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_r244539585
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File path:
sql/core/src/main/scala/org/apache/spark/sql/RelationalGroupedDataset.scala
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@@ -422,10 +422,14 @@ class RelationalGroupedDataset protected[sql](
def pivot(pivotColumn: Column, values: Seq[Any]): RelationalGroupedDataset =
{
groupType match {
case RelationalGroupedDataset.GroupByType =>
- val valueExprs = values.map(_ match {
+ val valueExprs = values.map {
case c: Column => c.expr
+ // ArrayType returns a `WrappedArray` but currently `Literal.apply`
+ // does not support this type although it supports a normal array.
+ // Here manually unwrap to make it an array. See also SPARK-26403.
+ case v: collection.mutable.WrappedArray[_] => Literal.apply(v.array)
Review comment:
@cloud-fan, I didn't mean something special but this :).
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