Tractor Pulling on Data Warehouse

Publication Date: 
Monday, 13 June, 2011
Published in: 
4th International Workshop on Testing Database Systems (DBTest 2011)
Martin Kersten (CWI), Alfons Kemper (TUM), Volker Markl (TU Berlin), Anisoara Nica (Sybase, an SAP Company), Meikel Poess (Oracle), Kai-Uwe Sattler (TU Ilmenau)

This paper was published in Proceedings of 4th International Workshop on Testing Database Systems (DBTest 2011), June 13, 2011, Athens, Greece.


Robustness of database systems under stress is hard to quantify, because there are many factors involved, most notably the user expectation to perform a job within certain bounds of the user requirements. Nevertheless, robustness of database system is very important to end users. In this paper we develop a database benchmark suite, inspired by tractor pulling, where robustness is measured as a system's ability to process data despite a continuous increase in system load, as defined in terms of data volume, query volume and complexity. A functional evaluation is performed against several systems to highlight the benchmark capabilities.

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