Schema Validation and Evolution for Graph Databases
February 18, 2019 Β· Declared Dead Β· π International Conference on Conceptual Modeling
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Authors
Angela Bonifati, Peter Furniss, Alastair Green, Russ Harmer, Eugenia Oshurko, Hannes Voigt
arXiv ID
1902.06427
Category
cs.DB: Databases
Citations
40
Venue
International Conference on Conceptual Modeling
Last Checked
6 months ago
Abstract
Despite the maturity of commercial graph databases, little consensus has been reached so far on the standardization of data definition languages (DDLs) for property graphs (PG). The discussion on the characteristics of PG schemas is ongoing in many standardization and community groups. Although some basic aspects of a schema are already present in Neo4j 3.5, like in most commercial graph databases, full support is missing allowing to constraint property graphs with more or less flexibility. In this paper, we focus on two different perspectives from which a PG schema should be considered, as being descriptive or prescriptive, and we show how it would be possible to switch from one to another as the application under development gains more stability. Apart from proposing concise schema DDL inspired by Cypher syntax, we show how schema validation can be enforced through homomorphisms between PG schemas and PG instances; and how schema evolution can be described through the use of graph rewriting operations. Our prototypical implementation demonstrates feasibility and shows the need of offering high-level query primitives to accommodate flexible graph schema requirements as showcased in our work.
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