Github user cloud-fan commented on a diff in the pull request:

    https://github.com/apache/spark/pull/16371#discussion_r94114431
  
    --- Diff: 
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/collect.scala
 ---
    @@ -44,39 +44,78 @@ 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: T, other: T): T = {
    +    buffer ++= other
       }
     
    -  override def merge(buffer: InternalRow, input: InternalRow): Unit = {
    -    sys.error("Collect cannot be used in partial aggregations.")
    +  override def eval(buffer: T): Any = {
    +    generateOutput(buffer)
       }
     
    -  override def eval(input: InternalRow): Any = {
    -    new GenericArrayData(buffer.toArray)
    +  protected def _serialize(obj: Iterable[Any]): Array[Byte] = {
    +    val buffer = new Array[Byte](4 << 10)  // 4K
    --- End diff --
    
    shall we create `new GenericArrayData(buffer.toArray)` and do unsafe 
projection?


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