NewHBaseRDD

Value Members

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

   

   Definition Classes

   AnyRef → Any

2. final def ##(): Int

   

   Definition Classes

   AnyRef → Any

3. def ++(other: RDD[(K, V)]): RDD[(K, V)]

   

   Definition Classes

   RDD

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

   

   Definition Classes

   AnyRef → Any

5. def aggregate[U](zeroValue: U)(seqOp: (U, (K, V)) ⇒ U, combOp: (U, U) ⇒ U)(implicit arg0: ClassTag[U]): U

   

   Definition Classes

   RDD

6. final def asInstanceOf[T0]: T0

   

   Definition Classes

   Any

7. def barrier(): RDDBarrier[(K, V)]

   

   Definition Classes

   RDD

   Annotations

   @Experimental() @Since( "2.4.0" )

8. def cache(): NewHBaseRDD.this.type

   

   Definition Classes

   RDD

9. def cartesian[U](other: RDD[U])(implicit arg0: ClassTag[U]): RDD[((K, V), U)]

   

   Definition Classes

   RDD

10. def checkpoint(): Unit

    

    Definition Classes

    RDD

11. def clearDependencies(): Unit

    

    Attributes

    protected

    Definition Classes

    RDD

12. def clone(): AnyRef

    

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

13. def coalesce(numPartitions: Int, shuffle: Boolean, partitionCoalescer: Option[PartitionCoalescer])(implicit ord: Ordering[(K, V)]): RDD[(K, V)]

    

    Definition Classes

    RDD

14. def collect[U](f: PartialFunction[(K, V), U])(implicit arg0: ClassTag[U]): RDD[U]

    

    Definition Classes

    RDD

15. def collect(): Array[(K, V)]

    

    Definition Classes

    RDD

16. def compute(theSplit: Partition, context: TaskContext): InterruptibleIterator[(K, V)]

    

    Definition Classes

    NewHBaseRDD → NewHadoopRDD → RDD

17. def context: SparkContext

    

    Definition Classes

    RDD

18. def count(): Long

    

    Definition Classes

    RDD

19. def countApprox(timeout: Long, confidence: Double): PartialResult[BoundedDouble]

    

    Definition Classes

    RDD

20. def countApproxDistinct(relativeSD: Double): Long

    

    Definition Classes

    RDD

21. def countApproxDistinct(p: Int, sp: Int): Long

    

    Definition Classes

    RDD

22. def countByValue()(implicit ord: Ordering[(K, V)]): Map[(K, V), Long]

    

    Definition Classes

    RDD

23. def countByValueApprox(timeout: Long, confidence: Double)(implicit ord: Ordering[(K, V)]): PartialResult[Map[(K, V), BoundedDouble]]

    

    Definition Classes

    RDD

24. final def dependencies: Seq[Dependency[_]]

    

    Definition Classes

    RDD

25. def distinct(): RDD[(K, V)]

    

    Definition Classes

    RDD

26. def distinct(numPartitions: Int)(implicit ord: Ordering[(K, V)]): RDD[(K, V)]

    

    Definition Classes

    RDD

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

    

    Definition Classes

    AnyRef

28. def equals(arg0: Any): Boolean

    

    Definition Classes

    AnyRef → Any

29. def filter(f: ((K, V)) ⇒ Boolean): RDD[(K, V)]

    

    Definition Classes

    RDD

30. def finalize(): Unit

    

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( classOf[java.lang.Throwable] )

31. def first(): (K, V)

    

    Definition Classes

    RDD

32. def firstParent[U](implicit arg0: ClassTag[U]): RDD[U]

    

    Attributes

    protected[org.apache.spark]

    Definition Classes

    RDD

33. def flatMap[U](f: ((K, V)) ⇒ TraversableOnce[U])(implicit arg0: ClassTag[U]): RDD[U]

    

    Definition Classes

    RDD

34. def fold(zeroValue: (K, V))(op: ((K, V), (K, V)) ⇒ (K, V)): (K, V)

    

