class DataRowRDD extends RDD[DataRow] with TsdbResultBase[RDD]

Linear Supertypes
TsdbResultBase[RDD], RDD[DataRow], Logging, Serializable, Serializable, AnyRef, Any
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Inherited
  1. DataRowRDD
  2. TsdbResultBase
  3. RDD
  4. Logging
  5. Serializable
  6. Serializable
  7. AnyRef
  8. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new DataRowRDD(rows: RDD[Array[Option[Any]]], queryContext: QueryContext)

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. def ++(other: RDD[DataRow]): RDD[DataRow]
    Definition Classes
    RDD
  4. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  5. def aggregate[U](zeroValue: U)(seqOp: (U, DataRow) ⇒ 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[DataRow]
    Definition Classes
    RDD
    Annotations
    @Experimental() @Since( "2.4.0" )
  8. def cache(): DataRowRDD.this.type
    Definition Classes
    RDD
  9. def cartesian[U](other: RDD[U])(implicit arg0: ClassTag[U]): RDD[(DataRow, 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[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  13. def coalesce(numPartitions: Int, shuffle: Boolean, partitionCoalescer: Option[PartitionCoalescer])(implicit ord: Ordering[DataRow]): RDD[DataRow]
    Definition Classes
    RDD
  14. def collect[U](f: PartialFunction[DataRow, U])(implicit arg0: ClassTag[U]): RDD[U]
    Definition Classes
    RDD
  15. def collect(): Array[DataRow]
    Definition Classes
    RDD
  16. def compute(split: Partition, context: TaskContext): Iterator[DataRow]
    Definition Classes
    DataRowRDD → 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[DataRow]): Map[DataRow, Long]
    Definition Classes
    RDD
  23. def countByValueApprox(timeout: Long, confidence: Double)(implicit ord: Ordering[DataRow]): PartialResult[Map[DataRow, BoundedDouble]]
    Definition Classes
    RDD
  24. def dataIndexForFieldIndex(idx: Int): Int
    Definition Classes
    TsdbResultBase
  25. def dataIndexForFieldName(name: String): Int
    Definition Classes
    TsdbResultBase
  26. final def dependencies: Seq[Dependency[_]]
    Definition Classes
    RDD
  27. def distinct(): RDD[DataRow]
    Definition Classes
    RDD
  28. def distinct(numPartitions: Int)(implicit ord: Ordering[DataRow]): RDD[DataRow]
    Definition Classes
    RDD
  29. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  30. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  31. lazy val fieldIndex: Array[Int]
    Attributes
    protected
    Definition Classes
    TsdbResultBase
  32. def filter(f: (DataRow) ⇒ Boolean): RDD[DataRow]
    Definition Classes
    RDD
  33. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  34. def first(): DataRow
    Definition Classes
    RDD
  35. def firstParent[U](implicit arg0: ClassTag[U]): RDD[U]
    Attributes
    protected[apache.spark]
    Definition Classes
    RDD
  36. def flatMap[U](f: (DataRow) ⇒ TraversableOnce[U])(implicit arg0: ClassTag[U]): RDD[U]
    Definition Classes
    RDD
  37. def fold(zeroValue: DataRow)(op: (DataRow, DataRow) ⇒ DataRow): DataRow
    Definition Classes
    RDD
  38. def foreach(f: (DataRow) ⇒ Unit): Unit
    Definition Classes
    RDD
  39. def foreachPartition(f: (Iterator[DataRow]) ⇒ Unit): Unit
    Definition Classes
    RDD
  40. def getCheckpointFile: Option[String]
    Definition Classes
    RDD
  41. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  42. def getDependencies: Seq[Dependency[_]]
    Attributes
    protected
    Definition Classes
    RDD
  43. final def getNumPartitions: Int
    Definition Classes
    RDD
    Annotations
    @Since( "1.6.0" )
  44. def getOutputDeterministicLevel: apache.spark.rdd.DeterministicLevel.Value
    Attributes
    protected
    Definition Classes
    RDD
    Annotations
    @DeveloperApi()
  45. def getPartitions: Array[Partition]
    Attributes
    protected
    Definition Classes
    DataRowRDD → RDD
  46. def getPreferredLocations(split: Partition): Seq[String]
    Attributes
    protected
    Definition Classes
    RDD
  47. def getStorageLevel: StorageLevel
    Definition Classes
    RDD
  48. def glom(): RDD[Array[DataRow]]
    Definition Classes
