MaxGekk commented on code in PR #55952:
URL: https://github.com/apache/spark/pull/55952#discussion_r3273514108
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sql/api/src/main/scala/org/apache/spark/sql/errors/DataTypeErrors.scala:
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@@ -275,4 +275,18 @@ private[sql] object DataTypeErrors extends
DataTypeErrorsBase {
messageParameters = Map("precision" -> precision.toString),
cause = null)
}
+
+ def unsupportedTimestampNtzPrecisionError(precision: String): Throwable = {
Review Comment:
To pass any garbage from an user while parsing the type in json. The regex
captures p as text. For values like "9" * 20, p.toInt throws
NumberFormatException. I catch that and raise UNSUPPORTED_TIMESTAMP_*_PRECISION
with the original digit string in the error (see DataTypeSuite — I do not want
a bare NumberFormatException or a misleading message).
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