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[SPARK-25044][SQL][followup] add back UserDefinedFunction.inputTypes #22319

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[SPARK-25044][SQL][followup] add back UserDefinedFunction.inputTypes #22319

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e9c6fbc
add back UserDefinedFunction.inputTypes
cloud-fan Sep 3, 2018
5acb1df
add back unapply
cloud-fan Sep 3, 2018
2245395
fix
cloud-fan Sep 3, 2018
01a51ca
fix
cloud-fan Sep 3, 2018
c77db87
another fix
cloud-fan Sep 3, 2018
d290fec
fix apply conflict
cloud-fan Sep 3, 2018
4791240
fix a mistake
cloud-fan Sep 4, 2018
2b2c894
revert mima
cloud-fan Sep 4, 2018
9e060a4
another fix
cloud-fan Sep 5, 2018
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12 changes: 9 additions & 3 deletions sql/core/src/main/scala/org/apache/spark/sql/expressions/UserDefinedFunction.scala
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Original file line number Diff line number Diff line change
Expand Up @@ -41,12 +41,18 @@ import org.apache.spark.sql.types.DataType
case class UserDefinedFunction protected[sql] (
f: AnyRef,
dataType: DataType,
inputTypes: Option[Seq[ScalaReflection.Schema]]) {
inputSchemas: Option[Seq[ScalaReflection.Schema]]) {

private var _nameOption: Option[String] = None
private var _nullable: Boolean = true
private var _deterministic: Boolean = true

// This is to keep backward compatibility for this case class.
// TODO: revisit this case class in Spark 3.0, and narrow down the public surface.
def inputTypes: Option[Seq[DataType]] = {
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@HyukjinKwon HyukjinKwon Sep 3, 2018 •
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@cloud-fan, I think this still breaks compatibility when UserDefinedFunction's used in a pattern match.

inputSchemas.map(_.map(_.dataType))
}

/**
* Returns true when the UDF can return a nullable value.
*
Expand All @@ -73,11 +79,11 @@ case class UserDefinedFunction protected[sql] (
f,
dataType,
exprs.map(_.expr),
inputTypes.map(_.map(_.dataType)).getOrElse(Nil),
inputSchemas.map(_.map(_.dataType)).getOrElse(Nil),
udfName = _nameOption,
nullable = _nullable,
udfDeterministic = _deterministic,
nullableTypes = inputTypes.map(_.map(_.nullable)).getOrElse(Nil)))
nullableTypes = inputSchemas.map(_.map(_.nullable)).getOrElse(Nil)))
}

private def copyAll(): UserDefinedFunction = {
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