Github user viirya commented on a diff in the pull request:
https://github.com/apache/spark/pull/16371#discussion_r94101455
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/collect.scala
---
@@ -44,39 +43,52 @@ abstract class Collect extends ImperativeAggregate {
override def dataType: DataType = ArrayType(child.dataType)
- override def supportsPartial: Boolean = false
-
- override def aggBufferAttributes: Seq[AttributeReference] = Nil
-
- override def aggBufferSchema: StructType =
StructType.fromAttributes(aggBufferAttributes)
-
- override def inputAggBufferAttributes: Seq[AttributeReference] = Nil
-
// Both `CollectList` and `CollectSet` are non-deterministic since their
results depend on the
// actual order of input rows.
override def deterministic: Boolean = false
- protected[this] val buffer: Growable[Any] with Iterable[Any]
-
- override def initialize(b: InternalRow): Unit = {
- buffer.clear()
- }
-
- override def update(b: InternalRow, input: InternalRow): Unit = {
- // Do not allow null values. We follow the semantics of Hive's
collect_list/collect_set here.
- // See:
org.apache.hadoop.hive.ql.udf.generic.GenericUDAFMkCollectionEvaluator
- val value = child.eval(input)
- if (value != null) {
- buffer += value
+ protected def _serialize(obj: Iterable[Any]): Array[Byte] = {
--- End diff --
We can generalize this to cover `Percentile`, but we may not use `T <:
Growable[Any] with Iterable[Any]` but `T <: Iterable[Any]` then.
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