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https://issues.apache.org/jira/browse/SPARK-12133?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or updated SPARK-12133:
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Description:
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.
was:
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.
> 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
>
> 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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