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From "Andrew Or (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-12133) Support dynamic allocation in Spark Streaming
Date Fri, 04 Dec 2015 01:30:11 GMT

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

Andrew Or updated SPARK-12133:
------------------------------
    Assignee: Tathagata Das

> 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
>
> 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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