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https://issues.apache.org/jira/browse/SPARK-17485?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-17485:
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    Assignee: Apache Spark  (was: Josh Rosen)

> Failed remote cached block reads can lead to whole job failure
> --------------------------------------------------------------
>
>                 Key: SPARK-17485
>                 URL: https://issues.apache.org/jira/browse/SPARK-17485
>             Project: Spark
>          Issue Type: Improvement
>          Components: Block Manager
>    Affects Versions: 1.6.2, 2.0.0
>            Reporter: Josh Rosen
>            Assignee: Apache Spark
>            Priority: Critical
>             Fix For: 2.0.1, 2.1.0
>
>
> In Spark's RDD.getOrCompute we first try to read a local copy of a cached 
> block, then a remote copy, and only fall back to recomputing the block if no 
> cached copy (local or remote) can be read. This logic works correctly in the 
> case where no remote copies of the block exist, but if there _are_ remote 
> copies but reads of those copies fail (due to network issues or internal 
> Spark bugs) then the BlockManager will throw a {{BlockFetchException}} error 
> that fails the entire job.
> In the case of torrent broadcast we really _do_ want to fail the entire job 
> in case no remote blocks can be fetched, but this logic is inappropriate for 
> cached blocks because those can/should be recomputed.
> Therefore, I think that this exception should be thrown higher up the call 
> stack by the BlockManager client code and not the block manager itself.



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