    Definition Classes

    RDD

35. def foreach(f: ((K, V)) ⇒ Unit): Unit

    

    Definition Classes

    RDD

36. def foreachPartition(f: (Iterator[(K, V)]) ⇒ Unit): Unit

    

    Definition Classes

    RDD

37. def getCheckpointFile: Option[String]

    

    Definition Classes

    RDD

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

    

    Definition Classes

    AnyRef → Any

39. def getConf: Configuration

    

    Definition Classes

    NewHadoopRDD

40. def getDependencies: Seq[Dependency[_]]

    

    Attributes

    protected

    Definition Classes

    RDD

41. final def getNumPartitions: Int

    

    Definition Classes

    RDD

    Annotations

    @Since( "1.6.0" )

42. def getOutputDeterministicLevel: spark.rdd.DeterministicLevel.Value

    

    Attributes

    protected

    Definition Classes

    RDD

    Annotations

    @DeveloperApi()

43. def getPartitions: Array[Partition]

    

    Definition Classes

    NewHadoopRDD → RDD

44. def getPreferredLocations(hsplit: Partition): Seq[String]

    

    Definition Classes

    NewHadoopRDD → RDD

45. def getStorageLevel: StorageLevel

    

    Definition Classes

    RDD

46. def glom(): RDD[Array[(K, V)]]

    

    Definition Classes

    RDD

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

    

    Definition Classes

    RDD

48. def groupBy[K](f: ((K, V)) ⇒ K, numPartitions: Int)(implicit kt: ClassTag[K]): RDD[(K, Iterable[(K, V)])]

    

    Definition Classes

    RDD

49. def groupBy[K](f: ((K, V)) ⇒ K)(implicit kt: ClassTag[K]): RDD[(K, Iterable[(K, V)])]

    

    Definition Classes

    RDD

50. val hBaseContext: HBaseContext

    

51. def hashCode(): Int

    

    Definition Classes

    AnyRef → Any

52. val id: Int

    

    Definition Classes

    RDD

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

    

    Attributes

    protected

    Definition Classes

    Logging

54. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

    

    Attributes

    protected

    Definition Classes

    Logging

55. def intersection(other: RDD[(K, V)], numPartitions: Int): RDD[(K, V)]

    

    Definition Classes

    RDD

56. def intersection(other: RDD[(K, V)], partitioner: Partitioner)(implicit ord: Ordering[(K, V)]): RDD[(K, V)]

    

    Definition Classes

    RDD

57. def intersection(other: RDD[(K, V)]): RDD[(K, V)]

    

    Definition Classes

    RDD

58. lazy val isBarrier_: Boolean

    

    Attributes

    protected

    Definition Classes

    RDD

59. def isCheckpointed: Boolean

    

    Definition Classes

    RDD

60. def isEmpty(): Boolean

    

    Definition Classes

    RDD

61. final def isInstanceOf[T0]: Boolean

    

    Definition Classes

    Any

62. def isTraceEnabled(): Boolean

    

    Attributes

    protected

    Definition Classes

    Logging

63. final def iterator(split: Partition, context: TaskContext): Iterator[(K, V)]

    

    Definition Classes

    RDD

64. val jobId: JobID

    

    Attributes

    protected

    Definition Classes

    NewHadoopRDD

65. def keyBy[K](f: ((K, V)) ⇒ K): RDD[(K, (K, V))]

    

    Definition Classes

    RDD

66. def localCheckpoint(): NewHBaseRDD.this.type

    

    Definition Classes

    RDD

67. def log: Logger

    

    Attributes

    protected

    Definition Classes

    Logging

68. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

    

    Attributes

    protected

    Definition Classes

    Logging

69. def logDebug(msg: ⇒ String): Unit

    

    Attributes

    protected

    Definition Classes

    Logging

70. def logError(msg: ⇒ String, throwable: Throwable): Unit

    

    Attributes

    protected

    Definition Classes

    Logging

71. def logError(msg: ⇒ String): Unit

    

    Attributes

    protected

    Definition Classes

    Logging

72. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

    

