Supporting schema evolution in schema-less NoSQL data stores

Loup Meurice; Anthony Cleve

doi:10.1109/SANER.2017.7884653

Supporting schema evolution in schema-less NoSQL data stores

Research output: Contribution in Book/Catalog/Report/Conference proceeding › Conference contribution

Abstract

NoSQL data stores are becoming popular due to their schema-less nature. They offer a high level of flexibility, since they do not require to declare a global schema. Thus, the data model is maintained within the application source code. However, due to this flexibility, developers have to struggle with a growing data structure entropy and to manage legacy data. Moreover, support to schema evolution is lacking, which may lead to runtime errors or irretrievable data loss, if not properly handled. This paper presents an approach to support the evolution of a schema-less NoSQL data store by analyzing the application source code and its history. We motivate this approach on a subject system and explain how useful it is to understand the present database structure and facilitate future developments.

Original language	English
Title of host publication	SANER 2017 - 24th IEEE International Conference on Software Analysis, Evolution, and Reengineering
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	457-461
Number of pages	5
ISBN (Electronic)	9781509055012
DOIs	https://doi.org/10.1109/SANER.2017.7884653
Publication status	Published - 21 Mar 2017
Event	24th IEEE International Conference on Software Analysis, Evolution, and Reengineering, SANER 2017 - Klagenfurt, Austria Duration: 21 Feb 2017 → 24 Feb 2017

Conference

Conference	24th IEEE International Conference on Software Analysis, Evolution, and Reengineering, SANER 2017
Country	Austria
City	Klagenfurt
Period	21/02/17 → 24/02/17

Access to Document

10.1109/SANER.2017.7884653

Link to publication in Scopus

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Student Theses

Analyzing, Understanding and Supporting the Evolution of Dynamic and Heterogeneous Data-Intensive Software Systems

Author: Meurice, L., 22 Jun 2017

Supervisor: Cleve, A. (Supervisor), Englebert, V. (President), Lanza, M. (External person) (Jury), Mens, T. (External person) (Jury), Frenay, B. (Jury) & Vanhoof, W. (Jury)

Student thesis: Doc types › Doctor of Sciences

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Cite this

Meurice, L., & Cleve, A. (2017). Supporting schema evolution in schema-less NoSQL data stores. In SANER 2017 - 24th IEEE International Conference on Software Analysis, Evolution, and Reengineering (pp. 457-461). [7884653] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SANER.2017.7884653

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Meurice, L & Cleve, A 2017, Supporting schema evolution in schema-less NoSQL data stores. in SANER 2017 - 24th IEEE International Conference on Software Analysis, Evolution, and Reengineering., 7884653, Institute of Electrical and Electronics Engineers Inc., pp. 457-461, 24th IEEE International Conference on Software Analysis, Evolution, and Reengineering, SANER 2017, Klagenfurt, Austria, 21/02/17. https://doi.org/10.1109/SANER.2017.7884653

Supporting schema evolution in schema-less NoSQL data stores. / Meurice, Loup ; Cleve, Anthony.

SANER 2017 - 24th IEEE International Conference on Software Analysis, Evolution, and Reengineering. Institute of Electrical and Electronics Engineers Inc., 2017. p. 457-461 7884653.

Research output: Contribution in Book/Catalog/Report/Conference proceeding › Conference contribution

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