cloud-fan commented on code in PR #53370:
URL: https://github.com/apache/spark/pull/53370#discussion_r2605048497
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sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/DateTimeUtils.scala:
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@@ -897,6 +897,117 @@ object DateTimeUtils extends SparkDateTimeUtils {
}
}
+ private def withTimeConversionErrorHandling(f: => Long): Long = {
+ try {
+ val nanos = f
+ if (nanos < 0 || nanos >= NANOS_PER_DAY) {
+ throw new DateTimeException(
+ s"Invalid TIME value: must be between 00:00:00 and
23:59:59.999999999, " +
+ s"but got $nanos nanoseconds")
+ }
+ nanos
+ } catch {
+ case e: DateTimeException =>
+ throw QueryExecutionErrors.ansiDateTimeArgumentOutOfRange(e)
+ case e: ArithmeticException =>
+ val wrapped = new DateTimeException(s"Overflow in TIME conversion:
${e.getMessage}", e)
+ throw QueryExecutionErrors.ansiDateTimeArgumentOutOfRange(wrapped)
+ }
+ }
+
+ /**
+ * Creates a TIME value from seconds since midnight (integral types).
+ * @param seconds Seconds (0 to 86399)
+ * @return Nanoseconds since midnight
+ */
+ def timeFromSeconds(seconds: Long): Long = withTimeConversionErrorHandling {
+ Math.multiplyExact(seconds, NANOS_PER_SECOND)
+ }
+
+ /**
+ * Creates a TIME value from seconds since midnight (decimal type).
+ * @param seconds Seconds (0 to 86399.999999)
+ * @return Nanoseconds since midnight
+ */
+ def timeFromSeconds(seconds: Decimal): Long =
withTimeConversionErrorHandling {
+ val operand = new java.math.BigDecimal(NANOS_PER_SECOND)
+ seconds.toJavaBigDecimal.multiply(operand).longValueExact()
+ }
+
+ /**
+ * Creates a TIME value from seconds since midnight (float type).
+ * @param seconds Seconds (0 to 86399.999999)
+ * @return Nanoseconds since midnight
+ */
+ def timeFromSeconds(seconds: Float): Long = withTimeConversionErrorHandling {
Review Comment:
do we need the `float` version? the `double` version can cover it.
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