PG-Schema: Schemas for Property Graphs

Author:

Angles Renzo1ORCID,Bonifati Angela2ORCID,Dumbrava Stefania3ORCID,Fletcher George4ORCID,Green Alastair5ORCID,Hidders Jan6ORCID,Li Bei7ORCID,Libkin Leonid8ORCID,Marsault Victor9ORCID,Martens Wim10ORCID,Murlak Filip11ORCID,Plantikow Stefan12ORCID,Savkovic Ognjen13ORCID,Schmidt Michael14ORCID,Sequeda Juan15ORCID,Staworko Slawek16ORCID,Tomaszuk Dominik17ORCID,Voigt Hannes18ORCID,Vrgoc Domagoj19ORCID,Wu Mingxi20ORCID,Zivkovic Dusan21ORCID

Affiliation:

1. Faculty of Engineering, Universidad de Talca, Curicó, Chile

2. Lyon 1 University & Liris CNRS, Villeurbanne, France

3. ENSIIE & SAMOVAR - Institut Polytechnique de Paris, Paris, France

4. Eindhoven University of Technology, Eindhoven, Netherlands

5. LDBC, London, United Kingdom

6. Birkbeck, University of London, London, United Kingdom

7. Google, Mountain View, CA, USA

8. University of Edinburgh; RelationalAI; & ENS, PSL University, Edinburgh, United Kingdom

9. LIGM, Université Gustave Eiffel, CNRS, Champs-sur-Marne, France

10. University of Bayreuth, Bayreuth, Germany

11. University of Warsaw, Warsaw, Poland

12. Neo4j, Berlin, Germany

13. Free University of Bozen-Bolzano, Bolzano, Italy

14. Amazon Web Services, Seattle, WA, USA

15. data.world, Austin, TX, USA

16. RelationalAI & Univ. Lille, CNRS, UMR 9189 CRIStAL, Berkeley, CA, USA

17. University of Bialystok, Bialystok, Poland

18. Neo4j, Leipzig, Germany

19. University of Zagreb & PUC Chile, Zagreb, Croatia

20. TigerGraph, Redwood City, CA, USA

21. Integral Data Solutions, London, United Kingdom

Abstract

Property graphs have reached a high level of maturity, witnessed by multiple robust graph database systems as well as the ongoing ISO standardization effort aiming at creating a new standard Graph Query Language (GQL). Yet, despite documented demand, schema support is limited both in existing systems and in the first version of the GQL Standard. It is anticipated that the second version of the GQL Standard will include a rich DDL. Aiming to inspire the development of GQL and enhance the capabilities of graph database systems, we propose PG-Schema, a simple yet powerful formalism for specifying property graph schemas. It features PG-Schema with flexible type definitions supporting multi-inheritance, as well as expressive constraints based on the recently proposed PG-Keys formalism. We provide the formal syntax and semantics of PG-Schema, which meet principled design requirements grounded in contemporary property graph management scenarios, and offer a detailed comparison of its features with those of existing schema languages and graph database systems.

Funder

Deutsche Forschungsgemeinschaft

Narodowe Centrum Nauki

Agence Nationale de la Recherche

Agencia Nacional de Investigación y Desarrollo

Publisher

Association for Computing Machinery (ACM)

Reference60 articles.

1. ISO/ IEC 39075. 2023. Information technology - Database languages - GQL. Standard . International Organization for Standardization , Geneva, CH . ISO/IEC 39075. 2023. Information technology - Database languages - GQL. Standard. International Organization for Standardization, Geneva, CH.

2. ISO/ IEC 9075--16. 2022. Information technology - Database languages SQL - Part 16: Property Graph Queries (SQL/PGQ). Standard . International Organization for Standardization , Geneva, CH . ISO/IEC 9075--16. 2022. Information technology - Database languages SQL - Part 16: Property Graph Queries (SQL/PGQ). Standard. International Organization for Standardization, Geneva, CH.

3. AgensGraph. 2022. AgensGraph. https://bitnine.net/agensgraph (visited: 2022--11). AgensGraph. 2022. AgensGraph. https://bitnine.net/agensgraph (visited: 2022--11).

4. G-CORE

5. Renzo Angles , Angela Bonifati , Stefania Dumbrava , George Fletcher , Keith W. Hare , Jan Hidders , Victor E. Lee , Bei Li , Leonid Libkin , Wim Martens , Filip Murlak , Josh Perryman , Ognjen Savkovic , Michael Schmidt , Juan F. Sequeda , Slawek Staworko , and Dominik Tomaszuk . 2021 . PG-Keys: Keys for Property Graphs. In International Conference on Management of Data (SIGMOD). ACM, 2423--2436 . Renzo Angles, Angela Bonifati, Stefania Dumbrava, George Fletcher, Keith W. Hare, Jan Hidders, Victor E. Lee, Bei Li, Leonid Libkin, Wim Martens, Filip Murlak, Josh Perryman, Ognjen Savkovic, Michael Schmidt, Juan F. Sequeda, Slawek Staworko, and Dominik Tomaszuk. 2021. PG-Keys: Keys for Property Graphs. In International Conference on Management of Data (SIGMOD). ACM, 2423--2436.

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