gatorsmile commented on a change in pull request #23712: [SPARK-26798][SQL]
HandleNullInputsForUDF should trust nullability
URL: https://github.com/apache/spark/pull/23712#discussion_r255828001
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File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/ScalaUDF.scala
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@@ -31,9 +31,9 @@ import org.apache.spark.sql.types.{AbstractDataType,
DataType}
* null. Use boxed type or [[Option]] if you wanna do the
null-handling yourself.
* @param dataType Return type of function.
* @param children The input expressions of this UDF.
- * @param inputsNullSafe Whether the inputs are of non-primitive types or not
nullable. Null values
- * of Scala primitive types will be converted to the
type's default value and
- * lead to wrong results, thus need special handling
before calling the UDF.
+ * @param inputPrimitives Whether the inputs are of primitive types. Null
values of Java primitive
Review comment:
+1
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