org.apache.spark.sql

DataFrameJavaFunctions

class DataFrameJavaFunctions extends AnyRef

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Instance Constructors

  1. new DataFrameJavaFunctions(df: DataFrame)

Value Members

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

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

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  3. final def ##(): Int

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  4. final def ==(arg0: AnyRef): Boolean

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

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  6. def appendToTempTableCache(tableName: String): Unit

    Append to an existing cache table.

    Append to an existing cache table. Automatically uses #cacheQuery if not done already.

  7. final def asInstanceOf[T0]: T0

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  8. def clone(): AnyRef

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  9. val df: DataFrame

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

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  11. def equals(arg0: Any): Boolean

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  12. def errorEstimateAverage(columnName: String, confidence: JDouble, groupByColumns: Set[String]): Map[Row, (JDouble, JDouble, JDouble, JDouble)]

  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. final def ne(arg0: AnyRef): Boolean

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  18. final def notify(): Unit

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  19. final def notifyAll(): Unit

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  20. def stratifiedSample(options: Map[String, AnyRef]): SampleDataFrame

    Creates stratified sampled data from given DataFrame

    Creates stratified sampled data from given DataFrame

    peopleDf.stratifiedSample(Map("qcs" -> Array(1,2), "fraction" -> 0.01))
  21. final def synchronized[T0](arg0: ⇒ T0): T0

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  22. def toString(): String

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  23. final def wait(): Unit

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

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

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  26. def withError(error: JDouble, confidence: JDouble = Constant.DEFAULT_CONFIDENCE): DataFrame

  27. def withTime(time: Long): DataFrameWithTime

    Creates a DataFrame for given time instant that will be used when inserting into top-K structures.

    Creates a DataFrame for given time instant that will be used when inserting into top-K structures.

    time

    the time instant of the DataFrame as millis since epoch

    returns

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