gatorsmile commented on a change in pull request #23391: [SPARK-26456][SQL]
Cast date/timestamp to string by Date/TimestampFormatter
URL: https://github.com/apache/spark/pull/23391#discussion_r244823693
##########
File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/PartitioningUtils.scala
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@@ -230,7 +235,7 @@ object PartitioningUtils {
// Once we get the string, we try to parse it and find the partition
column and value.
val maybeColumn =
parsePartitionColumn(currentPath.getName, typeInference,
userSpecifiedDataTypes,
- validatePartitionColumns, timeZone)
+ validatePartitionColumns, timeZone, dateFormatter,
timestampFormatter)
Review comment:
If the data is read and wrote by the same version, it is fine. The problem
is the data could be written and read by different version of Spark. The case I
shown above is to join two tables that are written by different versions.
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