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https://issues.apache.org/jira/browse/FLINK-13792?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Flink Jira Bot updated FLINK-13792:
-----------------------------------
      Labels: auto-deprioritized-major auto-deprioritized-minor  (was: 
auto-deprioritized-major stale-minor)
    Priority: Not a Priority  (was: Minor)

This issue was labeled "stale-minor" 7 days ago and has not received any 
updates so it is being deprioritized. If this ticket is actually Minor, please 
raise the priority and ask a committer to assign you the issue or revive the 
public discussion.


> source and sink support manual rate limit
> -----------------------------------------
>
>                 Key: FLINK-13792
>                 URL: https://issues.apache.org/jira/browse/FLINK-13792
>             Project: Flink
>          Issue Type: Improvement
>          Components: Connectors / Common
>    Affects Versions: 1.8.1
>            Reporter: zzsmdfj
>            Priority: Not a Priority
>              Labels: auto-deprioritized-major, auto-deprioritized-minor
>
> in current flink implement automatic flow control by back pressure, it is 
> efficient for the most scene, but in some special scenario, do we need 
> fine-grained flow control to avoid impact on other systems? For example: if i 
> have window with days(a lot of datas), then do call ProcessWindowFunction 
> when trigger, this will produce a lot of data to sink, if sink to message 
> queue, it can have a huge impact to message queue. so if there is sink rate 
> limiter, it is friendly to external system. for source rate limiter, it is 
> appropriate for having window operator and accumulating a large amount of 
> historical data.



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