    Attributes

    protected

    Definition Classes

    Logging

73. def logInfo(msg: ⇒ String): Unit

    

    Attributes

    protected

    Definition Classes

    Logging

74. def logName: String

    

    Attributes

    protected

    Definition Classes

    Logging

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

    

    Attributes

    protected

    Definition Classes

    Logging

76. def logTrace(msg: ⇒ String): Unit

    

    Attributes

    protected

    Definition Classes

    Logging

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

    

    Attributes

    protected

    Definition Classes

    Logging

78. def logWarning(msg: ⇒ String): Unit

    

    Attributes

    protected

    Definition Classes

    Logging

79. def map[U](f: ((K, V)) ⇒ U)(implicit arg0: ClassTag[U]): RDD[U]

    

    Definition Classes

    RDD

80. def mapPartitions[U](f: (Iterator[(K, V)]) ⇒ Iterator[U], preservesPartitioning: Boolean)(implicit arg0: ClassTag[U]): RDD[U]

    

    Definition Classes

    RDD

81. def mapPartitionsWithIndex[U](f: (Int, Iterator[(K, V)]) ⇒ Iterator[U], preservesPartitioning: Boolean)(implicit arg0: ClassTag[U]): RDD[U]

    

    Definition Classes

    RDD

82. def mapPartitionsWithInputSplit[U](f: (InputSplit, Iterator[(K, V)]) ⇒ Iterator[U], preservesPartitioning: Boolean)(implicit arg0: ClassTag[U]): RDD[U]

    

    Definition Classes

    NewHadoopRDD

    Annotations

    @DeveloperApi()

83. def max()(implicit ord: Ordering[(K, V)]): (K, V)

    

    Definition Classes

    RDD

84. def min()(implicit ord: Ordering[(K, V)]): (K, V)

    

    Definition Classes

    RDD

85. var name: String

    

    Definition Classes

    RDD

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

    

    Definition Classes

    AnyRef

87. final def notify(): Unit

    

    Definition Classes

    AnyRef

88. final def notifyAll(): Unit

    

    Definition Classes

    AnyRef

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

    

    Attributes

    protected[org.apache.spark]

    Definition Classes

    RDD

90. val partitioner: Option[Partitioner]

    

    Definition Classes

    RDD

91. final def partitions: Array[Partition]

    

    Definition Classes

    RDD

92. def persist(storageLevel: StorageLevel): NewHBaseRDD.this.type

    

    Definition Classes

    NewHadoopRDD → RDD

93. def persist(): NewHBaseRDD.this.type

    

    Definition Classes

    RDD

94. def pipe(command: Seq[String], env: Map[String, String], printPipeContext: ((String) ⇒ Unit) ⇒ Unit, printRDDElement: ((K, V), (String) ⇒ Unit) ⇒ Unit, separateWorkingDir: Boolean, bufferSize: Int, encoding: String): RDD[String]

    

    Definition Classes

    RDD

95. def pipe(command: String, env: Map[String, String]): RDD[String]

    

    Definition Classes

    RDD

96. def pipe(command: String): RDD[String]

    

    Definition Classes

    RDD

97. final def preferredLocations(split: Partition): Seq[String]

    

    Definition Classes

    RDD

98. def randomSplit(weights: Array[Double], seed: Long): Array[RDD[(K, V)]]

    

    Definition Classes

    RDD

99. def reduce(f: ((K, V), (K, V)) ⇒ (K, V)): (K, V)

    

    Definition Classes

    RDD

100. def repartition(numPartitions: Int)(implicit ord: Ordering[(K, V)]): RDD[(K, V)]

     

     Definition Classes

     RDD

101. def sample(withReplacement: Boolean, fraction: Double, seed: Long): RDD[(K, V)]

     

     Definition Classes

     RDD

102. def saveAsObjectFile(path: String): Unit

     

     Definition Classes

     RDD

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

     

     Definition Classes

     RDD

104. def saveAsTextFile(path: String): Unit

     

     Definition Classes

     RDD

105. def setName(_name: String): NewHBaseRDD.this.type

     

