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https://issues.apache.org/jira/browse/SPARK-11235?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14968192#comment-14968192
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Apache Spark commented on SPARK-11235:
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User 'vanzin' has created a pull request for this issue:
https://github.com/apache/spark/pull/9206
> Support streaming data using network library
> --------------------------------------------
>
> Key: SPARK-11235
> URL: https://issues.apache.org/jira/browse/SPARK-11235
> Project: Spark
> Issue Type: New Feature
> Components: Spark Core
> Reporter: Marcelo Vanzin
>
> As part of the work to implement SPARK-11140, it would be nice to have the
> network library efficiently stream data over a connection.
> Currently all it has is the shuffle data protocol, which is not very
> efficient for large files; it requires the whole file to be buffered on the
> receiver side before the receiver can do anything. For large files, that
> comes at a huge cost in memory. You can chunk large files but that requires
> the client to ask for each chunk separately.
> Instead, a similar approach but allowing the data to be processed as it
> arrives would be a lot more efficient, and make it easier to implement the
> file server in the referenced bug.
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