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https://issues.apache.org/jira/browse/SPARK-11698?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15002318#comment-15002318
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Apache Spark commented on SPARK-11698:
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User 'viirya' has created a pull request for this issue:
https://github.com/apache/spark/pull/9665
> Add option to ignore kafka messages that are out of limit rate
> --------------------------------------------------------------
>
> Key: SPARK-11698
> URL: https://issues.apache.org/jira/browse/SPARK-11698
> Project: Spark
> Issue Type: Improvement
> Components: Streaming
> Reporter: Liang-Chi Hsieh
>
> With spark.streaming.kafka.maxRatePerPartition, we can control the max rate
> limit. However, we can not ignore these messages out of limit. These messages
> will be consumed in next iteration. We have a use case that we need to ignore
> these messages and process latest messages in next iteration.
> In other words, we simply want to consume part of messages in each iteration
> and ignore remaining messages that are not consumed.
> We add an option for this purpose.
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