Object

org.apache.spark.sql.catalyst.planning

PartialAggregation

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object PartialAggregation

Matches a logical aggregation that can be performed on distributed data in two steps. The first operates on the data in each partition performing partial aggregation for each group. The second occurs after the shuffle and completes the aggregation.

This pattern will only match if all aggregate expressions can be computed partially and will return the rewritten aggregation expressions for both phases.

The returned values for this match are as follows:

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Type Members

  1. type ReturnType = (Seq[Attribute], Seq[NamedExpression], Seq[Expression], Seq[NamedExpression], LogicalPlan)

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  1. final def !=(arg0: Any): Boolean

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  2. final def ##(): Int

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  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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  7. def equals(arg0: Any): Boolean

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  8. def finalize(): Unit

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  9. final def getClass(): Class[_]

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  10. def hashCode(): Int

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  11. final def isInstanceOf[T0]: Boolean

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  12. final def ne(arg0: AnyRef): Boolean

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  13. final def notify(): Unit

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  14. final def notifyAll(): Unit

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  15. final def synchronized[T0](arg0: ⇒ T0): T0

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  16. def toString(): String

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  17. def unapply(plan: LogicalPlan): Option[ReturnType]

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  18. final def wait(): Unit

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  19. final def wait(arg0: Long, arg1: Int): Unit

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  20. final def wait(arg0: Long): Unit

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