MaxGekk commented on a change in pull request #32212:
URL: https://github.com/apache/spark/pull/32212#discussion_r615272903
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File path:
sql/catalyst/src/test/scala/org/apache/spark/sql/RandomDataGenerator.scala
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@@ -275,8 +275,13 @@ object RandomDataGenerator {
case DayTimeIntervalType => Some(() => {
val maxSeconds = Duration.ofDays(106751991).getSeconds
val seconds = rand.nextLong() % maxSeconds
+ // The precision of java.time.Duration is nanosecond, but when it is
used as
+ // DayTimeIntervalType in Spark, it is microsecond. Here by following
the behavior
+ // of DurationConverter to achieve consistency
val nanoAdjustment = rand.nextLong() % 999999000
- Duration.ofSeconds(seconds, nanoAdjustment)
+ val duration = Duration.ofSeconds(seconds, nanoAdjustment)
+ val micros = IntervalUtils.durationToMicros(duration)
+ IntervalUtils.microsToDuration(micros)
})
case YearMonthIntervalType => Some(() => {
Review comment:
The same here:
```scala
case YearMonthIntervalType => Some(() =>
Period.ofMonths(rand.nextInt()))
```
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