MaxGekk commented on a change in pull request #33278:
URL: https://github.com/apache/spark/pull/33278#discussion_r666821477
##########
File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/datetimeExpressions.scala
##########
@@ -1091,8 +1091,13 @@ abstract class ToTimestamp
override protected def formatString: Expression = right
override protected def isParsing = true
+ override def forTimestampNTZ: Boolean = left.dataType match {
+ case TimestampNTZType => true
+ case _ => false
+ }
+
Review comment:
Would be simpler to invoke isInstanceOf? Like
```scala
override def forTimestampNTZ: Boolean =
left.dataType.isInstanceOf[TimestampNTZType]
```
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DateFunctionsSuite.scala
##########
@@ -587,16 +587,22 @@ class DateFunctionsSuite extends QueryTest with
SharedSparkSession {
val date2 = Date.valueOf("2015-07-25")
val ts1 = Timestamp.valueOf("2015-07-24 10:00:00.3")
val ts2 = Timestamp.valueOf("2015-07-25 02:02:02.2")
+ val ntzTs1 = LocalDateTime.parse("2015-07-24T10:00:00.3")
+ val ntzTs2 = LocalDateTime.parse("2015-07-25T02:02:02.2")
val s1 = "2015/07/24 10:00:00.5"
val s2 = "2015/07/25 02:02:02.6"
val ss1 = "2015-07-24 10:00:00"
val ss2 = "2015-07-25 02:02:02"
val fmt = "yyyy/MM/dd HH:mm:ss.S"
- val df = Seq((date1, ts1, s1, ss1), (date2, ts2, s2, ss2)).toDF("d",
"ts", "s", "ss")
+ val df = Seq((date1, ts1, ntzTs1, s1, ss1), (date2, ts2, ntzTs2, s2,
ss2)).toDF(
+ "d", "ts", "ntzTs", "s", "ss")
checkAnswer(df.select(unix_timestamp(col("ts"))), Seq(
Row(secs(ts1.getTime)), Row(secs(ts2.getTime))))
checkAnswer(df.select(unix_timestamp(col("ss"))), Seq(
Row(secs(ts1.getTime)), Row(secs(ts2.getTime))))
+ checkAnswer(df.select(unix_timestamp(col("ntzTs"))), Seq(
+
Row(secs(DateTimeUtils.microsToMillis(DateTimeUtils.localDateTimeToMicros(ntzTs1)))),
+
Row(secs(DateTimeUtils.microsToMillis(DateTimeUtils.localDateTimeToMicros(ntzTs2))))))
Review comment:
It would be nice to check that the type of the result is `timestamp_ntz`
but not `timestamp_ltz`.
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