Jonathancui123 commented on code in PR #36871: URL: https://github.com/apache/spark/pull/36871#discussion_r918142012
########## sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/csv/CSVInferSchema.scala: ########## @@ -117,7 +123,10 @@ class CSVInferSchema(val options: CSVOptions) extends Serializable { case LongType => tryParseLong(field) case _: DecimalType => tryParseDecimal(field) case DoubleType => tryParseDouble(field) + case DateType => tryParseDateTime(field) + case TimestampNTZType if options.inferDate => tryParseDateTime(field) Review Comment: Our expected behavior is that in a column with `TimestampType` entries and then `DateType` entries, the column will be inferred as `TimestampType`. Here, `tryParseTimestampNTZ` and `tryParseTimestamp` will not be able to parse the `DateType` entries that show up later in the column and the column will be promoted to string type. So we must use `tryParseDateTime` which will give a chance for the date to be parsed. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org