cloud-fan commented on code in PR #32959:
URL: https://github.com/apache/spark/pull/32959#discussion_r884899219
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sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/DateTimeUtils.scala:
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@@ -518,44 +516,55 @@ object DateTimeUtils {
* The return type is [[Option]] in order to distinguish between 0 and null.
The following
* formats are allowed:
*
- * `yyyy`
- * `yyyy-[m]m`
- * `yyyy-[m]m-[d]d`
- * `yyyy-[m]m-[d]d `
- * `yyyy-[m]m-[d]d *`
- * `yyyy-[m]m-[d]dT*`
+ * `[+-]yyyy*`
+ * `[+-]yyyy*-[m]m`
+ * `[+-]yyyy*-[m]m-[d]d`
+ * `[+-]yyyy*-[m]m-[d]d `
+ * `[+-]yyyy*-[m]m-[d]d *`
+ * `[+-]yyyy*-[m]m-[d]dT*`
*/
def stringToDate(s: UTF8String): Option[Int] = {
- if (s == null) {
+ def isValidDigits(segment: Int, digits: Int): Boolean = {
+ // An integer is able to represent a date within [+-]5 million years.
+ var maxDigitsYear = 7
Review Comment:
It's expected that not all the data sources and BI clients support datetime
values larger than `10000-01-01`, the question is when the failure should
happen.
It looks to me that the Hive table should fail to write `22022-05-01` with
`textfile` source, and the hive jdbc should fail at the client-side saying
`22022-05-01` is not supported.
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