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c

org.apache.spark.sql.rapids

GpuCartesianRDD

class GpuCartesianRDD extends RDD[ColumnarBatch] with Serializable with Arm

Linear Supertypes
Arm, RDD[ColumnarBatch], Logging, Serializable, Serializable, AnyRef, Any
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Inherited
  1. GpuCartesianRDD
  2. Arm
  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 GpuCartesianRDD(sc: SparkContext, boundCondition: Option[GpuExpression], numFirstTableColumns: Int, streamAttributes: Seq[Attribute], spillCallback: SpillCallback, targetSize: Long, opTime: GpuMetric, joinTime: GpuMetric, joinOutputRows: GpuMetric, numOutputRows: GpuMetric, numOutputBatches: GpuMetric, rdd1: RDD[GpuSerializableBatch], rdd2: RDD[GpuSerializableBatch])

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. def ++(other: RDD[ColumnarBatch]): RDD[ColumnarBatch]
    Definition Classes
    RDD
  4. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  5. def aggregate[U](zeroValue: U)(seqOp: (U, ColumnarBatch) ⇒ 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[ColumnarBatch]
    Definition Classes
    RDD
    Annotations
    @Experimental() @Since( "2.4.0" )
  8. def cache(): GpuCartesianRDD.this.type
    Definition Classes
    RDD
  9. def cartesian[U](other: RDD[U])(implicit arg0: ClassTag[U]): RDD[(ColumnarBatch, U)]
    Definition Classes
    RDD
  10. def checkpoint(): Unit
    Definition Classes
    RDD
  11. def cleanShuffleDependencies(blocking: Boolean): Unit
    Definition Classes
    RDD
    Annotations
    @Experimental() @DeveloperApi() @Since( "3.1.0" )
  12. def clearDependencies(): Unit
    Definition Classes
    GpuCartesianRDD → RDD
  13. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native() @HotSpotIntrinsicCandidate()
  14. def closeOnExcept[T <: AutoCloseable, V](r: Option[T])(block: (Option[T]) ⇒ V): V

    Executes the provided code block, closing the resources only if an exception occurs

    Executes the provided code block, closing the resources only if an exception occurs

    Definition Classes
    Arm
  15. def closeOnExcept[T <: AutoCloseable, V](r: ArrayBuffer[T])(block: (ArrayBuffer[T]) ⇒ V): V

    Executes the provided code block, closing the resources only if an exception occurs

    Executes the provided code block, closing the resources only if an exception occurs

    Definition Classes
    Arm
  16. def closeOnExcept[T <: AutoCloseable, V](r: Array[T])(block: (Array[T]) ⇒ V): V

    Executes the provided code block, closing the resources only if an exception occurs

    Executes the provided code block, closing the resources only if an exception occurs

    Definition Classes
    Arm
  17. def closeOnExcept[T <: AutoCloseable, V](r: Seq[T])(block: (Seq[T]) ⇒ V): V

    Executes the provided code block, closing the resources only if an exception occurs

    Executes the provided code block, closing the resources only if an exception occurs

    Definition Classes
    Arm
  18. def closeOnExcept[T <: AutoCloseable, V](r: T)(block: (T) ⇒ V): V

    Executes the provided code block, closing the resource only if an exception occurs

    Executes the provided code block, closing the resource only if an exception occurs

