'Informació
dc.identifier.citationHewasinghage, M.; Nadal, S.; Abelló, A. On the performance impact of using JSON, beyond impedance mismatch. A: Conference on Advances in Databases and Information Systems. "New Trends in Databases and Information Systems, ADBIS 2020 short Papers: Lyon, France, August 25–27, 2020: proceedings". Berlín: Springer, 2020, p. 73-83. ISBN 978-3-030-54623-6. DOI 10.1007/978-3-030-54623-6_7.
dc.description.abstractNOSQL database management systems adopt semi-structured data models, such as JSON, to easily accommodate schema evolution and overcome the overhead generated from transforming internal structures to tabular data (i.e., impedance mismatch). There exist multiple, and equivalent, ways to physically represent semi-structured data, but there is a lack of evidence about the potential impact on space and query performance. In this paper, we embark on the task of quantifying that, precisely for document stores. We empirically compare multiple ways of representing semi-structured data, which allows us to derive a set of guidelines for efficient physical database design considering both JSON and relational options in the same palette.
dc.description.sponsorshipPartly funded by the European Commission through the programme “EM IT4BI-DC”.
dc.format.extent11 p.
dc.subjectÀrees temàtiques de la UPC::Informàtica::Sistemes d'informació
dc.subject.lcshInformation storage and retrieval systems
dc.subject.otherInformation systems
dc.subject.otherInformation use
dc.subject.otherManagement information systems
dc.subject.otherQuery processing
dc.titleOn the performance impact of using JSON, beyond impedance mismatch
dc.typeConference report
dc.subject.lemacInformació -- Sistemes d'emmagatzematge i recuperació
dc.contributor.groupUniversitat Politècnica de Catalunya. inSSIDE - integrated Software, Service, Information and Data Engineering
dc.description.peerreviewedPeer Reviewed
dc.rights.accessOpen Access
dc.description.versionPostprint (author's final draft)
local.citation.authorHewasinghage, M.; Nadal, S.; Abelló, A.
local.citation.contributorConference on Advances in Databases and Information Systems
local.citation.publicationNameNew Trends in Databases and Information Systems, ADBIS 2020 short Papers: Lyon, France, August 25–27, 2020: proceedings

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