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https://issues.apache.org/jira/browse/SPARK-26268?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Dongjoon Hyun updated SPARK-26268:
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Affects Version/s: (was: 2.4.0)
3.0.0
> Decouple shuffle data from Spark deployment
> -------------------------------------------
>
> Key: SPARK-26268
> URL: https://issues.apache.org/jira/browse/SPARK-26268
> Project: Spark
> Issue Type: Improvement
> Components: Shuffle
> Affects Versions: 3.0.0
> Reporter: Ben Sidhom
> Priority: Major
>
> Right now the batch scheduler assumes that shuffle data is tied to executors.
> As a result, when an executor is lost, any map tasks that ran on that
> executor are rescheduled unless the "external" shuffle service is being used.
> Note that this service is only external in the sense that it does not live
> within executors themselves; its implementation cannot be swapped out and it
> is assumed to speak the BlockManager language.
> The following changes would facilitate external shuffle (see SPARK-25299 for
> motivation):
> * Do not rerun map tasks on lost executors when shuffle data is stored
> externally. For example, this could be determined by a property or by an
> additional method that all ShuffleManagers implement.
> * Do not assume that shuffle data is stored in the standard BlockManager
> format or that a BlockManager is or must be available to ShuffleManagers.
> Note that only the first change is actually required to realize the benefits
> of remote shuffle implementations as a phony (or null) BlockManager can be
> used by shuffle implementations.
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