Github user wzhfy commented on a diff in the pull request:
https://github.com/apache/spark/pull/15544#discussion_r83997249
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/HyperLogLogPlusPlus.scala
---
@@ -142,319 +84,37 @@ case class HyperLogLogPlusPlus(
override def inputTypes: Seq[AbstractDataType] = Seq(AnyDataType)
- override def aggBufferSchema: StructType =
StructType.fromAttributes(aggBufferAttributes)
-
- /** Allocate enough words to store all registers. */
- override val aggBufferAttributes: Seq[AttributeReference] =
Seq.tabulate(numWords) { i =>
- AttributeReference(s"MS[$i]", LongType)()
+ override def createAggregationBuffer(): HyperLogLogPlusPlusAlgo = {
+ new HyperLogLogPlusPlusAlgo(relativeSD)
--- End diff --
@hvanhovell Do you mean we put some digest object (like how
PercentileDigest does in ApproximatePercentile) in the buffer instead of
putting HLL++ directly in it?
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