Github user cloud-fan commented on a diff in the pull request: https://github.com/apache/spark/pull/15703#discussion_r86487495 --- Diff: sql/hive/src/main/scala/org/apache/spark/sql/hive/hiveUDFs.scala --- @@ -365,4 +382,66 @@ private[hive] case class HiveUDAFFunction( val distinct = if (isDistinct) "DISTINCT " else " " s"$name($distinct${children.map(_.sql).mkString(", ")})" } + + override def createAggregationBuffer(): AggregationBuffer = + partial1ModeEvaluator.getNewAggregationBuffer + + @transient + private lazy val inputProjection = new InterpretedProjection(children) + + override def update(buffer: AggregationBuffer, input: InternalRow): Unit = { + partial1ModeEvaluator.iterate( + buffer, wrap(inputProjection(input), inputWrappers, cached, inputDataTypes)) + } + + override def merge(buffer: AggregationBuffer, input: AggregationBuffer): Unit = { + partial2ModeEvaluator.merge(buffer, partial1ModeEvaluator.terminatePartial(input)) + } + + override def eval(buffer: AggregationBuffer): Any = { + resultUnwrapper(finalModeEvaluator.terminate(buffer)) + } + + override def serialize(buffer: AggregationBuffer): Array[Byte] = { + aggBufferSerDe.serialize(buffer) + } + + override def deserialize(bytes: Array[Byte]): AggregationBuffer = { + aggBufferSerDe.deserialize(bytes) + } + + // Helper class used to de/serialize Hive UDAF `AggregationBuffer` objects + private class AggregationBufferSerDe { + private val partialResultUnwrapper = unwrapperFor(partialResultInspector) + + private val partialResultWrapper = wrapperFor(partialResultInspector, partialResultDataType) + + private val projection = UnsafeProjection.create(Array(partialResultDataType)) --- End diff -- Can you try to run hive udaf in spark shell? IIUC, we can't create unsafe projection inside UDAF
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