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https://issues.apache.org/jira/browse/BEAM-8382?focusedWorklogId=339688&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-339688
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ASF GitHub Bot logged work on BEAM-8382:
----------------------------------------

                Author: ASF GitHub Bot
            Created on: 07/Nov/19 01:56
            Start Date: 07/Nov/19 01:56
    Worklog Time Spent: 10m 
      Work Description: jfarr commented on issue #9765: [WIP][BEAM-8382] Add 
rate limit policy to KinesisIO.Read
URL: https://github.com/apache/beam/pull/9765#issuecomment-550584252
 
 
   > 1. Have we try to use Kinesis's RetryPolicy and BackoffStrategy? This look 
like we reengineer this feature, which already supported by Kinesis's API. Here 
is the example: 
https://www.programcreek.com/java-api-examples/?api=com.amazonaws.retry.RetryPolicy.
 If we already tried it, then what would be the reasons not to use the 
Kinesis's one ?
   
   I'm not sure if RetryPolicy and BackoffStrategy apply to 
LimitExceededException / ProvisionedThroughputExceededException but I can look 
into that. If so I think it makes sense to just configure this in the Kinesis 
client instead of having a BackoffRateLimitPolicy. What do you think 
@aromanenko-dev and @lukecwik ?
 
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Issue Time Tracking
-------------------

    Worklog Id:     (was: 339688)
    Time Spent: 9h  (was: 8h 50m)

> Add polling interval to KinesisIO.Read
> --------------------------------------
>
>                 Key: BEAM-8382
>                 URL: https://issues.apache.org/jira/browse/BEAM-8382
>             Project: Beam
>          Issue Type: Improvement
>          Components: io-java-kinesis
>    Affects Versions: 2.13.0, 2.14.0, 2.15.0
>            Reporter: Jonothan Farr
>            Assignee: Jonothan Farr
>            Priority: Major
>          Time Spent: 9h
>  Remaining Estimate: 0h
>
> With the current implementation we are observing Kinesis throttling due to 
> ReadProvisionedThroughputExceeded on the order of hundreds of times per 
> second, regardless of the actual Kinesis throughput. This is because the 
> ShardReadersPool readLoop() method is polling getRecords() as fast as 
> possible.
> From the KDS documentation:
> {quote}Each shard can support up to five read transactions per second.
> {quote}
> and
> {quote}For best results, sleep for at least 1 second (1,000 milliseconds) 
> between calls to getRecords to avoid exceeding the limit on getRecords 
> frequency.
> {quote}
> [https://docs.aws.amazon.com/streams/latest/dev/service-sizes-and-limits.html]
> [https://docs.aws.amazon.com/streams/latest/dev/developing-consumers-with-sdk.html]



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