    RDD
  49. def groupBy[K](f: (DataRow) ⇒ K, p: Partitioner)(implicit kt: ClassTag[K], ord: Ordering[K]): RDD[(K, Iterable[DataRow])]
    Definition Classes
    RDD
  50. def groupBy[K](f: (DataRow) ⇒ K, numPartitions: Int)(implicit kt: ClassTag[K]): RDD[(K, Iterable[DataRow])]
    Definition Classes
    RDD
  51. def groupBy[K](f: (DataRow) ⇒ K)(implicit kt: ClassTag[K]): RDD[(K, Iterable[DataRow])]
    Definition Classes
    RDD
  52. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  53. val id: Int
    Definition Classes
    RDD
  54. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  55. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  56. def intersection(other: RDD[DataRow], numPartitions: Int): RDD[DataRow]
    Definition Classes
    RDD
  57. def intersection(other: RDD[DataRow], partitioner: Partitioner)(implicit ord: Ordering[DataRow]): RDD[DataRow]
    Definition Classes
    RDD
  58. def intersection(other: RDD[DataRow]): RDD[DataRow]
    Definition Classes
    RDD
  59. lazy val isBarrier_: Boolean
    Attributes
    protected
    Definition Classes
    RDD
    Annotations
    @transient()
  60. def isCheckpointed: Boolean
    Definition Classes
    RDD
  61. def isEmpty(): Boolean
    Definition Classes
    RDD
  62. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  63. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  64. final def iterator(split: Partition, context: TaskContext): Iterator[DataRow]
    Definition Classes
    RDD
  65. def keyBy[K](f: (DataRow) ⇒ K): RDD[(K, DataRow)]
    Definition Classes
    RDD
  66. def localCheckpoint(): DataRowRDD.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: (DataRow) ⇒ U)(implicit arg0: ClassTag[U]): RDD[U]
    Definition Classes
    RDD
  80. def mapPartitions[U](f: (Iterator[DataRow]) ⇒ Iterator[U], preservesPartitioning: Boolean)(implicit arg0: ClassTag[U]): RDD[U]
    Definition Classes
    RDD
  81. def mapPartitionsWithIndex[U](f: (Int, Iterator[DataRow]) ⇒ Iterator[U], preservesPartitioning: Boolean)(implicit arg0: ClassTag[U]): RDD[U]
    Definition Classes
    RDD
  82. def max()(implicit ord: Ordering[DataRow]): DataRow
    Definition Classes
    RDD
  83. def min()(implicit ord: Ordering[DataRow]): DataRow
    Definition Classes
    RDD
  84. var name: String
    Definition Classes
    RDD
  85. val nameIndex: Seq[(String, Int)]
    Attributes
    protected
    Definition Classes
    TsdbResultBase
  86. lazy val nameIndexMap: Map[String, Int]
    Attributes
    protected
    Definition Classes
    TsdbResultBase
  87. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  88. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  89. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  90. def parent[U](j: Int)(implicit arg0: ClassTag[U]): RDD[U]
    Attributes
    protected[apache.spark]
    Definition Classes
    RDD
  91. val partitioner: Option[Partitioner]
    Definition Classes
    RDD
  92. final def partitions: Array[Partition]
    Definition Classes
    RDD
  93. def persist(): DataRowRDD.this.type
    Definition Classes
    RDD
  94. def persist(newLevel: StorageLevel): DataRowRDD.this.type
    Definition Classes
    RDD
  95. def pipe(command: Seq[String], env: Map[String, String], printPipeContext: ((String) ⇒ Unit) ⇒ Unit, printRDDElement: (DataRow, (String) ⇒ Unit) ⇒ Unit, separateWorkingDir: Boolean, bufferSize: Int, encoding: String): RDD[String]
    Definition Classes
    RDD
  96. def pipe(command: String, env: Map[String, String]): RDD[String]
    Definition Classes
    RDD
  97. def pipe(command: String): RDD[String]
    Definition Classes
    RDD
  98. final def preferredLocations(split: Partition): Seq[String]
    Definition Classes
    RDD
  99. val queryContext: QueryContext
    Definition Classes
    DataRowRDD → TsdbResultBase
  100. def randomSplit(weights: Array[Double], seed: Long): Array[RDD[DataRow]]
    Definition Classes
    RDD
  101. def reduce(f: (DataRow, DataRow) ⇒ DataRow): DataRow
    Definition Classes
    RDD
  102. def repartition(numPartitions: Int)(implicit ord: Ordering[DataRow]): RDD[DataRow]
    Definition Classes
    RDD
  103. val rows: RDD[Array[Option[Any]]]
