Github user marmbrus commented on a diff in the pull request:
https://github.com/apache/spark/pull/10391#discussion_r48314060
--- Diff:
sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/encoders/ExpressionEncoderSuite.scala
---
@@ -239,6 +240,30 @@ class ExpressionEncoderSuite extends SparkFunSuite {
ExpressionEncoder.tuple(intEnc, ExpressionEncoder.tuple(intEnc,
longEnc))
}
+ test("Option in Array") {
+ val data = (Seq(Some(1), Some(2), None), "Option in array")
+
+ val schema = ScalaReflection.schemaFor[Tuple2[Seq[Option[Int]],
String]]
+ .dataType.asInstanceOf[StructType]
+ val attributeSeq = schema.toAttributes
+ val dataEncoder = encoderFor[Tuple2[Seq[Option[Int]], String]]
+ val boundEncoder = dataEncoder.resolve(attributeSeq,
outers).bind(attributeSeq)
+ assert(boundEncoder.fromRow(boundEncoder.toRow(data)) === (
+ Seq(Some(1), Some(2), null), "Option in array"))
+ }
+
+ test("Option in Map") {
+ val data = (Map(1 -> Some(10L), 2 -> Some(20L), 3 -> None), "Option in
map")
+
+ val schema = ScalaReflection.schemaFor[Tuple2[Map[Int, Option[Long]],
String]]
+ .dataType.asInstanceOf[StructType]
+ val attributeSeq = schema.toAttributes
+ val dataEncoder = encoderFor[Tuple2[Map[Int, Option[Long]], String]]
+ val boundEncoder = dataEncoder.resolve(attributeSeq,
outers).bind(attributeSeq)
+ assert(boundEncoder.fromRow(boundEncoder.toRow(data)) === (
+ Map(1 -> Some(10L), 2 -> Some(20L), 3 -> null), "Option in map"))
+ }
--- End diff --
The original implementation in `ScalaReflection` only had access to the
schema as a DataType when it was going to produce external `Row` objects. This
schema is erased in that it can't differentiate `Option` from `null`. This is
not true for encoders since we know the full type the user is expecting from
the provided `TypeTag`.
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