brkyvz commented on code in PR #37933:
URL: https://github.com/apache/spark/pull/37933#discussion_r978224414
##########
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/csv/CSVInferSchema.scala:
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@@ -59,6 +59,13 @@ class CSVInferSchema(val options: CSVOptions) extends
Serializable {
ExprUtils.getDecimalParser(options.locale)
}
+ // Date formats that could be parsed in DefaultTimestampFormatter
+ // Reference: DateTimeUtils.parseTimestampString
+ // Used to determine inferring a column with mixture of dates and timestamps
as TimestampType or
+ // StringType when no timestamp format is specified (the lenient timestamp
formatter will be used)
+ private val LENIENT_TS_FORMATTER_SUPPORTED_DATE_FORMATS = Set(
+ "yyyy-MM-dd", "yyyy-M-d", "yyyy-M-dd", "yyyy-MM-d", "yyyy-MM", "yyyy-M",
"yyyy")
Review Comment:
These are variants of the lenient timestamp formatter's supported date
formats. It's not a hardcoded list of what the user can use.
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