Packages

c

com.nvidia.spark.rapids

JustRowsColumnarBatch

class JustRowsColumnarBatch extends SpillableColumnarBatch

Cudf does not support a table with columns and no rows. This takes care of making one of those spillable, even though in reality there is no backing buffer. It does this by just keeping the row count in memory, and not dealing with the catalog at all.

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  1. JustRowsColumnarBatch
  2. SpillableColumnarBatch
  3. AutoCloseable
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Visibility
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Instance Constructors

  1. new JustRowsColumnarBatch(numRows: Int)

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  5. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  6. def close(): Unit
    Definition Classes
    JustRowsColumnarBatch → AutoCloseable
  7. def dataTypes: Array[DataType]
  8. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  9. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  10. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  11. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  12. def getColumnarBatch(): ColumnarBatch

    Get the columnar batch.

    Get the columnar batch.

    Definition Classes
    JustRowsColumnarBatchSpillableColumnarBatch
    Note

    It is the responsibility of the caller to close the batch.

    ,

    If the buffer is compressed data then the resulting batch will be built using GpuCompressedColumnVector, and it is the responsibility of the caller to deal with decompressing the data if necessary.

  13. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  14. def incRefCount(): SpillableColumnarBatch

    Increment the reference count for this batch (if applicable) and return this for easy chaining.

    Increment the reference count for this batch (if applicable) and return this for easy chaining.

    Definition Classes
    JustRowsColumnarBatchSpillableColumnarBatch
  15. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  16. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  17. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  18. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  19. def numRows(): Int

    The number of rows stored in this batch.

    The number of rows stored in this batch.

    Definition Classes
    JustRowsColumnarBatchSpillableColumnarBatch
  20. def setSpillPriority(priority: Long): Unit

    Set a new spill priority.

    Set a new spill priority.

    Definition Classes
    JustRowsColumnarBatchSpillableColumnarBatch
  21. val sizeInBytes: Long
  22. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  23. def toString(): String
    Definition Classes
    AnyRef → Any
  24. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  25. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  26. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()

Inherited from SpillableColumnarBatch

Inherited from AutoCloseable

Inherited from AnyRef

Inherited from Any

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