docete edited a comment on issue #10268: [Flink-14599][table-planner-blink] Support precision of TimestampType in blink planner URL: https://github.com/apache/flink/pull/10268#issuecomment-557020423 > BTW, all the UDF are currently using `SqlTimestamp` as parameter, might be helpful to change some of them to `long` or `LocalDateTime`. According to the offline discuss, long is not acceptable for TIMESTAMP now. `LocalDateTime` and `Timestamp` exist in `CalcITCase`.`testTimeUDF` ` @SerialVersionUID(1L) object TimestampFunction extends ScalarFunction { def eval(t: java.sql.Timestamp): String = t.toString } @SerialVersionUID(1L) object DateTimeFunction extends ScalarFunction { def eval(t: LocalDateTime): String = t.toString } `
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