Github user JoshRosen commented on a diff in the pull request:

    https://github.com/apache/spark/pull/6759#discussion_r32872239
  
    --- Diff: 
sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/util/DateTimeUtilsSuite.scala
 ---
    @@ -21,19 +21,31 @@ import java.sql.Timestamp
     
     import org.apache.spark.SparkFunSuite
     
    -class DateUtilsSuite extends SparkFunSuite {
    +class DateTimeUtilsSuite extends SparkFunSuite {
     
    -  test("timestamp") {
    +  test("timestamp and 100ns") {
         val now = new Timestamp(System.currentTimeMillis())
         now.setNanos(100)
    -    val ns = DateUtils.fromJavaTimestamp(now)
    +    val ns = DateTimeUtils.fromJavaTimestamp(now)
         assert(ns % 10000000L == 1)
    -    assert(DateUtils.toJavaTimestamp(ns) == now)
    +    assert(DateTimeUtils.toJavaTimestamp(ns) == now)
     
         List(-111111111111L, -1L, 0, 1L, 111111111111L).foreach { t =>
    -      val ts = DateUtils.toJavaTimestamp(t)
    -      assert(DateUtils.fromJavaTimestamp(ts) == t)
    -      assert(DateUtils.toJavaTimestamp(DateUtils.fromJavaTimestamp(ts)) == 
ts)
    +      val ts = DateTimeUtils.toJavaTimestamp(t)
    +      assert(DateTimeUtils.fromJavaTimestamp(ts) == t)
    +      
assert(DateTimeUtils.toJavaTimestamp(DateTimeUtils.fromJavaTimestamp(ts)) == ts)
         }
       }
    +
    +  test("100ns and julian day") {
    --- End diff --
    
    Are there any other inputs that are worth testing here?  It wouldn't be 
super hard to fuzz this using the invariant that some of these methods should 
be inverses.


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