Jonathancui123 commented on code in PR #36871:
URL: https://github.com/apache/spark/pull/36871#discussion_r919291362
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sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/csv/CSVOptions.scala:
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@@ -148,7 +148,28 @@ class CSVOptions(
// A language tag in IETF BCP 47 format
val locale: Locale =
parameters.get("locale").map(Locale.forLanguageTag).getOrElse(Locale.US)
- val dateFormatInRead: Option[String] = parameters.get("dateFormat")
+ /**
+ * Infer columns with all valid date entries as date type (otherwise
inferred as timestamp type).
+ * Disabled by default for backwards compatibility and performance. When
enabled, date entries in
+ * timestamp columns will be cast to timestamp upon parsing. Not compatible
with
+ * legacyTimeParserPolicy == LEGACY since legacy date parser will accept
extra trailing characters
+ */
+ val inferDate = {
+ val inferDateFlag = getBool("inferDate")
+ if (SQLConf.get.legacyTimeParserPolicy == LegacyBehaviorPolicy.LEGACY &&
inferDateFlag) {
Review Comment:
In the [most recent
commit](https://github.com/apache/spark/pull/36871/commits/e1170d0ee2027d810d2b23243602de147748838b),
I implemented the suggestion from @cloud-fan to always use the non-legacy
parser for inference and allowing `inferDate=true` with `legacyTimeParserPolicy
= LEGACY`. What do you think?
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