AngersZhuuuu commented on a change in pull request #32985:
URL: https://github.com/apache/spark/pull/32985#discussion_r657319827
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/UDFSuite.scala
##########
@@ -904,25 +905,43 @@ class UDFSuite extends QueryTest with SharedSparkSession {
test("SPARK-34663: using java.time.Period in UDF") {
// Regular case
- val input = Seq(java.time.Period.ofMonths(11)).toDF("p")
+ val input = Seq(java.time.Period.ofMonths(13)).toDF("p")
+ .select($"p", $"p".cast(YearMonthIntervalType(YEAR, YEAR)).as("p_y"),
+ $"p".cast(YearMonthIntervalType(MONTH, MONTH)).as("p_m"))
val incMonth = udf((p: java.time.Period) => p.plusMonths(1))
- val result = input.select(incMonth($"p").as("new_p"))
- checkAnswer(result, Row(java.time.Period.ofYears(1)) :: Nil)
- // TODO(SPARK-35777): Check all year-month interval types in UDF
- assert(result.schema === new StructType().add("new_p",
YearMonthIntervalType()))
+ val result = input.select(incMonth($"p").as("new_p"),
+ incMonth($"p_y").as("new_p_y"),
+ incMonth($"p_m").as("new_p_m"))
+ checkAnswer(result, Row(java.time.Period.ofMonths(14).normalized(),
+ java.time.Period.ofMonths(13).normalized(),
+ java.time.Period.ofMonths(14).normalized()) :: Nil)
+ assert(result.schema === new StructType()
+ .add("new_p", YearMonthIntervalType(YEAR, MONTH))
+ .add("new_p_y", YearMonthIntervalType(YEAR, MONTH))
+ .add("new_p_m", YearMonthIntervalType(YEAR, MONTH)))
// UDF produces `null`
val nullFunc = udf((_: java.time.Period) =>
null.asInstanceOf[java.time.Period])
- val nullResult = input.select(nullFunc($"p").as("null_p"))
- checkAnswer(nullResult, Row(null) :: Nil)
- // TODO(SPARK-35777): Check all year-month interval types in UDF
- assert(nullResult.schema === new StructType().add("null_p",
YearMonthIntervalType()))
+ val nullResult = input.select(nullFunc($"p").as("null_p"),
+ nullFunc($"p_y").as("null_p_y"), nullFunc($"p_m").as("null_p_m"))
+ checkAnswer(nullResult, Row(null, null, null) :: Nil)
+ assert(nullResult.schema === new StructType()
+ .add("null_p", YearMonthIntervalType(YEAR, MONTH))
+ .add("null_p_y", YearMonthIntervalType(YEAR, MONTH))
+ .add("null_p_m", YearMonthIntervalType(YEAR, MONTH)))
// Input parameter of UDF is null
val nullInput = Seq(null.asInstanceOf[java.time.Period]).toDF("null_p")
+ .select($"null_p",
+ $"null_p".cast(YearMonthIntervalType(YEAR, YEAR)).as("null_p_y"),
+ $"null_p".cast(YearMonthIntervalType(MONTH, MONTH)).as("null_p_m"))
val constPeriod = udf((_: java.time.Period) =>
java.time.Period.ofYears(10))
- val constResult = nullInput.select(constPeriod($"null_p").as("10_years"))
- checkAnswer(constResult, Row(java.time.Period.ofYears(10)) :: Nil)
- // TODO(SPARK-35777): Check all year-month interval types in UDF
- assert(constResult.schema === new StructType().add("10_years",
YearMonthIntervalType()))
+ val constResult = nullInput.select(constPeriod($"null_p").as("10_years"),
+ constPeriod($"null_p_y").as("p_y_10_years"),
constPeriod($"null_p_m").as("pm_10_years"))
+ checkAnswer(constResult, Row(java.time.Period.ofYears(10),
+ java.time.Period.ofYears(10), java.time.Period.ofYears(10)) :: Nil)
+ assert(constResult.schema === new StructType()
+ .add("10_years", YearMonthIntervalType())
