gatorsmile commented on a change in pull request #28736:
URL: https://github.com/apache/spark/pull/28736#discussion_r449184881
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File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/DateTimeFormatterHelper.scala
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@@ -126,6 +130,25 @@ trait DateTimeFormatterHelper {
s"before Spark 3.0, or set to CORRECTED and treat it as an invalid
datetime string.", e)
}
+ // When legacy time parser policy set to EXCEPTION, check whether we will
get different results
+ // between legacy formatter and new formatter. If new formatter fails but
legacy formatter works,
+ // throw a SparkUpgradeException. On the contrary, if the legacy policy set
to CORRECTED,
+ // DateTimeParseException will address by the caller side.
+ protected def checkFormattedDiff[T <: Date](
+ d: T,
+ legacyFormatFunc: T => String): PartialFunction[Throwable, String] = {
+ case e if needConvertToSparkUpgradeException(e) =>
+ val resultCandidate = try {
+ legacyFormatFunc(d)
+ } catch {
+ case _: Throwable => throw e
+ }
+ throw new SparkUpgradeException("3.0", s"Fail to format it to
'$resultCandidate' in the new" +
Review comment:
@HyukjinKwon Should we combine the JVM stacktrace for
SparkUpgradeException in the python side?
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