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https://issues.apache.org/jira/browse/FLINK-7622?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Flink Jira Bot updated FLINK-7622:
----------------------------------
    Labels: auto-deprioritized-major stale-minor  (was: 
auto-deprioritized-major)

I am the [Flink Jira Bot|https://github.com/apache/flink-jira-bot/] and I help 
the community manage its development. I see this issues has been marked as 
Minor but is unassigned and neither itself nor its Sub-Tasks have been updated 
for 180 days. I have gone ahead and marked it "stale-minor". If this ticket is 
still Minor, please either assign yourself or give an update. Afterwards, 
please remove the label or in 7 days the issue will be deprioritized.


> Respect local KPL queue size in FlinkKinesisProducer when adding records to 
> KPL client
> --------------------------------------------------------------------------------------
>
>                 Key: FLINK-7622
>                 URL: https://issues.apache.org/jira/browse/FLINK-7622
>             Project: Flink
>          Issue Type: Improvement
>          Components: Connectors / Kinesis
>            Reporter: Tzu-Li (Gordon) Tai
>            Priority: Minor
>              Labels: auto-deprioritized-major, stale-minor
>
> This issue was brought to discussion by [~sthm] offline.
> Currently, records are added to the Kinesis KPL producer client without 
> checking the number of outstanding records within the local KPL queue. This 
> manner is basically neglecting backpressure when producing to Kinesis through 
> KPL, and can therefore exhaust system resources.
> We should respect {{producer.getOutstandingRecordsCount()}} as a measure of 
> backpressure, and propagate backpressure upstream by blocking further sink 
> invocations when some threshold of outstanding record count is exceeded. The 
> recommended threshold [1] seems to be 10,000.
> [1] 
> https://aws.amazon.com/blogs/big-data/implementing-efficient-and-reliable-producers-with-the-amazon-kinesis-producer-library/



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