Github user viirya commented on a diff in the pull request:
https://github.com/apache/spark/pull/13778#discussion_r69699166
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/objects/objects.scala
---
@@ -346,14 +346,47 @@ case class LambdaVariable(value: String, isNull:
String, dataType: DataType) ext
object MapObjects {
private val curId = new java.util.concurrent.atomic.AtomicInteger()
+ /**
+ * Construct an instance of MapObjects case class.
+ *
+ * @param function The function applied on the collection elements.
+ * @param inputData An expression that when evaluated returns a
collection object.
+ * @param elementType The data type of elements in the collection.
+ */
def apply(
function: Expression => Expression,
inputData: Expression,
elementType: DataType): MapObjects = {
val loopValue = "MapObjects_loopValue" + curId.getAndIncrement()
val loopIsNull = "MapObjects_loopIsNull" + curId.getAndIncrement()
val loopVar = LambdaVariable(loopValue, loopIsNull, elementType)
- MapObjects(loopValue, loopIsNull, elementType, function(loopVar),
inputData)
+ MapObjects(loopValue, loopIsNull, elementType, function(loopVar),
inputData, None)
--- End diff --
It is possibly that inputData is unresolved yet. We can't just pass in the
data type of inputData. So I still make inputDataType as Option[DataType] below.
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