cloud-fan commented on a change in pull request #27710: [SPARK-30960][SQL] add
back the legacy date/timestamp format support in CSV/JSON parser
URL: https://github.com/apache/spark/pull/27710#discussion_r384933114
##########
File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/csv/UnivocityParser.scala
##########
@@ -175,10 +175,30 @@ class UnivocityParser(
}
case _: TimestampType => (d: String) =>
- nullSafeDatum(d, name, nullable, options)(timestampFormatter.parse)
+ nullSafeDatum(d, name, nullable, options) { datum =>
+ try {
+ timestampFormatter.parse(datum)
+ } catch {
+ case NonFatal(e) =>
+ // If fails to parse, then tries the way used in 2.0 and 1.x for
backwards
+ // compatibility.
+ val str = UTF8String.fromString(datum)
+ DateTimeUtils.stringToTimestamp(str,
options.zoneId).getOrElse(throw e)
Review comment:
I know they are different implementations, but we care more about the
behavior to end users.
Are there any timestamp strings that can be parsed by `stringToTime` but not
`stringToTimestamp`?
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