[ 
https://issues.apache.org/jira/browse/FLINK-6503?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Flink Jira Bot updated FLINK-6503:
----------------------------------
    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.


> Refactor KinesisDataFetcher to separate concerns for shard discovery
> --------------------------------------------------------------------
>
>                 Key: FLINK-6503
>                 URL: https://issues.apache.org/jira/browse/FLINK-6503
>             Project: Flink
>          Issue Type: Improvement
>          Components: Connectors / Kinesis
>            Reporter: Tzu-Li (Gordon) Tai
>            Priority: Minor
>              Labels: auto-deprioritized-major, stale-minor
>
> Currently, shard discovery is done within the {{KinesisDataFetcher}} 's loop. 
> I propose to extract that from the fetcher and encapsulate that in a separate 
> class to separate concerns.
> As can be seen in 
> https://github.com/apache/flink/pull/3001/files#diff-0b702244caed9a73b7b3e1dc8a9cbaebR461,
>  one downside if we do not do this refactor is apparent when adding 
> rescalability of the Kinesis consumer. That required shards lookup operations 
> prioir to running the fetcher, which resulted in the need to expose shard 
> fetching logic external to the {{KinesisDataFetcher}}. This should be 
> properly done be separating concerns of shard discovery from the fetcher.



--
This message was sent by Atlassian Jira
(v8.20.1#820001)

Reply via email to