Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/16371#discussion_r94221606
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/collect.scala
---
@@ -44,39 +44,48 @@ 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()
+ private def generateOutput(results: Iterable[Any]): Any = {
+ if (results.isEmpty) {
+ null
+ } else {
+ new GenericArrayData(results.toArray)
+ }
}
- override def update(b: InternalRow, input: InternalRow): Unit = {
+ override def update(buffer: T, input: InternalRow): T = {
+ val value = child.eval(input).asInstanceOf[Any]
+
// 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
}
+ buffer
}
- override def merge(buffer: InternalRow, input: InternalRow): Unit = {
- sys.error("Collect cannot be used in partial aggregations.")
+ override def merge(buffer: T, other: T): T = {
+ buffer ++= other
}
- override def eval(input: InternalRow): Any = {
- new GenericArrayData(buffer.toArray)
+ override def eval(buffer: T): Any = {
+ generateOutput(buffer)
+ }
+
+ protected def _serialize(obj: Iterable[Any]): Array[Byte] = {
+ val array = new GenericArrayData(obj.toArray)
+ val projection = UnsafeProjection.create(
+ Array[DataType](ArrayType(elementType = child.dataType, containsNull
= false)))
+ projection.apply(InternalRow.apply(array)).getBytes()
+ }
+
+ protected def _deserialize(bytes: Array[Byte], buffer: T): Unit = {
--- End diff --
same here
```
override def deserialize(bytes: ArrayByte): Unit = {
val buffer = createAggregationBuffer()
...
}
```
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