[GitHub] [spark] AngersZhuuuu commented on a change in pull request #32335: [SPARK-35220][SQL] DayTimeIntervalType/YearMonthIntervalType show different between Hive SerDe and row format delimited

[GitBox <gi...@apache.org>]

AngersZhuuuu commented on a change in pull request #32335:
URL: https://github.com/apache/spark/pull/32335#discussion_r620010662



##########
File path: sql/core/src/test/scala/org/apache/spark/sql/execution/BaseScriptTransformationSuite.scala
##########
@@ -599,6 +602,37 @@ abstract class BaseScriptTransformationSuite extends SparkPlanTest with SQLTestU
           'e.cast("string")).collect())
     }
   }
+
+  test("SPARK-35220: DayTimeIntervalType/YearMonthIntervalType show different " +
+    "between hive serde and row format delimited\t") {
+    assume(TestUtils.testCommandAvailable("/bin/bash"))
+    withTempView("v") {
+      val df = Seq(
+        (Duration.ofDays(1), Period.ofMonths(10))
+      ).toDF("a", "b")
+      df.createTempView("v")
+
+      if (defaultSerDe == "hive-serde") {
+        checkAnswer(sql(
+          """
+            |SELECT TRANSFORM(a, b)
+            |  USING 'cat' AS (a, b)
+            |FROM v
+            |""".stripMargin),
+          identity,
+          Row("1 00:00:00.000000000", "0-10") :: Nil)
+      } else {
+        checkAnswer(sql(
+          """
+            |SELECT TRANSFORM(a, b)
+            |  USING 'cat' AS (a, b)
+            |FROM v
+            |""".stripMargin),
+          identity,
+          Row("INTERVAL '1 00:00:00' DAY TO SECOND", "INTERVAL '0-10' YEAR TO MONTH") :: Nil)

Review comment:
       > so the spark-sql shell and `df.show` have different formats for intervals?
   
   Yea, have this problem too, since spark sql follow hive format. What should I to do next?




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