Github user liancheng commented on a diff in the pull request:
https://github.com/apache/spark/pull/15703#discussion_r87309805
--- Diff: sql/hive/src/main/scala/org/apache/spark/sql/hive/hiveUDFs.scala
---
@@ -289,73 +302,77 @@ private[hive] case class HiveUDAFFunction(
funcWrapper.createFunction[AbstractGenericUDAFResolver]()
}
+ // Hive `ObjectInspector`s for all child expressions (input parameters
of the function).
@transient
- private lazy val inspectors = children.map(toInspector).toArray
+ private lazy val inputInspectors = children.map(toInspector).toArray
+ // Spark SQL data types of input parameters.
@transient
- private lazy val functionAndInspector = {
- val parameterInfo = new SimpleGenericUDAFParameterInfo(inspectors,
false, false)
- val f = resolver.getEvaluator(parameterInfo)
- f -> f.init(GenericUDAFEvaluator.Mode.COMPLETE, inspectors)
- }
+ private lazy val inputDataTypes: Array[DataType] =
children.map(_.dataType).toArray
+ // The UDAF evaluator used to consume raw input rows and produce partial
aggregation results.
@transient
- private lazy val function = functionAndInspector._1
+ private lazy val partial1ModeEvaluator = {
+ val parameterInfo = new
SimpleGenericUDAFParameterInfo(inputInspectors, false, false)
+ resolver.getEvaluator(parameterInfo)
+ }
+ // Hive `ObjectInspector` used to inspect partial aggregation results.
@transient
- private lazy val wrappers = children.map(x => wrapperFor(toInspector(x),
x.dataType)).toArray
+ private val partialResultInspector = partial1ModeEvaluator.init(
+ GenericUDAFEvaluator.Mode.PARTIAL1,
+ inputInspectors
+ )
+ // The UDAF evaluator used to merge partial aggregation results.
@transient
- private lazy val returnInspector = functionAndInspector._2
+ private lazy val partial2ModeEvaluator = {
+ val parameterInfo = new
SimpleGenericUDAFParameterInfo(inputInspectors, false, false)
+ val evaluator = resolver.getEvaluator(parameterInfo)
+ evaluator.init(GenericUDAFEvaluator.Mode.PARTIAL2,
Array(partialResultInspector))
+ evaluator
+ }
+ // Spark SQL data type of partial aggregation results
@transient
- private lazy val unwrapper = unwrapperFor(returnInspector)
+ private lazy val partialResultDataType =
inspectorToDataType(partialResultInspector)
+ // The UDAF evaluator used to compute the final result from a partial
aggregation result objects.
@transient
- private[this] var buffer: GenericUDAFEvaluator.AggregationBuffer = _
-
- override def eval(input: InternalRow): Any =
unwrapper(function.evaluate(buffer))
+ private lazy val finalModeEvaluator = {
+ val parameterInfo = new
SimpleGenericUDAFParameterInfo(inputInspectors, false, false)
+ resolver.getEvaluator(parameterInfo)
--- End diff --
Good point, thanks!
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