MaxGekk commented on a change in pull request #34596:
URL: https://github.com/apache/spark/pull/34596#discussion_r759660603
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File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/csv/CSVOptions.scala
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@@ -164,6 +164,10 @@ class CSVOptions(
s"${DateFormatter.defaultPattern}'T'HH:mm:ss[.SSS][XXX]"
})
+ val timestampNTZFormatInRead: Option[String] =
parameters.get("timestampNTZFormat")
+ val timestampNTZFormatInWrite: String =
parameters.getOrElse("timestampNTZFormat",
+ s"${DateFormatter.defaultPattern}'T'HH:mm:ss[.SSS]")
Review comment:
> It is the same reason as for timestampFormat above ...
The option was added when Spark's timestamp type had milliseconds precision.
Now the precision is microsecond, and don't see any reasons to loose info in
write, by default.
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