object AggregateUtils
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def
computeAggModeCudfAggregates(aggExpressions: Seq[GpuAggregateExpression], aggBufferAttributes: Seq[Attribute]): Seq[(AggregateMode, Seq[CudfAggregate])]
Compute the aggregation modes and aggregate expressions for all aggregation expressions
Compute the aggregation modes and aggregate expressions for all aggregation expressions
- aggExpressions
the aggregate expressions
- aggBufferAttributes
attributes to be bound to the aggregate expressions
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def
computeTargetBatchSize(confTargetSize: Long, inputTypes: Seq[DataType], outputTypes: Seq[DataType], isReductionOnly: Boolean): Long
Computes a target input batch size based on the assumption that computation can consume up to 4X the configured batch size.
Computes a target input batch size based on the assumption that computation can consume up to 4X the configured batch size.
- confTargetSize
user-configured maximum desired batch size
- inputTypes
input batch schema
- outputTypes
output batch schema
- isReductionOnly
true if this is a reduction-only aggregation without grouping
- returns
maximum target batch size to keep computation under the 4X configured batch limit
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def
shouldFallbackMultiDistinct(aggExprs: Seq[AggregateExpression]): Boolean
Return true if there are multiple distinct functions along with non-distinct functions.
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toString(): String
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def
validateAggregate(attributes: AttributeSet): Boolean
Return true if the Attribute passed is one of aggregates in the aggs list.
Return true if the Attribute passed is one of aggregates in the aggs list. Use it with caution. We are comparing the name of a column looking for anything that matches with the values in aggs.
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