Marcelo Vanzin created SPARK-11235:
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Summary: 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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