Packages

c

com.nvidia.spark.rapids

SpillableColumnarBatchImpl

class SpillableColumnarBatchImpl extends SpillableColumnarBatch

The implementation of SpillableColumnarBatch that points to buffers that can be spilled.

Note

the buffer should be in the cache by the time this is created and this is taking over ownership of the life cycle of the batch. So don't call this constructor directly please use SpillableColumnarBatch.apply instead.

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  1. SpillableColumnarBatchImpl
  2. SpillableColumnarBatch
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Visibility
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Instance Constructors

  1. new SpillableColumnarBatchImpl(handle: RapidsBufferHandle, rowCount: Int, sparkTypes: Array[DataType])

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

    Remove the ColumnarBatch from the cache.

    Remove the ColumnarBatch from the cache.

    Definition Classes
    SpillableColumnarBatchImpl → 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
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    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
    SpillableColumnarBatchImplSpillableColumnarBatch
    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
    SpillableColumnarBatchImplSpillableColumnarBatch
  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
    SpillableColumnarBatchImplSpillableColumnarBatch
  20. def setSpillPriority(priority: Long): Unit

    Set a new spill priority.

    Set a new spill priority.

    Definition Classes
    SpillableColumnarBatchImplSpillableColumnarBatch
  21. lazy val sizeInBytes: Long
  22. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  23. def toString(): String
    Definition Classes
    SpillableColumnarBatchImpl → AnyRef → Any
  24. final def wait(): Unit
    Definition Classes
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    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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