bart-samwel commented on a change in pull request #28576:
URL: https://github.com/apache/spark/pull/28576#discussion_r428104252
##########
File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/DateTimeFormatterHelper.scala
##########
@@ -31,17 +31,50 @@ import org.apache.spark.sql.internal.SQLConf
import org.apache.spark.sql.internal.SQLConf.LegacyBehaviorPolicy._
trait DateTimeFormatterHelper {
+ private def getOrDefault(accessor: TemporalAccessor, field: ChronoField,
default: Int): Int = {
+ if (accessor.isSupported(field)) {
+ accessor.get(field)
+ } else {
+ default
+ }
+ }
+
+ protected def toLocalDate(accessor: TemporalAccessor, allowMissingYear:
Boolean): LocalDate = {
+ val year = if (accessor.isSupported(ChronoField.YEAR)) {
+ accessor.get(ChronoField.YEAR)
+ } else if (allowMissingYear) {
+ // To keep backward compatibility with Spark 2.x, we pick 1970 as the
default value of year.
+ 1970
+ } else {
+ throw new SparkUpgradeException("3.0",
+ "Year must be given in the date/timestamp string to be parsed. You can
set " +
+ SQLConf.LEGACY_ALLOW_MISSING_YEAR_DURING_PARSING.key + " to true, to
pick 1970 as " +
+ "the default value of year.", null)
+ }
+ val month = getOrDefault(accessor, ChronoField.MONTH_OF_YEAR, 1)
Review comment:
Yikes! It seems terrible that we have to do that later, because then it
can break existing workloads. Launching the ANSI behavior was our chance to do
the right thing here. If we can still fix this in 3.0 then that would of course
be preferable, but that seems like a stretch...
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