Title: Versioning temporal characteristics of JSON-based big data via the τJSchema framework

Authors: Safa Brahmia; Zouhaier Brahmia; Fabio Grandi; Rafik Bouaziz

Addresses: Department of Computer Science, Faculty of Economics and Management, University of Sfax, Road of the Aerodrome, Km 4.5, P.O. Box 1088, 3018 Sfax, Tunisia ' Department of Computer Science, Faculty of Economics and Management, University of Sfax, Road of the Aerodrome, Km 4.5, P.O. Box 1088, 3018 Sfax, Tunisia ' DISI – Department of Computer Science and Engineering, University of Bologna, Viale Risorgimento, 2, I-40136 Bologna BO, Italy ' Department of Computer Science, Faculty of Economics and Management, University of Sfax, Road of the Aerodrome, Km 4.5, P.O. Box 1088, 3018 Sfax, Tunisia

Abstract: In previous work, we have proposed the use of a framework, named τJSchema (temporal JSON schema), for the definition and validation of temporal JSON documents that conform to a temporal JSON schema. A τJSchema schema is composed of a conventional (i.e., non-temporal) JSON schema, annotated with a set of temporal logical and temporal physical characteristics. Subsequently, we have extended τJSchema to support versioning of conventional JSON schemas. In this work, we complete the picture by extending our framework to also support versioning of temporal characteristics. In fact, we propose a suitable versioning technique and provide a complete set of low-level change operations for the maintenance of these characteristics; for each operation, we define its arguments and its operational semantics. With this extension, τJSchema provides a full support of temporal versioning of JSON-based big data at both instance and schema levels.

Keywords: big data; NoSQL; JSON; JSON schema; τJSchema; conventional JSON schema; temporal JSON schema; temporal logical characteristic; temporal physical characteristic; schema change; schema versioning.

DOI: 10.1504/IJCC.2021.120387

International Journal of Cloud Computing, 2021 Vol.10 No.5/6, pp.406 - 441

Received: 15 Jan 2019
Accepted: 27 Sep 2019
Published online: 19 Jan 2022 *

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