TypedDataFrame

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. def as[NewSchema <: Product]: FieldRenamer[NewSchema]

   

5. final def asInstanceOf[T0]: T0

   

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6. def cache(): TypedDataFrame[Schema]

   

7. def cartesianJoin[OtherS <: Product, Out <: Product, L <: HList, R <: HList, P <: HList, V <: HList](other: TypedDataFrame[OtherS])(implicit l: Aux[Schema, L], r: Aux[OtherS, R], P: shapeless.ops.hlist.Prepend.Aux[L, R, P], v: Aux[P, V], t: XLTupler.Aux[V, Out], g: Fields[Out]): TypedDataFrame[Out]

   

8. def clone(): AnyRef

   

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9. def coalesce(numPartitions: Int): TypedDataFrame[Schema]

   

10. def collect()(implicit t: TypeableRow[Schema]): Seq[Schema]

    

11. def columns: Array[String]

    

12. def count(): Long

    

13. object cube extends SingletonProductArgs

    

14. object describe extends SingletonProductArgs

    

15. val df: DataFrame

    

16. def distinct(): TypedDataFrame[Schema]

    

17. object drop extends SingletonProductArgs

    

18. object dropDuplicates extends SingletonProductArgs

    

19. def dtypes: Array[(String, String)]

    

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

    

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21. def equals(arg0: Any): Boolean

    

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22. def except[OtherS <: Product, S <: HList](other: TypedDataFrame[OtherS])(implicit l: Aux[Schema, S], r: Aux[OtherS, S]): TypedDataFrame[Schema]

    

23. def explain(extended: Boolean = false): Unit

    

24. def explode[NewSchema <: Product, Out <: Product, N <: HList, G <: HList, P <: HList](f: (Schema) ⇒ TraversableOnce[NewSchema])(implicit a: scala.reflect.api.JavaUniverse.TypeTag[NewSchema], n: Aux[NewSchema, N], t: TypeableRow.Aux[Schema, G], p: shapeless.ops.hlist.Prepend.Aux[G, N, P], m: XLTupler.Aux[P, Out], g: Fields[Out]): TypedDataFrame[Out]

    

25. implicit val fields: Fields[Schema]

    

26. def filter(f: (Schema) ⇒ Boolean)(implicit s: SQLContext, t: TypeableRow[Schema]): TypedDataFrame[Schema]

    

27. def finalize(): Unit

    

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28. def flatMap[NewSchema <: Product](f: (Schema) ⇒ TraversableOnce[NewSchema])(implicit s: SQLContext, w: TypeableRow[Schema], c: ClassTag[NewSchema], t: scala.reflect.api.JavaUniverse.TypeTag[NewSchema], b: Fields[NewSchema]): TypedDataFrame[NewSchema]

    

29. def foreach(f: (Schema) ⇒ Unit)(implicit t: TypeableRow[Schema]): Unit

    

30. def foreachPartition(f: (Iterator[Schema]) ⇒ Unit)(implicit t: TypeableRow[Schema]): Unit

    

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

    

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32. object groupBy extends SingletonProductArgs

    

33. def hashCode(): Int

    

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34. def head()(implicit t: TypeableRow[Schema]): Schema

    

35. def innerJoin[OtherS <: Product](other: TypedDataFrame[OtherS]): JoinPartial[OtherS]

    

36. def inputFiles: Array[String]

    

37. def intersect[OtherS <: Product, S <: HList](other: TypedDataFrame[OtherS])(implicit l: Aux[Schema, S], r: Aux[OtherS, S]): TypedDataFrame[Schema]

    

38. final def isInstanceOf[T0]: Boolean

    

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39. def isLocal: Boolean

    

40. def leftOuterJoin[OtherS <: Product](other: TypedDataFrame[OtherS]): JoinPartial[OtherS]

    

41. def leftsemiJoin[OtherS <: Product](other: TypedDataFrame[OtherS]): LeftsemiJoinPartial[OtherS]

    

42. def limit(n: Int): TypedDataFrame[Schema]

    

43. def map[NewSchema <: Product](f: (Schema) ⇒ NewSchema)(implicit s: SQLContext, w: TypeableRow[Schema], c: ClassTag[NewSchema], t: scala.reflect.api.JavaUniverse.TypeTag[NewSchema], b: Fields[NewSchema]): TypedDataFrame[NewSchema]

    

44. def mapPartitions[NewSchema <: Product](f: (Iterator[Schema]) ⇒ Iterator[NewSchema])(implicit s: SQLContext, w: TypeableRow[Schema], c: ClassTag[NewSchema], t: scala.reflect.api.JavaUniverse.TypeTag[NewSchema], b: Fields[NewSchema]): TypedDataFrame[NewSchema]

    

45. def na: TypedDataFrameNaFunctions[Schema]

    

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

    

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47. final def notify(): Unit

    

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48. final def notifyAll(): Unit

    

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49. def outerJoin[OtherS <: Product](other: TypedDataFrame[OtherS]): JoinPartial[OtherS]

    

50. def persist(newLevel: StorageLevel = StorageLevel.MEMORY_AND_DISK): TypedDataFrame[Schema]

    

51. def printSchema(): Unit

    

52. def randomSplit(weights: Array[Double], seed: Long = randomLong): Array[TypedDataFrame[Schema]]

    

53. def rdd(implicit t: TypeableRow[Schema], l: ClassTag[Schema]): RDD[Schema]

    

54. def reduce(f: (Schema, Schema) ⇒ Schema)(implicit t: TypeableRow[Schema], l: ClassTag[Schema]): Schema

    

55. def registerTempTable(tableName: String): Unit

    

56. def repartition(numPartitions: Int): TypedDataFrame[Schema]

    

57. def rightOuterJoin[OtherS <: Product](other: TypedDataFrame[OtherS]): JoinPartial[OtherS]

    

58. object rollup extends SingletonProductArgs

    

59. def sample(withReplacement: Boolean, fraction: Double, seed: Long = randomLong): TypedDataFrame[Schema]

    

60. def schema: StructType

    

61. object select extends SingletonProductArgs

    

62. def selectExpr(exprs: String*): DataFrame

    

63. def show(numRows: Int = 20, truncate: Boolean = true): Unit

    

64. object sort extends SingletonProductArgs

    

65. object sortDesc extends SingletonProductArgs

    

66. def stat: TypedDataFrameStatFunctions[Schema]

    

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

    

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68. def take(n: Int)(implicit t: TypeableRow[Schema]): Seq[Schema]

    

69. def toJSON: RDD[String]

    

70. def toString(): String

    

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71. def unionAll[OtherS <: Product, S <: HList](other: TypedDataFrame[OtherS])(implicit l: Aux[Schema, S], r: Aux[OtherS, S]): TypedDataFrame[Schema]

    

72. def unpersist(blocking: Boolean = false): TypedDataFrame[Schema]

    

73. final def wait(): Unit

    

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

    

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

    

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76. def write: DataFrameWriter