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Speeding up navigational requests in-a-parallel object database system

Lookup NU author(s): Professor Paul WatsonORCiD


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In data intensive applications, both programming and declarative query languages have attractions, the former in comprehensiveness and the latter for ease of use. Databases sometimes support the calling of side-effect free user defined functions from within declarative queries. As well as enabling more efficient coding of computationally intensive functions, this provision not only moves computation to data in a client-server setting, but also enables speedup through data parallel execution if the server is parallel. There, has been little work on the combined use of query and program based database access in the context of parallel servers. We believe Polar is the first parallel object-oriented database which supports this arbitrary navigation both in a client application and in functions (operations) which may be called from within declarative queries. This work introduces Polar's support for navigation and for calling operations from with in parallel queries and presents performance results for example navigational requests for the large OO7 benchmark.

Publication metadata

Author(s): Smith J, Watson P, Sampaio SDM, Paton NW

Editor(s): Monien, B., Feldmann, R.

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: Euro-Par 2002. Parallel Processing: 8th International Euro-Par Conference

Year of Conference: 2002

Pages: 332-341

ISSN: 0302-9743 (print) 1611-3349 (online)

Publisher: Springer


DOI: 10.1007/3-540-45706-2_44

Library holdings: Search Newcastle University Library for this item

Series Title: Lecture Notes in Computer Science

ISBN: 9783540440499