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

Publication series

Name	2017 IEEE 24th International Conference on Software Analysis, Evolution and Reengineering (SANER)

Conference

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

Access to Document

10.1109/saner.2017.7884653

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). Article 7884653 (2017 IEEE 24th International Conference on Software Analysis, Evolution and Reengineering (SANER)). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/saner.2017.7884653

Meurice, Loup ; Cleve, Anthony. / Supporting schema evolution in schema-less NoSQL data stores. SANER 2017 - 24th IEEE International Conference on Software Analysis, Evolution, and Reengineering. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 457-461 (2017 IEEE 24th International Conference on Software Analysis, Evolution and Reengineering (SANER)).

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title = "Supporting schema evolution in schema-less NoSQL data stores",

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.",

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note = "24th IEEE International Conference on Software Analysis, Evolution, and Reengineering, SANER 2017 ; Conference date: 21-02-2017 Through 24-02-2017",

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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, 2017 IEEE 24th International Conference on Software Analysis, Evolution and Reengineering (SANER), 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 (2017 IEEE 24th International Conference on Software Analysis, Evolution and Reengineering (SANER)).

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

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

Supporting schema evolution in schema-less NoSQL data stores

Abstract

Publication series

Conference

Access to Document

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Fingerprint

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

Cite this

Supporting schema evolution in schema-less NoSQL data stores

Abstract

Publication series

Conference

Access to Document

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Student theses

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

Cite this