Github user liancheng commented on a diff in the pull request: https://github.com/apache/spark/pull/15703#discussion_r85981118 --- Diff: sql/hive/src/main/scala/org/apache/spark/sql/hive/hiveUDFs.scala --- @@ -293,69 +307,57 @@ private[hive] case class HiveUDAFFunction( private lazy val inspectors = children.map(toInspector).toArray @transient - private lazy val functionAndInspector = { + private lazy val function = { val parameterInfo = new SimpleGenericUDAFParameterInfo(inspectors, false, false) - val f = resolver.getEvaluator(parameterInfo) - f -> f.init(GenericUDAFEvaluator.Mode.COMPLETE, inspectors) + resolver.getEvaluator(parameterInfo) } @transient - private lazy val function = functionAndInspector._1 + private lazy val wrappers = children.map(x => wrapperFor(toInspector(x), x.dataType)).toArray @transient - private lazy val wrappers = children.map(x => wrapperFor(toInspector(x), x.dataType)).toArray + private lazy val returnInspector = + function.init(GenericUDAFEvaluator.Mode.COMPLETE, inspectors) @transient - private lazy val returnInspector = functionAndInspector._2 + private lazy val partialResultInspector = + function.init(GenericUDAFEvaluator.Mode.PARTIAL1, inspectors) + + // The following two lines initializes `function: GenericUDAFEvaluator` eagerly. These two fields --- End diff -- Good point, I didn't check whether these two fields are really used on executor side. If not, it's true that we can remove the `lazy` modifier.
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