PythonRDD.scala has a number of PySpark specific conventions (for example worker reuse, exceptions etc.) and PySpark specific protocols (e.g. for communicating accumulators, broadcasts between the JVM and Python etc.). While it might be possible to refactor the two classes to share some more code I don't think its worth making the code more complex in order to do that.
Thanks Shivaram On Thu, Aug 6, 2015 at 1:27 AM, Daniel Li <daniell...@gmail.com> wrote: > On behalf of Renyi Xiong - > > When reading Spark codebase, looks to me PythonRDD.scala is reusable, I > wonder why SparkR choose to implement its own RRDD.scala? > > thanks > Daniel --------------------------------------------------------------------- To unsubscribe, e-mail: dev-unsubscr...@spark.apache.org For additional commands, e-mail: dev-h...@spark.apache.org
