AngersZhuuuu commented on a change in pull request #33036:
URL: https://github.com/apache/spark/pull/33036#discussion_r656864694



##########
File path: 
sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveScriptTransformationSuite.scala
##########
@@ -522,36 +523,57 @@ class HiveScriptTransformationSuite extends 
BaseScriptTransformationSuite with T
 
   }
 
-  test("SPARK-34879: HiveInspectors supports DayTimeIntervalType") {
+  test("SPARK-34879, SPARK-35733: HiveInspectors supports all type of 
DayTimeIntervalType") {
     assume(TestUtils.testCommandAvailable("/bin/bash"))
     withTempView("v") {
-      val df = Seq(
-        (Duration.ofDays(1),
+      val schema = StructType(Seq(
+        StructField("a", DayTimeIntervalType(DAY)),
+        StructField("b", DayTimeIntervalType(DAY, HOUR)),
+        StructField("c", DayTimeIntervalType(DAY, MINUTE)),
+        StructField("d", DayTimeIntervalType(DAY, SECOND)),
+        StructField("e", DayTimeIntervalType(HOUR)),
+        StructField("f", DayTimeIntervalType(HOUR, MINUTE)),
+        StructField("g", DayTimeIntervalType(HOUR, SECOND)),
+        StructField("h", DayTimeIntervalType(MINUTE)),
+        StructField("i", DayTimeIntervalType(MINUTE, SECOND)),
+        StructField("j", DayTimeIntervalType(SECOND))
+      ))
+      val df = spark.createDataFrame(sparkContext.parallelize(Seq(
+        Row(Duration.ofDays(1),
+          Duration.ofHours(11),
+          Duration.ofMinutes(1),
           Duration.ofSeconds(100).plusNanos(123456),
-          Duration.of(Long.MaxValue, ChronoUnit.MICROS)),
-        (Duration.ofDays(1),
-          Duration.ofSeconds(100).plusNanos(1123456789),
-          Duration.ofSeconds(Long.MaxValue / 
DateTimeConstants.MICROS_PER_SECOND))
-      ).toDF("a", "b", "c")
-      df.createTempView("v")
+          Duration.of(Long.MaxValue, ChronoUnit.MICROS),
+          Duration.ofDays(1),
+          Duration.ofHours(11),
+          Duration.ofMinutes(1),
+          Duration.ofSeconds(100).plusNanos(123456),
+          Duration.ofSeconds(Long.MaxValue / 
DateTimeConstants.MICROS_PER_SECOND)
+        ))), schema)
 
       // Hive serde supports DayTimeIntervalType as input and output data type
       checkAnswer(
         df,
         (child: SparkPlan) => createScriptTransformationExec(
           script = "cat",
           output = Seq(
-            // TODO(SPARK-35733): Check all day-time interval types in 
HiveInspectors tests
-            AttributeReference("a", DayTimeIntervalType())(),
-            AttributeReference("b", DayTimeIntervalType())(),
-            AttributeReference("c", DayTimeIntervalType())()),
+            AttributeReference("a", DayTimeIntervalType(DAY))(),
+            AttributeReference("b", DayTimeIntervalType(DAY, HOUR))(),
+            AttributeReference("c", DayTimeIntervalType(DAY, MINUTE))(),
+            AttributeReference("d", DayTimeIntervalType(DAY, SECOND))(),
+            AttributeReference("e", DayTimeIntervalType(HOUR))(),
+            AttributeReference("f", DayTimeIntervalType(HOUR, MINUTE))(),
+            AttributeReference("g", DayTimeIntervalType(HOUR, SECOND))(),
+            AttributeReference("h", DayTimeIntervalType(MINUTE))(),
+            AttributeReference("i", DayTimeIntervalType(MINUTE, SECOND))(),
+            AttributeReference("j", DayTimeIntervalType(SECOND))()),
           child = child,
           ioschema = hiveIOSchema),
-        df.select($"a", $"b", $"c").collect())
+        df.select($"a", $"b", $"c", $"d", $"e", $"f", $"g", $"h", $"i", 
$"j").collect())
     }
   }
 
-  test("SPARK-35722: HiveInspectors supports all type of 
YearMonthIntervalType") {
+  test("SPARK-34879, SPARK-35722: HiveInspectors supports all type of 
YearMonthIntervalType") {

Review comment:
       @MaxGekk  Also update here




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