You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2016/12/02 05:29:58 UTC
[jira] [Assigned] (SPARK-18620) Spark Streaming + Kinesis :
Receiver MaxRate is violated
[ https://issues.apache.org/jira/browse/SPARK-18620?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-18620:
------------------------------------
Assignee: (was: Apache Spark)
> 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
> Priority: Minor
> Labels: kinesis
> 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