SPARQLGX in action: Efficient distributed evaluation of SPARQL with Apache Spark

Damien Graux; Louis Jachiet; Pierre Genevès; Nabil Layaïda

SPARQLGX in action: Efficient distributed evaluation of SPARQL with Apache Spark

Damien Graux
, Louis Jachiet
, Pierre Genevès
, Nabil Layaïda

University Grenoble Alpes

Research output: Contribution to journal › Conference article › peer-review

Abstract

We demonstrate sparqlgx: our implementation of a distributed sparql evaluator. We show that sparqlgx makes it possible to evaluate sparql queries on billions of triples distributed across multiple nodes, while providing attractive performance figures.

Original language	English
Journal	CEUR Workshop Proceedings
Volume	1690
Publication status	Published - 1 Jan 2016
Externally published	Yes
Event	2016 Posters and Demonstrations Track, ISWC P and D 2016 - Kobe, Japan Duration: 19 Oct 2016 → …

Cite this

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title = "SPARQLGX in action: Efficient distributed evaluation of SPARQL with Apache Spark",

abstract = "We demonstrate sparqlgx: our implementation of a distributed sparql evaluator. We show that sparqlgx makes it possible to evaluate sparql queries on billions of triples distributed across multiple nodes, while providing attractive performance figures.",

author = "Damien Graux and Louis Jachiet and Pierre Genev{\`e}s and Nabil Laya{\"i}da",

year = "2016",

month = jan,

day = "1",

language = "English",

volume = "1690",

journal = "CEUR Workshop Proceedings",

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T2 - 2016 Posters and Demonstrations Track, ISWC P and D 2016

AU - Graux, Damien

AU - Jachiet, Louis

AU - Genevès, Pierre

AU - Layaïda, Nabil

PY - 2016/1/1

Y1 - 2016/1/1

N2 - We demonstrate sparqlgx: our implementation of a distributed sparql evaluator. We show that sparqlgx makes it possible to evaluate sparql queries on billions of triples distributed across multiple nodes, while providing attractive performance figures.

AB - We demonstrate sparqlgx: our implementation of a distributed sparql evaluator. We show that sparqlgx makes it possible to evaluate sparql queries on billions of triples distributed across multiple nodes, while providing attractive performance figures.

M3 - Conference article

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SN - 1613-0073

VL - 1690

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

Y2 - 19 October 2016

ER -

SPARQLGX in action: Efficient distributed evaluation of SPARQL with Apache Spark

Abstract

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