srowen 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_r244656099
##########
File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/PartitioningUtils.scala
##########
@@ -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:
@MaxGekk you probably have a better summary than I do, but is the problem
fundamentally about writing formatted dates incorrectly? older dates would have
slightly the wrong hour/minute, and was it because the timezone wasn't fully
and correctly specified? and this would manifest if writing to JSON or CSV?
yeah, a brief summary of the type of bug that was fixed by the new parser would
be helpful in the release notes (just "Docs text" of the JIRA)
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