yiyutian1 commented on code in PR #25763:
URL: https://github.com/apache/flink/pull/25763#discussion_r1889051321
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flink-table/flink-table-common/src/main/java/org/apache/flink/table/utils/DateTimeUtils.java:
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@@ -365,6 +368,38 @@ public static TimestampData toTimestampData(double v, int
precision) {
}
}
+ public static TimestampData toTimestampData(int v, int precision) {
+ switch (precision) {
+ case 0:
+ if (MIN_EPOCH_SECONDS <= v && v <= MAX_EPOCH_SECONDS) {
+ return timestampDataFromEpochMills((v *
MILLIS_PER_SECOND));
+ } else {
+ return null;
+ }
+ case 3:
+ return timestampDataFromEpochMills(v);
+ default:
+ throw new TableException(
+ "The precision value '"
+ + precision
+ + "' for function "
+ + "TO_TIMESTAMP_LTZ(numeric, precision) is
unsupported,"
+ + " the supported value is '0' for second or
'3' for millisecond.");
+ }
+ }
+
+ public static TimestampData toTimestampData(long epoch) {
+ return toTimestampData(epoch, DEFAULT_PRECISION);
+ }
+
+ public static TimestampData toTimestampData(double epoch) {
+ return toTimestampData(epoch, DEFAULT_PRECISION);
+ }
+
+ public static TimestampData toTimestampData(DecimalData epoch) {
+ return toTimestampData(epoch, DEFAULT_PRECISION);
+ }
Review Comment:
Hi @snuyanzin , thanks for the comment!
I need to register these functions in `BuiltInMethods.scala` so that they
can be exposed API calls. If I move these methods to my function class, I will
have to `lookupMethod` my new function class there. Do you think that’s
preferred than the current way?
My reasoning for the current way is that `lookupMethod` only need to call
the common `DataTimeUtils.java` library class, to follow the existing pattern,
and for easier maintainbility. (edited)
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