cloud-fan commented on a change in pull request #35404:
URL: https://github.com/apache/spark/pull/35404#discussion_r804319206
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
##########
@@ -4281,6 +4281,53 @@ class SQLQuerySuite extends QueryTest with
SharedSparkSession with AdaptiveSpark
Row(2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22) :: Nil)
}
}
+
+ test("SPARK-38118: Func(wrong_type) in the HAVING claus should throw data
mismatch error") {
+ val e1 = intercept[AnalysisException](
+ sql(
+ """
+ |with t as (select true c)
+ |select t.c
+ |from t
+ |group by t.c
+ |having mean(t.c) > 0d""".stripMargin))
+ assert(e1.message.contains("cannot resolve 'mean(tempresolvedcolumn(t.c))'
due to data type " +
+ "mismatch: function average requires numeric or interval types, not
boolean"))
+
+ val e2 = intercept[AnalysisException](
+ sql(
+ """
+ |with t as (select true c, false d)
+ |select (t.c & t.d) c
+ |from t
+ |group by t.c
+ |having mean(c) > 0d""".stripMargin))
+ assert(e2.message.contains("cannot resolve '(t.c & t.d)' due to data type
mismatch: " +
+ "'(t.c & t.d)' requires integral type, not boolean"))
+
+ val e3 = intercept[AnalysisException](
+ sql(
+ """
+ |with t as (select true c, false d)
+ |select (t.c & t.d) c
+ |from t
+ |group by t.c
+ |having abs(c) > 0d""".stripMargin))
+ assert(e3.message.contains("cannot resolve '(t.c & t.d)' due to data type
mismatch: " +
+ "'(t.c & t.d)' requires integral type, not boolean"))
+
+ val e4 = intercept[AnalysisException](
+ sql(
+ """
+ |with t as (select true c, false d)
Review comment:
column d is not used.
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