Sorry I mean 16:00:05, but it should be similar. ------------------Original Mail ------------------
Sender:Yun Gao <yungao...@aliyun.com> Send Date:Thu Dec 23 17:05:33 2021 Recipients:cy <caiyi_2...@126.com> CC:'user@flink.apache.org' <user@flink.apache.org> Subject:Re: Re:Re: Window Aggregation and Window Join ability not work properly Hi Caiyi, I think if the image shows all the records, after the change we should only have the watermark at 16:05, which is still not be able to trigger the window of 5 minutes? Best, Yun ------------------Original Mail ------------------ Sender:cy <caiyi_2...@126.com> Send Date:Thu Dec 23 15:44:23 2021 Recipients:Yun Gao <yungao...@aliyun.com> CC:'user@flink.apache.org' <user@flink.apache.org> Subject:Re:Re: Window Aggregation and Window Join ability not work properly I change to watermark for `datatime` as `datatime` - interval '1' second or watermark for `datatime` as `datatime` but is still not work. At 2021-12-23 15:16:20, "Yun Gao" <yungao...@aliyun.com> wrote: Hi Caiyi, The window need to be finalized with watermark[1]. I noticed that the watermark defined is `datatime` - INTERVAL '5' MINUTE, it means the watermark emitted would be the maximum observed timestamp so far minus 5 minutes [1]. Therefore, if we want to trigger the window of 16:00 ~ 16:05, there should be one record with datetime >= 16:10 get processed, then the source would emit the watermark >= 16:05 to finalize the window, otherwise there would be no output due to no window is finalized. Best, Yun [1] https://nightlies.apache.org/flink/flink-docs-release-1.14/docs/dev/table/sql/create/#watermark ------------------Original Mail ------------------ Sender:cy <caiyi_2...@126.com> Send Date:Thu Dec 23 09:52:40 2021 Recipients:'user@flink.apache.org' <user@flink.apache.org> Subject:Window Aggregation and Window Join ability not work properly Hi Flink 1.14.2Scala 2.12 I'm using flink sql window aggregation and window join ability, I write the sql as documentation said but is not work. Here is my schema and sql schema: sql; SELECT window_start, window_end, COUNT(*) FROM TABLE( TUMBLE(TABLE `origin`.`queue_3_ads_ccops_sdn_vrs_result`, DESCRIPTOR(datatime), INTERVAL '5' MINUTES)) GROUP BY window_start, window_end; result: data: Similar with window join ability. So is anything wrong with this two abilities? Need your help, thank you.