    Definition Classes
    DataRowRDD → TsdbResultBase
  104. def sample(withReplacement: Boolean, fraction: Double, seed: Long): RDD[DataRow]
    Definition Classes
    RDD
  105. def saveAsObjectFile(path: String): Unit
    Definition Classes
    RDD
  106. def saveAsTextFile(path: String, codec: Class[_ <: CompressionCodec]): Unit
    Definition Classes
    RDD
  107. def saveAsTextFile(path: String): Unit
    Definition Classes
    RDD
  108. def setName(_name: String): DataRowRDD.this.type
    Definition Classes
    RDD
  109. def sortBy[K](f: (DataRow) ⇒ K, ascending: Boolean, numPartitions: Int)(implicit ord: Ordering[K], ctag: ClassTag[K]): RDD[DataRow]
    Definition Classes
    RDD
  110. def sparkContext: SparkContext
    Definition Classes
    RDD
  111. def subtract(other: RDD[DataRow], p: Partitioner)(implicit ord: Ordering[DataRow]): RDD[DataRow]
    Definition Classes
    RDD
  112. def subtract(other: RDD[DataRow], numPartitions: Int): RDD[DataRow]
    Definition Classes
    RDD
  113. def subtract(other: RDD[DataRow]): RDD[DataRow]
    Definition Classes
    RDD
  114. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  115. def take(num: Int): Array[DataRow]
    Definition Classes
    RDD
  116. def takeOrdered(num: Int)(implicit ord: Ordering[DataRow]): Array[DataRow]
    Definition Classes
    RDD
  117. def takeSample(withReplacement: Boolean, num: Int, seed: Long): Array[DataRow]
    Definition Classes
    RDD
  118. def toDF(spark: SparkSession): DataFrame
  119. def toDebugString: String
    Definition Classes
    RDD
  120. def toJavaRDD(): JavaRDD[DataRow]
    Definition Classes
    RDD
  121. def toLocalIterator: Iterator[DataRow]
    Definition Classes
    RDD
  122. def toString(): String
    Definition Classes
    RDD → AnyRef → Any
  123. def top(num: Int)(implicit ord: Ordering[DataRow]): Array[DataRow]
    Definition Classes
    RDD
  124. def treeAggregate[U](zeroValue: U)(seqOp: (U, DataRow) ⇒ U, combOp: (U, U) ⇒ U, depth: Int)(implicit arg0: ClassTag[U]): U
    Definition Classes
    RDD
  125. def treeReduce(f: (DataRow, DataRow) ⇒ DataRow, depth: Int): DataRow
    Definition Classes
    RDD
  126. def union(other: RDD[DataRow]): RDD[DataRow]
    Definition Classes
    RDD
  127. def unpersist(blocking: Boolean): DataRowRDD.this.type
    Definition Classes
    RDD
  128. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  129. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  130. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  131. def zip[U](other: RDD[U])(implicit arg0: ClassTag[U]): RDD[(DataRow, U)]
    Definition Classes
    RDD
  132. def zipPartitions[B, C, D, V](rdd2: RDD[B], rdd3: RDD[C], rdd4: RDD[D])(f: (Iterator[DataRow], 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
  133. def zipPartitions[B, C, D, V](rdd2: RDD[B], rdd3: RDD[C], rdd4: RDD[D], preservesPartitioning: Boolean)(f: (Iterator[DataRow], 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
  134. def zipPartitions[B, C, V](rdd2: RDD[B], rdd3: RDD[C])(f: (Iterator[DataRow], Iterator[B], Iterator[C]) ⇒ Iterator[V])(implicit arg0: ClassTag[B], arg1: ClassTag[C], arg2: ClassTag[V]): RDD[V]
    Definition Classes
    RDD
  135. def zipPartitions[B, C, V](rdd2: RDD[B], rdd3: RDD[C], preservesPartitioning: Boolean)(f: (Iterator[DataRow], Iterator[B], Iterator[C]) ⇒ Iterator[V])(implicit arg0: ClassTag[B], arg1: ClassTag[C], arg2: ClassTag[V]): RDD[V]
    Definition Classes
    RDD
  136. def zipPartitions[B, V](rdd2: RDD[B])(f: (Iterator[DataRow], Iterator[B]) ⇒ Iterator[V])(implicit arg0: ClassTag[B], arg1: ClassTag[V]): RDD[V]
    Definition Classes
    RDD
  137. def zipPartitions[B, V](rdd2: RDD[B], preservesPartitioning: Boolean)(f: (Iterator[DataRow], Iterator[B]) ⇒ Iterator[V])(implicit arg0: ClassTag[B], arg1: ClassTag[V]): RDD[V]
    Definition Classes
    RDD
  138. def zipWithIndex(): RDD[(DataRow, Long)]
    Definition Classes
    RDD
  139. def zipWithUniqueId(): RDD[(DataRow, Long)]
    Definition Classes
    RDD

Inherited from TsdbResultBase[RDD]

Inherited from RDD[DataRow]

Inherited from Logging

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped