Section: New Software and Platforms

SPARQLGX

Keywords: RDF - SPARQL - Distributed computing

Scientific Description

SPARQL is the W3C standard query language for querying data expressed in RDF (Resource Description Framework). The increasing amounts of RDF data available raise a major need and research interest in building efficient and scalable distributed SPARQL query evaluators.

In this context, we propose and share 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 executable Spark code that adopts evaluation strategies according to (1) the storage method used and (2) statistics on data. Using a simple design, SPARQLGX already represents an interesting alternative in several scenarios.

• Participants: Damien Graux, Louis Jachiet, Nabil Layaida and Pierre Geneves

• Contact: Pierre Genevès, Damien Graux

• URL: https://github.com/tyrex-team/sparqlgx