Mortadelo: Automatic generation of NoSQL stores from platform-independent data models
In the last decade, several NoSQL systems have emerged as a response to the scalability problems manifested by classical relational databases when used in Big Data contexts. These NoSQL systems appeared first as physical-level solutions, initially lacking any design methodologies. After this initial...
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| Published in: | Future generation computer systems Vol. 105; pp. 455 - 474 |
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| Main Authors: | , , , , |
| Format: | Journal Article |
| Language: | English |
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Elsevier B.V
01.04.2020
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| ISSN: | 0167-739X |
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| Abstract | In the last decade, several NoSQL systems have emerged as a response to the scalability problems manifested by classical relational databases when used in Big Data contexts. These NoSQL systems appeared first as physical-level solutions, initially lacking any design methodologies. After this initial batch of systems, several design methodologies for NoSQL have been recently created. Nevertheless, most of these methodologies target just one NoSQL paradigm. In addition, as each methodology uses a different conceptual modeling approach, NoSQL database designers would need to remake conceptual models as they switch from one NoSQL paradigm to another. Moreover, most of these design processes provide just a set of design heuristics and guidelines that database designers need to apply manually, which can be a time-consuming and error-prone process. To overcome these limitations, this article presents Mortadelo, a model-driven NoSQL database design process where, from a high-level conceptual model, independent of any specific NoSQL paradigm, an implementation for a concrete NoSQL database system can be automatically generated. Moreover, this database generation process can be customized, so that some design trade-offs can be managed differently according to each context needs. We evaluated Mortadelo’s capabilities by generating database implementations for several typical NoSQL case studies. In these cases, Mortadelo was able to generate implementations for the Cassandra and MongoDB NoSQL systems from the same conceptual data model. These implementations were similar to the ones generated by design methodologies specifically developed for a single paradigm. Therefore, design quality is not sacrificed by our approach in favor of generality.
•A NoSQL design process based on a paradigm-independent conceptual data model.•Physical database models are generated through model transformation techniques.•Physical database models can be obtained for column family or document databases.•The generation process can be configured with technology-independent annotations.•Design quality is not compromised to achieve genericity. |
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| AbstractList | In the last decade, several NoSQL systems have emerged as a response to the scalability problems manifested by classical relational databases when used in Big Data contexts. These NoSQL systems appeared first as physical-level solutions, initially lacking any design methodologies. After this initial batch of systems, several design methodologies for NoSQL have been recently created. Nevertheless, most of these methodologies target just one NoSQL paradigm. In addition, as each methodology uses a different conceptual modeling approach, NoSQL database designers would need to remake conceptual models as they switch from one NoSQL paradigm to another. Moreover, most of these design processes provide just a set of design heuristics and guidelines that database designers need to apply manually, which can be a time-consuming and error-prone process. To overcome these limitations, this article presents Mortadelo, a model-driven NoSQL database design process where, from a high-level conceptual model, independent of any specific NoSQL paradigm, an implementation for a concrete NoSQL database system can be automatically generated. Moreover, this database generation process can be customized, so that some design trade-offs can be managed differently according to each context needs. We evaluated Mortadelo’s capabilities by generating database implementations for several typical NoSQL case studies. In these cases, Mortadelo was able to generate implementations for the Cassandra and MongoDB NoSQL systems from the same conceptual data model. These implementations were similar to the ones generated by design methodologies specifically developed for a single paradigm. Therefore, design quality is not sacrificed by our approach in favor of generality.
•A NoSQL design process based on a paradigm-independent conceptual data model.•Physical database models are generated through model transformation techniques.•Physical database models can be obtained for column family or document databases.•The generation process can be configured with technology-independent annotations.•Design quality is not compromised to achieve genericity. |
| Author | Sánchez, Pablo García-Saiz, Diego Blanco, Carlos de la Vega, Alfonso Zorrilla, Marta |
| Author_xml | – sequence: 1 givenname: Alfonso surname: de la Vega fullname: de la Vega, Alfonso email: alfonso.delavega@unican.es – sequence: 2 givenname: Diego surname: García-Saiz fullname: García-Saiz, Diego – sequence: 3 givenname: Carlos surname: Blanco fullname: Blanco, Carlos – sequence: 4 givenname: Marta surname: Zorrilla fullname: Zorrilla, Marta – sequence: 5 givenname: Pablo surname: Sánchez fullname: Sánchez, Pablo |
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| Cites_doi | 10.1016/j.is.2013.05.002 10.1016/j.future.2015.05.003 10.1016/j.is.2016.07.009 10.1145/1365815.1365816 10.1109/JIOT.2017.2695535 10.1145/1978915.1978919 10.1109/MiSE.2019.00021 10.1109/TKDE.2017.2722412 10.1007/s00778-008-0105-2 10.1145/320434.320440 10.1145/1869542.1869625 10.5381/jot.2003.2.5.a1 10.1145/1323293.1294281 10.1016/j.future.2013.12.036 10.1007/s00450-016-0334-3 |
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| Keywords | Model-driven engineering NoSQL Document stores Database design Data modeling Column family stores |
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| Title | Mortadelo: Automatic generation of NoSQL stores from platform-independent data models |
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