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org.apache.spark.h2o.converters

WriteConverterCtxUtils

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object WriteConverterCtxUtils

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Type Members

  1. type ConversionFunction[T] = (String, Array[Byte], Option[UploadPlan], Int, Short, Array[Boolean], Seq[Int]) ⇒ SparkJob[T]

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  2. trait Converter extends AnyRef

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  3. type SparkJob[T] = (TaskContext, Iterator[T]) ⇒ (Int, Long)

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  4. type UploadPlan = Map[Int, NodeDesc]

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  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. object ClientBasedConverter extends Converter

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  5. object RESTBasedExternalConverter extends Converter

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  6. final def asInstanceOf[T0]: T0

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  7. def bufferedIteratorWithSize[T](uploadPlan: Option[UploadPlan], original: Iterator[T]): (Iterator[T], Option[Int])

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    This method is used for writing data from spark partitions to h2o chunks.

    This method is used for writing data from spark partitions to h2o chunks.

    In case of internal backend it returns the original iterator and empty length because we do not need it In case of external backend it returns new iterator with the same data and the length of the data

  8. def clone(): AnyRef

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  9. def create(uploadPlan: Option[UploadPlan], partitionId: Int, writeTimeout: Int, driverTimeStamp: Short, blockSize: Long): WriteConverterCtx

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

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  11. def equals(arg0: Any): Boolean

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  12. def finalize(): Unit

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

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  14. def hashCode(): Int

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  15. final def isInstanceOf[T0]: Boolean

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

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  17. final def notify(): Unit

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  18. final def notifyAll(): Unit

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

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  20. def toString(): String

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  21. final def wait(): Unit

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

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

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