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https://issues.apache.org/jira/browse/FLINK-9897?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16554820#comment-16554820
 ] 

ASF GitHub Bot commented on FLINK-9897:
---------------------------------------

GitHub user glaksh100 opened a pull request:

    https://github.com/apache/flink/pull/6409

    Flink 9899.kinesis connector metrics

    ## What is the purpose of the change
    
    The purpose of this change is to add metrics to the `ShardConsumer` to get 
more observability into the performance of the Kinesis connector, including the 
enhancements introduced in 
[FLINK-9897](https://issues.apache.org/jira/browse/FLINK-9899) . 
    
    **Important** - https://github.com/apache/flink/pull/6408 has to be merged 
**before** taking out this change.
    
    ## Brief change log
    All metrics are added as gauges. The following per-shard metrics are added. 
:
    - sleepTimeMillis
    - maxNumberOfRecordsPerFetch
    - numberOfAggregatedRecordsPerFetch
    - numberOfDeaggregatedRecordsPerFetch
    - bytesRequestedPerFetch
    - averageRecordSizeBytes
    - runLoopTimeNanos
    - loopFrequencyHz
    
    ## Verifying this change
    
    This change is already covered by existing tests, such as: 
`ShardConsumerTest`, `KinesisDataFetcherTest`.
    
    ## Does this pull request potentially affect one of the following parts:
    
      - Dependencies (does it add or upgrade a dependency): (yes / **no**)
      - The public API, i.e., is any changed class annotated with 
`@Public(Evolving)`: (yes / **no**)
      - The serializers: (yes / **no** / don't know)
      - The runtime per-record code paths (performance sensitive): (yes / 
**no** / don't know)
      - Anything that affects deployment or recovery: JobManager (and its 
components), Checkpointing, Yarn/Mesos, ZooKeeper: (yes / **no** / don't know)
      - The S3 file system connector: (yes / **no** / don't know)
    
    ## Documentation
    
      - Does this pull request introduce a new feature? (yes / **no**)
      - If yes, how is the feature documented? (**not applicable** / docs / 
JavaDocs / not documented)


You can merge this pull request into a Git repository by running:

    $ git pull https://github.com/lyft/flink FLINK-9899.KinesisConnectorMetrics

Alternatively you can review and apply these changes as the patch at:

    https://github.com/apache/flink/pull/6409.patch

To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:

    This closes #6409
    
----
commit f333781a7c4f1a10b6120a962ff211e023bafaab
Author: Lakshmi Gururaja Rao <glaksh100@...>
Date:   2018-07-24T18:44:08Z

    [FLINK-9897] Make adaptive reads depend on run loop time instead of fetch 
interval millis
    
    Remove unused method

commit f51703177df9afcdba3778909b1e9d8b7fa4bf46
Author: Lakshmi Gururaja Rao <glaksh100@...>
Date:   2018-07-24T18:44:08Z

    [FLINK-9897] Make adaptive reads depend on run loop time instead of fetch 
interval millis

commit d493097d09c6223383282ed90648853715b197ce
Author: Lakshmi Gururaja Rao <glaksh100@...>
Date:   2018-07-24T21:13:53Z

    [FLINK-9899] Add more ShardConsumer metrics
    
    Checkstyle fix

----


> Further enhance adaptive reads in Kinesis Connector to depend on run loop time
> ------------------------------------------------------------------------------
>
>                 Key: FLINK-9897
>                 URL: https://issues.apache.org/jira/browse/FLINK-9897
>             Project: Flink
>          Issue Type: Improvement
>          Components: Kinesis Connector
>    Affects Versions: 1.4.2, 1.5.1
>            Reporter: Lakshmi Rao
>            Assignee: Lakshmi Rao
>            Priority: Major
>              Labels: pull-request-available
>
> In FLINK-9692, we introduced the ability for the shardConsumer to adaptively 
> read more records based on the current average record size to optimize the 2 
> Mb/sec shard limit. The feature maximizes  maxNumberOfRecordsPerFetch of 5 
> reads/sec (as prescribed by Kinesis limits). In the case where applications 
> take more time to process records in the run loop, they are no longer able to 
> read at a frequency of 5 reads/sec (even though their fetchIntervalMillis 
> maybe set to 200 ms). In such a scenario, the maxNumberOfRecordsPerFetch 
> should be calculated based on the time that the run loop actually takes as 
> opposed to fetchIntervalMillis. 



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