Packages

class OrcColumnStatistics extends AnyRef

Columns statistics interface wrapping ORC ColumnStatisticss.

Because ORC ColumnStatisticss are stored as an flatten array in ORC file footer, this class is used to covert ORC ColumnStatisticss from array to nested tree structure, according to data types. The flatten array stores all data types (including nested types) in tree pre-ordering. This is used for aggregate push down in ORC.

For nested data types (array, map and struct), the sub-field statistics are stored recursively inside parent column's children field. Here is an example of OrcColumnStatistics:

Data schema: c1: int c2: struct<f1: int, f2: float> c3: map<key: int, value: string> c4: array<int>

OrcColumnStatistics | (children) --------------------------------------------- / | \ \ c1 c2 c3 c4 (integer) (struct) (map) (array) (min:1, | (children) | (children) | (children) max:10) ----- ----- element / \ / \ (integer) c2.f1 c2.f2 key value (integer) (float) (integer) (string) (min:0.1, (min:"a", max:100.5) max:"zzz")

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Instance Constructors

  1. new OrcColumnStatistics(statistics: ColumnStatistics)

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  1. final def !=(arg0: Any): Boolean
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  2. final def ##: Int
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  3. final def ==(arg0: Any): Boolean
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  4. def add(newChild: OrcColumnStatistics): Unit
  5. final def asInstanceOf[T0]: T0
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  6. def clone(): AnyRef
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  9. def finalize(): Unit
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    @throws(classOf[java.lang.Throwable])
  10. def get(ordinal: Int): OrcColumnStatistics
  11. final def getClass(): Class[_ <: AnyRef]
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    @native()
  12. def getStatistics(): ColumnStatistics
  13. def hashCode(): Int
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  21. final def wait(arg0: Long, arg1: Int): Unit
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  22. final def wait(arg0: Long): Unit
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