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https://issues.apache.org/jira/browse/SPARK-5920?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Patrick Wendell resolved SPARK-5920.
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Resolution: Won't Fix
Per the discussion on this PR I am resolving this as won't fix.
https://github.com/apache/spark/pull/4878
[~kayousterhout] please feel free to re-open if I misinterpreted.
> Use a BufferedInputStream to read local shuffle data
> ----------------------------------------------------
>
> Key: SPARK-5920
> URL: https://issues.apache.org/jira/browse/SPARK-5920
> Project: Spark
> Issue Type: Improvement
> Components: Shuffle
> Affects Versions: 1.2.1, 1.3.0
> Reporter: Kay Ousterhout
> Assignee: Kay Ousterhout
> Priority: Blocker
>
> When reading local shuffle data, Spark doesn't currently buffer the local
> reads into larger chunks, which can lead to terrible disk performance if many
> tasks are concurrently reading local data from the same disk. We should use
> a BufferedInputStream to mitigate this problem; we can lazily create the
> input stream to avoid allocating a bunch of in-memory buffers at the same
> time for tasks that read shuffle data from a large number of local blocks.
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