Hi, Window agg 使用可以参考[1],其中 first argument 可以是 Process time 或者 Eventime。
[1] https://ci.apache.org/projects/flink/flink-docs-release-1.12/dev/table/sql/queries.html#group-windows Best, Hailong 在 2020-12-14 09:41:12,"[email protected]" <[email protected]> 写道: >TUMBLE第一个参数需要的就是bigint,你这边time_local 直接用就好,不用转另外TIMESTAMP > > > >[email protected] > >发件人: kandy.wang >发送时间: 2020-12-14 10:28 >收件人: user-zh >主题: Window aggregate can only be defined over a time attribute column, but >TIMESTAMP(3) encountered. >[ERROR] Could not execute SQL statement. >Reason:org.apache.flink.table.api.TableException: Window aggregate can only be >defined over a time attribute column, but TIMESTAMP(3) encountered. > > >SQL 如下: >create temporary view expose as > >select > >mid > >,time_local > >,TO_TIMESTAMP(FROM_UNIXTIME(time_local / 1000, 'yyyy-MM-dd HH:mm:ss')) as >log_ts > >,proctime > >from hive.temp.kafka_table > >; >time_local 是bigint > > > >select TUMBLE_START(log_ts, INTERVAL '1' MINUTE) as log_minute,count(1) pv > >from expose > >group by TUMBLE(log_ts, INTERVAL '1' MINUTE); > > >window agg的字段报错,如何解决。
