Felix Cheung resolved SPARK-17790.
       Resolution: Fixed
         Assignee: Hossein Falaki
    Fix Version/s: 2.1.0

> Support for parallelizing R data.frame larger than 2GB
> ------------------------------------------------------
>                 Key: SPARK-17790
>                 URL: https://issues.apache.org/jira/browse/SPARK-17790
>             Project: Spark
>          Issue Type: Sub-task
>          Components: SparkR
>    Affects Versions: 2.0.1
>            Reporter: Hossein Falaki
>            Assignee: Hossein Falaki
>             Fix For: 2.0.2, 2.1.0
> This issue is a more specific version of SPARK-17762. 
> Supporting larger than 2GB arguments is more general and arguably harder to 
> do because the limit exists both in R and JVM (because we receive data as a 
> ByteArray). However, to support parallalizing R data.frames that are larger 
> than 2GB we can do what PySpark does.
> PySpark uses files to transfer bulk data between Python and JVM. It has 
> worked well for the large community of Spark Python users. 

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