Github user viirya commented on a diff in the pull request:
https://github.com/apache/spark/pull/9757#discussion_r45028150
--- Diff:
sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/encoders/RowEncoderSuite.scala
---
@@ -59,7 +61,12 @@ class ExamplePointUDT extends
UserDefinedType[ExamplePoint] {
override def deserialize(datum: Any): ExamplePoint = {
datum match {
case values: ArrayData =>
- new ExamplePoint(values.getDouble(0), values.getDouble(1))
+ if (values.numElements() > 1) {
+ new ExamplePoint(values.getDouble(0), values.getDouble(1))
+ } else {
+ val random = new Random()
+ new ExamplePoint(random.nextDouble(), random.nextDouble())
--- End diff --
We did check the results as we check input row and the row converted back.
Because this UDT `ExamplePoint` needs at least two double values. If the
array generated by the random generator contains only 1 or 0 elements.
`values.getDouble` will throw out of range exception.
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