Github user xccui commented on a diff in the pull request:
https://github.com/apache/flink/pull/4532#discussion_r132820853
--- Diff:
flink-libraries/flink-table/src/main/scala/org/apache/flink/table/api/StreamTableEnvironment.scala
---
@@ -667,30 +719,62 @@ abstract class StreamTableEnvironment(
// get CRow plan
val plan: DataStream[CRow] = translateToCRow(logicalPlan, queryConfig)
+ val rowtimeFields = logicalType
+ .getFieldList.asScala
+ .filter(f => FlinkTypeFactory.isRowtimeIndicatorType(f.getType))
+
+ // convert the input type for the conversion mapper
+ // the input will be changed in the OutputRowtimeProcessFunction later
+ val convType = if (rowtimeFields.size > 1) {
+ throw new TableException(
--- End diff --
I got an idea, but not sure if it's applicable. We allow multiple rowtime
fields in a stream but only activate one in an operator. Since the timestamps
are stored in records, the other inactive rowtime fields can just be taken as
common fields. Any changes on the rowtime fields will render them invalid for
rowtime use. IMO, there are not too many queries (maybe only over aggregate and
join) depending on the rowtime, thus the optimizer may be able to deduce which
rowtime field should be activated in an operator. However, some existing logics
may be affected by that.
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