[jira] [Resolved] (SPARK-12133) Support dynamic allocation in Spark Streaming

["Andrew Or (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-12133?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Andrew Or resolved SPARK-12133.
-------------------------------
       Resolution: Fixed
    Fix Version/s: 2.0.0

> Support dynamic allocation in Spark Streaming
> ---------------------------------------------
>
>                 Key: SPARK-12133
>                 URL: https://issues.apache.org/jira/browse/SPARK-12133
>             Project: Spark
>          Issue Type: Bug
>          Components: Spark Core, Streaming
>            Reporter: Andrew Or
>            Assignee: Tathagata Das
>             Fix For: 2.0.0
>
>         Attachments: dynamic-allocation-streaming-design.pdf
>
>
> Dynamic allocation is a feature that allows your cluster resources to scale up and down based on the workload. Currently it doesn't work well with Spark streaming because of several reasons:
> (1) Your executors may never be idle since they run something every N seconds
> (2) You should have at least one receiver running always
> (3) The existing heuristics don't take into account length of batch queue
> ...
> The goal of this JIRA is to provide better support for using dynamic allocation in streaming. A design doc will be posted shortly.



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