+ .add("p_y_10_years", YearMonthIntervalType(YEAR, MONTH))
+ .add("pm_10_years", YearMonthIntervalType(YEAR, MONTH)))
Review comment:
Done
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/UDFSuite.scala
##########
@@ -904,25 +905,43 @@ class UDFSuite extends QueryTest with SharedSparkSession {
test("SPARK-34663: using java.time.Period in UDF") {
// Regular case
- val input = Seq(java.time.Period.ofMonths(11)).toDF("p")
+ val input = Seq(java.time.Period.ofMonths(13)).toDF("p")
+ .select($"p", $"p".cast(YearMonthIntervalType(YEAR, YEAR)).as("p_y"),
+ $"p".cast(YearMonthIntervalType(MONTH, MONTH)).as("p_m"))
val incMonth = udf((p: java.time.Period) => p.plusMonths(1))
- val result = input.select(incMonth($"p").as("new_p"))
- checkAnswer(result, Row(java.time.Period.ofYears(1)) :: Nil)
- // TODO(SPARK-35777): Check all year-month interval types in UDF
- assert(result.schema === new StructType().add("new_p",
YearMonthIntervalType()))
+ val result = input.select(incMonth($"p").as("new_p"),
+ incMonth($"p_y").as("new_p_y"),
+ incMonth($"p_m").as("new_p_m"))
+ checkAnswer(result, Row(java.time.Period.ofMonths(14).normalized(),
+ java.time.Period.ofMonths(13).normalized(),
+ java.time.Period.ofMonths(14).normalized()) :: Nil)
+ assert(result.schema === new StructType()
+ .add("new_p", YearMonthIntervalType(YEAR, MONTH))
+ .add("new_p_y", YearMonthIntervalType(YEAR, MONTH))
+ .add("new_p_m", YearMonthIntervalType(YEAR, MONTH)))
// UDF produces `null`
val nullFunc = udf((_: java.time.Period) =>
null.asInstanceOf[java.time.Period])
- val nullResult = input.select(nullFunc($"p").as("null_p"))
- checkAnswer(nullResult, Row(null) :: Nil)
- // TODO(SPARK-35777): Check all year-month interval types in UDF
- assert(nullResult.schema === new StructType().add("null_p",
YearMonthIntervalType()))
+ val nullResult = input.select(nullFunc($"p").as("null_p"),
+ nullFunc($"p_y").as("null_p_y"), nullFunc($"p_m").as("null_p_m"))
+ checkAnswer(nullResult, Row(null, null, null) :: Nil)
+ assert(nullResult.schema === new StructType()
+ .add("null_p", YearMonthIntervalType(YEAR, MONTH))
+ .add("null_p_y", YearMonthIntervalType(YEAR, MONTH))
+ .add("null_p_m", YearMonthIntervalType(YEAR, MONTH)))
Review comment:
DOne
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/UDFSuite.scala
##########
@@ -904,25 +905,43 @@ class UDFSuite extends QueryTest with SharedSparkSession {
test("SPARK-34663: using java.time.Period in UDF") {
// Regular case
- val input = Seq(java.time.Period.ofMonths(11)).toDF("p")
+ val input = Seq(java.time.Period.ofMonths(13)).toDF("p")
+ .select($"p", $"p".cast(YearMonthIntervalType(YEAR, YEAR)).as("p_y"),
+ $"p".cast(YearMonthIntervalType(MONTH, MONTH)).as("p_m"))
val incMonth = udf((p: java.time.Period) => p.plusMonths(1))
- val result = input.select(incMonth($"p").as("new_p"))
- checkAnswer(result, Row(java.time.Period.ofYears(1)) :: Nil)
- // TODO(SPARK-35777): Check all year-month interval types in UDF
- assert(result.schema === new StructType().add("new_p",
YearMonthIntervalType()))
+ val result = input.select(incMonth($"p").as("new_p"),
+ incMonth($"p_y").as("new_p_y"),
+ incMonth($"p_m").as("new_p_m"))
