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org.apache.spark.sql.execution.aggregate

AggUtils

Related Doc: package aggregate

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object AggUtils

Utility functions used by the query planner to convert our plan to new aggregation code path.

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  15. def planAggregateWithOneDistinct(groupingExpressions: Seq[NamedExpression], functionsWithDistinct: Seq[AggregateExpression], functionsWithoutDistinct: Seq[AggregateExpression], resultExpressions: Seq[NamedExpression], child: SparkPlan): Seq[SparkPlan]

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  16. def planAggregateWithoutDistinct(groupingExpressions: Seq[NamedExpression], aggregateExpressions: Seq[AggregateExpression], resultExpressions: Seq[NamedExpression], child: SparkPlan): Seq[SparkPlan]

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  17. def planAggregateWithoutPartial(groupingExpressions: Seq[NamedExpression], aggregateExpressions: Seq[AggregateExpression], resultExpressions: Seq[NamedExpression], child: SparkPlan): Seq[SparkPlan]

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  18. def planStreamingAggregation(groupingExpressions: Seq[NamedExpression], functionsWithoutDistinct: Seq[AggregateExpression], resultExpressions: Seq[NamedExpression], child: SparkPlan): Seq[SparkPlan]

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    Plans a streaming aggregation using the following progression:

    Plans a streaming aggregation using the following progression:

    • Partial Aggregation
    • Shuffle
    • Partial Merge (now there is at most 1 tuple per group)
    • StateStoreRestore (now there is 1 tuple from this batch + optionally one from the previous)
    • PartialMerge (now there is at most 1 tuple per group)
    • StateStoreSave (saves the tuple for the next batch)
    • Complete (output the current result of the aggregation)

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