xkrogen commented on code in PR #37634:
URL: https://github.com/apache/spark/pull/37634#discussion_r955182512
##########
sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryExecutionErrors.scala:
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@@ -447,6 +447,13 @@ private[sql] object QueryExecutionErrors extends
QueryErrorsBase {
new RuntimeException(fieldCannotBeNullMsg(index, fieldName))
}
+ def valueCannotBeNullError(locationDesc: String): RuntimeException = {
+ new RuntimeException(s"The value at $locationDesc cannot be null, but a
NULL was found. " +
+ "This is typically caused by the presence of a NULL value when the
schema indicates the " +
+ "value should be non-null. Check that the input data matches the schema
and/or that UDFs " +
Review Comment:
Yeah, it handles this situation. Marking a UDF as non-nullable just adjusts
the schema, then the output row will contain a null value -- so the situation
is identical to what is already tested in `GeneratedProjectionSuite`. But I can
add this to `DataFrameSuite` to explicitly demonstrate that it is covered.
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