    Definition Classes
    Arm
  19. def coalesce(numPartitions: Int, shuffle: Boolean, partitionCoalescer: Option[PartitionCoalescer])(implicit ord: Ordering[ColumnarBatch]): RDD[ColumnarBatch]
    Definition Classes
    RDD
  20. def collect[U](f: PartialFunction[ColumnarBatch, U])(implicit arg0: ClassTag[U]): RDD[U]
    Definition Classes
    RDD
  21. def collect(): Array[ColumnarBatch]
    Definition Classes
    RDD
  22. def compute(split: Partition, context: TaskContext): Iterator[ColumnarBatch]
    Definition Classes
    GpuCartesianRDD → RDD
  23. def context: SparkContext
    Definition Classes
    RDD
  24. def count(): Long
    Definition Classes
    RDD
  25. def countApprox(timeout: Long, confidence: Double): PartialResult[BoundedDouble]
    Definition Classes
    RDD
  26. def countApproxDistinct(relativeSD: Double): Long
    Definition Classes
    RDD
  27. def countApproxDistinct(p: Int, sp: Int): Long
    Definition Classes
    RDD
  28. def countByValue()(implicit ord: Ordering[ColumnarBatch]): Map[ColumnarBatch, Long]
    Definition Classes
    RDD
  29. def countByValueApprox(timeout: Long, confidence: Double)(implicit ord: Ordering[ColumnarBatch]): PartialResult[Map[ColumnarBatch, BoundedDouble]]
    Definition Classes
    RDD
  30. final def dependencies: Seq[Dependency[_]]
    Definition Classes
    RDD
  31. def distinct(): RDD[ColumnarBatch]
    Definition Classes
    RDD
  32. def distinct(numPartitions: Int)(implicit ord: Ordering[ColumnarBatch]): RDD[ColumnarBatch]
    Definition Classes
    RDD
  33. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  34. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  35. def filter(f: (ColumnarBatch) ⇒ Boolean): RDD[ColumnarBatch]
    Definition Classes
    RDD
  36. def first(): ColumnarBatch
    Definition Classes
    RDD
  37. def firstParent[U](implicit arg0: ClassTag[U]): RDD[U]
    Attributes
    protected[spark]
    Definition Classes
    RDD
  38. def flatMap[U](f: (ColumnarBatch) ⇒ TraversableOnce[U])(implicit arg0: ClassTag[U]): RDD[U]
    Definition Classes
    RDD
  39. def fold(zeroValue: ColumnarBatch)(op: (ColumnarBatch, ColumnarBatch) ⇒ ColumnarBatch): ColumnarBatch
    Definition Classes
    RDD
  40. def foreach(f: (ColumnarBatch) ⇒ Unit): Unit
    Definition Classes
    RDD
  41. def foreachPartition(f: (Iterator[ColumnarBatch]) ⇒ Unit): Unit
    Definition Classes
    RDD
  42. def freeOnExcept[T <: RapidsBuffer, V](r: T)(block: (T) ⇒ V): V

    Executes the provided code block, freeing the RapidsBuffer only if an exception occurs

    Executes the provided code block, freeing the RapidsBuffer only if an exception occurs

