[jira] [Resolved] (SPARK-18620) Spark Streaming + Kinesis : Receiver MaxRate is violated

["Sean Owen (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-18620?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sean Owen resolved SPARK-18620.
-------------------------------
       Resolution: Fixed
    Fix Version/s: 2.2.0

Issue resolved by pull request 16114
[https://github.com/apache/spark/pull/16114]

> Spark Streaming + Kinesis : Receiver MaxRate is violated
> --------------------------------------------------------
>
>                 Key: SPARK-18620
>                 URL: https://issues.apache.org/jira/browse/SPARK-18620
>             Project: Spark
>          Issue Type: Bug
>          Components: DStreams
>    Affects Versions: 2.0.2
>            Reporter: david przybill
>            Assignee: Takeshi Yamamuro
>            Priority: Minor
>              Labels: kinesis
>             Fix For: 2.2.0
>
>         Attachments: Apply_limit in_spark_with_my_patch.png, Apply_limit in_vanilla_spark.png, Apply_no_limit.png
>
>
> I am calling spark-submit passing maxRate, I have a single kinesis receiver, and batches of 1s
> spark-submit  --conf spark.streaming.receiver.maxRate=10 ....
> however a single batch can greatly exceed the stablished maxRate. i.e: Im getting 300 records.
> it looks like Kinesis is completely ignoring the spark.streaming.receiver.maxRate configuration.
> If you look inside KinesisReceiver.onStart, you see:
> val kinesisClientLibConfiguration =
>   new KinesisClientLibConfiguration(checkpointAppName, streamName, awsCredProvider, workerId)
>   .withKinesisEndpoint(endpointUrl)
>   .withInitialPositionInStream(initialPositionInStream)
>   .withTaskBackoffTimeMillis(500)
>   .withRegionName(regionName)
> This constructor ends up calling another constructor which has a lot of default values for the configuration. One of those values is DEFAULT_MAX_RECORDS which is constantly set to 10,000 records.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org