o

net.sansa_stack.query.spark.ontop

VerticalPartitioner

object VerticalPartitioner

A vertical partitioner implementation that can be run solely. It creates SQL tables and writes the partitioned data in Parquet format to disk. SQL tables will registered in a metastore, thus, on restart tables will still be available via SQL queries.

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Type Members

  1. case class Config(inputPath: URI = null, outputPath: URI = null, schemaPath: URI = null, blankNodeStrategy: BlankNodeStrategy.Value = BlankNodeStrategy.Table, computeStatistics: Boolean = true, databaseName: String = "Default", dropDatabase: Boolean = false, saveIgnore: Boolean = false, saveOverwrite: Boolean = false, saveAppend: Boolean = false, usePartitioning: Boolean = false, partitioningThreshold: Int = 100, mode: String = "partitioner") extends Product with Serializable

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  1. final def !=(arg0: Any): Boolean
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  2. final def ##(): Int
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  4. final def asInstanceOf[T0]: T0
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  5. implicit val bNodeRead: Read[BlankNodeStrategy.Value]
  6. val builder: OParserBuilder[Config]
  7. def clone(): AnyRef
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  8. final def eq(arg0: AnyRef): Boolean
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  10. def finalize(): Unit
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  11. final def getClass(): Class[_]
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  13. final def isInstanceOf[T0]: Boolean
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  14. def main(args: Array[String]): Unit
  15. final def ne(arg0: AnyRef): Boolean
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  16. final def notify(): Unit
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  17. final def notifyAll(): Unit
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  18. val parser: OParser[Unit, Config]
  19. final def synchronized[T0](arg0: ⇒ T0): T0
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  20. def time[R](block: ⇒ R): R
  21. def toString(): String
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  22. final def wait(): Unit
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  23. final def wait(arg0: Long, arg1: Int): Unit
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  24. final def wait(arg0: Long): Unit
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  25. val warehouseLocation: String

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