Abstract
In this paper we consider the scalability issues of a classical data structure used for multidimensional indexing: the R-Tree. This data structure allows for an efficient retrieval of records in low-dimensional spaces and is de facto standard of the industry. Following the design guidelines of the GiST model we have implemented a prototype which supports concurrent (parallel) access and provides read committed isolation level. Using our prototype we study the impact of threads and cores on the performance of the system. In order to do this, we evaluate it in several scenarios which may occur during the course of DBMS operation.
This work is partially supported by Russian Foundation for Basic Research grant 12-07-31050.
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http://web.archive.org/web/20120424201336/ http://wwwdb.inf.tu-dresden.de/sigmod2012contest/leaderboard/ last accessed: 26/04/2014.
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Acknowledgements
We would like to thank organizers of ACM SIGMOD Programming Contest’12 for providing a base for benchmark, data generator and unit tests. This work is partially supported by Russian Foundation for Basic Research grant 12-07-31050.
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Smirnov, K., Chernishev, G., Fedotovsky, P., Erokhin, G., Cherednik, K. (2015). The Study of Multidimensional R-Tree-Based Index Scalability in Multicore Environment. In: Voronkov, A., Virbitskaite, I. (eds) Perspectives of System Informatics. PSI 2014. Lecture Notes in Computer Science(), vol 8974. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46823-4_22
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