Class

datafu.spark

SparkDFUtilsBridge

Related Doc: package spark

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class SparkDFUtilsBridge extends AnyRef

class definition so we could expose this functionality in PySpark

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  1. new SparkDFUtilsBridge()

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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 broadcastJoinSkewed(notSkewed: DataFrame, skewed: DataFrame, joinCol: String, numRowsToBroadcast: Int): DataFrame

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  6. def changeSchema(df: DataFrame, newScheme: List[String]): DataFrame

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  7. def clone(): AnyRef

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  8. def dedupTopN(df: DataFrame, n: Int, groupCol: Column, orderCols: List[Column]): DataFrame

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  9. def dedupWithCombiner(df: DataFrame, groupCol: Column, orderByCol: Column, desc: Boolean, columnsFilter: List[String], columnsFilterKeep: Boolean): DataFrame

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  10. def dedupWithOrder(df: DataFrame, groupCol: Column, orderCols: List[Column]): DataFrame

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

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  12. def equals(arg0: Any): Boolean

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  13. def finalize(): Unit

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

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  15. def hashCode(): Int

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  16. final def isInstanceOf[T0]: Boolean

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  17. def joinSkewed(dfLeft: DataFrame, dfRight: DataFrame, joinExprs: Column, numShards: Int, joinType: String): DataFrame

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  18. def joinWithRange(dfSingle: DataFrame, colSingle: String, dfRange: DataFrame, colRangeStart: String, colRangeEnd: String, DECREASE_FACTOR: Long): DataFrame

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  19. def joinWithRangeAndDedup(dfSingle: DataFrame, colSingle: String, dfRange: DataFrame, colRangeStart: String, colRangeEnd: String, DECREASE_FACTOR: Long, dedupSmallRange: Boolean): DataFrame

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

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  21. final def notify(): Unit

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  22. final def notifyAll(): Unit

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

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  24. def toString(): String

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  25. final def wait(): Unit

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

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

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