MaxGekk commented on a change in pull request #31979:
URL: https://github.com/apache/spark/pull/31979#discussion_r602906474
##########
File path:
sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveScriptTransformationSuite.scala
##########
@@ -528,4 +530,65 @@ class HiveScriptTransformationSuite extends
BaseScriptTransformationSuite with T
checkAnswer(query2, identity, Row("\\N,\\N,\\N") :: Nil)
}
+
+ test("SPARK-34879: HiveInspector supports DayTimeIntervalType and
YearMonthIntervalType") {
+ assume(TestUtils.testCommandAvailable("/bin/bash"))
+ withTempView("v") {
+ val df = Seq(
+ (Duration.ofDays(1),
+ Duration.ofSeconds(100).plusNanos(123456),
+ Duration.ofSeconds(Long.MaxValue /
DateTimeConstants.MICROS_PER_SECOND),
+ Period.ofMonths(10)),
+ (Duration.ofDays(1),
+ Duration.ofSeconds(100).plusNanos(1123456789),
+ Duration.ofSeconds(Long.MaxValue /
DateTimeConstants.MICROS_PER_SECOND),
+ Period.ofMonths(10))
+ ).toDF("a", "b", "c", "d")
+ .select('a, 'b, 'c.cast(DayTimeIntervalType).as("c_1"), 'd)
+ df.createTempView("v")
+
+ // Hive serde supports DayTimeIntervalType/YearMonthIntervalType as
input and output data type
+ checkAnswer(
+ df,
+ (child: SparkPlan) => createScriptTransformationExec(
+ input = Seq(
+ df.col("a").expr,
+ df.col("b").expr,
+ df.col("c_1").expr,
+ df.col("d").expr),
+ script = "cat",
+ output = Seq(
+ AttributeReference("a", DayTimeIntervalType)(),
+ AttributeReference("b", DayTimeIntervalType)(),
+ AttributeReference("c_1", DayTimeIntervalType)(),
+ AttributeReference("d", YearMonthIntervalType)()),
+ child = child,
+ ioschema = hiveIOSchema),
+ df.select('a, 'b, 'c_1, 'd).collect())
+ }
+ }
+
+ test("SPARK-34879: HiveInceptor throw overflow when" +
+ " HiveIntervalDayTime overflow then DayTimeIntervalType") {
+ withTempView("v") {
+ val df = Seq(
+ ("579025220 15:30:06.000001000")
+ ).toDF("a")
Review comment:
nit:
```suggestion
val df = Seq(("579025220 15:30:06.000001000")).toDF("a")
```
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