Github user tarekauel commented on a diff in the pull request:
https://github.com/apache/spark/pull/6981#discussion_r34337937
--- Diff:
sql/core/src/test/scala/org/apache/spark/sql/DatetimeExpressionsSuite.scala ---
@@ -45,4 +48,121 @@ class DatetimeExpressionsSuite extends QueryTest {
0).getTime - System.currentTimeMillis()) < 5000)
}
+
+
+ val sdf = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss")
+ val sdfDate = new SimpleDateFormat("yyyy-MM-dd")
+ val d = new Date(sdf.parse("2015-04-08 13:10:15").getTime)
+ val ts = new Timestamp(sdf.parse("2013-04-08 13:10:15").getTime)
+
+
+ test("date format") {
+ val df = Seq((d, sdf.format(d), ts)).toDF("a", "b", "c")
+
+ checkAnswer(
+ df.select(dateFormat("a", "y"), dateFormat("b", "y"),
dateFormat("c", "y")),
+ Row("2015", "2015", "2013"))
+
+ checkAnswer(
+ df.selectExpr("dateFormat(a, 'y')", "dateFormat(b, 'y')",
"dateFormat(c, 'y')"),
+ Row("2015", "2015", "2013"))
+ }
+
+ test("year") {
+ val df = Seq((d, sdfDate.format(d), ts)).toDF("a", "b", "c")
+
+ checkAnswer(
+ df.select(year("a"), year("b"), year("c")),
+ Row(2015, 2015, 2013))
+
+ checkAnswer(
+ df.selectExpr("year(a)", "year(b)", "year(c)"),
+ Row(2015, 2015, 2013))
+ }
+
+ test("quarter") {
+ val ts = new Timestamp(sdf.parse("2013-11-08 13:10:15").getTime)
+
+ val df = Seq((d, sdfDate.format(d), ts)).toDF("a", "b", "c")
+
+ checkAnswer(
+ df.select(quarter("a"), quarter("b"), quarter("c")),
+ Row(2, 2, 4))
+
+ checkAnswer(
+ df.selectExpr("quarter(a)", "quarter(b)", "quarter(c)"),
+ Row(2, 2, 4))
+ }
+
+ test("month") {
+ val df = Seq((d, sdfDate.format(d), ts)).toDF("a", "b", "c")
+
+ checkAnswer(
+ df.select(month("a"), month("b"), month("c")),
+ Row(4, 4, 4))
+
+ checkAnswer(
+ df.selectExpr("month(a)", "month(b)", "month(c)"),
+ Row(4, 4, 4))
+ }
+
+ test("day") {
+ val df = Seq((d, sdfDate.format(d), ts)).toDF("a", "b", "c")
+
+ checkAnswer(
+ df.select(day("a"), day("b"), day("c")),
+ Row(8, 8, 8))
+
+ checkAnswer(
+ df.selectExpr("day(a)", "day(b)", "day(c)"),
+ Row(8, 8, 8))
+ }
+
+ test("hour") {
+ val df = Seq((d, sdf.format(d), ts)).toDF("a", "b", "c")
+
+ checkAnswer(
+ df.select(hour("a"), hour("b"), hour("c")),
+ Row(0, 13, 13))
+
+ checkAnswer(
+ df.selectExpr("hour(a)", "hour(b)", "hour(c)"),
+ Row(0, 13, 13))
+ }
+
+ test("minute") {
+ val df = Seq((d, sdf.format(d), ts)).toDF("a", "b", "c")
+
+ checkAnswer(
+ df.select(minute("a"), minute("b"), minute("c")),
+ Row(0, 10, 10))
+
+ checkAnswer(
+ df.selectExpr("minute(a)", "minute(b)", "minute(c)"),
+ Row(0, 10, 10))
+ }
+
+ test("second") {
+ val df = Seq((d, sdf.format(d), ts)).toDF("a", "b", "c")
+
+ checkAnswer(
+ df.select(second("a"), second("b"), second("c")),
+ Row(0, 15, 15))
+
+ checkAnswer(
+ df.selectExpr("second(a)", "second(b)", "second(c)"),
+ Row(0, 15, 15))
--- End diff --
This test crashes because of
```
== Analyzed Logical Plan ==
second(a): int, second(b): int, second(c): int
Project [second(CAST(a#101, TimestampType)) AS
second(a)#104,second(CAST(b#102, TimestampType)) AS second(b)#105,second(c#103)
AS second(c)#106]
Project [_1#98 AS a#101,_2#99 AS b#102,_3#100 AS c#103]
LocalRelation [_1#98,_2#99,_3#100], [[16533,2015-04-08
13:10:15,1365451815000000]]
[...]
java.lang.ClassCastException: java.lang.Long cannot be cast to
java.lang.Integer
java.lang.ClassCastException: java.lang.Long cannot be cast to
java.lang.Integer
at scala.runtime.BoxesRunTime.unboxToInt(BoxesRunTime.java:106)
at org.apache.spark.sql.Row$class.getInt(Row.scala:214)
at
org.apache.spark.sql.catalyst.InternalRow.getInt(InternalRow.scala:28)
```
I'm still investigating it. Has someone an idea what the problem might be?
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