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net.sansa_stack.examples.spark.query

SPARQLEndpointExample

object SPARQLEndpointExample

This example shows how to run SPARQL queries over Spark using a SPARQL-to-SQL rewriter under the hood. The RDF data can be provided either as triples file or even as a pre-partitioned dataset maintained in tables of a Spark database and a corresponding R2RML mapping file.

Two different modes for demonstrator purposes can be used: - run a single query - start a SPARQL endpoint with a Web UI as optional interface

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  1. case class Config(in: String = null, database: String = null, mappingsfile: URI = null, queryEngine: query.spark.SPARQLEngine.Value = SPARQLEngine.Ontop, sparql: String = ..., runMode: Option[String] = None, port: Int = 7531, browser: Boolean = true) extends Product with Serializable

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  16. val parser: OptionParser[Config]
  17. def run(input: String, database: String, mappingsFile: URI, queryEngine: query.spark.SPARQLEngine.Value, sparqlQuery: String = "", mode: Option[String], port: Int = 7531): Unit
  18. implicit val sparqlEngineRead: Read[query.spark.SPARQLEngine.Value]
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