[ 
https://issues.apache.org/jira/browse/FLINK-8144?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Dian Fu updated FLINK-8144:
---------------------------
    Comment: was deleted

(was: {{AbstractKeyedCEPPatternOperator}} has similar logic as 
{{RowTimeUnboundedOver}}. As described in FLINK-8106, we find that the 
performance is very bad under the current logic for 
{{AbstractKeyedCEPPatternOperator}}. The throughput can increase from 10+ tps 
to about 3500 tps for one operator in the case of RocksDBStateBackend after 
optimizing the timer logic. I think the optimization should also apply to 
{{RowTimeUnboundedOver}}.

BTW: the watermark we use in the CEP use case is 
{{AssignerWithPunctuatedWatermarks}}. It will generate one watermark for every 
input element.)

> Optimize the timer logic in RowTimeUnboundedOver
> ------------------------------------------------
>
>                 Key: FLINK-8144
>                 URL: https://issues.apache.org/jira/browse/FLINK-8144
>             Project: Flink
>          Issue Type: Bug
>          Components: Table API & SQL
>            Reporter: Dian Fu
>            Assignee: Dian Fu
>             Fix For: 1.5.0
>
>
> Currently the logic of {{RowTimeUnboundedOver}} is as follows:
> 1) When element comes, buffer it in MapState and and register a timer at 
> {{current watermark + 1}}
> 2) When event timer triggered, scan the MapState and find the elements below 
> the current watermark and process it. If there are remaining elements to 
> process, register a new timer at {{current watermark + 1}}.
> Let's assume that watermark comes about 5 seconds later than the event on 
> average, then we will scan about 5000 times the MapState before actually 
> processing the events.



--
This message was sent by Atlassian JIRA
(v6.4.14#64029)

Reply via email to