HyukjinKwon commented on issue #23202: [SPARK-26248][SQL] Infer date type from CSV URL: https://github.com/apache/spark/pull/23202#issuecomment-447701620 What I mean by exact match is, for instance, we use `FastDateFormat` (which is compatible with `SimpleDateFormat`): https://github.com/apache/spark/blob/8a27952cdbf492939d9bda59e2f516f574581636/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/TimestampFormatter.scala#L95 https://github.com/apache/spark/blob/8a27952cdbf492939d9bda59e2f516f574581636/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/TimestampFormatter.scala#L157 How do we handle the case below when legacy is on? ``` scala> import org.apache.commons.lang3.time.FastDateFormat import org.apache.commons.lang3.time.FastDateFormat scala> FastDateFormat.getInstance("yyyy-MM").parse("2010-10-10") res19: java.util.Date = Fri Oct 01 00:00:00 SGT 2010 scala> FastDateFormat.getInstance("yyyy-MM-dd").parse("2010-10-10") res20: java.util.Date = Sun Oct 10 00:00:00 SGT 2010 ``` It's going to introduce some arbitrary behaviours to end users.
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