| Publikationstyp: | Beitrag in wissenschaftlicher Zeitschrift |
| Art der Begutachtung: | Peer review (Publikation) |
| Titel: | ZNS : efficient query processing with ZurichNoSQL |
| Autor/-in: | Stockinger, Kurt Bödi, Richard Heitz, Jonas Weinmann, Thomas Oskar |
| DOI: | 10.1016/j.datak.2017.09.004 |
| Erschienen in: | Data & Knowledge Engineering |
| Band(Heft): | 2017 |
| Heft: | 112 |
| Seite(n): | 38 |
| Seiten bis: | 54 |
| Erscheinungsdatum: | 2017 |
| Verlag / Hrsg. Institution: | Elsevier |
| ISSN: | 0169-023X 1872-6933 |
| Sprache: | Englisch |
| Fachgebiet (DDC): | 005: Computerprogrammierung, Programme und Daten |
| Zusammenfassung: | NoSQL data stores have recently gained popularity as an alternative to relational database management systems since they typically do not require a fixed schema and scale well for large data sets. These systems have often been tuned to a number of very specific operations such as writing or reading of large data sets. However, none of these novel systems has been demonstrated to efficiently perform multi-dimensional range queries incorporating many boolean operators, a task which is commonly used in scientific data exploration, data warehousing and business analytics. In this paper we introduce ZurichNoSQL (ZNS) – a novel NoSQL main memory store that supports efficient processing of multi-dimensional point queries and range queries. The key idea of ZNS is to store the data in a column format (compressed column storage) similar to systems used in high performance computing. Moreover, the ZNS architecture is based on a set of low-level main memory techniques ensuring that CPU caches are being used efficiently. Our experimental results comparing to popular NoSQL stores such as FastBit, MongoDB and Spark SQL demonstrate that ZNS significantly outperforms these systems in most cases. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/4264 |
| Volltext Version: | Publizierte Version |
| Lizenz (gemäss Verlagsvertrag): | Lizenz gemäss Verlagsvertrag |
| Departement: | School of Engineering |
| Organisationseinheit: | Institut für Informatik (InIT) |
| Enthalten in den Sammlungen: | Publikationen School of Engineering |
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Stockinger, K., Bödi, R., Heitz, J., & Weinmann, T. O. (2017). ZNS : efficient query processing with ZurichNoSQL. Data & Knowledge Engineering, 2017(112), 38–54. https://doi.org/10.1016/j.datak.2017.09.004
Stockinger, K. et al. (2017) ‘ZNS : efficient query processing with ZurichNoSQL’, Data & Knowledge Engineering, 2017(112), pp. 38–54. Available at: https://doi.org/10.1016/j.datak.2017.09.004.
K. Stockinger, R. Bödi, J. Heitz, and T. O. Weinmann, “ZNS : efficient query processing with ZurichNoSQL,” Data & Knowledge Engineering, vol. 2017, no. 112, pp. 38–54, 2017, doi: 10.1016/j.datak.2017.09.004.
STOCKINGER, Kurt, Richard BÖDI, Jonas HEITZ und Thomas Oskar WEINMANN, 2017. ZNS : efficient query processing with ZurichNoSQL. Data & Knowledge Engineering. 2017. Bd. 2017, Nr. 112, S. 38–54. DOI 10.1016/j.datak.2017.09.004
Stockinger, Kurt, Richard Bödi, Jonas Heitz, and Thomas Oskar Weinmann. 2017. “ZNS : Efficient Query Processing with ZurichNoSQL.” Data & Knowledge Engineering 2017 (112): 38–54. https://doi.org/10.1016/j.datak.2017.09.004.
Stockinger, Kurt, et al. “ZNS : Efficient Query Processing with ZurichNoSQL.” Data & Knowledge Engineering, vol. 2017, no. 112, 2017, pp. 38–54, https://doi.org/10.1016/j.datak.2017.09.004.
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