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Fabian Hueske commented on FLINK-11220: --------------------------------------- Yes. We should add variants for Scala parameters (with {{Expression}} instead of {{String}}) and Scala's implicit conversions ({{Table}} -> {{TableConversions}}). In addition we should have this for retraction streams as well. > Can not Select row time field in JOIN query > ------------------------------------------- > > Key: FLINK-11220 > URL: https://issues.apache.org/jira/browse/FLINK-11220 > Project: Flink > Issue Type: Bug > Components: Table API & SQL > Affects Versions: 1.8.0 > Reporter: sunjincheng > Priority: Major > > SQL: > {code:java} > Orders...toTable(tEnv, 'orderId, 'orderTime.rowtime) > Payment...toTable(tEnv, 'orderId, 'payTime.rowtime) > SELECT orderTime, o.orderId, payTime > FROM Orders AS o JOIN Payment AS p > ON o.orderId = p.orderId AND > p.payTime BETWEEN orderTime AND orderTime + INTERVAL '1' HOUR > {code} > Execption: > {code:java} > org.apache.flink.table.api.TableException: Found more than one rowtime field: > [orderTime, payTime] in the table that should be converted to a DataStream. > Please select the rowtime field that should be used as event-time timestamp > for the DataStream by casting all other fields to TIMESTAMP. > at > org.apache.flink.table.api.StreamTableEnvironment.translate(StreamTableEnvironment.scala:906) > {code} > The reason for the error is that we have 2 time fields `orderTime` and > `payTime`. I think we do not need throw the exception, and we can remove > the logic of `plan.process(new OutputRowtimeProcessFunction[A](conversion, > rowtimeFields.head.getIndex))`, if we want using the timestamp after > toDataSteram, we should using `assignTimestampsAndWatermarks()`. > What do you think ? [~twalthr] [~fhueske] > -- This message was sent by Atlassian JIRA (v7.6.3#76005)