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CliqueSquare in Action: Flat Plans for Massively Parallel RDF Queries
Abstract : RDF is an increasingly popular data model for many practical applications, leading to large volumes of RDF data; efficient RDF data management methods are crucial to allow applications to scale. We propose to demonstrate CliqueSquare, an RDF data management system built on top of a MapReduce-like infrastructure. The main technical novelty of CliqueSquare resides in its logical query optimization algorithm, guaranteed to find a logical plan as flat as possible for a given query, meaning: a plan having the smallest possible number of join operators on top of each other. CliqueSquare's ability to build flat plans allows it to take advantage of a parallel processing framework in order to shorten response times. We demonstrate loading and querying the data, with a particular focus on query optimization, and on the performance benefits of CliqueSquare's flat plans.
Cited literature [16 references]
https://hal.inria.fr/hal-01108710
Contributor : Stamatis Zampetakis <>
Submitted on : Friday, January 23, 2015 - 12:22:18 PM
Last modification on : Tuesday, April 21, 2020 - 1:06:16 AM
Document(s) archivé(s) le : Friday, April 24, 2015 - 10:25:42 AM
Contributor : Stamatis Zampetakis <>
Submitted on : Friday, January 23, 2015 - 12:22:18 PM
Last modification on : Tuesday, April 21, 2020 - 1:06:16 AM
Document(s) archivé(s) le : Friday, April 24, 2015 - 10:25:42 AM
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