    Definition Classes
    Arm
  43. def getCheckpointFile: Option[String]
    Definition Classes
    RDD
  44. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  45. def getDependencies: Seq[Dependency[_]]
    Definition Classes
    GpuCartesianRDD → RDD
  46. final def getNumPartitions: Int
    Definition Classes
    RDD
    Annotations
    @Since( "1.6.0" )
  47. def getOutputDeterministicLevel: rdd.DeterministicLevel.Value
    Attributes
    protected
    Definition Classes
    RDD
    Annotations
    @DeveloperApi()
  48. def getPartitions: Array[Partition]
    Definition Classes
    GpuCartesianRDD → RDD
  49. def getPreferredLocations(split: Partition): Seq[String]
    Definition Classes
    GpuCartesianRDD → RDD
  50. def getResourceProfile(): ResourceProfile
    Definition Classes
    RDD
    Annotations
    @Experimental() @Since( "3.1.0" )
  51. def getStorageLevel: StorageLevel
    Definition Classes
    RDD
  52. def glom(): RDD[Array[ColumnarBatch]]
    Definition Classes
    RDD
  53. def groupBy[K](f: (ColumnarBatch) ⇒ K, p: Partitioner)(implicit kt: ClassTag[K], ord: Ordering[K]): RDD[(K, Iterable[ColumnarBatch])]
    Definition Classes
    RDD
  54. def groupBy[K](f: (ColumnarBatch) ⇒ K, numPartitions: Int)(implicit kt: ClassTag[K]): RDD[(K, Iterable[ColumnarBatch])]
    Definition Classes
    RDD
  55. def groupBy[K](f: (ColumnarBatch) ⇒ K)(implicit kt: ClassTag[K]): RDD[(K, Iterable[ColumnarBatch])]
    Definition Classes
    RDD
  56. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  57. val id: Int
    Definition Classes
    RDD
  58. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  59. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  60. def intersection(other: RDD[ColumnarBatch], numPartitions: Int): RDD[ColumnarBatch]
    Definition Classes
    RDD
  61. def intersection(other: RDD[ColumnarBatch], partitioner: Partitioner)(implicit ord: Ordering[ColumnarBatch]): RDD[ColumnarBatch]
    Definition Classes
    RDD
  62. def intersection(other: RDD[ColumnarBatch]): RDD[ColumnarBatch]
    Definition Classes
    RDD
  63. lazy val isBarrier_: Boolean
    Attributes
    protected
    Definition Classes
    RDD
    Annotations
    @transient()
  64. def isCheckpointed: Boolean
    Definition Classes
    RDD
  65. def isEmpty(): Boolean
    Definition Classes
    RDD
  66. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  67. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  68. final def iterator(split: Partition, context: TaskContext): Iterator[ColumnarBatch]
    Definition Classes
    RDD
  69. def keyBy[K](f: (ColumnarBatch) ⇒ K): RDD[(K, ColumnarBatch)]
    Definition Classes
    RDD
  70. def localCheckpoint(): GpuCartesianRDD.this.type
    Definition Classes
    RDD
  71. def log: Logger
    Attributes
    protected
    Definition Classes
    Logging
  72. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  73. def logDebug(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  74. def logError(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  75. def logError(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  76. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  77. def logInfo(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  78. def logName: String
    Attributes
    protected
    Definition Classes
    Logging
  79. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  80. def logTrace(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  81. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  82. def logWarning(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  83. def map[U](f: (ColumnarBatch) ⇒ U)(implicit arg0: ClassTag[U]): RDD[U]
    Definition Classes
    RDD
  84. def mapPartitions[U](f: (Iterator[ColumnarBatch]) ⇒ Iterator[U], preservesPartitioning: Boolean)(implicit arg0: ClassTag[U]): RDD[U]
    Definition Classes
    RDD
  85. def mapPartitionsWithIndex[U](f: (Int, Iterator[ColumnarBatch]) ⇒ Iterator[U], preservesPartitioning: Boolean)(implicit arg0: ClassTag[U]): RDD[U]
    Definition Classes
    RDD
  86. def max()(implicit ord: Ordering[ColumnarBatch]): ColumnarBatch
    Definition Classes
    RDD
  87. def min()(implicit ord: Ordering[ColumnarBatch]): ColumnarBatch
    Definition Classes
    RDD
  88. var name: String