+ checkAnswer(result, Row(java.time.Period.ofMonths(14).normalized(),
+ java.time.Period.ofMonths(13).normalized(),
+ java.time.Period.ofMonths(14).normalized()) :: Nil)
+ assert(result.schema === new StructType()
+ .add("new_p", YearMonthIntervalType(YEAR, MONTH))
+ .add("new_p_y", YearMonthIntervalType(YEAR, MONTH))
+ .add("new_p_m", YearMonthIntervalType(YEAR, MONTH)))
Review comment:
Done
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/UDFSuite.scala
##########
@@ -904,25 +905,43 @@ class UDFSuite extends QueryTest with SharedSparkSession {
test("SPARK-34663: using java.time.Period in UDF") {
// Regular case
- val input = Seq(java.time.Period.ofMonths(11)).toDF("p")
+ val input = Seq(java.time.Period.ofMonths(13)).toDF("p")
+ .select($"p", $"p".cast(YearMonthIntervalType(YEAR, YEAR)).as("p_y"),
+ $"p".cast(YearMonthIntervalType(MONTH, MONTH)).as("p_m"))
val incMonth = udf((p: java.time.Period) => p.plusMonths(1))
- val result = input.select(incMonth($"p").as("new_p"))
- checkAnswer(result, Row(java.time.Period.ofYears(1)) :: Nil)
- // TODO(SPARK-35777): Check all year-month interval types in UDF
- assert(result.schema === new StructType().add("new_p",
YearMonthIntervalType()))
+ val result = input.select(incMonth($"p").as("new_p"),
+ incMonth($"p_y").as("new_p_y"),
+ incMonth($"p_m").as("new_p_m"))
+ checkAnswer(result, Row(java.time.Period.ofMonths(14).normalized(),
+ java.time.Period.ofMonths(13).normalized(),
+ java.time.Period.ofMonths(14).normalized()) :: Nil)
+ assert(result.schema === new StructType()
+ .add("new_p", YearMonthIntervalType(YEAR, MONTH))
+ .add("new_p_y", YearMonthIntervalType(YEAR, MONTH))
+ .add("new_p_m", YearMonthIntervalType(YEAR, MONTH)))
// UDF produces `null`
val nullFunc = udf((_: java.time.Period) =>
null.asInstanceOf[java.time.Period])
- val nullResult = input.select(nullFunc($"p").as("null_p"))
- checkAnswer(nullResult, Row(null) :: Nil)
- // TODO(SPARK-35777): Check all year-month interval types in UDF
- assert(nullResult.schema === new StructType().add("null_p",
YearMonthIntervalType()))
+ val nullResult = input.select(nullFunc($"p").as("null_p"),
+ nullFunc($"p_y").as("null_p_y"), nullFunc($"p_m").as("null_p_m"))
+ checkAnswer(nullResult, Row(null, null, null) :: Nil)
+ assert(nullResult.schema === new StructType()
+ .add("null_p", YearMonthIntervalType(YEAR, MONTH))
+ .add("null_p_y", YearMonthIntervalType(YEAR, MONTH))
+ .add("null_p_m", YearMonthIntervalType(YEAR, MONTH)))
// Input parameter of UDF is null
val nullInput = Seq(null.asInstanceOf[java.time.Period]).toDF("null_p")
+ .select($"null_p",
+ $"null_p".cast(YearMonthIntervalType(YEAR, YEAR)).as("null_p_y"),
+ $"null_p".cast(YearMonthIntervalType(MONTH, MONTH)).as("null_p_m"))
Review comment:
DOne
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/UDFSuite.scala
##########
@@ -904,25 +905,43 @@ class UDFSuite extends QueryTest with SharedSparkSession {
test("SPARK-34663: using java.time.Period in UDF") {
// Regular case
- val input = Seq(java.time.Period.ofMonths(11)).toDF("p")
+ val input = Seq(java.time.Period.ofMonths(13)).toDF("p")
+ .select($"p", $"p".cast(YearMonthIntervalType(YEAR, YEAR)).as("p_y"),
Review comment:
DOne
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