MaxGekk commented on code in PR #43243:
URL: https://github.com/apache/spark/pull/43243#discussion_r1350457873
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sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/csv/CSVInferSchema.scala:
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@@ -202,8 +202,11 @@ class CSVInferSchema(val options: CSVOptions) extends
Serializable {
// We can only parse the value as TimestampNTZType if it does not have
zone-offset or
// time-zone component and can be parsed with the timestamp formatter.
// Otherwise, it is likely to be a timestamp with timezone.
- if (timestampNTZFormatter.parseWithoutTimeZoneOptional(field,
false).isDefined) {
- SQLConf.get.timestampType
+ val timestampType = SQLConf.get.timestampType
+ if ((SQLConf.get.legacyTimeParserPolicy == LegacyBehaviorPolicy.LEGACY ||
+ timestampType == TimestampNTZType) &&
+ timestampNTZFormatter.parseWithoutTimeZoneOptional(field,
false).isDefined) {
Review Comment:
Could you clarify this:
(legacyTimeParserPolicy = LEGACY || timestampType == TimestampLTZType)
we are trying to parse it as NTZ, and it is parsable we return
`TimestampLTZType`?
This confuses me, return `TIMESTAMP LTZ` when the input was parsed by a NTZ
function.
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