    Definition Classes
    RDD
  89. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  90. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  91. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  92. def parent[U](j: Int)(implicit arg0: ClassTag[U]): RDD[U]
    Attributes
    protected[spark]
    Definition Classes
    RDD
  93. val partitioner: Option[Partitioner]
    Definition Classes
    RDD
  94. final def partitions: Array[Partition]
    Definition Classes
    RDD
  95. def persist(): GpuCartesianRDD.this.type
    Definition Classes
    RDD
  96. def persist(newLevel: StorageLevel): GpuCartesianRDD.this.type
    Definition Classes
    RDD
  97. def pipe(command: Seq[String], env: Map[String, String], printPipeContext: ((String) ⇒ Unit) ⇒ Unit, printRDDElement: (ColumnarBatch, (String) ⇒ Unit) ⇒ Unit, separateWorkingDir: Boolean, bufferSize: Int, encoding: String): RDD[String]
    Definition Classes
    RDD
  98. def pipe(command: String, env: Map[String, String]): RDD[String]
    Definition Classes
    RDD
  99. def pipe(command: String): RDD[String]
    Definition Classes
    RDD
  100. final def preferredLocations(split: Partition): Seq[String]
    Definition Classes
    RDD
  101. def randomSplit(weights: Array[Double], seed: Long): Array[RDD[ColumnarBatch]]
    Definition Classes
    RDD
  102. var rdd1: RDD[GpuSerializableBatch]
  103. var rdd2: RDD[GpuSerializableBatch]
  104. def reduce(f: (ColumnarBatch, ColumnarBatch) ⇒ ColumnarBatch): ColumnarBatch
    Definition Classes
    RDD
  105. def repartition(numPartitions: Int)(implicit ord: Ordering[ColumnarBatch]): RDD[ColumnarBatch]
    Definition Classes
    RDD
  106. def sample(withReplacement: Boolean, fraction: Double, seed: Long): RDD[ColumnarBatch]
    Definition Classes
    RDD
  107. def saveAsObjectFile(path: String): Unit
    Definition Classes
    RDD
  108. def saveAsTextFile(path: String, codec: Class[_ <: CompressionCodec]): Unit
    Definition Classes
    RDD
  109. def saveAsTextFile(path: String): Unit
    Definition Classes
    RDD
  110. def setName(_name: String): GpuCartesianRDD.this.type
    Definition Classes
    RDD
  111. def sortBy[K](f: (ColumnarBatch) ⇒ K, ascending: Boolean, numPartitions: Int)(implicit ord: Ordering[K], ctag: ClassTag[K]): RDD[ColumnarBatch]
    Definition Classes
    RDD
  112. def sparkContext: SparkContext
    Definition Classes
    RDD
  113. def subtract(other: RDD[ColumnarBatch], p: Partitioner)(implicit ord: Ordering[ColumnarBatch]): RDD[ColumnarBatch]
    Definition Classes
    RDD
  114. def subtract(other: RDD[ColumnarBatch], numPartitions: Int): RDD[ColumnarBatch]
    Definition Classes
    RDD
  115. def subtract(other: RDD[ColumnarBatch]): RDD[ColumnarBatch]
    Definition Classes
    RDD
  116. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  117. def take(num: Int): Array[ColumnarBatch]
    Definition Classes
    RDD
  118. def takeOrdered(num: Int)(implicit ord: Ordering[ColumnarBatch]): Array[ColumnarBatch]
    Definition Classes
    RDD
  119. def takeSample(withReplacement: Boolean, num: Int, seed: Long): Array[ColumnarBatch]
    Definition Classes
    RDD
  120. def toDebugString: String
    Definition Classes
    RDD
  121. def toJavaRDD(): JavaRDD[ColumnarBatch]
    Definition Classes
    RDD
  122. def toLocalIterator: Iterator[ColumnarBatch]
    Definition Classes
    RDD
  123. def toString(): String
    Definition Classes
    RDD → AnyRef → Any
  124. def top(num: Int)(implicit ord: Ordering[ColumnarBatch]): Array[ColumnarBatch]
    Definition Classes
    RDD
  125. def treeAggregate[U](zeroValue: U)(seqOp: (U, ColumnarBatch) ⇒ U, combOp: (U, U) ⇒ U, depth: Int)(implicit arg0: ClassTag[U]): U
    Definition Classes
    RDD
  126. def treeReduce(f: (ColumnarBatch, ColumnarBatch) ⇒ ColumnarBatch, depth: Int): ColumnarBatch
    Definition Classes
    RDD
  127. def union(other: RDD[ColumnarBatch]): RDD[ColumnarBatch]
    Definition Classes
    RDD
  128. def unpersist(blocking: Boolean): GpuCartesianRDD.this.type
    Definition Classes
    RDD
  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. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  132. def withResource[T <: AutoCloseable, V](h: CloseableHolder[T])(block: (CloseableHolder[T]) ⇒ V): V

