[jira] [Resolved] (SPARK-7398) Add back-pressure to Spark Streaming (umbrella JIRA)

["Hyukjin Kwon (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-7398?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-7398.
---------------------------------
    Resolution: Incomplete

> Add back-pressure to Spark Streaming (umbrella JIRA)
> ----------------------------------------------------
>
>                 Key: SPARK-7398
>                 URL: https://issues.apache.org/jira/browse/SPARK-7398
>             Project: Spark
>          Issue Type: Improvement
>          Components: DStreams
>    Affects Versions: 1.3.1
>            Reporter: François Garillot
>            Assignee: Tathagata Das
>            Priority: Critical
>              Labels: bulk-closed, 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 original design doc can be found here:
> https://docs.google.com/document/d/1ZhiP_yBHcbjifz8nJEyPJpHqxB1FT6s8-Zk7sAfayQw/edit?usp=sharing
> The second design doc, focusing [on the first sub-task|https://issues.apache.org/jira/browse/SPARK-8834] (without all the background info, and more centered on the implementation) can be found here:
> https://docs.google.com/document/d/1ls_g5fFmfbbSTIfQQpUxH56d0f3OksF567zwA00zK9E/edit?usp=sharing



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