SPARQLGX: Efficient Distributed Evaluation of SPARQL with Apache Spark

Damien Graux 1 Louis Jachiet 1 Pierre Genevès 1, * Nabil Layaïda 1
* Corresponding author
1 TYREX - Types and Reasoning for the Web
Inria Grenoble - Rhône-Alpes, LIG - Laboratoire d'Informatique de Grenoble
Abstract : sparql is the w3c standard query language for querying data expressed in the Resource Description Framework (rdf). The increasing amounts of rdf data available raise a major need and research interest in building efficient and scalable distributed sparql query eval-uators. In this context, we propose sparqlgx: our implementation of a distributed rdf datastore based on Apache Spark. sparqlgx is designed to leverage existing Hadoop infrastructures for evaluating sparql queries. sparqlgx relies on a translation of sparql queries into exe-cutable Spark code that adopts evaluation strategies according to (1) the storage method used and (2) statistics on data. We show that spar-qlgx makes it possible to evaluate sparql queries on billions of triples distributed across multiple nodes, while providing attractive performance figures. We report on experiments which show how sparqlgx compares to related state-of-the-art implementations and we show that our approach scales better than these systems in terms of supported dataset size. With its simple design, sparqlgx represents an interesting alternative in several scenarios.
Document type :
Conference papers
Complete list of metadatas

Cited literature [18 references]  Display  Hide  Download

https://hal.inria.fr/hal-01344915
Contributor : Tyrex Equipe <>
Submitted on : Tuesday, July 12, 2016 - 6:57:25 PM
Last modification on : Thursday, October 11, 2018 - 8:48:04 AM

File

sparqlgx.pdf
Files produced by the author(s)

Identifiers

Collections

Citation

Damien Graux, Louis Jachiet, Pierre Genevès, Nabil Layaïda. SPARQLGX: Efficient Distributed Evaluation of SPARQL with Apache Spark. The 15th International Semantic Web Conference, Oct 2016, Kobe, Japan. ⟨10.1007/978-3-319-46547-0_9⟩. ⟨hal-01344915⟩

Share

Metrics

Record views

781

Files downloads

1460