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https://issues.apache.org/jira/browse/SPARK-8835?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16348886#comment-16348886
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Apache Spark commented on SPARK-8835:
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User 'EmergentOrder' has created a pull request for this issue:
https://github.com/apache/spark/pull/20478
> Provide pluggable Congestion Strategies to deal with Streaming load
> -------------------------------------------------------------------
>
> Key: SPARK-8835
> URL: https://issues.apache.org/jira/browse/SPARK-8835
> Project: Spark
> Issue Type: Sub-task
> Components: DStreams
> Reporter: François Garillot
> Priority: Major
>
> Second part of [SPARK-7398|https://issues.apache.org/jira/browse/SPARK-7398]
> (which has an over-arching, high-level design doc).
> An (outdated) [PoC
> implementation|https://github.com/huitseeker/spark/tree/ReactiveStreamingBackPressureControl/]
> exists.
> Note that throttling in the current (Spark 1.5.0) way pushes down the
> (fast-overflowing) buffer of received elements down to the TCP stack, which
> then has to deal with the break. This can be witnessed here :
> https://github.com/skyluc/spark-streaming-testbed/tree/test-runs-006/test-runs-006
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