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From François Garillot (JIRA) <>
Subject [jira] [Commented] (SPARK-7398) Add back-pressure to Spark Streaming
Date Thu, 18 Jun 2015 15:47:00 GMT


François Garillot commented on SPARK-7398:

Note this subsumes [SPARK-6691|], since dynamic
throttling is only one of the options we implement (besides dropping, sampling, interfacing
with a _Reactive Streams_-compliant source, and plug-your-own congestion strategy).

> Add back-pressure to Spark Streaming
> ------------------------------------
>                 Key: SPARK-7398
>                 URL:
>             Project: Spark
>          Issue Type: Improvement
>          Components: Streaming
>    Affects Versions: 1.3.1
>            Reporter: François Garillot
>              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 design doc can be found here:

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