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Posted to issues@spark.apache.org by "Marcelo Vanzin (JIRA)" <ji...@apache.org> on 2015/11/04 18:12:27 UTC
[jira] [Resolved] (SPARK-11235) Support streaming data using
network library
[ https://issues.apache.org/jira/browse/SPARK-11235?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Marcelo Vanzin resolved SPARK-11235.
------------------------------------
Resolution: Fixed
Assignee: Marcelo Vanzin
Fix Version/s: 1.6.0
> 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
> Assignee: Marcelo Vanzin
> Fix For: 1.6.0
>
>
> 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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