     Definition Classes

     RDD

106. def sortBy[K](f: ((K, V)) ⇒ K, ascending: Boolean, numPartitions: Int)(implicit ord: Ordering[K], ctag: ClassTag[K]): RDD[(K, V)]

     

     Definition Classes

     RDD

107. def sparkContext: SparkContext

     

     Definition Classes

     RDD

108. def subtract(other: RDD[(K, V)], p: Partitioner)(implicit ord: Ordering[(K, V)]): RDD[(K, V)]

     

     Definition Classes

     RDD

109. def subtract(other: RDD[(K, V)], numPartitions: Int): RDD[(K, V)]

     

     Definition Classes

     RDD

110. def subtract(other: RDD[(K, V)]): RDD[(K, V)]

     

     Definition Classes

     RDD

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

     

     Definition Classes

     AnyRef

112. def take(num: Int): Array[(K, V)]

     

     Definition Classes

     RDD

113. def takeOrdered(num: Int)(implicit ord: Ordering[(K, V)]): Array[(K, V)]

     

     Definition Classes

     RDD

114. def takeSample(withReplacement: Boolean, num: Int, seed: Long): Array[(K, V)]

     

     Definition Classes

     RDD

115. def toDebugString: String

     

     Definition Classes

     RDD

116. def toJavaRDD(): JavaRDD[(K, V)]

     

     Definition Classes

     RDD

117. def toLocalIterator: Iterator[(K, V)]

     

     Definition Classes

     RDD

118. def toString(): String

     

     Definition Classes

     RDD → AnyRef → Any

119. def top(num: Int)(implicit ord: Ordering[(K, V)]): Array[(K, V)]

     

     Definition Classes

     RDD

120. def treeAggregate[U](zeroValue: U)(seqOp: (U, (K, V)) ⇒ U, combOp: (U, U) ⇒ U, depth: Int)(implicit arg0: ClassTag[U]): U

     

     Definition Classes

     RDD

121. def treeReduce(f: ((K, V), (K, V)) ⇒ (K, V), depth: Int): (K, V)

     

     Definition Classes

     RDD

122. def union(other: RDD[(K, V)]): RDD[(K, V)]

     

     Definition Classes

     RDD

123. def unpersist(blocking: Boolean): NewHBaseRDD.this.type

     

     Definition Classes

     RDD

124. final def wait(): Unit

     

     Definition Classes

     AnyRef

     Annotations

     @throws( ... )

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

     

     Definition Classes

     AnyRef

     Annotations

     @throws( ... )

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

     

     Definition Classes

     AnyRef

     Annotations

     @throws( ... )

127. def zip[U](other: RDD[U])(implicit arg0: ClassTag[U]): RDD[((K, V), U)]

     

     Definition Classes

     RDD

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

     

     Definition Classes

     RDD

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

     

     Definition Classes

     RDD

130. def zipPartitions[B, C, V](rdd2: RDD[B], rdd3: RDD[C])(f: (Iterator[(K, V)], Iterator[B], Iterator[C]) ⇒ Iterator[V])(implicit arg0: ClassTag[B], arg1: ClassTag[C], arg2: ClassTag[V]): RDD[V]

     

     Definition Classes

     RDD

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

     

     Definition Classes

     RDD

132. def zipPartitions[B, V](rdd2: RDD[B])(f: (Iterator[(K, V)], Iterator[B]) ⇒ Iterator[V])(implicit arg0: ClassTag[B], arg1: ClassTag[V]): RDD[V]

     

     Definition Classes

     RDD

133. def zipPartitions[B, V](rdd2: RDD[B], preservesPartitioning: Boolean)(f: (Iterator[(K, V)], Iterator[B]) ⇒ Iterator[V])(implicit arg0: ClassTag[B], arg1: ClassTag[V]): RDD[V]

     

     Definition Classes

     RDD

134. def zipWithIndex(): RDD[((K, V), Long)]

     

     Definition Classes

     RDD

135. def zipWithUniqueId(): RDD[((K, V), Long)]

     

     Definition Classes

     RDD