Abstract
In agile software development settings, applications are typically backed by schema-flexible NoSQL databases. New application code frequently implies data model changes to the effect of multiple schema versions within the NoSQL database. Here, a query rewriting approach can handle the issue of how to access legacy data, otherwise datasets in previous schema versions would seem to disappear for the application. Our NoSQL query rewriting approach for multi-versioned databases takes evolution operations into account, their reverse operations as well as the heterogeneity of data. For that purpose we specify four NoSQL heterogeneity classes from relational up to completely unstructured NoSQL records. Furthermore, we propose a NoSQL query rewriting algorithm that generates subqueries compatible to all existing structural versions.
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Acknowledgements
The article is published in the scope of the project “NoSQL Schema Evolution und Big Data Migration at Scale” which is funded by the Deutsche Forschungsgemeinschaft (DFG) under the number 385808805. A special thanks goes to Stefanie Scherzinger, Dennis Marten, Tanja Auge, and Hannes Grunert for their support, comments on this work, and several discussions.
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Möller, M.L., Klettke, M., Hillenbrand, A., Störl, U. (2019). Query Rewriting for Continuously Evolving NoSQL Databases. In: Laender, A., Pernici, B., Lim, EP., de Oliveira, J. (eds) Conceptual Modeling. ER 2019. Lecture Notes in Computer Science(), vol 11788. Springer, Cham. https://doi.org/10.1007/978-3-030-33223-5_18
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DOI: https://doi.org/10.1007/978-3-030-33223-5_18
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