Class

com.ryft.spark.connector

RDDFunctions

Related Doc: package connector

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class RDDFunctions[T] extends Logging

Provides Ryft-specific methods on org.apache.spark.rdd.RDD

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Instance Constructors

  1. new RDDFunctions(rdd: RDD[T])

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Value Members

  1. final def !=(arg0: Any): Boolean

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  2. final def ##(): Int

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  3. final def ==(arg0: Any): Boolean

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  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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  6. final def eq(arg0: AnyRef): Boolean

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  7. def equals(arg0: Any): Boolean

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  8. def finalize(): Unit

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  9. final def getClass(): Class[_]

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  10. def hashCode(): Int

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  11. final def isInstanceOf[T0]: Boolean

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  12. def isTraceEnabled(): Boolean

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  13. def log: Logger

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  14. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

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  15. def logDebug(msg: ⇒ String): Unit

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  16. def logError(msg: ⇒ String, throwable: Throwable): Unit

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  17. def logError(msg: ⇒ String): Unit

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  18. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

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  19. def logInfo(msg: ⇒ String): Unit

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  20. def logName: String

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  21. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

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  22. def logTrace(msg: ⇒ String): Unit

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  23. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

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  24. def logWarning(msg: ⇒ String): Unit

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  25. final def ne(arg0: AnyRef): Boolean

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  26. final def notify(): Unit

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  27. final def notifyAll(): Unit

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  28. val rdd: RDD[T]

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  29. def saveToRyft(path: String, parameters: Map[String, String]): Unit

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  30. def saveToRyft(path: String, parameters: Map[String, Any] = Map.empty): Unit

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    Stores RDD on Ryft machine via Ryft REST server

    Stores RDD on Ryft machine via Ryft REST server

    This method is made available on org.apache.spark.rdd.RDD by importing com.ryft.spark.connector._

    path

    a path of stored RDD

    parameters

    Parameters for saving into Ryft

  31. final def synchronized[T0](arg0: ⇒ T0): T0

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  32. def toString(): String

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  33. final def wait(): Unit

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  34. final def wait(arg0: Long, arg1: Int): Unit

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  35. final def wait(arg0: Long): Unit

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