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 | |
| 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 |
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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
TY - GEN
T1 - Supporting schema evolution in schema-less NoSQL data stores
AU - Meurice, Loup
AU - Cleve, Anthony
PY - 2017/3/21
Y1 - 2017/3/21
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85018415398&partnerID=8YFLogxK
U2 - 10.1109/SANER.2017.7884653
DO - 10.1109/SANER.2017.7884653
M3 - Conference contribution
SP - 457
EP - 461
BT - SANER 2017 - 24th IEEE International Conference on Software Analysis, Evolution, and Reengineering
PB - Institute of Electrical and Electronics Engineers Inc.
ER -