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https://issues.apache.org/jira/browse/FLINK-1287?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14244223#comment-14244223
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ASF GitHub Bot commented on FLINK-1287:
---------------------------------------

Github user asfgit closed the pull request at:

    https://github.com/apache/incubator-flink/pull/258


> Improve File Input Split assignment
> -----------------------------------
>
>                 Key: FLINK-1287
>                 URL: https://issues.apache.org/jira/browse/FLINK-1287
>             Project: Flink
>          Issue Type: Improvement
>          Components: Local Runtime
>            Reporter: Robert Metzger
>            Assignee: Fabian Hueske
>
> While running some DFS read-intensive benchmarks, I found that the assignment 
> of input splits is not optimal. In particular in cases where the numWorker != 
> numDataNodes and when the replication factor is low (in my case it was 1).
> In the particular example, the input had 40960 splits, of which 4694 were 
> read remotely.  Spark did only 2056 remote reads for the same dataset.
> With the replication factor increased to 2, Flink did only 290 remote reads. 
> So usually, users shouldn't be affected by this issue.



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