HyukjinKwon commented on a change in pull request #23349: [SPARK-26403][SQL]
Support pivoting using array column for `pivot(column)` API
URL: https://github.com/apache/spark/pull/23349#discussion_r243487227
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File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/literals.scala
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@@ -67,6 +67,7 @@ object Literal {
case t: Timestamp => Literal(DateTimeUtils.fromJavaTimestamp(t),
TimestampType)
case d: Date => Literal(DateTimeUtils.fromJavaDate(d), DateType)
case a: Array[Byte] => Literal(a, BinaryType)
+ case a: collection.mutable.WrappedArray[_] => apply(a.array)
Review comment:
I don't think we can easily support Seq with minimised change here - let me
take another look for this. That's why I targeted to support an array column in
pivot specifically. Maybe I can do the type check within pivot before we call
Literal.
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