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From "nicu marasoiu (JIRA)" <>
Subject [jira] [Commented] (SPARK-7398) Add back-pressure to Spark Streaming (umbrella JIRA)
Date Thu, 01 Oct 2015 08:34:26 GMT


nicu marasoiu commented on SPARK-7398:


Can I help in any way? Back pressure is fundamental to implementing a reactive pipeline with
spark streaming.
I see that there is a single task which is not resolved, is it a clear thing that I can take

Thank you,

> Add back-pressure to Spark Streaming (umbrella JIRA)
> ----------------------------------------------------
>                 Key: SPARK-7398
>                 URL:
>             Project: Spark
>          Issue Type: Improvement
>          Components: Streaming
>    Affects Versions: 1.3.1
>            Reporter: Fran├žois Garillot
>            Assignee: Tathagata Das
>            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
> 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 original design doc can be found here:
> The second design doc, focusing [on the first sub-task|]
(without all the background info, and more centered on the implementation) can be found here:

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