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

Résultats de recherche: Contribution dans un livre/un catalogue/un rapport/dans les actes d'une conférence › Article dans les actes d'une conférence/un colloque

Résumé

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.

langue originale	Anglais
titre	SANER 2017 - 24th IEEE International Conference on Software Analysis, Evolution, and Reengineering
Editeur	Institute of Electrical and Electronics Engineers Inc.
Pages	457-461
Nombre de pages	5
ISBN (Electronique)	9781509055012
Les DOIs	https://doi.org/10.1109/saner.2017.7884653
Etat de la publication	Publié - 21 mars 2017
Evénement	24th IEEE International Conference on Software Analysis, Evolution, and Reengineering, SANER 2017 - Klagenfurt, Autriche Durée: 21 févr. 2017 → 24 févr. 2017

Série de publications

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

Une conférence

Une conférence	24th IEEE International Conference on Software Analysis, Evolution, and Reengineering, SANER 2017
Pays/Territoire	Autriche
La ville	Klagenfurt
période	21/02/17 → 24/02/17

Accès au document

10.1109/saner.2017.7884653

Autres fichiers et liens

Link to publication in Scopus

Analyzing, Understanding and Supporting the Evolution of Dynamic and Heterogeneous Data-Intensive Software Systems
Auteur: Meurice, L., 22 juin 2017
Superviseur: Cleve, A. (Promoteur), Englebert, V. (Président), Lanza, M. (Personne externe) (Jury), Mens, T. (Personne externe) (Jury), Frenay, B. (Jury) & Vanhoof, W. (Jury)
Student thesis: Doc types › Docteur en Sciences

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Contient cette citation

Meurice, L., & Cleve, A. (2017). Supporting schema evolution in schema-less NoSQL data stores. Dans SANER 2017 - 24th IEEE International Conference on Software Analysis, Evolution, and Reengineering (p. 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. p. 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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Meurice, L & Cleve, A 2017, Supporting schema evolution in schema-less NoSQL data stores. Dans 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., p. 457-461, 24th IEEE International Conference on Software Analysis, Evolution, and Reengineering, SANER 2017, Klagenfurt, Autriche, 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)).

Résultats de recherche: Contribution dans un livre/un catalogue/un rapport/dans les actes d'une conférence › Article dans les actes d'une conférence/un colloque

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Meurice L , Cleve A. Supporting schema evolution in schema-less NoSQL data stores. Dans 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

Résumé

Série de publications

Une conférence

Accès au document

Autres fichiers et liens

Empreinte digitale

Thèses de l'étudiant

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

Contient cette citation