A Researcher's Digest of GQL

Nadime Francis*, Amélie Gheerbrant*, Paolo Guagliardo*, Leonid Libkin*, Victor Marsault*, Wim Martens*, Filip Murlak*, Liat Peterfreund*, Alexandra Rogova*, Domagoj Vrgoč*

*Corresponding author for this work

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

17 Scopus citations

Abstract

GQL (Graph Query Language) is being developed as a new ISO standard for graph query languages to play the same role for graph databases as SQL plays for relational. In parallel, an extension of SQL for querying property graphs, SQL/PGQ, is added to the SQL standard; it shares the graph pattern matching functionality with GQL. Both standards (not yet published) are hard-to-understand specifications of hundreds of pages. The goal of this paper is to present a digest of the language that is easy for the research community to understand, and thus to initiate research on these future standards for querying graphs. The paper concentrates on pattern matching features shared by GQL and SQL/PGQ, as well as querying facilities of GQL.

Original languageEnglish
Title of host publication26th International Conference on Database Theory, ICDT 2023
EditorsFloris Geerts, Brecht Vandevoort
PublisherSchloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
ISBN (Electronic)9783959772709
DOIs
StatePublished - 1 Mar 2023
Externally publishedYes
Event26th International Conference on Database Theory, ICDT 2023 - Ioannina, Greece
Duration: 28 Mar 202331 Mar 2023

Publication series

NameLeibniz International Proceedings in Informatics, LIPIcs
Volume255
ISSN (Print)1868-8969

Conference

Conference26th International Conference on Database Theory, ICDT 2023
Country/TerritoryGreece
CityIoannina
Period28/03/2331/03/23

Bibliographical note

Publisher Copyright:
© Nadime Francis, Amélie Gheerbrant, Paolo Guagliardo, Leonid Libkin, Victor Marsault, Wim Martens, Filip Murlak, Liat Peterfreund, Alexandra Rogova, and Domagoj Vrgoč; licensed under Creative Commons License CC-BY 4.0.

Keywords

  • GQL
  • Graph Database
  • Multi-Graph
  • Pattern matching
  • Property Graph
  • Query Language

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