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https://issues.apache.org/jira/browse/SPARK-7398?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14605338#comment-14605338
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Iulian Dragos commented on SPARK-7398:
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[~tdas] here it is:
https://docs.google.com/document/d/1ls_g5fFmfbbSTIfQQpUxH56d0f3OksF567zwA00zK9E/edit?usp=sharing
> Add back-pressure to Spark Streaming
> ------------------------------------
>
> Key: SPARK-7398
> URL: https://issues.apache.org/jira/browse/SPARK-7398
> Project: Spark
> Issue Type: Improvement
> Components: Streaming
> Affects Versions: 1.3.1
> Reporter: François Garillot
> Priority: Critical
> Labels: streams
>
> Spark Streaming has trouble dealing with situations where
> batch processing time > batch interval
> Meaning a high throughput of input data w.r.t. Spark's ability to remove data
> from the queue.
> If this throughput is sustained for long enough, it leads to an unstable
> situation where the memory of the Receiver's Executor is overflowed.
> This aims at transmitting a back-pressure signal back to data ingestion to
> help with dealing with that high throughput, in a backwards-compatible way.
> The design doc can be found here:
> https://docs.google.com/document/d/1ZhiP_yBHcbjifz8nJEyPJpHqxB1FT6s8-Zk7sAfayQw/edit?usp=sharing
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