[ https://issues.apache.org/jira/browse/BEAM-198?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Etienne Chauchot closed BEAM-198. --------------------------------- Fix Version/s: Not applicable Resolution: Fixed > Spark runner batch translator to work with Datasets instead of RDDs > ------------------------------------------------------------------- > > Key: BEAM-198 > URL: https://issues.apache.org/jira/browse/BEAM-198 > Project: Beam > Issue Type: New Feature > Components: runner-spark > Reporter: Amit Sela > Assignee: Jean-Baptiste Onofré > Priority: Major > Fix For: Not applicable > > > Currently, the Spark runner translates batch pipelines into RDD code, meaning > it doesn't benefit from the optimizations DataFrames (which isn't type-safe) > enjoys. > With Datasets, batch pipelines will benefit the optimizations, adding to that > that Datasets are type-safe and encoder-based they seem like a much better > fit for the Beam model. > Looking ahead, Datasets is a good choice since it's the basis for the future > of Spark streaming as well (Structured Streaming) so this will hopefully lay > a solid foundation for a native integration between Spark 2.0 and Beam. -- This message was sent by Atlassian Jira (v8.3.4#803005)