Versioning schemas of JSON-based conventional and temporal big data through high-level operations in the τJSchema framework
by Zouhaier Brahmia; Safa Brahmia; Fabio Grandi; Rafik Bouaziz
International Journal of Cloud Computing (IJCC), Vol. 10, No. 5/6, 2021

Abstract: τJSchema is a framework for managing time-varying JSON-based big data, in temporal JSON NoSQL databases, through the use of a temporal JSON schema. This latter ties together a conventional JSON schema and its corresponding temporal logical and temporal physical characteristics set. In our previous work, we have proposed low-level operations for changing the components of a τJSchema schema, which are not very friendly for users (database administrators) as they are too primitive. In this paper, we propose three sets of high-level operations for changing the temporal JSON schema, the conventional JSON schema, and the temporal characteristics. These high-level operations are based on our previously proposed low-level operations. They are also consistency-preserving and more user-friendly than the low-level ones. To improve the readability of their definitions, we have divided these new operations into two classes: basic high-level operations, which cannot be defined through other basic high-level operations, and complex ones.

Online publication date: Wed, 19-Jan-2022

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