[ https://issues.apache.org/jira/browse/SPARK-11235?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-11235: ------------------------------------ Assignee: (was: Apache Spark) > 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. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org