    Executes the provided code block and then closes the resource

    Executes the provided code block and then closes the resource

    Definition Classes
    Arm
  133. def withResource[T <: AutoCloseable, V](r: ArrayBuffer[T])(block: (ArrayBuffer[T]) ⇒ V): V

    Executes the provided code block and then closes the array buffer of resources

    Executes the provided code block and then closes the array buffer of resources

    Definition Classes
    Arm
  134. def withResource[T <: AutoCloseable, V](r: Array[T])(block: (Array[T]) ⇒ V): V

    Executes the provided code block and then closes the array of resources

    Executes the provided code block and then closes the array of resources

    Definition Classes
    Arm
  135. def withResource[T <: AutoCloseable, V](r: Seq[T])(block: (Seq[T]) ⇒ V): V

    Executes the provided code block and then closes the sequence of resources

    Executes the provided code block and then closes the sequence of resources

    Definition Classes
    Arm
  136. def withResource[T <: AutoCloseable, V](r: Option[T])(block: (Option[T]) ⇒ V): V

    Executes the provided code block and then closes the Option[resource]

    Executes the provided code block and then closes the Option[resource]

    Definition Classes
    Arm
  137. def withResource[T <: AutoCloseable, V](r: T)(block: (T) ⇒ V): V

    Executes the provided code block and then closes the resource

    Executes the provided code block and then closes the resource

    Definition Classes
    Arm
  138. def withResourceIfAllowed[T, V](r: T)(block: (T) ⇒ V): V

    Executes the provided code block and then closes the value if it is AutoCloseable

    Executes the provided code block and then closes the value if it is AutoCloseable

    Definition Classes
    Arm
  139. def withResources(rp: ResourceProfile): GpuCartesianRDD.this.type
    Definition Classes
    RDD
    Annotations
    @Experimental() @Since( "3.1.0" )
  140. def zip[U](other: RDD[U])(implicit arg0: ClassTag[U]): RDD[(ColumnarBatch, U)]
    Definition Classes
    RDD
  141. def zipPartitions[B, C, D, V](rdd2: RDD[B], rdd3: RDD[C], rdd4: RDD[D])(f: (Iterator[ColumnarBatch], 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
  142. def zipPartitions[B, C, D, V](rdd2: RDD[B], rdd3: RDD[C], rdd4: RDD[D], preservesPartitioning: Boolean)(f: (Iterator[ColumnarBatch], 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
  143. def zipPartitions[B, C, V](rdd2: RDD[B], rdd3: RDD[C])(f: (Iterator[ColumnarBatch], Iterator[B], Iterator[C]) ⇒ Iterator[V])(implicit arg0: ClassTag[B], arg1: ClassTag[C], arg2: ClassTag[V]): RDD[V]
    Definition Classes
    RDD
  144. def zipPartitions[B, C, V](rdd2: RDD[B], rdd3: RDD[C], preservesPartitioning: Boolean)(f: (Iterator[ColumnarBatch], Iterator[B], Iterator[C]) ⇒ Iterator[V])(implicit arg0: ClassTag[B], arg1: ClassTag[C], arg2: ClassTag[V]): RDD[V]
    Definition Classes
    RDD
  145. def zipPartitions[B, V](rdd2: RDD[B])(f: (Iterator[ColumnarBatch], Iterator[B]) ⇒ Iterator[V])(implicit arg0: ClassTag[B], arg1: ClassTag[V]): RDD[V]
    Definition Classes
    RDD
  146. def zipPartitions[B, V](rdd2: RDD[B], preservesPartitioning: Boolean)(f: (Iterator[ColumnarBatch], Iterator[B]) ⇒ Iterator[V])(implicit arg0: ClassTag[B], arg1: ClassTag[V]): RDD[V]
    Definition Classes
    RDD
  147. def zipWithIndex(): RDD[(ColumnarBatch, Long)]
    Definition Classes
    RDD
  148. def zipWithUniqueId(): RDD[(ColumnarBatch, Long)]
    Definition Classes
    RDD

Deprecated Value Members

  1. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] ) @Deprecated
    Deprecated

Inherited from Arm

Inherited from RDD[ColumnarBatch]

Inherited from Logging

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped