Class

cognite.spark.v1

NumericDataPointsRdd

Related Doc: package v1

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final case class NumericDataPointsRdd(sparkContext: SparkContext, config: RelationConfig, ids: Seq[Long], externalIds: Seq[String], timestampLimits: (Instant, Instant), aggregations: Array[AggregationFilter], granularities: Seq[Granularity], increaseReadMetrics: (Int) ⇒ Unit, rowIndices: Array[Int]) extends RDD[Row] with Product with Serializable

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Product, Equals, RDD[Row], Logging, Serializable, Serializable, AnyRef, Any
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Inherited
  1. NumericDataPointsRdd
  2. Product
  3. Equals
  4. RDD
  5. Logging
  6. Serializable
  7. Serializable
  8. AnyRef
  9. Any
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Visibility
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Instance Constructors

  1. new NumericDataPointsRdd(sparkContext: SparkContext, config: RelationConfig, ids: Seq[Long], externalIds: Seq[String], timestampLimits: (Instant, Instant), aggregations: Array[AggregationFilter], granularities: Seq[Granularity], increaseReadMetrics: (Int) ⇒ Unit, rowIndices: Array[Int])

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Value Members

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

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    Definition Classes
    AnyRef → Any
  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any
  3. def ++(other: RDD[Row]): RDD[Row]

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    Definition Classes
    RDD
  4. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  5. def aggregate[U](zeroValue: U)(seqOp: (U, Row) ⇒ U, combOp: (U, U) ⇒ U)(implicit arg0: ClassTag[U]): U

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    Definition Classes
    RDD
  6. val aggregations: Array[AggregationFilter]

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  7. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  8. def barrier(): RDDBarrier[Row]

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    Definition Classes
    RDD
    Annotations
    @Experimental() @Since( "2.4.0" )
  9. def cache(): NumericDataPointsRdd.this.type

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    Definition Classes
    RDD
  10. def cartesian[U](other: RDD[U])(implicit arg0: ClassTag[U]): RDD[(Row, U)]

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    Definition Classes
    RDD
  11. def checkpoint(): Unit

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    Definition Classes
    RDD
  12. def clearDependencies(): Unit

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    Attributes
    protected
    Definition Classes
    RDD
  13. lazy val client: GenericClient[IO]

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  14. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  15. def coalesce(numPartitions: Int, shuffle: Boolean, partitionCoalescer: Option[PartitionCoalescer])(implicit ord: Ordering[Row]): RDD[Row]

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    Definition Classes
    RDD
  16. def collect[U](f: PartialFunction[Row, U])(implicit arg0: ClassTag[U]): RDD[U]

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    Definition Classes
    RDD
  17. def collect(): Array[Row]

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    Definition Classes
    RDD
  18. def compute(_split: Partition, context: TaskContext): Iterator[Row]

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    Definition Classes
    NumericDataPointsRdd → RDD
  19. val config: RelationConfig

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  20. def context: SparkContext

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    Definition Classes
    RDD
  21. def count(): Long

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    Definition Classes
    RDD
  22. def countApprox(timeout: Long, confidence: Double): PartialResult[BoundedDouble]

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    Definition Classes
    RDD
  23. def countApproxDistinct(relativeSD: Double): Long

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    Definition Classes
    RDD
  24. def countApproxDistinct(p: Int, sp: Int): Long

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    Definition Classes
    RDD
  25. def countByValue()(implicit ord: Ordering[Row]): Map[Row, Long]

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    Definition Classes
    RDD
  26. def countByValueApprox(timeout: Long, confidence: Double)(implicit ord: Ordering[Row]): PartialResult[Map[Row, BoundedDouble]]

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    Definition Classes
    RDD
  27. final def dependencies: Seq[Dependency[_]]

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    Definition Classes
    RDD
  28. def distinct(): RDD[Row]

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    Definition Classes
    RDD
  29. def distinct(numPartitions: Int)(implicit ord: Ordering[Row]): RDD[Row]

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    Definition Classes
    RDD
  30. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  31. val externalIds: Seq[String]

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  32. def filter(f: (Row) ⇒ Boolean): RDD[Row]

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    Definition Classes
    RDD
  33. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  34. def first(): Row

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    Definition Classes
    RDD
  35. def firstParent[U](implicit arg0: ClassTag[U]): RDD[U]

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    Attributes
    protected[org.apache.spark]
    Definition Classes
    RDD
  36. def flatMap[U](f: (Row) ⇒ TraversableOnce[U])(implicit arg0: ClassTag[U]): RDD[U]

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    Definition Classes
    RDD
  37. def fold(zeroValue: Row)(op: (Row, Row) ⇒ Row): Row

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    Definition Classes
    RDD
  38. def foreach(f: (Row) ⇒ Unit): Unit

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    Definition Classes
    RDD
  39. def foreachPartition(f: (Iterator[Row]) ⇒ Unit): Unit

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    Definition Classes
    RDD
  40. def getCheckpointFile: Option[String]

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    Definition Classes
    RDD
  41. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any
  42. def getDependencies: Seq[Dependency[_]]

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    Attributes
    protected
    Definition Classes
    RDD
  43. final def getNumPartitions: Int

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    Definition Classes
    RDD
    Annotations
    @Since( "1.6.0" )
  44. def getOutputDeterministicLevel: org.apache.spark.rdd.DeterministicLevel.Value

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    Attributes
    protected
    Definition Classes
    RDD
    Annotations
    @DeveloperApi()
  45. def getPartitions: Array[Partition]

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    Definition Classes
    NumericDataPointsRdd → RDD
  46. def getPreferredLocations(split: Partition): Seq[String]

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    Attributes
    protected
    Definition Classes
    RDD
  47. def getStorageLevel: StorageLevel

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    Definition Classes
    RDD
  48. def glom(): RDD[Array[Row]]

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    Definition Classes
    RDD
  49. val granularities: Seq[Granularity]

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  50. def groupBy[K](f: (Row) ⇒ K, p: Partitioner)(implicit kt: ClassTag[K], ord: Ordering[K]): RDD[(K, Iterable[Row])]

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    Definition Classes
    RDD
  51. def groupBy[K](f: (Row) ⇒ K, numPartitions: Int)(implicit kt: ClassTag[K]): RDD[(K, Iterable[Row])]

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    Definition Classes
    RDD
  52. def groupBy[K](f: (Row) ⇒ K)(implicit kt: ClassTag[K]): RDD[(K, Iterable[Row])]

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    Definition Classes
    RDD
  53. val id: Int

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    Definition Classes
    RDD
  54. val ids: Seq[Long]

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  55. val increaseReadMetrics: (Int) ⇒ Unit

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  56. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

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    Attributes
    protected
    Definition Classes
    Logging
  57. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  58. def intersection(other: RDD[Row], numPartitions: Int): RDD[Row]

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    Definition Classes
    RDD
  59. def intersection(other: RDD[Row], partitioner: Partitioner)(implicit ord: Ordering[Row]): RDD[Row]

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    Definition Classes
    RDD
  60. def intersection(other: RDD[Row]): RDD[Row]

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    RDD
  61. lazy val isBarrier_: Boolean

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    protected
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    RDD
  62. def isCheckpointed: Boolean

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    RDD
  63. def isEmpty(): Boolean

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    RDD
  64. final def isInstanceOf[T0]: Boolean

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  65. def isTraceEnabled(): Boolean

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    protected
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    Logging
  66. final def iterator(split: Partition, context: TaskContext): Iterator[Row]

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    Definition Classes
    RDD
  67. def keyBy[K](f: (Row) ⇒ K): RDD[(K, Row)]

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    Definition Classes
    RDD
  68. def localCheckpoint(): NumericDataPointsRdd.this.type

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    Definition Classes
    RDD
  69. def log: Logger

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    Attributes
    protected
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    Logging
  70. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

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    protected
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    Logging
  71. def logDebug(msg: ⇒ String): Unit

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    protected
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    Logging
  72. def logError(msg: ⇒ String, throwable: Throwable): Unit

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    protected
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    Logging
  73. def logError(msg: ⇒ String): Unit

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    protected
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    Logging
  74. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

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    protected
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    Logging
  75. def logInfo(msg: ⇒ String): Unit

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    Logging
  76. def logName: String

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

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    protected
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    Logging
  78. def logTrace(msg: ⇒ String): Unit

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    protected
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    Logging
  79. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

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    Logging
  80. def logWarning(msg: ⇒ String): Unit

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    protected
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    Logging
  81. def map[U](f: (Row) ⇒ U)(implicit arg0: ClassTag[U]): RDD[U]

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    Definition Classes
    RDD
  82. def mapPartitions[U](f: (Iterator[Row]) ⇒ Iterator[U], preservesPartitioning: Boolean)(implicit arg0: ClassTag[U]): RDD[U]

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    Definition Classes
    RDD
  83. def mapPartitionsWithIndex[U](f: (Int, Iterator[Row]) ⇒ Iterator[U], preservesPartitioning: Boolean)(implicit arg0: ClassTag[U]): RDD[U]

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    Definition Classes
    RDD
  84. def max()(implicit ord: Ordering[Row]): Row

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    RDD
  85. def min()(implicit ord: Ordering[Row]): Row

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    Definition Classes
    RDD
  86. var name: String

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    Definition Classes
    RDD
  87. final def ne(arg0: AnyRef): Boolean

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    AnyRef
  88. final def notify(): Unit

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    AnyRef
  89. final def notifyAll(): Unit

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    AnyRef
  90. def parent[U](j: Int)(implicit arg0: ClassTag[U]): RDD[U]

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    Attributes
    protected[org.apache.spark]
    Definition Classes
    RDD
  91. val partitioner: Option[Partitioner]

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    RDD
  92. final def partitions: Array[Partition]

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    RDD
  93. def persist(): NumericDataPointsRdd.this.type

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    Definition Classes
    RDD
  94. def persist(newLevel: StorageLevel): NumericDataPointsRdd.this.type

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    Definition Classes
    RDD
  95. def pipe(command: Seq[String], env: Map[String, String], printPipeContext: ((String) ⇒ Unit) ⇒ Unit, printRDDElement: (Row, (String) ⇒ Unit) ⇒ Unit, separateWorkingDir: Boolean, bufferSize: Int, encoding: String): RDD[String]

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    Definition Classes
    RDD
  96. def pipe(command: String, env: Map[String, String]): RDD[String]

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    Definition Classes
    RDD
  97. def pipe(command: String): RDD[String]

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    Definition Classes
    RDD
  98. final def preferredLocations(split: Partition): Seq[String]

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    Definition Classes
    RDD
  99. def randomSplit(weights: Array[Double], seed: Long): Array[RDD[Row]]

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    Definition Classes
    RDD
  100. def reduce(f: (Row, Row) ⇒ Row): Row

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    RDD
  101. def repartition(numPartitions: Int)(implicit ord: Ordering[Row]): RDD[Row]

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    RDD
  102. val rowIndices: Array[Int]

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  103. def sample(withReplacement: Boolean, fraction: Double, seed: Long): RDD[Row]

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    RDD
  104. def saveAsObjectFile(path: String): Unit

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    RDD
  105. def saveAsTextFile(path: String, codec: Class[_ <: CompressionCodec]): Unit

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    RDD
  106. def saveAsTextFile(path: String): Unit

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    Definition Classes
    RDD
  107. def setName(_name: String): NumericDataPointsRdd.this.type

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    Definition Classes
    RDD
  108. def sortBy[K](f: (Row) ⇒ K, ascending: Boolean, numPartitions: Int)(implicit ord: Ordering[K], ctag: ClassTag[K]): RDD[Row]

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    Definition Classes
    RDD
  109. val sparkContext: SparkContext

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    Definition Classes
    NumericDataPointsRdd → RDD
  110. def subtract(other: RDD[Row], p: Partitioner)(implicit ord: Ordering[Row]): RDD[Row]

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    Definition Classes
    RDD
  111. def subtract(other: RDD[Row], numPartitions: Int): RDD[Row]

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    RDD
  112. def subtract(other: RDD[Row]): RDD[Row]

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

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    AnyRef
  114. def take(num: Int): Array[Row]

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    RDD
  115. def takeOrdered(num: Int)(implicit ord: Ordering[Row]): Array[Row]

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    RDD
  116. def takeSample(withReplacement: Boolean, num: Int, seed: Long): Array[Row]

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    RDD
  117. val timestampLimits: (Instant, Instant)

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  118. def toDebugString: String

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    RDD
  119. def toJavaRDD(): JavaRDD[Row]

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    RDD
  120. def toLocalIterator: Iterator[Row]

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    RDD
  121. def toString(): String

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    RDD → AnyRef → Any
  122. def top(num: Int)(implicit ord: Ordering[Row]): Array[Row]

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    RDD
  123. def treeAggregate[U](zeroValue: U)(seqOp: (U, Row) ⇒ U, combOp: (U, U) ⇒ U, depth: Int)(implicit arg0: ClassTag[U]): U

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    Definition Classes
    RDD
  124. def treeReduce(f: (Row, Row) ⇒ Row, depth: Int): Row

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    RDD
  125. def union(other: RDD[Row]): RDD[Row]

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    Definition Classes
    RDD
  126. def unpersist(blocking: Boolean): NumericDataPointsRdd.this.type

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    Definition Classes
    RDD
  127. final def wait(): Unit

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    AnyRef
    Annotations
    @throws( ... )
  128. final def wait(arg0: Long, arg1: Int): Unit

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    @throws( ... )
  129. final def wait(arg0: Long): Unit

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    @throws( ... )
  130. def zip[U](other: RDD[U])(implicit arg0: ClassTag[U]): RDD[(Row, U)]

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    Definition Classes
    RDD
  131. def zipPartitions[B, C, D, V](rdd2: RDD[B], rdd3: RDD[C], rdd4: RDD[D])(f: (Iterator[Row], Iterator[B], Iterator[C], Iterator[D]) ⇒ Iterator[V])(implicit arg0: ClassTag[B], arg1: ClassTag[C], arg2: ClassTag[D], arg3: ClassTag[V]): RDD[V]

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    Definition Classes
    RDD
  132. def zipPartitions[B, C, D, V](rdd2: RDD[B], rdd3: RDD[C], rdd4: RDD[D], preservesPartitioning: Boolean)(f: (Iterator[Row], Iterator[B], Iterator[C], Iterator[D]) ⇒ Iterator[V])(implicit arg0: ClassTag[B], arg1: ClassTag[C], arg2: ClassTag[D], arg3: ClassTag[V]): RDD[V]

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    Definition Classes
    RDD
  133. def zipPartitions[B, C, V](rdd2: RDD[B], rdd3: RDD[C])(f: (Iterator[Row], Iterator[B], Iterator[C]) ⇒ Iterator[V])(implicit arg0: ClassTag[B], arg1: ClassTag[C], arg2: ClassTag[V]): RDD[V]

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    Definition Classes
    RDD
  134. def zipPartitions[B, C, V](rdd2: RDD[B], rdd3: RDD[C], preservesPartitioning: Boolean)(f: (Iterator[Row], Iterator[B], Iterator[C]) ⇒ Iterator[V])(implicit arg0: ClassTag[B], arg1: ClassTag[C], arg2: ClassTag[V]): RDD[V]

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    Definition Classes
    RDD
  135. def zipPartitions[B, V](rdd2: RDD[B])(f: (Iterator[Row], Iterator[B]) ⇒ Iterator[V])(implicit arg0: ClassTag[B], arg1: ClassTag[V]): RDD[V]

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    Definition Classes
    RDD
  136. def zipPartitions[B, V](rdd2: RDD[B], preservesPartitioning: Boolean)(f: (Iterator[Row], Iterator[B]) ⇒ Iterator[V])(implicit arg0: ClassTag[B], arg1: ClassTag[V]): RDD[V]

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    Definition Classes
    RDD
  137. def zipWithIndex(): RDD[(Row, Long)]

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    Definition Classes
    RDD
  138. def zipWithUniqueId(): RDD[(Row, Long)]

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    Definition Classes
    RDD

Inherited from Product

Inherited from Equals

Inherited from RDD[Row]

Inherited from Logging

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped