Github user mgaido91 commented on a diff in the pull request:
https://github.com/apache/spark/pull/22375#discussion_r218362156
--- Diff:
sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/ExpressionEvalHelperSuite.scala
---
@@ -35,6 +36,13 @@ class ExpressionEvalHelperSuite extends SparkFunSuite
with ExpressionEvalHelper
val e = intercept[RuntimeException] {
checkEvaluation(BadCodegenExpression(), 10) }
assert(e.getMessage.contains("some_variable"))
}
+
+ test("SPARK-25388: checkEvaluation should fail if nullable in DataType
is incorrect") {
+ val e = intercept[RuntimeException] {
+ checkEvaluation(MapIncorrectDataTypeExpression(), Map(3 -> 7, 6 ->
null))
--- End diff --
Well, actually I was not clear about this, sorry for that. I meant we can
separate from:
- a failure caused by a wrong result returned;
- a failure caused by a wrong result type returned (ie. the expected
values contains NULL while the expression return data type is not nullable -
this case can happen both in case the UT is bad and in case the return type of
the expression is wrong);
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